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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), 2011<br />

<strong>CONTENTS</strong><br />

- Governing The Territory In A Phase Of Globalization:The Issue Of The<br />

Territorial Planning And The Local Development<br />

Majed Ali Kareem………………………..……………………………………………....……………..1<br />

- On Cp-Open Sets And Two Classes Of Functions<br />

Alias B. Khalaf and Shilan A. Mohammad ...…..……………………………………….……………..9<br />

- Genetic Diversity Assessment And Variety Identification Of Peach (Prunus<br />

persica) From Kurdistan Region-Iraq Using Aflp Markers<br />

Shaymaa H. Ali ..…………………………………………………………………….….……………..17<br />

- Existence And Uniqueness Solution For Nonlinear Volterra Integral Equation<br />

Raad. N. Butris and Ava Sh. Rafeeq………………………………………….….………….………..25<br />

- Protective Effects Of Melatonin, Vitamin E, Vitamin C And Their<br />

Combinations On Chronic Lead –Induced Hypertensive Rats<br />

Ismail Mustafa Maulood………………………………………….….……………………….………..30<br />

- Engineering Classification And Index Properties Of The Rocks At Derbandi<br />

Gomasbpan – Suggested Dam Site<br />

Mohamed Tahir A. Brifcani………………………..………………………….….………….………..39<br />

- Spectophotometric Determination Of Paracetamole Via Oxidative Coupling<br />

With Phenylephrine Ydrochloride<br />

In Pharmaceutical Preparations<br />

Firas Muhsen Al-Esawati and Raeed Megeed Qadir…………………..…………………….………..52<br />

- Certain Species Of Mallophaga (Bird Lice) Occuring On Domestic Pigeons<br />

(Columba Livia Domestica Gmelin, 1789) In Erbil City-Iraq<br />

Rezan Kamal Ahmed…………………..………………………………………….………….………..58<br />

- Incidence Of Blood Stream Infection In Neonate Care Unit In Sulaimani<br />

Pediatric Teaching Hospital<br />

Sahand K. Arif and Golzar F. Abdulrahman …………………..………………………..….………..63<br />

- Bioaccumulation Of Some Heavy Metals In The Tissues Of Two Fish Species<br />

(Barbus luteus And Cyprinion macrostomum) In Greater Zab River- Iraq<br />

Nashmeel Sa’id Khdhir, Lana S. Al-Alem and Shamall M.A. Abdullah ……....………..….………..71<br />

- Eccentricity Of The Horizontal Axial Restraint Force For Straight And<br />

Cambered Beams<br />

Kanaan Sliwo Youkhanna Athuraia and. Riyadh Shafiq Al-Rawi ……………....………..….………..78<br />

- Three Dimensional Representation Of A Remote Structure Using Reflectorless<br />

Total Station Instrument<br />

Raad Awad Kattan and Sami Mamlook Gilyana…………………….………....………..….………..87<br />

- On Generalizations Of Regular Rings<br />

Abdullah M. Abdul-Jabbar………………………………………….………....………..….………..100


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), 2011<br />

- The Existence And Uniqueness Solution For Nonlinear System Of Fractional<br />

Integro-Differential Equations<br />

Hussein J. Zekry……………………………….…………………….………....………..….………..106<br />

- Spectrophotometric Determination Of Phenylephrine Hydrochloride In<br />

Pharmaceutical Preparations<br />

Firas Muhsen Al-Esawati…………………………………………….………....………..….………..112<br />

- Use Of Water Quality Index And Dissolved Oxygen Saturation As Indicators Of<br />

Water Pollution Of Erbil Wastewater Channel And Greater Zab River.<br />

Yahya A. Shekha and Jamal K. Al-Abaychi …………………………………....………..….……....119<br />

- Flexural Analysis Of Fibrous Concrete Ground Square Slab<br />

Azad A. Mohammed………………………………………………..…………....………..….……....127<br />

- Tests On Axially Restrained Ferrocement Slab Strips<br />

Azad Abdulkadr Mohammed and Yaman Sami Shareef …………………………….…..………....138<br />

- Some New Separation Axioms<br />

Zanyar A. Ameen And Ramadhan A. Muhammed……………………………...……….…..……....156<br />

- Some New Separation Axioms<br />

Zanyar A. Ameen and Baravan A. Asaad……………………..………………...……….…..……....160<br />

- Gamma – Ray And Annealing Effects On The Energy Gap Of Galss<br />

AHMAD KHALAF MEHEEMEED and SULAIMAN HUSSEIN AL-SADOON ……..……...……...……......165<br />

- Effect Of Long-Term Administration Of Melatonin, Vitamin E, Vitamin C And<br />

Their Combinations On Some Lipid Profiles And Renal Function Tests In Rats<br />

Exposed To Lead Toxicity<br />

Almas M.R. Mahmud……………………..………………………...…………...……….…..……....177<br />

- Hyalomma aegyptium As A Dominant Tick On Certain Tortoises Of The Testudo<br />

graeca In Erbil Province-Kurdistan Region-Iraq<br />

Qaraman Mamakhidr Koyee………………..……………..………...…………...……….…..……....186<br />

- On Detectionof Feedback In The Time Series<br />

Sameera Abdulsalam Othman………………..……………..……....…………...……….…..……....191<br />

- The Singularity Of M-Connected Graph<br />

Payman A.Rashed………………..……………..……....…………...……….…..……………….......207<br />

- A Study Of Naupliar Stages Of Mesocyclops edax Forbes, 1891(Copepoda:<br />

Cyclopoida)<br />

Luay A. Ali and Kazhal H. H. Rahim………………..……………..…..…....………….......……....217<br />

- Effect Of Salicylic Acid On Some Biomass And Biochemical Changes Of<br />

Drought- Stressed Wheat (Triticum aestivum L. var. Cham 6) Seedlings<br />

Fakhriya M. Karim and Mohammed Q. Khursheed……………..……................……….…..……....223<br />

- Bacteriological Study And Antibacterial Activity Of Honey Against Some<br />

Pathogenic Bacteria Isolated From Burn Infections<br />

Suhaila N. Darogha and Ahmed A.Q.A.S. Al-Naqshbandi…………………...……….…….……....232


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), 2011<br />

- Ann-Based Static Slip Power Recovery Control Of Wrim Drive<br />

Ali A. Rasool and Hilmi F. Ameen……………..……................……….…..……...........................242<br />

- Lower Bound Of T-Blocking Sets In Pg(2, q ) And Existence Of Minimal<br />

Blocking Sets Of Size 16 And 17 In Pg(2,9)<br />

Abdul Khalik L.Yassen and Chinar A.Ahamed ……………..……................……….…..……….253<br />

- A Multiple Classifier System For Supervised Classification Of Remotely Sensed<br />

Data<br />

Ahmed AK. Tahir……………..……................……….…..……........................................................260<br />

- Experimental Determination Of Paschen Curve And First Townsend Coefficient<br />

Of Nitrogen Plasma Discharge<br />

Sabah Ibrahim Wais……………..……................……….…..…….....................................................274<br />

- Numerical Solution Of Gray-Scott Model By A.D.M. And F.D.M.<br />

Saad A. Manaa And Chully M. R. ……………..…….............….…..…….........................................281<br />

- Anatomical Comparison Between Cissus Repens, Cayratia Japonica (Vitaceae)<br />

And Leea Aequata (Leeaceae)<br />

Chnar Najmaddin, Khatija Hussin, And Haja Maideen……………..……................……….…......290<br />

- Effects Of Acetamiprid And Glyphosate Pesticides On Testis And Serum<br />

Testosterone Level In Male Mice<br />

Mahmoud Ahmed Chawsheen……………..……................……….…..……......................................299<br />

- Minimal Blocking Sets In Pg(2,7) And Lower Bounds Of The Sixth And Seventh<br />

Blocking Sets.<br />

Chinar A. Kareem……………..……................……….…..…….......................................................207


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 1-8, 2011<br />

GOVERNING THE TERRITORY IN A PHASE OF GLOBALIZATION:<br />

THE ISSUE OF THE TERRITORIAL PLANNING<br />

AND THE LOCAL DEVELOPMENT<br />

MAJED ALI KAREEM<br />

Urban & Regional Planning, University of Venice-Italy<br />

(Received: January 22, 2009; Accepted for publication: November 28, 2010)<br />

ABSTRACT<br />

One of the consequences of the present of the financial, communicative and decisional nets globalization is to make<br />

ineffective the traditional instruments for the direct control of the territory by the public authorities. The territories<br />

are nowadays structured in over-regional and over-national nets and fluxes which tend to establish direct relations<br />

with the single local systems (i.e., towns, districts, regions, tourist resorts, etc).<br />

In this complex situation, the territorial planning shall thus and in first place propose itself as governance, that is<br />

to say as governing negotial process for the cooperative and conflictual interactions between subjects which are<br />

capable, for various reasons, to act on the territory and transform it.<br />

The scope of this research is to investigate on the role of the territorial planning in relation with two relational<br />

aspects: global and local. The target is that to locate a methodological approach able to have an “open” view to the<br />

territorial phenomenon in a globalized context; to define the territorial planning’s role, procedures and instruments.<br />

T<br />

PROBLEM DEFINITION<br />

he territory becomes ever more<br />

fragmented in parts, each one of which<br />

tends to become a “junction” of over-local<br />

networks and, therefore, to follow different<br />

development routes according to the long<br />

distance relation system to which it belongs. At<br />

the same time each one of these subjects<br />

depends ever less from those relations of<br />

physical proximity with the contiguous<br />

territories, which were the territorial planning’s<br />

existence and operative justification. The<br />

proximity relations continue, anyway, to be<br />

important also and above all in order to optimize<br />

the long distance local relations; but just for this<br />

reason they risk to be subordinate to an<br />

exogenous rationality which tend to impose<br />

itself as the territorial organization’s principle<br />

also at a local level.<br />

In order to plan rationally a territory it should<br />

be necessary to check this nets body which<br />

however, for its trans-national nature, today is<br />

not directly controllable by any public authority.<br />

On the other end neither these “long nets” nor<br />

the organizations which operates them can<br />

directly control the territories which they use as<br />

“anchorages” for their junctions and as physical<br />

paths of their fluxes. They interact with the<br />

territories and try to obtain “competitive<br />

advantages” through a series of negotiations<br />

with those private and public subjects who, for<br />

various reasons, operate or have competences on<br />

a local level.<br />

WHAT ROLE FOR THE<br />

TERRITORIAL PLAN?<br />

The role of the “Territorial Plan” 1 today and<br />

in the next future, must be placed in the local<br />

development context 2 . It has to take into<br />

account, above all, the growing role of the<br />

municipalities-being the base level of the<br />

territory governance – and of the pluralities of<br />

the institutions involved by the growing<br />

environmental problems’s expansion and<br />

complexity, but also by the ever major difficulty<br />

to govern the local effects (Perulli, P., 2000), of<br />

decisions taken elsewhere and which are taken<br />

basing on pure sectorial rationalities. Its role<br />

seems to be usefully subdivisible in three main<br />

directions: knowledge and evaluation, strategic<br />

orientation and netting, in being conflicts’<br />

adjustment.<br />

a) A first function concerns the cognitive and<br />

evaluation support which the territorial plan can<br />

supply to all the subjects, capable, for various<br />

reasons, to affect the territorial and urban<br />

conditions and dynamics (Mazza L., 1997).<br />

This function is important locally, not only the<br />

local authonomies couldn’t be efficaciously<br />

excercised unless on the base of an adequate<br />

knowledge of the reality into which they are<br />

asked to weigh heavily (and often such a<br />

knowledge is precluded to the Municipalities for<br />

territorial dimensions and technical, professional<br />

and administrative resources). In general, there<br />

could be not an effective dialogue between the<br />

various interested subjects unless it would be on<br />

the base of data and objective ties’ common<br />

1


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 1-8, 2011<br />

knowledge, of the values and the stakes at play,<br />

reasons of conflict and effects associable with<br />

the different alternatives corresponding to the<br />

different interests which legitimately confront<br />

each other.<br />

b) A second function concerns the actions<br />

strategic orientation, exercised by different<br />

subjects in different sectors, susceptible to affect<br />

the conditions and the dynamic of a district’s<br />

territory. Such a function, traditionally entrusted<br />

to the territorial planning, assumes today<br />

particular importance above all in relation to<br />

emerging exigencies. As already noted, the local<br />

systems exploitation requires, the netting of<br />

resources, opportunities, projects and initiatives<br />

which, themselves alone, couldn’t allow the<br />

insertion of endogenous and self propulsive<br />

developments (Rullani E., 1997). It means, in<br />

other terms, to favour, on a wide territorial area,<br />

synergic interactions, complementarity relations,<br />

and proximity and cohesion ties able to create a<br />

cooperative sphere propitious to the local<br />

systems’ durable development and to the<br />

strengthening of their own competitive capacity.<br />

The development processes rooting in the<br />

specific structural conditions of a specific<br />

territory in all its natural, historical and cultural<br />

aspects, requires the construction of images,<br />

visions and long term strategies able to foresee<br />

and, if possible, to anticipate the cumulative and<br />

indirect effects of the in being dynamics and the<br />

programmable actions to control same.<br />

These exigencies emphasize the usefulness<br />

of the referring scenarios, continuously and<br />

flexibly adapted to the changes of the economic,<br />

territorial and environmental conditions, and the<br />

opportunity to direct the interest of the various<br />

actors and economical and institutional available<br />

resources towards some integrated projects of<br />

strategic prominence.<br />

c) A third function, more properly and directly<br />

ruler, concerns the protection of the over-local<br />

interests which are of specific competence of the<br />

district. Such competence, to be precise, through<br />

the legislative reforms, both national and<br />

regional (Castells M., 1997), concerns certainly<br />

some typical contents which cannot be<br />

adequately treated only within local scale (i.e.,<br />

the municipal area), like those which concern the<br />

whole territory organization, the intermediate<br />

scale infrastructural systems, the soil protection<br />

and the hydraulic, hydrogeological and<br />

hydroforestal arrangement, as well as the<br />

institution of parks and natural reservoirs.<br />

2<br />

Beside, such competence must be better defined<br />

for at least two aspects.<br />

From one side it is necessary to consider the<br />

role that a wide area’s (a whole region) planning<br />

is requested to develop and to ensure the respect<br />

and the exploitation of the territorial structural<br />

characters. Certainly also those relevant to the<br />

landscape and historical-cultural characteristics<br />

and the territory ecological infrastructure.<br />

From the other it occurs that not necessarily<br />

the territorial planning ruling action expresses<br />

itself with immediately binding and prevailing<br />

regulations on the possible different rules of the<br />

local or other sectorial plans. The legislative<br />

systems of the territorial plans show that the<br />

ruling efficacy can be entrusted more frequently<br />

to guidelines or to negotiated regulations which<br />

responsibilize the local power, especially when<br />

the subject to be protected is consisting in<br />

properties or resources whose precise<br />

determination requires probing or specifications<br />

which can be more profitably carried out on a<br />

local area. It concerns two related aspects: as a<br />

matter of fact the conspicuous widening of the<br />

contents and of the territorial plan’s application<br />

field couldn’t be proposable and juridically<br />

sustainable should such contents translate into<br />

tight and immediately binding rules.<br />

On this matter it can be affirmed that the<br />

territorial plan’s specificity comes from its<br />

capacity to treat certain territorial subjects<br />

(Magnaghi A. 2005) which assume a thematic ,<br />

problematic, projectual, managerial and ruling<br />

specificity due to the fact of being<br />

conceptualized to district level (for instance:<br />

ecological nets, “green parks”, housing<br />

nets, short range tourist circuits, local work<br />

markets etc).<br />

PRELIMINARY CONDITIONS<br />

The procedures for the territorial plan<br />

drawing represent the mean to reach the creation<br />

of new, shared rules for the territory<br />

management and its changes, of new “statutes”<br />

for the use of the available environmental<br />

resources which can be made own by the<br />

citizens who live there and by the organizations<br />

which represent them. The wide area territorial<br />

planning (i.e., be it a region or a district) remains<br />

one of the few “points of view” from which the<br />

problem to manage the change in a socially and<br />

environmentally sustainable way can be seized<br />

and treated at certain conditions:


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 1-8, 2011<br />

1. to re-anounce the technocratic attitude for<br />

defining the optimum in favour of the<br />

construction of various open alternatives on<br />

which to confront with all the interested<br />

subjects.<br />

2. that the method of comparison between the<br />

alternatives and their consequences at a system<br />

level be actually done also by the sectorial<br />

policies promoted by the municipal or districtual<br />

authorities, utilizing for such purposes the most<br />

common cognitive resources and the specific<br />

instruments of the planning itself.<br />

3. That new representation and communication<br />

forms be experimented for the territorial<br />

consequences of what agreed between social,<br />

economical and institutional actors.<br />

4. that there must be full consciousness by all the<br />

participants that the planning is a continuous,<br />

fatiguing and complex process; the plan is a<br />

contract which the actors, present on a certain<br />

territory, undertake for its transformation; once<br />

concluded it is indispensable to start to think and<br />

to build the future forms of new contracts which<br />

will rule what not foreseen or not foreseeable up<br />

to that moment, that will improve the<br />

representation of the interests which are<br />

considered excluded; which will include new<br />

knowledge.<br />

The planning process is certainly more<br />

important than the plan, but the existence of a<br />

plan changes the process, because it requires a<br />

firm and clear political projectuality, its potential<br />

contribute to the setting up for a better agenda of<br />

the regional policies (i.e., well as of their<br />

comprehensive coherent direction) is very<br />

important.<br />

The form that the territorial plan assumes in<br />

taking into account the exigencies and the<br />

perspectives up to now recalled is the following:<br />

A strategic reference scenario for the whole<br />

territory denotes the local identities 3 and it<br />

indicates the desirable development lines.<br />

To the indication of a series of strategic projects<br />

in actuation of the plan, with the concourse of<br />

the other bodies, is assigned the task of<br />

deepening the possible solutions and the<br />

feasibility conditions for what it concerns<br />

“emergency” problems.<br />

A ruling system which introduces innovative<br />

agreements procedures, limits the rules, recalls<br />

the directives, foresees the municipalities’<br />

involvement in the management of protected<br />

areas as well as in other matters of over-local<br />

interest.<br />

The general target that the plan assumes is<br />

the reaching of an environmental and social<br />

sustainability 4 for the whole territory, that is to<br />

say forms of development which are able to<br />

safeguard and increase the natural and social<br />

resources and the area’s specific identities and<br />

by the thrust of a cooperative 5 approach.<br />

From control to self-control: the choice is that<br />

to promote, in lieu of the control and of the tie,<br />

new agreements instruments such as forms of<br />

self-control between local subjects in the<br />

decision moment (Magnani, A. 2000). It is what<br />

today goes under the name of “governance”: the<br />

government of the cooperative and conflictual<br />

interactions between the actors who act in the<br />

territory and who transform it, instead of the<br />

direct government of the territory’s small single<br />

pieces.<br />

The effort is that to define the reciprocal<br />

autonomies (amongst the various authorities),<br />

adapted into a normative system which strongly<br />

limits the rules; as a support to projectuality<br />

forms on general matters, also with the scope to<br />

build projects capable to acquire external<br />

resources.<br />

THE PLAN APPROACH TO THE<br />

TERRITORIAL PROBLEMS<br />

Within the negotial procedure the strategic<br />

and ruling functions explicate territorial effects<br />

(transformation, explotation, conservation,<br />

protection etc), not directly but through<br />

collective local subjects. In order that this<br />

happens it is necessary that such subjects might<br />

act as collective actors on territorial basis, i.e. as<br />

territorial local systems 6 . With this expression<br />

are intended public and private subject's local<br />

aggregations (or “nets”) able to organize them<br />

and to organize their own territory to interact<br />

with external subjects and thus realizing<br />

common shared projects.<br />

The negotial process with the local collective<br />

subjects must therefore be seen both as an<br />

operational and latent identities “hearing” phase<br />

and as operational identities construction<br />

moments (Porter M., 1987), around over-local<br />

scale territorial projects. In such a way the plan’s<br />

promotion and planning role is explicated. It<br />

goes into effect through “knot” (“set up” of the<br />

local systems) and net policies (connection of<br />

more local systems around over-local projects).<br />

Under this point of view the local systems (and<br />

therefore also the local identities with the above<br />

3


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 1-8, 2011<br />

mentioned meaning) implies inter-municipal<br />

relations as well as with local sectorial bodies.<br />

In order to talk of “local territorial system” it<br />

is necessary that certain public and private<br />

subjects selfrepresent themselves in a projectual<br />

perspective, as “local subjects’ nets” with<br />

interface functions between the local milieu<br />

resources and over-local subjects’ nets. It is<br />

necessary therefore that the horizontal ties,<br />

which ensure the territorial system’s internal<br />

cohesion, derive, at least in part, from the<br />

relations that the subjects who compose it have<br />

with the local, specific milieu, meaning a natural<br />

and historic-cultural conditions’ stable and<br />

localized whole, seen as possible development<br />

projects and local territorial re-qualification<br />

possible “intakes”.<br />

Under this perspective the plan places itself<br />

towards the “local systems”, as claimed by<br />

Castells (1977), its directions and rules must<br />

translate into local projects and actions (of<br />

“knot”, of “net”) by the actors who constitute it<br />

in order to obtain the desired territorial effects.<br />

The teritory’s useful knowledge for the plan<br />

is of political-operational type rather than<br />

technical-operational. The political-operational<br />

territorial knowledge concerns the identification<br />

of the local systems and of the actors (and more<br />

in general the subjects) who composes them;<br />

their relations with the territory; the specific<br />

rationalities which rule such relations and thus<br />

the local organizative principles of said<br />

territories.<br />

Starting from these considerations, such<br />

knowledge can start from objective analysises<br />

and above all from a reasoned inventory of the<br />

projects promoted at sub-district level by the<br />

various public and private subjects, but if forms<br />

itself, above all, through the negotial interaction<br />

with the local systems and it builds itself in the<br />

territorial plan’s fullfilment. However this<br />

doesn’t prevent to define a map of these<br />

differents, possible aggregations which is also a<br />

map of the local identities and the basis for the<br />

identities and the “statutes of the places”<br />

definition.<br />

The local identity, in a plan’s perspective,<br />

cannot base itself only on a “passive sense of<br />

belonging”, founded on the territory’s<br />

aesthetical-symbolic characters, but a resource to<br />

be exploited.<br />

This resource derives from the local subjects’<br />

capacity to connect between them, to selforganize<br />

themselves in order to evidence their<br />

territory’s resources in the interaction with<br />

4<br />

external subjects (Dematteis, 1997). Without a<br />

common project of such a type there is not an<br />

active, operative local identity. In this sense it<br />

can be said that the territorial Plan not only<br />

utilizes the collective, local identities as a<br />

passive resource, but also operates to build them,<br />

to let them pass from a latent and potential state<br />

to a real and operational one.<br />

PLAN ORGANIZATION THROUGH<br />

ACTIONS AND PROJECTS<br />

This plan form emphasizes its procedural<br />

aspects in a double direction, activating through<br />

the projects, the local institutions, and in<br />

proposing the indication of a series of real<br />

projects of priority importance. In this way the<br />

plan “concludes” itself with the start of a<br />

complex actions procedure which, for each<br />

project, activates a system of local and overlocal<br />

pertinent actors.<br />

The Plan, therefore, starts actually with its<br />

formal conclusion, supplying, beside the<br />

strategic scenario of reference and the<br />

accomplishment rules, the indication of a series<br />

of specific projects prominent for its<br />

achievement, comprehsensive of the local actors<br />

and the extra-local institutional and financial<br />

contributions which are needed for their<br />

realization.<br />

In this way the plan obtains a procedural<br />

continuity which allows to verify the strategic<br />

scenario during the course of the projects’<br />

fullfilment and if the case to correct it. Each<br />

project has an ideal reference area (variable<br />

geometry) and an internal and external actors’<br />

system.<br />

The strategic value project is generally a<br />

project with multidisciplinary and multisectorial<br />

integrated character (Haley P. 1997), in which<br />

great relevance is given to the virtuous synergies<br />

between sectorial actions; this implies the<br />

overcoming of the sector planning and a great<br />

will to cooperate by the assessorships (at<br />

regional level, but also at districtual and<br />

municipal one) to create ad-hoc inter-assessorial<br />

coordinations for each project’s formulation and<br />

management.<br />

In order to make easier the verification<br />

procedure for the single, new actions, but also to<br />

help the construction of a dynamic stragetic<br />

scenario and sustainable in its widest meaning, it<br />

is fundamental the use and the improvement of a<br />

“polyvalent evaluation model”, a kind of


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 1-8, 2011<br />

“metaproject” amongst the proposed strategic<br />

projects.<br />

The construction and the use of a polyvalent<br />

evaluation model go towards the direction to<br />

conceive the strategic planning process as an<br />

intelligent guide of sectorial and precise actions<br />

being already operational, be them policies or<br />

works: evidencing and exploiting the positive<br />

energies existing in the territory. In any case it is<br />

thus necessary a cognitive apparatus (a record of<br />

the projects and of the actions being carried out<br />

in the project’s area, be it institutional or not)<br />

which could allow the evaluation and, case by<br />

case, exploitation, correction, integration<br />

(Piroddi E., 1999).<br />

The target is that of selecting projects and<br />

policies which might contribute to the increase<br />

of the territorial and environmental quality. If<br />

the development sustainability depends from the<br />

equilibrium and the synergies between<br />

economical, territorial, environmental and social<br />

transformations, to increase the territorial<br />

patrimony, it is just on the inter-sectorial<br />

relations that the single actions’ coherence must<br />

be searched. The construction of a polyvalent<br />

evaluation model of policies, plans and projects<br />

referred to each strategic project area constitutes<br />

a prominent element of the proposed planning<br />

methodology. In this picture the evaluation<br />

which means to attribute to a project or to a plan<br />

quality or criticity characteritsics becomes<br />

intrisecally tied to the decision and projectual<br />

action, making explicit and verifiable the<br />

projectual choices towards the local territorial<br />

impact optimization criteria.<br />

THE PROSPECT OF THE PLAN IN<br />

LOCAL DEVELOPMENT<br />

It is typically a planning activity of integrated<br />

type, in the sense that it points to exploit the<br />

effects that derive from putting in a net different<br />

sector's policies and interventions demand<br />

crucial (Mazza L., 1977). It is a creative process,<br />

in which each involved subject, bearer of a<br />

specific definition of the problems, of the<br />

priority and the development necessity,<br />

contributes to elaborate the basic orientation and<br />

the missions of the community. In this sense it<br />

intends to activate – and this constitutes perhaps<br />

its most important result – an actors’ selfreflection<br />

process (Forester J. 1989, Porter<br />

M.1987) about the future of a territory.<br />

The plan has therefore, as aim, the<br />

construction of a document which can<br />

individuate the problems, the opportunities, a<br />

territory’s development targets 7 and scenarios.<br />

Certainly the plan takes the territory as its’<br />

application field (Mazza L., 1997), but it looks<br />

towards the town as the possible policies’ space<br />

and therefore from time to time its reference<br />

changes. It can be a specific dimension because<br />

it is recognized by the local actors as worth of<br />

particular attention (requalification of the<br />

historical town) or in a wider sphere, referred to<br />

the different development geographies (the role<br />

of the town in a territorial context).<br />

The plan reference territory therefore is not a<br />

data but a sequence (construction), it depends<br />

from the places toward which the actors’<br />

attention is drawn and from the level at which<br />

the questions that they put can be treated.<br />

In order to respond to the challenges that the<br />

future delineates it is necessary to take into<br />

consideration some principles.<br />

1.The first principle refers to the assumption of a<br />

pragmatic approach, which doesn’t wait the<br />

completion of a comprehesive project to be able<br />

to operate, but which starts to work in the sense<br />

of the anticipation of that general project.<br />

Between comprehensive project and details<br />

choices it is necessary to establish a co-evolution<br />

connection, in the sense that the second<br />

contribute to define the first but that from this<br />

they are also conditioned.<br />

Let’s take the case of the historical town. It<br />

deals with a town’s area that seems to require the<br />

activation of a regeneration complex policy (that<br />

is to say made of different interventions and<br />

integrated between them) which can’t wait the<br />

conclusion of the general variant’s iter<br />

to be started, but that, instead, can supply to<br />

the General Town Plan interesting test elements<br />

and, more in general, useful indications to the<br />

urban policies on how to plan multidimensional<br />

interventions. The strategic plan intends to<br />

consider the pragmatic approach as its own<br />

orientation principle, indicating those actions<br />

which can be immediately started or that it is<br />

necessary to discuss for their relevance.<br />

2. The second principle is that of subsidiarity, as<br />

the modality to define the relations between the<br />

institutional subjects and, more in general,<br />

between the public policies’ actors. The<br />

subsidiarity concerns the appointment of<br />

competences towards those subjects who are the<br />

nearest to the treatment of the problems (be<br />

these public or private) and therefore an<br />

assumption of responsibility by them.<br />

5


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 1-8, 2011<br />

It deals with a principle already acquired,<br />

both in the administration’s theory and in the<br />

real practices. It implies the substitution of the<br />

hierarchic principle tending to cooperation. It<br />

consists in an approach which has to permeate<br />

the activity of the whole public administration,<br />

but in which it is possible to indicate the<br />

testing’s priority fields, those policies or those<br />

interventions on which to start working in this<br />

sense.<br />

Again the governing of the wide area<br />

relations seems one of the more pertinent, as<br />

well as the policies for the development’s<br />

promotion and the same cultural policies. In fact<br />

it deals with work situations which put at play<br />

actors’ pluralities, of different nature and placed<br />

at different decisional levels, in which it is<br />

crucial, the capacity to govern complex<br />

decisional organizations, both vertical and<br />

horizontal.<br />

3. The third principle – tied to the preceeding<br />

one – is the “public role requalification” that<br />

today must be able above all to develop a<br />

coordinating function, of projectuality<br />

promotion, of local resources’ activation. In fact<br />

the subsidiarity horizon doesn’t imply the public<br />

subject withdrawal, but a deep change of its<br />

action’s characters. What the “public role<br />

requalification” principle suggests is to certainly<br />

walk a step behind towards the “direct intake”<br />

relation with the society and its problems, but<br />

also being potentially able to overcome the<br />

reductive administrative logics and to invest the<br />

own resources efficicaciously.<br />

4. The fourth principle doesn’t refer on how to<br />

do things but rather to what to do. It is the<br />

principle of the research of the “urbanity” meant<br />

as town’s character to preserve and to<br />

consolidate. As “urbanity” we mean the<br />

compresence of different uses and functions in<br />

the town (starting from the historic town), the<br />

accessibility to all the services which are offered<br />

by the territory, the strenghtening of the ties<br />

between the parts as guarantee of the territory’s<br />

general good operation.<br />

6<br />

CONCLUSION<br />

The proposed approach to the planning<br />

process, of which the plan’s design constitutes<br />

and intermediate and temporary phase, intends to<br />

contribute to the debate addressed to the<br />

planning role and to its working instruments in<br />

the local development. In this debate, also under<br />

the perspective of the federalism’s reform in a<br />

local context, a whole of widely shared<br />

principles is compared:<br />

1. The principle of development sustainability<br />

must be intended in its widest meaning of<br />

political, social and cultural sustainability, of<br />

economical self-sustainability and territorial<br />

exploitation.<br />

2. The principle of subsidiarity and of<br />

responsibilization which implies not only an<br />

actual strengthening of the local powers and a<br />

direct involvement of the local actors in the<br />

choices which may concern them, but also a<br />

more coherent and transparent distribution of the<br />

government and management responsibilities, on<br />

all levels and on all sectors.<br />

3. The principle of solidarity, of cohesion and of<br />

inclusion which obliges to a continuous<br />

comparison between specific or local issues and<br />

general interests, between competitive reasons<br />

and cooperative exigencies.<br />

Such principles push, jointly, towards a deep<br />

renewal of the methods, of the approaches and of<br />

the same planning conceptions, putting into<br />

growing evidence the exigency of the dialogue<br />

and of the cooperation between the various<br />

insititutional subjects and the social actors<br />

involved in the territorial changes.<br />

In this research worker, the base of the<br />

analytic approach is constituted by the<br />

individualization of the following “innovation<br />

points”:<br />

a. new forms of the plan: that is to say the<br />

elaboration of new town planning instruments<br />

(new plans, contents and targets construction<br />

modalities, new structures of the rules’ system);<br />

definition and utilization of the concepts of<br />

equalization, compensation, sustainable<br />

development, dimensioning, compensative<br />

acquisition, from whose correct development<br />

depends the possible solutions of town<br />

planning’s historical knots.<br />

b. programmatic instruments for the socialecomomic<br />

development: the predisposition of<br />

plans and strategic documents for the local<br />

development;<br />

c. complex programs: the testing of the<br />

procedures of the “urban project” and of the<br />

“integrated programs” as overcoming of the<br />

traditional forms of the town planning<br />

instrument’s actuation; the relation with the new<br />

form of the town planning instruments and with<br />

the programmatic means for the socio-ecomomic<br />

development.<br />

The necessity of a cooperative approach to<br />

the territory’s management and planning is


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 1-8, 2011<br />

particularly emphasized, in our case, by the<br />

actual situation of a territory involved in<br />

considerable globalization processes. In this<br />

perspective the planning process cannot exhaust<br />

itself in the attempt to coordinate the<br />

municipalities institutional action, since an<br />

authentic cooperation must base itself on the<br />

self-government of the local realities and thus on<br />

the social actors’ permanent agreeement.<br />

This implies the attempt to let grow the<br />

territorial sujectivity in view of the exploitation<br />

of the local systems and of the territorial<br />

identity.<br />

For this aim it is necessary that the<br />

affirmation of the collective subjectivities, which<br />

has somehow already expressed itself with the<br />

adhesion of a pluraility of actors, institutional or<br />

not, might turn into a shared projectual<br />

engagement which can express its selforganizing<br />

capacity with actions proposal which<br />

have to respond to the local expectations and<br />

interests.<br />

The indication to articulate the plan process<br />

strenghtening the local decision systems goes<br />

towards the direction in which the local<br />

initiatives have the aim to strenghten the<br />

autonomous capacity of a specific area to look<br />

for its own development system. In specific, the<br />

plan indications identified as follows:<br />

a- It supplies specific knowlegde because it<br />

thematizes and visualizes facts and problems at<br />

systemic aggregation level which often slips<br />

away from the attention of the aforesaid<br />

interlocutors;<br />

b- It suggests to their problems possible<br />

alternative solutions, solutions which just derive<br />

from the capacity to see and to think the territory<br />

on a different scale and in any case more<br />

complex, to point out the problems in terms not<br />

purely quantitative, to seize the possible<br />

synergies with other subjects’ action, etc etc.<br />

In such a way it is built an environment<br />

favourable to the development starting from<br />

each territory’s peculiarities and wealths, in the<br />

global competition age are evidenced the<br />

advantages of territorial guideline which,<br />

engaging the typical resources aims at the<br />

quality and difference of the offer of products<br />

and services.<br />

Notes<br />

1. The territorial plan, meant as scientific<br />

definition moment, neutral, ofan ideal territory<br />

organization within a clear and firm context for<br />

the distribution of the administrative, financial<br />

and political resources amongst the various<br />

government’s levels, formulates ideal<br />

hypotheses from the point of view of the whole<br />

rationality of the territory’s use. Therefore “no”<br />

to the homologation, but research and promotion<br />

of integration chances based on the exploitation<br />

of a territory’s differences.<br />

2. It must be rather thought in local systems net<br />

terms (Magnani A. 2000, Ratti R. 1997) which,<br />

coordinating and netting by themselves, create<br />

synergies, that is to say they increase the whole<br />

wealth, not only economical but also social and<br />

cultural, at disposal of an area that is subject to<br />

this insitutional competence of the Region.<br />

According to Dematteis (1995,46) the local<br />

development is always the combination of<br />

something which is fixed with something which<br />

is mobile: the potential specific resources of a<br />

territory with the overlocal nets.<br />

This gives space, anyway, on the territory, to<br />

various development relations, that is to say to<br />

different types of combinations between global<br />

nets, local nets and territory’s resources. There<br />

are architectures which have a major<br />

endogenous component, thus a more or less<br />

strong local identity is noticed (identity meant as<br />

selforganizing capacity, that is to say as specific<br />

principles of local organization). Ther are those<br />

which, instead, strongly depend from<br />

organizations, from overlocal nets.<br />

3. The local identity is meant as a resource, from<br />

the economic point of view, as the territory’s<br />

competitive advantage, from the social and<br />

political point of view (that is to say the<br />

autonomy of the “local”) and from the cultural<br />

point of view, as cultural variety, of a specific<br />

territory (Poli D. 1998, Magnaghi A. 2005 .<br />

4. In a globalization and growing competition<br />

age to promote the sustainability means before<br />

all to strenghten local identities and peculiarities<br />

(Rullani E.1994), indispensable values to be able<br />

to place oneself on the market offering products<br />

improbably subject to world competition. To<br />

build “local systems” is indispensable to<br />

compete with continuity against the economic<br />

trends’s changes.<br />

5. The necessity of a cooperative approach to the<br />

territory’s managemnent and planning is<br />

particularly emphasized by the actual situation<br />

of a territory involved in important globalization<br />

processes (Dematteis G. 1995) .<br />

6. Quoted in Dematteis (1997), these are public<br />

and private local subjects’ self-governing forms.<br />

These local self-governing forms are those who<br />

allows the mobilization od endogenous<br />

7


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 1-8, 2011<br />

resources, proper of these territories, which<br />

otherwise couldn’t be utilized and that feed a<br />

circular accumulation process of new resources<br />

on the territory through positive competitions,<br />

that is to say competitions through which new<br />

resources and new externalities are created.<br />

7. They represents the local specificity meant as<br />

a resource (Castells, M. 1997) which can be<br />

exploited for its greatest part, only through the<br />

negotiation of the local actors who start that<br />

cumulative, circular process which is the local<br />

development and which allows, on the economic<br />

ground, to transform these potential resources in<br />

values which can be exported, to attract external<br />

human and cognitive resources; capitals and<br />

ivestments for these resources’ exploitation.<br />

REFERENCES<br />

- Becattini G., Rullani E. (1994), “Sistema locale e mercato<br />

globale”, in Becattini G., Vaccà S., Prospettive<br />

degli studi di economia e politica industriale in<br />

Italia, Franco Angeli - Milano.<br />

- Bramanti A., Maggioni M.A. (1997), La dinamica dei<br />

sistemi produttivi territoriali: teorie, tecniche,<br />

politiche, Franco Angeli - Milano.<br />

- Bramanti A., Senn L.( 1997),“ Cambiamento strutturale,<br />

connessioni locali e governance nei sistemi<br />

produttivi territoriali”, La dinamica dei sistemi<br />

produttivi territoriali: teorie, tecniche, politiche,<br />

Franco Angeli - Milano.<br />

- Castells, M., (1997),The Power of Identità, Oxford,<br />

Blackwell, publishers Ltd.<br />

- Castells M., (1997),The Rise of the Network Society,<br />

Oxford, Blackwell Publishers Ltd.<br />

- Dematteis G., (1997), "Le città come nodi di reti: la<br />

transizione urbana in una prospettiva spaziale", in<br />

G. Dematteis e P. Bonavero, Il sistema urbano<br />

italiano nello spazio unificato europeo, Bologna, Il<br />

Mulino, pp. 15-35.<br />

- Dematteis G., (1995), "Sistemi locali e reti globali: il<br />

problema del radicamento territoriale", Archivio di<br />

studi urbani e regionali, v.24, n.53, pp.39-52.<br />

- Forester J., (1989), Planning in the Face of Power , The<br />

Regents of the University of California.<br />

Grandinetti R., Rullani E.( 1996), Impresa transnazionale<br />

ed economia globale, La Nuova Italia Scientifica -<br />

Roma.<br />

- Haley P., (1997), Collaborative Planning, London Mac<br />

Millan .<br />

- Harvey D., (1997), The condition of<br />

Postmodernity,Basil,1990 Magnani A.( 2000), Il<br />

progetto locale, Torino, Bollati Boringieri.<br />

- Magnaghi A. (2005), La rappresentazione identitaria del<br />

territorio: atlanti, codici, figure, paradigmi per il<br />

progetto locale, Alinea, Firenze Maskell P. ,<br />

Malberg A.( 1997),“Apprendimento localizzato e<br />

competitività industriale”, La dinamica dei sistemi<br />

8<br />

produttivi territoriali: teorie, tecniche, politiche,<br />

Franco Angeli - Milano.<br />

- Mazza L., (1997), Trasformazione del piano, Franco<br />

Angeli, Milano<br />

- Perulli P., (2000), La città delle reti, Torino, Bollati<br />

Boringhieri.<br />

- Piroddi E., (1999), Le forme del piano urbanistico,<br />

Milano, Franco Angeli.<br />

- Poli D., (1998), Il territorio fra identità e<br />

rappresentazione. Progetto del luogo come<br />

biografia territoriale, Tesi di Dottorato in<br />

Progettazione urbana, territoriale e ambientale,<br />

Università di Firenze, IX ciclo,<br />

- Porter M., (1980), Competitive Strategy, New York.<br />

- Porter M.( 1985), Competitive Advantage - New York.<br />

- Porter M.( 1987), Competizione globale, ISEDI - Torino.<br />

- Porter M.( 1987), The competitive Advantage of Nations -<br />

New York.<br />

- Prisco M.R., Silvani A.(1997), La misurazione del<br />

capitale umano nelle politiche tecnologiche:<br />

l'esperienza delle aree meno favorite, in Bramanti<br />

A. , Maggioni<br />

- Rabellotti R.( 1997), External Economies and<br />

Cooperation in Industrial Districts,Mac Millan<br />

press ltd, Houndmills,<br />

- Ratti R.( 1997),“Lo spazio attivo: una risposta<br />

paradigmatica al dibattito locale-globale”, La<br />

dinamica dei sistemi produttivi territoriali: teorie,<br />

tecniche, politiche, Franco Angeli - Milano.<br />

- Rullani E.( 1994), “Sistema locale e mercato globale: una<br />

risposta”, in Becattini G., Vaccà S., Prospettive<br />

degli studi di economia e politica industriale in<br />

Italia, Franco Angeli - Milano.<br />

- Rullani E.( 1997), “Più locale e più globale: verso<br />

un’economia postfordista del territorio”, La<br />

dinamica dei sistemi produttivi territoriali: teorie,<br />

tecniche, politiche, Franco Angeli - Milano.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 9-16, 2011<br />

ON CP-OPEN SETS AND TWO CLASSES OF FUNCTIONS<br />

ALIAS B. KHALAF * and SHILAN A. MOHAMMAD **<br />

* Dept. of Math., Faculty of Science, University of Duhok, Kurdistan Region-Iraq<br />

** Dept. of Math., Faculty of Science, University of Zakho, Kurdistan Region-Iraq<br />

(Received: October 1, 2009; Accepted for publication: November 3, 2010)<br />

ABSTRACT<br />

In this paper we introduce the concept of cp-open set and study some of its properties. Further we introduce the<br />

cp-continuous and cp-open functions and investigate the basic propertied. Necessary and sufficient condition of P1 -<br />

closed graph and cp-continuous function were found.<br />

KEYWORDS: c-open set, cp-open set, cp-continuous and cp-open functions, P1 -closed graph.<br />

T<br />

1. INTRODUCTION AND<br />

PRELIMINARIES<br />

hroughout the present paper, X and Y<br />

denote topological spaces in which no<br />

separation axiom is assumed. Let A be a subset<br />

of X, we denote the interior and the closure of a<br />

set A by int(A) and cl(A) respectively. A subset<br />

A is said to be preopen [10] (resp. semi open[7])<br />

set if A � intcl(A)( resp. A � clint(A)). The<br />

complement of a preopen set is called preclosed.<br />

The intersection of all preclosed sets containing<br />

A is called the preclosure of A and is denoted by<br />

pcl(A). The preinterior of A is defined as the<br />

union of all preopen sets contained in A and is<br />

denoted by pint(A). The family of all preopen<br />

sets of X is denoted by PO(X) and the set of all<br />

preopen set containing x�X is denoted by<br />

PO(X, x). The union of any family of preopen<br />

sets is preopen. A subset N of X is<br />

preneighbourhood[12] of a point x of X if there<br />

exists a preopen set U containing x with U � N<br />

and it is denoted by N p (x).<br />

As stated by Mashhour et al.[10], Katetov<br />

made some comments on the paper [9] to find<br />

conditions under which the intersection of any<br />

two preopen sets is preopen.<br />

Mashhour together with others offered an<br />

answer to this remark in the form of a<br />

theorem[10, Theorem 2.3].<br />

Definition 1.1[16]. A space (X, � ) will be said<br />

to have the property P if the closure is preserved<br />

under finite intersection or equivalently, if the<br />

closure of intersection of any two subsets equals<br />

the intersection of their closures.<br />

Lemma 1.2[16]. From the above definition it<br />

readily follows that if a space X has the property<br />

P, then the intersection of any two preopen sets<br />

is preopen. As a consequence of this PO(X) is a<br />

topology for X and it is finer than � .<br />

Lemma 1.3[4]. Let A and X 0 be subsets of a<br />

space X. If A�PO(X) and X 0 is semi open in X,<br />

then A � X 0 �PO(X 0 ),<br />

Lemma 1.4[2]. If A � Y � X and Y is a preopen<br />

set in X, then A�PO(X) if and only if<br />

A�PO(Y).<br />

Definition 1.5. A function f : X �Y is called:<br />

1- preirresolute[15] if f<br />

� 1<br />

(V)�PO(X) for each<br />

preopen set V of Y.<br />

2- M-preopen[16] if the image of every preopen<br />

set in X is a preopen set in Y,<br />

3- M-preclosd[13] if the image of every<br />

preclosed set in X is a preclosed set in Y.<br />

Definition 1.6[1]. Let f :X � Y be any<br />

function, the graph of the function f is denoted<br />

by G( f ) and is said to be P1 -closed if for each<br />

(x, y)�G( f ), there exist U�PO(X,x) and<br />

V�PO(Y,y) with (U� V) � G( f )= � .<br />

We proved if the graph of f is P1 -closed<br />

and X has the property P, then the inverse image<br />

of a strongly compact subset in Y is preclosed<br />

set in X.<br />

Definition 1.7[4]. A space X is said to be<br />

submaximal if every dense subset of X is open.<br />

Lemma 1.8[4]. A space X is submaximal if and<br />

only if every preopen set is open.<br />

Definition 1.9. A space X is:<br />

1- pre- T 1 [11] if for every distinct points x, y of<br />

X, there exists U�PO(X, x) not containing y<br />

and V� PO(X, y) not containing x,<br />

2- T 2 [17](resp. pre- T 2 [11]) if for every distinct<br />

points x, y of X, there exist two disjoint<br />

open(resp. preopen) sets each containing one of<br />

them,<br />

9


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 9-16, 2011<br />

3- prenormal[13] if each pair of disjoint<br />

preclosed sets of X there exist disjoint preopen<br />

sets each containing one of them,<br />

4- p-regular[15] if for each closed set F and each<br />

point x�F, there exist disjoint preopen sets U<br />

and V such that x�U and F � V,<br />

5- strongly compact[5] if every preopen cover<br />

has a finite subcover,<br />

6- Locally p-compact[8] if for every element of<br />

X, there exists an open set containing them<br />

which is strongly compact of X.<br />

Lemma 1.10[5]. Every preclosed subset of a<br />

strongly compact space is strongly compact. The<br />

following definition appeared in [3] and [6].<br />

Definition 1.11. A subset A of a space X is said<br />

to be a c-open set if A is an open set and X\A is<br />

compact.<br />

10<br />

2. SOME PROPERTIES OF<br />

CP-OPEN SETS<br />

Definition 2.1. A subset A of a space X is said to be a<br />

cp-open set if A is a preopen set and X\A is<br />

strongly compact. The complement of a cp-open<br />

set is said to be a cp-closed set. The family of<br />

all cp-open (resp. cp-closed) sets is denoted by<br />

CPO(X)(resp. CPC(X)) .<br />

The class of c-open and cp-open sets is not<br />

comparable as shown in the following two<br />

examples:<br />

Example 2.2. Let X={a, b, c} with � ={ � , X,<br />

{a}}, then {a, b} is a cp-open set, but it is not a<br />

c-open set.<br />

Example 2.3. (- � , 0) � (1, � ) is a c-open set,<br />

but it is not a cp-open set.<br />

Theorem 2.4. If a space X is submaximal, then<br />

the family of c-open and cp-open sets are<br />

equivalent.<br />

Proof. It is obvious from Lemma 1.8.<br />

Lemma 2.5. The union of any family of cp-open<br />

sets is a cp-open set.<br />

Proof. Let { U � : � ��<br />

} be any family of cpopen<br />

set, since � U � is a preopen set and<br />

X\ � U � = � X\ U � for each � ��<br />

, by Lemma<br />

1.10, it is strongly compact. Hence { U � : � ��<br />

}<br />

is cp-open set.<br />

The intersection of two cp-open sets need not<br />

be cp-open as seen by the following example:<br />

Example 2.6. Let X={a, b, c} with topology<br />

� ={ � , X, {a, b}}, then {a, c} and {b, c} are two<br />

cp-open sets in X , but {a, c} � {b, c}={c} is not<br />

cp-open set.<br />

From the above example we notice that the<br />

family of all cp-open sets need not be a topology<br />

on X.<br />

Theorem 2.7. If a space X has the property P,<br />

then cp-open sets is a topology on X.<br />

Proof. Since X has the property P, then by<br />

Lemma 1.2, the intersection of any two preopen<br />

sets is preopen and union two strongly compact<br />

is strongly compact. Therefore, the intersection<br />

of any two cp-open sets is cp-open. It follows<br />

that cp-open sets is a topology on X.<br />

It is clear that if a space X is finite, then the<br />

family of cp-open sets and preopen sets are<br />

coincident.<br />

Definition 2.8. A subset N of a space X is cpneighborhood<br />

of a point x, if N contains a cpopen<br />

set which is containing x and it is denoted<br />

by N cp (x).<br />

Theorem 2.9. Let (X, � ) be any topological<br />

space, and A is any subset of X. A is cp-open set<br />

if and only if for every x in X there exists a cp-<br />

G � A.<br />

open set x<br />

G such that x� x<br />

Prood. Let a subset A of X be a cp-open set<br />

containing x, then x�A � A.<br />

Conversely. Let A be any subset of X and<br />

assume that there exists a cp-open set G x<br />

containing x such that x� G x � A. Hence<br />

A= � { x<br />

G : x�A}, so by Lemma 2.5, A is cpopen<br />

set.<br />

Corollary 2.10. Let A be a subset of a space X.<br />

A is cp-open set if and only if it is cpneighborhood<br />

of each of its points.<br />

Definition 2.11. A point x�X is said to be a cpinterior<br />

point of A if there exists a cp-open set U<br />

containing x such that U � A. The set of all cpinterior<br />

points of A is said to be cp-interior of A<br />

and denoted by cp-int(A).<br />

Here we give some properties of cp-interior<br />

operator on a set<br />

Proposition 2.12. For any subset A and B of a<br />

topological space X. The following statements<br />

are true:<br />

1.The cp-interior of A is the union of all cp-open<br />

sets which are contained in A,<br />

2.cp-int(A) is cp-open set contained in A,<br />

3.cp-int(A) is the largest cp-open set contained<br />

in A,<br />

4.A is cp-open set if and only if cp-int(A)=A, it<br />

follows that cp-int(cp-int(A))=cp-int(A),<br />

5.cp-int(A) � A,<br />

6.If A � B, then cp-int(A) � cp-int(B),<br />

7.cp-int(A) � cp-int(B) � cp-int(A � B),<br />

8.cp-int(A � B) � cp-int(A) � cp-int(B).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 9-16, 2011<br />

We only prove part(3), the proof of the other<br />

parts is obvious.<br />

Proof.(3). Let G be any cp-open set in X<br />

containing x, by Corollary 2.10,A is a cpneighborhood<br />

of x, this shows that x is a cpinterior<br />

of A. Hence x�cp-int(A), so x�G � cpint(A)<br />

� A. We get cp-int(A) contains all cpopen<br />

subset of A and it is therefore, the largest<br />

cp-open subset of A.<br />

In general cp-int(A) � cp-int(B) � cpint(A<br />

� B), and cp-int(A � B) � cp-int (A) � cpint(B)<br />

as shown by the following two examples:<br />

Example 2.13. Let X={a, b, c, d} with topology<br />

� ={ � , X, {c}, {a, d}, {a, c, d}} Take A={a, d}<br />

and B={b, c}. cp-int(A � B)=X cp-int(A)={a,<br />

d}and cp-int(B)={c}, so cp-int(A) � cpint(B)<br />

� cp-int(A � B)<br />

Example 2.14. Let X={a, b, c, d} and � = { � ,<br />

X,{a, b}, {a, b, c}}. Take A={b, c} and B={a, c,<br />

d}, then A � B={c}, cp-int(A � B)= � but cpint(A)={b,<br />

c} and cp-int(B)={a, c, d}. So cpint(A)<br />

� cp-int(B)={b} and hence cp-int(A � B)<br />

� cp-int(A) � cp-int(B) .<br />

It follows that, cp-int (A)=cp-int(B) does not<br />

imply that A=B. This is shown by Example 4.9<br />

in [12].<br />

Definition 2.15. Let A be a subset of a<br />

topological space(X, � ). A point x�X is said to<br />

be a cp-limit point of A if every cp-open set<br />

containing x contains a point of A different from<br />

x. The set of all cp-limit points of A is called cpderived<br />

set and denoted by cp-d(A).<br />

Lemma 2.16. Let A be a subset of a topological<br />

space (X, � ). A is cp-closed if and only if A<br />

contains all of its cp-limit points.<br />

Proof. Assume that A is cp-closed set and let p<br />

is a cp-limit point of A which belongs to X\A.<br />

Then X\A is a cp-open set containing the cplimit<br />

point of A. Therefore, we get X\A contains<br />

an element of A which is contradiction.<br />

Conversely. Assume that A contains all of its<br />

cp-limit points. For each x�X\A there exists a<br />

cp-open set U containing x such that U � A= � ,<br />

that is, x�U � X\A, by Theorem 2.9, X\A is a<br />

cp-open set. Hence A is a cp-closed set.<br />

Some properties of cp-derived set are<br />

mentioned in the following results:<br />

Proposition 2.17. For any subsets A and B of a<br />

topological space X, then we have the following<br />

properties.<br />

1. If A � B, then cp-d(A) � cp-d(B),<br />

2. x�cp-d(A) implies x�cp-d(X\A),<br />

3.cp-d(A) � cp-d(B) � cp-d(A � B),<br />

4.cp-d(A � B) � cp-d(A) � cp-d(B).<br />

Proof. (3) and (4) follow from (1).<br />

The equality does not hold in (3) and (4) as<br />

shown by Examples 4.12 and 4.13 in [12].<br />

Definition 2.18. The intersection of all cp-closed<br />

sets containing A is called the cp-closure of A<br />

and it is denoted by cp-cl(A).<br />

Here we give some properties of cp-closure<br />

of the set.<br />

Proposition 2.19. For any subset E and F of a<br />

topological space X. The following statements<br />

are true.<br />

1. E� cp-cl(E),<br />

2. cp-cl(E) is cp-closed set in X containing E,<br />

3. cp-cl(E) is the smallest cp-closed set<br />

containing E,<br />

4. E is cp-closed if and only if cp-cl(E)=E, then<br />

cp- cl(cp-cl(E)) =cp-cl(E),<br />

5.If E� F, then cp-cl(E) � cp-cl(F),<br />

6.cp-cl(A) � cp-cl(B) � cp-cl(A � B),<br />

7.cp-cl(A � B) � cp-cl(A) � cp-cl(B).<br />

Generally, equality in (6) and (7) does not<br />

holds as shown by Examples 4.22 and 4.23 in<br />

[12].<br />

Icp-cl(A)=cp-cl(B) does not imply A=B this is<br />

shown in Example 4.18 in [12].<br />

Theorem 2.20. Let X be a space and A be any<br />

subset of X, then A � cp-d(A) is cp-closed.<br />

Proof. Let x�A � cp-d(A). This implies that<br />

x�A and x�cp-d(A). Since x�cp-d(A) there<br />

exists a cp-open set G x of x which contains no<br />

point of A other than x but x�A. So G x<br />

contains no point of A, which implies<br />

G is a cp-open set of each<br />

G x � X\A. Again x<br />

of its points. But G x does not contain any point<br />

of A, no point of G x can be a cp-limit point of<br />

A. Then no point of G x can belong to cp-d(A),<br />

so G x � X\cp-d(A) implies<br />

x� x<br />

G � X\A � X\cp-d(A) = X\(A � cp-d(A)),<br />

by Theorem 2.9, X\(A � cp-d(A)) is a cp-open<br />

set, so A � cp-d(A) is a cp-closed set.<br />

Corollary 2.21. For any subset A of a<br />

topological space X. we have cp-cl(A) =A � cpd(A).<br />

Proof. Since by Theorem 2.20, A � cp-d(A) is<br />

cp-closed containing A and cp-cl(A) is the<br />

smallest cp-closed containing A implies that cpcl(A)<br />

� A � cp-d(A). Hence cp-cl(A) =A � cpd(A).<br />

11


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 9-16, 2011<br />

Corollary 2.22. Let E be a set in a space X. A<br />

point x�X is in the cp-closure of E if and only if<br />

E � U � � , for every cp-open set U containing x.<br />

Proof. Let x�cp-cl(A), so by Corollary 2.21,<br />

either x�A or x�cp-d(A) and in both case<br />

E � U � � , for every cp-open set U containing<br />

x.<br />

Conversely. Suppose that U is any cp-open set<br />

containing x such that E � U � � this implies<br />

that x�E, then x�cp-cl(E).<br />

Theorem 2.23. For any subset A of a<br />

topological space X. The following statements<br />

are true:<br />

1. cp-cl(A) = X\cp-int(X\A),<br />

2. X\cp-cl(A) = cp-int(X\A),<br />

3. cp-int(A) = X\cp-cl(X\A),<br />

4. X\cp-int(A) = cp-cl(X\A).<br />

We only prove part (i) and the other parts are<br />

similar.<br />

Proof. For any x�X, x�cp-cl(A) and by<br />

Corollary 2.22 � A � U= � for each cp-open<br />

set U contains x � x�U � X\A � x�cpint(X\A)<br />

� x�X\cp-int(X\A).<br />

Definition 2.24. The set of all points neither in<br />

the cp-interior of A nor in the cp-interior of X\A<br />

is called cp-boundary of A and denoted by cpb(A).<br />

Some properties of cp-boundary are<br />

mentioned in the following results:<br />

Theorem 2.25. For any subset A of a<br />

topological space X. cp-b(A) =cp-cl(A)\cpint(A).<br />

Proof. since cp-b(A)=X\(cp-int(A) � cpint(X\A))=X\<br />

cp-int(A) � X\cp-int(X\A)=cpcl(A)<br />

� X\cp-int(A)=cp- cl(A) \cp-int(A) .<br />

Corollary 2.26. For any subset A of a<br />

topological space X, the following are true:<br />

1. If A is cp-closed, then cp-b(A)= A\cp-int(A),<br />

2. If A is cp-open, then cp-b(A)= cp-cl(A)\A,<br />

3. If A is both cp-open and cp-closed, then cp-<br />

b(A)= � ,<br />

4. A is cp-open if and only if cp-b(A) � A= � .<br />

That is cp-b(A) � cp-int(A) = � ,<br />

5. A is cp-closed if and only if cp-b(A) � A,<br />

6. If A is cp-closed and cp-int(A)= � , then cp-<br />

b(A)=A,<br />

7. cp-cl(A)=cp-int(A) � cp-b(A).<br />

We only prove parts(4), (5) and (7), the proof of<br />

other parts are obvious.<br />

Proof.(4). Let A be a cp-open set. Then cpb(A)=cp-cl(A)\A<br />

� X\A implies that cpb(A)<br />

� A= � .<br />

12<br />

Conversely. If cp-b(A) � A= � . So A � cp-<br />

cl(A) � X\cp-int(A) = � implies A � X\cp-int(A)<br />

= � . Thus A � X\X\cp-int(A)=cp-int(A) but on<br />

other hand cp-int(A) � A. It follows that A is cpopen<br />

set.<br />

(5). Let A be a cp-closed. Then cp-b(A)=A\cpint(A)<br />

� A.<br />

Conversely. If cp-b(A) � A, then cpb(A)<br />

� X\A= � implies that cp-cl(A) � X\cp-<br />

int(A) � X\A= � and hence cp-cl(A) � cpint(X\A)<br />

� X\A= � , then cp-cl(A) � X\A= � .<br />

Therefore, cp-cl(A) � A but on other hand A �<br />

cp-cl(A). It follows that A is cp-cdosed.<br />

(7).cp-int(A) � cp-b(A)=cp-int(A) � cp-cl(A)\cpint(A)=<br />

cp-cl(A).<br />

Proposition 2.27. For any subset A of a<br />

topological space X, the following are true.<br />

1. cp-b(A) is cp-closed,<br />

2. cp-b(A)=cp-b(X\A),<br />

3. cp-b(cp-b(A)) � cp-b(A),<br />

4. cp-b(cp-int(A)) � cp-b(A),<br />

5. cp-b(cp-cl(A)) � cp-b(A).<br />

Proof.(1).cp-cl(cp-b(A))=cp-cl(cp-cl(A) � cpcl(X\A))<br />

� cp-cl(cp-cl(A)) � cp-cl(cp-cl(X\A))=<br />

cp-b(A). Therefore A is cp-closed.<br />

(2).cp-b(A)=X\(cp-int(A) � cp-int(X\A))=X\(cpint(X\A)<br />

� cp-int(A))=cp-b(X\A).<br />

(3).cp-b(cp-b(A))=cp-cl(cp-b(A)) � cp-cl(X\cpb(A))<br />

� cp-cl(cp-b(A))=cp-b(A).<br />

(4).cp-b(cp-int(A))=cp-cl(cp-int(A))\cp-int(cpint(A))=cp-cl(cp-int(A))\cp-int(A)<br />

� cp-cl(A)<br />

\cp-int(A) = cp-b(A).<br />

(5).cp-b(cp-cl(A))=cp-cl(cp-cl(A))\cp-int(cpcl(A))=cp-cl(A))\cp-int(cp-cl(A))<br />

� cp-cl(A)\cpint(A)=cp-b(A).<br />

3. CP-CONTINUOUS AND CP-OPEN<br />

FUNCTIONS<br />

In this section, we introduce the concept of<br />

cp-continuous and cp-open functions by using<br />

cp-open sets also we give some properties and<br />

characterizations of such functions.<br />

Definition 3.1. The function f : X � Y is cpcontinuous<br />

at a point x�X if for each x�X and<br />

each cp-open set V of Y containing f (x), there<br />

exists a preopen set U of X containing x such<br />

that f (U) � V. If f is cp-continuous at every<br />

point of X, then it is called cp-continuous.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 9-16, 2011<br />

Theorem 3.2. Let f :X �Y be any function. If<br />

f is a preirresolute function, then it is cpcontinuous<br />

function.<br />

Proof. For each x�X and each cp-open set V of<br />

Y containing f (x). Then V is preopen set<br />

containing f (x). Since f is preirresolute<br />

function, there exists a preopen set U of X<br />

containing x such that f (U) � V. Hence f is<br />

cp-continuous.<br />

The converse of Theorem 3.2 is not true<br />

as it is shown in the following example:<br />

Example 3.3. Let f from R with usual<br />

topology onto R with co-finite topology be the<br />

identity function. Then f is cp-continuous but<br />

it is not preirresolute because (0, 1] is preopen<br />

set in R with co-finite topology and inverse<br />

image (0, 1] is (0, 1] which is not preopen set in<br />

R with usual topology.<br />

Theorem 3.4.If the co-domain of cp-continuous<br />

function f :X �Y is strongly compact, then it is<br />

preirresolute.<br />

Proof. For each x�X and each preopen set V of<br />

Y containing f (x), so Y\V is preclosed and Y\V<br />

is a subset of strongly compact Y, then by<br />

Lemma 1.10, Y\V is strongly compact. Since f<br />

is cp-continuous there exists a preopen set U of<br />

X containing x such that f (U) � V it follows<br />

that f is preirresolute.<br />

Theorem 3.5. For a function f : X �Y, the<br />

following statements are equivalent:<br />

1. f is cp-continuous,<br />

2. f<br />

cp-open set V in Y,<br />

3. f<br />

� 1<br />

(V) is preopen set in X, for each<br />

� 1<br />

(E) is preclosed set in X, for each<br />

cp-closed set E in Y,<br />

4. f (pcl(A)) � cp-cl( f (A)), for each<br />

subset A of X,<br />

� 1<br />

(B)) � f<br />

� 1<br />

(cp-cl(B)), for<br />

5. pcl( f<br />

each subset B of Y,<br />

6. f<br />

� 1<br />

(cp-int(B)) � pint( f<br />

� 1<br />

(B)), for<br />

each subset B of Y,<br />

7. cp-int( f (A)) � f (pint(A)) , for each<br />

subset A of X.<br />

Proof. (1) �(2). Let V be any cp-open set in Y.<br />

We have to show that f<br />

X. Let x� f<br />

� 1<br />

(V) is preopen set in<br />

� 1<br />

(V), then f (x)�V. By (i), there<br />

exists a preopen set U of X containing x such<br />

that f (U) � V which implies that<br />

x�U � f<br />

� 1<br />

(V) then f<br />

� 1<br />

(V) } is preopen set in X.<br />

� 1<br />

(V) = � { U :<br />

x� f<br />

(2)�(3). Let E be any cp-closed set in Y, then<br />

Y\E is a cp-open set of Y. By(ii),<br />

f<br />

� 1<br />

(Y\E)=X\ f<br />

� 1<br />

(E) is preopen set in X and<br />

� 1<br />

(E) is preclosed set in X.<br />

hence f<br />

(3)�(4). Let A be any subset of X, then<br />

� 1<br />

(cp-<br />

f (A) � cp-cl( f (A)) and A � f<br />

cl( f (A))). Since cp-cl( f (A)) is cp-closed set<br />

in Y. By(iii), we have f<br />

� 1<br />

(cp-cl( f (A)) is<br />

preclosed set in X. So pcl(A) � f<br />

� 1<br />

(cp-<br />

cl( f (A)))<br />

cl( f (A)).<br />

and hence f (pcl(A)) � cp-<br />

(4)�(5). Let B be any subset of Y, then<br />

f<br />

� 1<br />

(B) is a subset of X. By (iv), we have<br />

f (pcl( f<br />

� 1<br />

(B))) � cp-cl( f ( f<br />

� 1<br />

(B)))= cp-<br />

� 1<br />

cl(B). It follows that pcl( f (B)) � f<br />

cl(B)).<br />

� 1<br />

(cp-<br />

(5) � (6). Let B be any subset of Y, then apply<br />

(v)to Y\B, then pcl( f<br />

cl(Y\B)) � pcl(X\ f<br />

� 1<br />

(Y\B)) � f<br />

� 1<br />

(B)) � f<br />

int(B)) � X\pint((B)) � X\ f<br />

� 1<br />

(cp-intB) � pint f<br />

� 1<br />

(B)).<br />

� 1<br />

(cp-<br />

� 1<br />

(Y\cp-<br />

� 1<br />

(cp-<br />

int(B)) � f<br />

(6)�(7). Let A be any subset of X, then f (A)<br />

is a subset of Y. By (vi), f<br />

� 1<br />

(cp-int( f (A)) �<br />

� 1<br />

( f (A)))=pint(A). It follows that cp-<br />

pint( f<br />

int( f (A)) � f ( pint(A)).<br />

(7)�(1). Let x�X and lef V be any cp-open set<br />

of Y containing f (x), then x� f<br />

and f<br />

( f ( f<br />

� 1<br />

(V)<br />

� 1<br />

(V) is a subset of X. By(vii), cp-int<br />

� 1<br />

(V))) � f ( pint( f<br />

int(V) � f ( pint( f<br />

open set. Then V � f ( pint f<br />

that f<br />

f<br />

� 1<br />

(V) � pint( f<br />

� 1<br />

(V))). So cp-<br />

� 1<br />

(V))), since V is a cp-<br />

� 1<br />

(V))) implies<br />

� 1<br />

(V)) and hence<br />

� 1<br />

(V) is preopen set in X which contains x<br />

and clearly f ( f<br />

� 1<br />

(V)) � V.<br />

Definition 3.6. A function f : X � Y is said to<br />

be a cp-open function if for each x�X and for<br />

each preopen set U containing x, there exists a<br />

cp-open set V containing f (x) such that<br />

V � f (U).<br />

13


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 9-16, 2011<br />

Theorem 3.7. For a function f : X � Y, the<br />

following statements are equivalent:<br />

1. f is a cp-open function,<br />

2. The image of every preopen set in X is<br />

cp-open in Y,<br />

3. f (pint(A)) � cp-int( f (A)) for each<br />

subset A of X,<br />

4. pint( f<br />

each subset B of Y,<br />

5. f<br />

14<br />

� 1<br />

(B)) � f<br />

� 1<br />

(cp-cl(B)) � pcl( f<br />

� 1<br />

(cp-int(B)) for<br />

� 1<br />

(B)) for each<br />

subset B of Y,<br />

6. cp-cl( f (A)) � f (pcl(A)) for each<br />

subset A of X.<br />

Proof.(1) �(2). Let U be any preopen set in X,<br />

we show that f (U) is cp-open set in Y. Let<br />

f (x)� f (U) implies x�U. since f is cpopen<br />

function, there exists cp-open set V in Y<br />

such that f (x) �V � f (U). It follows that<br />

f (U)= � {V : f (x) � f (U) }, by Lemma 2.5,<br />

f (U) is cp-open set in Y.<br />

(2) �(3). Let A be any subset of X. Since<br />

pint(A) � A and pint(A) is a preopen set in X.<br />

by (ii), f (pint(A)) is a cp-open set in Y. So<br />

f (pint(A)) � cp-int f (A).<br />

(3) �(4). Let B be any subset of Y, then<br />

f<br />

� 1<br />

(B) is a subset of X. By(iii),<br />

f (pint( f<br />

� 1<br />

(B))) � cp-int f ( f<br />

int(B). It follows that pint( f<br />

� 1<br />

(B))=cp-<br />

� 1<br />

(B)) � f<br />

� 1<br />

(cp-<br />

int(B)).<br />

(4) �(5). Let B be any subset of Y, so Y\B is a<br />

subset of Y. By(iv),<br />

pint( f<br />

� 1<br />

(Y\B)) � f<br />

implies that pint(X\ f<br />

cl(B)), then X\pcl( f<br />

� 1<br />

(cp-int(Y\B)) which<br />

� 1<br />

(B)) � f<br />

� 1<br />

(B)) � X\ f<br />

cl(B)). This shows that f<br />

� 1<br />

(B)).<br />

� 1<br />

(Y\cp-<br />

� 1<br />

(cp-<br />

� 1<br />

(cp-cl(B))<br />

� pcl( f<br />

(5) �(6). Let A be any subset of X, then f (A)<br />

is a subset of Y. By(v), we obtain f<br />

cl( f (A))) � pcl( f<br />

� 1<br />

(cp-<br />

� 1<br />

( f (A)))=pcl(A). Hence<br />

cp-cl( f (A)) � f (pcl(A)).<br />

(6) �(1). For each x�X. Let U be any preopen<br />

set in X containing x, then X\U is a subset of X.<br />

By(vi), cp-cl( f (X\U)) � f (pcl(X\U))=<br />

f (X\U) and hence f (X\U)=Y\ f (U) is cpclosed.<br />

Therefore, f (U) is cp-open set<br />

containing f (x) and f (U) � f (U). Hence f<br />

is a cp-open function.<br />

Theorem 3.8. If f : X � Y is a cp-open<br />

function, then it is M-preopen, and the converse<br />

is also true if the space Y is strongly compact.<br />

Proof. Let U be any preopen set in X. Since f<br />

is cp-open, by Theorem 3.7(ii), f (U) is cpopen<br />

set in Y which is also preopen set in Y.<br />

Hence f is M-preopen function.<br />

Conversely. Let Y be a strongly compact and let<br />

U be any preopen set in X. Since f is Mpreopen,<br />

then f (U) is preopen set in Y and by<br />

Lemma 1.10, Y\ f (U) is strongly compact. So<br />

by Theorem 3.7(ii), f is cp-open.<br />

In general the converse of above<br />

theorem is not true as it is shown in the<br />

following example:<br />

Example 3.9. Let f from R with usual<br />

topology onto R with co-finite topology be the<br />

identity function. Then f is M-preopen, but it is<br />

not cp-open because (0, 1) is preopen set in R<br />

with usual topology and image of (0, 1) is (0, 1)<br />

which is not cp-open set in R with co-finite<br />

topology.<br />

Theorem 3.10. Let f be a M-preopen(resp. Mpreclosed)<br />

function from X onto Yand let<br />

g :Y �Z be any function such that g � f : X<br />

� Z is cp-continuous. Then g is cpcontinuous.<br />

Proof. Let V be cp-open (resp. preclosed<br />

strongly compact) subset of Z. Since g � f is<br />

cp-continuous, then ( g � f ) 1 � (V) is preopen(<br />

resp. preclosed) subset of X. Since f is a M-<br />

preopen(resp. M-preclosed) implies that<br />

f (( g � f ) 1 � � 1 � 1<br />

� 1<br />

(V))= f ( f ( g (V)))= g (<br />

V) is a preopen(resp. preclosed) set in Y. Hence<br />

g is cp-continuous.<br />

Theorem 3.11. Let f : X �Y be a function.<br />

Then the following statements are true:<br />

1. If f is cp-continuous and A is a semi<br />

open subset of X, then so is f \A: A � Y,<br />

2. If {U � : � in A} is a preopen set of X<br />

and if for each � , f � = f \U � is cp-continuous,<br />

then so is f .<br />

Proof (1). Let V be a cp-open set of Y. Since f<br />

is cp-continuous, then f<br />

and so ( f \A) 1 � = f<br />

� 1<br />

(V) is a preopen set<br />

� 1<br />

(V) � A, by Lemma 1.3,


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 9-16, 2011<br />

is a preopen subset of A. Hence f \A is cpcontinuous.<br />

(2). Let V be a cp-open set of Y. Then<br />

� 1<br />

�1<br />

f (V)=� { f � (V) : � in A} and since<br />

each f � is cp-continuous, it follows that<br />

�1<br />

each f (V) is a preopen set in U � and by<br />

�<br />

Lemma 1.4,<br />

�1<br />

�<br />

� 1<br />

(V) is a preopen set on X.<br />

f (V) is a preopen set in X. So<br />

f<br />

Theorem 3.12. If f : X �Y is preirresolute<br />

function and g :Y � Z is cp-continuous, then<br />

g � f : X � Z is cp-continuous.<br />

Proof. Let V be any cp-open set in Z. Since g is<br />

cp-continuous, so g 1 � (V) is preopen set in Y.<br />

Since f is preirresolute, then we obtain<br />

f<br />

� 1 � 1<br />

� 1<br />

( g (V))= ( g � f ) (V) is a preopen set<br />

in X. Hence g � f is cp-continuous.<br />

Theorem 3.13. Let f : X � Y be M-preopen<br />

and g : Y � Z be a cp-open function, then<br />

g � f is cp-open function.<br />

Proof. Let U be any preopen set in X. Since f<br />

is M-preopen, then f (U) is preopen set in Y.<br />

since g is cp-open function, so g ( f (U))=<br />

( g � f )(U) is cp-open set in Z. By Theorem<br />

3.7(ii), g � f is a cp-open function.<br />

Theorem 3.14. Let f : X � Y and g : Y � Z<br />

be any two function, then.<br />

1. If g � f is cp-open function and f is<br />

preirresolute, then g is a cp-open function,<br />

2. If g � f is preirresolute and f is Mpreopen<br />

surjective, then g is cp-continuous<br />

function,<br />

3. If g � f is cp-open function and g is<br />

cp-continuous injective, then f is a M-preopen<br />

function,<br />

4. If g � f is cp-continuous function<br />

and g is cp-open injective, then f is<br />

preirresolute function.<br />

Proof. (1). Let V be any preopen set in Y. Since<br />

� 1<br />

(V) is preopen set<br />

f is preirresolute, then f<br />

in X. Since g � f is cp-open function, so<br />

( g � f )( f<br />

� 1<br />

(V))= g ( f ( f<br />

� 1<br />

(V)))= g (V)<br />

is cp-open set in Z. By Theorem 3.7(ii), g is a<br />

cp-open function.<br />

(2). Let V be any cp-open set in Z, thus it is also<br />

preopen set. Since g � f is preirresolute, then<br />

( g � f ) 1 � (V) is preopen set in X. Since f is<br />

M-preopen surjective, implies that<br />

f (( g � f ) 1 � (V))= f ( f<br />

� 1 � 1<br />

( g (V)))<br />

= g 1 � (V) is preopen set in Y. By Theorem<br />

3.5(ii), g is cp-continuous function,<br />

(3). Let U be any preopen set in X, g � f is cpopen<br />

function, then by Theorem 3.7(ii),<br />

( g � f )(U) is a cp-open set in Z. Since g is<br />

cp-continuous injective, so g 1 � (( g � f )(U)))=<br />

g 1 � ( g ( f (U)))= f (U) is a preopen set in Y.<br />

Hence f is M-preopen function.<br />

(4). Let V be any preopen set in Y. Since g is<br />

cp-open function, so g (V) is a cp-open set in Z.<br />

Since g � f is cp-continuous and g is<br />

injective function, then ( g � f ) 1 � ( g (V))=<br />

f<br />

� 1 � 1<br />

( g ( g (V)))= f<br />

� 1<br />

(V) is a preopen set in<br />

X. Hence f is a preirresolute function.<br />

Theorem 3.15. Let f : X �Y be a cpcontinuous,<br />

M-preclosed function from a<br />

prenormal space X on to a space Y. If either X<br />

or Y is pre-T 1 , then Y is pre-T 2 .<br />

Proof (i). Y is pre-T 1 . Let y 1 , y 2 �Y and<br />

y 1 � y 2 . So {y 1 }, {y 2 } are preclosed strongly<br />

compact subset of Y, by Theorem 3.5(iii), we<br />

� 1<br />

have f ( y 1 ) and f<br />

� 1<br />

( y 2 ) are preclosed<br />

subset of a prenormal space X, then there exist<br />

two disjoint preopen sets U 1 and U 2 in X<br />

containing them. Since a function f is M-<br />

preclosed, the set V 1 =Y\ f (X\U 1 ) and<br />

V 2 =Y\ f (X\U 2 ) are preopen set in Y . Also are<br />

disjoint and containing y 1 and y 2 respectively,<br />

so Y is pre-T 2 .<br />

(ii). X is pre-T 1 , Let f (x) be a point of Y. {x}<br />

is preclosed in X. Since f is M-preclosed, then<br />

{ f (x)} is a preclosed set of Y. Hence Y is pre-<br />

T 1 and the proof is complete by part(i).<br />

Theorem 3.16. Let f : X � Y be any function<br />

with P1 -closed graph, X has the property P and<br />

Y is strongly compact, then f is cpcontinuous.<br />

Proof. For each x�X and each cp-open set V of<br />

Y containing f (x), then V is preopen set<br />

containing f (x). Hence Y\V is preclosed and<br />

Y\V is a subset of strongly compact Y, so Y\V is<br />

strongly compact. Since f has a P1 -closed<br />

15


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 9-16, 2011<br />

graph, then<br />

16<br />

�1<br />

f (Y\V) is preclosed and by<br />

Theorem 3.5(iii), we get f is a cp-continuous<br />

function.<br />

Theorem 3.17. If a function f : X �Y is cpcontinuous<br />

and Y is locally p-compact, pregular,<br />

T 2 space, then f has P1 -closed graph.<br />

Proof. Let (x, y)�G( f ), then f (x) � y. Since Y<br />

is a T 2 space, then there exists an open set V 1<br />

containing y and f (x)�cl(V 1 ). Since Y is<br />

locally p-compact, p-regular space, there exists a<br />

preopen set V in Y such that<br />

y�V � pcl(V) � V 1 and V 1 is strongly compact,<br />

by Lemma 1.10, pcl(V) is strongly compact.<br />

Therefore, Y\pcl(V) is cp-open set in Y<br />

containing f (x). Since f is cp-continuous,<br />

there exists a preopen set U containing x such<br />

that f (U) � Y\pcl(V) which implies<br />

f (U) � pcl(V)= � and hence we obtain<br />

f (U) � V= � . It follows that f has P1 -closed<br />

graph.<br />

REFERENCES<br />

� N. Bandyopadhyay and P. Bhattacharyya, Function with<br />

preclosed graph, Bull. Malays. Math. Sci. Soc.,<br />

28(1-2)(2005), 87-93.<br />

� N. Bandyopadhyay and P. Bhattacharyya, On function<br />

with strongly preclosed graph, Soochow. J. of Math.,<br />

32(1)(2006), 77-95.<br />

� H.S. Behnam. Some results about c-continuous<br />

functions and c- dimension functions, Mosul<br />

University M.SC. Thesis 1984.<br />

اسةوةي . ىركرايد ةهتاي َىمَوك َىظ وَيتةمخاس كةدهي و ينساين اد<br />

رةف وَيجرةم<br />

. ىركرايد ةم رةف وَيتةمخاس كةدهيو ينساين ةناد<br />

لاودلا ةفاضلااب اهصاوخ ضعب انسنسردو ) cp<br />

قلغملا نايبلا تاذ<br />

� J. Dontchev, Survey of preopen sets, The Proceedings<br />

of the Yatsushiro Topological Conference,<br />

(1998) 1-18.<br />

� S. Jafari and T.Noiri, More on strongly compact<br />

Spaces, Conference of Topology and its Application<br />

(Topo 2000) Miami University, USA,<br />

� A.B. Khalaf. Closed, compact sets and some<br />

dimension function, Mosul University M.SC. Thesis<br />

1982.<br />

� N. Levine, Semi-open sets and semi-continuity in<br />

topological spaces, Amer. Math. Monthly,70(1963),<br />

36-41.<br />

� A.S. Mashhoure, M.E. Abd El-Monsof, I.A. Hasanein,<br />

and T. Noiri. Strongly compact spaces, Delta J. Sci.,<br />

8(1)(1984), 30-46.<br />

� A.S. Mashhoure, M.E. Abd El-Monsof, and S.N. El-<br />

Deeb. On precontinuous and weak precontinuous<br />

mappings, Proc. Math. and Phys. Soc. Egypt,<br />

53(1982), 47-53.<br />

� A.S. Mashhoure, M.E. Abd El-Monsof, and S.N. El-<br />

Deeb. On pretopological spaces, Bull. Math. Soc.<br />

Sci. Math. R.S. Roumanie (N.S.). 28(76)(1984),<br />

39-45.<br />

� G. B. Navalagi, Further Properties of pre- T 0 , pre- T 1<br />

and pre- T 2 Spaces, Topology Atlas preprints #428.<br />

� G. B. Navalagi, pre-neighbourhoods, The<br />

Proceedings of the Yatsushiro Topological<br />

Conference, (1998), 1-18.<br />

� G. B. Navalagi, Definition Bank in general topology,<br />

Topology Atlas preprints #422.<br />

� T.Noiri, On � -preirresolute functions, Acta Math.<br />

Hungar, 95(4) (2002), 287-298.<br />

� T.Noiri, Almost p-Regular Spaces and some Functions,<br />

Acta Math. Hungar, 79(3)(1998), 207-2160<br />

� R. Paul and P. Bhattacharyya. On pre-Urysohn spaces,<br />

Bull. of the Malaysian Math. Soc.(Second series),<br />

22(1999), 23-34.<br />

� S. Willard, General Topology, Addison-Wesley<br />

publishing company , 1970.<br />

cp<br />

cp<br />

ةتخوث<br />

َىروج ذ ىركةظ وَيموك ةم اد َىهيلوكةظ َىظ د<br />

َىروج ذ<br />

. تنيد ةيتاي ماوةدرةب وَيشخةنو P1<br />

(<br />

ىركةظ وَيشخةنو ماوةدرةب وَيشخةن ةم<br />

َىروج ذ ىترط فارط وَيشخةن وَيي ىظدَيثو<br />

ةصلاخلا<br />

طمنلا نم ةحوتفملا ةعومجملا موهفم انمدق ثحبلا اذه يف<br />

ةلادلل ايفاكو ايرورض اطرش اندجو . ةيساسلاا ههصاوخ انثحبو ) cp<br />

(<br />

طمنلا نم ةحوتفملاو<br />

.<br />

ةرمتسملا ةلادلاو P1<br />

ةرمتسملا<br />

طمنلا نم


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Scienes), Pp 17-24, 2011<br />

GENETIC DIVERSITY ASSESSMENT AND VARIETY IDENTIFICATION<br />

OF PEACH (Prunus persica) FROM KURDISTAN<br />

REGION-IRAQ USING AFLP MARKERS<br />

SHAYMAA H. ALI<br />

Scientific Research Center, University of Duhok. Kurdistan Region-Iraq<br />

(Received: January 25, 2010; Accepted for publication: February 27, 2011)<br />

ABSTRACT<br />

The peach (Prunus persica) is an important member of the Rosaceae family, which contains many fruit, nut, and<br />

ornamental species. It has a basic chromosome number of 8. Amplified fragment length polymorphisms (AFLP)<br />

markers were used to determine the level of genetic diversity, genetic relationships, and fingerprinting of peach<br />

varieties cultivated in Kurdistan- Iraq. A total of 21 samples have been collected from different districts of Kurdistan<br />

including Duhok, Erbil and Sulaymani. The samples were analyzed by using AFLP markers. Two primer<br />

combinations generated a total of 124 bands and among them 109 (87.9%) were polymorphic. Using UPGMA<br />

clustering analysis method based on the similarity coefficient, varieties were separated into three major genetic<br />

clusters. The first genetic cluster mostly includes (Korneet asfer, Floredasin, Motaem bkornet mobaker (ahmer),<br />

Sprink time, Nectar 4, Nectar 6, Ahmer myse, Badree, Mskee, Tenee, Esmailly, Migrant, Abo-zalma, Silverking). The<br />

second genetic cluster includes (Read heaven, Sharly shapor). While the third genetic cluster contains (Zard, Elberta,<br />

Zaefaran, Dixired, j. h. hale). Genetic distance among 21 peach varieties were ranged from 0.0073 to 0.8572. The<br />

lowest genetic distance (0.0073) was found between varieties (Tenee) and (Esmailly) which were collected from Erbil,<br />

whereas the highest genetic distance (0.8572) was found between varieties num (Badree) and (Elberta) collected from<br />

Duhok and Sulaymani respectively. The results obtained in this study may assist peach cultivation and peach breeding<br />

programs in the region.<br />

KEYWORDS: - Peach (Prunus persica), Genetic Diversity, AFLP-Markers.<br />

T<br />

INTRODUCTION<br />

he peach (Prunus persica) is one of the<br />

species of genus, Prunus, native to<br />

China that bears an edible juicy fruit. It is a<br />

deciduous tree growing to 5-10m tall, and it is an<br />

important member of the Rosaceae family,<br />

which contains many fruit, nut, and ornamental<br />

species having a basic chromosome number of 8<br />

(Wang et al. 2002). The scientific name persica,<br />

along with the word "peach" itself and its<br />

cognates in many European languages, derives<br />

from an early European belief that peaches were<br />

native to Persia. The modern botanical<br />

consensus is that they originate in China, and<br />

were introduced to Persia and the Mediterranean<br />

region along the Silk Road before Christian<br />

times (Huxley 1992).<br />

Polymerase chain reaction (PCR)-based<br />

methods for genetic diversity analyses have been<br />

developed, such as random amplified<br />

polymorphic DNA (RAPD), amplified fragment<br />

length polymorphism (AFLP), and inter simple<br />

sequence repeat (ISSR/SSR). Each technique is<br />

not only differed in principal, but also in the type<br />

and amount of polymorphism detected. AFLP<br />

technique is based on the selective PCR<br />

amplification of restriction fragments from a<br />

total digest of genomic DNA. The technique<br />

involves three basic steps: (1) restriction of the<br />

DNA and ligation of oligonucleotide adapters,<br />

(2) selective amplification of sets of restriction<br />

fragments, and (3) gel analysis of the amplified<br />

fragments (Vos et al. 1995).<br />

Recently, the use of Amplified fragment<br />

length polymorphisms (AFLP) in genetic marker<br />

technologies has become the main tool due to its<br />

capability to disclose a high number of<br />

polymorphic markers by single reaction, high<br />

throughput, and cost effective (Jones et al.<br />

1997). AFLP have been widely utilized markers<br />

for constructing genetic linkage maps and<br />

genetic diversity analysis. It is a useful<br />

technique for breeders to accelerate plant<br />

improvement for a variety of criteria, by using<br />

molecular genetic maps to undertake markerassisted<br />

selection and positional cloning for<br />

special characters. Molecular markers are more<br />

reliable for genetic studies than morphological<br />

characteristics because the environment does not<br />

affect them (Vos et al. 1995).<br />

AFLP markers have successfully been used<br />

for analyzing genetic diversity in some other<br />

plant species. It has been proven the most<br />

efficient technique estimating diversity in barley<br />

(Russel et al. 1997), provides detailed estimates<br />

of the genetic variation of papaya (Kim et al.<br />

2002), and have been used to analyze the genetic<br />

17


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Scienes), Pp 17-24, 2011<br />

diversity of various plants such as tea (Lai et al.<br />

2001), eggplant (Mace et al. 1999), peach<br />

(Manubens et al. 1999), apple (Guolao et al.<br />

2001), rapeseed (Lombard et al. 1999), wild<br />

radish (Man and Ohnishi 2002), Musa sp. (Wong<br />

et al. 2001; Ude et al. 2002), peanut (Herselman,<br />

2003), soybean (Ude et al. 2003), and maize<br />

(Lübberstedt et al. 2000). A little work has been<br />

done on peach using AFLP molecular techniques<br />

for evaluating genetic diversity in relatedness<br />

with geographical origin.<br />

The objectives of this study are to use AFLP<br />

markers for varietal identification and to<br />

estimate genetic relationships among the peach<br />

varieties from Kurdistan region of Iraq.<br />

MATERIALS AND METHODS<br />

Sample Collection<br />

Leaf samples of the local peach varieties<br />

were collected from different districts in<br />

Kurdistan region and analyzed for AFLP. These<br />

samples were obtained from Duhok, Erbil and<br />

Sulaymani. The varieties of peach selected for<br />

this study were: Korneet asfer, Floredasin,<br />

Motaem bkornet mobaker (Ahmer), Sprink time,<br />

Nectar 4, Nectar 6, Ahmer myse, Badree,<br />

Mskee, Tenee, Esmailly, Migrant, Abo-zalma,<br />

Silverking, Read heaven, Sharly shapor, Zard,<br />

Elberta, Zaefaran, Dixired, and J. H. Hale.<br />

DNA Extraction<br />

From each variety, approximately 3g of<br />

young leaf tissue was collected and grounded to<br />

a fine powder using liquid nitrogen. DNA was<br />

extracted as reported by Weigand et al., (1993).<br />

This method was based on the use of 10ml of<br />

pre-heated (60 o c) 2x CTAB extraction buffer<br />

(2x CTAB, 5M NaCl, 1M Tris-HCl, 0.5 M<br />

EDTA), mixed well, and incubated at 60 ° c in<br />

shaking water bath. After 30 min of incubation,<br />

the mixture was extracted with an equal volume<br />

of choloroform/isoamyl alcohol (24:1, v/v). The<br />

mixture was then centrifuged (at 4000 rpm for<br />

30min). The aqueous phase was transferred into<br />

another tube and precipitated with 0.66 volume<br />

of isopropanol, and then TE- buffer was added to<br />

dissolve the nucleic acids.<br />

The samples of DNA obtained were loaded<br />

on to a 0.8% agarose gel, and DNA<br />

concentration was estimated by comparing the<br />

florescence with �DNA standard.<br />

PCR Amplification of AFLP- primers<br />

The AFLP analysis was performed according<br />

to Vos et al. (1995) method with minor<br />

modifications. Initially, genomic DNA (500ng of<br />

each sample) were digested with 5U each of two<br />

restriction enzymes, Tru91 (recognition site<br />

5’T↓TAA3’) and PstI (recognition site<br />

5’CTGCA↓G3’) in 30µl a final volume of<br />

18<br />

reaction mix containing, 1x one phor-all buffer<br />

(pharmacia Bioteh, Uppsala, Sweden) incubating<br />

three hours at 37 o C. The DNA fragments were<br />

then ligated with PstI and Tru91 adapter. This<br />

was achieved by adding 50 pmol of Tru91adapter,<br />

5 pmol of PstI-adapter,in a reaction<br />

containing1U of T4-DNA ligase, 1mM rATP in<br />

1x one phore-all buffer and incubating for 3<br />

hours at 37 o C. After ligation, the reaction<br />

mixture was diluted to 1:5 using sterile distilled<br />

water. Pre-selective PCR amplification was<br />

performed in a reaction volume of 20µl<br />

containing 50ng of each of the oligonucleotid<br />

primers (P00, M43) corresponding to the Tru91<br />

and PstI adapters (P00 primer corresponding for<br />

Pst1 adapter and M43 primer corresponding for<br />

Mse1(Tru91) adapter), 2µl of template- DNA,<br />

1U Taq DNA polymerase, 1x PCR buffer and<br />

5mM dNTPs, in a final volume 20µl.<br />

The PCR reaction was performed in a thermal<br />

cycler using following temperature: 30 cycles of<br />

30sec at 94 ºC, 6 at 60ºC, 1min at 72ºC. After<br />

that, the pre-amplification product was diluted to<br />

1:5 and 2µl used as template for selective<br />

amplification. Selective amplification was<br />

conducted using Tru91 and Pst1 primers<br />

combinations. The Pre-amplification and<br />

selective amplification primer combinations that<br />

used in this study are (P101+M181,<br />

P101+M184). Amplification was performed in<br />

thermo cycler programmed for 36 cycles with<br />

the following cycle profile: a 30sec DNA<br />

denaturation step at 94ºC, 30 sec annealing step<br />

(see below) and a 1min extension step at 72ºC.<br />

The annealing temperature was varied in the first<br />

few cycle it was 65ºC; in each subsequent cycle<br />

for the next 12 cycle it was reduced by 0.7ºC<br />

(touchdown PCR), and for the remaining 23<br />

cycles, it was 56ºC. The selective amplification<br />

products were loaded onto 6% denaturating<br />

polyacrylamid gels, and DNA fragments were<br />

visualized by silver staining kit (Promega,<br />

Madison, Wis) as described by the supplier,<br />

silver-stained gels were scaned to capture digital<br />

images of the gels after air dryin.<br />

Data analysis<br />

Total bands were scored visually and<br />

polymorphic bands were recorded for presence<br />

(1) or absence (0). The polymorphic adapt was<br />

used to estimate Jaccard coefficient of<br />

dissimilarity (Rohlf, 1993). The similarity<br />

coefficient was used for construction of<br />

dendrogram base on Unweighted Pair-Group<br />

Method Arithmetic (UPGMA). The dissimilarity<br />

coefficient estimation and dedrogram<br />

construction were performed using NTSYS-pc<br />

ver. 1.8 software (Rohlf, 1993).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Scienes), Pp 17-24, 2011<br />

RESULTS & DISCUSSION<br />

Figure 1 shows a typical AFLP gel image for<br />

the 21 varieties studied with the primer<br />

combinations (P101/M181) and (P101/M184). In<br />

this study genetic fingerprinting, phylogenetic<br />

diversity and genetic distance of peach varieties<br />

from Kurdistan region was evaluated by using<br />

AFLP markers. There were some studies had<br />

been done to estimate diversity of peach<br />

cultivars in Lebanon using microsattalite primer,<br />

(Chalak et al., 2006), AFLP markers also used to<br />

evaluate genetic diversity of ornamental peaches,<br />

(Donglin et al., 2005). Table 4 summarize the<br />

values of genetic distance of 21 peach varieties<br />

from different sources and locations.<br />

The genetic distance values ranged from<br />

(0.0073 to 0.8572). It was clear that the lowest<br />

genetic distance (0.0073) was found between<br />

varieties (Tenee) and (Esmailly) which were<br />

collected from Erbil, whereas the highest genetic<br />

distance (0.8572) was found between varieties<br />

Badree) and (Elberta) were collected from<br />

Duhok and Sulaymani respectively means that<br />

the similarity between them is very low.<br />

The dendrogram based on UPGMA produced<br />

three major clusters as shown in (Figure 2). The<br />

first genetic cluster mostly consisted of (Korneet<br />

Asfer, Floredasin, Motaem Bkornet Mobaker<br />

(Ahmer), Sprink Time, Nectar 4, Nectar 6,<br />

Ahmer Myse, Badree, Mskee, Tenee, Esmailly,<br />

Migrant, Abo-zalma, Silverking). The second<br />

genetic cluster consist of (Read Heaven, Sharly<br />

Shapor). While the third genetic cluster consists<br />

of (Zard, Elberta, Zaefaran, Dixired, J. H. Hale).<br />

The total number of amplified DNA fragments<br />

may make these varieties comes in separated<br />

groups. Studying the morphology of these<br />

varieties, it is noted that they have some<br />

characters that are close to each other, for<br />

example, the shape and color of fruits. Subclusters<br />

separated the varieties and form distinct<br />

genetic diversity among clusters.<br />

The genetic relationship among the cultivars<br />

based on molecular marker analysis will be<br />

useful for varietal identification and in further<br />

genetic improvement. It will also provide<br />

support for selection of parents for crossing in<br />

order to broaden the genetic base of the breeding<br />

programs (Thorman and Osborn, 1992).<br />

Estimation of genetic relationships will help to<br />

prevent genetic erosion within varieties by<br />

selecting a large number of different clones of<br />

each variety (Rühl, et al., 2000). Results of this<br />

study will provide guidance for future<br />

germplasm collection, conservation and breeding<br />

of peach.<br />

Table (1): Primer name and their sequences used for AFLP analysis<br />

No. Pre selective primer (‘5------3’) Selective primer (‘5-----3’)<br />

1 POO GACTGCGTACATGCAG P101 GACTGCGTACATGCAGAACG<br />

2 M43 GATGAGTCCTGAGTAAATA M181 GATGAGTCCTGAGTAACCCC<br />

3 M184 GATGAGTCCTGAGTAACCGA<br />

Table (2): Name and sampling region of the peach varieties used<br />

No. Name of Varieties Location Number of<br />

1. Korneet Asfer, Floredasin, Motaem Bkornet mobaker (ahmer), Sprink time,<br />

Nectar 4, Nectar 6, Ahmer myse, Badree<br />

Varieties<br />

Duhok 8<br />

2. Mskee, tenee, Esmailly, Migrant, Abo-zalma, Silverking Erbil 6<br />

3. Read heaven, Sharly shapor, Zard, Elberta, Zaefaran, Dixired, J. H. hale Sulaymani 7<br />

Total 21<br />

Table (3): Total number of bands, number of polymorphic bands and their<br />

percentage as amplified by the two primer combinations.<br />

AFLP primer Combination Number of Amplified<br />

Bands<br />

Number of<br />

Polymorphic Bands<br />

Percentage of Polymorphic<br />

Bands<br />

P101/M181 57 49 85.9%<br />

P101/M184 67 60 89.5%<br />

Total 124 109 87.9%<br />

19


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Scienes), Pp 17-24, 2011<br />

A B<br />

Fig. (1): AFLP Gel image of 21 peach varieties produced by primer combination (P101/M181) and<br />

(P101/M184). ((1.Korneet asfer 2. Floredasin 3. Motaem bkornet mobaker (ahmer) 4. Sprink time 5. Nectar 4 6.<br />

Nectar 6 7. Ahmer myse 8. Badree 9. Mskee 10. Tenee 11. Esmailly 12. Migrant 13. Abo-zalma 14. Silverking<br />

15. Read heaven 16. Sharly shapor 17. Zard 18. Elberta 19. Zaefaran 20. Dixired 21. j. h. hale).<br />

20


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Scienes), Pp 17-24, 2011<br />

Table (4): Genetic distance (Jaccard coefficient) between the peach varieties<br />

Fig. (2): The genetic relationship between peach varieties as estimated by AFLP markers analysis.<br />

21


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Scienes), Pp 17-24, 2011<br />

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African cultivated peanut (Arachis hypogaea L.)<br />

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America, and North American ancestral lines<br />

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M., and Kuiper M. (2000). Relationships among<br />

Early European Maize Inbreds: IV. Genetic<br />

diversity revealed with AFLP markers and<br />

comparison with RFLP, RAPD, and pedigree data.<br />

Crop Science, May-June, vol. 40, no. 3, p. 783-791.<br />

- Thormann, C.E. and T.C. Osborn. 1992. Use of RAPD<br />

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Applications of RAPD technology to plant<br />

breeding. Proceedings of the Joint Plant Breeding<br />

Symposia Series. Minneapolis, Minnesota, pp. 9-11.<br />

- Weigand, F.; Baum and Udupa S. (1993). DNA Molecular<br />

Marker Techniques.Technical Manual No.20.<br />

International Center For Agricultural Research in<br />

the Dry Areas (ICARDA). Aleppo, Syria.<br />

- Rohlf, F. J. (1993). NT SYS-PC. Numerical Taxonomy<br />

and Multivariate Analysis System. Version 1.8<br />

Exter Software, Setauket, New York, U.S.A.<br />

- Sneath P. H. A. and Sokal R. R. (1973). The principle and<br />

practice of numerical classification. In: Kennedy<br />

D., Park R. B. (Eds.), Numerical Taxonomy.<br />

Freeman, San Francisco.<br />

- Olsen G. J. and Swofford D. L. (1990). Phylogenetic<br />

Reconstruction in Molecular Systematics. Hillis D.<br />

M. and Moritz C. (eds). Sinauer Associates,<br />

Sunderland, 411-501 pp.<br />

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Nei M. (1972). Genetic distance between populations. Am.<br />

Nat.106:283-292.<br />

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Jahoor, W. Powell, and R. Waugh. (1997). Direct<br />

comparison of levels of genetic variation among<br />

barley accessions detected by RFLPs, AFLPs, SSRs<br />

and RAPDs. Theor. Appl. Genet. 95:714-722.<br />

- Kim, M.S., P.H. Moore, F. Zee, M.M.M. Fitch, D.L.<br />

Steiger, R.M. Manshardt, R.E. Paull, R.A. Drew, T.<br />

Sekioka, and R. Ming. (2002). Genetic diversity of<br />

Carica papaya as revealed by AFLP markers.<br />

Genome 45: 503-512.<br />

- Lai, J.A., W. Yang, and J.Y. Hsiao. (2001). An<br />

assessment of genetic relationships in cultivated tea<br />

clones and native wild tea in Taiwan using RAPD<br />

and ISSR markers. Bot. Bull. Acad. Sin. 42: 93-<br />

100.<br />

- Mace, E.S., R.N. Lester, and C.G. Gebhardt. (1999).<br />

AFLP analysis of genetic relationships among the<br />

cultivated eggplant, Solanum melongena L. and<br />

wild relatives (Solanaceae). Theor. Appl. Genet. 99:<br />

626-633.<br />

- Manubens, A., S. Lobos, Y. Jadue, M. Toro, R. Messina,<br />

M. Lladser, and D. Seelenfreund. (1999). DNA<br />

isolation and AFLP fingerprinting of nectarine and<br />

peach varieties (Prunus persica). Plant Mol. Biol.<br />

Rep. 17: 255-267.<br />

- Guolao, L., L. Cabrita, C.M. Oleiveira, and J.M. Leitao.<br />

2001. Comparing RAPD and AFLPTM analysis in<br />

discrimination and estimation of genetic similarities<br />

among apple (Malus domestica Borkh.) cultivars.<br />

Euphytica 119: 259-270.<br />

- Lombard, V., C.P. Baril, P. Dubreuil, F. Blouet, and D.<br />

Zhang. 1999. Potential use of AFLP markers for the<br />

distinction of rapeseed cultivars. Proceeding of the<br />

10th International Rapeseed Congress, Canberra,<br />

Australia.<br />

- Man, K.H. and O. Ohnishi. (2002). Genetic diversity and<br />

genetic relationships of East Asian natural<br />

populations of wild radish revealed by AFLP.<br />

Breed. Sci. 52: 79-88.<br />

- Wong, C., R. Kiew, J.P. Loh, L.H. Gan, O. Set, S.K. Lee,<br />

S. Lum, and Y.Y. Gan. (2001). Genetic diversity of<br />

the wild banana Musa acuminata Colla in Malaysia<br />

as evidenced by AFLP. Annals Bot. 88: 1017-1025.<br />

- Ude, G., M. Pillay, D. Nwakanma, and A. Tenkouano.<br />

(2002). Genetic diversity in Musa acuminata Colla<br />

and Musa balbisiana Colla and some of their natural<br />

hybrids using AFLP markers. Theor. Appl. Genet.<br />

104: 1246-1252.<br />

- Chalak, L.; Chehade, A.; Elbitar1, A.; Cosson1, P.;<br />

Zanetto1, A.; Dirlewanger1, E. and Laigret1, F.<br />

(2006). Morphological and molecular<br />

characterization of peach accessions (prunus<br />

persica l.) cultivated in Lebanon. Lebanese Science<br />

Journal, Vol. 7, No. 2<br />

- Donglin,H.; Zuoshuang, Z.; Donglin, Z.; Qixiang, Z. And<br />

Jianhua, L. (2005). Genetic relationship of<br />

ornamental Peach determined using AFLP-Markers.<br />

HortScience 40(6):1782-1786.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Scienes), Pp 17-24, 2011<br />

ىووب شةبادةوامؤب ىندشليسايد ؤب AFLP ىليهكةت ةدسةطةذهيص<br />

قاشَيع-ىاتطدسوك<br />

ةه خؤخ<br />

ىناكةسؤج ىةوةهيطان و<br />

ةتــخوـث<br />

وضَيوط وةويم ىكةووِس ةه سؤص ىكةيةسامر ةك ةناكةساذَهوط ةكةووِس ىناضَيخ ىطنشط ىليماذنةئ خؤخ ىكةووس<br />

مةه<br />

. ةيةي ىايمؤطؤمؤشك تشةي ىتشط ىكةيةوَيشةب ةك تَيشطةدؤخةه ةوةنذناصاس ىكةووس و مةداب و قةتظف<br />

ىذنةويةث و ىيةوامؤب ىنووبشةباد ىتطائ ىندشليسايد ؤب ةواشهَيي ساكةب<br />

ةه خؤخ ىةنونم سؤج نةي و تظيب ىتشط ىؤك<br />

AFLP<br />

ىليهكةت ةدسةطةذهيص ادةيةوةهيزَيوت<br />

. اذناتطدسوكةه خؤخ ىناكةسؤج ىيةوامؤب ىسؤمةنجةث و ىيةوامؤب<br />

وةوةهيزَيوت<br />

وةوةناشكؤك ىنامَيوط وشَيهوةي و نؤيد ىناكاطضَيساث ةه نةي سةيةه ىاتطدسوك ىناكةصاواج ةضوان<br />

و ىاتطدسوك ةه ةساج مةكةي ؤب ةك<br />

AFLP<br />

ىليهكةت ةدسةطةذهيص ىناهَييساكةب ةب اسد مانجةئ ؤب ىاييةوامؤب ىندشلَهةتيش<br />

ةذناب ىتشط ىؤك سةلَيجتطةد ىثوشط وود ىناهَييساكةب ةب ادةيةوةهيزَيوت مةه<br />

و ىووبةوَيشةشف وصاوايج<br />

ىدشلَهةتيشةب تةبيات<br />

) %89(<br />

ىايذناب ) 406(<br />

UPGMA<br />

ةك , ذناب ) 421(<br />

ةه<br />

ىووب ىتيشب<br />

ىسةتويجمؤك ىةمانسةب يناهَييساكةب ةب<br />

DNA<br />

. ىووب ةوَيشواي<br />

. تَيشهَييةدساكةب ادةكةضوان<br />

ىكةوان ىششت ىناكةواشكسؤص<br />

) % 4224(<br />

ىايذناب<br />

خؤخ<br />

ىةكةسؤج نةي و تظيب تشط ةيةوةهيزيوت مةئ ىناكةمانجةئ<br />

ةب تنطةب تشث ةب و ىيةوامؤب ىسامائ ىةوةناذلَيهو<br />

ةه ووب ىتيشب مةكةي ىثوشطةوامؤب . ىكةسةط ىثوشطةوامؤب َىط ؤب ىاشــلهَيهؤث ةوةماشطؤِشث و ميهكةت مةئ ىةطَيِس ةه<br />

Korneet asfer, Floredasin, Motaem bkornet mobaker (ahmer), Sprink time, Nectar 4, Nectar 6, Ahmer<br />

ووب ىتيشب مةوود ىثوشطةوامؤب و ) myse, Badree, Mskee, Tenee, Esmailly, Migrant, Abo-zalma, Silverking<br />

Zard, Elberta, Zaefaran, Dixired,<br />

ىيةوامؤب ىسوود ويترمةك . ووب<br />

025242<br />

( ةه ووب ىتيشب مةي َيط ىثوشطةوامؤب ةو<br />

ؤب<br />

) Read heaven, Sharly shapor(<br />

) 42(<br />

020040 ىاوَين ةه خؤخ ىناكةسؤج ىاوَين ىيةوامؤب ىسوود .) j. h. hale<br />

و ) 5(<br />

ةسامر ىاوَينةه ىيةوامؤب ىسوود ويشتسؤص اذلَيتاكةه , شَيهوةي ىاطضَيساث ةه ووب ) 44(<br />

و ) 40(<br />

ؤب وشاب ىلَيسةذيتةمساي و شخةبدوط ةنامانجةئ مةئ<br />

23<br />

(<br />

ةه<br />

ةسامر ىسؤج ىاوَينةه<br />

. نةي ىاودةه نةي ىنامَيوط و نؤيد ىاطضَيساث ةه ووب<br />

ةي ةه خؤخ ىناكةشاب ةسؤج ىنذناض و ىدشكسؤص و ىاذطَيهو<br />

ىدسازبَهةي ىتطةبةمةب خؤخ ىناساكةدسةوسةث<br />

و ىاسايتوج<br />

) 45(<br />

.<br />

اذقاشَيع<br />

ىناتطدسوك<br />

ىمَيس


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Scienes), Pp 17-24, 2011<br />

24<br />

قارعلا ناتسدروك ميلقأ يف خوخلا ةهكافل فانص لأا زيمتو يثارولا عونتلا يف AFLPلا<br />

تارشؤم مادختسا<br />

ةهكاف لثم وكاوفلا نم ديدعلا نمضتت يتلا ةيدرولا ةلئاعلا يف ةمهملا ةهكافلا دحأ<br />

داجيلا ةساردلا هذى يف تمدختسا<br />

AFLP<br />

لا اندلا تارشؤم<br />

. 5<br />

) Prunus persica(<br />

ةصلاخلا<br />

خوخلا ربتعي<br />

يموسوموركلا ددعلا تاوذ ةيرىزلا ةهكافلاو لقنلا<br />

قارعلا يف ىلولأا ةساردلا هذى ربتعتو<br />

, قارعلا ناتسدروك يف ةعورزملا خوخلا فانصأ نيب ةيثارولا ةقلاعلاو يثارولا عونتلا<br />

نم ةفلتخم قطانم نم ةنيع 24 عمج مت ذا.<br />

ةيضفنلا ةهكافلا ىلع AFLP اندلا تارشؤم مدختست يتلا ناتسدروك ميلقأو<br />

مت<br />

AFLPلا<br />

تارشؤم مادختساب ايثارو تانيعلا ليلحت متو<br />

ذا<br />

, ليبرأ و ةيناميلسلا<br />

, كوىد<br />

تاظفاحم<br />

تمض ميلقلأا<br />

مزحلا ددع تناك نيح يف ةنيابتم مزح ) % 54 ( 406 اهنيب نمو ةمزح 421 تجتنأ يتلاو تائدابلا نم<br />

نيتفيلوت مادختسا<br />

جمانرب قفو اهليلحت متو بوساحلا ىلا اهيلع لوصحلا مت يتلا تانايبلا تلخدأو<br />

.% 42<br />

ةبسنب يأ<br />

عيماجم ةثلاث ىلا تانيعلا تمسق<br />

جمانربلا اذى ىلع ادامتعاو تاساردلا نم عونلا اذهب صاخلا يئاصحلاا<br />

تينروكب معطم<br />

, ةملز وبأ<br />

, تناركيام<br />

, نساديرولف<br />

, يليعامسا<br />

ةيثارولا ةعومجملا تمض امنيب<br />

, رفصأ تينروك(<br />

, ينيت<br />

, يكسم<br />

. ) روباش يلراش<br />

42<br />

ةهباشتملا<br />

UPGMA<br />

ةيلاتلا فانصلأا ىلولأا ةيسيئرلا ةيثارولا ةعومجملا تمض ةيسيئر ةيثارو<br />

, يرذب,<br />

سيام رمحأ<br />

انيفاى دير(<br />

, 3<br />

راتكن<br />

تحوارت ةسوردملا فانصلأا نيب يثارولا دعبلا حوارت.<br />

) لوى جا يج ديرتسكيد<br />

يثارو دعب ىلعأ امنيب<br />

, ) ليبرأ ةظفاحم نم(<br />

نأ لمؤملا نم . يلاوتلا ىلع ةيناميلسلاو كوىد نم تعمج يتلا<br />

و<br />

, 1<br />

راتكن<br />

, ميات كنربس<br />

, ) رمحأ(<br />

ركبم<br />

تمضف ةيناثلا ةيسيئرلا ةيثارولا ةعومجملا<br />

و.<br />

) كنيكرفليس<br />

, ةينارفعز<br />

, اتريبلا<br />

, درز(<br />

ةثلاثلا ةيسيئرلا<br />

يليعامساو<br />

ينيت نيفنصلا نيب ناك يثارو دعب لقأ ناو 025242-020040نيب<br />

اتربلأ و رفصأ تينروك نيفنصلا نيب تدجو ) 025242(<br />

يف<br />

ةيبرتلا تلااجم يف خوخلا يبرم كلذكو خوخلا ةعارز ريوطت يف ةساردلا هذى نم اهيلع انلصح يتلا جئاتنلا دعاسي<br />

.<br />

قارعلا ناتسدروك ميلقأ


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 25-29, 2011<br />

EXISTENCE AND UNIQUENESS SOLUTION FOR NONLINEAR<br />

VOLTERRA INTEGRAL EQUATION<br />

RAAD. N. BUTRIS * and AVA SH. RAFEEQ **<br />

* Dept. of Mathematics, Faculty of Education, University of Zakho ,Kurdistan Region-Iraq<br />

** Dept. of Mathematics, Faculty of Science, University of Duhok ,Kurdistan Region-Iraq<br />

(Received: February 14, 2010; Accepted for publication: November 28, 2010)<br />

ABSTRACT<br />

In this paper, we study the existence and uniqueness solution for nonlinear Volterra integral equation, by using<br />

both methods ( Picard Approximation ) and (Banach Fixed Point Theorem). Also these methods could be developed<br />

and extended throughout the study.<br />

KEYWORDS: Existence and Uniqueness Solution; Volterra Integral Equation; Non-linear; Picard Approximation; Banach<br />

Fixed Point Theorem.<br />

I<br />

INTRODUCTION<br />

ntegral equations are encountered in<br />

various fields of science and numerous<br />

applications (oscillation theory, fluid dynamics,<br />

electrical engineering, etc.).<br />

Exact (closed-form) solutions of integral<br />

equations play an important role in the proper<br />

understanding of qualitative features of many<br />

phenomena and processes in various areas of<br />

natural science. Lots of equations of physics,<br />

chemistry and biology contain functions or<br />

parameters which are obtained from experiments<br />

and hence are not strictly fixed. Therefore, it is<br />

expedient to choose the structure of these<br />

functions so that it would be easier to analyze<br />

and solve the equation. As a possible selection<br />

criterion, one may adopt the requirement that the<br />

model integral equation admit a solution in a<br />

closed form. Exact solutions can be used to<br />

verify the consistency and estimate errors of<br />

various numerical, asymptotic, and approximate<br />

methods. Recently, [2,3,6].<br />

Pachpztte [5] studied the global existence of<br />

solutions of some volterra integral and integrodifferential<br />

equations of the form<br />

t<br />

x ( t ) �h( t ) ��k(<br />

t , s ) g ( s, x ( s )) ds ,<br />

and<br />

0<br />

t<br />

'<br />

x t f t x t k t s g s x s ds<br />

( ) � ( , ( ), � ( , ) ( , ( )) ),<br />

0<br />

with initial condition x(0) � x . o<br />

Tidke [7] investigated the existence of global<br />

solutions to first-order initial-value problems,<br />

with non-local condition for nonlinear mixed<br />

Volterra-Fredholm integro differential equations<br />

in Banach spaces of the form.<br />

t b<br />

'<br />

x () t f ( t , x ( t ), k ( t , s, x ( s)) ds, h( t , s, x ( s)) ds )<br />

0 0<br />

� � �<br />

with non-local condition<br />

x (0) �g( x ) � x . o<br />

Consider the following non linear system of<br />

Volterra integral equations which has the form :<br />

t s<br />

( , ) ( ) ( , ( , ), ( , �) ( �, ( �, )) �,<br />

o o<br />

a<br />

o<br />

��<br />

o<br />

x t x F t f s x s x G s g x x d<br />

� �� �<br />

�<br />

b( s)<br />

as ( )<br />

g ( �, x ( �, x )) d� ) ds,<br />

o<br />

(1)<br />

where x D<br />

n<br />

R<br />

n<br />

domain subset of Euclidean space R .<br />

Let the vectors functions<br />

f ( t , x , y , z ) � ( f ( t , x , y , z ), f ( t , x , y , z ),..., f ( t , x , y , z ))<br />

� � D is a closed and bounded<br />

1 2<br />

g ( t , x ) � ( g1( t , x ), g2( t , x ),..., g n ( t , x ))<br />

and<br />

Fo ( t ) � ( Fo1( t ), Fo2( t ),..., Fon ( t ))<br />

are defined and continuous in the domain<br />

( t , x , y , z ) �[ a, b] �D �D1 �D 2 � ( ��, � ) �D �D1 �D<br />

(2)<br />

2<br />

where 1 D and D 2 are closed and bounded<br />

m<br />

domains subsets of Euclidean space R .<br />

Suppose that the functions f ( t , x , y , z ) and<br />

g ( t , x ) satisfy the following inequalities :<br />

f ( t , x , y , z ) �M, g ( t , x ) � N<br />

(3)<br />

f ( t , x , y , z ) �f( t , x , y , z ) �Kx�x�Ly� y<br />

1 1 1 2 2 2 1 2 1 2<br />

�Qz1� z 2<br />

(4)<br />

g ( t , x ) �g( t , x ) �Hx� x<br />

(5)<br />

1 2 1 2<br />

for all t �[ a, b] , x , x 1, x 2 �D , y , y 1, y 2 � D1<br />

,<br />

z , z 1, z 2 � D2<br />

.<br />

where M and N are positive constant vectors<br />

and K , L , Q and H are positive constant<br />

matrices. Let G(t , s) is an (n � n) positive<br />

matrix which is defined and continuous in the<br />

n<br />

25


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 25-29, 2011<br />

domain [ a, b] � [ a, b]<br />

satisfying the following<br />

condition:<br />

( t s)<br />

G ( t , s) e , , 0<br />

� � �<br />

����� (6)<br />

where �� � a � s � t � b � �<br />

and also<br />

h � max t�[ a, b ] b( t ) �a( t ) , . � max t�[ a, b ] . ,<br />

where a(t) and b(t) are continuous functions<br />

defined on the domain (2).<br />

We defined the non-empty sets<br />

Df � D � M ( b �a) �<br />

�<br />

��<br />

D1f�D1�HM( b �a) �<br />

�<br />

�<br />

D2f�D2 � hHM ( b �a) �� 26<br />

(7)<br />

Furthermore, we suppose that the greatest<br />

eigenvalue � max of the matrix:<br />

�<br />

� � ( K � H ( L �Qh ))( b � a)<br />

, does not exceed<br />

�<br />

unity , i.e : �max � 1.<br />

PICARD APPROXIMATION METHOD<br />

The study of the existence and uniqueness<br />

solution of Volterra integral equation (1) will be<br />

introduced by the theorems :<br />

Theorem 1. ( Existence Theorem )<br />

Let f ( t , x , y , z ) , g ( t , x ) and Fo() t be vector<br />

functions which are defined and continuous on<br />

the domain (2), satisfy the inequalities (3),(4)<br />

and (5) , also G(t,s) is defined and continuous<br />

in [ a, b] � [ a, b]<br />

, satisfies the condition (6), then<br />

the sequence of functions :<br />

t s<br />

m 1 ( , ) ( ) ( , ( , ), ( , ) ( , ( , )) ,<br />

o o<br />

a<br />

m � � o m � �<br />

��<br />

o<br />

x t x F t f s x s x G s g x x d<br />

� � �� �<br />

b( s)<br />

� g ( �, x ( , )) ) ,<br />

as ( )<br />

m � x o d� ds<br />

(9)<br />

with x o ( t , x ) �F( ) o o t �xo, m � 1,2,...<br />

convergent uniformly on the domain :<br />

( t , x ) �[ a, b] �D f � ( ��, � ) �D<br />

f<br />

(10)<br />

to the limit function x �(<br />

t , x o ) which is<br />

satisfying the integral equation:<br />

t s<br />

x ( t , x ) �F( t ) �� f ( s, x ( s, x ), G ( s, �) g ( �, x ( �, x )) d�<br />

,<br />

o o<br />

a<br />

o � ��<br />

o<br />

b( s)<br />

� g ( �, x ( �, x )) ) ,<br />

as ( )<br />

o d� ds<br />

(11)<br />

with x � ( t , x 0)<br />

� Fo ( t ) � M ( b � a)<br />

(12)<br />

and<br />

(13)<br />

m<br />

�1<br />

x � ( t , x 0) � x m ( t , x 0)<br />

� � ( E �� ) M ( b �a)<br />

.<br />

Proof: Consider the sequence of functions<br />

x ( t , x ), x ( t , x ), ... , x ( t , x ) , ... defined by<br />

1 0 2 0 m 0<br />

recurrence relation (9) , each function of these<br />

sequence is continuous in t , x .<br />

From (9) when m = 0 and using (3), we have<br />

t<br />

x 1( t , x 0)<br />

�Fo( t ) � Fo ( t ) ��f(<br />

s, x , ( , ) ( , ) ,<br />

a<br />

o � G s � g � x o d�<br />

�<br />

b( s)<br />

as ( )<br />

s<br />

��<br />

g ( �, x ) d�) ds � Fo<br />

() t<br />

t<br />

s b ( s )<br />

� �a o ��� o � as ( )<br />

o<br />

o<br />

f ( s, x , G ( s, � ) g ( �, x ) d� , g ( �, x ) d� ) ds<br />

so that<br />

x 1( t , x 0)<br />

� Fo ( t ) �M( b � a)<br />

(14)<br />

By using (5) and (14), we get<br />

t<br />

y ( t , x ) � y ( t , x ) � G ( t , s) g ( s, x ( s, x )) ds �<br />

�<br />

1 0 0 0<br />

��<br />

1 0<br />

�<br />

t<br />

�<br />

t<br />

��<br />

G ( t , s ) g ( s, x ) ds<br />

� G ( t , s) g ( s, x (, s x )) �g(<br />

s, x )) ds<br />

��<br />

� � �<br />

1 0 0<br />

t<br />

��( t�s) e H x 1(, s x 0) x 0)<br />

ds<br />

��<br />

�<br />

therefore<br />

�<br />

y 1( t , x 0) �y0( t , x 0)<br />

� HM ( b � a)<br />

�<br />

for all xo �D and f<br />

�<br />

t<br />

y (, t x)<br />

� G ( t , s) g ( s, x ) ds �D<br />

0 0<br />

��<br />

0 1f<br />

Again, using (5) and (14), we have<br />

b ( t ) b ( t )<br />

� �<br />

z ( t , x ) � z ( t , x ) � g ( s, x ( s, x )) ds � g ( s , x )) ds<br />

1 0 0 0<br />

a( t )<br />

1 0<br />

a( t )<br />

0<br />

�<br />

bt ()<br />

� g ( s, x (, s x )) �g(<br />

s, x )) ds<br />

at ()<br />

�<br />

t<br />

1 0 0<br />

� H x (, s x ) �x)<br />

ds<br />

��<br />

1 0 0<br />

and hence<br />

z ( t , x ) �z( t , x ) �hHM( b � a)<br />

1 0 0 0<br />

for all xo �D and f<br />

�<br />

bt ()<br />

z (, t x)<br />

� g ( s, x ) ds �D<br />

0 0<br />

at ()<br />

0 2f<br />

So that<br />

x1(, t x0)<br />

� D where xo � D , f t � [ a, b].<br />

Therefore by mathematical induction, we get<br />

x ( t , x ) � F ( t ) �M( b � a)<br />

,<br />

m 0 o<br />

�<br />

y m ( t , x 0) �y0( t , x 0)<br />

� HM ( b � a)<br />

,<br />

�<br />

and<br />

z ( t , x ) �z( t , x ) �hHM( b � a)<br />

,<br />

1 0 0 0<br />

for all t [ a, b]<br />

� , xo Df<br />

z 0 (, t x0)<br />

� D2f.<br />

In other words<br />

x (, t x)<br />

D y (, t x)<br />

D<br />

m<br />

0<br />

� , 0 0 1<br />

0<br />

.<br />

.<br />

y (, t x)<br />

� D f and<br />

� , m 0 1 � and z m (, t x0)<br />

D2<br />

for all t [ a, b]<br />

� , xo Df<br />

z 0 (, t x0)<br />

� D2f,<br />

where<br />

� ,<br />

y (, t x)<br />

� D f and<br />

� , 0 0 1


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 25-29, 2011<br />

�<br />

t<br />

y ( t , x ) � G ( t , s ) g ( s, x ( s, x )) ds, m �0,1,2,...<br />

m 0<br />

��<br />

m 0<br />

and<br />

�<br />

bt ()<br />

z ( t , x ) � g ( s, x ( s, x )) ds , m �0,1,2,..<br />

m 0<br />

at ()<br />

m 0<br />

Now, we claim that the sequence of functions<br />

x (, t x)<br />

is uniformly convergent on the domain<br />

m<br />

0<br />

[ a, b] � Df<br />

.<br />

For m=1 in (9) using (3)-(5), we find that<br />

t<br />

x ( t , x ) � x ( t , x ) � � f ( s, x ( s, x ),<br />

2 0 1 0<br />

a<br />

1 0<br />

s<br />

��� x 1( s, x 0<br />

bs ( )<br />

� as ( )<br />

1 0<br />

G ( s, � ) g ( �, )) d� , g ( �, x ( �, x )) d�<br />

) �<br />

� �<br />

bs ( )<br />

s<br />

( , , ( , � ) ( � , ) �, g ( �, x ) d�)<br />

f s x G s g x d ds<br />

o<br />

��<br />

o<br />

as ( )<br />

t<br />

( K x 1( s, x )<br />

a<br />

o � x o<br />

�<br />

� HL x 1(<br />

s, x o ) � x o<br />

�<br />

�<br />

�QhHx( s, x ) � x ) ds<br />

� �<br />

1<br />

o o<br />

t<br />

�<br />

� � ( KM ( b �a) � HLM ( b �a) �QhHM<br />

( b � a)) ds<br />

a<br />

�<br />

�<br />

2<br />

� ( K �H( L �Qh))<br />

M ( b � a)<br />

�<br />

� �M ( b � a)<br />

.<br />

Suppose that the following inequality<br />

k<br />

x k �1( t , x 0) � x k ( t , x 0)<br />

� � M ( b � a)<br />

(14)<br />

holds for some m=k, then we shall prove that<br />

the inqualtiy<br />

k �1<br />

x ( t , x ) � x ( t , x ) � � M ( b � a)<br />

k �20k �10<br />

Is true for all t [ a, b]<br />

� , xo � Df<br />

From (9) when m=k+1 and the inequality<br />

(14), we get<br />

x ( t , x ) �x( t , x ) � ( K x ( s, x ) �x(<br />

s, x ) �<br />

k �20k �10<br />

t<br />

� a<br />

k �1<br />

0 k 0<br />

�<br />

HL x k �1( s, x 0) �xk( s, x 0) �QhH<br />

x k �1(<br />

s, x 0) �xk(<br />

s, x 0)<br />

) ds<br />

�<br />

t<br />

k � k<br />

� � ( K � M ( b �a) � HL � M ( b �a) �<br />

a<br />

�<br />

k<br />

QhH � M ( b �a))<br />

ds<br />

�<br />

�<br />

k<br />

( K � H ( L �Qh )) � M ( b � a)<br />

�<br />

k �1<br />

� M ( b �a)<br />

�<br />

By mathematical induction and by (9) and<br />

(12) the following inequality holds:<br />

m<br />

x m�1( t , x 0) � x m(<br />

t , x 0)<br />

� � M ( b � a)<br />

(15)<br />

�<br />

where � � ( K � H ( L � Qh))( b � a)<br />

�<br />

m �<br />

for all 0,1,2,...<br />

From (15) we conclude that for k � 1,<br />

we<br />

have the following inequality :<br />

x ( t , x ) �x( t , x ) � x ( t , x ) �x(<br />

t , x ) �<br />

m �k 0 m 0 m �k 0 m �k �1<br />

0<br />

2<br />

o<br />

x ( t , x ) �x( t , x ) �... � x ( t , x ) �x(<br />

t , x )<br />

m �k �1 0 m �k �2 0 m �1<br />

0 m 0<br />

� � ) � � ) �... �<br />

m �k �1 m �k �2<br />

x 1( t , x 0 �x0x1( t , x 0 �x0<br />

m<br />

� x (, t x ) � x<br />

1 0 0<br />

m 2 k �2k�1 � � ( E � � � � �... � � � � ) x 1(, t x 0) � x 0<br />

therefore<br />

m<br />

�1<br />

x m �k ( t , x 0) � x m ( t , x 0)<br />

� � ( E � �) M ( b � a)<br />

(16)<br />

where E is identity matrix, t � [ a, b]<br />

and xo � D . f<br />

By using the condition (8) and the inequality<br />

(16), we find that<br />

m<br />

lim � � 0<br />

(17)<br />

m ��<br />

The relations (16) and (17) prove the uniform<br />

convergence of the sequence of function (9) in<br />

the domain (10) as m ��.<br />

Let<br />

lim x ( t , x ) � x ( t , x )<br />

(18)<br />

m ��<br />

m<br />

0 � 0<br />

Since the sequence of functions x m (, t x 0)<br />

are<br />

defined and continuous in the domain (10), then<br />

the limiting function x � (, t x 0)<br />

is also defined and<br />

continuous in the domain (10).<br />

Theorem 2. (Uniqueness Theorem)<br />

With the hypotheses and all conditions of the<br />

theorem 1 , the solution of Volterra integral<br />

equation (1) is unique.<br />

*<br />

Proof. Let x (, t x 0)<br />

be another solution of the<br />

Volterra integral equation (1), i.e.<br />

t s<br />

* * *<br />

( , ) ( ) ( , ( , ), ( , �) ( �, ( �, )) �,<br />

o o<br />

a<br />

o<br />

��<br />

o<br />

x t x F t f s x s x G s g x x d<br />

� �� �<br />

�<br />

b( s)<br />

as ( )<br />

and then we have<br />

g x d ds<br />

*<br />

( �, x ( �, o )) � ) ,<br />

( , 0<br />

*<br />

( , 0<br />

t<br />

a<br />

0<br />

s<br />

��� x( , x0<br />

bs ( )<br />

� as ( )<br />

0<br />

x t x ) � x t x ) � � f ( s, x ( s, x ),<br />

G ( s, � ) g ( �, � )) d� , g ( �, x ( �, x )) d�<br />

) �<br />

� �<br />

*<br />

s<br />

*<br />

b ( s )<br />

*<br />

0<br />

��<br />

0<br />

a( s)<br />

0<br />

f ( s, x ( s, x ), G ( s, � ) g ( �, x ( �, x )) d� , g ( �, x ( �, x )) d� ) ds<br />

t<br />

� � a<br />

�<br />

* �<br />

*<br />

( K x ( s, x o) � x ( s, x 0) � HL x ( s, x o)<br />

� x ( s, x 0)<br />

�<br />

�<br />

�QhHxsx� ds<br />

*<br />

( , o ) x (, s x 0)<br />

)<br />

�<br />

�<br />

*<br />

( K � H ( L �Qh ))( b � a) x ( t , x o ) � x ( t , x 0)<br />

so that<br />

x ( t , x ) x ( t , x ) �� x ( t , x ) x ( t , x )<br />

* *<br />

0 � 0 0 � 0<br />

By iteration we find<br />

x ( t , x<br />

*<br />

) �x( t , x<br />

m<br />

) �� x ( t , x<br />

*<br />

) �x(<br />

t , x )<br />

0 0 0 0<br />

But from the condition (8), we get<br />

m<br />

� � 0 when m ��, hence we obtain that<br />

27


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 25-29, 2011<br />

28<br />

*<br />

0) � 0)<br />

. Hence 0<br />

x ( t , x x ( t , x<br />

solution of (1).<br />

x (, t x ) is a unique<br />

Remark 1. The following theorem ensure the<br />

stability solution of Volterra integral equation of<br />

non linear system (1) when there is a slight<br />

change in the point x 0 , accompanied with a<br />

noticeable change in the function x � x (, t x 0)<br />

.<br />

Theorem 3. :Let<br />

t s<br />

( , ) ( ) ( , ( , ), ( , �) ( �, ( �, )) �,<br />

o o<br />

a<br />

o<br />

��<br />

o<br />

x t x F t f s x s x G s g x x d<br />

� �� �<br />

�<br />

b( s)<br />

as ( )<br />

g ( �, x ( �, x )) d� ) ds,<br />

is non linear system of Volterra integral<br />

equations , then the following inequality:<br />

x ( t , x ) x ( t , x ) � ( E � � ) F ( t ) F ( t )<br />

1 2 �1<br />

1 2<br />

o � o o � o<br />

1 2<br />

is true for all t �[ a, b], x o , x o � Df<br />

Proof :From [4], we have<br />

t s<br />

o � o ��a o � ��<br />

o<br />

k k<br />

k k<br />

x ( t , x ) F ( t ) f ( s, x ( s, x ), G ( s, �) g ( �, x ( �, x )) d�<br />

,<br />

�<br />

b( s)<br />

as ( )<br />

o<br />

k<br />

g ( �, x ( �, x )) d� ) ds,<br />

k k k<br />

with x o ( t , x o ) �Fo� x o , where k=1,2<br />

then we have<br />

t<br />

1 2 1<br />

1<br />

( , o ) � ( , o ) o ( ) � ( , ( , ),<br />

a<br />

o<br />

x t x x t x � F t � f s x s x<br />

s<br />

b( s)<br />

1<br />

1<br />

� ( , � ) ( �, ( �, )) �, ( �, ( �, )) )<br />

o<br />

as ( )<br />

o �<br />

��<br />

�<br />

G s g x x d g x x d ds �<br />

�� �<br />

t s<br />

2 2 2<br />

o ( ) ( , ( , ), ( , � ) ( �, ( �, )) �,<br />

a<br />

o<br />

��<br />

o<br />

F t f s x s x G s g x x d<br />

�<br />

b( s)<br />

as ( )<br />

g x x d ds<br />

2<br />

( �, ( �, o )) � )<br />

t<br />

1 2 1 2<br />

o ( ) � o ( ) � K ( , o � ( ,<br />

a<br />

o<br />

�<br />

� F t F t ( x s x ) x s x ) �<br />

�<br />

1 2 1 2<br />

HL x ( s, x o ) �x( s , x o ) � QhH x ( s , x o ) �x(<br />

s , x o ) ) ds<br />

�<br />

� F ( t ) �F( t ) �<br />

1 2<br />

o o<br />

�<br />

�<br />

1 2<br />

( K �H( L � Qh))( b �a) x ( t , x o) �x(<br />

t , x o)<br />

� F t F t x t x ) x t x ) ,<br />

1 2 1 2<br />

o ( ) � o ( ) � � ( , o � ( , o<br />

so that<br />

1 2 �1<br />

1 2<br />

x ( t , x ) �x( t , x ) � ( E � � ) x ( t , x ) �x(<br />

t , x )<br />

o o o o<br />

1 2<br />

for all t �[ a, b], x o , x o � Df<br />

By definition of stability [4],<br />

1 2<br />

o ( ) � o ( ) � ,assume that � �<br />

�1<br />

F t F t �<br />

get<br />

x ( t , x ) x ( t , x ) �<br />

1 2<br />

o o<br />

� � ,<br />

o<br />

�<br />

( E �� )<br />

for all t �[ a, b], 1 2<br />

x o , x o � Df<br />

, i.e.<br />

x (, t x o ) is a stable solution for all t � a.<br />

, we<br />

1. Banach fixed point theorem<br />

The study of the existence and uniqueness<br />

solution of integral equation (1).<br />

Lemma 1[1]. Let S be a space of all continuous<br />

functions on [a,b], for any z �S define z by<br />

z � max z ( t ) . Then (S, z ) is a Banach space.<br />

t�[ a, b ]<br />

Theorem 4[1]. ( Banach fixed point theorem )<br />

Let E be a Banach space . If T is a<br />

contraction mapping on E , then T has one and<br />

only one fixed point in E .<br />

Theorem 5.( Existence and uniqueness<br />

theorem )<br />

Let f ( t , x , y , z ) , g ( t , x ) and 0 () F t be vector<br />

functions which are defined and continuous on<br />

the domain (2) and satisfying all conditions of<br />

theorem 1. Then the Volterra integral equation<br />

(1) has a unique continuous solution z ( t , x o ) on<br />

the domain (2), provided that 0��o� 1 , where<br />

�<br />

�o � ( K � H ( L � Qh))( b � a)<br />

.<br />

�<br />

Proof: From lemma 1 , (S, z ) is a Banach<br />

space , define a mapping<br />

� �� �<br />

*<br />

T on [a,b] as<br />

*<br />

T z( t , x ) o F ( t ) o<br />

t<br />

f ( s, z ( s, x ),<br />

a<br />

o<br />

s<br />

G ( s, �) g ( �, z ( �, x )) d�<br />

,<br />

��<br />

o<br />

b( s)<br />

� g ( �, z ( �, x )) ) ,<br />

as ( )<br />

o d� ds (19)<br />

Since g ( t , x ), G ( t , s) and 0 () F t are continuous<br />

on the domain (2), then<br />

bt ()<br />

t<br />

f ( t , z ( t , x ), ( , ) ( , ( , )) , ( , ( , )) )<br />

o � G t s g s z s x d� g s z s x o<br />

o ds<br />

��<br />

� is<br />

at ()<br />

*<br />

continuous on the domain (2), thus T z ( t, x ) is o<br />

continuous on the same domain, hence<br />

*<br />

T z( t , x ) : S � S .<br />

o<br />

*<br />

Next we claim that T z( t, x ) is contraction<br />

o<br />

mapping on [a,b] , let z , w � [ a, b]<br />

, then from<br />

(19) and using (3)-(5), we have<br />

t<br />

* *<br />

t x � t x max F t � f s z s x<br />

o o o o<br />

t�[ a, b ]<br />

a<br />

T z ( , ) T w ( , ) � ( ) � ( , ( , ),<br />

s<br />

b( s)<br />

��� o � as ( )<br />

G ( s, � ) g ( �, z ( �, x )) d� , g ( �, z ( �, x )) d� ) ds �<br />

�� �<br />

t s<br />

( ) ( , ( , ), ( , � ) ( �, ( �, )) �,<br />

o<br />

a<br />

o<br />

��<br />

o<br />

F t f s w s x G s g w x d<br />

�<br />

b( s)<br />

as ( )<br />

g ( �, w ( �, x )) d� ) ds<br />

t�[ a, b ] a<br />

o<br />

s<br />

t<br />

� max � f ( s, z ( s, x o), � G ( s, � ) g ( �, z ( �, x o))<br />

d�<br />

,<br />

�<br />

b( s)<br />

as ( )<br />

g ( �, z ( �, x )) d� ) ds �f<br />

( s, w ( s, x ),<br />

��<br />

o o<br />

s<br />

b( s)<br />

��� o � as ( )<br />

G ( s, � ) g ( � , w ( �, x )) d� , g ( �, w ( �, x )) d� ) ds<br />

max ( ( , ) ( , ) ( , ) ( , )<br />

t<br />

�<br />

K z s x �wsx� HL z s x �wsx�<br />

o o o o<br />

�<br />

� �<br />

t�[ a, b ] a<br />

o<br />

o


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 25-29, 2011<br />

�<br />

�QhHz( s, x ) � w ( s , x ) ) ds<br />

o o<br />

�<br />

( K � H ( L �Qh ))( b � a)<br />

max z ( t , x o) �w<br />

( t , x o)<br />

�<br />

t�[ a, b ]<br />

so that<br />

T z ( t , x ) �T w ( t , x ) � � z ( t , x ) � w ( t , x )<br />

* *<br />

o o o o<br />

Since 0��o� 1,<br />

we find<br />

mapping on [a,b], then by theorem 4,<br />

unique fixed point z ( t , x ) � [ a, b]<br />

, i.e.<br />

*<br />

T z ( t , x ) � z ( t , x ) and<br />

o o<br />

o<br />

*<br />

T is contraction<br />

t s<br />

*<br />

T z( t , x ) F ( t ) f ( s, z ( s, x ), G ( s, �) g ( �, z ( �, x )) d�<br />

,<br />

o o<br />

a<br />

o<br />

��<br />

o<br />

� �� �<br />

�<br />

b( s)<br />

as ( )<br />

g ( �, z ( �, x )) d� ) ds,<br />

o<br />

*<br />

T has a<br />

Hence z ( t , x o ) is the unique continuous<br />

solution for the Volterra integral equation (1) on<br />

the domain (2).<br />

Remark 2. The Picard approximation method<br />

give us a global solution for the Volterra integral<br />

equation (1), while contraction mapping theorem<br />

give us a local solution for the Volterra integral<br />

equation (1).<br />

REFERENCES<br />

- Butris, R. N. , Solution for the Volterra Integral<br />

Equations of Second Kind, Thesis, M.Sc.,<br />

University of Mosul, Iraq,(1984).<br />

- Gripenberg G., Londen S. O. and Staffens O., Volterra<br />

Integral and Functional Equations, Cambridge<br />

University Press, Cambridge, NewYork, (1990).<br />

- Miller, R. K. , Volterra integral equations in Banach<br />

space, Funkcialaj Ekvacioj, 18 (1995), 163-194.<br />

- Mitropolsky, Yu. A. and Martynuk D. I. , Periodic<br />

Solutions for the Oscillations Systems with<br />

Retarted Argument , Kiev, Ukraine, 1979 .<br />

- Pachpztte B. G., Applications of the leray-schauder<br />

alternative to some Volterra integral and integrodifferential<br />

equations, Indian J. pure appl.<br />

Math.,26(12): 1161–1168 (1995)<br />

- Polyanin A. D. and Manzhiriv A. V., Handbook of<br />

integral equations, CRC press, NewYork, 1998.<br />

- Tidke H. L., Existence of global solutions to nonlinear<br />

mixed Volterra-Fredholm integro-differential<br />

equations with nonlocal conditions, Elect. J. of diff.<br />

eq., Vol 2009,no.55,1-7(2009).<br />

ايةن ايراكواوةت اي ارًَتلىظ اشًَكواي ذ امَيذر انركراكًش اًناكات و ىوىبةي اندناخ ب ةياديرطةظىبخ َىهًلىكةظ َىظ<br />

مةئ اسةورةي و , ) ىخاناب اي رًَطًَج لااخ اندنالمةس ( و ) ىوىبكيزن ىب دراكًب ( اكَير وود اناهًئراكب ىذوةئ و ،ىلًَي<br />

ةتخىث<br />

. ويةكب هةرفرةب و ينخًَب شًَث ىرةس ل اكَير<br />

وةئ َىندناخ َىظ اكَيرب ىاًش<br />

ةصلاخلا<br />

مادختساب كلذو ةيطخلالا ةيلماكتلا اريتلوف تلاداعم نم ماظنل لحلا ةينادحوو دوجو ةسارد ثحبلا اذه نمضتي<br />

ةقيرطلا عيسوتو ريوطت ةساردلا هذه للاخ نم انعطتسا كلذكو .) خاناب ( ل ةتباثلا ةطقنلا ةنهربمو بيرقتلل دراكيب يتقيرط<br />

.<br />

هلاعا<br />

29


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 30-38, 2011<br />

03<br />

PROTECTIVE EFFECTS OF MELATONIN, VITAMIN E, VITAMIN C<br />

AND THEIR COMBINATIONS ON CHRONIC LEAD –INDUCED<br />

HYPERTENSIVE RATS<br />

ISMAIL MUSTAFA MAULOOD<br />

Dept of Biology, College of Science, University of Salahaddin, Kurdistan Region-Iraq<br />

(Received: February 25, 2010; Accepted for publication: March 9, 2011)<br />

ABSTRACT<br />

The aim of the present study was to investigate the effects of long-term administration of melatonin, vitamin C,<br />

vitamin E and their combinations, on blood pressure, serum nitric oxide (NO ),calcium ions and electrolytes in leadinduced<br />

hypertensive rats . Fifty four adult female albino rats were used in this study. The experimental rats were<br />

divided to nine groups, each of six individuals and the treatments were continued for 10 weeks as the following:<br />

Group 1: Control rats. Group 2: Sodium acetate (0.1mg/L drinking water). Group 3: Lead acetate (Pb). (0.1mg/L<br />

drinking water) Group 4: Pb + Melatonin. (60 mg of melatonin/kg diet) Group 5: Pb + Vitamin E. (1000 I.U of<br />

vitamin E /kg diet) ,(Group 6: Pb +Vitamin C (1mg of vitamin C/L drinking water). Group 7 (Combination ): Pb<br />

+Melatonin + Vitamin E ,Group 8 (Combination ): Pb + Melatonin +Vitamin C , and Group 9 ( Combination ): Pb<br />

+Vitamin E+ Vitamin C. A significant rise in systolic blood pressure (SBP) was noted 10 weeks after the onset of lead<br />

exposure in the Pb group. Administration of melatonin or vitamin c significantly reduced SBP on fourth week of<br />

treatments , whereas vitamin E caused a reduction in SBP on the sixth of treatments. Interestingly, melatonin in<br />

combination with vitamin E or C reduced SBP statistically more than vitamin E or C or their combinations. Coadministration<br />

of melatonin and vitamin E caused a significant decrease in heart rate on the eighth weeks of<br />

treatments. Reduction of serum NO that were detected in Pb treated rats were improved by melatonin, vitamin C,<br />

vitamin E and their combinations. Serum calcium was decreased in Pb treated rats , whereas serum sodium and<br />

potassium did not change. There were no statistical changes in body weight and food intake among the studied<br />

groups.<br />

In conclusion, long term lead-treated rats exhibited marked elevation of SBP , heart rate, and a significant<br />

reduction of serum NO . These abnormalities nearly disappeared with the melatonin in combination with vitamin E or<br />

C more than vitamin E or C or their combinations.<br />

KEY WORDS: Lead(Pb) , Hypertension, Nitric oxide Melatonin, Vitamin E, Vitamin C<br />

C<br />

INTRODUCTION<br />

hronic exposure to low levels of lead<br />

results in arterial hypertension in<br />

humans and in experimental animals (Sharp et<br />

al.,1988). Lead exposure increases blood<br />

pressure (BP) by unknown mechanisms (Badavi<br />

et al.,2008). Although different considerations<br />

have been raised to explain the pathogenesis of<br />

lead-induced hypertension, and several studies<br />

have suggested the primary involvement of the<br />

increased production of reactive oxygen species<br />

(ROS) in lead-exposed animals (Gonick et al.,<br />

19997). Elevated levels of ROS reduce the<br />

bioavailability of NO. Zhang et al., (2005)<br />

indicated that expression of eNOS of the Pb<br />

exposed rats was significantly upregulated. It has<br />

been reported that chronic exposure to lead<br />

raises plasma angiotensin-converting enzyme<br />

and kininase II activities, events that can support<br />

a rise in BP by elevating plasma angiotensin II<br />

and depressing plasma bradykinin levels<br />

(Carmignani et al.,1999). In addition, alter<br />

prostaglandin production, enhance endothelin<br />

generation, and increase protein kinase C<br />

activity have been implicated in the pathogenesis<br />

of lead-associated hypertension (HTN) (Gonick<br />

et al.,1998).<br />

Melatonin, the principal secretory product of<br />

pineal gland, is produced during the dark phase<br />

of circadian cycle. It has been shown that<br />

melatonin involves in the regulation of many<br />

physiological system including cardiovascular<br />

system (Vazan et al.,2004).The administration<br />

of melatonin significantly attenuates BP in NOSinhibited<br />

hypertensive rats(Deniz et al., 2006).<br />

Melatonin has roles in the regulation of calcium<br />

homeostasis and bone metabolism (Suzuki et<br />

al.,2000). Vitamin E is a potent, naturally<br />

occurring lipid-soluble antioxidant that<br />

scavenges ROS and lipid peroxyl radicals<br />

(Braunlich et al., 1997). Administration of highdose<br />

vitamin E significantly ameliorates but did<br />

not completely abrogate lead-induced HTN<br />

(Nostratola et al.,1999)<br />

Vitamin C is also an important water-soluble<br />

antioxidant in biological fluids (Frei et al.,<br />

1990). It readily scavenges reactive oxygen,<br />

nitrogen, and chlorine species, thereby<br />

effectively protecting other substrates from


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 30-38, 2011<br />

oxidative damage. The reactive species<br />

scavenged by vitamin C include superoxide,<br />

aqueous peroxyl radicals, singlet oxygen, ozone,<br />

peroxynitrite, nitrogen dioxide, and<br />

hypochlorous acid (Halliwell,1996). Attri et al.,<br />

(2003) concluded that concomitant<br />

administration of vitamin C ameliorates HTN,<br />

and normalizes NO levels. Compared with<br />

control group, blood Pb level was decreased<br />

significantly after given vitamin C, vitamin E or<br />

combination of vitamin C and E. The<br />

concentrations of superoxide dismutase, NO and<br />

NOS were significantly higher in vitamin C<br />

and/or E groups than those in control group<br />

(Li et al., 2008)<br />

The effects of co-administration of melatonin<br />

with vitamin C and E on SBP are not examined<br />

yet. Therefore, the aim of the present study was<br />

to investigate the effects of long-term<br />

administration of melatonin, vitamin C, vitamin<br />

E and in combinations, on BP, serum NO<br />

,calcium ions ,electrolytes and body weight gain<br />

or loss in lead-induced hypertensive rats.<br />

MATERIALS AND METHODS<br />

Animals and housing<br />

Fifty four adult female albino rats (Rattus<br />

norvegicus) were used in this study. All rats<br />

were weighing about (240 - 280 gm) and (7-9)<br />

weeks of age at the time when the experiment<br />

started. Animals were housed in plastic cages<br />

bedded with wooden chips. They were housed<br />

under standard laboratory conditions, 12:12<br />

light/dark photoperiod at 22 ± 2 ºC. The<br />

animals were given standard rat pellets and<br />

tap water ad libitum.<br />

Experimental Design<br />

This experiment was planed to study the<br />

effects of melatonin, vitamin E ,vitamin C and<br />

their combinations on SBP, heart rate, serum<br />

NO, sodium, potassium , calcium and body<br />

weight in rats treated with lead acetate. The<br />

experimental rats were divided to nine groups,<br />

each with six individuals and the treatments<br />

were continued for 10 weeks as the following:<br />

Group 1: Control. The rats were given standard<br />

rat chow and tap water ad libitum.<br />

Group 2: Sodium acetate . The rats were given<br />

standard rat chow and sodium acetate at dose<br />

(0.1mg/L drinking water).<br />

Group 3: Lead acetate (Pb). The rats were given<br />

standard rat chow and lead acetate at dose<br />

(0.1mg/L drinking water).<br />

Group 4: Pb + Melatonin. The rats were<br />

supplied with standard rat chow with melatonin<br />

(60 mg/kg diet) and Pb<br />

Group 5: Pb +Vitamin E. The rats were supplied<br />

with standard rat chow with vitamin E (1000<br />

I.U/kg diet) and Pb<br />

Group 6: Pb +Vitamin C. The rats were given<br />

standard rat chow with Pb and vitamin C at dose<br />

(1mg/L drinking water).<br />

Group 7: Pb + Melatonin + Vitamin E. The rats<br />

were supplied with standard rat chow with<br />

melatonin , vitamin E and Pb.<br />

Group 8: Pb + Melatonin +Vitamin C. The rats<br />

were supplied with standard rat chow with<br />

melatonin , vitamin C and Pb.<br />

Group 9: Pb +Vitamin E+ Vitamin C. The rats<br />

were supplied with standard rat chow with<br />

vitamin E , vitamin and Pb.<br />

Collection of blood samples<br />

At the end of the experiment, the rats were<br />

anesthetized with ketamine hydrochloride (50<br />

mg/kg). Blood samples were taken by cardiac<br />

puncture into chilled tubes and centrifuged at<br />

3000 rpm for 20 minutes; then sera were stored<br />

at -85C 0 until assay.<br />

Blood pressure and heart rate measurements<br />

Measurements of SBP and heart rate were<br />

obtained each two weeks by the tail-cuff method<br />

in all groups using power Lab (AD Instruments,<br />

power lab 2/25). During the week before<br />

treatment the rats were trained to become<br />

accustomed to the blood pressure measurements.<br />

Rats were placed in a restraining chamber and<br />

warmed to an ambient temperature of<br />

approximately 37C o , typically taking about 10-<br />

15 minute after that occluding cuffs and<br />

pneumatic pulse transducers were placed on the<br />

rats' tails. Six readings were taken for each rat,<br />

the highest, lowest and any associated with<br />

excess noise or animal movement were<br />

discarded. The average was taken of the<br />

remaining readings to generate a value for a<br />

given rat for that week.<br />

BIOCHEMICAL DETERMINATION<br />

Determination of serum sodium, potassium<br />

and calcium ion concentrations<br />

Serum Na + and K + ion concentrations were<br />

determined by using flame photometer<br />

(Galenkamp Flame Analyzer, Germany). Serum<br />

calcium was determined by spectrophotometer<br />

calcium kit Serum total nitric oxide<br />

measurement Serum total NO was<br />

determined by NO non –enzymatic assay kit<br />

(US Biological, USA)<br />

03


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 30-38, 2011<br />

03<br />

STATISTICAL ANALYSIS<br />

All data were expressed as means + standard<br />

error (SE) and statistical analysis was carried out<br />

using available statistical soft ware (SPSS<br />

version 15). Data analysis was made using oneway<br />

analysis of variance (ANOVA). The<br />

comparisons among groups were done using<br />

Duncan post hoc analysis. P values


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 30-38, 2011<br />

Furthermore, SBP was decreased on the<br />

second week of melatonin in combination with<br />

vitamin C treatment, while vitamin C and E<br />

combination did not change it significantly on<br />

the same week, however, their combination<br />

reduced SBP on the fourth weeks. As noted in<br />

the same table(1), Interestingly, melatonin in<br />

combination with vitamin E or C reduced SBP<br />

statistically more than vitamin E, C and their<br />

combinations. Meanwhile, melatonin, vitamin C<br />

,vitamin E and their combinations treatments<br />

caused the same degree of SBP reduction on the<br />

eighth and tenth weeks.<br />

Heart rate was elevated only on the last ten<br />

week of Pb treatment. Co-administration of<br />

melatonin and vitamin E caused a significant<br />

decrease in heart rate on the eighth weeks of<br />

treatments. However, melatonin supplementation<br />

alone did not change heart rate, but its<br />

combination with vitamin C and E reduced<br />

it significantly.<br />

After 10 weeks of Pb treatment, serum NO<br />

was markedly reduced (12.971 ±0.835 μmol/L)<br />

compared to control group (14.991 ±0.461<br />

μmol/L). On the other hand, a significant<br />

increase in serum NO concentration was<br />

recorded when rats treated with melatonin,<br />

vitamin C, vitamin E and their<br />

combinations,(Table 3). Serum calcium was<br />

decreased in Pb treated rats (9.9458 ±0.691 mg/<br />

dL) , whereas serum sodium and potassium did<br />

not change. However, vitamin E increased serum<br />

calcium (11.1954 ±0.47 mg/dL), and its<br />

combination with vitamin C reduced and<br />

restored it to the Pb group (9.5164 ±0.266<br />

mg/dL)(Table 3). Administration of vitamin E ,<br />

C and their co-administrations caused an<br />

increase in serum sodium, Furthermore,<br />

melatonin and its combination with vitamin E<br />

and C decreased serum potassium significantly<br />

compared with Pb group. There were no<br />

statistical changes in body weight and food<br />

intake among the studied groups, however,coadministration<br />

of melatonin and vitamin E<br />

slightly reduced it comparing with Pb group.<br />

Table( 3):- Effects of melatonin, vitamin E, vitamin C and their combination on serum NO, sodium ,potassium<br />

and calcium in rats treated with lead acetate.<br />

Treatments<br />

Parameters Treatments<br />

Control<br />

Na +<br />

Pb<br />

Pb + Mel<br />

Pb + Vit E<br />

Pb + Vi C<br />

Pb + Mel + Vit E<br />

Pb + Me l+ Vit C<br />

Pb + Vit E + Vit C<br />

Serum NO<br />

14.994 ± 0.461 abc<br />

14.091 ±0.950 ab<br />

12.971 ±0.835 a<br />

16.434 ±0.367 c<br />

15.680 ±0.434 bc<br />

16.251 ±1.084 bc<br />

16.76 ±0.379 bc<br />

15.11 ±0.592bc<br />

15.400 ±0.770 bc<br />

Serum Na +<br />

143.18 ±0.954 ab<br />

146.96 ±2.430 abc<br />

139.77 ±2.798 a<br />

143.05 ±1.387 ab<br />

154.69 ±2.306 c<br />

153.61 ±3.372 c<br />

147.12 ±2.444 abc<br />

139.67 ±3.351 a<br />

150.87 ±2.786b c<br />

Serum K +<br />

3.7661 ±0.113 de<br />

3.5879 ±0.079 cd<br />

3.7921 ±0.244 de<br />

3.0851 ±0.168 a<br />

3.6802 ±0.090 cde<br />

3.2665±0.134 abc<br />

3.1209 ±0.111 ab<br />

3.1504 ±0.178 ab<br />

3.8600 ±0.151 cde<br />

Serum Ca 2+<br />

9.4778 ±0.226 a<br />

11.3385 ±0.435 b<br />

9.9458 ±0.691 a<br />

10.6886 ±0.537 ab<br />

11.1954 ±0.470 b<br />

10.1625 ±0.610 ab<br />

10.0619 ±0.350 ab<br />

10.8201±0.380 ab<br />

9.5164 ±0.266 a<br />

Table (4):- Effects of melatonin, vitamin E, vitamin C and their combinations on body weight in lead treated<br />

rats during 10 weeks of treatments<br />

Treatments Body weight (grams)<br />

1 st week 2 nd week 4 th week 6 th week<br />

Control 250.1±8.75 a<br />

261.0 ±18.0 a<br />

261.3 ±6.4 a<br />

262.1±6.77 a<br />

Na +<br />

261.8±13.9 a<br />

272.3 ±26.5 a<br />

267.5±10.7 a<br />

271.1±9.83 a<br />

Pb 257.8 ±20.2 a<br />

270.1 ±40.0 a<br />

258.8 ±10.8 a<br />

277.1±14.8 a<br />

Pb + Mel<br />

254.1±10.8 a<br />

259.3 ±26.4 a<br />

265.3±13.9 a<br />

279.1±19.7 a<br />

Pb + Vit E 273.0 ±6.12 a<br />

274.6 ±19.8 a<br />

261.0±12.7 a<br />

261.3±9.75 a<br />

Pb + Vi C<br />

268.0 ±7.86 a<br />

287.8 ±21. a<br />

284.0±9.41 a<br />

280.6±9.43 a<br />

Pb + Mel + Vit E 265.8 ±6.15 a<br />

267.6 ±19.2 a<br />

267.3±6.98 a<br />

267.8±4.96 a<br />

Pb + Me l+ Vit C 249.00±14.2 a<br />

264.8 ±28.4 a<br />

261.3 ±6.4 a<br />

262.1±6.77 a<br />

Pb + Vit E + Vit<br />

C<br />

266.3 ±18.7 a<br />

280.8 ±31.9 a<br />

267.5±10.7 a<br />

271.1±9.83 a<br />

Similar letters indicate no significant difference.<br />

Different letters indicate significant difference at P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 30-38, 2011<br />

a<br />

Fig.( 2):- Effects of melatonin, vitamin E, vitamin C and their combination on heart rate (H.R)in lead inducedhypertensive<br />

rats during 10 weeks of treatments<br />

03<br />

DISCUSSIONS<br />

Results in the present study, showed that<br />

chronic exposure of lead acetate increased SBP<br />

significantly. The mechanism by which lead<br />

acetate caused an increase in SBP is not fully<br />

understood yet. Gonick et al., (1997) suggested<br />

the primary involvement of the increased<br />

production of ROS observed in lead-exposed<br />

animals. Moreover, chronic exposure to lead has<br />

been reported to raise plasma angiotensinconverting<br />

enzyme and kininase II activities,<br />

events that can support a rise in blood pressure<br />

by elevating plasma angiotensin II and<br />

depressing plasma bradykinin levels<br />

(Carmignani et al.,1999). In addition, altered<br />

prostaglandin-I production, enhanced endothelin<br />

generation, and increased protein kinase C<br />

activity have been implicated in the pathogenesis<br />

of lead-associated HTN (Gonick et al.,1998).<br />

Heart rate was elevated only on the last tenth<br />

weeks of Pb treatment. This elevation may be<br />

due to the effects of Pb on activation of<br />

adrenergic system or endothelium-derived<br />

vasoregulatory factors (Ding et al.,2001). These<br />

findings helped us to choose this model of<br />

elevated blood pressure in order to find, for the<br />

first time, a new method trying to reduce this<br />

elevation using co-administration of melatonin<br />

with vitamin E or C.<br />

Administration of melatonin significantly<br />

reduced SBP on fourth week of treatments.<br />

Several potential mechanisms of BP reduction<br />

are considered. Melatonin can act via its<br />

scavengering and antioxidant nature, improving<br />

endothelial function with increased availability<br />

of NO exerting vasodilatory , antioxidative and<br />

b<br />

c<br />

hypotensive effects. Therefore, NO deficiency<br />

lead to increase accumulation of superoxide<br />

anion in biological tissues and the development<br />

of oxidative stress in the body which in turn<br />

involved in pathophysiology of many forms of<br />

HTN (Kopkan and Majid, 2005). Melatonin<br />

seems to interfere with peripheral and central<br />

autonomic nervous system with subsequent<br />

decrease in the tone of adrenergic system and an<br />

increase in cholinergic system (Paulis and<br />

Simko,2007). Meanwhile, vitamin E caused a<br />

reduction in SBP on the sixth of treatment. This<br />

result is confirmed by Nosratola et al.,(1999)<br />

concluded that administration of high-dose<br />

vitamin E significantly ameliorated but did not<br />

completely abrogate lead-induced HTN.<br />

However, vitamin C significantly reduced<br />

SBP on the fourth weeks of treatment. SBP was<br />

decreased on the second weeks of melatonin<br />

with vitamin C or E combinations. The<br />

hypotensive effects of vitamin C and E may be<br />

due to their effects on NO levels as obtained by<br />

the current results shown in table 3. Attri et al.,<br />

(2003) concluded that concomitant<br />

administration of vitamin C ameliorated HTN.<br />

Furthermore, Li et al., (2008) attributed that<br />

concentrations of superoxide dismutase, NO and<br />

NO synthase were significantly higher in<br />

vitamin C and/or E groups than those in control<br />

group. Interestingly, melatonin in combination<br />

with vitamin E or C reduced SBP statistically<br />

more than vitamin E or C or their combinations<br />

on the sixth week of their treatments. According<br />

to our knowledge, this is the first study that<br />

shows how co-administration of melatonin with<br />

vitamin E or C prevents the increase of HTN.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 30-38, 2011<br />

The mechanisms were by oxidative stress plays a<br />

role in the pathogenesis of HTN involve in both<br />

hemodynamic (vasoconstrictive) and structure<br />

mechanisms (Denu et al.,1998). Vitamin E or C<br />

which they represent as antioxidants, might be<br />

strengthen the ability of melatonin to reduce<br />

further degree of blood pressure. Melatonin can<br />

significantly lower plasma ET-1(Maulood,2005),<br />

it can also reduce serum total cholesterol and<br />

serum triacylglycerol (Nishida et al.,2002).<br />

Additionally, Sozmen et al., (1998) concluded<br />

that increased total cholesterol, triacylglycerol,<br />

low-density lipoprotein (LDL) and decreased<br />

high-density lipoprotein(HDL) values were<br />

found in patients with HTN. As mentioned<br />

previously, melatonin seems to interfere with<br />

peripheral and central autonomic system with<br />

subsequent decrease in the tone of adrenergic<br />

system and an increase in cholinergic system<br />

(Paulis and Simko,2007). Unlike other<br />

antioxidant, melatonin also does not undergo<br />

redox cycling; melatonin once oxidized can not<br />

be reduced to its former state because it forms<br />

several stable end products upon reacting with<br />

free radicals (Pechanova et al., 2006).<br />

Meanwhile, melatonin, vitamin C ,vitamin E and<br />

their combinations treatments caused the same<br />

degree of SBP reduction on the eighth and tenth<br />

week. One possible hypothesis is that long term<br />

administrations of these treatments might<br />

improve the hypertensive effects of lead<br />

exposure through normalizing NO levels as<br />

detected in the current results on the last<br />

week of treatments.<br />

Current study demonstrated that long-term<br />

lead administration significantly decreased<br />

serum calcium, this result may be due to reduces<br />

in sarcolemmal calcium influx (Vassalo et<br />

al.,2008). Furthermore, different considerations<br />

have been raised to explain the pathogenesis of<br />

lead-induced HTN, such as an increased<br />

intracellular calcium concentration (Khali-<br />

Manesh et al., 1993). However, vitamin E<br />

increased serum calcium , its combination with<br />

vitamin C reduced and returned it to the Pb<br />

group. This result is consist with Norazlina et<br />

al., (2004) presented that vitamin E deficiency<br />

caused hypocalcaemia during the first month of<br />

the treatment period, increased the parathyroid<br />

hormone level in the second month and<br />

decreased the bone calcium content in the 4th<br />

lumbar bone at the end of the treatment.<br />

Interestingly, vitamin C and E in combination<br />

returned serum calcium to normal values. The<br />

reason of this result may firmly related with<br />

vitamin C rather than vitamin E. Boaz et al<br />

.,(2005) concluded that vitamin C<br />

supplementation could prevent bone loss caused<br />

by chitosan through the increment of retained<br />

Ca +2 followed by suppression of urinary<br />

Ca +2 excretion.<br />

Melatonin and its combination with vitamin<br />

E and C decreased serum potassium significantly<br />

compared with Pb group. Maulood, (2005)<br />

found that melatonin decreased ET-1, thereby<br />

decreasing serum potassium level. However the<br />

evidence for direct action of melatonin on<br />

adrenal gland is highly conflicting in nocturnal<br />

rodents like rats (Reiter et al., 2008). Hurwitz et<br />

al., (2003) demonstrated that there was a diurnal<br />

variation of aldosterone and plasma renin<br />

activity in relation to melatonin, they reported<br />

that melatonin precedes aldosterone secretion<br />

independent on plasma renin activity, in turn<br />

increase the potassium excretion.<br />

There were no significant changes in body<br />

weight among the studied groups, however, on<br />

the last week of treatments, co-administration of<br />

melatonin and vitamin E slightly reduced body<br />

weight comparing with Pb group. This finding is<br />

confirmed by Liu and Huang (1996)who<br />

showed that, rats fed the vitamin E diet had<br />

significantly lower body weight gain and food<br />

intake than rats fed the vitamin E-deficient<br />

control diet. Additionally, it has been<br />

documented that melatonin reduced plasma<br />

leptin (Nishida et al., 2002). Thus, leptin serves<br />

a primary role as an anti-obesity hormone<br />

(Ahima and Flier,2000).<br />

In conclusion, long term lead-treated rats<br />

exhibited marked elevation of blood pressure<br />

and heart rate, significant reduction of serum NO<br />

and calcium levels. These abnormalities nearly<br />

disappeared with the antioxidants melatonin in<br />

combination with vitamin E or C more than<br />

vitamin E, C and their combinations.<br />

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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 30-38, 2011<br />

ةب وَيوخ يشزةب يؤتضةثةلاث ةب ووب شووت يجزوج ةل ىايةلةكَيت ةو C ينماتيظ ، E ينماتيظ , يننؤتلايم ييةصَيزاث لىؤز<br />

واينةتةب<br />

C<br />

ينماتيظ ،<br />

E<br />

. ىةياخرَيزد يشموقزوق ينادَيث يؤي<br />

ينماتيظ و يننؤتلايم ةل كةيزةي ينةياخرَيزد ىزةطيزاك نييهكشث ةيةوةهيرَيوت مةل تضةبةم<br />

ةل وَيوخ ىوادزةش تييلاؤتركيلةئ و مؤيطلاك و كيتريان ىديطكؤئ و وَيوخ ىؤتضةثةلاثزةضةل<br />

ىايندسكولاةكَيتةب<br />

ادةيةوةهيرَيوت مةل ىجض ىةيَيم يجزوج زاوض وانجةث . مشوقزوق ىنادَيث ىؤيةب شزةب ىؤتضةثةلاث ةب واسك شوت يجزوج<br />

ىةوام ؤب كَيجزوج زةي ؤب ثوسط شةش زةي شاوايج يثوسط<br />

ؤن ؤب ىاسك شةباد ىاكةوتايزاكةب ةجزوج.<br />

1.0<br />

( ) مؤيدؤض يتاتيضةئ(<br />

مةزاوض يثوسط<br />

مةوود يثوسط<br />

, ) ةوةندزاوخ ىوائ ترل/<br />

مطم<br />

) لؤترنؤك ىجزوج(<br />

1.0<br />

مةكةي يثوسط<br />

( ) مشوقزوق يتاتيضةئ(<br />

: ةوةزاوخ ىةنامةئ وكةو ةتفةي<br />

ةتخوث<br />

تايزاكةب<br />

01<br />

مةيَيض يثوسط)<br />

ةوةندزاوخ ىوائ ترل/<br />

مطم<br />

ةل شةب 0111()<br />

E ينماتيظ + مشوقزوق(<br />

مةحهَيث يثوسط ، ) كازؤخ مطك/<br />

يننؤتلايم ةل مطم 01(<br />

) يننؤتلايم+<br />

مشوقزوق(<br />

, ةوةندزاوخ ىوائ ترل/<br />

C ينماتيظ ةل مطم 0(<br />

) C<br />

ينماتيظ+<br />

مشوقزوق ( مةشةش يثوسط , ) كازؤخ ةل مطك/<br />

+ يننؤتلايم+<br />

مشوقزوق(<br />

) ىيةلةكَيت(<br />

مةتشةي<br />

يثوسط,<br />

) E ينماتيظ + يننؤتلايم+<br />

مشوقزوق(<br />

) ىيةلةكَيت(<br />

وَيوخ ىةوؤبذسك ىزاشف ىوةنوبشزةبةب .) E ينماتيظ + c ينماتيظ+<br />

مشوقزوق(<br />

) ىيةلةكَيت(<br />

مةيؤن يثوسط,<br />

C<br />

ينماتيظ ىاي يننؤتلايم يناهَييزاكةب<br />

مةك يؤي ةوب<br />

E<br />

.<br />

E<br />

ينماتيظ<br />

مةتفةح يثوسط<br />

)<br />

C<br />

ينماتيظ<br />

مشوقزوق يةدامةب ىاكةجزوج ينادَيث شاث ةل اسك يدةب مةيةد ىةتفةي ةل<br />

ينماتيظ ىةتاك وةل مزاوض يةتفةيةل ةوةدسك مةك ىايهَيوخ ىةوؤبذسك واضزةب يكةيةوَيشةب<br />

لةطةل ىيةلةكَيت ةب يننؤتلايم ةوةيطنسطةب<br />

ىاي<br />

C<br />

ىهيشةباد<br />

ىاي<br />

C<br />

ىاي<br />

E<br />

ينماتيظ<br />

. مةشةش يةتفةيةل وَيوخ ىةوؤبذسك ىزاشف ىةوةنوبشزةب ىةوةندسك<br />

ةل دناشةباد ستايش ىايهَيوخ ىةوةنوبذسك ىزاشف يةوؤبشزةب<br />

. اد مةتشةي يةتفةيةل لد ىنادَيل<br />

ىةوةندسك مةك ىؤي ةوب<br />

ينماتيظ ،<br />

E<br />

ينماتيظ<br />

E<br />

C<br />

ىاي<br />

E<br />

ينماتيظ<br />

ينماتيظ و يننؤتلايم ينادةوةكَيث.<br />

ىايةلةكَيت<br />

, يننؤتلايم ىؤيةب ةوؤبتركاض مشوقزوق ىنادَيث ىؤيةب اسهيب ةك كيتريمن ىديطكؤئ<br />

يمَويضاتؤث و مؤيدؤض ىةتاك<br />

وةل مشوقزوق ةب وازدَيث يجزوج ةل ةوؤب مةك وَيوخ<br />

ىايندزاوخ ىةرَيز و ىاكةزةوةنايط يشَيكةل اسكةن يدةب ىزايسَيمذ يكةيشاوايج ضيي<br />

ىوادزةش ىمؤيطلاك<br />

.<br />

. ىايةلةكَيت<br />

ىازؤطةن وَيوخ ىوادزةش<br />

. ىاكةوتايزاكةب ةثوسط ىاوَينةل<br />

ىةوَوبذسك ىزاشف ىواضزةب ىةوةنوبشزةب ىؤي ةتيبةد مشوقزوق ينةياخرَيزد<br />

ينادَيث ةكتيوةكةدزةد اوادمانجةزةدةل<br />

ةوةتيبةد<br />

مةك ييةكيصنةب ةنانوضكَيت مةئ<br />

.<br />

ىايةلةكَيت ىاي<br />

C<br />

ىاي<br />

E<br />

. وَيوخ ىوادزةش ىكيتريان ىديطكؤئ ىةوةندسك مةك و لد ينادَيل و<br />

ينماتيظ ةل ستايش ىكةيةوَيشةب<br />

C<br />

ىاي<br />

E<br />

وَيوخ<br />

ينماتيظ لةطةل ىيةلةكَيتةب يننؤتلايم ينادَيث ىؤيةب<br />

03


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 30-38, 2011<br />

ةطساوب مدلا طغض طرفب ثدحتتسملا ناذرجلا يف امهنيب لخادتلاو ،<br />

ةدملو امهنيب ليخادتلاو<br />

03<br />

E<br />

نيماتيف ،<br />

c<br />

. صاصرلا ةدام<br />

طرفب ثدحتسملا ناذرجلا يف تيلاورتكللأاو مويسيلاكلا تانويا<br />

C<br />

نيماتيف ،<br />

E<br />

نيماتيف ،نينوتلايملل يئاقولا رودلا<br />

ةصلاخلا<br />

نيماتيف ،نينوتلايم ءاطعأ ريثأت نع فشكلل يه ةيلاحلا ةساردلا يف فدهلا نا<br />

, ىكيرتيانلا ديسكولأا زيكرت<br />

ىلع تاناويحلا تعزوو ةساردلا هذه يف ثانلأا نم اغلاب اذرج نوسمخو ةعبرا تمدختسا<br />

: ىلولاا ةعومجملا<br />

ةثلاثلا ةعومجملا<br />

/ مغك<br />

01<br />

:<br />

ىتلأاكو عيباسا<br />

.) برشلا ءاملا نم رتل<br />

زيكرتب نينوتلايم<br />

+ صاصرلا(<br />

01<br />

. مدلا طغض ىلع ةليوط<br />

. صاصرلا ةطساوب مدلا طغض<br />

ةدمل ةيرجتلا ترمتساو تاناويح<br />

تس تلمتشا امهنم لك عيماجم عست<br />

/ مغلم<br />

1.0<br />

ةعبارلا ةعومجملا<br />

زيكرتب مويدوصلا تاتيسا(<br />

.) برشلا ءاملا نم رتل<br />

ةيناثلا ةعومجملا ،<br />

/ مغلم<br />

1.0<br />

) ةرطيسلا تاناويح(<br />

زيكرتب صاصرلا تاتيسا(<br />

+ صاصرلا(<br />

ةسداسلا ةعومجملا ). فلع مغك / ةدحو 0111 زيكرتب E نيماتيف + صاصرلا(<br />

ةسماخلا ةعومجملا ،)<br />

فلع<br />

) E<br />

+<br />

نيماتيف+<br />

E<br />

ءاطعا نا<br />

نيماتيف<br />

نينوتلايم<br />

+<br />

+<br />

صاصرلا(<br />

صاصرلا(<br />

) لخادت(<br />

: ةعباسلا ةعومجملا<br />

لخادت<br />

: ةعساتلا ةعومجملا<br />

. صاصرلاب ةعومجملا ةلماعم يف عيباسا<br />

تببسامنيب ةلماعملا نم<br />

عم لخادتب نينوتلايم ءاطعا ىداو<br />

. امهنيب لخادتلا وأ c وا<br />

) c<br />

01<br />

نيماتيف<br />

+<br />

) برش ءاملا نم رتل<br />

/<br />

مغلم<br />

نينوتلايم+<br />

صاصرلا(<br />

) لخادت(:<br />

0<br />

زيكرتب<br />

c<br />

نيماتيف<br />

ةنماثلا ةعومجملا<br />

.) c<br />

دعب يونعم لكشب يضابقنلإا مدلا طغض عافترا ظحول<br />

عبارلا عوبسلأا يف يونعم لكشب مدلا طغض يف ضافخنا ىلا اتدا<br />

E<br />

. ةلماعملا نم سداسلا عوبسلأا يف يضابقنلأا مدلا طغض يف اظافخنا<br />

نيماتيف ءاطعا نم رثكا لكشب يضابقتلأا مدلا طغضل يونعم ضافحنا ىلا<br />

c<br />

نيماتيف<br />

نيماتيف وا نينوتلايملا<br />

c<br />

وا<br />

E<br />

E<br />

نيماتيف<br />

نيماتيف<br />

نا . ةلماعملا نم نماثلا عوبسا يف بلقلا تابرض لدعم يف يونعم ضافخنا ىلا ىدا E نيماتيف<br />

عم نينوتلايم ءاطعا ناو<br />

. امهنيب ليخادتلاو c،<br />

E<br />

نيماتيف ، نينوتلايم ءاطعا ةطساوب تنسحت دق صاصرلا ءاطعاب ىكيرتيانلا ديسكوا نم ضافخنا<br />

يف مويساتوبلاو مويدوصلا نم لك تريغت<br />

مل امنيب ، صاصرلاب ةلماعملا ناذرجلا لصم يف مويسلاكلا ةبسن تضفخنا<br />

. ةسوردملا تلاماعملا نيب ذوخأملا ءاذغلا رادقمو تاناويحلا نزو يف يئاصحا ريغت يا ضحلاي ملو لصملا<br />

تابرض لدعمو يضاقبنلأا مدلا طغض عافترا ىلا يدؤي ةليوط ةدمل صاصرلاءاطعا ناب ةيلاحلا ةساردلا نم جتنتسي<br />

ءاطعا ةطساوب ابيرقت ةعيبطلا ريغ تلااحلا هذه تضفحناو ،لصملا يف يكيرتيانلا ديسكولأا<br />

ةبسن يف ضافخناو بلقلا<br />

امهنيب لخادتلا وا<br />

c<br />

وا<br />

E<br />

نيماتيف نم ربكا لكشب<br />

c<br />

وأ<br />

E<br />

نيماتيف عم ليخادتلاب نينوتلايم


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

ENGINEERING CLASSIFICATION AND INDEX PROPERTIES OF THE<br />

ROCKS AT DERBANDI GOMASBPAN – SUGGESTED DAM SITE<br />

MOHAMED TAHIR A. BRIFCANI<br />

School of Engineering, Faculty of Engineering and Applied Sciences, University of Duhok, Kurdistan Region-Iraq<br />

(Received: May 15, 2010; Accepted for publication: February 27, 2011)<br />

ABSTRACT<br />

This study concerns the ground conditions and the engineering properties of the rocks in Derbandi Gomasbpan<br />

(Gomasbpan valley), which was suggested to be a site for a dam construction. The study emphasized on the<br />

qualitative engineering classifications and index properties of the existed rocks at the site as to be the dam foundation,<br />

their abutments and for the stability of the slopes, including the slopes of the dam embankments (when it is built<br />

from) during and after construction.<br />

The Pila Spi Limestone which is one of the rock types and widely exposed at the site, was exceptionally, studied<br />

for its engineering behavior. The geotechnical laboratory testing of Pila Spi limestone was carried out and the<br />

acquired data were used for its engineering classifications both, as an intact rock and as a rock mass. The study<br />

results show that the general qualitative classification of this rock is rigid and high in mass strength, eventually, the<br />

rock was reliably evaluated for the dam foundation and its abutments.<br />

The Gercus and Kolosh Formations which are predominantly composed of shale, which extensively, exposed at the<br />

dam site and most of the stream drainage-basin area. The rocks at the dam site were studied in part for their<br />

mechanical properties, emphasized on their slake durability indexes and shale ratings. The test results of the slakedurability<br />

and rating of the shale were variable in values, few tested samples showed, relatively, with very low rating.<br />

The shale rating results were evaluated for the estimations of allowable slope angles of the dam embankment<br />

(construct from this shale) as a function of the shale ratings. The allowable lift thicknesses and required compaction<br />

field densities of the shale for the embankment were also estimated.<br />

KEYWORDS: Gomasbpan, Dam Site, Rocks, Index-Properties, Shale Rating.<br />

D<br />

1. INTRODUCTION<br />

erbandi Gomasbpan is located about 30<br />

Km NE of Hawler ( Irbil) city,<br />

between the longitudes 44 o - 18’- 00’’ and 44 o -<br />

21’- 00”N and the latitudes 36 o - 16’- 00’’ and<br />

N<br />

App. Scale 1: 3,500,000<br />

Fig. (1): Location map<br />

36 o - 19’- 00’’ E, at the vicinity of Gomasbpan<br />

village, Figure (1), and (2). The location was<br />

suggested to be a site for a dam construction, so<br />

that, the surrounding area could be developed for<br />

the out-door people-recreations, as well as for<br />

the agricultural and inhabitant benefits.<br />

Suggested dam site<br />

93


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

This study concerns the ground conditions<br />

and the engineering properties of the rocks in the<br />

Derbandi Gomasbpan. The study is emphasized<br />

mainly, on the qualitative engineering<br />

classification and index properties of the rocks<br />

existed at the dam site, such information<br />

basically, used for the design of dams<br />

foundations and their abutments, as well as for<br />

the study of the slopes stability and construction<br />

materials needed.<br />

Geomorphologically, the area is a part of the<br />

highland, mountainous, folded region, maximum<br />

elevation at the site is 1080 m above sea level,<br />

04<br />

while the lower elevation is 800m at the bottom<br />

of the narrowest gully path, which is about 50m<br />

in width where the dam foundation has to be<br />

located. The left-side slope of the valley is<br />

steeper ( 20 – 35 o ) than the right-side slope<br />

which is generally gentle (15 – 20 o ), along<br />

which the highway was constructed. The valley<br />

is with permanent stream flow, collecting water<br />

from the very wide drainages basin to the north<br />

and north-east of the site, down from the site. the<br />

stream opens to a wide cultivated planes and<br />

hills.<br />

SE NW<br />

Fig. (2): Derbandi Gomasbpan dam site, view from the upstream.<br />

Geologically the dam site is located on the<br />

southern limb of the Pirmam Anticline, the Pila<br />

Spi Limestone forms the highest ridges in the<br />

area and consists of resistant limestone beds,<br />

their thicknesses range between 0.3 to 2 m, the<br />

thickest beds are at the lower part, and all are<br />

dipping 25 to 30 o toward the Southwest. This<br />

study was restricted on the best exposure at the<br />

lower part (lithostratigraphically) of Pila Spi<br />

Limestone (about 10 to 15 m in thichness). The<br />

rock at this exposure was mostly, expected to be<br />

the dam foundation as well as the abutments,<br />

therefore, samples were taken from this<br />

limestone for the laboratory tests and the results<br />

were evaluated. The upper part of the exposure<br />

is thinly bedded and highly fractured so, it would<br />

be removed. The output of the qualitative<br />

classifications of the intact rocks and their<br />

masses from their properties and indexes could<br />

be considered during the planning, design and<br />

construction of the Derbandi Gomasbpan Dam.<br />

Pila Spi Limestone is underlained,<br />

predominantly, by clastic rocks of Gercus and<br />

Kolosh formations. These rocks are<br />

lithologically, feasible and consist mainly of<br />

shales which are extensively exposed at the dam<br />

site and all over the drainage basin. These rocks<br />

are relatively, soft and lower in rock mass<br />

strength and durability than the Pila Spi<br />

Limestone above. Parts of the Gercus and<br />

Kolosh rocks are expected to be submerged by<br />

the reservoir water of the future dam and the<br />

rock slopes toward the lake expected to be<br />

unstable due to rising and lowering of the water<br />

level in the reservoir. These rocks were<br />

classified based on their physical and<br />

mechanical properties including, slake durability<br />

indexes and shale rating values. The study of<br />

the slopes stability and durability of the shale<br />

and other soft rocks at the proposed dam site and<br />

along the valley sides were carried out from their<br />

slake durability indexes and rating. A correlation<br />

between shale rating values and the slopes<br />

amounts of the dam embankments of a certain<br />

heights was performed, as well as between the<br />

shale rating values and the required compaction


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

field density and lift thickness for the dam<br />

embankments in case when such materials are<br />

mechanically reliable and needed.<br />

2. MATERIAL AND METHODS<br />

Derbendi Gomasbpan was chosen for the<br />

dam site based on the available ground<br />

conditions required for a dam construction in<br />

this site, including, the geomorphological<br />

characteristics, permanent water flow and over<br />

all, the engineering geological properties of the<br />

rocks which include, the rock types, their<br />

structural features and their physical and<br />

mechanical characteristics. The study of these<br />

properties is required during the planning and<br />

designing of the dam foundation and abutments<br />

as well as for the stability of the dam<br />

embankments and the slopes around the<br />

reservoir.<br />

This study started with the site investigation<br />

for the dam site and surrounding area, The<br />

general information about the physiography, the<br />

lithostratigraphy, the surface water flow and the<br />

geologic structures such as the attitude of strata,<br />

their thicknesses, discontinuities characteristics<br />

and others were collected. Rock sampling from<br />

the proposed dam site was also carried out<br />

during this stage of work. Figures (3) and (7).<br />

Sixteen rock samples were taken from the<br />

Pila Spi dolomitic limestone for the laboratory<br />

testing, most of them were tested directly in the<br />

field, Figure (4). This rock was considered to be<br />

designed for the dam foundation and its<br />

abutments., The dolomitic limestone samples<br />

were tested for their strength indexes using the<br />

point load strength test device, Broch, E and J.A.<br />

Franklin, (1972), Figure (4). The point load<br />

strength index (Is) of each tested sample, was<br />

corrected (Is50) to the size of 50 mm diameter by<br />

using the correction factor f = (D/50) 0.45 ,then<br />

(Is50) = f x (P/D 2 ), were: P = the applied load<br />

in Newtons, and D = the distance between the<br />

load points in mm, and (P/D 2 )= Is<br />

The resulted values were determined and<br />

later on converted to unconfined compressive<br />

strength (UCS), using the equation adapted by<br />

D’ Andrea et, al., (1965). The tangent modulus<br />

of elasticity ( Et50) was also determined using the<br />

equation adapted by Irfan T.Y. and Dearman W.<br />

R. (1978), as following:<br />

UCS = 15.296 x Is50 + 16.375<br />

Et 50 = ( 0.588 x Is50 + 0.084 ) x 10 4<br />

The results of the point load strength tests<br />

and the other engineering properties of the<br />

dolomitic limestone are listed in table (1). The<br />

joints spacing range ( the range of distances in<br />

cm between two parallel and adjacent planes of<br />

joints of any set or orientation. ) was the only<br />

joint characteristic used and needed in this study.<br />

Each of these 16 joint spacing ranges, showing<br />

on the table (1), was taken within a square meter<br />

of the surface area of each specific location or<br />

spot on the outcrop, Palmstron, A., (1982), at<br />

which the rock sample was taken from and the<br />

procedure was integrated for the whole<br />

exposure.. The range values of these spacing in<br />

each specific sampled location might be close in<br />

the range values to that of the next spot<br />

locations.<br />

NE SW<br />

Fig. (3): The bedding attitude & Discontinuities of the Pila Spi Limestone at the dam site.<br />

04


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

04<br />

Fig. (4): Point – load test, Broch, E and J.A. Franklin, (1972).<br />

The dolomitic limestone, as an intact rock<br />

was classified for their engineering mechanical<br />

properties including, strength, tangent modulus<br />

of elasticity ( stiffness ) and Modulus ratio Et/σc<br />

Sample<br />

No.<br />

(MR), using Deere D.U. and Miller R.P.,(1966)<br />

method of intact rock classifications,,<br />

Figure (5).<br />

Table (1): Point-load test results of the Pila Spi limestone intact rock.<br />

Joint Spacing<br />

(Cm).<br />

Point L. Strength.<br />

Index (Is50) ( MPa)<br />

UCS (σc )<br />

( MPa)<br />

* Modulus- ratio numbers are rounded .<br />

Et50<br />

(MPa)<br />

Modulus<br />

Ratio*<br />

1 30 - 70 3.636 71.991 2.222 x10 4 308.6 : 1<br />

2 50 - 75 8.089 140.104 4.840 x10 4 345.5 : 1<br />

3 55 - 110 6.289 112.572 3.782 x10 4 336.0 : 1<br />

4 35 - 95 4.344 82.821 2.638 x10 4 318.5 : 1<br />

5 40 - 70 4.101 79.104 2.495 x10 4 315.4 : 1<br />

6 45 - 80 5.554 101.329 3.350 x10 4 330.6 : 1<br />

7 40 - 130 8.125 140.655 4.862 x10 4 345.7 : 1<br />

8 50 -110 4.904 91.387 2.968 x10 4 324.8 : 1<br />

9 20 - 60 4.148 79.822 2.523 x10 4 316.1: 1<br />

10 50- 110 4.126 79.486 2.510 x10 4 315.8 : 1<br />

11 80 - 120 7.633 133.129 4.572 x10 4 343.4 : 1<br />

12 30 - 115 7.074 124.578 4.244 x10 4 340.7 : 1<br />

13 30 - 70 5.360 98.362 3.236 x10 4 329.0 : 1<br />

14 40 - 110 6.525 116.181 3.921 x10 4 337.5 : 1<br />

15 60 - 110 5.200 95.914 3.142 x10 4 327.6 : 1<br />

16 60 - 150 7.512 131.279 4.501x10 4 342.9 : 1


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

The unconfined compressive strength was<br />

used along with the joint spacing of the rock<br />

mass, measured in the field, to determine the<br />

mechanical and the quality of the rock-mass<br />

using the Z. T. Bieniwaski’s rock mass<br />

classification diagram, (1974), Figure (6), on<br />

which all data were plotted. The cohesion and<br />

the angle of internal friction of the rocks were<br />

also determined from the diagram.<br />

There were six weathered rock zones, 40 to<br />

80 cm in thicknesses with very close fracture<br />

spacing existed within the upper part of the Pila<br />

Fig. (5): Intact-rock modulus ratio, Deere and Miller Diagram, (1966).<br />

Spi Dolomitic Limestone, Figure (3). These<br />

weathered rock zones would affect the overall<br />

quality of the rock at the abutments of the<br />

proposed dam, so that, specific geotechnical<br />

engineering measures are necessary to deal with<br />

this case.<br />

The above properties of the dolomitic<br />

limestone, all together, are to be evaluated<br />

qualitatively for the design of the dam<br />

foundation, the abutments and for uses as a<br />

construction materials, depending on the type of<br />

the dam to be constructed.<br />

Fig. (6): Rock mass classification diagram, Z.T. Bieniwaski, (1974)<br />

09


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

Fourteen samples were taken from the existed<br />

Gercus and Kolosh shale and others miner<br />

degradable or nondurable rocks of claystone and<br />

siltstone. Shale and these soft rocks are exposed<br />

widely, along the valley sides, and at the dam<br />

site. Sampling started from the dam site and<br />

outward to the direction of upstream, within<br />

300m distance. Samples were collected at equal<br />

intervals and from the best available rock<br />

exposures Figure (7). These samples were taken<br />

with their natural water contents preserved and<br />

sent to the laboratory for their slake durability<br />

00<br />

Fig. (7): Red Shale of Gercus Formation.<br />

Fig. (8): Lab samples and equipments used for testing.<br />

index test, Figures (8) and (9). This test has been<br />

chosen based on the fact that shale is particularly<br />

variable material and behave quite differently in<br />

engineering works. The key performance<br />

variable for shale is their rate of breakdown<br />

during wetting and drying and the slake<br />

durability of the shale is its resistance to such<br />

process. The devise used to measure this<br />

property is the slake durability devise, adopted<br />

by International society of rock mechanic, (<br />

ISRM. (1979b) and Figure (9).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

Each of these 14 samples were tested and<br />

subjected to two cycles of slaking, the slake<br />

durability index (Id2 % ) of the second-cycle was<br />

calculated as:<br />

Weight of shale remaining inside drum<br />

Original weight of sample .<br />

Fig. (9): Slake durability test.<br />

x 100<br />

The soil-like shale (rocks that disintegrated<br />

through slaking) with slake durability indexes of<br />

less than 80% were then further characterized by<br />

measuring the plasticity index of fragments<br />

passing through the slake drum mesh, Lama and<br />

Vutukuri, (1978). While the rocks-like shale<br />

with slake durability indexes greater than 80%<br />

Table (2): Two cycles slake-durability (Id2) classification,<br />

ASTM. (1992) and others.<br />

Slake Durability, (Id2) % Classification<br />

00 -30<br />

30-60<br />

60- 85<br />

85- 95<br />

95- 98<br />

98-100<br />

The second-cycle was considered for the<br />

classification purposes. The results were firstly,<br />

classified qualitatively using the following<br />

classification method, adopted by the Geological<br />

Society, (1977); ISRM, (1979b), Franklin J.A.<br />

(1981) , ASTM, D-4644-87. (1992), Table (2).<br />

Very low<br />

Low<br />

Medium<br />

Medium to high<br />

High<br />

Very high<br />

were tested to determine their strength using<br />

point load strength index ( Is50) test, the result<br />

data are shown in table (3). The test was<br />

conducted on shale at natural water content and<br />

the load applied perpendicular to the bedding<br />

when tested for its strength.<br />

04


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

Sample<br />

Number<br />

The results of the lab tests were plotted on the<br />

Franklin Shale Rating System, modified from<br />

the original system adopted by Okland and<br />

Lovell, (1985), Figure (10), to determine the<br />

corresponding rating values ( Rs ) for each<br />

sample. The shale rating values obtained was<br />

04<br />

Slake Durability<br />

Index Id2 %<br />

Table (3): Results of shale lab-tests.<br />

P.L. Str.<br />

Index<br />

Is50 MPa<br />

Liquid limit<br />

used to derive a number of slope design<br />

parameters, from the correlation between shale<br />

rating and parameters relating to the stability of<br />

shale forming slopes of the dam embankment<br />

and of the area.<br />

Fig. (10): Modified Franklin Shale Rating System ( Okland and Lovell. (1985<br />

%<br />

Plastic<br />

Limit %<br />

Plasticity<br />

Index %<br />

Shale<br />

Rating Rs<br />

1 98.9 very high 1.818 _ _ _ C 7.60<br />

2 91.2 medium-high 0.505 _ _ _ B 5.85<br />

3 6.3 very low _ 84 54 30 A 1.40<br />

4 90.4 medium-high 0.394 _ _ _ B 5.90<br />

5 95.6 high 0.61 _ _ _ C 6.50<br />

6 97.6 high 1.113 _ _ _ C 7.00<br />

7 21.6 very low _ 73 41 32 A 1.35<br />

8 39.5 low _ 79 43 36 A 1.70<br />

9 92.3 medium-high 0.601 _ _ _ C 6.25<br />

10 94.9 medium-high 0.528 _ _ _ C 6.40<br />

11 93.3 medium-high 0.344 _ _ _ B 6.05<br />

12 83.4 medium 0.283 _ _ _ B 4.85<br />

13 87.7 medium-high 0.183 _ _ _ B 5.30<br />

14 92.6 medium-high 0.199 _ _ _ B 5.85


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

Shale rating values obtained were used<br />

specifically, to derive parameters for damembankment<br />

slope design and their stability,<br />

which include an estimate of allowable slope<br />

angle for the embankment heights as a function<br />

of shale rating, Figure (11). Shale rating was<br />

also used to estimate the allowable lift<br />

thicknesses when compacted and eventually, to<br />

develop the required compaction densities, their<br />

relationships are shown in Figure (12). This will<br />

help to find out a control procedure for<br />

nondurable shale before starting of the major<br />

earthwork.<br />

Fig (11): Embankment slope angle as a function of embankment height and shale rating.<br />

( modified from Franklin. 1981 )<br />

Fig. (12): Tentative correlations among shale Rating, lift thicknesses and<br />

Compacted-shale densities ( modified from Franklin, 1981 ).<br />

04


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

04<br />

Sample groups Shale rating<br />

A<br />

3, 7, 8<br />

B<br />

2,4,5,12,<br />

13,14<br />

C 1,6,9,10,11<br />

1.35–<br />

1.70<br />

4. 85–<br />

5.80<br />

6. 25–<br />

7. 60<br />

3. ANALYSIS OF RESULTS<br />

Table (4): Performance parameters and data results.<br />

Embankment<br />

height<br />

(m)<br />

The results of the field work show that the<br />

different thicknesses of the dolomitic-limestone<br />

beds which are forming the lower part of the Pila<br />

Spi Formation at the dam site range from 0.5 to<br />

2 m, decrease upward with some weathered<br />

zones intervals. The dip angles of the beds range<br />

from 25 to 35 o toward the Southwest, same as<br />

the down stream direction, structurally, this type<br />

of ,rock with such properties can be considered<br />

as a positive aspect for the evaluation of the dam<br />

foundation and abutments.<br />

The results of the laboratory tests of Pila Spi<br />

Dolomitic Limestone samples, listed in Table<br />

(1), show that the unconfined compressive<br />

strength of the intact rocks ranges from 71.99 to<br />

140.60MPa which can be classified as medium<br />

to high in strength. The tangent modulus of<br />

deformation ( Et50) ranges from 2.11x10 4 to<br />

4.84x10 4 MPa and can be classified as medium in<br />

stiffness to stiff, while the modulus ratio (MR)<br />

ranges from 293 : 1 to 340 : 1, and mainly,<br />

classified as medium modulus ratio, Figure (5).<br />

Hint: The chalky limestone was not developed<br />

within the Pila Spi Formation at this dam site.<br />

The discontinuities in the rock mass are<br />

mostly bedding planes. The rock mass strength<br />

was classified, based on Z.T. Bieniawski’s<br />

strength classification diagram, (1974), Figure<br />

(6), as strong rock mass, cohesion (c) of the rock<br />

is between 200 to 300KPa, average 250KPa,<br />

the angle of the internal friction (Ø) ranges from<br />

40 – 45 o , average is 42.5 o . and the average wet<br />

density of the Pila Spi Dolomitic tested in the<br />

laboratory is 2.7 gm/cm 3 . The rock mass<br />

properties and the obtained data all together<br />

could be evaluated qualitatively, for the type and<br />

design of the dam foundation and the abutments<br />

as well as for their behavior during the stages of<br />

15<br />

15<br />

15<br />

Slope<br />

angle. (deg).<br />

7.5 - 15<br />

15 - 22<br />

22 - 26<br />

Lift thickness<br />

(m).<br />

0.22 – 0.28<br />

0.40 – 0.78<br />

0.54 - 0.77<br />

Compacted field<br />

density (Ton/m 3 )<br />

1.67 – 1.90<br />

1.95 - 2.35<br />

1.76 – 2.25<br />

the construction, depending on the type of the<br />

dam.<br />

The slake durability-index (Id2) values of 3<br />

samples ( # 3, 7, and 8 of group A) from the total<br />

of 14 tested samples that were taken from the<br />

shale of Gercus and Kolosh Formations are 6.3,<br />

21.6 and 39.5% respectively, and classified as<br />

low to very low, Table (2). The plasticity<br />

indexes of these samples range from 30 to 36%,<br />

these results give very low shale rating (Rs)<br />

(1.35. 1.40 and 1.70) on the shale rating system,<br />

Figure (10). The first sample was taken from the<br />

upper part of Gercus Formation, while the 2nd<br />

sample was taken from area closes to the middle<br />

part of the this formation while the third sample<br />

was taken from the upper most part of the<br />

Kolosh Formation. Therefore, the rock zones or<br />

intervals from which these three samples<br />

represent are to be considered eventually, as very<br />

unstable and deformable in behavior in terms of<br />

slake durability. The slake durability- index (Id2)<br />

values of all other tested samples ( group B & C<br />

) are variable, ranged between 83.4 to 98.9%<br />

and were classified as medium to very high, and<br />

their corresponding shale rating values (Rs )<br />

range from 4.85 to 7. 60 on the shale rating<br />

system diagram.<br />

The evaluation of the shale-rating results for<br />

the estimation of allowable slope angle of the<br />

shale for the dam-embankment of a certain<br />

height (built from that shale) as a function of Rs<br />

was determined. For 15m embankment height,<br />

for example, the slope angle as well as the lift<br />

thickness and the corresponding shale<br />

compaction for the embankment in terms of<br />

shale rating for the shale represented by each<br />

group of samples tested are shown in Figure (11)<br />

and table (4).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

4. CONCLUSIONS<br />

As a result of the study and analysis<br />

conducted, the following conclusions are<br />

reached:<br />

1- Based on the site investigation, the existed<br />

rocks at the Derbandi Gomaspan suggested damsite<br />

are generally of two different types:<br />

The dolomitic limestone at the dam site is<br />

underlain by red to dark bluish shale-beds. The<br />

dolomitic limestone is the most resistant and<br />

stable rock, forming a narrow path (gully) with<br />

permanent stream flow. The mechanical<br />

properties of the intact dolomitic limestone<br />

characterize with medium to high in strength,<br />

medium stiffness to stiff in tangent modulus of<br />

elasticity and medium in modulus ratio. The<br />

discontinuities in the dolomitic limestone are<br />

mainly bedding planes with strong engineering<br />

rock mass, cohesion ranges from 200 to 300KPa,<br />

and the angle of the internal friction ranges from<br />

40 – 45 o . These physical and mechanical<br />

properties are proper for the dolomitic limestone<br />

to be used as the dam foundation<br />

2- The slake durability index ( Id2) of about 3/4<br />

of the total number of tested samples taken from<br />

the existed shale and other soft rocks at the dam<br />

site was classified as medium to very high, and<br />

the corresponding shale rating ranges from 4.85<br />

to 7.6. The other 1/ 4 of the number of the tested<br />

samples are with very low slake durability index,<br />

and their shale rating ranges from 1.35 to 1.70<br />

respectively. The rock zones or intervals,<br />

represented by the last 1/4 of the samples should<br />

be considered specifically, unstable with respect<br />

to the slake durability and rating, eventually the<br />

slopes of such rocks toward the lake would be<br />

unstable when the water level in the lake<br />

fluctuated.<br />

3- The shale rating obtained was evaluated for<br />

the estimation of allowable slope angle of the<br />

dam embankment at any height, as well as, for<br />

the estimation of allowable lift thicknesses and<br />

required compaction field density of the shale.<br />

5. RECOMMENDATIONS<br />

1- Additional data from the study area are<br />

required to improve the accuracy of the results<br />

and to expand the information for a better<br />

evaluation of the dam site.<br />

2- Special attention has to be concentrated on<br />

the weathered rock interval at the dam site and<br />

to be studied more quantitatively.<br />

3- The very low and low slake durability of the<br />

shale and other soft rock zones in the site have to<br />

be studied specifically, in detail in terms of<br />

sediment disintegration, transportation and<br />

geotechnical measures to be used to stabilize the<br />

slopes of such rock masses.<br />

REFERENCES<br />

- ASTM, (1992), Standard Test Method for Slake<br />

Durability of Shale and Other Similar Weak<br />

Rock ASTM Designation D-4644-87. In ASTM,<br />

Book of Standards, Vol. 4.08, Soil & Rock;<br />

Dimension Stone; Geosynthetics, ASTM,<br />

Philadelphia, Pa., pp., 951 -953.<br />

- Bieniwaski, Z. T., (1974) “Estimating the Strength of<br />

Rock Materials”. J.S. Afr. Inst. Min. Mettal. 74 (8)<br />

pp. 312-320.<br />

- Broch, E. and J. A. Franklin., (1972) “The Point-Load<br />

Strength Test” International Journal of Rock<br />

Mechanics and Mining Sciences. V.9, PP. 669-697.<br />

- D’Andrea, D.V., Fischer, R. L., Fogelson D. E., (1965):<br />

Prediction of Compressive Strength of rock<br />

from other properties. U.S. Bur. Mines Rep. Invest,<br />

6702.<br />

- Deere, D. U. And Miller R.P., (1966), Engineering<br />

Classification And Index Properties for Intact<br />

Rock, Technical Report. No. AFNL-TR-65-116,<br />

University of Illinois, Urbana, 299 pp.<br />

- Franklin, J. A., (1981), A Shale Rating System and<br />

Tentative Application to Shale Performance. In<br />

transportation Research Record 790, TRB,<br />

National Research Council, Washington, D.C.,<br />

pp. 2-12.<br />

- Geological Society, (1977), The description of rock<br />

masses for engineering purposes: Geol.Soc.<br />

(London ) Eng. Group Working Party, Q. J. Eng.<br />

Geol. Vol.10, pp. 355-388.<br />

- Irfan, T, Y., and Dearman, W. R., (1978), Engineering<br />

classification and index properties of a weathered<br />

granite., Bull., Intl. Assoc. of Engineering<br />

Geology., No.17, pp., 79 – 90.<br />

- ISRM, (1979b), Suggested methods for determining<br />

water content, porosity, density, absorption and<br />

related properties and swelling and slake<br />

durability index properties. Intl. Soc. Rock Mech.<br />

Comm. On Standardization of Laboratory and<br />

field Tests, Intl. J. Rock mech. Min. Sci. &<br />

Geomech. Abstr., Vol. 16, pp. 141 – 156.<br />

- Lama, R. D. and Vutukuri, V.S., (1978), Hand book<br />

on Mechanical Properties of Rocks -Testing<br />

Techniques and results: Volume IV, Transactions,<br />

Technical Publications. Pp. 78 – 96.<br />

- Okland, M. And Lovel C. W., (1985), “ Building<br />

Embankments with Shale” 26 th U.S. Symposium<br />

on Rock Mechanics. Rapid City, SD, pp. 305-312.<br />

- Palmstrom, A., (1982), “ The Volumetric Joint Count----<br />

- a Useful and Simple Measure of the Degree of<br />

Rock Jointing.” Proc. 4 th Int. Congr. Int. Assoc.<br />

Eng. Geol, Delhi. Vol, 5, pp, 221-228.<br />

03


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

نَيوﻪﺌ<br />

ارﻪﺑ<br />

نَيي ىيﻩزاذنﻪﺌ<br />

ﻪ<br />

44<br />

اات ىركاش اانركاﭭائ<br />

وب شاب َىي<br />

ﻪﺘﺨﻮﭙ<br />

ﻥﻳﺗﻪﻟﺧ<br />

َ اش و ىدرةئ نَييﻪﺗاهكَيﭙ<br />

َىتشورش و خودراب ب ﻪﻳذنﻩويﻪﭘ<br />

ﻪﻧﻳﻟوكﻪﭭ<br />

ڤﻪﺌ<br />

ک ﻪهج<br />

وكﻩو<br />

نيﻪﻫ<br />

) نايسموك َلىﻩوگ<br />

( نايسموك َىذنﻩﺑرﻩد<br />

َىهجﻠ<br />

نَيا ﻪﻟﺧااش<br />

و ىايﻩزاذانﻪﺌ<br />

نَياي ىرواج نَينراك الوﭙ<br />

رﻪﺴﻟ<br />

تﻪﮐد<br />

َىنرككابود ﻪﻧﻳﻟوكﻪﭭ<br />

ڨﻪﺌ<br />

. نركراينشَيﭘ<br />

و ىركش وب ت اينب ﻪﻧﻳﺑد<br />

نَيوﻪﺌ<br />

ناصيد . نيوب تشورد َىهج ََىﭭﻪﺌ<br />

َ<br />

نَيوﻪﺌ<br />

، ارﻪﺑ<br />

نَيي<br />

)<br />

Indexes<br />

(<br />

ﻪﻳﻪﻫ<br />

ﻪﻴﺴﮐﺪﻧﻹٲ<br />

و َىانركاﭬائ<br />

َىمﻩد<br />

ل ىركش َىيتاﭬائ<br />

انركاﭬائ<br />

وبﮊ<br />

ﻪتشﻩرﻪﮐ<br />

وكﻩو<br />

. ىﻪﻫ<br />

نَيصَيﭬﻧرﻪﺴ<br />

نَييﻪﻳﺗاهكَيﭘ<br />

فاند ﻪﻧﺟد<br />

ب ناَيوﻪﺌ<br />

)<br />

limestone<br />

(<br />

ﻪﻳيرلجا<br />

( نَيرﻪﺑ<br />

نَيروج ﮊ كَيئ وك ) بيشلايبلا ( نَيرﻪﺑ<br />

نَييﻪﺗاهكَيﭘ<br />

. َىنركاﭬائ<br />

ىتشﭘ<br />

رﻪﺳﻟ<br />

ىيزاذانﻪﺌ<br />

نَياي َىو نَيا ﻪﻟﺧاش<br />

َىيلاﮊ<br />

ادوج َىكﻪﮔﻧﻩر<br />

وب لوكﻪﭬ<br />

. نيﻪﻫ<br />

ىركش َىهج ل نزﻪﻣ<br />

َىكﻩوَيش<br />

ناد وبﮊ<br />

َىووداي . اد َىتﻪﮔ<br />

اتﻪﭬ<br />

تشﻩد<br />

ب ناسَيﭘ<br />

نَيمانجﻪﺌ<br />

. ىكيناكيم و ةيكينك ويج اتﻪﮔﻳﻗا<br />

نَينركيقا لﻪﮐد<br />

. نركﻪتَيتد<br />

قا د ةنوونم وكﻩو<br />

كَيئ . نانيئراكب ةن اتارﻪﺑ<br />

ناﭬﻪﺌ<br />

نَيﻳ<br />

ىﻩزاذنﻪﺌ<br />

نَيي ىروج نَينرك لوﭘ<br />

انانَيﭘ<br />

ىروج و ىتشﮔاي<br />

ىيﻩزاذنةئ<br />

انرك لوﭘ<br />

وك ) نذناﭘﺳﻪﭼ(<br />

ىركرايد نَيمانجﻪﺌ<br />

ىناتصيبل ىتشﮔ<br />

َىكﻩوَيش<br />

ب رﻪﺑ<br />

وكﻩو<br />

َىاي ىاتاﭬاائ<br />

اشَيك نزﻪﻣ<br />

نَيناتشةﭘ<br />

رﻪﺑﻣارﻪﺑ<br />

ل ىﻪﻫاي<br />

شاب اكﻪﻳ<br />

دﻳﮔرﻪﺑ<br />

و نقﻩرد<br />

( ناَيرﻪﺑ<br />

نَيايﻪﺗااهكَيﭘ<br />

ﻩرﻪﺑ<br />

ﭫﻪﺋ . ارﻪﺑ<br />

ﻦاﭬﻪﺌ<br />

. ىركاشوب تااينب وكﻩو<br />

نشابدوك نذناﮔﻧةصلﻪﻫ<br />

ةن اترﻪﺑ<br />

ﭬﻪﺌ تيباوﻪﭼ<br />

رﻪﻫ<br />

َىركاش َىاهج ل ﻪﻫ ﻩرافرﻪﺑ<br />

َىاكﻪﻳﻩوَيش<br />

ب َىي ) shale ( ) حفطلا ( َىروج ﮊ نَيوﻪﺌ<br />

. ﻯﺭﻜﺴ اﺯۄﻪﺤ<br />

اﺭﻪﭬﻩﺩﻟ<br />

نَيي<br />

ىركش<br />

) شولوكلا ( و ) سكريجلا<br />

) eganiard basin ( تايﭼد<br />

َىﭬاائ<br />

اﻳ<br />

ﻪﭬرﻪﺳ<br />

اانانَيترﻩد<br />

ناَير ﻪﭬﻩد<br />

ل و ىركرايناشَيﭘ<br />

ێﻧﻳﺭﻩۄﻟﻪﻫ<br />

ﺭﻪﺳﻟ ێﺭﻳﮔﺭﻪﺑ<br />

ێﺭﻩدﻧاﺷﻳﻧ<br />

اﻧﺭﻜﺗاﭘۄدﺐ<br />

. ﻥﺭﻜ ﻪﺗﻳﻫد<br />

ێۄاﻳﻧﻳﻟۄﻜﻪﭭ<br />

اﻜﻳﻧﻜﺗۄﻳﺟ<br />

ێﻳﻼﮊ<br />

اﺴﻩۄﺭﻪﻫ<br />

و َىانيرﻩوالﻪﻫﻫ<br />

ايرﻳﮔرﻪﺑ<br />

وك ركرايد َىتﻪﮔﻳﻗا<br />

نَيمانجﺌوئ<br />

ﺐ ﻦﺩﻧاﮕﻧﻪﺳﻟﻪﻫ<br />

ﻪﻧﺗاﻫ<br />

ﻰﻧﻳﺭﻩﻭﻟﻪﻫ ﻦﻳﻳ<br />

ﻯاركَي<br />

نَيمانجﻪﺌ<br />

. ةزاولا اﻳ<br />

) rating ( َىو نَيي ىياركَي<br />

ناﭬﮊ<br />

) embankments ( ىركاش نَياخﻩر<br />

ودرﻪﻫ<br />

اﻳﭬﻳﺸﻳﻧرﻪﺳ<br />

ىﮊ<br />

ناوﮊ<br />

اﻴﭬﺸﻴﻧﺭﻪﺴ<br />

و<br />

) etgainknud ekald(<br />

ارﻪﺑ<br />

ناﭬﮊ<br />

كﻩذنت<br />

وب َىو نَيي ﻯاركَي<br />

ﻦﻴﺸ<br />

ۄﮔ اﻧاﻧاﺩاﻫﺑ<br />

اﻤﻩﺭﻪﻤ<br />

اكﻪبجﻩو<br />

رﻪﻫ<br />

وب ناوﻩر<br />

اي اريوتش اناناد اهب اشﻩورﻪﻫ<br />

َىنيرﻩولﻪﻫ<br />

نَيي ىياركَي رﻪﺴﻟ<br />

ذنﻪﺑاﭘ<br />

وكﻩو<br />

وب راﻳد<br />

ارﻪﺑ<br />

وكﻩوﺭﻪﻫ<br />

َىو َىرﻪب<br />

انركﻩذَيز<br />

امﻩرﻪﻤ<br />

ب ) compaction ( َىوايةدار نير مَيك ۄ ) ححفط ( ﮊ ) lift ( انيشوﭘاد<br />

.<br />

َىيشَيﭘ<br />

ل ناناداهب ةي ات


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 39-51, 2011<br />

) نابزموك يداو(<br />

نابزموكيدنبرد عقوم يف ةدجاوتملا روخﺼلل ةيسدنهلا صاوخلا و ضرلاا فورظب قلعتت ةساردلا هذى<br />

صاوخلا و ةيسدنهلا ةيعونلا تافينﺼتلا نأ تدكا ةساردلا هذى<br />

وﺼﻼﺧلﺍ<br />

. دسلا ءانبل ابسانم اعقوم نوكي<br />

يكل وحارتقا مت يذلا<br />

تارادحنلاا بيكرت يف لﺧدت و دسلل ساسلاا ن َ وكي يتلا و عقوملا اذى يف تنوكت يتلا روخﺼلل<br />

يف ريبك لكشب ةدجاوتملا<br />

) Limestone(<br />

) Index(<br />

ةلﺍﺩلﺍ<br />

. ءاشنلاا دعب و ءانثا دسلا مسج ءانبل داومك و ةدجاوتملا<br />

ةيريجلا روخﺼلا عاونا ىدحا يى يتلا و يبسﻼيبلا<br />

روخص تانيوكت نا<br />

ةيكينكتويجلا ةيربتخملا تاصوحفلا عم ةيسدنهلا اهصاوﺧ ثيح نم يئانثتسا لكشب ﻝفسﺃلﺃ ﺀﺯجلﺃ ةسارد<br />

مت دسلا عقوم<br />

يف جذومنك لاوأ روخﺼلا هذهل ةيسدنهلا<br />

ةيعونلا تافينﺼت رارقلا ةلﺼحتسملا تانايبلا جئاتن تلمعتسا و . ةيكيناكيملا و<br />

وى روخﺼلا هذهل يعونلا و ماعلا يسدنهلا فينﺼتلا نأب تتبثا جئاتنلا نا و لقحلا يف ماع لكشب رخﺼك ايناث و ربتخملا<br />

ةبسانم اهنأب روخﺼلا هذى مييقت مت لاحلا ةعيبطب و ،دسلا مسج نزو نم ةريبكلا طوغضلل ةديج ةمواقم وذ و ةدلص اهنا<br />

يف عساو لكشب ةدجاوتم ) Shale(<br />

حفطلا عون نم يى يتلا و شولوكلا و سكريجلا روخص تانيوكت نا . دسلل<br />

مت ،دسلا ضوح ةقطنم يف<br />

و<br />

) Drainage Basin(<br />

) Slake Durability﴿تتفتلا<br />

ىلع ةمواقملا<br />

تارشؤم ىلع<br />

ساسأك<br />

ةيراجلا هايملل ةيحطسلا ةيفيرﺼتلا قطانملا يف و حرتقملا دسلا عقوم<br />

ادكؤم ةيكينكتويجلا ةيحانلا نم اضيأ اهتسارد<br />

مييقت مت و ةفيعض روخﺼلا هذى ضعبل اهتلادعم و تتفتلا ةمواقم نأب ةيربتخملا جئاتنلا تتبثا و<br />

نم تينب اذا ) Embankments(<br />

ىلع حفطلا نم<br />

) Lift(<br />

. ) gnitaR(<br />

اهتلادعم<br />

دسلا يبناج رادحنا اهنمض نم تارادحنلاا اياوز تاريدقت ضرغل تتفتلا تلادعم جئاتن<br />

ءاطغ ةبجو لكل بسانملا كمسلا ريدقت كلذك و ،تتفتلا تلادعم ىلع ةلادك<br />

روخﺼلا هذى<br />

.<br />

اقبسم اىريدقت كلذك و اهتفاثك ةدايز ضرغل ) Compaction(<br />

اهلدح لبق ينبملا حطسلا<br />

44


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 52-57, 2011<br />

52<br />

SPECTOPHOTOMETRIC DETERMINATION OF PARACETAMOLE VIA<br />

OXIDATIVE COUPLING WITH PHENYLEPHRINE YDROCHLORIDE<br />

IN PHARMACEUTICAL PREPARATIONS<br />

FIRAS MUHSEN AL-ESAWATI * and RAEED MEGEED QADIR **<br />

* Dept. of Chemistry, Faculty of Science, University of Zakho, Kurdistan Region-Iraq<br />

** Dept. of Chemistry, Faculty of Science, University of Duhok, Kurdistan Region-Iraq<br />

(Received: June 3, 2010; Accepted for publication: February 2, 2011)<br />

ABSTRACT<br />

A new, simple, rapid and sensitive spectrophotometric method was described in the present study for the indirect<br />

determination of paracetamol. The method is based on the oxidative coupling reaction of paracetamol ( after acidic<br />

hydrolysis to form p-aminophenol) with phenylephrine hydrochloride using atmospheric oxygen as an oxidant in<br />

alkaline medium to form a water soluble, stable indophenol dye and has a maximum absorption at 640 nm. Beer’s law<br />

is obeyed in a concentration range of 0.5-24 µg. mL -1 of paracetamol with a molar absorptivity of 7664 L.mol -1 .cm -1 ,<br />

the accuracy is 98.86% and the relative standard deviation was less than 1.88% depending on the concentration levels.<br />

The proposed method has been applied successfully for the determination of paracetamol in some pharmaceutical<br />

preparations.<br />

KEYWORDRS: Spectrophotometric, Oxidative Coupling, Paracetamol.<br />

P<br />

INTRODUCTION<br />

aracetamol(N-acetyl-p-aminophenol;<br />

PCT) is a common analgesic and<br />

antipyretic drug that is used for the relief of<br />

fever, headaches and other minor aches and<br />

pains (1) .<br />

Various methods have been described for<br />

determination of paracetamol included<br />

chromatographic (2-8) , electrochemical (9-13) and<br />

(14-18)<br />

Spectrophotometric techniques. Ratio<br />

Spectra First-Order Derivative UV<br />

(19)<br />

Spectrophotometry , and Artificial Neural<br />

Networks (ANN) (20) , also has been employed<br />

for the spectrophotometric determination of this<br />

drug.<br />

In this paper we describe a simple and<br />

accurate method for rapid indirect<br />

spectrophotometric determination of<br />

paracetamol in pharmaceutical preparations. The<br />

method is based on the reaction of the hydrolysis<br />

protect of PCT to p-aminophenol (abbreviated as<br />

PAP) with phenylephrine hydrochloride in<br />

alkaline medium.<br />

EXPERIMENTAL<br />

1. Apparatus<br />

Shimadzu model (UV-160A) double beam<br />

UV_VIS spectrometer with 1.0 cm matches<br />

silica cells was used to carry out all spectral<br />

measurements.<br />

A electo. mag model (M 96K) water bath,<br />

HANNA model (pH211) microprocessor pHmeter<br />

and model (HF-400) sensitive balance<br />

were used.<br />

2. Reagents<br />

All chemicals used were of analytical reagent<br />

grade standard. PCT was supplied by S.D.I.<br />

(Iraq), PE by S.D.I. (Iraq), Sodium hydroxide by<br />

BDH, Hydrochloric acid by Fluka.<br />

- A stock solution of PCT (1000 µg.mL -1 ) was<br />

prepared by dissolving 0.25gm of pure PCT in<br />

10 ml of ethanol and diluted to 250 ml with<br />

distilled water. 150ml of stock solution of PCT<br />

was mixed with 25ml of hydrochloric acid<br />

(11.8M), an acidic hydrolysis of mixture was<br />

made by rflexation the mixture for one hour.<br />

The mixture cooled and diluted to 250ml with<br />

distilled water to obtain a solution of (600 µg<br />

mL -1 ) of p-aminophenol (PAP). A diluting<br />

concentration of solution were prepared from<br />

the last solution after equivalent the pH of<br />

volume of using concentration before the<br />

dilution to 7 by sodium carbonate (20%) and<br />

then diluted to volume we need.<br />

- Working solution of PE (0.1M) was prepared<br />

by dissolving 5.0917gm in 250ml distilled<br />

water.<br />

- Sodium hydroxide solution (1.0M) was<br />

prepared by dissolving 10gm in 250ml distilled<br />

water.<br />

3. Procedure for indirect determination of<br />

Paracetamol


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 52-57, 2011<br />

Into a series of 25 ml calibrated flask,<br />

increasing volumes of (0.5-6 ml) of PCT (as<br />

PAP) working solution (25 and 100 µg mL -1 )<br />

were transferred to cover the range of the<br />

calibration curve and 7.0 ml of 0.1 M of PE<br />

followed by 1.0 ml of 1.0 M of sodium<br />

hydroxide, the solution was diluted to the mark<br />

with distilled water and allow the reaction<br />

mixture to stand for 10 min. The absorbance was<br />

measured at 640 nm against reagent blank,<br />

prepared in the same way but containing no<br />

PCT. The color of the dye solution was stable<br />

more than 12 hrs.<br />

4. Procedure for Pharmaceuticals<br />

Ten (10) tablets were weighed and powdered<br />

finely. An accurate weight, equivalent to one<br />

tablet, was transferred into a 100ml calibrate<br />

flask, dissolve as completely as possible in<br />

ethanol (10-25ml) and dilute to volume with<br />

distilled water. Filter and prepare solution of<br />

1000µg/ml of PCT from later and treat it as the<br />

same way as mentioned under the general<br />

procedure.<br />

RESULTS AND DISCUSSION<br />

1. Absorption Spectra:<br />

C<br />

The result of this investigation indicated that<br />

the reaction between PCT (as PAP) and PE in<br />

the alkaline medium yield highly soluble colored<br />

condensation product which can be utilized as a<br />

suitable assay procedure for PCT. This blue<br />

colored product showed a maximum absorption<br />

at 640 nm, the blank at this wavelength shows<br />

zero absorbance (Fig. 1).<br />

Fig,(1): Absorption spectrum of (A)<br />

reaction product of PCT (as PAP) 12µg<br />

mL<br />

2. Study of the optimum reaction conditions<br />

The effects of various parameters on the<br />

absorption intensity of the dye were studied and<br />

the reaction conditions were optimized.<br />

2.1-Effect of reagent concentration<br />

Various concentration of PE was added<br />

to a fixed concentration of PCT (as PAP), and<br />

the results shown that 7.0 ml of 0.1 M of reagent<br />

solution was sufficient to develop the color to its<br />

full intensity and give the maximum value of<br />

absorbance with minimum absorbance of blank.<br />

-1 with PE vs. blank. (B) blank vs.<br />

distilled water. (C) reaction product vs.<br />

distilled water.<br />

Table (1): Effect of concentration of reagent<br />

mL, volume of PE (0.1 M) Absorbance<br />

0.1 0.098<br />

5.0 0.158<br />

0.5 0.210<br />

0.5 0.238<br />

4.0 0.387<br />

5.0 0.401<br />

6.0 0.425<br />

7.0 0.431<br />

8.0 0.430<br />

10.0 0.430<br />

2.2-Effect of sodium hydroxide concentration<br />

To establish the optimum conditions (stability of<br />

the dye resulting from the reaction of the PCT<br />

with reagent intensity of the dye formed,<br />

minimum blank value and relatively rapid<br />

reaction rate), the effect of medium of reaction<br />

was studied. Only alkaline medium (1.0M of<br />

sodium hydroxide) was found to be optimum.<br />

Neutral and acidic medium results in low<br />

sensitivity of the color and was not stable. The<br />

effect of the amount of sodium hydroxide was<br />

also investigated and 1.0 ml was found to be<br />

optimal.<br />

Table (2): Effect of sodium hydroxide concentration<br />

mL, volume of NaOH ( 1.0 M) Absorbance<br />

0.1 0.108<br />

0.3 0.189<br />

0.5 0.236<br />

0.7 0.378<br />

0.9 0.422<br />

1.0 0.430<br />

1.5 0.410<br />

2.0 0.402<br />

3.0 0.390<br />

4.0 0.381<br />

5.0 0.377<br />

2.3- Effect of temperature<br />

The effect of temperature on the color<br />

intensity of the dye was studied. In practice the<br />

absorbance was decreased when the color is<br />

developed at 0°C or when the calibrated flask is<br />

placed in a water bath at 40-60°C. Therefore, it<br />

is recommended to undergo the reaction at room<br />

temperature (25°C).<br />

53


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 52-57, 2011<br />

2.4- Effect of time<br />

The color intensity reached maximum after<br />

the PCT solution was reacted in development<br />

54<br />

Temp. (� C)<br />

Table ( 3): Effect of time and temperature<br />

Absorbance/ Minutes standing time<br />

5 10 30 45 1 2<br />

time was selected to be used in the general<br />

proceeds with PE and sodium hydroxide for 10<br />

min.<br />

Absorbance / Hour standing time<br />

4<br />

6 12 Overnight<br />

0 0.387 0.390 0.391 0.390 0.384 0.366 - - - -<br />

Room temp. 0.424 0.431 0.430 0.431 0.429 0.431 0.431 0.430 0.431 0.429<br />

40 0.421 0.420 0.419 0.419 0.418 0.415 0.403 - - -<br />

50 0.411 0.408 0.405 0.403 0.400 0.391 - - - -<br />

60 0.384 0.371 0.345 0.310 0.291 0.276 - - - -<br />

2.5- Accuracy and precision<br />

To determine the accuracy and precision of<br />

the method, PCT (as PAP) was determined at<br />

three different concentrations. The results are<br />

shown in table.1 indicate that satisfactory<br />

precision and accuracy could be attained with<br />

the proposed method.<br />

Table (4): Accuracy and precision of the method.<br />

Paracetamol<br />

taken<br />

µg<br />

Relative error<br />

%*<br />

Relative<br />

standard<br />

deviation%**<br />

4 -0.19 1.27<br />

8 +0.41 0.84<br />

12 +0.33 1.88<br />

* Average of three determinations.<br />

** Average of six determinations<br />

3. Calibration curve<br />

Under the above optimum conditions, the<br />

linear calibration curve (Fig.2) for PCT (as PAP)<br />

is obtained which shows that beer's law is<br />

obeyed over the concentration range of (0.5-24<br />

µg mL -1 ) with correlation coefficient of 0.998<br />

and an intercept of 0.014 and slope of 0.0375 .<br />

the molar absorptivity of the colored product<br />

was 7664 L.mol -1 .cm -1 .<br />

Absorbance<br />

Absorbance<br />

4. The nature of reaction product<br />

The stoichiometry of the reaction between<br />

PCT (as PAP) and PE was investigated using the<br />

molar ratio method (21) Fig (2): Calibration curve for indirect determination of<br />

PCT.<br />

. The results obtained<br />

(Fig.3) shows a 1:1 of the colored product<br />

formed between PCT and PE at 640 nm.<br />

0.35<br />

0.3<br />

0.25<br />

0.2<br />

0.15<br />

0.1<br />

0.05<br />

1.0<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0.0<br />

0.0 5.0 10.0 15.0 20.0 25.0<br />

µg/mL (PCT)<br />

0<br />

0 0.5 1 1.5 2 2.5<br />

Mole Ratio of PE/PCT (as PAP)<br />

Fig (3): Mole ratio of reaction product of PCT<br />

(as PAP)-PE.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 52-57, 2011<br />

5. Proposed reaction mechanism<br />

The acidic hydrolysis of Paracetamol (I) is<br />

formed p-aminophenol (II) which readily<br />

oxidized by atmospheric oxygen to pbenzoquinonimine,<br />

the later couples with<br />

phenylephrine hydrochloride (III) in alkaline<br />

medium to form a water soluble indophenol dye<br />

(IV) which has maximum absorption at 640nm:<br />

OH<br />

NH CH<br />

OH<br />

OH<br />

O<br />

R<br />

CH 3<br />

(I)<br />

+<br />

R= CH-CH 2NHCH 3<br />

OH<br />

NH 2<br />

HCl<br />

OH -<br />

OH<br />

OH<br />

NH 2<br />

H<br />

N<br />

(II)<br />

6. Analysis of Paracetamol in pharmaceutical<br />

preparations<br />

The proposed method was applied<br />

satisfactorily to the indirect determination of<br />

paracetamol in the following pharmaceutical<br />

preparations:<br />

Paracetamol tablets with paracetamol<br />

500mg; from Meheco (China).<br />

Paracetol tablets with paracetamol 500mg;<br />

from S.D.I. (Iraq).<br />

Algesic tablets with paracetamol 350mg,<br />

Codeine phosphate 10mg ; from S.D.I. (Iraq).<br />

Myogesic tablets with paracetamol 450mg,<br />

orphenadrinecitrate 35mg; from Dar-Al-Dawa<br />

(Jordan).<br />

The concentrations of the PCT (as PAP) were<br />

calculated by direct measurements on the<br />

appropriate calibration graph. The results<br />

obtained are summarized in (Table2), and<br />

compared favorably to those reported by Al-<br />

Esawati (22) and the official method(BP) (23) .<br />

OH<br />

(III) (IV)<br />

R<br />

Table 5: Determination of paracetamol in<br />

pharmaceutical preparations<br />

Pharmaceutical<br />

preparation<br />

Paracetamol<br />

tablets<br />

Paracetol<br />

tablets<br />

Label<br />

claim mg<br />

BP<br />

method<br />

Recovery %<br />

Reported<br />

method<br />

Proposed<br />

method<br />

500 98.73 97.97 97.34<br />

500 97.47 98.65 96.92<br />

Algesic tablets 350 97.97 102.20 98.55<br />

Myogesic<br />

tablets<br />

450 98.99 101.81 102.63<br />

CONCLUSIONS<br />

Spectrophotometric procedure is proposed for<br />

the indirect determination of paracetamol in<br />

pharmaceutical preparations. The method is<br />

based on the oxidative coupling reaction of<br />

paracetamol ( after acidic hydrolysis to form paminophenol)<br />

with phenylephrine hydrochloride<br />

using atmospheric oxygen as an oxidant in<br />

alkaline medium to form a water soluble, stable<br />

indophenol dye. The proposed method has been<br />

applied successfully for the determination of<br />

paracetamol in some pharmaceutical<br />

preparations.<br />

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24. “British Pharmacopoeia”, Vol. I, The Stationery<br />

Office, London, p. 1854 (1998).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 52-57, 2011<br />

ةييتاي َىتشث(<br />

ليهظ لةطد َىناسكَوئ اناهيكَيث اكَيلزاك اكَيسب لىوماتيسازاث وب ىطنةبةش َىكندنلامةخ<br />

انامزةد تَينونم ظاند ىديزولكوزدياي ويسظ<br />

لىوماتيسازاث اي زةسكيئ ةن اي ىطنةبةش اَييسب اندنلامةخ، َىناسكَوئ اناهيكَيث ىكةكَيلزاك اناهيئزاكب<br />

ىتزوك<br />

اهيج ىسكوئ ىاهيئزاكبو ىديزولكوزدياي ويسظ ليهظ لةطد ) لوهيفوهيما -ازاث<br />

وب شست َىكةدنوان ةل ادَيظائ<br />

ظاند َىزاطيش<br />

ب ادَيظائ ظاند ةياناوت و لوهيفودهيئ اي ٌجوخ َىشولائ اهتاًكَيث وب ةتشثلاث ةمةتسيس ظةئ<br />

ذ ترليلم/<br />

ماسغوسكيام<br />

ارَيز ب و % 98.86<br />

) 24-<br />

0. 5(<br />

اتةي اوناهيئ ارَيز ب<br />

ذ اديرب اساي َىزوهسو تريمونان<br />

604<br />

. تفت َىكةدنوان ةل اةد َىناسمةئ<br />

َىندنارم َىزةظَيث ب ىدنارلمةي ويستشزةب<br />

1-<br />

1-<br />

و مس.<br />

لوم.<br />

ترل 4660 ىيرب يزلاوم اهيرم ىةكلوك واي ب . لىوماتيسازاث<br />

لوماتيسازاث اي انامزةد<br />

ذ ادوج تَينونم زةسل ىاهيئزاكب ةتاي ةنايتظةكزةس ب ةَييز ظةئ<br />

.<br />

% 8811<br />

فشاكلا عم يدسكأتلا نارتقلأا لعافت ىلع دامتعلأاب لوماتيسارابلل يفيطلا ريدقتلا<br />

ةيئاودلا تارضحتسملا ضعب يف ديارولكوردياه نيرف لينف<br />

ىنلع ةنقيرطلا دنمتعت ت يئانملا لنسولا ينف لوماتينسارابلا<br />

ننم ةيوركيام تايمك ريدقتل ةرشابم ريغ ةيفيط ةقيرط<br />

ل يرت ميك ىناظيث انادلا<br />

ةصلاخلا<br />

تمدختسا<br />

نيرنف لنينف فنشاكلا عنم ) لوننيفونيمأ-ارانب<br />

ىنلا ينضماي لنسو ينف فانيئام نللحت دعب(<br />

لوماتيسارابلل يدسكأتلا نارتقلاا لعافت<br />

ةرننقتسم<br />

ت ةنوولم لونيفودنوا ة بنص نونكتت ذإ . يدنعاق لنسو ينف دنسكسم لنماعك يونجلا نيجسكولأا مادنختساب ديارولكورديه<br />

ىنلإ 0.5 ننم نيكرتلا لدنم نمنم نبطوا<br />

رنيب نوواق . رتموواو<br />

1-<br />

لدنعم نانك و<br />

.<br />

600<br />

يجوملا لوطلا دنع صاصتما ىلعأ يطعتو ءاملا يف ةبئاذو<br />

1-<br />

نس.<br />

لونم.<br />

رتل 4660 يه يرلاوملا صاصتملاا لماعم ةميق تواكو لوماتيسارابلا نم رتللم/<br />

مارغوركيام<br />

نيكرتلا لوتنسم ىنلع فادانمتعا % 1.<br />

88 ننم لنقا يبنسنلا ينسايقلا ارنحولااو % 98.<br />

86<br />

.<br />

ةيئاودلا<br />

40<br />

ينه لوماتينسارابلل لاجرتنسلاا ةبنسو<br />

تارضحتسملا ضعب يف لوماتيسارابلا ريدقت يف حاجنب ةقيرطلا يبطت تو<br />

57


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 58-62, 2011<br />

58<br />

CERTAIN SPECIES OF MALLOPHAGA (BIRD LICE) OCCURING<br />

ON DOMESTIC PIGEONS (Columba livia domestica Gmelin, 1789)<br />

IN ERBIL CITY-IRAQ<br />

REZAN KAMAL AHMED<br />

Dept. of Biology, College of Science, University of Salahaddin, Kurdistan Region-Iraq<br />

(Received: June 4, 2010; Accepted for publication: June 4, 2011)<br />

ABSTRACT<br />

Pigeons are a source of food, and used as pets, cultural and peace symbols. They also make good laboratory animal,<br />

poultry are attacked by several species of biting lice. The main objective of the current study was to determine and identify<br />

the prevalence and intensity of infestation with abundance of individual species of chewing lice on certain domestic pigeons<br />

of Erbil City-Kurdistan Region-Iraq. During the period from the beginning of October 2008 to the end of October 2009, a<br />

total of 40 domestic pigeons were obtained from animal market Erbil, the feathers were examined by using magnifying lenses<br />

and dissecting microscope. The ectoparasites were collected in small vials and fixed in 70% ethanol for further<br />

identifications. Three different species of chewing lice were reported [Goniocoites gallinae from the head and neck (89.3%),<br />

Menacanthus stramineus from the breast skin (67.9%) and Columbicola columbae from the Wing and tail feather (32.1%)]<br />

with the overall prevalence 70.0%. The pigeons had higher prevalence of double 15 (37.5%) compared with single 7 (17.5%)<br />

and triple 6 (15%), whilst 12 (30 %) of the examined pigeons were uninfested.<br />

KEYWORDS: Mallophaga, domestic pigeons, Erbil, Kurdistan Region, Iraq.<br />

P<br />

INTRODUCTION<br />

igeons are a source of food, and used as<br />

pets, cultural and peace symbols. They<br />

also make good laboratory animal (Cooper,<br />

1984). Poultry are attacked by several species of<br />

biting lice that causes reduce egg production,<br />

decrease market quality of birds. This is<br />

manifested by extensive damage to feathers and<br />

marked irritation of the skin, which may cause<br />

overall weakening and even death of the birds<br />

infested (Porkert, 1978; Jurasek and Dubinsky,<br />

1993; Holscher and Wintersteen, 1998). Many<br />

authors in different parts of the world studied the<br />

ectoparasites of the bird in general and pigeon in<br />

special. Although most of them were<br />

emphasized the need for more parasite research,<br />

especially in the area of systematic because only<br />

a small percentage of parasite species have been<br />

identified (Monis, 1999; Brooks & Hoberg,<br />

2001).<br />

In a study performed by Zangana (1982) only<br />

two species of ectoparasites (Gonocoites<br />

gallinae and Columbicola tschulyschmann) were<br />

detected from 435 collected domestic pigeons<br />

(Columba livia domestica) at different parts of<br />

Nineva province and some parts of Erbil and<br />

Duhok provinces-Iraq. From three different<br />

locations of Kampala-Uganda, 34 pigeons were<br />

studied for parasites. Three lice Columbicola<br />

columbae, Menopon gallinae and Menacanthus<br />

stramineus were reported (Dranzoa et al., 1999).<br />

Mushi et al. (2000) were conducted a study on<br />

12 domestic pigeons (C. livia domestica) in<br />

Sebele, Gaborone, Botswana, the prevalence of<br />

C. columbae was 30%. Adang et al. (2008) were<br />

purchased 240 domestic pigeons (127 males &<br />

113 females) in Ziria-Nigeria, in which 177<br />

(73.8%) were infested by certain species of<br />

ectoparasites, which included: M. gallinae<br />

(6.3%), C. columbae (63.8%), and Goniodes sp.<br />

(10.8%).<br />

The study of bird parasites (including<br />

pigeons) is a neglected field of zoological study<br />

in Iraq; therefore the present study was aimed to<br />

record the incidence of chewing lice among<br />

certain domestic pigeons of Erbil City, and to<br />

determine the intensity of infestation and<br />

abundance of individual species of chewing lice on<br />

Pigeons.<br />

MATERIALS AND METHODS<br />

Sampling area:<br />

A total of 40 domestic pigeons (Columba<br />

livia domestica Gmelin, 1789) were obtained<br />

from animal market Erbil during the period from<br />

beginning of October 2008 to the end of October<br />

2009. The pigeons brought alive and kept in<br />

large special cage with grid tops and sides (2X<br />

3X 4m 3 ) in the animal house of Science College,<br />

Biology Department for further examination and<br />

fed on the wheat and adequate water. The


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 58-62, 2011<br />

feathers of the birds were brushed using a fine<br />

brush onto a white flat container for the<br />

collection of ectoparasites, with the special<br />

attention paid to the examination of the head, the<br />

neck, under wings, body and leg feathers with a<br />

hand lens. Dissecting and light microscope were<br />

used for further examination.<br />

The ectoparasites were placed immediately in<br />

a small vial containing 70% alcohol for killing<br />

and preserving. The vial then labeled with the<br />

correct host-name, locality, date and number of<br />

the ectoparasites in each pigeon (Wall &<br />

Shearer, 2001). The ectoparasites were identified<br />

using standard text by Wall and Shearer (2001).<br />

Criteria of infestation:<br />

The ecological terms (prevalence and mean<br />

intensity of infestation) were used here based on<br />

the terminology of Margolis et al. (1982)<br />

Prevalence of infestation = The percentage of<br />

number of individuals of a host species infected<br />

with a particular ectoparasite species/ Number of<br />

hosts examined.<br />

Mean intensity of infestation = Total number<br />

of each ectoparasite species per total number of<br />

infected host in a sample.<br />

Statistical analysis<br />

The results were analyzed statistically using<br />

the computer program SPSS 11.5 for Windows<br />

(� 2 analysis), the differences were considered to<br />

be statistically significant when p-value obtained<br />

was less than 0.05.<br />

RESULTS AND DISCUSSION<br />

Throughout the period of the current study<br />

several species of chewing lice were identified<br />

among 40 domestic pigeons in Erbil City-Iraq.<br />

Table (1) shows the total infested number of<br />

domestic pigeons which was 28 cases with<br />

overall prevalence of different chewing lice<br />

70%, and this is relatively similar (73.8%) to<br />

that reported by Adang et al. (2008), that may be<br />

due to the many factors, which include home<br />

range, behavior, size and roosting habit of the<br />

host, market breeding conditions, and crowdy<br />

caging of domestic pigeons. The results of the<br />

present study confirmed the finding of other<br />

studies performed in some parts of the world<br />

(Mushi et al., 2000; Petryszak et al., 2000;<br />

Senlik et al., 2005). Statistically there was non<br />

significant differences between male and female<br />

infestation rates, this result is in agreement with<br />

Petryszak et al. (2000) and Adang et al. (2008),<br />

which they mentioned that the sex of pigeons did<br />

not influence the number of bird lice present.<br />

Table (2) shows three different species of<br />

chewing lice isolated from different sites on the<br />

body of the domestic pigeons with their<br />

infestation rates. Goniocoites gallinae (Fig. 1A)<br />

from the head and neck (89.3%), Menacanthus<br />

stramineus (Fig. 1B) from the breast skin<br />

(67.9%) and Columbicola columbae (Fig 1C)<br />

from the Wing and tail feather (32.1%). This is<br />

obvious that species of chewing (biting) lice may<br />

infest pigeons; they feed on skin scales, feathers,<br />

and scabs and spend their entire lives on the bird<br />

(nymph and adult) (Holscher and Wintersteen,<br />

1998).<br />

The infested sites of the isolated chewing lice<br />

was in agreement with the finding of Richards<br />

and Davies (1973) and Pattison (1996), in which<br />

they mentioned that G. gallinae found near the<br />

end of the feathers and on the skin of the host,<br />

especially on the head, neck, M. stramineus,<br />

common birds body louse, and C. columbae<br />

common wing louse.<br />

The pigeons have higher prevalence rates of<br />

double 15 (37.5%) infestation compared with<br />

single 7 (17.5%) and triple 6 (15%), whilst 12<br />

(30 %) of the pigeons were uninfested (Table<br />

3). The differences in the prevalence rates of<br />

single and mixed infestations were non<br />

significant.<br />

The high prevalence rate of double<br />

infestation of the pigeons by G. gallinae and M.<br />

stamineus, compared with single infestation may<br />

be due to to the fact that ectoparasites can<br />

cohabit without causing any harmful effects to<br />

each other.<br />

The interaction of two or more ectoparasites<br />

on the same host may be said to be a low interspecific<br />

competitive interaction characterized by<br />

simultaneous infestations that may not be<br />

detrimental to the two species (Adang et al.,<br />

2008).<br />

59


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 58-62, 2011<br />

60<br />

Table (1): Rates of infestation with different chewing lice species among domestic pigeons in Erbil City-Iraq.<br />

Host Sex<br />

No.<br />

Examined<br />

No.<br />

Infested<br />

Prevalence<br />

(%)<br />

Male 21 15 4.17<br />

Female 19 13 68.7<br />

Total 40 28 70.0<br />

Table (2): Prevalence and preference sites of chewing lice of domestic pigeons in Erbil City-Iraq.<br />

Ectoparasites Infestation sites Number of<br />

infested Pigeons<br />

(28)<br />

Prevalence<br />

(%)<br />

Total numbers of<br />

ectoparasites<br />

Mean<br />

intensity<br />

G. gallinae Head and neck 25 89.3 108 4.3 3-9<br />

M. stramineus Breast skin 19 67.9 93 4.9 2-7<br />

C. columbae Wing and tail<br />

feather<br />

Range<br />

9 32.1 30 3.3 2-5<br />

Table (3): Frequency of single and mixed chewing lice infestations on domestic pigeons in Erbil City-Iraq.<br />

Infestation type Parasite species Total %<br />

None 12 30<br />

single G. gallinae 7 17.5<br />

Double G.gallinae+ M. stramineus<br />

M. stramineus + C. collumbae<br />

Triple G.gallinae+M. stramineus + C. collumbae 6 15<br />

A<br />

C<br />

B<br />

Fig. (1): Photomicrograph of isolated domestic pigeon lice:<br />

A: Adult of Menacanthus stramineus<br />

B: Adult of Goniocoites gallinae<br />

C: Adult of Colmbicola columubae<br />

12<br />

3<br />

30<br />

7.5


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 58-62, 2011<br />

REFERENCES<br />

- Adang, K.L.; Oniye, S.I. Ezealor, A.U.; Abdu, P.A. and<br />

Ajanusi, O.J. (2008). Ectoparasites of domestic<br />

pigeon (Columba livia domestica, Linnaeus) in<br />

Zaria, Nigeria. Research Journal of Parasitology, 3<br />

(2): 79-84.<br />

- Brooks, D.R. and Hoberg E.P. (2001). Parasite<br />

systematics in the 21st century: opportunities and<br />

obstacles. Trends in Parasitology, 17:273-275.<br />

- Cooper, J. E . (1984). A veterinary approach to pigeons.<br />

Journal of small Animal practice, 24; 505- 516.<br />

- Dranzoa, C. Ocaido, M. and Katete, P. (1999). The ecto-,<br />

gastro- intestinal and haemo-parasites of live<br />

pigeons (Columba livia) in Kampala, Uganda.<br />

Avian pathology, 28:119-124.<br />

- Holscher, K. and Wintersteen, W. (1998). Iowa<br />

Commercial Pesticide Applicator Manual Animal<br />

Pest Control. Iowa State University. Category 1E<br />

(http://www.extension.Iastate.edu/publications/cs<br />

13, 1-24pp)<br />

- Jurasek, V. and Dubinsky, P. (1993): Veterinary<br />

Parasitology (in Slovak). Priroda, Bratislava. 382<br />

(Cited by Sychra, O. (2005). Chewing lice<br />

(Phthiraptera: Amblycera, Ischnocera) from chukars<br />

(Alectoris chukar) from a pheasant farm in<br />

Jinacovice (Czech Republic). Vet. Med. – Czech, 50<br />

(5): 213–218).<br />

- Margolis, L. Esch, G.W. Holmes, J.C. Kuris, A.M. and<br />

Schad, G.A. (1982). The use of ecological terms in<br />

parasitology (Report of an ad hoc committee of the<br />

American Society of Parasitologists). Journal of<br />

Parasitology, 68 (1): 131-133.<br />

- Monis, P.T. (1999). The importance of systematics in<br />

parasitological research. International Journal of<br />

Parasitology, 29:381-388.<br />

- Mushi, E.Z. Binta, M.G. Chabo, R.G. Ndebele, R. and<br />

Panzirah, R. (2000). Parasites of domestic pigeons<br />

(Columba livia domestica) in Sebele, Gaborone,<br />

Botswana. Journal of South Africa Veternary<br />

Association, 71(4): 249-250.<br />

- Pattison M. (1996). Poultry Diseases 4th ed, Bailliere<br />

Tindal, London, WB Saunders, Jordan, FTW: 287–<br />

289<br />

- Petryszak, A. Rościszewska, M. Bonczar, Z. and<br />

Pośpiech, N. (2000). Analyses of the population<br />

structures of Mallophaga infesting urban pigeons.<br />

Wiad Parazytology, 46(1): 75-85.<br />

- Porkert, J. (1978). Mass occurrence of Goniocotes<br />

megalocephalus on one injured Hazel Grouse (in<br />

German). Angewandte Parasitologie, 19, 213–219.<br />

- Richards, O.W. and Davies, R.G. (1973). A general<br />

textbook of Entomology. 9 th edn., Halset Press, a<br />

Division of John Wileyand Sons, Inc. New york.<br />

886pp.<br />

- Senlik, B.; Gulegen, E. and Akyol, V. (2005).<br />

Ectoparasites of domestic pigeons (C. l. domestica)<br />

in Bursa province. Türkiye Parazitoloji Derneği,,<br />

29 (2): 100-102.<br />

- Wall, R. and Shearer, D. (2001). Veterinary Ectoparasites:<br />

Biology, Pathology and Control. 2 nd edn., Oxford.<br />

Blackwell Science. 262pp.<br />

- Zangana, F. M. (1982). Study on the parasites of domestic<br />

pigeon Columba livia domestica in Nineva and<br />

some areas of Erbil and Duhok province. M.Sc.,<br />

Thesis. College of Science, University of Mosul.<br />

61


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 58-62, 2011<br />

62<br />

يَهاً يستؤك زةسةه ) ةدهَهاب ي َيثسةئ(<br />

قاسَيع-<br />

سَيهوةي<br />

يزاشةه<br />

زةهَيتسق ي َيثسةئ يزؤج مَيدنةي<br />

(Columba livia domestica 1789, Gmelin)<br />

وكةو ايةوزةي . تيشائ ياٌَيي وزوتهةك و يَهاً يزةوةنايط وكةو وَيدزاكةب ةو نازؤخ يةواضزةسةه ينتيسب ستؤك<br />

َيثسةئ يناكةزؤج ةه زؤش يكةيةزاًذةب ىاكةي يزةوةهةث ةطَوَيك يزةوةنايط , تَيدزاكةب شاب ييةطيقات يلَيزةوةنايط<br />

و ةرَيِز يندسلناشين تسةد و ىدسليزايد ةه ووب تييسب ةيةوةهيرَيوت مةئ يكةزةس ينجاًائ<br />

. وَيسكةد شسَيي زةهَيتسق ي<br />

يٌَيزةةي-سَيهوةةي<br />

يزاش يناكةي يَهاً ةستؤك ةه مَيدنةي زةسةه زةهَيتسق يَيثسةئ يناكةزؤج ةب ىووب شووت يِسض<br />

يؤةك , 8002 يًةكةي نييسشت<br />

يياتؤكات 8002 يًةكةي نييسشت يطناً ياتةزةس ىاوَين يةواًةه . قاسَيع-ىاتسدزوك<br />

يةهَيواي يناهَييزاكةبةب ىاسهَيلشث ىايناكةِزةث , سَيهوةي يزاش ينازةوةنايط يِزاشابةه ىايرطزةو يَهاً يستؤك<br />

َيؤناةثيئ % 00<br />

ةةك نوةضب يةشوش وانةه ةوةةناسكؤك ىاكةي يكةزةد ةزؤخةشً<br />

00<br />

ةتخوث<br />

تيشط<br />

. يزالَيوت نييبدزوو و ىدسكةزوةط<br />

} ىاسكزاًؤت زةةهَيتسق ي َيثسةئ ةه شاوايج يزؤج َيس . ستايش يندسلناشين تسةد ؤب ىايندسكيرطَيج<br />

تيسةبةًةب ووبادايت<br />

Columbicolo<br />

ةو % 9072<br />

هةس تيةسَيث ةه Menacanthus stramineus , % 22.3<br />

ةةه يةناود ينووةب شوووت يةرَيِز .% 00 تيشط ينووب شووت يةرَيِز ةب ةو { % 3873<br />

ىً وزةسةه<br />

Goniocoites gallinae<br />

موك و َياب يِزةث ةه<br />

ةستؤك ي 38 )% 30(<br />

مَلاةب , 9 )% 33(<br />

ينايس و 0 )% 3073(<br />

يكات ينووب شووت ةب دزوازةبةب 33)%<br />

3073(<br />

(Columba livia domestica 1789,<br />

فيللاا مامحلا ىلع ةدجاوتملا ) رويطلاا لمق(<br />

قارع-ليبرا<br />

ةنيدم يف<br />

Gmelin)<br />

columbae<br />

ووبستشزةب ىاكةستؤك<br />

. ىووبووبةن شووت ىاكةواسهَيلشث<br />

ضراقلا لمقلا عاونا ضعب<br />

ياذناويحلا لذم اذ يا دذعي ي . ملاذتلاي دذيلاقتلاي ياداذعلل دذمروي ةذكيلا ياذناويحو اذ يا لمعتذتيي ااذغلا رداصم دحا وه مامحلا<br />

ةصلاخلا<br />

داذذديا ناذذو ةذذساردلا هاذذهل<br />

يذذتيسرلا ادذذهلا . ضراذذقلا لذذمقلا لذذم رذذيبو ددذذع لذذبق لذذم ةذذنجادلا ياذذناويحلا اجاذذهت , ةدذذيدلا ةذذيربتخملا<br />

. قارذعلا-ناتذسدروو<br />

ايذلقا -لذيبرا<br />

ةذنيدم يذف فذيللاا ماذمحلا ىذلع دذجاوتملا ضراذقلا لذمقلا عاوناذب ةباذصلاا ةدذ ي ةبذتن يخذشتي<br />

ةذنيدم يذف ياذناويحلا لذيب قوذس لذم ةكيلا ةمامح 00 تعمج 8002<br />

ليلاا ليرشت ةياهن ىلا<br />

8002<br />

ليلاا ليرشت ةيادب لم ةرتكلا للاخ<br />

ىذلع ةذيياح ةريغذص يناذنق يذف ةليدعملا ةيجراخلا يايليكطلا تعمج . حيرشتلا رهدمي ةيريبكت ياسدع لامعتسأب شيرلا<br />

: يذذه ضراذذقلا لذذمقلا لذذم ةذذكلتخم عاوذذنا ةذذ لا دوذذجي لدذذس .<br />

ي )% 9072(<br />

ردذصلا دذلج لذم Menacanthus stramineus ي )% 2273(<br />

ةبذتن ي % 00 ناذو ةذيجراخلا ياذيليكطلاب ةباذصلال ةذيلكلا ةبذتنلا . )% 3873(<br />

حف . ليبرا<br />

يخذذشتلا ياوذذطخ لذذم دذذيدم ارذذجاي تذذيبثتلا ضرذذغل لوناذذثيا % 00<br />

ذنعلا ي ا رذلا لذم تذلدع يذتلا<br />

لياذلاي ةذحنجلاا شذير لذم<br />

لذم ) % | 30(<br />

38 ناذو اذمنيب ) % 33(<br />

9 ةذي لاثلا ي )% 3073(<br />

0 ةدرذكملا ياباذصلااب ةذنراقم )% 3073(<br />

33<br />

Goniocoites gallinae<br />

Columbicolo columbae<br />

ىذلعا تناو ةيسانثلا ياباصلاا<br />

.<br />

ليباصم ريغ صوحكملا مامحلا


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 63-70, 2011<br />

INCIDENCE OF BLOOD STREAM INFECTION IN NEONATE CARE UNIT<br />

IN SULAIMANI PEDIATRIC TEACHING HOSPITAL<br />

SAHAND K. ARIF * and GOLZAR F. ABDULRAHMAN **<br />

* Dept. of Biology, College o Science, University of Sulaimani., Kurdistan Region-Iraq<br />

** Technical institute of Sulaiman, Kurdistan Region-Iraq<br />

(Received: June 5, 2010; Accepted for publication: November 28, 2010)<br />

ABSTRACT<br />

OBJECTIVE: To estimate the incidence of nosocomial blood stream infections, identify the common bacteria, their<br />

biotypes and antibiotic sensitivity patterns and to identify the probable exogenous source, from the environment and<br />

personnel, leading to such infections.<br />

METHODOLOGY: Two hundred and two (202) neonates were included in this study which was carried out in the<br />

Neonatal care unit- Sulaimani Pediatric Hospital in Sulaimani-Kurdistan Region - Iraq from July to December 2008<br />

RESULTS: There were 102 female and 100 male, the most common cause of disease were, Jaundice 95 (47%) followed<br />

by cyanosis 32 (15.8%), septicemia 15 (7.4%), diarrhea and vomiting. The mortality rate was increased as the neonate<br />

weight decreased. Environmental samples were collected from floor and walls, beds, sinks, tap water, disinfectants,<br />

ventilator and suction pumps, swab were also taken from hands, nasal cavity and coats of the Nurses. Suction pump<br />

and nurse coats showed the highest rate of bacterial contamination (14 isolates for each). During the study period, 15<br />

patients developed 15 episodes of confirmed nosocomial blood stream infection (NBI), accounting for an incidence<br />

rate of 7.4%, five different bacterial species were identified from blood samples, and all the infections were<br />

monomicrobial. The most common organisms causing nosocomial blood stream infection were E coli (6 isolates), P.<br />

aeroginos, (4 isolates), E. cloacae (2 isolates), S. aureas (2 isolates) and Citrobactr frundii (1 isolate).<br />

CONCLUSION: Understanding these risk factors and adjusting clinical practice to reduce the risk may reduce the<br />

incidence of nosocomial infection and improve outcomes, more continuing medical education programmes are needed<br />

for the health care team to improve their competence.<br />

KEYWORDS: Neonatal care unite, Blood stream infection, Environmental samples<br />

N<br />

INTRODUCTION<br />

eonatal deaths account for over a third<br />

of the global burden of child mortality<br />

(Lawn et al., 2004). Hospital-acquired<br />

bloodstream infection is a serious health<br />

problem in hospitals all over the world and is<br />

associated with high mortality, prolonged<br />

hospital stay, and extra cost (Garrouste-Orgeas,<br />

et al., 2006). Most studies of nosocomial<br />

bloodstream infections (NBI) in pediatric<br />

intensive care unit (PICU) were carried out in<br />

the developed countries. In Iraq and especially in<br />

Kurdistan region, the true magnitude of the<br />

problem is not known (Al-Zwaini, 2002, and<br />

Efird, et al., 2005), so the present study<br />

conducted to estimate the incidence of blood<br />

stream nosocomial infections in the neonatal<br />

care unite of Pediatric Hospital in Sulaimani<br />

city, identify the common bacteria, their<br />

biotypes and antibiotic sensitivity patterns and<br />

identify the probable exogenous source, from the<br />

environment and personnel, leading to such<br />

infections.<br />

MATERIAL AND METHODS<br />

1-Studied population:<br />

Two hundred and two neonates attended to<br />

Neonatal care unit- Sulaimani Pediatric Hospital<br />

in Sulaimani-Kurdistan Region – Iraq from<br />

March to December 2008 and who remained at<br />

least 48 hours were followed up and evaluated.<br />

Clinical data for each neonate was collected and<br />

included the following information: Neonate<br />

name, date of admission, type of delivery,<br />

gestational age, gender, body weight, clinical<br />

diagnosis on admission and length of<br />

hospitalization.<br />

2-Definitions<br />

Bloodstream infections were regarded as<br />

nosocomial if they occurred more than 48 hours<br />

after admission to the hospital. Criteria of the<br />

Centers for Disease Control and Prevention were<br />

used as standard definition for NBI (Garner, et<br />

al., 1988). The cases of clinical sepsis without<br />

laboratory-confirmed bloodstream infection<br />

were excluded.<br />

3-Blood samples:<br />

Blood samples were collected with all aseptic<br />

precautions for blood culture and sensitivity<br />

studies, inoculated into bottles containing<br />

63


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 63-70, 2011<br />

Trypticase Soya Broth for isolation of bacteria.<br />

The blood culture bottles were incubated at 37ºC<br />

and sub cultured on solid media (blood agar,<br />

MacConckey agar and Chocolate agar) after<br />

24hr to 48hr and at 7 days. Isolates were<br />

identified by Gram stain and conventional<br />

biochemical methods.<br />

4-Environmental sample<br />

Environmental sampling was obtained on a<br />

weekly basis from floor walls, sinks, tap water,<br />

disinfectants, ventilator and suction pump, swabs<br />

were also taken from hands, nasal cavities and<br />

coats of the nurses of each room in neonatal care<br />

unite. The colleted swabs then were cultured on<br />

blood agar and MacConkey agar, plates then<br />

were incubated aerobically overnight at 37ºC, if<br />

no growth was detected, plates then were reincubated<br />

for another 24 hours before reported<br />

as negative cultures.<br />

5-Identification of microorganisms<br />

Methods used for identification of Gram<br />

positive bacteria are Gram-stain, catalase,<br />

coagulase, DNase, bile esculin hydrolysis,<br />

growth on NaCl, susceptibility to optochin,<br />

colonial morphology and haemolysis. Methods<br />

used for identification of Gram-negative rods are<br />

64<br />

Male<br />

(100)<br />

Female<br />

(102)<br />

Total<br />

(202)<br />

No.<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 63-70, 2011<br />

2-Types of the Disease<br />

As illustrated in figure (2), the most common<br />

cause of disease was, Jaundice 95 (47%)<br />

followed by cyanosis 32 (15.8%), septicemia 15<br />

(7.4%), diarrhea and vomiting 11 (5.4%) and<br />

bad feeding 7 (3.4%). The mortality rate in male<br />

with jaundice was (3/48, 6.2%), while in female<br />

% of Patient<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

45<br />

3<br />

6.2<br />

Fig. (2). Types of the diseases<br />

7<br />

5<br />

41.6<br />

1<br />

was (3/47, 6.3%). The mortality rate in cyanotic<br />

male (5/12, 41.6%) was higher than female<br />

(3/20, 15%), one of the 4 female neonates with<br />

septicemia died while the 2 male patient whom<br />

suffered from septicemia died during the study<br />

(figure 3 and figure 4).<br />

50<br />

9<br />

4<br />

0 0<br />

2 2<br />

Jaundice Cynosis Bad feeding D and V Septicemia<br />

Live Dead % of Dead<br />

Fig. (3):- Correlation between diseases and the mortality rate in male neonates.<br />

22<br />

65


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 63-70, 2011<br />

66<br />

% of patients<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

44<br />

33<br />

25<br />

17 15<br />

3<br />

6.3<br />

3<br />

6<br />

0 0<br />

4 1 3 1<br />

Jaundice Cynosis Bad feeding D and V Septicemia<br />

Live Dead % of Dead<br />

Fig. (4):- Correlation between diseases and the mortality rate in female neonates.<br />

3-Correlation between neonatal weight and<br />

mortality rate.<br />

Seventy seven (40 male and 37 female) of the<br />

patients were more than 3000 gm while only 2 (1<br />

male and 1 female) were less than 1000gm. The<br />

mortality rate was increased as the neonate<br />

weight decreased, 50% of the neonates weighted<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1 1 1 1<br />

50%<br />

9 8<br />

4 5<br />

38%<br />

15<br />

1110<br />

6<br />

28%<br />

less than 1000gm died while 38% of the<br />

neonates weighted 1000-1500 gm died, this rate<br />

further decreased when the weight was between<br />

2001-2500 gm, while the minimum rate of death<br />

was recorded among neonate weighted more<br />

than 2000 gm (figure 5).<br />

16 16<br />

30<br />

6%<br />

2<br />

30<br />

27<br />

49<br />

40<br />

37<br />

66<br />

14% 14%<br />

11<br />

8<br />

3001<br />

Male Female Live Dead % of death<br />

Fig. (5):- Correlation between neonatal weight and mortality rate.<br />

4-Environmental isolates as a probable<br />

exogenous source of nosocomial infection:<br />

Seven different bacterial species were<br />

isolated from different sites inside the neonatal<br />

care unit rooms, which were, E coli (18 isolates),<br />

P. aeroginosa (13 isolates), S. aureas (11<br />

isolates), S. epidermidis (10 isolates), Proteus<br />

mirabilus (7 isolates), E. cloacae (2 isolates)<br />

and Citrobactr frundii (1 isolate). The Suction<br />

pump and Nurse coats showed the highest rate of<br />

bacterial contamination (14 isolates for each),<br />

followed by Sinks (13) Surfaces (9) Beds (5),<br />

Ventilation (4) and Soaps and Antiseptics (2<br />

isolates for each) (figure 6). Infection room<br />

showed the higher rate of contamination (32<br />

isolates), all above bacterial species were<br />

detected except Citrobacter frundii, 14 bacterial<br />

isolates were isolated from Premature room<br />

included all species except Citrobacter frundii<br />

and E. cloacae, while in isolation room only 10<br />

isolates were recorded but Citrobacter frundii<br />

and E coli were not isolated (figure 7)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 63-70, 2011<br />

No. of Isolates<br />

No. of Isolates<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

10<br />

Suction P<br />

6<br />

5<br />

4<br />

4 4<br />

2<br />

2 2 2<br />

1 1 1 1 1 1111 1 1 1 1 1<br />

Sink<br />

Surface<br />

Antiseptic<br />

Bed<br />

Ventelation<br />

P aerogenosa S aureus E coli S epidermitis E cloaca P mirabilis C frundii<br />

Fig. (6):- Microorganisms isolated according to the site of isolation.<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

14<br />

6<br />

4 4 4 4<br />

2 2<br />

3<br />

2<br />

3<br />

2 2<br />

3<br />

1<br />

0 0 0 0 0 0<br />

Coat<br />

8<br />

Soap<br />

2<br />

1 1 1 1 1<br />

0<br />

Infecntion Premature Isolation Others<br />

P. aeroginosa S. aureas E coli S.epidermidis E. cloacae Proteus Citrobactr frundii<br />

Fig. (7):- Microorganisms isolated from different neonatal care unit rooms.<br />

5-Clinical isolates (Characteristics of<br />

nosocomial bloodstream)<br />

During the study period, 15 patients<br />

developed 15 episodes of confirmed Nosocomial<br />

blood stream infection (NBI), accounting for an<br />

incidence rate of 7.4%. Three episodes of<br />

clinical sepsis without laboratory-confirmed<br />

bloodstream infection occurred during the same<br />

period and were excluded from the analysis.<br />

Five different bacterial species were identified<br />

from blood samples, all the infections were<br />

monomicrobial. The most common organisms<br />

causing nosocomial blood stream infection were<br />

E coli (6 isolates), P. aeroginosa, (4 isolates), E.<br />

cloacae (2 isolates), S. aureas (2 isolates) and<br />

Citrobactr frundii (1 isolate) (Figure 8).<br />

67


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 63-70, 2011<br />

68<br />

No. of isolates<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

26.6%<br />

40%<br />

13.3<br />

6.6%<br />

13.3<br />

P. aeroginos E coli S. aureas Citrobactr frundii E. cloacae<br />

Type of Bacteria<br />

Fig. (8):- Types of microorganisms isolated from blood samples.<br />

6-Comparison between clinical and<br />

environmental samples.<br />

When the environmental bacterial isolate<br />

compared to those isolated from blood samples<br />

in the same period of time and in the same place,<br />

we observed that certain environmental bacterial<br />

isolates were identical to that isolated from<br />

blood (table 2) samples as confirmed by<br />

antibiotic resistance profile (table 3) and<br />

biochemical assays (API 20 system),<br />

Enterobacter cloacae and Citrobacter frundii<br />

isolated from the surface in infectious room in<br />

two different cases were identical to those<br />

isolated from blood at first and second week of<br />

August respectively. At the fourth week in<br />

August Enterobacter cloacae was isolated from<br />

the suction pump sample in phototherapy room,<br />

which was also identical to that isolated from the<br />

blood sample.<br />

Table (2):- Comparison between clinical and environmental samples.<br />

Clinical sample Environmental sample Pathogen<br />

Blood (1st Week, Aug.) Surface (1st Week, Aug.) Enterobacter cloacae<br />

Blood (2nd Week, Aug.) Surface (2nd Week, Aug.) Citrobacter frundii<br />

Blood (4th Week, Aug.) Sanction P (4th Week, Aug.) Enterobacter cloacae<br />

Table (3):- Antibiotic pattern of clinical isolates.<br />

No. Samples CIP(5) N.A(30) DA(2)Mcg S(10) C(30) AM(10) AMC(10) TMP(5) P<br />

1A Blood (247) S S R S S R R S R<br />

1B Suction Pump (24) S S R S S R R S R<br />

2A Blood (509) S S R S S R R R R<br />

2B Surface 12(b) S S R S S R R R R<br />

3A Blood (667) S S R S S R R R R<br />

3B Surface (19-5) S S R S S R R R R<br />

S=Streptomycin, NA=Nalidixic Acid, AM=Ampicilin, C=Chlramphenicol , TMP=Trimephoprim,<br />

CIP=Ciprfloxacin , P=pinicilin, DA=Clindomycin AMC=Amoxiccillin (Clavulanic Acid).<br />

DISCUSSION<br />

Unfortunately, hospitals in developing<br />

countries are at high risk of infection<br />

transmission, and improvements in neonatal<br />

outcomes are subverted by hospital-acquired<br />

infections and their associated morbidity,<br />

mortality and cost (Nejjari, et al., 2003 and Raza<br />

et al., 2004). These infections can be attributed<br />

to lack of knowledge and training about basic<br />

infection control processes, coupled with<br />

inadequate infrastructure, systems of care and


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 63-70, 2011<br />

resources. This has serious consequences when<br />

devices such as intravenous catheters and<br />

ventilators are introduced without sufficient<br />

attention to the substantial risk of infection they<br />

entail (Martinez-Aguilar et al., 2001 and<br />

Silva et al., 2000).<br />

In the present study the majority, 77 out of<br />

202, of the neonate were more than 3000 gm<br />

while only 2 out of 202 of the neonates were less<br />

than 1000 gm. Cimiotti et al, (2008) also<br />

reported that the majority of the neonate (45.8%)<br />

were more than 2500 gm while 11.6% were less<br />

than 1000 gm. Numerous studies have indicated<br />

that neonate weight less than 1000 gm was a risk<br />

factor for nosocomial blood stream infection<br />

(Sohn, et al., 2001, Harihara, et al., 2001 and<br />

Babazone, et al., 2008), while in our study non<br />

of the patients with nosocomial blood stream<br />

infection had weight below 1000 gm, this<br />

difference may be due to that only 0.99 % of<br />

patients were belong to this weight group.<br />

The incidence rate of blood stream infection<br />

In the present study was 7.4%, a study<br />

conducted in Saudi Arabia recorded incidence<br />

rate of 19.2% nosocomial infection (NI) in<br />

neonatal intensive care unit and only 40.9% of<br />

those infections were blood stream infection<br />

(Mahfouz, et al., 2010).<br />

Previous studies have documented widely<br />

varying infection rates between individual<br />

institutions. In developing countries,<br />

investigators in Brazil and Indonesia have<br />

reported rates of hospital-acquired infections to<br />

be as high as 51%–52% among all neonatal<br />

intensive care unit (NICU) admissions (Nagata,<br />

et al., 2002 and Zaidi, et al., 2005). A<br />

prospective multicentre study conducted by the<br />

European Study Group found an infection rate of<br />

7% in 7 NICUs (Raymond and Aujard, 2000).<br />

The USA national point prevalence survey, a<br />

collaborative study in 29 hospitals representing<br />

19 states, found a NICU infection rate of 11.4%<br />

(Sohn et al., 2001). In Spain a study found an<br />

incidence rate of 1.6 NIs per 100 patients-day<br />

observation in the NICU (Urrea, 2003).<br />

Although the Centers for Disease Control<br />

and Prevention definitions are usually used in<br />

these studies, it may be difficult to make direct<br />

comparisons with these data because of<br />

inconsistencies in surveillance or study methods,<br />

such as intensity of surveillance, prospective<br />

versus retrospective data collection, infection<br />

detection methods and the populations included<br />

(Mahfouz, et al., 2010).<br />

The most common organisms causing blood<br />

stream infection in this study were E coli, P.<br />

aeroginosa, E. cloacae, S. aureas and Citrobactr<br />

frundii, In most of the developing countries<br />

gram negative organisms are still the main cause<br />

of sepsis especially early onset neonatal sepsis<br />

(Anwer et al., 2000, Joshil et al., 2000,<br />

Aurangzeb B and Hameed, 2003, Cordero, et<br />

al., 2004, Anita, et al., 2005, Larson, et al.,<br />

2005 and Jaballah, et al., 2007). In the present<br />

work, culture studies revealed growth in 62<br />

samples indicating considerable contamination<br />

of different areas of the units and sources of<br />

infection. Our results were in agreement with<br />

those reported by (Chandrashekar, et al., 1997<br />

and Newman, 2002) in which gram negative<br />

bacteria was predominant in environmental<br />

samples. In contrast to our study Deep et al.,<br />

(2004) found that gram positive bacteria<br />

(coagulase negative staphylococci and S aureus)<br />

were the most common organisms isolated from<br />

the environment as an exogenous source of<br />

nosocomial infection, this may be due to that<br />

they observed an outbreak of multi-drug<br />

resistant gram positive in their hospital. The<br />

Suction pump and Nurse coats showed the<br />

highest rate of bacterial contamination in our<br />

study. Numerous NICU outbreaks of infection<br />

have been reported. The vast majority of<br />

clustered cases for any pathogen have been<br />

found to be genetically similar strains with<br />

transmission due to cross contamination from a<br />

small number of health care workers. Reservoirs<br />

for transmission are numerous: laundry, soap<br />

bottlesand sinks, hand lotion, pet dog, bed toys,<br />

blood gas analyzer, ventilator circuits, multiuse<br />

vials, sibling-to mother- to-patient, water tap,<br />

hands, suction equipment, air conditioner,<br />

wooden tongue depressors, water bath for blood<br />

products, expressed mother’s milk, powdered<br />

milk, latex gloves, resuscitator and saline for<br />

heparin dilution. About 85% of all NICU<br />

surfaces will grow nosocomial pathogens<br />

(Spainhour, 1998, Harbarth et al., 1999 and<br />

Reese et al., 2004).<br />

In conclusion, the results of this study will<br />

assist in developing intervention strategies for<br />

the prevention of NIs in NICUs in the region.<br />

More continuing medical education programmes<br />

are needed for the health care team to improve<br />

their competence. Understanding these risk<br />

factors and adjusting clinical practice to reduce<br />

the risk may reduce the incidence of nosocomial<br />

infection and improve outcomes.<br />

69


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 63-70, 2011<br />

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Rojas, M.X. and Rondon, M.A. (2005).<br />

Epidemiology of nosocomial infections in selected<br />

neonatal intensive care units in Colombia, South<br />

America. J Perinatol. 25:531-6.<br />

- Forbes, B.A. Bailey & Scott’s diagnostic microbiology,<br />

10th ed. St. Louis, Missouri, Mosby, 1998:283–304<br />

- Garner, J.S., Jarvis, W.R., Emori, T.G., Horan, T.C. and<br />

Hughes, J.M.(1988). C.D.C. definitions for<br />

nosocomial infections. Am J Infect Control. 16:128-<br />

40.<br />

- Garrouste-Orgeas, M., Timsit, J.F., Taffet, M., Misset, B.<br />

and Zahar, J.R., Soufir, L. (2006). Excess risk of<br />

death from intensive care unit-acquired nosocomial<br />

bloodstream infections: a reappraisal. Clin Infect<br />

Dis.42:1118-26.<br />

- Harbarth, S., Sudre, P., Dharan, S., Cadenas, M., Pittet,<br />

D. (1999). Outbreak of Enterobacter cloacae<br />

related to understaffing, overcrowding, and poor<br />

hygiene practices. Infect Control Hosp Epidemiol ;<br />

20:598–60<br />

- Haribara, Y.and Konishi, T.(2002). The significance of<br />

establishment of NNIS and JNIS, including the<br />

nosocomial infection surveillance. Nippon Rinsho.<br />

60:2079-2083.<br />

- Jaballah, N.B., Bouziri, A., Mnif, K., Hamdi, K.,<br />

Khaldi, A, Kchaou, W. (2007). Epidemiology of<br />

hospital-acquired bloodstream infections in a<br />

Tunisian pediatric intensive care unit: A 2-year<br />

prospective study 35: (9), 613-618<br />

- Joshil, S.J., Golem, V.S., Niphadkar, K.B. (2000).<br />

Neonatal gram negative bacteremia. India J Pediatr.<br />

67:27-32<br />

- Larson, E.L., Cimiotti, J.P. and Haas, J. (2005). Gramnegative<br />

bacilli associated with catheter-associated<br />

and non-catheter-associated bloodstream infections<br />

and hand carriage by healthcare associated<br />

bloodstream infections and hand carriage by<br />

70<br />

healthcare<br />

workers in neonatal intensive care units. Pediatr<br />

Crit Care Med. 6:457-46.<br />

- Lawn, J.E., Cousens, S., Bhutta, Z.A. (2004). Why are 4<br />

million newborn babies dying each year? Lancet;<br />

364: 399-401<br />

- Mahfouz, A.A., Al-Azraqi, T.A., Abbag, F.I., Al-Gamal,<br />

M.N., Seef, S., Bello, C.S. (2010). Nosocomial<br />

infections in a neonatal intensive care unit in southwestern<br />

Saudi Arabia. EMHJ; 16 (1) :40-44<br />

- Martinez-Aguilar, G., Alpuche-Aranda, C.M., Anaya, C.,<br />

Alcantar-Curiel, D., Gayosso, C., Daza, C., Mijares,<br />

C., Tinoco, J.C., Santos, J.I. (2001). Outbreak of<br />

nosocomial sepsis and pneumonia in a newborn<br />

intensive care unit by multiresistant extendedspectrum<br />

beta-lactamase-producing Klebsiella<br />

pneumoniae: high impact on mortality. Infection<br />

control and hospital epidemiolog. 22:725–8.<br />

- Nagata, E., Brito, A.S. and Matsuo, T. (2002).<br />

Nosocomial infections in a neonatal intensive care<br />

unit: Incidence and risk factors. Am J Infect<br />

Control. 30:26–31.<br />

- Newman, M.J. (2002). Neonatal intensive care unit:<br />

reservoirs of nosocomial pathogens. West Afr J<br />

Med. 21(4):310-2<br />

- Nejjari, N. (2003). Infections nosocomiales a<br />

Acinetobacter experience du service de<br />

neonatologie de Casablanca. [Nosocomial<br />

infections caused by Acinetobacter: experience in a<br />

neonatal care unit in Casablanca.] La Tunisie<br />

médicale, 81:121–5.<br />

- National Committee for Clinical Laboratory Standards<br />

2000. Methods for Dilution Antimicrobial<br />

Susceptibility Test for Bacteria That Grow<br />

Aerobically. 5th ed. Wayne, PA: National<br />

Committee for Clinical Laboratory Standards; 2000.<br />

- Raymond, J., Aujard, Y.(2000). Nosocomial infections in<br />

pediatric patients: a European, multicenter<br />

prospective study. European Study Group. Infection<br />

control and hospital epidemiology. 21:2260–3.<br />

- Raza, M.W., Kazi, B.M., Mustafa, M., Gould, F.K.<br />

(2004). Developing countries have their own<br />

characteristic problem with infection control. J<br />

Hosp Infect. 57:294-299<br />

- Reese, C., Powers, R., White, R., Bloom, B., Sanchez, P.<br />

and Daniel K. (2004). Nosocomial Infection in the<br />

NICU: A Medical Complication or Unavoidable<br />

Problem? Journal of Perinatology; 24:382–388.<br />

- Silva J, Aguilar C, Ayala G, Estrada MA, Garze-Ramos<br />

U, Lara-Lemus R.(2000). TLA-1: a new plasmidmediated<br />

extended-spectrum B-lactamase from<br />

Escherichia coli. Antimicrob Agents Chemother.<br />

44:997-1003.<br />

- Sohn, A.H., Garrett, D.O. and Sinkowitz-Cochran, R.L.<br />

(2001). Prevalence of nosocomial infections in<br />

neonatal intensive care unit patients: results from<br />

the first national point-prevalence survey<br />

J Pediatr. 139:821–827<br />

- Spainhour, S. (1998). Serratia marcescens outbreak<br />

associated with extrinsic contamination of 1%<br />

chloroxylenol soap. Infect Control Hosp Epidemiol.<br />

19:476.<br />

- Urrea, M. (2003). A prospective incidence study of<br />

nosocomial infections in a neonatal care unit.<br />

American journal of infection. 31(88):5505–7.<br />

- Zaidi, A., Huskins, W., Thaver, D., Bhutta, Z., Abbas,<br />

Z. Goldmann, D.(2005). Hospital-acquired<br />

neonatal infections in developing countries. Lancet.<br />

365:1175–88.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 71-77, 2011<br />

BIOACCUMULATION OF SOME HEAVY METALS IN THE TISSUES OF<br />

TWO FISH SPECIES (Barbus luteus AND Cyprinion macrostomum) IN<br />

GREATER ZAB RIVER- IRAQ<br />

NASHMEEL SA’ID KHDHIR * , LANA S. AL-ALEM ** and SHAMALL M.A. ABDULLAH ***<br />

* Dept. of Environmental Science, College of Science, University of Salahaddin, Kurdistan Region-Iraq<br />

** Dept. of Biology, College of Science, University of Salahaddin, Kurdistan Region-Iraq<br />

*** Dept. of Biology, College of Education-Scientific dept, University of Salahaddin, Kurdistan Region-Iraq<br />

(Received: June 9, 2010; Accepted for publication: April 10,2011)<br />

ABSTRACT<br />

Concentrations of the heavy metals copper (Cu), cadmium (Cd), lead (Pb) and zinc (Zn) were determined in water<br />

and six organs (testis, ovary, kidney, liver, gills and muscle) of Barbus luteus and Cyprinion macrostomum in the<br />

Greater Zab River during spring 2009. Generally, B. luteus showed no significant accumulation for the studied<br />

metals. The sex organs (testes and ovaries) of C. macrostomum exhibited a tendency toward Cd and Pb accumulation;<br />

furthermore, Cu was significantly (P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 71-77, 2011<br />

were placed in screw-capped bottles and boiled<br />

till complete dryness. Then concentrated nitric<br />

acid was added to the samples and boiled close<br />

to dryness, then diluted with distilled deionized<br />

water. The solution was filtered and stored in<br />

refrigerator till analysis (APHA, 1998).<br />

From each species, fifteen individuals fish<br />

were obtained and stored in pre-washed<br />

polyethylene containers in ice and brought to the<br />

laboratory on the same day of capture. In the<br />

laboratory, the fish sample for each organ<br />

(testes, ovary, kidney, liver, gills and muscle)<br />

from each species was dissected, using clean<br />

equipments and put separately in prewashed<br />

labeled petri dishes and transferred into oven to<br />

dry at 105 ° C for 24 hours. The dried tissues were<br />

placed in Muffle Furnace at 550 ° C for 5 hours.<br />

The dry-ashed samples were cooled at room<br />

temperature then digested in 2N HCl and the<br />

volume completed to 50 ml with distilled deionized<br />

water. The solutions were filtered<br />

(Dalaly and Al-Hakim, 1987). The resulting<br />

solutions of digested water and fish organ were<br />

analyzed by Flame Atomic Absorption<br />

Spectrophotometer (PYE UNICAm SP9-Philips)<br />

for detection of Cu, Cd, Pb and Zn<br />

concentrations according to APHA (1998). All<br />

plastics and glassware used in manipulation of<br />

samples were completely acid-washed and<br />

reagents of analytical grade were utilized for the<br />

17<br />

blanks and calibration curves (Bartram and<br />

Balance, 1996).<br />

All metal concentrations were expressed in<br />

terms of micrograms per gram of dry weight (µg.<br />

gm -1 dry wt.). One way analysis of variance<br />

ANOVA and Duncan’s multiple range test were<br />

used by applying SPSS program version 11.5 to<br />

find out statistical differences among various<br />

parameters according to the recommendations of<br />

Townend (2002).<br />

RESULTS<br />

The concentrations of cupper, cadmium, lead<br />

and zinc in the water of Greater Zab River and<br />

different organs of B. luteus and C.<br />

macrostomum are shown in Table (1) and<br />

Figures (1-4). For B. luteus, the maximum Cu<br />

value of 0.838 µg. gm -1 dry wt. was recorded in<br />

the testis, while the minimum value was 0.400<br />

µg. gm -1 dry wt. in the ovaries. Highest Pb value<br />

was 0.922 and the lowest was 0.409 µg. gm -1 dry<br />

wt. in testes and muscles respectively. On the<br />

other hand, the range of Cd was between 0.938 -<br />

1.537 µg. gm -1 dry wt. in ovary and gills<br />

respectively. Furthermore, the minimum value of<br />

Zn was 0.130 µg. gm -1 dry wt. in both muscles<br />

and ovaries, while the maximum level was<br />

evaluated to 0.260 µg. gm -1 dry wt. in the testes.<br />

Table (1):- Mean values (µg. gm -1 dry weight ± SE) of heavy metals Cu, Cd, Pb and Zn in Greater Zab River<br />

water and various organs of Barbus luteus and Cyprinion macrostomum.<br />

Parameters Copper Cadmium Lead Zinc<br />

Water 0.611±0.058 a 1.221±0.040 a 0.653±0.046 a 0.233±0.026 de<br />

Barbus luteus Testis 0.647±0.100 a 1.244±0.100 a 0.717±0.117 a 0.260±0.000 e<br />

Ovary 0.568±0.089 a 1.181±0.120 a 0.716±0.086 a 0.132±0.001 a<br />

Kidney 0.607±0.057 a 1.258±0.116 a 0.711±0.115 a 0.180±0.000 ab<br />

Liver 0.641±0.057 a 1.249±0.116 a 0.629±0.089 a 0.208±0.002 cd<br />

Gills 0.599±0.057 a 1.238±0.173 a 0.669±0.085 a 0.168±0.002 b<br />

Muscles 0.601±0.115 a 1.245±0.116 a 0.662±0.139 a 0.130±0.000 a<br />

Cyprinion<br />

macrostomum<br />

Testis 0.607±0.002 a 1.275±0.001 b 0.710±0.000 ab 0.125±0.000 ab<br />

Ovary 0.609±0.001 a 1.260±0.000 ab 0.728±0.000 b 0.150±0.012 bc<br />

Kidney 0.601±0.001 a 1.279±0.000 b 0.685±0.000 ab 0.151±0.000 bc<br />

Liver 0.749±0.001 b 1.263±0.000 ab 0.699±0.000 ab 0.160±0.006 bc<br />

Gills 0.622±0.005 a 1.240±0.000 ab 0.675±0.000 ab 0.180±0.012 c<br />

Muscles 0.601±0.000 a 1.257±0.000 ab 0.699±0.000 ab 0.090±0.006 a<br />

Mean values with different letters in each column indicate significant differences (P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 71-77, 2011<br />

Fig. (1):- Mean values (µg. gm -1 dry weight) of Cu in various organs<br />

of Barbus luteus and Cyprinion macrostomum.<br />

Fig. (2):- Mean values (µg. gm -1 dry weight) of Pb in various organs of<br />

Barbus luteus and Cyprinion macrostomum.<br />

17


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 71-77, 2011<br />

17<br />

Fig. (3):- Mean values (µg. gm -1 dry weight) of Cd in various organs of<br />

Barbus luteus and Cyprinion macrostomum.<br />

Fig. (4):- Mean values (µg. gm -1 dry weight) of Zn in various organs of<br />

Barbus luteus and Cyprinion macrostomum.<br />

Statistical analysis results showed that there<br />

were no significant accumulations of the metals<br />

Cu, Cd, Pb and Zn in the tissues of B. luteus<br />

comparing to their concentrations in the water of<br />

Greater Zab River during the period of this<br />

investigation. Moreover, significant differences<br />

(P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 71-77, 2011<br />

of C. macrostomum in the present study was in<br />

the decreasing order of gills ≥ liver ≥ kidney ≥<br />

ovary ≥ testis ≥ muscle. In other words, gills<br />

seemed to be the organ which has the highest<br />

value of Zn followed by liver and kidney. On the<br />

other hand, muscles appeared to be the organ<br />

that has minimum Zn concentration<br />

(0.090±0.006 µg. gm -1 dry wt.) and showed no<br />

significant (P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 71-77, 2011<br />

REFERENCES<br />

� Ahmed, A.M. and Hussein, M.M. (2004). Residual levels<br />

of some heavy metals in fish flesh and water from<br />

El-Manzala Lake, Egypt. J. King Saud Univ. 16(2):<br />

187-196.<br />

� APHA. Standard Methods for the Examination of Water<br />

and Wastewater (1998). Twentieth edition.<br />

American Public Health Association, American<br />

Water work Association (AWWA) and Water<br />

Pollution Control Federation (WPCF). Washington.<br />

� Ayas, Z.; Ekmekci. G.; Yerli, S. and Ozmen, M. (2007).<br />

Heavy metal accumulation in water, sediments and<br />

fishes of Nallihan Bird Paradise, Turkey. J. Environ<br />

Biol. (Online). 28(3):545-549.<br />

� Ayres, R.U. and Ayres, L.W. (2002). A Handbook of<br />

Industrial Ecology. Edward Elgar Publishing Ltd,<br />

UK. 680pp.<br />

� Bartram, J. and Balance, R. (1996). Water Quality<br />

Monitoring (a practical guide to the design and<br />

implementation of freshwater quality studies and<br />

monitoring programmes). United Nations<br />

Environmental Programme-UNEP- and WHO. E &<br />

FN Spon, an imprint of Chapman & Hall. London,<br />

U.K. 383pp.<br />

� Dalaly, B.K. and Al-Hakim, S.H. (1987). Food Analysis.<br />

The book house for press and publication. Univ.<br />

Mosul. Iraq.<br />

� Gad, S.C. (2007). Animal Models in Toxicology. Second<br />

edition. Taylor & Francis Group, CRC Press. New<br />

York. 933pp.<br />

� Hodgson, E. (2004). A Textbook of Modern Toxicology.<br />

Third edition. John Wiley & Sons, Inc. Canada.<br />

557pp.<br />

� Kalay, M.; Ay, Ö. and Canli, M. (1999). Heavy metal<br />

concentrations in fish tissues from the northeast<br />

Mediterranean sea. Bull. Environ. Contam. Toxicol.<br />

(Online). 63(5): 673-681.<br />

� Khopkar, S. M. (2004). Environmental Pollution<br />

"monitoring and control". New International (P)<br />

Ltd. New Delhi, India. 484pp.<br />

� Narayanan, M. and Vinodhini, R. (2008).<br />

Bioaccumulation of heavy metals in organs of fresh<br />

17<br />

water fish Cyprinus carpio (Common carp). Int. J.<br />

Environ. Sci. Tech. 5(2): 179-182.<br />

� Pandey, K; Shukla, J.P. and Trivedi, S.P. (2005).<br />

Fundamentals of Toxicology. New Central Book<br />

Agency (P) Ltd. India. 356pp.<br />

� Rauf, A.; Javed, M. and Ubaidullah, M. (2008). Heavy<br />

metal levels in three major carps (Catla Catla,<br />

Labeo Rohita and Cirrhina Mrigala) from the River<br />

Ravi, Pakistan. Pakistan J. Vet. 29(1): 1-3.<br />

� Saravanan, K.; Ramachandran, S. and Baskar, R. (2005).<br />

Principles of Environmental Science and<br />

Technology. First edition. New Age International<br />

(P) Limited, Publisher. 193 pp.<br />

� Shekha, Y.A. (2008). The effect of Erbil city wastewater<br />

discharge on water quality of Greater Zab River,<br />

and the risks of irrigation. Ph.D. Thesis, Univ. of<br />

Baghdad, Iraq.<br />

� Singh, J.; Kant, K.; Sharma, H. and Rana, K. (2008).<br />

Bioaccumulation of cadmium in tissues of Cirrihna<br />

mrigala and Catla catla. J. Asian Exp. Sci. 22(3):<br />

411-414.<br />

� Timbrell, J. (2000). Principles of Biochemical<br />

Toxicology. Third edition. Taylor & Francis Ltd.<br />

London. 394pp.<br />

� Townend, J. (2002). Practical Statistics for<br />

Environmental and Biological Science. John Wiley<br />

& Sons, Ltd. England. 276pp.<br />

� Viessman, W. and Hammer, M.J. (2005). Water Supply<br />

and Pollution Control. 7th edition. Pearson<br />

Education, Inc. USA. 867 pp.<br />

� WHO-IPCS-Environmental Health Criteria Report, with<br />

ILO and UNEP, International Program of Chemical<br />

Safety (1987). Geneva, Switzerland.<br />

� Williams, P.L; James, R.C and Roberts, S.M. (2000).<br />

Principles of Toxicology: Environmental and<br />

Industrial Applications. Second edition. John Wiley<br />

& Sons, Inc. 603pp.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 71-77, 2011<br />

ةروةط مةد نييةنوبو Barbus luteus يزمةح(<br />

نوط(<br />

مةد نييةنوبو<br />

يسام ةرؤج وود ىناكةناش ةل سروق ىلَيخموت دنةض ىةوةنووبؤكةدهيس<br />

قايرع - ةروةط يباس يرابور يوائ ةل ) Cyprinion macrostomum<br />

ىمادنةئ طةشو ةروةط يباس يرابوِر<br />

Barbus luteus<br />

ىزمةح يسام وود ةل<br />

يياتاو يلَينووب ةكةَلةك ضيه ىزمةح يسام<br />

ةروةط مةد نييةنوب يسام ي)<br />

نادةللَيهو نوط(<br />

(P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

78<br />

ECCENTRICITY OF THE HORIZONTAL AXIAL RESTRAINT<br />

FORCE FOR STRAIGHT AND CAMBERED BEAMS<br />

KANAAN SLIWO YOUKHANNA ATHURAIA * and. RIYADH SHAFIQ AL-RAWI **<br />

* School of Engineering, Faculty of Engineering and Applied Sciences, University of Duhok, Kurdistan Region- Iraq<br />

** Dept. of Civil Engineering, College of Engineering, University of Baghdad-Iraq<br />

(Received: June 17, 2010; Accepted for publication: April 10, 2011)<br />

ABSTRACT<br />

Theoretical formulas to predict the eccentricity of the horizontal axial restraint force (based on strain readings)<br />

for straight and cambered beams were derived. Theoretical formulas to predict the horizontal axial restraint force<br />

were derived too. Four portal frames were cast, two of them are with single span (one with straight beam 50mm x<br />

60mm and other with cambered beam). The effectiveness of cambered beams compared to straight ones are shown<br />

where there is increment in the values of axial compressive force for cambered beams.<br />

KEYWORDS: Beam, Camber, Strain, Eccentricity, Axial Force, Compressive.<br />

W<br />

1. INTRODUCTION<br />

ith the presence of end axial and<br />

rotational restraint, the flexural<br />

behavior of beams or one-way slab strips is quite<br />

different from the behavior of simply -supported<br />

beams or one-way slabs. The rotational restraint<br />

is responsible for the negative flexural moment<br />

at the ends (supports) of the member. This is not<br />

the exact situation which can be suggested<br />

according to the laws of mechanics of an elasticplastic<br />

material like reinforced concrete. Usually<br />

in the analysis and design of continuous beams<br />

and continuous one-way and two-way slabs, the<br />

rotational restraint only is assumed to be present<br />

at the edges of an interior beam or interior slab<br />

panel.<br />

In axially restrained slabs subjected to<br />

membrane forces, these forces were always<br />

theoretically assumed or considered to be acting<br />

at the mid-depth of the slab cross-section<br />

(Brotchie and Holley 1971) (Park 1965) (Park<br />

1964) (Ramesh and Datta 1973) (Fenwick and<br />

Dickson 1989) (Christiansen 1963) (Okleston<br />

1958). This means that the rotational restraint<br />

provided by the torsional stiffness of the<br />

surround was ignored in these analyses. Very<br />

few research works (Guice and Rhomberg<br />

1988) considered the presence of a partial<br />

rotational restraint at the edges of one-way slab<br />

panels, in addition to the partial axial restraint.<br />

This partial rotational restraint was provided by<br />

fixing the edges of the slab panels by cover<br />

plates.<br />

While the development of membrane<br />

compressive action has been attributed to lateral<br />

restraint, some test data (Guice and Rhomberg<br />

1988) suggest that providing lateral restraint is<br />

only one condition required for insuring an<br />

enhancement in load capacity. Guice and<br />

Rhomberg (Guice and Rhomberg 1988) stated<br />

that: “the lateral restraint acting at the midsurface<br />

of slab would permit the edge to rotate<br />

and would apparently provide little or no load<br />

enhancement”.<br />

2. RESEARCH SIGNIFICANCE<br />

The concrete is much better in compression<br />

than in tension, so, there is a need for all<br />

formulas that presents the effectiveness of any<br />

structural configuration (such as camber) in<br />

increasing the compression zone of a concrete<br />

section. In this research, an attempt is made to<br />

do so.<br />

3. EXPERIMENTAL WORK<br />

Four reinforced concrete portal frames were<br />

cast in order to measure the strains at mid-span<br />

of the beams. Using same concrete mix, portal<br />

frames denoted as F1 (single span straight), F2<br />

(single span cambered), F3 (triple span straight)<br />

and F4 (triple span cambered) were prepared.<br />

General layout of the frames is given in<br />

Appendix (A).<br />

3.1 Materials<br />

3.1.1 Cement: Ordinary (type I) Portland<br />

cement was used. The cement was produced<br />

conforming to Iraqi Specifications: No. 5: 1984<br />

[I.O.S. 5/1984]. Its chemical and physical<br />

analyses are shown in Appendix (B).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

3.1.2 Fine aggregate (Sand): The sand was<br />

sieved at sieve size (4.75mm) to get rid of coarse<br />

particles. The sand was then washed and cleaned<br />

by water several times, later it was spread out<br />

and left to dry in normal air. The sand was<br />

conforming to Iraqi Specifications: No. 45:1984<br />

and ASTM C33-86 Specifications [ASTM,<br />

1986]. Its gradation and other properties are<br />

given in Appendix (C).<br />

3.1.3 Coarse Aggregate (Gravel): Gravel was<br />

used as coarse aggregate. It was sieved to a<br />

maximum size of (9.5mm) conforming to ACI<br />

Code provisions, that the maximum size of<br />

aggregate should not be greater than one-fifth of<br />

the narrowest dimension of the concrete section.<br />

The gravel was washed and cleaned several<br />

times (in water) and left in air to dry. Its<br />

gradation and other properties are given in<br />

Appendix (C) and are conforming to ASTM<br />

C33-86 Specifications [ASTM, 1986].<br />

3.1.4 Water: Ordinary drinking water was used<br />

for mixing and curing of the concrete.<br />

3.1.5 Reinforcement: Deformed steel bars<br />

conforming to ASTM A615-86 specifications<br />

were used as reinforcement. The bars were<br />

deformed (5mm) in diameter. Other properties of<br />

the steel reinforcement are given in Appendix<br />

(C).<br />

3.2 Mix Design<br />

Mix design procedure of the ACI Committee<br />

211 (Neville 1995) was followed to design the<br />

proportions of the concrete mix. The mix was<br />

proportioned to have (28 days) cylinder strength<br />

in the range of (25 N/mm2) and the slump is<br />

chosen to be within the range of (50 mm). Trial<br />

batches were made to check the slump of the<br />

mix, and corrections were applied to mix<br />

proportions. Mix proportions (by weights) were<br />

(0.370 : 1 : 1.120 : 1.596) water to cement to<br />

sand to gravel respectively.<br />

All frames were cured (with water) for 28<br />

days after which the strain gages were firmed in<br />

position at mid-span of the beams (interior span<br />

for triple span frames). The uniformly<br />

distributed loads were then gradually applied<br />

and the deflection readings were measured<br />

3.3 Strain Gages<br />

The strain gages were fixed in the required<br />

positions before the application of the uniform<br />

load. The strains were measured using (55mm)<br />

length foil type strain gages by digital strainmeter<br />

(TDS-100) with a capacity of (10)<br />

channels. Some details of the strain gages used<br />

are as follow:<br />

* Foil type. * Precision strain gages.<br />

* Resistance = (120 +- 0.2%) Ohms.<br />

* Gage factor = (2.075 +- 0.5%).<br />

* Measurements Group Inc. (U.S.A.).<br />

Strain gages were fixed in position as<br />

follows:<br />

Strain gage at the top fiber of mid-span,<br />

another strain gage at the bottom fiber of midspan,<br />

two strain gages at mid-depth of mid-span<br />

section each one from one side to take the<br />

average of both for mid-depth strain.<br />

Dead load (DL=2.533 kN/m) were applied<br />

for a period of 35 days after which a live load<br />

(LL=2.043 kN/m) is added to dead load resulting<br />

in total load (DL+LL=4.576 kN/m.<br />

4. STRAIN READING<br />

The experimental measurements of strain<br />

reading are given in Table (1). The general<br />

shapes for the distribution of the strain<br />

reading measurements of all frames are shown in<br />

Fig. (1).<br />

Frame<br />

Table (1) Strain readings at mid-span.<br />

F1 F2<br />

Time +<br />

[Strain (ε) × 10-6] ++ at:<br />

(days) Top Middle Bottom Top Middle Bottom<br />

0 -1009 733 770 -495 -235 423<br />

9 -1002 780 812 -564 -246 475<br />

29 -1051 822 860 -537 -213 590<br />

46 -1418 1253 1384 -813 -330 956<br />

Frame F3 F4<br />

Time +<br />

[Strain (ε) × 10-6] ++ at:<br />

(days) Top Middle Bottom Top Middle Bottom<br />

0 -1520 -452 82 -1427 -878 -272<br />

9 -1610 -469 92 -1576 -817 -296<br />

29 -1702 -487 93 -1662 -980 -316<br />

46 -2053 -226 125 -2252 -906 -348<br />

+ Time is measured relatively to the first reading.<br />

++ The load of first three readings were dead load only, while for the last reading, it was (dead + live) loads.<br />

Cracks occurred in the case of the third and fourth readings (29 & 46 days).<br />

79


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

80<br />

h/2<br />

h/2<br />

5. THEORETICAL BACKGROUND<br />

In cambered beams, the difference<br />

between fully axially restrained and partially<br />

axially-rotationally restrained beams is much<br />

strict than in slabs, because the depth to width<br />

(h/b) ratio is higher in beams than in slabs. In<br />

axially restrained beams, the restraint force must<br />

be at the mid-depth point which idealizes the<br />

hinges, while in partially axially-rotationally<br />

restrained beams, that idealizes the actual<br />

connection of framed members, the restraint<br />

force must be eccentric or accompanied with a<br />

fixed end moment.<br />

Theoretically as shown in Fig. (2), it can<br />

be assumed that the eccentricity (e) of the total<br />

horizontal axial force (Fc) from the center line of<br />

the beam section is equal to the distance of the<br />

internal concrete compressive force from the<br />

center line, i.e.:<br />

6. EXPERIMENTAL PREDICTION OF<br />

ECCENTRICITY<br />

Experimentally, by measuring the strain at<br />

different locations (Top, Mid-depth and Bottom)<br />

Fig. (1): Measured strain diagrams of beams at mid-span.<br />

d<br />

b<br />

(a) (b) (c) (d)<br />

As<br />

N.A<br />

εB<br />

b<br />

εm<br />

c<br />

εT<br />

h/2<br />

h/2<br />

FC<br />

e<br />

N.A<br />

c<br />

εT<br />

e<br />

εm<br />

εB<br />

h ar<br />

e �<br />

2 2<br />

� ………… (1)<br />

where: h is the overall depth of the concrete<br />

section.<br />

r a is the equivalent rectangular stress<br />

block depth of restrained member.<br />

e is the eccentricity of total<br />

compressive force.<br />

and<br />

ar<br />

FC<br />

As<br />

f y � N<br />

� ………… (2)<br />

0.<br />

85f<br />

`c<br />

b<br />

Fig. (2): Eccentricity of the axial force.<br />

ar<br />

c<br />

εm<br />

εT<br />

εB<br />

N.A<br />

FC e<br />

where As is the area of steel reinforcement<br />

fy is the yield tensile strength of steel<br />

reinforcement.<br />

f`c is the compressive strength of<br />

concrete.<br />

N is the axial compressive force.<br />

b is the width of concrete section.<br />

0.85f`c<br />

e<br />

Fc<br />

T=Asfy<br />

of the beam section, it may be possible to<br />

estimate the eccentricity of the total horizontal<br />

axial compressive force (FC).<br />

For the strain diagram as that shown in<br />

Fig.(1.b), the eccentricity can be written as:


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

eexp<br />

h<br />

[ 3 � (<br />

�T<br />

)]<br />

6 �T<br />

� �m<br />

� …………… (3)<br />

where eexp is the experimental eccentricity of<br />

total compressive force.<br />

εm is the strain at mid-depth of concrete<br />

section.<br />

εT is the strain at top of concrete section.<br />

h is the overall depth of concrete<br />

section.<br />

While for that shown in Fig.( 1.c), it can be<br />

written as:<br />

h<br />

eexp ( 3 � y<br />

1<br />

)<br />

6<br />

Where:<br />

y<br />

1<br />

And<br />

� …………… (4)<br />

2<br />

2<br />

� ( �m<br />

� 2�T<br />

) � �m<br />

( 3�<br />

B<br />

� 4�<br />

m )<br />

� ……. (5)<br />

�.[<br />

�.(<br />

�T<br />

) � �m<br />

( � B<br />

� 2�<br />

m )]<br />

B m � � � � � …………… (6)<br />

Where εB is the strain at the bottom of the<br />

concrete section.<br />

For the strain diagram shown in Fig.( 1.d),<br />

the eccentricity is:<br />

h<br />

exp � ( y<br />

2<br />

� 3)<br />

6<br />

e ……………… (7)<br />

Where:<br />

5�T�6�m��B y 2 �<br />

� �2��� T m B<br />

….…… (8)<br />

Table (2) gives numerical values for the<br />

eccentricities of the portal frames of the present<br />

study. Figure (3) shows the relation of the ratio<br />

(eexp/h) with time. It can be seen that for the<br />

single span portal frames (F1 and F2), the<br />

camber effect is to decrease the eccentricity [at<br />

mid-span], this is due to the increase in the<br />

compressive zone of the beam section. A<br />

superior effect of the interior span compared to<br />

the single span is recognized by the small<br />

eccentricities of frames (F3 & F4) compared to<br />

that of frames (F1 & F2).<br />

Direct Axial Compressive Force (N)<br />

Considering Eq. (9) (Athuraia 2004):<br />

c<br />

As<br />

f y � N<br />

� ………………….. (9)<br />

0. 85�<br />

1<br />

f `c<br />

b<br />

The direct axial compressive force (N), may<br />

be written as:<br />

y f<br />

N � 0. 85�<br />

1<br />

f `c<br />

b.<br />

c � As<br />

.…..… ….. (10)<br />

Substituting (cexp) for (c), a semi-empirical<br />

formula would be:<br />

y f<br />

N � 0. 85�<br />

1<br />

f `c<br />

b.<br />

cexp<br />

� As<br />

……. (11)<br />

Where the term (As.fy) represents the axial<br />

force provided by steel reinforcement<br />

From Fig. (1), the following relations may be<br />

derived to calculate (cexp):<br />

For the strain diagram shown in Fig. (1.b),<br />

the experimental position of the neutral axis is<br />

given by:<br />

c<br />

h<br />

(<br />

�T<br />

)<br />

2 �T<br />

� �m<br />

� ……………… (12)<br />

where � B is the strain at bottom of concrete<br />

section.<br />

� T is the strain at top of concrete section.<br />

h is the overall depth of concrete section.<br />

For that shown in Fig. (1.c), the neutral axis<br />

position is:<br />

c<br />

h 2�<br />

m � �<br />

(<br />

B<br />

)<br />

2 �m<br />

� � B<br />

� …………...…. (13)<br />

Where m �<br />

: Strain at mid-depth of concrete<br />

section.<br />

While for the strain distribution as that shown<br />

in Fig. (1.d), the neutral axis position is given<br />

by:<br />

c<br />

h 2�<br />

m � �<br />

(<br />

B<br />

)<br />

2 �m<br />

� � B<br />

� …………… (14)<br />

Substituting the numerical values of (cexp)<br />

calculated by using Eqs. (12), (13) and (14), and<br />

given in Table (3), the direct axial compressive<br />

force (N) would be as those given in Table (4).<br />

Figure (4) shows the relationship between axial<br />

force (N) and time.<br />

It can be noticed that for the single span<br />

portal frame (F1) after increasing load, the axial<br />

compressive force inflects into an axial tension<br />

one. It is believed that this is due to excessive<br />

deflection that occurs with increased load that<br />

tends to make the eccentricity of the axial force<br />

greater than (h/2) and the line of action for this<br />

axial force to be out of the section, which<br />

produces a moment same as that of the flexural<br />

loads . The beneficial effect of camber<br />

(especially for an interior span) can also be seen.<br />

Eq. (11) is a general one with respect to<br />

(cexp). Substituting Eqs. (12), (13) and (14) into<br />

81


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

Eq.(11), the following equations can be<br />

predicted:<br />

82<br />

y f<br />

�<br />

( N )<br />

bh<br />

T<br />

exp � 0.<br />

425�<br />

1<br />

f `c<br />

( ) � As<br />

. …(15)<br />

�T<br />

� �m<br />

� B<br />

� 2�m<br />

( N ) exp � 0.<br />

425�<br />

1<br />

f `c<br />

bh(<br />

) � As<br />

. f y …(16)<br />

� B<br />

� �m<br />

7. CONCLUSIONS<br />

Theoretical formulae were derived to predict<br />

the eccentricity of axial compressive force.<br />

Force (N)<br />

e / h<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0<br />

Fig. (3) Relation of (e/h) with time.<br />

Fig. (4) Relation of force "N" with time.<br />

2�m<br />

� �<br />

( N )<br />

f bh<br />

B<br />

exp � 0.<br />

425<br />

1<br />

`c<br />

( ) � As<br />

. f y<br />

�m<br />

� � B<br />

Fig.(3) Relation of (e/h) with time.<br />

� … (17)<br />

Where all strains (ε) are in absolute values.<br />

0 20 40 60<br />

Time (Days)<br />

F1 F2 F3 F4<br />

Fig. (4) Relation of force "N" with time.<br />

0 10 20 30 40 50<br />

Time (Days)<br />

F1 F2 F3 F4<br />

Another theoretical formulae were derived to<br />

predict the axial compressive force.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

Frame F1<br />

Frame F3<br />

APPENDIX (A)<br />

Fig. (A.1) Photos of portal frames.<br />

Beam section: (50x60) mm.<br />

Column section: (50x70) mm.<br />

Footing section for frames (F1&F2): (0.3x0.3x0.1) m.<br />

Footing section for frames (F3&F4): (0.4x0.4x0.1) m.<br />

Clear height of columns = 0.5 m.<br />

Both beams and columns are reinforced by: 2 – φ 5 mm<br />

Column stirrups: φ 5 mm @ 50 mm c/c (Stirrups),<br />

Beam stirrups: as per ACI code [Nilson & Winter, 1986]<br />

Footing for frame (F1) is reinforced by 3 - φ 5 mm<br />

(one layer in both directions)<br />

Footing for frame (F2) is reinforced by 5 - φ 5 mm<br />

(one layer in both directions)<br />

Frame F1<br />

1.0 m<br />

Frame F3<br />

Frame F2<br />

Frame F4<br />

0.5 1.0 m<br />

0.5<br />

Frame F4<br />

Frame F2<br />

1.0 m<br />

Fig. (A.2) General layout of portal frames.<br />

Fif (2): General layout of portal frames.<br />

83


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

APPENDIX (B)<br />

CHEMICAL AND PHYSICAL PROPERTIES OF ORDINARY CEMENT<br />

As tested by the National Center for Constructional Laboratories (NCCL).<br />

84<br />

B.1 CHEMICAL PROPERTIES<br />

Oxide<br />

%<br />

B.S. 882:1973<br />

Composition<br />

By Weight<br />

Limiting values<br />

SiO2 21.20<br />

CaO 61.98<br />

MgO 3.00 Max. 4 % +<br />

Fe2O3 3.28 Al2O3/Fe2O3 > 0.66<br />

Al2O3<br />

5.72<br />

SO3 2.48 Max. 3 % ++<br />

L.O.I. 1.26 Max. 4 %<br />

Ins. Residue 0.89 Max. 1.5 %<br />

L.S.F. 0.88 Min. 0.66<br />

Max. 1.02<br />

+<br />

Iraqi Standards No. 5 required 5 % as Max.<br />

++ Iraqi Standards No. 5 required 2.8 % as Max.<br />

++ B.S. 882: 1973 requirements are: SO3 = 2.5% Max.<br />

when C3A is equal or less than<br />

Compound Composition %<br />

By Weight<br />

C3S 41.01<br />

C2S 29.84<br />

C3A 9.91<br />

C4AF 9.98<br />

B.2 PHYSICAL PROPERTIES<br />

Property Value Limiting Values<br />

[IQS-NO.5/1984]<br />

Fineness Blaine 312 m2/kg Min. 230 m2/kg<br />

Setting Time<br />

(Vicat)<br />

Compressive<br />

Strength<br />

Soundness<br />

Initial<br />

160 minute Min. 45 minute<br />

Final 290 minute Max. 600 minute<br />

3 days 16.09 N/mm2 Min. 15 N/mm2<br />

7 days 25.90 N/mm2 Min. 23 N/mm2<br />

Auto-Clave 0.20 % Max. 0.80 %<br />

APPENDIX (C)<br />

GRADATION AND OTHER PROPERTIES OF SAND AND GRAVEL<br />

AND PROPERTIES OF REINFORCEMENT<br />

C.1 Gradation and other properties of sand<br />

Sieve %<br />

% Passing according to:<br />

Size Passing IQS - 45 ASTM- B.S. 882:<br />

(mm)<br />

C33-86 1973 +<br />

10.00 100 100 100 100<br />

4.75 100 90-100 95-100 90-100<br />

2.36 90 75-100 80-100 75-100<br />

1.18 71 55-90 50-85 55-90<br />

0.60 52 35-59 25-60 35-59<br />

0.30 24 8-30 10-30 8-30<br />

0.15 4 0-10 2-10 0-10<br />

Sulphate Content = 0.11 % (max. limit = 0.5 %)<br />

Specific Gravity = 2.64<br />

Absorption = 0.70 %<br />

+ Grading area (zone) number (2).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

REFERENCES<br />

Sieve Size (mm) %<br />

Passing<br />

C.2 Gradation and other properties of gravel<br />

% Passing according to :<br />

ASTM–C33-86 B.S. 882: 1973<br />

& IQS-45/1980<br />

12.5 100 100 100<br />

9.5 100 85-100 85-100<br />

4.75 17 10-30 0-25<br />

2.36 0.4 0-10 0-5<br />

1.18 0.2 0-5 ---<br />

Sulphate Content = 0.09 % (max. limit = 0.1 %)<br />

Specific Gravity = 2.57<br />

Absorption = 0.70 %<br />

- Brotchie, J. F., and Holley, M. J. (1971). Membrane<br />

Action in Slabs, ACI Special Publication Paper SP 30-16,<br />

pp. 345-377.<br />

- - Park, R.(1965). The Lateral Stiffness and Strength<br />

Required to Ensure Membrane Action at the Ultimate Load<br />

of a Reinforced Concrete Slab - and – Beam Floor.<br />

Magazine of Concrete Research (London), Vol. 17, No. 50,<br />

March, pp. 29-38.<br />

- Park, R. (1964). Ultimate Strength of Rectangular<br />

Concrete Slabs Under Short Term Uniform Loading<br />

with Edges Restrained Against Lateral Movement,<br />

Proceedings of the Institution of Civil Engineers (London),<br />

Vol. 28, June, pp. 125-150.<br />

- Ramesh, C. K., and Datta, T. K. (1973). Ultimate<br />

Strength of Reinforced Concrete Slab-Beam System–A<br />

New Approach. Indian Concrete Journal, Vol. 5, No. 3,<br />

August, pp. 301-308.<br />

- Fenwick, Richard C., and Dickson, Andrew R. (1989).<br />

Slabs subjected to Concentrated Loading. ACI Structural<br />

C.3 Steel bars (Reinforcing)<br />

As tested by:<br />

the Central Institution for Measuring and Quality Control.<br />

Deformed<br />

(diameter)<br />

bars<br />

5 mm<br />

Yield strength 774 N/mm2<br />

Ultimate strength 793 N/mm2<br />

Elongation 3 %<br />

Journal, Vol. 86, No. 6, November-December, pp. 672-<br />

678.<br />

- Christiansen, K. P. (1963). The Effect of Membrane<br />

Stresses on the Ultimate Strength of the Interior Panel in a<br />

Reinforced Concrete Slab. The Structural Engineer, Vol.<br />

41, August, pp.261-265.<br />

- Okleston, A. J. (1958). Arching Action in Reinforced<br />

Concrete Slabs. The Structural Engineer, V.36, June,<br />

pp.197-201.<br />

- Guice, Leslie K., and Rhomberg, Edward J. (1988).<br />

Membrane Action in Partially Restrained Slabs. ACI<br />

Structural Journal, Vol. 86 , No. 4 , July-August, pp.365-<br />

373.<br />

- Neville, A. M. (1995). Properties of Concrete”, 4th Ed.,<br />

The English Language Book Society-Pitman Publishing,<br />

London.<br />

- Athuraia, Kanaan Sliwo (2004). Effect of Membrane<br />

Action on Results of Load Test. Ph. D. thesis, Baghdad<br />

University, College of Engineering, Baghdad, IRAQ.<br />

85


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 78-86, 2011<br />

نَيي<br />

ىنووضلةه نَيندناخ<br />

ب دراثشار(<br />

يوشائاي يرةوةت ايادَيرط<br />

اسَيهاي<br />

َيرةتنةش ايهادوج انركرايرد ايرويت نَينتشراد<br />

86<br />

ةتخوث<br />

راض . يوشائاي ىرةوةت ايادَيرط<br />

اسَيه<br />

انركرايد ايرويت نَينتشراد<br />

اشةورةه . نترطرةو ةنتاه ىدنامةضو تشار نَيكنيزارةد<br />

ىدايو ممم ) 05 × 05(<br />

ةتشاراي ناوذ<br />

كةي اكنيزارةد[<br />

ةيةه ىهلااظ كةي ناوذ<br />

ود . نرك باش ةنتاه رطلةه نَير<br />

ةكيةث<br />

ينكنيزارةد لةطد نرك دراورةب ب نركرايد ةنتاه ىدنامةض نَيكنيزارةد<br />

انركَيلراك<br />

تابتعل ) لاعفنلإا تاءارقل دانتسلإاب(<br />

. ] ةي<br />

ىدنامةضاي ىواكنيزارةد<br />

. ىةهاياد ىدنامةض نَيكنيزارةد<br />

اي ىرةوةت اراشف نَيياوبد<br />

كةيهةدَيز<br />

يذوةئ<br />

. تشار<br />

ةصلاخلا<br />

ةيقفلأا ةيروحملا ةديقملا ةوقلل يزكرملا فلاتخلإا داجيلأ ةيرظن غيص قاقتشإ مت<br />

نانثإ ،ةلماح لكايه عبرأ بص مت . ةيقفلأا ةيروحملا ةديقملا ةوقلا داجيلإ ةيرظن غيص قاقتشإ مت ًاضيأ . ةسوقمو ةميقتسم<br />

تابتعلا ةيلاعف راهظإ مت .] ةسوقم ةبتع تاذ رخلآاو ملم ) 05 x 05(<br />

ةميقتسم ةبتع تاذ اهدحأ[<br />

دحاو ءاضف تاذ اهنم<br />

.<br />

ةسوقملا تابتعلل ةيروحملا طاغضنلإا ةوق ميقب ةدايز كانه ثيح ةميقتسملا تابتعلاب ةنراقم ةسوقملا


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

THREE DIMENSIONAL REPRESENTATION OF A REMOTE STRUCTURE<br />

USING REFLECTORLESS TOTAL STATION INSTRUMENT<br />

RAAD AWAD KATTAN and SAMI MAMLOOK GILYANA<br />

School of Engineering, Faculty of Engineering and Applied Sciences, University of Dohuk, Kurdistan Region-Iraq<br />

(Received: June 12, 2010; Accepted for publication: February 27, 2011)<br />

ABSTRACT<br />

Remote structures and objects are always make a great measuring challenge to the engineers and surveyors.<br />

Even with the introduction of the EDM instrument, a reflector has to be placed at the observed point. In this study, a<br />

reflectorless total station instrument works with red light laser was used. The objective is to measure and visualize the<br />

3d coordinates of a remote roof dome. 330 points were observed from 5 control points. For this purpose the<br />

instrument was checked and the spatial accuracy was in the range of 2mm. Points were imported to the AutoCAD<br />

software and it was possible to present the data in different forms. Contour lines, sections shaded 3d surface are<br />

presented. Deviations of the surface from the perfect spherical shape were measured. Polynomial surface was<br />

generated to fit the point cloud.<br />

KEYWORDS:- Reflectorless, Total Station, 3d Measurements, Structures, Dome<br />

R<br />

1-INTRODUCTION<br />

emote structures such as high rise<br />

towers, domes, bridges, elevated<br />

motorways, dams, require special techniques in<br />

observations and measurements. Ordinary<br />

observation by total station instruments,[4] is<br />

difficult or impossible as there is no way to place<br />

the reflector on the selected points on these<br />

structures. Fragile and delicate objects such as<br />

glass or plastic structures, ancient sites are added<br />

to such list of objects which cannot be measured<br />

using conventional surveying methods. The<br />

object in question in this project represents a<br />

problem to be tackled. It is a semispherical dome<br />

made of polycarbonate sheets supported on a<br />

metal frame. The aim is to have a 3-D model of<br />

this object<br />

2-REVIEW OF THE 3-D MEASUREMENT<br />

TECHNIQUES<br />

Different techniques are regularly used in<br />

remote object surveying among these are:<br />

1-Close range photogrammetric methods:<br />

Indirect observation of targets are carried out<br />

using pairs of close range images. Known<br />

control points are to be placed in the scene and<br />

through the well known solutions such as<br />

collinearity, coplainarity, DLT solutions, 3-D<br />

ground point coordinates can be computed,[3]<br />

2-Laser scanning technique is the most recent<br />

method. Instruments generating laser beam scan<br />

the required objects sequentially. The reflected<br />

laser signal plus the horizontal and vertical<br />

angles can be converted into 3-D coordinates.<br />

Millions of observation can be generated<br />

sequentially. A 3-D model can be generated.<br />

Such systems are still experimental and<br />

relatively expensive, [8].<br />

3-The conventional intersection method: a base<br />

line is placed at some distance from the object<br />

and horizontal and vertical angle observations<br />

are to be taken to each target from the two ends<br />

of the base line. The accuracy of this method<br />

depends mainly on the accuracy of angle<br />

observations . this method proved to be accurate<br />

and efficient, but it is time consuming and<br />

demanding,[1],[2].<br />

4-Using the reflectorless total station<br />

instruments,[8]: This technique has been tried in<br />

this research and will be dealt with in more<br />

details.<br />

3-THE REFLECTORLESS TOTAL STATION<br />

The total station instrument used is the Leica<br />

TCR1101, figure(1). The instrument can<br />

operates in two modes; the first is the reflector<br />

mode using the infrared radiation, and the<br />

second is the reflectorless mode using the red<br />

laser.<br />

In this project the reflector mode was used to<br />

establish control points around the studied<br />

object. The reflectorless mode was used to<br />

observe the selected points on the dome.<br />

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According to the manufacture specifications<br />

the instrument has the accuracy mentioned in<br />

table (1)<br />

Fig, (1): The reflectorless total station TCR1101<br />

Table (1): Manufacture specification of the TCR 1101 total station<br />

Angle accuracy ±1.5˝<br />

Distance accuracy ±2mm±2ppm reflector mode<br />

±3mm±2ppm reflectorless mode<br />

Range in average atmospheric condition 3km reflector mode<br />

80m reflectorless mode, standard range<br />

Measuring time 3sec reflectorless mode<br />

The laser spot has an elliptical shape and it<br />

can be seen as a pulse on the observed object in<br />

dim weather. The spot has the following<br />

dimensions as it appears on the object:<br />

At 50 m: approx. 10 mm x 20 mm<br />

At 100 m: approx. 15 mm x 30 mm<br />

At 200 m: approx. 30 mm x 60 mm<br />

The spot dimension effect directly the<br />

measurement accuracy. As the spot size<br />

increases the uncertainty of the measurements<br />

increases.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

Fig. (2 ): A close view on the display screen of the instrument<br />

4- INSTRUMENT CHECK<br />

A test was made to check the spatial accuracy<br />

of the instrument. Two points A and B were set<br />

at a horizontal distance of 7m and a vertical<br />

distance of 1m,figure(3). Screws with bolt head<br />

The instrument was setup on point S in<br />

similar configuration to that will be used in<br />

observing the spherical dome. Arbitrary<br />

coordinates were given to point S and arbitrary<br />

azimuth were given. The total station instrument<br />

(in Tie Distance mode) was targeted to point A<br />

and then to B. Full observation were made at<br />

each point. The instrument then automatically<br />

display point coordinates, horizontal, vertical,<br />

and slope distance between points A and B. It is<br />

the slope distance which was more important to<br />

us. The slope distance represents the resultant of<br />

the difference in coordinates and equal to<br />

[sqrt(∆E 2 +∆N 2 +∆H 2 )].<br />

The instrument displayed the slope distance<br />

AB=7.062m. A steel tape was used to measure<br />

directly this distance. Tape value was=7.060m.<br />

A difference of 2mm is quiet acceptable value,<br />

knowing that the bolt head diameter=7mm.<br />

Fig. (3): The instrument check setup<br />

are used for observation at point A and B. These<br />

are of the same type fixed on the dome and used<br />

for observing the dome points. The diameter of<br />

the bolt head=7mm.<br />

5- OBJECT DESCRIPTION<br />

The selected object in this project is a<br />

semispherical transparent roof at the top of a<br />

3- story building ,figure (4). The dome is made<br />

of polycarbonate panels supported on a metal<br />

frame consisted of 24 steel strips joined together<br />

at the top. The diameter of the dome at the base<br />

is equal to 7.4m. Its height from its concrete base<br />

is equal to 2.2m.<br />

6-MEASUREMENTS AND DATA<br />

COLLECTION<br />

Three control points A,B, and C were<br />

selected around the dome on the roof surface.<br />

The control points make an approximately an<br />

equilateral triangle with side length of about<br />

15m. Two additional points D and E at a height<br />

of 1.5m were selected later on the top of two<br />

small rooms to allow for elevated platform,<br />

figure(5)<br />

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A UTM coordinates were assigned to the<br />

control points using previously observed GPS<br />

point on the roof of the building. The UTM<br />

coordinate values will help in proper orientation<br />

of the survey.<br />

At each control point an accurate set up was<br />

made. Centering was made using the laser<br />

plummet spot. Leveling was achieved using the<br />

electronically sensitive bubble.<br />

After measuring the height of the instrument<br />

and height of target and feeding them to the<br />

instrument, a back sight is made on the next<br />

control point. On IR mode of observation with a<br />

reflector, ordinary traverse data is recorded to<br />

the observed control point. The instrument is<br />

then switched to the reflectorless mode and the<br />

observations will be carried out by using laser<br />

pulses. The telescope is pointed to small screw<br />

heads located on the dome metal strips.<br />

Observation of these points can constitute a<br />

complete 3-D model. After sighting each point,<br />

Fig. (4 ): Observation from traverse control point<br />

Fig. ( 5 ): Observation at the elevated point (D)<br />

a one button touch will measure the slope<br />

distance, horizontal and vertical angles. The<br />

instrument will change these values to a<br />

northing, easting, and elevation and store them<br />

sequentially according to the assigned point<br />

number sequence. The instrument screen display<br />

the point ID number and the three coordinates,<br />

figure(2 ). From each control point more than<br />

100 points were observed. The total number of<br />

observed points were=330. All observations<br />

were made in cloudy weather to avoid the effect<br />

of bright light on the laser spot.<br />

Points on the top of the object could not be<br />

observed from the control points A,B, and C.<br />

Therefore the instrument had to be transferred to<br />

the elevated points D and . From there good<br />

observation view was possible.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

7-DATA TRANSFER<br />

At the end of each observation session the<br />

data is transferred via a special cable to a laptop<br />

Fig. (6): The transformation of the data to the computer<br />

computer, (figure 6 ). In Excel format the data<br />

consists of point number, point description and<br />

the Northing, Easting and Elevation, (figure 7-a )<br />

Fig. (7): a- Data page in excel format b-Reduced data<br />

As it is not very practical to handle the UTM<br />

large figure coordinates, constants were<br />

subtracted from each coordinate value, changing<br />

the easting to X , the northing to Y and the<br />

elevation to a Z coordinates as shown in figure<br />

(7 -b). A constant value of 510 was subtracted<br />

from the elevation of all points. Some of the<br />

points with elevations less than 510 appear<br />

negative. The X,Y,Z coordinates were saved in<br />

text format.<br />

8-GRAPHICAPHICAL REPRESENTATION<br />

AND DATA ANALYSIS<br />

On the AutoCAD Civil 3-D Land2009<br />

program the X,Y,Z coordinates were imported<br />

and displayed with their actual elevations. The<br />

command :Point-Import/Export Point-Import<br />

Point was used. The format of the file was<br />

E,N,Z space delimited. This will match the text<br />

X,Y,Z file. Figure (8 ) shows the points after the<br />

import process. The figure shows a gap area on<br />

the top of the object. This is due to a lack of<br />

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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

observations on this location. At this stage few<br />

points on the top of the object appear to deviate<br />

from the mean surface. On plotting contour<br />

lines, fault contours were very apparent. For this<br />

reason, 3 points were eliminated from the data<br />

set.<br />

Fig. (8): The display of the imported points. Only elevations are show<br />

Through the command terrain, terrain model<br />

explorer, a surface was created. Points file of the<br />

surface was added and selected from AutoCAD<br />

object. A surface was built and contour lines<br />

representing the shape of the dome were plotted<br />

at interval of 0.2m. The shape of the contour<br />

lines was approximately concentric circles,<br />

(figure9 ). Figure ( 10) shows the contour lines<br />

pattern in isometric projection.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

3-D Polylines were used to connect between the<br />

points located on one metal strip,. This will help<br />

Fig. (9): Surface contour lines at interval=0.2m<br />

Fig. (10): Isometric projection of the dome surface<br />

in visualizing the real shape of the object, (figure<br />

11).<br />

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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

The AutoCAD program helped in drawing<br />

section through the spherical dome. Figure ( 12 )<br />

shows one section passing through the centre of<br />

Using the command Terrain- Surface<br />

Display-3D Face, the shaded face of the dome<br />

Fig. (11): The dome metal strips<br />

Fig. (12): Section passing through the centre of the dome<br />

the dome. The section shows the slightly<br />

unsymmetrical shape of the object. This is<br />

probably due to the erection process.<br />

could be displayed approximating the shape to<br />

the real object, (figure13).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

Fig. (13): Shaded terrain surface display<br />

Fig. (14): A circle of diameter=7.23 m shows the slight manufacturing error<br />

Figure (14) shows the top view of the dome<br />

enclosed by a perfect circle of diameter=7.23m.<br />

the slightly elliptical shape of the dome is<br />

apparent. The axes measured from the<br />

AutoCAD plot was =7.45m and 7.12m. The<br />

difference between the two dome axes= 33cm<br />

and its cause is a manufacturing error.<br />

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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

Fig. (15) : A circle of diameter =7.48m drawn next to the dome section<br />

Figure (15) shows the deviation of the<br />

vertical section from the perfect circle plotted<br />

next to it. 15-20 cm deviation is observed at each<br />

side.<br />

A full cubic polynomial surface was tried to<br />

fit the dome surface. The polynomial was<br />

z = a + bx + cy + d 2 + ey 2 + fx 3 + gy 3 + hxy +<br />

ix2y + jxy<br />

A solution was made to the coefficients<br />

using all the 330 X,Y, and Z coordinates, i.e<br />

yielding 330 equations to be solved by least<br />

squares. The coefficients value was<br />

a = -1.7536699072728794E+01 b =<br />

1.5955209680572433E+00<br />

c = 3.2815673198281274E+00<br />

Figure (17) shows the scatter points plotted in<br />

the Z-Y and Z-X plane. This plot helps in<br />

visualizing any error in any point coordinates.<br />

The error will make the point floating above the<br />

surface. Fault points can be eventually erased.<br />

Fig. (16): Full cubic polynomial Surface plot<br />

d = -1.1415928774895295E-01 e =<br />

-1.7923917396961178E-01<br />

f = -2.8904480389045813E-03<br />

g = 4.9398526804153640E-04 h =<br />

1.4269793489451468E-02<br />

i = -8.8434044874405174E-04<br />

j = -1.3692450329015515E-03<br />

The R-squared= 0.989513646887<br />

Standard Error of Mean: in X= 9.858556E-02<br />

in Y= 9.107441E-02 in Z=3.975666E-02<br />

These values represents the deviation of the<br />

points from the assigned poly surface.<br />

Figure (16) shows a 3D plot of the poly<br />

surface<br />

Figure (18) shows the scattered points in the<br />

X-Y plane and contour plot at 0.2m interval.<br />

These plots were done with the aid of an on<br />

line processing in a web site [ 5 ]


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

Fig. (17): Z data vs. Y data Z data vs. X data<br />

Fig.(18): X data vs. Y data Contour plot<br />

9-CONCLUSIONS AND DISCUSSION<br />

1-Remote objects such as high rise roofs or high<br />

rise motorway structures can be easily<br />

measured and checked using this technique. A<br />

deflection in the bottom of high rise surfaces<br />

could be measured and visualized with sufficient<br />

accuracy.<br />

2-The metal surface bolts on the fairly reflected<br />

sheets did not contribute in large amount of error<br />

due to scattering and reflection.<br />

Some error were accounted for in points located<br />

at the top of the dome. One reason is probably<br />

due to the angle of the laser light makes with the<br />

bolt head. As the points rise, the angle will<br />

highly deviated from 90 degree, figure(19) With<br />

the few millimeter instrument accuracy, the large<br />

size of the target could lead to some accountable<br />

error.<br />

Fig. (19): deviation of the reflection angle from 90° could lead to some error.<br />

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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

3-Some points on the dome top surface and one<br />

metal strip are deliberately left missing. It was<br />

possible to observed these but leaving them<br />

could indicate the effect of these missing points<br />

on the final presentation. Contour lines on the<br />

top of the object suffer from this shortage,<br />

figure(14).<br />

4-The roof surface shape is not meant to be<br />

made highly perfect spherical dome. The<br />

workmen probably use their prior experience in<br />

the erection process. And some deviation is<br />

highly expected. However the present<br />

measuring system proved to be capable of high<br />

degree of accuracy and it can be used in surface<br />

construction checks.<br />

5-The system was checked at short distances less<br />

than 20m. Further test have to be made at longer<br />

ranges, up to the declared maximum range.<br />

6-Life is getting even more easier. The<br />

motorized version of the reflectorless total<br />

station could automatically scan a surface at<br />

fixed distance scan interval. This will help in<br />

producing DTM with large huge number of<br />

points representing remote surfaces.<br />

REFERENCES<br />

- Barry F. Kavanagh,(2008),Surveying Principles and<br />

Applications, (8th Edition), Prentice Hall<br />

- F. Moffitt ,(1997),Surveying ,(10th Edition), Prentice Hall<br />

- Kattan, R, Balata F.( 2007).Ground coordinate<br />

measurements using satellite images and terrestrial<br />

photographs. Journal of Dohuk University, vol.10,no2,<br />

- Kattan, R. Zidan A. (1995)Automated surveying system.<br />

The First Iraqi Technological Conference, Baghdad<br />

- “On line curve fitting and surface fitting”, Web site,<br />

http://zunzun.com/.<br />

- Department of Maritime Archaeology Western Australian<br />

Museum,(2006), Total Station How to do it, Web site,<br />

Manual Report , No. 220<br />

- Boehnlein , D.“Tests of the Leica Total Station for Survey<br />

& Alignment”, Report no.NuMI-L-637 . Web site<br />

- Irvine W., Maclennan F., (2006),Surveying For<br />

Construction ,(5th Edition), McGraw Hill


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 87-99, 2011<br />

اناهيئزاك<br />

ب<br />

َىتخةو<br />

وخو َىناظيثوز<br />

وَييزايشادنةئ<br />

وب<br />

ادَيناظيثو<br />

طنةتضائ<br />

ةهيبد زةدةظ<br />

وَينجامزائ<br />

وائ<br />

ةشنوم<br />

وَيتاًكَيث<br />

ةتخوث<br />

زةض ل ىدناجضةض<br />

ةهَيًب<br />

ييرمائ اناوةضيث<br />

وَيظد<br />

) EDM ( يطتاهغموسيةك اكريت ب ىةكدزاك وَيي<br />

ايتاسيود اناظيث<br />

وَييرمائ<br />

يزةصَيل<br />

و<br />

اكريت<br />

ىسكةتاي<br />

ب<br />

تةكدزاك<br />

–<br />

ةناوةضيث<br />

َىي<br />

مامةت<br />

َىكةيةطصَيو<br />

–<br />

َىناظيث<br />

َىيرمائ<br />

ىاهيئزاك<br />

ب<br />

. ىاظيث<br />

ةهيتاي وَيلاخ<br />

ادَيهيلوكةظ<br />

. زايدةن َىو<br />

وَيلاخ<br />

اكةبوق َىناب<br />

وب ييلا َىض<br />

وَيلاخ<br />

اهتيد اندناظةي<br />

انسكظةيزةب<br />

و ىاظيث<br />

َىهيلوكةظ<br />

َىظانجامزائ<br />

َىيرمائ<br />

انسكحةض<br />

َىمةزةم<br />

َىظوبو<br />

–<br />

ىسكةتاي<br />

يسكلوترنوك<br />

وَيلاخ<br />

اندناظةي<br />

انسكنايش وب يت ) Auto Cad ( َىمانزةب<br />

زةض وب تنشيَيزاد<br />

ةهتاي ةلاخ ــظةئ<br />

وب ) ملم2(<br />

يكيصَين<br />

جهَيث<br />

ذ<br />

لااخ<br />

) 333(<br />

. زوج وازوج وَييهَيو<br />

َىظد<br />

. زوضاي<br />

اناظيث<br />

يزايهيبسيوي<br />

. ىسكةتاي ييلا َىض<br />

وَينابوةضزاثو<br />

يزوتهك وَيلَيي<br />

انسكظةيزةب<br />

. ىسكةتاي يزوهض دنةض َىي<br />

) Polynomial ( يزاكيرب َىكةناب<br />

ب ياظيث<br />

َىناب<br />

اندناظةيو<br />

ب اتاد<br />

هصلاخلا<br />

تافاسملا سايق<br />

مادختسا هلاح يف ىتح . نيحاسملاو نيسدنهملل سايقلا يف ايدحت ةيئانلا فادهلأاو<br />

تاشنملا لكشت<br />

فده.<br />

ءارمحلا رزيللا<br />

ةعشأب لمعي<br />

. هساقملأ طاقنلا ىلع زاهجلا هسكاع<br />

تيبثت بجيف ةيسيطانغمورهكلا هعشلااب ةلماعلا<br />

–<br />

هسكاع نودب ةلماكتم ةطحم<br />

–<br />

سايق زاهج مادختسا مت ثحبلا اذه يف<br />

333 سايق مت.<br />

هطاقق ىلإ وصولا نكمي لا ةبق فقس ىلإ داعبلإا هيثلاث تايثادحلإل يئرم ليثمت دادعإو<br />

سايق وه ثحبلا<br />

طاقنلا بلج مت . رتميلم 2 دودحب هل ةيغارفلا ةقدلا تقاكو<br />

زاهجلا صحف مت ضرغلا اذهلو . ةرطيس طاقق سمخ نم هطقق<br />

عطاقمو هيروتنك<br />

طوطخ دادعإ مت<br />

. ةفلتخم اكشإب تاقايبلا<br />

ليثمت نم نكمتلل دقلا داكوتولأا جماقرب ىلإ هساقملأ<br />

ساقملا حطسلا ليثمتو<br />

حيحصلا يوركلا لكشلا نع ساقملا<br />

حطسلا نيابت سايق مت<br />

. داعبلأا هيثلاث حوطسو<br />

.<br />

دودحلا ددعتم يضاير حطسب<br />

99


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 100-105, 2011<br />

100<br />

ON GENERALIZATIONS OF REGULAR RINGS<br />

ABDULLAH M. ABDUL-JABBAR<br />

Dept. of Mathematics, College of Science, University of Salahaddin, Kurdistan Region-Iraq<br />

(Received: July 7, 2010; Accepted for publication: March 9, 2011)<br />

ABSTRACT<br />

A ring R is defined to be right (left) SF-ring if every simple right (left) R-module is flat. In this paper we<br />

study a condition under which SF-rings are regular. Also we find some properties and main results for it by<br />

adding some conditions. Furthermore, connections of such rings with other types of rings are studied.<br />

Moreover, we continue to study SSF-rings. Also, we find several properties for it and we connected such<br />

ring with other types of rings.<br />

KEYWORDS AND PHRASES: regular rings, flat module, SF-rings, SSF-rings.<br />

T<br />

1. INTRODUCTION<br />

hroughout this paper rings are<br />

associative with identity. For a<br />

subset X of a ring R, the left annihilator of X<br />

in R is ℓ(X) = {r � R: rx = 0, for all x � R},<br />

likewise for the right annihilator r(X). Y(R)<br />

and J(R) will stand respectively, for the right<br />

singular ideal and the Jacobson radical of R.<br />

A ring R is said to be von Neumann regular<br />

(regular) [22] if for every element a � R,<br />

there is an element b � R such that a = a b a.<br />

Recall that an ideal I of a ring R is called<br />

regular if every element of I is regular. A<br />

ring R is called �-regular [14] if for any a �<br />

R, there exists a positive integer n and an<br />

element b of R such that a n = a n b a n . A<br />

ring R is called strongly regular [12] if for<br />

each a � R, there exists b � R such that a =<br />

a 2 b. It should be noted that in a strongly<br />

regular ring R, a = a 2 b if and only if a =<br />

ba 2 . A ring R is called strongly �-regular [2]<br />

if for every a � R, there exists a positive<br />

integer n, depending on a and an element b<br />

� R such that a n n�1 = a b. Or equivalently, R<br />

is strongly �-regular if and only if a n R =<br />

a n 2 R. It is easy to see that R is strongly �regular<br />

if and only if Ra n = Ra n 2 . A ring R<br />

is called right (left) weakly regular [9] if for<br />

each a � R, a � a R a R (a � R a R a).<br />

R is called weakly regular if it is both right<br />

and left weakly regular. Recall that R is<br />

reduced if it has no non-zero nilpotent<br />

element. R is semi-prime ring [8] if it<br />

contains no non-zero nilpotent ideals. A ring<br />

R is called left semi-duo [6] if every<br />

principal left ideal of R is a two-sided ideal<br />

generated by the same element. Following<br />

[23], a ring R is called right (left) quasi-duo<br />

if every maximal right (left) ideal of R is<br />

two-sided.<br />

It is well known that R is a von Neumann<br />

regular ring if and only if every right (left)<br />

R-module is flat. By adding the condition<br />

“left semi-duo ring” to prove that R is a von<br />

Neumann regular if and only if R is a right<br />

SF-ring.<br />

2. SF-RINGS<br />

In this section we continue to study SFrings<br />

due to Rege in [20]. Also we find<br />

some properties and main results for it by<br />

adding some conditions. Furthermore,<br />

connections of such rings with other types of<br />

rings are studied.<br />

The following lemma, which is due to<br />

Rege in [20], plays a central role in several<br />

of our proofs.<br />

Lemma 2.1:<br />

Let I be a right (left) ideal of R. Then, R /<br />

I is a flat right (left) R-module if and only if<br />

for each a � I, there exists b � I such that a<br />

= b a (a = a b).<br />

Definition 2.2[20]:<br />

A ring R is called right (left) SF-ring if<br />

every simple right (left) R-module is flat.<br />

Theorem 2.3:<br />

Let R be a ring. If R / a R is a right SFring,<br />

then R is a von Neumann regular.<br />

Proof:<br />

Let a be a non-zero element of R and<br />

assume that R / a R is a right SF-ring, then


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 100-105, 2011<br />

for each a � a R, there exists b � a R such<br />

that a = b a. Since b � a R, then b = a r, for<br />

some r � R. Therefore, a = a r a and hence R<br />

is a von Neumann regular. �<br />

The following result is a necessary and<br />

sufficient condition for SF-rings to be von<br />

Neumann regular.<br />

Theorem 2.4:<br />

Let R be a left semi-duo ring. Then, R is<br />

a von Neumann regular if and only if R is a<br />

right SF-ring.<br />

Proof:<br />

Let R be a von Neumann regular, then R<br />

is a right SF-ring [20].<br />

Conversely, assume that R is a right SFring<br />

and I is an ideal of R. Then, for each a<br />

� I, there exists b � I such that a = b a.<br />

Since R is a left semi-duo ring, then R a is a<br />

two-sided ideal of R and hence R a is a left<br />

flat, so there exists b � a R such that a = a r<br />

a, for some r � R and hence R is a von<br />

Neumann regular. �<br />

Proposition 2.5:<br />

If R / r(a) is a right SF-ring such that r(a)<br />

� ℓ(a), for every a � R, then R is a reduced<br />

ring.<br />

Proof:<br />

Let a � R such that a 2 = 0. Then, a � r(a).<br />

Since R / r(a) is a right SF-ring, there exists<br />

b � r(a) such that a = b a. Since b � r(a),<br />

then a b = 0 and hence b � r(a) � ℓ(a).<br />

Thus, b a = 0. Therefore, a = 0. Whence, R<br />

is a reduced ring. �<br />

Following [5], a ring R is said to be<br />

strongly right bounded (briefly, SRB) if<br />

every non-zero right ideal contains a nonzero<br />

two-sided sub ideal of R.<br />

The following lemma due to Kim et. al.<br />

in [11].<br />

Lemma 2.6:<br />

If R is a semi-prime and SRB-ring, then<br />

R is a reduced.<br />

Theorem 2.7:<br />

If R is a right SF-ring, semi-prime and<br />

SRB-ring, then R is a strongly regular ring.<br />

Proof:<br />

Let R be a semi-prime and SRB-ring, and<br />

then by Lemma 2.6, R is a reduced ring. In<br />

order to show that R is strongly regular we<br />

need to prove that a R + r(a) = R, for any a<br />

� R. Suppose that a R + r(a) � R, there<br />

exists a maximal right ideal L containing a<br />

R + r(a). But a � L and R / L is a right flat,<br />

then there exists b � L such that a = b a,<br />

whence (1-b) � ℓ(a) = r(a) � L, yielding 1<br />

� L, which contradicts L � R. In particular,<br />

a r + d = 1, for some r � R and d � r(a),<br />

whence a 2 r = a. This proves that R is a<br />

strongly regular ring. �<br />

Following [1], a ring R is said to be<br />

quasi-strongly right bounded (briefly,<br />

QSRB) if every non-zero maximal right<br />

ideal contains a non-zero two-sided sub<br />

ideal of R.<br />

Lemma 2.8[1]:<br />

Let R be a QSRB-ring. Then, R / Y(R) is<br />

a reduced ring.<br />

Theorem 2.9:<br />

If R is a right SF-ring and QSRB-ring,<br />

then R is a strongly regular ring.<br />

Proof:<br />

Let R be a QSRB-ring, then by Lemma<br />

2.8, R / Y(R) is a reduced ring. We claim<br />

that Y(R) = (0). Suppose that Y(R) � (0),<br />

then by [4], there exists 0 � y � Y(R) such<br />

that y 2 = 0. Let M be a maximal right ideal<br />

containing r(y). Since r(y) is a maximal<br />

two-sided ideal of R, then M must be<br />

maximal two-sided ideal of R. On the other<br />

hand since R / M is a right flat, and since y<br />

� M, there exists c � M such that y = c y,<br />

whence (1-c) � r(y) � M, yielding 1�M,<br />

which contradicts M � R. This proves that R<br />

is a reduced ring. In order to show that R is<br />

strongly regular, we need to show that a R +<br />

r(a) = R, for any a � R. Suppose that a R +<br />

r(a) � R, then there exists a maximal right<br />

ideal L containing a R + r(a). But a � L and<br />

R / L is a right flat, there exists b � L such<br />

that a = b a, whence (1-b) � ℓ(a) = r(a) � L,<br />

yielding 1 � L, which contradicts L � R. In<br />

particular, a r + d = 1, for some r � R and d<br />

� r(a), whence a 2 r = a. This proves that R is<br />

strongly regular ring. �<br />

Recall that an element c � R is said to be<br />

right (left) regular if r(c) = 0 (ℓ(c) = 0).<br />

Proposition 2.10([16, Proposition 4]):<br />

If R is a right SF-ring, then any left<br />

regular element is right invertible in R.<br />

Finally we give the following result.<br />

Theorem 2.11:<br />

Let R be a reduced ring such that for<br />

every a � R, R / r(a n ) is an SF-ring, for<br />

some positive integer n. Then, R is a<br />

strongly �-regular ring.<br />

Proof:<br />

101


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 100-105, 2011<br />

Let a be a non-zero element in R, and let<br />

a´ n = a + r(a n ) � R / r(a n ), for some<br />

positive integer n. Clearly, a´ n � 0´ because<br />

otherwise if a´ n = 0´, then a + r(a n ) = r(a n ),<br />

and this yields a � r(a n ) and hence a n+1 = 0,<br />

gives a = 0 since R is reduced, this is<br />

contradiction. Let a´ n x´ = 0´, we shall prove<br />

that x´ = 0´. Observe that (a + r(a n )) (x +<br />

r(a n )) = r(a n ), implies a x + r(a n ) = r(a n ),<br />

and hence a x � r(a n ), so a n+1 x = 0, thus x<br />

� r(a n+1 ). Since R is reduced, therefore, x �<br />

r(a n ) implies a n x = 0, whence x � r(a n ).<br />

Hence x´ = 0´, this means that a´ n is a right<br />

non-zero divisor. Likewise we can prove<br />

that a´ n is a left non-zero divisor. Since<br />

R / r(a n ) is SF-ring, then by Proposition<br />

2.11, a´ n is invertible element. Then, there<br />

exists 0´� y´ n = y + r(a n )<br />

� R / r(a n ) such that a´ n y´ = 1, then (a +<br />

r(a n )) (y + r(a n )) = 1 + r(a n ). So (a y – 1)<br />

� r(a n ), and a n (a y – 1) = 0. Thus, a n+1 y =<br />

a n . This proves that R is strongly �-regular<br />

ring. �<br />

102<br />

3. SSF-RINGS<br />

In this section we continue studying SSFrings,<br />

which was introduced by R. D.<br />

Mahmood and Z. M. Ibraheem in [13].<br />

Furthermore, we find several properties for<br />

it and we connection such rings with other<br />

types of rings.<br />

We start this section with the following<br />

definitions.<br />

Definition 3.1:<br />

Recall that for any ring R, and an ideal I<br />

of R, R / I is called singular if I is an<br />

essential right ideal of R.<br />

Definition 3.2[13]:<br />

A ring R is called a right (left) SSF-ring<br />

if every simple singular right (left) Rmodule<br />

is flat.<br />

Lemma 3.3[17]:<br />

For any a � C(R), if a = a r a for some r<br />

� R, then there exists b � C(R) such that a =<br />

a b a, where C(R) is the center of R.<br />

Following [21], a ring R is said to semicommutative<br />

if x y = 0 implies x R y = 0,<br />

for x, y � R. Or, for each a � R, ℓ(a)<br />

(equivalently r(a)) is a two-sided ideal of R<br />

[11]. Clearly every reduced ring is semicommutative.<br />

The following result is a relation between<br />

right SSF-rings and C(R), which is von<br />

Neumann regular ring by adding semicommutative<br />

ring.<br />

Theorem 3.4:<br />

Let R be a semi-commutative right SSFrings,<br />

then C(R) is a von Neumann regular<br />

ring.<br />

Proof:<br />

First we will show that a R + r(a) = R, for<br />

any a � C(R). If not, there exists a maximal<br />

right ideal M of R such that a R + r(a) � M.<br />

Since a � C(R), a R + r(a) is an essential<br />

right ideal and so M must be an essential<br />

right ideal of R. Therefore, R / M is a right<br />

flat. So, there exists b � M such that a = b a.<br />

This implies that (1-b) � ℓ(a). Since R is<br />

semi-commutative, then ℓ(a) � r(a), for<br />

each a � R. Therefore, (1-b) � r(a) � M and<br />

so 1 � M, which is a contradiction.<br />

Therefore, a R + r(a) = R, for any a � C(R)<br />

and so we have a = a r a, for some r � R.<br />

Applying Lemma 3.3, we obtain that C(R) is<br />

a von Neumann regular ring. �<br />

The following result is a slightly<br />

improvement of Theorem 2.4 of [13].<br />

Theorem 3.5:<br />

If R is a semi-commutative and SSFring,<br />

then R is a reduced ring.<br />

Proof:<br />

Let a 2 = 0. Suppose that a � 0. Then,<br />

there exists a maximal right ideal M of R<br />

containing r(a).<br />

First observe that M is an essential right<br />

ideal of R. If not, then M is a direct<br />

summand of R. So, we can write M = r(e),<br />

for some 0 � e = e 2 � R. Since a � M and<br />

every idempotent in R is central; a e = e a =<br />

0. Thus, e � r(a) � M = r(e), whence e = 0.<br />

It is a contradiction. Therefore, M must be<br />

an essential right ideal of R. Thus, R / M is<br />

right flat and so there exists b � M such that<br />

a = b a. If we set b = e, then a = e a.<br />

Therefore, (1-e) �ℓ(a). Thus, (1-e) a = 0,<br />

this implies that a = e a = a e. Therefore, (1e)<br />

� r(a) � M. But, also e � M, whence, 1 �<br />

M. This is a contradiction. Therefore, a = 0<br />

and so R is a reduced. �<br />

Lemma 3.6[11]:<br />

If R is a semi-commutative ring, then R a


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 100-105, 2011<br />

R + r(a) is an essential right ideal of R, for<br />

every a � R.<br />

Theorem 3.7:<br />

If R is a semi-commutative and SSFrings,<br />

then R is a right weakly regular ring.<br />

Proof:<br />

We will show that R a R + r(a) = R, for<br />

any a � R. Suppose that there exists b � R<br />

such that R b R + r(b) � R. Then, there<br />

exists a maximal right ideal M of R<br />

containing R b R + r(b) . Therefore, by<br />

Lemma 3.6, M must be an essential right<br />

ideal of R. Thus, R / M is a right flat. So, for<br />

each b � M, there exists c � M such that b<br />

= c b. This implies that (1-c) � ℓ(b). Since<br />

R is a semi-commutative and SSF-ring, then<br />

by Theorem 3.5, R is a reduced ring. Thus,<br />

ℓ(b) = r(b). Therefore, (1-c) � r(b) � M and<br />

so1 � M, a contradiction. Then, R a R + r(a)<br />

= R, for any a � R. Hence R is a right<br />

weakly regular ring. �<br />

Proposition 3.8([20, Proposition 4.7]):<br />

Let R be a right quasi-duo ring. The<br />

following statements are equivalent.<br />

(1) R is a right weakly regular ring.<br />

(2) R is a strongly regular ring.<br />

Recall that R is a 2-primal ring [3] if<br />

P(R) = N(R), where P(R) is the prime<br />

radical of R and N(R) is the set of all<br />

nilpotent elements.<br />

Theorem 3.9:<br />

Let R be a 2-primal ring. If R is an SSFring,<br />

then R / P(R) is weakly regular.<br />

Proof:<br />

Let 0´� a´ � R´ = R / P(R). We will show<br />

that R´ a´ R´ + r(a´) = R´. If it is not true,<br />

then there exists a maximal right ideal M of<br />

R such that R´ a´ R´ + r(a´) � M / P(R).<br />

Since R´ is reduced, we have that r(a´) =<br />

ℓ(a´), for any a´� R´. Then, by Lemma 3.6,<br />

R´ a´ R´ + r(a´) is an essential right ideal of<br />

R´. Thus, M / P(R) must be right essential in<br />

R´. Therefore, R / M is simple singular right<br />

R-module and R / M is right flat. So, there<br />

exists b´ � M / P(R) such that a´ = b´a´. This<br />

implies that (1- b´) � ℓ(a´) = r(a´) � M /<br />

P(R), this implies that 1 � M / P(R), which<br />

is a contradiction. Therefore, R / P(R) is<br />

right weakly regular, which completes the<br />

proof. �<br />

Theorem 3.10:<br />

If R is a 2-primal, right quasi-duo and<br />

SSF-rings, then R is a �-regular ring.<br />

Proof:<br />

Let R be a 2-primal and right SSF-ring,<br />

then by Theorem 3.9, R / P(R) is weakly<br />

regular. Therefore, by Proposition 3.8, R /<br />

P(R) is a strongly regular. Thus, by [9,<br />

Theorem 1], R is �-regular ring. �<br />

Lemma 3.11([20, Proposition 4.4]):<br />

Let R be a right quasi-duo ring. Then, R /<br />

J(R) is a reduced ring.<br />

Proposition 3.12:<br />

Let R be a right quasi-duo ring. If R is<br />

SSF-ring, then R / J(R) is a strongly regular<br />

ring.<br />

Proof:<br />

Let R be a right quasi-duo ring, then by<br />

Lemma 3.11, R / J(R) is reduced. Thus, by<br />

the same methods in the proof of Theorem<br />

3.9, R / J(R) is weakly regular. Therefore,<br />

by Proposition 3.8, R / J(R) is strongly<br />

regular. �<br />

Recall that a ring R is called right weakly<br />

continuous [18] if J(R) = Y(R), R / J(R) is<br />

regular and idempotent can be lifted modulo<br />

J(R).<br />

The following lemma is due to Ming in<br />

[15].<br />

Lemma 3.13:<br />

If Y(R) contains no non-zero nilpotent<br />

element, then Y(R) = (0).<br />

Following [7], a ring R is called<br />

reversible if ab=0 implies ba=0 for a, b � R.<br />

Lemma 3.14[10]:<br />

If R is a reversible ring, then r(a) = ℓ(a),<br />

for each a � R.<br />

Finally we prove the following result.<br />

Theorem 3.15:<br />

For a reversible ring R, the following<br />

statements are equivalent:<br />

(1) R is a von Neumann regular;<br />

(2) R is right weakly continuous and right<br />

SSF-ring.<br />

Proof:<br />

(1) � (2). Observe that if R is von<br />

Neumann regular, then R is SF-ring [20] and<br />

hence it is SSF-ring.<br />

(2) � (1). Suppose that Y(R) � (0). Then,<br />

by Lemma 3.13, we may assume that Y(R)<br />

is not reduced. So, there exists non-zero a �<br />

Y(R) such that a 2 = 0. We claim that Y(R) +<br />

r(a) = R. If not, there exists a maximal<br />

essential right ideal M containing Y(R) +<br />

r(a). Thus, R / M is a right flat. Therefore,<br />

there exists b � M such that a = b a. This<br />

implies that (1-b) � ℓ(a). Since R is<br />

103


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 100-105, 2011<br />

reversible, then by Lemma 3.14, ℓ(a) = r(a)<br />

and hence (1-b) � r(a) � M. Thus, 1 � M,<br />

which is a contradiction. Therefore, Y(R) +<br />

r(a) = R. Hence we can write 1 = c + d, for<br />

some c � Y(R) and d � r(a). Thus, a = c a<br />

and so (1-c) a = 0. Since c � Y(R) = J(R), 1c<br />

is invertible. Thus, a = 0, which is also<br />

contradiction. Therefore, Y(R) is reduced<br />

and so Y(R) = (0). �<br />

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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 100-105, 2011<br />

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نميأ اهنأب<br />

ةقلحلا ىلع طورش عضو ةسرد مت ثحبلا اذه يف<br />

R<br />

ةصلاخلا<br />

ةقلح فرعت<br />

. احطسم<br />

نم ىرخأ طامنأ عم ةقلحلا هذه انطبر ،كلذ ىلا ةفاضأ . طورشلا ضعب ةفاضأب اهل ةيسيئرلا جئاتنلا و صاوخلا<br />

مث اهل صاوخلا نم ددع اندجو كلذك<br />

.<br />

SSF<br />

طمنلا نم تاقلحلا ةسارد<br />

انلوانت كلذ ىلا ةفاضأ<br />

. تاقلحلا<br />

.<br />

تاقلحلا نم ىرخأ طامنأ عم ةقلحلا هذه انطبر<br />

105


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 106-111, 2011<br />

106<br />

THE EXISTENCE AND UNIQUENESS SOLUTION FOR NONLINEAR<br />

SYSTEM OF FRACTIONAL INTEGRO-DIFFERENTIAL EQUATIONS<br />

HUSSEIN J. ZEKRY<br />

Dept. of Mathematics, Faculty of Science, University of Zakho, Kurdistan Region, Iraq.<br />

(Received: July 7, 2010; Accepted for publication: June 4, 2011)<br />

ABSTRACT<br />

This paper deals with existence and uniqueness of solutions for a nonlinear integro-differential equation of<br />

fractional order � ; � � R , 0��� 1,<br />

with fractional initial condition. Our results are based on contraction mapping<br />

principle (Banach fixed point theorem) and Picard approximation method.<br />

KEYWORDS: Existence and Uniqueness Solution, Nonlinear Fractional Integro-differential Equation, Picard Approximation<br />

Method, Banach Fixed Point Theorem.<br />

I<br />

1. INTRODUCTION<br />

n the last few decades, fractional order<br />

models are found to be more adequate than<br />

integer order models for some real world<br />

problems. Fractional derivatives provide an<br />

excellent tool for the description of memory and<br />

hereditary properties of various materials and<br />

processes. Integro-differential equations arise in<br />

many engineering and scientific disciplines,<br />

often as approximation to partial differential<br />

equations, which represent much of the<br />

continuum phenomena. Many forms of these<br />

equations are possible. Some of the applications<br />

are unsteady aerodynamics and aero elastic<br />

phenomena, visco elasticity, visco elastic panel<br />

in super sonic gas flow, fluid dynamics,<br />

electrodynamics of complex medium, many<br />

models of population growth, polymer rheology,<br />

neural network modeling, sandwich system<br />

identification, materials with fading memory,<br />

mathematical modeling of the diffusion of<br />

discrete particles in a turbulent fluid, heat<br />

conduction in materials with memory, theory of<br />

lossless transmission lines, theory of population<br />

dynamics, compartmental systems, nuclear<br />

reactors, and mathematical modeling of a<br />

hereditary phenomena. For details, see [5, 6, 7]<br />

and the references therein.<br />

In recent years, there has been an interest in<br />

the study of fractional integro-differential<br />

equations. In [5], Schauder’s fixed-point<br />

theorem has been used to obtain local existence,<br />

and Tychonov’s fixed-point theorem to obtain<br />

global existence of solutions of fractional<br />

integro-differential equation. In [6], used Arzela-<br />

Ascoli lemma to obtain existence and<br />

uniqueness of solution of fractional integrodifferential<br />

equation. The existence of extremal<br />

solutions of the fractional integro-differential<br />

equations using comparison principle and Ascoli<br />

lemma has been investigated in [1]. While in<br />

[4, 8], some important results concerning with<br />

the stability, uniformly and asymptotically<br />

stability of solutions of fractional differential<br />

and integro-differential equations has been<br />

obtained. In [8], also we investigate the initial<br />

value problem for nonlinear fractional<br />

differential equations by using Banach fixed<br />

point theorem.<br />

In this work we considered the following<br />

nonlinear fractional integro-differential equation<br />

which has the form<br />

ht ()<br />

( � )<br />

u ( t ) �f( t , u( t )) � � g ( t , s, u( s )) ds , 0��� 1 (1.1)<br />

a<br />

with fractional initial condition<br />

( � �1)<br />

u () a � u0<br />

(1.2)<br />

u ��;( � is the set of all real<br />

Where 0<br />

n n<br />

numbers), f �C ( I �� , � ) and g �C ( I �I ��<br />

n<br />

n n<br />

, � ) where C( I �� , � ) is the set of all<br />

n<br />

continuous functions defined on I �� and<br />

n n<br />

C ( I �I �� , � ) is the set of all continuous<br />

n<br />

n<br />

functions defined on I �I �� , where �<br />

denotes the real n-dimensional Euclidean space,<br />

and I is a compact subinterval of [ ab , ] with<br />

0 � a � t � b , also ht () is a continuous function<br />

which is defined on the interval [ ab , ] .<br />

Our work is to extend some results of [8] by<br />

using both, Picard approximation method to<br />

obtain global existence and uniqueness solution<br />

and Banach fixed point theorem to obtain local<br />

existence and uniqueness solution of (1.1) and<br />

(1.2) respectively.<br />

n


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 106-111, 2011<br />

2. PRELIMINARIES<br />

In this section we present some definitions<br />

and lemmas which well be used in the sequel,<br />

see [2, 3].<br />

Definition 2.1. The Riemann-Liouville<br />

fractional integral of order � � 0 for a function g<br />

is defined as<br />

t<br />

�� 1<br />

� �1<br />

D g () t � g ( s ) �b �s�ds<br />

�( �)<br />

� (2.1)<br />

0<br />

Provided that this integral (Lebesgue) exist,<br />

where Γ is the Gamma function.<br />

Definition 2.2. The fractional derivative (in the<br />

sense of Riemann-Liouville) of order 0


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 106-111, 2011<br />

�<br />

h( s)<br />

� �1<br />

� ( t �a)<br />

u<br />

f ( s, uo( s )) � � g ( s, �, uo( � )) d� �ds<br />

�<br />

� �(<br />

�)<br />

a<br />

�<br />

108<br />

1<br />

� � �<br />

�(<br />

�)<br />

t<br />

� �1<br />

� ( t s ) � f ( s, uo ( s ))<br />

a<br />

h( s)<br />

� � b ( C1�hC2) � g ( s, � , uo ( � )) d� �ds<br />

�<br />

� �( � �1)<br />

a<br />

�<br />

that is:<br />

u ( t ) �u) �<br />

1 0<br />

Cb �<br />

�( � � 1)<br />

*<br />

1 () � u t � D where<br />

*<br />

u0� Df,<br />

t ��.<br />

and by mathematical induction we get that<br />

Um (t) –Uo(t)<br />

Cb �<br />

�( � � 1)<br />

which shows that<br />

*<br />

um () t � D<br />

where<br />

*<br />

u0� Df,<br />

t ��, for m � 0,1,2, ... .<br />

Next, we prove the uniformly convergent of<br />

the sequence of functions (3.3) in the<br />

domain *<br />

D , so for m � 1,<br />

we have:<br />

� �1<br />

( t �a)<br />

u 0 1<br />

u 2( t ) �u1( t ) � � ( t � s )<br />

�( �) �(<br />

�)<br />

� � �<br />

�f( s , u ( s )) g ( s, , u ( )) d �ds<br />

� �<br />

� � �<br />

� �1<br />

h( s)<br />

� �1<br />

( t a) u 0<br />

1 � � � 1 � � � �<br />

( �)<br />

a<br />

t<br />

h( s)<br />

� �<br />

� �1<br />

�( � ) � ( , 0( )) � ( , � , 0(<br />

� )) �<br />

� �<br />

�<br />

�<br />

a a<br />

1<br />

t s f s u s g s u d ds<br />

�( �)<br />

� �<br />

t<br />

� ( t<br />

a<br />

� �1<br />

s ) ( f ( s, u1( s )) f ( s, u 0(<br />

s ))<br />

1<br />

� � �<br />

�(<br />

�)<br />

that is<br />

h( s)<br />

�<br />

� g ( s, � , u ( � )) �g(<br />

s, � , u ( � )) d� ) ds<br />

1 0<br />

a<br />

t<br />

� ( t<br />

a<br />

� �1<br />

s ) ( L1 u1( s ) u 0 ( s )<br />

1<br />

� � � �<br />

�(<br />

�)<br />

h( s)<br />

�<br />

a<br />

L u ( � ) �u<br />

( � ) d� ) ds<br />

2 1 0<br />

C b �b( L � h L ) �<br />

�( � �1) � �( � �1)<br />

�<br />

� �<br />

2( ) � 1(<br />

) � �<br />

1 2<br />

�<br />

u t u t<br />

for m � 2<br />

t<br />

�<br />

a<br />

0<br />

t<br />

1<br />

� �1<br />

3 2 2<br />

�(<br />

�)<br />

�<br />

a<br />

u ( t ) �u ( t ) � ( t � s ) ( f ( s , u ( s )) �<br />

h( s)<br />

�<br />

f ( s, u ( s )) � g ( s, � , u ( � )) �g(<br />

s, � , u ( � )) d� ) ds<br />

1 2 1<br />

a<br />

t<br />

1<br />

�<br />

�(<br />

�)<br />

�<br />

a<br />

�<br />

� �1<br />

1 2 � 1<br />

that is<br />

( t s ) ( L u ( s ) u ( s )<br />

h( s)<br />

�<br />

� L u ( � ) �u(<br />

� ) d� ) ds<br />

a<br />

2 2 1<br />

� �<br />

2<br />

C b �b( L1�hL2) �<br />

3( ) � 2(<br />

) � � �<br />

u t u t<br />

�( � �1) � �( � �1)<br />

�<br />

suppose that the inequality<br />

� �<br />

n<br />

C b �b( L1�hL2) �<br />

n�1( ) � n(<br />

) � � �<br />

u t u t<br />

�( � �1) � �( � �1)<br />

�<br />

is true for some m=n, we have to show that<br />

� �<br />

n �1<br />

C b �b( L1�hL2) �<br />

n�2( ) � n�1(<br />

) � � �<br />

u t u t<br />

is also true.<br />

�( � �1) � �( � �1)<br />

�<br />

t<br />

1<br />

� �1<br />

n �2 n �1 n �1<br />

�(<br />

�)<br />

�<br />

a<br />

u ( t ) �u ( t ) � ( t � s ) ( f ( s, u ( s )) �<br />

h( s)<br />

�<br />

f ( s, u ( s )) � g ( s , � , u ( � )) �g(<br />

s , � , u ( � )) d� ) ds<br />

n n �1<br />

n<br />

a<br />

t<br />

1<br />

( t<br />

( �)<br />

�<br />

a<br />

� �1<br />

s ) ( L1 u n�1( s ) u n(<br />

s )<br />

� � �<br />

�<br />

h( s)<br />

�<br />

� L u ( � ) �u(<br />

� ) d� ) ds<br />

a<br />

2 n�1 n<br />

� �<br />

n<br />

C b �b( L1�hL2) �<br />

� � �<br />

�( � �1) � �( � �1)<br />

�<br />

1<br />

( �)<br />

that is<br />

t<br />

h( s)<br />

( �<br />

� �1<br />

) ( 1� 2 � )<br />

a a<br />

t s L L d ds<br />

� � �<br />

� �<br />

n �1<br />

C b �b( L1�hL2) �<br />

n�2( ) � n�1(<br />

) � � �<br />

u t u t<br />

�( � �1) � �( � �1)<br />

�<br />

thus by mathematical induction we get<br />

� �<br />

m<br />

C b �b( L1�hL2) �<br />

m�1( ) � m(<br />

) � � �<br />

u t u t<br />

�( � �1) � �( � � 2) �<br />

for m � 0,1,2, ... .<br />

from the above we deduce that, for<br />

p � 0, we have<br />

u ( t ) �u ( t ) � u ( t ) �u ( t ) �<br />

m � p m m � p m � p �1<br />

u ( t ) �u ( t ) �... � u ( t ) �<br />

u ( t )<br />

m � p �1 m � p �2 m �1<br />

m


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 106-111, 2011<br />

� �<br />

m�p�1 �<br />

� ( 1�2) �<br />

C b b L h L C b<br />

� � � �<br />

�( � �1) � �( � �1) � �( � �1)<br />

�<br />

m �p�2 m<br />

� �<br />

( 1 � 2 ) Cb ( 1 � 2 )<br />

� b L hL � �b L hL �<br />

� � �... � � �<br />

� �( � �1) � �( � �1) � �( � �1)<br />

�<br />

� �<br />

m<br />

�<br />

� 1 � � � 2 1 � 2<br />

C b b ( L h L ) b ( L h L )<br />

� � � �1�<br />

�<br />

�( � �1) � �( � �1) � � �( � �1)<br />

�<br />

2<br />

�<br />

p �1<br />

� b ( L1 �hL2) � �b ( L1 �hL2)<br />

� �<br />

� � �... � � � �...<br />

�<br />

� �( � �1) � � �( � �1)<br />

� �<br />

�<br />

(3.6)<br />

from inequality (3.2) we conclude that (3.6)<br />

*<br />

is uniformly convergent on the domain D .<br />

�<br />

u () t is a uniform<br />

Hence the sequence � �<br />

m �1 m � 0<br />

0 convergent sequence to u () t , i.e.<br />

0<br />

lim um ( t ) u ( t )<br />

m ��<br />

� . Then<br />

� �1<br />

t<br />

( t � a) u 0 1<br />

� �1<br />

lim ( t s ) �f<br />

( s, u m ( s ))<br />

m �� �( �) �(<br />

�)<br />

�<br />

a<br />

� ( � ) 1<br />

�<br />

� �( �) �(<br />

�)<br />

h( s)<br />

� g ( s , � , u m ( � )) d� �ds<br />

�<br />

a<br />

t<br />

� �1<br />

a u 0<br />

�<br />

t<br />

h( s)<br />

� �<br />

� �1<br />

� �<br />

( t �s) �f( s , u ( s )) � g ( s, � , u ( � )) d� �ds<br />

� �<br />

� �<br />

a a<br />

� � �<br />

t<br />

1<br />

� �1<br />

lim ( t s ) ( f ( s, u m ( s )) f ( s, u ( s ))<br />

m �� �(<br />

�)<br />

�<br />

a<br />

� � �<br />

h( s)<br />

�<br />

� g ( s, � , u ( � )) �g(<br />

s, � , u ( � )) d� ) ds<br />

a<br />

�<br />

�<br />

�<br />

1<br />

� �<br />

t<br />

lim � ( t<br />

m �� �(<br />

�)<br />

�<br />

a<br />

� �1<br />

s ) ( L1 u m ( s ) u ( s )<br />

m<br />

h( s)<br />

�<br />

� L2 � u m ( � ) �u ( � ) d� ) ds � � 0<br />

a<br />

��<br />

0 *<br />

Hence u () t �D and is a solution of the<br />

nonlinear fractional integro-differential equation<br />

(1.1) with fractional initial condition (1.2).<br />

Theorem 3.2. Assume that the hypotheses H1,<br />

H2 and H3 are satisfying. Then the nonlinear<br />

fractional integro-differential equation (1.1) with<br />

fractional initial condition (1.2) has a unique<br />

solution.<br />

Proof: Let us consider w() t to be another<br />

solution of (1.1) which satisfies (1.2), that is<br />

� �1<br />

t<br />

( t �a)<br />

u 0 1<br />

� �1<br />

( ) � � ( � ) ( , ( ))<br />

w t t s f s w s<br />

�( �) �(<br />

�)<br />

a<br />

h( s)<br />

�<br />

� � g ( s , � , w ( � )) d� �ds ��<br />

a<br />

hence we have<br />

t<br />

1<br />

� �1<br />

w ( t ) �u ( t ) � ( t � s ) ( f ( s, w ( s )) �<br />

�(<br />

�)<br />

�<br />

h( s)<br />

�<br />

a<br />

f ( s, u ( s )) � g ( s, � , w ( � )) �g(<br />

s , � , u ( � )) d� ) ds<br />

�<br />

a<br />

t<br />

� ( t<br />

a<br />

� �1<br />

s ) ( L1 w ( s ) u ( s )<br />

1<br />

� � � �<br />

�(<br />

�)<br />

t�[0, b]<br />

h( s)<br />

�<br />

a<br />

L w ( � ) �u<br />

( � ) d� ) ds<br />

2<br />

max w ( t ) u( t ) max w ( t ) �u<br />

( t )<br />

� �<br />

t�[0, b]<br />

�<br />

�b( L1�hL2) �<br />

� �<br />

� �( � �1)<br />

�<br />

Which is a contradiction by inequality (3.2),<br />

thus we have<br />

w ( t ) �u( t ) � 0<br />

hence w ( t ) � u( t ) .<br />

Example 3.1: Consider the following nonlinear<br />

fractional integrodifferential equation<br />

(0.5) 1 ut ()<br />

y () t � �<br />

24 2<br />

(4 �t) (1 � u ( t ) )<br />

t<br />

us ( )<br />

��<br />

ds<br />

t�s (2e �10)(2 � u ( s ) )<br />

0<br />

with fractional initial condition<br />

( �0.5)<br />

y (0) � 0<br />

on the closed interval [0,1] , here<br />

1 ut () 1<br />

f ( t , u ( t )) � � � ,<br />

24 2<br />

(4 �t) (1 � u( t ) ) 12<br />

us ( ) 1<br />

g ( t , s, u ( s )) � � ,<br />

t�s (2e �10)(2 � u( s ) ) 12<br />

f ( t , u ( t )) � f ( t , u ( t ))<br />

2 1<br />

1 u2( t ) u1( t )<br />

� �<br />

2<br />

(4 �t<br />

) (1 � u ( t ) ) (1 � u ( t ) )<br />

1<br />

� u2( t ) �u1(<br />

t )<br />

16<br />

g ( t , s, u2( s )) � g ( t , s, u1( s ))<br />

�<br />

2 1<br />

1 u2( s ) u1( s )<br />

� �<br />

t�s (2e �10)<br />

(2 � u ( s ) ) (2 � u ( s ) )<br />

1<br />

� u2( s ) �u1(<br />

s )<br />

16<br />

2 1<br />

109


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 106-111, 2011<br />

110<br />

and h( t ) � t � h � 1<br />

hence the conditions H1 H2 and H3 hold with<br />

1 1<br />

C1 �C 2 � , L1 � L2<br />

� , b � 1,<br />

12 16<br />

�<br />

b ( L1�hL2) 1/8<br />

� � 0.141 � 1.<br />

�( � �1) �(1.5)<br />

Therefore by Theorem 3.1 and Theorem 3.2<br />

the given nonlinear fractional integrodifferential<br />

equation with given fractional initial condition<br />

has a unique solution on the interval [0, 1].<br />

Ii. Banach Fixed Point Theorem<br />

In this part we apply Banach fixed point<br />

theorem to show the existence and uniqueness<br />

of solutions for nonlinear fractional integrodifferential<br />

equation (1.1) with fractional initial<br />

condition (1.2).<br />

n n<br />

Theorem 3.3. Let the function f �C ( I �� , � )<br />

n n<br />

and g �C ( I �I �� , � ) , and that they satisfy<br />

the conditions H2 and H3 respectively, then the<br />

nonlinear fractional integro-differential equation<br />

(1.1) with fractional initial condition (1.2) has a<br />

n<br />

C( I, � ), . .<br />

unique solution in � �<br />

Proof: Let us consider the mapping � on<br />

n<br />

C( I, � ), . as:<br />

� �<br />

� �1<br />

( t � a) u 1<br />

0<br />

� �1<br />

� � � �<br />

� u ( t ) � � ( t � s ) f ( s , u ( s ))<br />

�( �) �(<br />

�)<br />

t<br />

a<br />

h( s)<br />

�<br />

� � g ( s, � , u ( � )) d� �ds ��<br />

a<br />

Since f ( t , u) and g ( t , s, u) belong to<br />

n n<br />

n n<br />

C( I �� , � ) and C ( I I , )<br />

then it is clear that<br />

t<br />

h( s)<br />

� �1<br />

� �� � respectively,<br />

t<br />

( �<br />

� �1<br />

) ( , ( ))<br />

�<br />

a<br />

t s f s u s ds ,<br />

and �( t � s ) � g ( s, �, u( � )) d� ds are also in<br />

a a<br />

n<br />

C( I, � ) and it shows that:<br />

n n<br />

� u( t ) : C ( I , � ) �C ( I , � ) .<br />

� �<br />

n<br />

By Lemma 2.1 the space � ( , ), . �<br />

C I � is a<br />

Banach space. Next we shall show that the<br />

n<br />

mapping � is a contraction in C([0, b], � ) , let<br />

w() t and ut () be any two functions that belong<br />

n<br />

to C( I, � ) , and consider:<br />

� � � �<br />

� �1<br />

( t �a)<br />

u 0 1<br />

� w ( t ) � � u ( t ) � � ( t � s )<br />

�( �) �(<br />

�)<br />

h( s)<br />

� �<br />

� �1<br />

� �1<br />

h( s)<br />

� �1<br />

� � ( t �a)<br />

u 0<br />

�f( s , w ( s )) � g ( s , � , w ( � )) d� ds � �<br />

� �<br />

�<br />

�<br />

� �(<br />

�)<br />

a<br />

�<br />

t<br />

1<br />

( t �s) �f( s , u ( s )) � g ( s , � , u ( � )) d� �ds<br />

�( �)<br />

� � �<br />

�<br />

a � a<br />

�<br />

�<br />

�<br />

�<br />

1<br />

� �<br />

t<br />

max � ( t<br />

t �[<br />

a, b ] �(<br />

�)<br />

�<br />

a<br />

� �1<br />

s ) ( f ( s, w ( s )) f ( s, u ( s ))<br />

h( s)<br />

�<br />

� � g ( s, � , w ( � )) �g( s, � , u ( � )) d� ) ds �<br />

��<br />

a<br />

�<br />

�<br />

�<br />

L<br />

� �<br />

t<br />

1 max � ( t<br />

t �[<br />

a, b ] �(<br />

�)<br />

�<br />

a<br />

� �1<br />

s ) ( w ( s ) u ( s )<br />

�L2 h( s)<br />

�<br />

a<br />

w ( � ) �u( � ) d� ) ds �<br />

��<br />

b L h L<br />

� �<br />

�<br />

( 1�2) max w ( t ) u ( t )<br />

�( � �1)<br />

t�[ a, b ]<br />

that is<br />

��w ( t ) � � ��u ( t ) �<br />

�<br />

b ( L1�hL2) �<br />

�( � �1)<br />

w ( t )) �u<br />

( t ) (3.7)<br />

Consequently by inequalities (3.2) and (3.7),<br />

� is a contraction mapping. As a consequence<br />

of Banach fixed point theorem and lemma 2.2,<br />

we deduce that � has only one fixed point<br />

which is a solution of the nonlinear fractional<br />

integro- differential equation (1.1) with<br />

fractional initial condition (1.2).<br />

CONCLUSION<br />

In this paper, we studied the existence and<br />

uniqueness of solution of nonlinear fractional<br />

integrodifferential equation with fractional initial<br />

condition. Based on the Picard approximation<br />

method and Banach fixed point theorem the<br />

results are proved. We have noticed that the<br />

length of the interval I depends on the Lipschitz<br />

constants regarding to the functions f and g and<br />

the value of h .<br />

t<br />

�<br />

a<br />


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 106-111, 2011<br />

REFERENCES<br />

- R. El-Khazali and, S. M. Momani On the existence of<br />

extremal solutions of the fractional Integro-<br />

differential equations, J. Fractional Calculus,<br />

18(2000), 87-92.<br />

- K. M. Furati and N. Tatar, An existence result for a<br />

nonlocal fractional differential problem, J. Fract.<br />

Calc., 26(2000), 43-51.<br />

- K. S. Miller and B. Ross, An introduction to the<br />

Fractional Calculus and Fractional Differential<br />

Equations, John Wiley and Sons, Inc., New<br />

York, 1993.<br />

- S. Momani and S. Hadid, Lyapunov stability solutions of<br />

fractional Integro-differential equations, Int. J.<br />

Math. Sci., 47(2004), 2503-2507.<br />

- S. Momani, Local and global existence theorems on<br />

fractional integro-differential equations, J. Fract.<br />

Calc., 18(2000), 81-86. 435-444.<br />

- S. Momani, Some existence theorems on fractional<br />

Integro-differential equations, Abhath Al-Yarmouk<br />

Journal, 10:2B(2001),<br />

- I. Podlubny, Fractional Differential Equations,<br />

Academic Press, New York, 1999.<br />

- H. J. Zekry, Some existence and stability theorems for<br />

fractional differential and integro-differential<br />

equation, M.Sc Thesis, College of Education, Duhok<br />

Unv, (2008).<br />

111


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 112-118, 2011<br />

112<br />

SPECTROPHOTOMETRIC DETERMINATION OF PHENYLEPHRINE<br />

HYDROCHLORIDE IN PHARMACEUTICAL PREPARATIONS<br />

FIRAS MUHSEN AL-ESAWATI<br />

Dept. of Chemistry, Faculty of Science, University of Zakho, Kurdistan Region-Iraq<br />

(Received: July 21, 2010; Accepted for publication: February 3, 2011)<br />

ABSTRACT<br />

A simple, rapid and sensitive spectrophotometric method for determination of phenylephrine hydrochloride<br />

(PPH) in pure form as well as dosage forms is described. The method is based on the oxidative coupling of PPH with<br />

N,N-Diethyl-p-phenylenediamine monohydrochloride (N,N-DE-PPD) in present of N-Bromosuccinimide as oxidizing<br />

agent in sodium hydroxide medium. Beer's law is obeyed in the concentration range of 0.5 - 16 μg ml −1 for PPH with<br />

a molar absorptivity of 11381 L.mol -1 .cm -1 , the accuracy is 100.38% and the relative standard deviation was less than<br />

2.76%. The method was successfully applied for the determination of PPH in pharmaceutical preparations and the<br />

results agree favorably with the official and reported methods. Common excipients used as additives in<br />

pharmaceuticals do not interfere in the proposed method. The method offers the advantages of simplicity, rapidity<br />

and sensitivity without the need for extraction or heating.<br />

KEYWORDRS: Spectrophotometric, Oxidative Coupling, Phenylephrine Hydrochloride, Pharmaceutical Preparation<br />

P<br />

INTRODUCTION<br />

henylephrine hydrochloride (alphaadrenergic,<br />

sympathomimetic agent) is a<br />

useful vasoconstrictor of sustained action with<br />

little effect on the myocardium or the central<br />

nervous system. It is available in the following<br />

dosage forms: nasal drops, nasal spray, eye<br />

drops and phenylephrine injection (1) .<br />

Many analytical methods have been proposed<br />

for the determination of phenylephrine<br />

hydrochloride in pharmaceutical formulations (2,3)<br />

and biological samples (4,5) .<br />

Numerous methods have been reported for<br />

the determination of phenylephrine<br />

hydrochloride including spectrophotometry (6-12) ,<br />

fluorometry<br />

(13) , chemiluminescence (14) ,<br />

colorimetry (15) flow injection analysis (16) and<br />

chromatographic methods (17-20) .<br />

In this paper, We have tried to develop a<br />

method for determination of phenylephrine<br />

hydrochloride in nasal drops as pharmaceutical<br />

preparations which coupling with N,N-Diethylp-phenylenediamine<br />

monohydrochloride (N,N-<br />

DE-PPD) in present of N-Bromosuccinimide as<br />

oxidizing agent in sodium hydroxide medium.<br />

The method offers the advantages of simplicity,<br />

rapidity and sensitivity without the need for<br />

extraction.<br />

EXPERIMENTAL<br />

1- Apparatus<br />

A shimadzu model (UV-160A) double beam<br />

UV_VIS spectrometer with 1.0-cm matches<br />

silica cells was used to carry out all spectral<br />

measurements.<br />

A electo. mag (M 96K) water bath, HANNA<br />

model (pH 211) microprocessor pH-meter and<br />

AND model (HF-400) sensitive balance were<br />

used.<br />

2- Reagents<br />

All chemicals used were of analytical reagent<br />

grade standard. PPH was supplied by S.D.I.<br />

(Iraq), N,N-DE-PPD by Fluka, Nbromosuccinimide<br />

by Fluka, Sodium hydroxide<br />

by BDH, Hydrochloric acid by Fluka.<br />

- A stock solution of PPH (1000µg/ml) was<br />

prepared by dissolving 1.0 gm of pure PPH in<br />

1000 ml distilled water.<br />

- Working solution of DE-PPD (5×10 -3 M) was<br />

prepared by dissolving 0.1094 gm in 100ml<br />

distilled water.<br />

- N-Bromosuccinimide solution (3×10 -3 ) was<br />

prepared by dissolving gm in ml distilled water.<br />

- Sodium hydroxide solution (1.0M) was<br />

prepared by dissolving 1 gm in 250ml distilled<br />

water.<br />

3- General procedure<br />

Aliquots of working standard solution of PPH<br />

(0.25 – 4 mL of 100µg mL -1 ) were transferred<br />

into 25-mL calibrated flasks followed by 1.0 mL


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 112-118, 2011<br />

N,N-DE-PPD (5×10 -3 M), 3.0 mL of Nbromosuccinimide<br />

(3×10 -3 M), 0.1mL of sodium<br />

hydroxide. The solution was made up to the<br />

mark with distilled water, mixed thoroughly and<br />

the absorbance was measured at 500 nm against<br />

a reagent blank, and the calibration graph was<br />

constructed.<br />

Sample preparation<br />

4- Pharmaceutical preparations<br />

Nasal drops. – The following nasal drop<br />

formulations were purchased from local sources<br />

and used for the analysis: samsphrine (S.D.I.,<br />

Iraq) containing 0.25% PPH 10 mL –1 ,<br />

nasophrine (S.D.I., Iraq) containing 0.25% PPH<br />

10 mL –1 . A volume of 10 mL of nasal drops<br />

(equivalent to 25 mg of PPH) was diluted to 50<br />

mL with distilled water. The general procedure<br />

was then followed.<br />

RESULTS AND DISCUSSION<br />

1- Spectral characteristics<br />

The method involves the oxidation of PPH,<br />

followed by the coupling of DE-PPD in alkaline<br />

medium. The absorption spectra of the reaction<br />

product formed have absorption maxima at 685<br />

nm (Figure 1).<br />

Absorbance<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0<br />

C<br />

400 500 600 700 800<br />

w avelength (nm)<br />

Fig (1): Absorption spectrum of (A): reaction product<br />

of PPH (8 μg mL -1 ) with DE-PPD (1 mL of 5×10 -5<br />

M), N-Bromosuccinimide ( 3 mL of 3×10 -3 M), and<br />

sodium hydroxide (0.3 mL of 0.1M). vs. blank. (B):<br />

Blank vs. D.W.<br />

B<br />

A<br />

2- Study of the optimum reaction conditions<br />

The effects of various parameters on the<br />

absorption intensity of the dye were studied and<br />

the reaction conditions were optimized.<br />

2.1- Effect of time and temperature<br />

The effect of time (5-60 min.) and<br />

temperature (0-60 o C) on the reaction of PPH<br />

and DE-PPD were studied. As (Figure 2) shows<br />

by increasing temperature the absorbance of<br />

reactions decreased with the time. Therefore, the<br />

absorbance of the reaction product measured<br />

directly at room temperature.<br />

Fig (2): Effect of time and temperature on absorbance<br />

of reaction product. a, b, c, d, and e are 0°C, room<br />

temp., 40°C, 50°C, and 60°C, respectively.<br />

2.2- Effect of pH<br />

In order to study the effect of pH on reaction<br />

product, buffer solutions covering the alkaline<br />

range (pH 8-12 were prepared by mixing<br />

different volumes of both 0.1M sodium<br />

hydroxide and 0.1 M hydrochloric acid ) were<br />

tried . The optimum pH was found to be higher<br />

alkaline media (pH ≥ 12) by adding 0.1 M of<br />

sodium hydroxide (Table.1).<br />

Table (1): effect of pH on the absorbance of<br />

reaction product.<br />

pH λ max(nm) Absorbance<br />

Sample vs.<br />

blank<br />

Blank vs.<br />

D.W.<br />

8 570 0.142 0.312<br />

9 570 0.131 0.321<br />

10 570 0.146 0.352<br />

11 570 0.175 0.381<br />

12 685 0.691 0.047<br />

≈ 13, 0.1<br />

M NaOH<br />

685 0.720 0.033<br />

113


Absorbance<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 112-118, 2011<br />

Influence of an other buffer solutions were<br />

studied with the time, but best results were<br />

obtained by using sodium hydroxide (Figure 3).<br />

Fig (3): Effect of buffer solutions (pH=12) on the<br />

absorbance of reaction product with the time. a, b, c,<br />

and d are NaOH solution, (NaOH+KCl, pH=12),<br />

(NaH2PO4+NaOH, pH=12), and (Na2HPO4+NaOH,<br />

pH=12) respectively.<br />

The effect of sodium hydroxide mL of 0.1M<br />

sodium hydroxide solutions were examined. The<br />

investigations showed that 0.3mL of 0.1M<br />

sodium hydroxide gave maximum<br />

absorbance(Figure 4.).<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

114<br />

0<br />

0 0.5 1 1.5<br />

ml of 0.1 M NaOH<br />

Fig (4): Effect of volume of 0.1M of sodium<br />

hydroxide on the reaction product.<br />

2.3- Effect of N-Bromosuccinimide<br />

The effect of different concentrations of working<br />

solution of N-Bromosuccinimide was studied,<br />

and constant absorbance values were obtained at<br />

3×10 -3 M. Above this concentration, a decrease in<br />

the absorbance was observed. Different volumes<br />

of this concentration were studied, 3.0 mL gave<br />

a maximum absorbance (Figure 5).<br />

Absorbance<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

1 2 3 4 5 6 7<br />

ml of N-Bromosuccinimide<br />

Fig (5): Effect of volume of 3×10 -3 M of NBS<br />

on the reaction product<br />

2.4- Effect of coupling agent<br />

The effect of various concentration of<br />

coupling agent was studied using the proposed<br />

procedure, which found that 5×10 -3 M was the<br />

best for determination PPH. The influence of the<br />

volume of DE-PPD was studied. It was observed<br />

that 1.0 mL was the best volume (Figure 6).<br />

Absorbance<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

0.4<br />

0.3<br />

0.2<br />

0 0.5 1 1.5 2 2.5 3<br />

ml of DE-PPD<br />

Fig (6): Effect of volume of 5x10 -5 M of DE-PPD on<br />

the reaction product.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 112-118, 2011<br />

3- Calibration curve<br />

Under the above optimum conditions, the<br />

linear calibration curve (Figure 7) for PPH was<br />

obtained. Optical characteristics such as Beer’s<br />

law range, molar absorptivity, slope, intercept,<br />

of the method are presented in Table 2.<br />

Fig (7): Calibration curve for determination of PPH<br />

Compound Amount present<br />

(µg mL -1 )<br />

Phenylephrine<br />

Hydrochloride<br />

Table ( 2): Optical characteristics<br />

Parameters /<br />

Characteristics<br />

Color Blue<br />

ג max (nm) 685 nm<br />

Beer's law range (µg ml −1 ) 0.5-16<br />

Molar absorptivity (l mol −1<br />

cm −1 )<br />

Regression equation (Y =<br />

ax + b, where x is the<br />

concentration in µg ml −1 )<br />

Table (3): Accuracy and precision of the method.<br />

Amount added<br />

(µg mL -1 )<br />

11381<br />

Slope (a) 0.0559<br />

Intercept (b) 0.3603<br />

Correlation coefficient (r) 0.999<br />

4- Accuracy and precision<br />

The precision and accuracy of the proposed<br />

methods were evaluated by analysis of pure<br />

samples of PPH. The results are shown in Table<br />

3 indicate that satisfactory precision and<br />

accuracy could be attained with the proposed<br />

method.<br />

Recovery *<br />

(%)<br />

RSD **<br />

(%)<br />

2 2.07 103.50 1.69<br />

6 5.8 96.66 2.76<br />

10 10.1 101.00 1.99<br />

* Average of three determinations.<br />

** Average of six determinations<br />

115


Absorbance<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 112-118, 2011<br />

5- The nature of reaction product<br />

The composition of the reaction product was<br />

established by the continuous variations method<br />

and the mole ratio method (21) . These methods<br />

showed that a 1:1 reaction product of PPH and DE-<br />

PPD was formed (Figures. 8,9)<br />

116<br />

0.35<br />

0.3<br />

0.25<br />

0.2<br />

0.15<br />

0.1<br />

0.05<br />

0<br />

0 0.5 1 1.5 2 2.5<br />

Mole Ratio of [mL DE-PPD/ mL PPH]<br />

Fig (8): Mole ratio method.<br />

Absorbance<br />

0.4<br />

0.35<br />

0.3<br />

0.25<br />

0.2<br />

0.15<br />

0.1<br />

0.05<br />

0<br />

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />

Fig (9): The continuous variations method<br />

6- Reaction sequence<br />

[PPH]/[PPH]+[DE-PPD]<br />

DE-PPD was oxidized by using Nbromosuccinimide<br />

to p-benzoquinone diimine in<br />

alkaline medium at pH 9-10, and then analyzed to<br />

p-benzoquinone monoamine at pH ≥ 12, the later<br />

coupled rapidly with PPH to form blue color of<br />

indophenol dye, which have a maximum<br />

absorbance at 680nm.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 112-118, 2011<br />

7- Analysis of pharmaceutical preparations<br />

Application of the proposed methods to the<br />

determination of PPH in its dosage forms was<br />

successfully made; the results are presented in<br />

Table 4 and compare favorably with those of the<br />

standard addition method. The excellent<br />

recoveries obtained indicated the absence of any<br />

interference from the excipients<br />

Table (4): Determination of phenylephrine hydrochloride in pharmaceutical preparation.<br />

Pharmaceutical<br />

Preparation<br />

Certified value<br />

(mg/10 ml)<br />

Present<br />

amount*<br />

(mg/10 ml)<br />

Standard addition<br />

method (mg/10 ml)<br />

RE1** (%) RE2*** (%)<br />

Samaphrine 0.02500 0.02535 0.02498 +1.40 +1.48<br />

nasophrine 0.02500 0.02519 0.02541 +0.76 -0.86<br />

* Average of three determinations<br />

** RE1= Oxidative coupling versus certified value<br />

*** RE2 = Oxidative coupling versus standard addition value.<br />

8- Interference<br />

The extent of interference by common ions<br />

was determined by measuring the absorbance of<br />

a solution containing 10.0 μg/mL of PPH and<br />

various amounts of diverse species. The<br />

common ions do not interfere and the common<br />

excipients which often accompany the<br />

pharmaceutical preparations do not interfere in<br />

the present method.<br />

CONCLUSIONS<br />

The proposed methods were found to be<br />

simple, economical, selective and sensitive. The<br />

statistical parameters and recovery study data<br />

clearly indicate the reproducibility and accuracy<br />

of the methods. Hence, these methods could be<br />

considered for the determination of PPH in the<br />

quality control laboratories.<br />

REFERENCES<br />

� Goth, A. (1981). Medical Pharmacology Principle and<br />

Concepts. 10th ed., The Mosby C.V. Company.<br />

� Palabıyık, I. M., and Onur, F. (2007). The<br />

Simultaneous Determination of Phenylephrine<br />

Hydrochloride, Paracetamol, Chlorpheniramine<br />

Maleate and Dextromethorphan Hydrobromide in<br />

Pharmaceutical Preparations. Chromatographia, 66,<br />

93-96.<br />

� Beyene, N. W., and Van Staden, J. F. (2004).<br />

Sequential injection spectrophotometric<br />

determination ofphenylephrine hydrochloride in<br />

pharmaceutical preparations. Talanta, 63(3), 599-<br />

604.<br />

� Ptáček, P., and Macek, J. (2007). Development and<br />

validation of a liquid chromatography–tandem mass<br />

spectrometry method for the determination of<br />

phenylephrine in human plasma and its application<br />

to a pharmacokinetic study. J. of chromatography<br />

B., 858(1-2), 263-268.<br />

� Galmier, M. J., A. M. Frasey, A. M., Meski, S.,<br />

Beyssac, E., J. Petit , J., J. M. Aiache, J. M., and C.<br />

Lartigue, C. (2000). High-performance liquid<br />

chromatographic determination of phenylephrine<br />

and tropicamide in human aqueous humor.<br />

Biomedical chromatography, 14(3), 202-204.<br />

� Ivana Savić, Goran Nikolić, Ivan Savić, Vladimir<br />

Banković. (2008). The Simultaneous<br />

Spectrophotometric Determination Of Trimazolin<br />

And Phenylephrine Hydrochloride In Nasal<br />

Preparations. Chemical Industry & Chemical<br />

Engineering Quarterly 14 (4) 261−264.<br />

� Abbas, M. N, and Mostafa, G. A. E. (2001).<br />

Spectrophotometric Determination Of<br />

Phenylephrine Using P-Aminophenol And<br />

Potassium Periodate. Egyptian J. Chemistry, 44,<br />

141-149.<br />

� Shama S.A., (2002). Spectrophotometric Determination Of<br />

Phenylephrine Hcl And Orphenadrine Citrate In Pure And In<br />

Dosage Forms. Journal of Pharmaceutical and<br />

Biomedical Analysis. 30(4), 1385-1392.<br />

� Muszalska, I., Zajac, M., Wróbel, G., and Nogowska,<br />

M. (2000). Uv/vis Spectrophotometric Methods For<br />

Determination Of Caffeine And Phenylephrine<br />

Hydrochloride In Complex Pharmaceutical<br />

Preparations. Acta Pol Pharm. 57(4), 247-52.<br />

� Kazemipour, M., and Ansari, M. (2005). Derivative<br />

Spectrophotometry for Simultaneous Analysis of<br />

Chlorpheniramine Maleate, Phenylephrine HCl, and<br />

Phenylpropanolamine HCl in Ternary Mixtures and<br />

Pharmaceutical Dosage Forms. Iranian Journal of<br />

Pharmaceutical Research, 3, 147-153.<br />

� AHMED Ibrahim S. ; AMIN Alaa S. (2007).<br />

Spectrophotometric microdetermination of<br />

phenylephrine hydrochloride in pure and in<br />

pharmaceutical formulations using haematoxylin.<br />

Journal of molecular liquids, 130(1-3), 84-87.<br />

� José R.C. Rocha | Cristiane X. Galhardo | Maria<br />

Auxiliadora E. Natividade | Jorge C. Masini .<br />

(2002). Spectrophotometric Determination of<br />

117


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Phenylephrine Hydrochloride in Pharmaceuticals by<br />

Flow Injection Analysis Exploiting the Reaction<br />

with Potassium Ferricyanide and 4-<br />

Aminoantipyrine. J AOAC Int., 85(4), 875-878.<br />

� Chien, D. S., and Schoenwald, R. D. (1985).<br />

Fluorometric Determination Of Phenylephrine<br />

Hydrochloride By Liquid Chromatography In<br />

Human Plasma. J Pharm Sci. 1985 May ;74<br />

(5):562-564<br />

� Mestre, Y., F. Zamora, L., L., and Calatayud, J. M.<br />

(2001). Determination Of Phenylephrine<br />

Hydrochloride By Flow Injection Analysis With<br />

Chemiluminescence Detection. J AOAC Int., 84(1),<br />

13-18.<br />

� Yehia M. Dessouky and Laila N. Gad El Rub. (1976).<br />

Colorimetric Determination Of Phenylephrine<br />

Hydrochloride In Pharmaceutical Preparations.<br />

Analyst, 101, 717 – 719.<br />

� Moisés Knochen, and Javier Giglio . (2004). Flowinjection<br />

determination of phenylephrine<br />

hydrochloride in pharmaceutical dosage forms with<br />

on-line solid-phase extraction and<br />

spectrophotometric detection. Talanta, 64(5), 1226-<br />

1232.<br />

–<br />

118<br />

� Jos_ Mar_a Lemus Gallego Juli_n P_rez Arroyo .<br />

(2003). Determination of prednisolone,<br />

naphazoline, and phenylephrine in local<br />

pharmaceutical preparations by micellar<br />

electrokinetic chromatography. J. Sep. Sci., 26,<br />

947–952.<br />

� CIERI, U. R. (2006). Determination of Phenylephrine<br />

Hydrochloride, Chlorpheniramine Maleate, and<br />

Methscopolamine Nitrate in Tablets or Capsules by<br />

Liquid Chromatography with Two UV Absorbance<br />

Detectors in Series. J AOAC Int., 89(1), 53-57.<br />

� Lawrence J. Dombrowski, Patrick M. Comi, Edward<br />

L. Pratt. (2006). GLC Determination Of<br />

Phenylephrine Hydrochloride In Human Plasma.<br />

Journal of Pharmaceutical Sciences. 62(11), 1761-<br />

1763.<br />

� Amer, Sawsan M.; Abbas, Samah S.; Shehata, Mostafa<br />

A.; Ali, Nahed M. (2008). Simultaneous<br />

Determination Of Phenylephrine Hydrochloride,<br />

Guaifenesin, And Chlorpheniramine Maleate In<br />

Cough Syrup By Gradient Liquid Chromatography.<br />

J AOAC Int., 276-285.<br />

� R. Delevie, R. (1997). Principle Of Quantitative<br />

Chemical Analysis. McGraw-Hill International<br />

Edition, Singapore, p. 498-504.<br />

ةينلاديصلا تارضحتسملا نم ددع يف ديرولكورديه نيرفلينفلل يفيطلا ريدقتلا<br />

وملحملا يمف دميرولكورديه نيرمفلينفلا ر مقع نمم ةلينمل ت ميمك ريدمقتل ةمس سيو ةليرمسو ةلعمس ةميفيق ةمقيرق رمصو مت<br />

ميثأ يئ منث –<br />

N,N<br />

مم منارقأو<br />

ةصلاخلا<br />

ديمنيمسكسومورا-<br />

N ةطمساوا دميرولكورديه نيرمفلينفلا ةدسكأ ىلع ةقيرطلا دمتلت . يئ ملا<br />

ملتميو مملا يمف ومئام اريا بت من نيومكتل ويدومصلا ديمسكورديه دوميوا دميرولكوردي علا هد ميأ نيمميا يئ منث نيملينف-ار<br />

ما<br />

مغلاو<br />

. رمتللم/<br />

ارروركي مم 65 ىملإ 0.6 نمم نميكرتلا ادمم نممل قبطني<br />

ريا نون ق نأ ديو . رتمون ن 586 دنع ص صتما ىصقأ<br />

6-<br />

م نا ةمقيرطلا مقبقو دمقلملا نيومكتل ىمل ملا لورمولا ةمسارد متو .<br />

6-<br />

مس.<br />

ومم.<br />

رتل 66386 ةيرلاوملا<br />

ةيص<br />

صتملااةميق<br />

ريث مممت لا نأ دممميو ممممك ةينلاديمممصلا تارمممضحتسملا نمممم ددمممع يمممفو ةممميقنلا مممتل ي يمممف دممميرولكورديه نيرمممفلينفلا ريدمممقت يمممف<br />

.<br />

ةيرتقملا ةقيرطلا يف ةيئاودلا ت ف ضملل


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 119-126, 2011<br />

USE OF WATER QUALITY INDEX AND DISSOLVED OXYGEN<br />

SATURATION AS INDICATORS OF WATER POLLUTION OF ERBIL<br />

WASTEWATER CHANNEL AND GREATER ZAB RIVER. *<br />

YAHYA A. SHEKHA * and JAMAL K. AL-ABAYCHI **<br />

* Dept.of Environmental Science, College of Science, University of Salahaddin, Kurdistan Region-Iraq<br />

** Dept. of Biology, College of Science, University of Baghdad-Iraq<br />

(Received: August 1, 2010; Accepted for publication: June 4, 2011)<br />

ABSTRACT<br />

The present investigation was conducted on Erbil wastewater channel to evaluate water quality and pollution<br />

strength by using water quality index and oxygen saturation percentage. Seven sites were chosen for the present<br />

survey, three of them were within Erbil wastewater channel and the other four sites located in Greater Zab River.<br />

Water samples were collected at regular monthly interval periods beginning at May 2006 to April 2007. Some water<br />

parameters were analyzed in both water ecosystems including, water temperature, pH, EC, turbidity, DO, BOD 5,<br />

COD, NH4, NO2, NO3, and total dissolved phosphate.<br />

Water quality index was varied from 47, 53.7 to 55.4% for Erbil wastewater channel sites respectively, which<br />

classified as bad to medium type of water or as marginal type of water, while for Greater Zab River sites was varied<br />

from 71.8% at site 4 then decreased to 68% at site 5 and increased gradually from 71.1 and 71.3% at last two sites of<br />

river respectively, which classified as medium to good type according to European Union classification and as fair<br />

type water depending on Canadian classification. The variation of oxygen saturation appeared to be directly<br />

proportional to the water quality index.<br />

KEY WORDS: Water quality index, Dissolved oxygen saturation, Water pollution.<br />

Q<br />

INTRODUCTION<br />

uality of surface waters is a very<br />

sensitive issue. Anthropogenic<br />

influences as well as natural processes degrade<br />

surface waters and impair their use for drinking,<br />

industry, agriculture, recreation and other<br />

purposes(Simeonov et al., 2003).<br />

A water quality index has been considered as an<br />

important criterion for surface water<br />

classification (Hernandez-Romero et al., 2004).<br />

(Jonnalagadda and Mhere, 2001) Showed that<br />

this index provides a single number of that<br />

expresses overall water quality at a certain<br />

location and time based on several water quality<br />

monitoring. An index is a useful tool for<br />

describing the state of water column, sediments and<br />

aquatic life and for ranking the suitability of water for<br />

use by humans, aquatic life, wildlife, etc.<br />

( CCME, 2001).<br />

The determination of WQI requires a<br />

normalization step where each parameter is<br />

transformed into a 0- 100 scale, where 100 represents<br />

the maximum quality. The next step is to apply a<br />

weighting factor in accordance with the importance<br />

of the parameter as an indicator of water quality<br />

(Nives, 1999).<br />

Dissolved oxygen (DO) and Oxygen saturation<br />

(OS %) are parameters frequently used to evaluate the<br />

water quality on different water bodies. These<br />

parameters are strongly influenced by a combination<br />

of physical, chemical, and biological characteristics<br />

* Part of Ph.D.Sc. thesis of the first author.<br />

of stream of oxygen demanding substances, including<br />

algal biomass, dissolved organic matter, ammonia,<br />

volatile suspended solids, and sediment oxygen<br />

demand (Mullholand et al., 2005).<br />

The objective of the present work was to the use<br />

of WQI and OS % as indicators of the environmental<br />

quality of Erbil wastewater channel and Greater Zab<br />

River watershed to compare between both water<br />

bodies. For the determination of the WQI, Canadian<br />

standard (4) as shown in (Table, 1) and European<br />

Standard (EU, 1975) as shown in (Table, 2), for clean<br />

water were used as references in each case.<br />

Cited from PhD Dissertation<br />

MATERIALS AND METHODS<br />

Sampling for water variables was performed from<br />

seven sites at monthly intervals during May 2006 to<br />

April 2007. Three sites have been chosen along Erbil<br />

wastewater channel (Tooraq village, Qadria village<br />

and Gameshtapa bridge respectively) and four sites<br />

selected in distal part of Greater Zab River<br />

( Near Gameshtapa<br />

village, Unkown , Kaparan village and Guwer<br />

subdistrict respectively) (Figure, 1).<br />

Field determinations of pH, conductivity, and<br />

temperature were carried out using portable<br />

equipments pH meter (Philips PW 9414) and<br />

conductivity meter (Philips PW 9525) respectively.<br />

Turbidity by using turbidity meter (HF Scientific, inc.<br />

model BRF- 15 CE).<br />

Laboratory analyses were carried out for the<br />

determination of BOD5, COD, NH4, NO2, NO3<br />

according to methods described in (APHA, 1998).<br />

111


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 119-126, 2011<br />

While for total dissolved phosphate (TDP) as<br />

recommended in (Lind, 1979) and total dissolved<br />

nitrogen as described in (Mackereth et al., 1978). As<br />

well as, dissolved oxygen concentration (DO) was<br />

determined using azid modification of winkler<br />

method as described in (APHA, 1998), and oxygen<br />

saturation calculated from the following formula:<br />

Where:<br />

C = dissolved oxygen concentration obtain from<br />

laboratory analysis.<br />

Cs= saturation concentration of pure water at a<br />

similar temperature and pressure.<br />

For the determination of water quality index<br />

(WQI), the following empirical equation was used<br />

(Sanchez et al., 2007):<br />

Where:<br />

K= is a subjective constant, Ci= is the<br />

normalized value of the parameter<br />

Pi= is the relative weight assigned to each<br />

parameter.<br />

Table (3) shows the values suggested for<br />

parameters Ci and Pi, used in the calculation of<br />

WQI, which were based on European Union<br />

standards (EU, 1975).<br />

121<br />

RESULTS AND DISCUSSION<br />

In order to evaluate the feasibility of the WQI<br />

and oxygen saturation (OS %) as an indicator of<br />

water pollution level in water sample analyzed<br />

the values of these parameters were determined<br />

in the different sampling sites.<br />

Figures 2-5 show, the plots of the variation of<br />

WQI and OS % values for both studied water<br />

ecosystems. The values of WQI increased<br />

throughout the Erbil wastewater channel from 47<br />

to 53.7 then to 55.4% respectively which was<br />

coincided with the increase in OS % from 7.8 %<br />

to 27 % then to 43.2% respectively. The reason<br />

of this result was related to the characteristics of<br />

the polluted channel. As can be seen, the mean<br />

values of EC decreased from site 1 to site 3.<br />

Also, ammonium concentration decreased, while<br />

the concentration of NO3 increased in site 2 but<br />

decreased in site 3 (Table, 4), which showing that the<br />

nitrification process took place (Dodson et al., 1998).<br />

Moreover, the values of BOD5 and COD decreased<br />

from (89.3 to 38.3 mg.l -1 ) and (474 to 192 mg.l -1 )<br />

respectively, accompanied by an increase of DO<br />

level, as an indication of relatively self-purification<br />

(Hynes, 1960). According to (EU, 1975) the water<br />

can be classified as bad for site 1 and as medium for<br />

site 2 and 3, while depending on (CCME, 2001)<br />

classification, all sites were regarded as poor or<br />

marginal type (Grade D). That was considered as<br />

impaired water, condition often depart from natural or<br />

desirable levels.<br />

On the other hand, the water quality improved<br />

considerably downstream of Greater Zab River, the<br />

values of WQI were 71.8% in site 4 then decreased to<br />

68% in site 5 which coincided with effluent from<br />

Erbil wastewater channel, then increased to 71.1%<br />

and 71.3% respectively (Figure 5). Taking into<br />

account all the points sampled, the water from<br />

Greater Zab River may be classified as fair (Grade C)<br />

depending of the classification of (CCME, 2001),<br />

meanwhile according to (EU, 1975) classification the<br />

water of site 4 can be regarded as good to medium in<br />

site 5 then good in sites 6 and 7. The water quality<br />

index increased through the sampling sites 4-7,<br />

showing a certain self-purification capacity of Greater<br />

Zab River (Figure 5).<br />

The variation of OS % appeared to be directly<br />

proportional to the WQI, the maximum value being at<br />

site 3 in Erbil wastewater channel and in site 7 in<br />

Greater Zab River. However, the values of OS%<br />

improved the above results in which the OS value in<br />

site 4 was 73.74% decreased to 71.48% then<br />

increased to 74.14% and 81.33% respectively (Table<br />

4). According to (Key, 1956) based on OS% content<br />

the water quality of polluted channel was regarded as<br />

badly polluted, while Greater Zab River can be<br />

classified as doubtful for all sites except site 7 that<br />

was considered as a fair type. (Klein, 1959) Stated<br />

that OS % levels below 60-80% can be harmful to<br />

many aquatic animals.<br />

Generally, there is directly proportional relationship<br />

between water organic matter load with OS% in<br />

water bodies. Therefore, WQI well be affected by<br />

increasing and decreasing of OS%.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 119-126, 2011<br />

Table (1):- Grading scale and rationale used for the all Water Quality indicators (WQI), (4):<br />

Indicator<br />

(100- point<br />

scale)<br />

Ecological condition Grade<br />

point<br />

Grade<br />

95- 100 Excellent: water quality is protected with virtual absence of threat or<br />

impairment; conditions very close to natural or pristine levels<br />

4 A<br />

80- 94 Good: water quality is protected with only minor degree of threat or<br />

impairment; conditions rarely depart from natural or desirable<br />

levels<br />

3 B<br />

65- 79 Fair: water quality is usually protected but occasionally threatened or<br />

impaired; conditions some-times depart from natural or<br />

desirable levels<br />

2 C<br />

45- 64 Poor (marginal): water quality is frequently threatened or impaired;<br />

conditions often depart from natural or desirable levels<br />

1 D<br />

0-44 Very Poor: water quality is almost always threatened or impaired;<br />

conditions usually depart from natural or desirable levels<br />

0 F<br />

Note: Canadian water quality guidelines for the protection of aquatic life ( After Canadian Council of Ministers of the<br />

Environment, 2001)<br />

Table (2):- WQI values according to European standard (7).<br />

Range Quality<br />

0-25 Very Bad<br />

25-50 Bad<br />

51-70 Medium<br />

71-90 Good<br />

91-100 Excellent<br />

Note: European Union (1975).<br />

Table (3): Values of Ci and Pi for different parameters of water quality.<br />

Parameter Pi Ci<br />

100 90 80 70 60 50 40 30 20 10 0<br />

Range of<br />

analytical value<br />

pH 1 7 7-8 7-8.5 7-9 6.5-7 6-9.5 5-10 4-11 3-12 2-13 1-14<br />

EC 2


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 119-126, 2011<br />

122<br />

Fig. (1):- Map of:<br />

A- Northern part of Iraq.<br />

B- Studied sites.<br />

Table (4): Water characteristics of Erbil water channel and Greater Zab river, data represented as mean ± S.E.,<br />

during studied period.<br />

Variables<br />

Water<br />

temperature (ºC)<br />

pH<br />

EC (µS.cm -1 )<br />

( at 25ºC)<br />

Turbidity (NTU)<br />

DO (mg.l -1 )<br />

BOD5 (mg.l -1 )<br />

COD (mg.l -1 )<br />

NH4 (µg NH4-N.l -<br />

1<br />

)<br />

NO2 (µg NO2-N.l -<br />

1<br />

)<br />

NO3 (µg NO3-N.l -<br />

1<br />

)<br />

TDP (µg.l -1 )<br />

OS (%)<br />

A<br />

1<br />

20.8± 1.96<br />

7.15± 0.08<br />

630± 28.7<br />

49.8± 15.3<br />

0.75± 0.32<br />

89.3± 16.2<br />

474± 84.2<br />

12.7± 1.29<br />

116± 46.3<br />

677± 373<br />

989± 134<br />

7.78±3.34<br />

Erbil channel<br />

2<br />

19.1±2.12<br />

7.38± 0.06<br />

655± 40.9<br />

8.61± 1.44<br />

2.67±0.39<br />

33.2± 10.0<br />

287± 61.5<br />

17.4± 1.51<br />

80.3± 13.1<br />

1006± 749<br />

1044± 77.6<br />

26.95±3.96<br />

3<br />

19.1± 2.11<br />

7.58± 0.1<br />

722± 49.4<br />

22.8± 4.26<br />

4.36± 0.55<br />

38.3± 13.0<br />

192± 54.2<br />

12.4± 1.10<br />

772± 168<br />

940± 221<br />

945± 105<br />

43.17±4.83<br />

4<br />

17.7± 2.34<br />

7.7 ± 0.09<br />

389± 26.8<br />

61.7± 22<br />

7.01± 0.44<br />

4.60± 2.41<br />

128± 31.7<br />

1.00± 0.09<br />

51.8± 3.69<br />

854± 233<br />

108± 39<br />

73.74±2.73<br />

Greater Zab river<br />

5<br />

6<br />

17± 1.82 17.5± 2.11<br />

7.77± 0.08<br />

464± 36.9<br />

61.1± 21.9<br />

6.84± 0.43<br />

5.69± 2.16<br />

236± 127<br />

1.68± 0.17<br />

86.7± 8.69<br />

963± 241<br />

132± 16.2<br />

71.48±2.72<br />

7.84± 0.09<br />

410± 29.8<br />

62.9± 20.3<br />

7.04± 0.38<br />

3.63± 1.92<br />

107± 23.3<br />

1.04± 0.07<br />

46.7± 16.6<br />

916± 204<br />

74.2± 12.4<br />

74.14±1.67<br />

7<br />

17.7± 1.89<br />

7.83± 0.08<br />

402± 25.5<br />

66.6± 23.4<br />

7.59± 0.63<br />

5.97± 3.00<br />

104± 25.9<br />

1.00± 0.08<br />

44.4± 4.98<br />

948± 219<br />

68.8± 12.4<br />

81.33±6.53


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 119-126, 2011<br />

WQI (%)<br />

60<br />

55<br />

50<br />

45<br />

40<br />

site 1 site 2 site 3<br />

Fig. (2):- Water quality Figure(2): index and Water oxygen quality saturation index and in oxygen Erbil saturation wastewater in channel Erbil (values as mean± SE), water<br />

wastewater channel classified (values according as mean±SE), to (Eu, water 1975). classified<br />

according to (7).<br />

WQI (%)<br />

80<br />

75<br />

70<br />

65<br />

60<br />

55<br />

50<br />

45<br />

40<br />

47<br />

WQI OS<br />

Medium<br />

Fig. (3):- Water quality index<br />

Figure(3):<br />

in Erbil<br />

Water<br />

wastewater<br />

quality index<br />

channel<br />

in Erbil<br />

(values<br />

wastewater<br />

as mean±<br />

channel<br />

SE), water classified according to<br />

(CCME, 2001).<br />

( values as mean), water classified according to (4)<br />

Bad<br />

53.7<br />

Fair<br />

55.4<br />

Marginal<br />

0 1 2 3 4<br />

Sites<br />

C<br />

D<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

OS (%)<br />

123


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 119-126, 2011<br />

124<br />

WQI (%)<br />

Fig. (4):- Water quality index and oxygen saturation in Greater Zab river (values as mean± SE),<br />

Greater water Zab classified river (values according as to mean (EU, ± 1975). SE), water<br />

WQI (%)<br />

75<br />

70<br />

65<br />

60<br />

74<br />

72<br />

70<br />

68<br />

66<br />

64<br />

71.8<br />

Good<br />

WQI OS<br />

Medium<br />

site 4 site 5 site 6 site 7<br />

Figure(4): Water quality index and oxygen saturation in<br />

classified according to (7).<br />

68<br />

Fig. (5):- Water quality index Figure(5): in Greater Water Zab river quality (values index as mean± in Greater SE), zab water river classified according to (CCME,<br />

(values as mean), water 2001). classified according to (4).<br />

71.1<br />

71.3<br />

Fair C<br />

0 4 1 5 2 6 3 47 Sites<br />

5<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

OS (%)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 119-126, 2011<br />

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(CCME). (2001): Canadian water quality guidelines<br />

for the protection of aquatic life: CCME, Water<br />

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Use of the water quality index and dissolved<br />

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Voutsas, D.; Anthemidis, A.; Sofoniou, M. and<br />

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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 119-126, 2011<br />

126<br />

ىوائ زةس ةل ينحسكؤئ ىنووبسَيت ىةرَيز و وائ ىت ةيزؤج ىزةوَيث ىناهَيي زاكةب<br />

. ةزوةط ى َىش وسَيلوةي ىؤزةوائ لىانةك<br />

, وائ ىزَوج ىهيناش َوب ةزوةط ى َىش ىزابووز و سَيلوةي ىزاش ىَوزةوائ لىانةك زةسةلازدمانجةئ ةيةوةهيرََيوت<br />

مةئ<br />

َوب اسك ىزايد ةطتسَيو توةح . ينحسكَوئ ةب ىنووبسَيت ىزةوَيث و وائ ىت ةيزؤج ىزةوَيث<br />

ةتخوث<br />

ىناهَييزاكةبةب ىنوبسيث ىةمث<br />

. ةزوةتط ى َىش ىزاتبووز زةتسةل ةطتتسَيو زاوض و سَيلوةي ىَوزةوائ لىانةك ىيارَيزدةب ىاي َىس ةك ةوةهيرَيوت مةئ<br />

. 6002 ىناسين<br />

ؤب<br />

6002<br />

ىزاشائ ىطنام ىكَيجتسةد ةل ةناطنام ىكةيةوَيش ةب ىايرطزةو ىاكةنونم<br />

, وائ ىمَيل , ابةزاك ىندنايةط ىاناوت , ىهيجَوزدياي ىةزامذ , وائ ىامزةط ىةمث ؤخ ةتسط ىةنازةوَيث مةئ ةكةوةهيريوت<br />

ىتافسَوف , تاترين , تيترين , اينَومةئ , ينحسكَوئ ىياينيك ىتسيوَيث , ينحسكَوئ ىطةدهيش ىتسيوَيث , وةواوت ىهيحسكَوئ<br />

ىناكةطتسَيو ؤب كةي ىاودةب كةي % 7737 وكةوات 7.32 و72<br />

: ةوةزاوخ ىةمةل ةوةتَيسكب تزوك ىاكةمانجةئ<br />

َىسناوتةد ةو . ىتشط ىةواوت<br />

ىاوَين ةل اسك ىزايد وائ ىت ةيزؤج ىزةوَيث ىايةب<br />

ىةطتسَيو وود ةل دنةوان مام ؤب مةكةي ىةطتسَيو ةل ثاسخ ةل َىسكب وَيلؤث َىسناوتةد ةك سَيلوةي ىؤزةوائ لىانةك<br />

َىسطةدؤخةل مةزاوض ىةطتسَيو ةل % 2.37<br />

ةل ةزوةط ى َىش ىناكةطتسَيو ةل ةزةوَيث مةئ ادكَيتاك ةل مةَيس و مةوود<br />

ةل % 2.3. و 2.3. ةل ةمث ةب ةمث ىةوةنووبشزةب لةطةل مةحهَيث ىةطتسَيو ةل % 27<br />

ؤب َىشةبةداد ةزةوَيث مةئ ىاشاث<br />

ىةسَيوط ةب شاب ؤب دنةوان مام ىتةيزؤج ىاوَين ةل اسك وَيلؤث زابووز ىوائ ةو , كةي ىاود ةل كةي ىياود ىةطتسَيو وود<br />

ىةوام ةل ينحسكؤئ ىنووب سَيت ىةرَيز و وائ ىزؤج ىاوَين ةل ةيةي ةناوةتساز ىكةيدنةويةث ةو , ىثوزوةئ ىتَيكةي ىهيلؤث<br />

. ةوةهيرَيوت مةئ<br />

. ىلعلاا بازلا رهنو ليبرا يراجم ةانق هايملا ثولتل رشؤمك نيجسكولاا عابشا ةبسن و هايملا ةيعون<br />

رشؤم لامعتسا<br />

ةصلاخلا<br />

لامعتةس ب اةه ولا ةةجرب و هاةيملا ةةيعون ةةارعمل ىةلعرا بازةلا رةهنو لةيبرأ ةةنيدم يراةجم ةاةنق ىةلع ةةساردلا هذه تيرجأ<br />

ةاةنق نرةجم لوةو ىةلع اهنم ة لا ،ةيلاحلا ةساردلل تاطحم ةعبس رايتخإ ما . نيجسكولاا عابشأ ةبسن و هايملا ةيعون رشؤم<br />

اةةسين رهةةش ىةةتح 6002 راةةيا رهةةش نةةم اا ادةةتبإ ايرهةةش هاةةيملا جلاةةمن تذةةخأ . ىةةلعرا بازةةلا رةةهن زةةا اةةقاوم اةةبرأو لةةيبرأ<br />

. 6002<br />

نيجةةةسكورا ،ةروةةة<br />

علا ،ز اةةةبره لا ليةةةصوتلا ،زنيجوردةةةهلا را ، اةةةملا ةرارةةةح ةةةةجرب نةةةم الاةةةك اةةةيق ةةةةساردلا تلمةةةش<br />

تافةةةسوفلا ، تارةةةتنلا ،تةةةيرتنلا ،اةةةينومرا ،نيجةةةسكوال يواةةةيمي لا وةةةلطتملا ،نيجةةةسكوال يوةةةيحلا وةةةلطتملا ،باذةةةملا<br />

: زلي امك ج اتنلا صيخلا ن ميو . زل لا باذملا<br />

نة مي زةتلاو لةيبرأ يراةجم ةاةنق تاةطحمل ،زلاوتلا ىلع 7737 % ىلا ،7.32،<br />

72 نم هايملا ةيعون رشؤم ميق تحوارا<br />

تاةطحم زةا مية لا هذةه تةحوارا اةمنيب . ةةالاالا و ةةيناالا نيةتطحملا زةا ةطةسوتم ىةلا ىةلولاا ةةطحملا زةا زةس نم اهفينصا<br />

زجيردةتلا عاةفارلاا اةم ةةسماخلا ةةطحملا زةا % 27 ىةلا تة فخنا مة ةةعبارلا ةطحملا زا % 2.37 نم ىلعرا بازلا رهنو<br />

ةدةيجلا ىةلا ةطةسوتملا ةةيعون نيباةم رةهنلا هاةيملا تفنةص دةقو . زلاوةتلا ىةلع نيارةيخلاا نيةتطحملا زةا % 2.3. و 2.3. نةم<br />

ةرةتا للاةخ نيجةسكولاا عابةشأ ةبةسن و هاةيملا ةةيعون رشؤم نيبام ةيبرو ةقلاع تدجو امك . زبرولاا باحالاا فينصا وسح<br />

.<br />

ةساردلا


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

FLEXURAL ANALYSIS OF FIBROUS CONCRETE<br />

GROUND SQUARE SLAB<br />

AZAD A. MOHAMMED<br />

Dept. of Civil Engineering, College of Engineering, University of Sulaimani , Kurdistan Region, Iraq<br />

(Received: August 29, 2010; Accepted for publication: February 27, 2011)<br />

ABSTRACT<br />

In this paper, flexural analysis of ground square slab made of normal strength fibrous concrete subjected to<br />

central concentrated load is presented. Two models were proposed for analysis, one without the effect of stress<br />

concentration due to punching circular area under the load and the other with consideration of such effect. The<br />

proposed model is based on deriving moment-curvature relationship combined with the deflection behavior of the<br />

elastic plate. The second model can predict reasonably the cracking load , ultimate load and the load-deflection<br />

relationship. Comparison with the previous test data indicates that the ratio of test/ calculated ultimate load using<br />

model ( 1 ) is 2.48 and using Model ( 2 ) is 1.1. The effect of important parameters affecting the load-deflection<br />

response of fibrous concrete ground slab were studied.<br />

KEYWARDS: Curvature, Deflection, Fibrous Concrete, Ground Slab, Moment, Subgrade,<br />

U<br />

1-NTRODUCTION<br />

sing fiber reinforced concrete instead of<br />

normal reinforced concrete gained<br />

extensive applications in the case of concrete<br />

slabs on grade. This change is due to the<br />

acceptable crack control characteristics of<br />

distributed fibers inside the concrete especially<br />

in the zones of high stress concentration. Due to<br />

high truck loads, the slab is considered to be<br />

loaded with concentrated loads and there are<br />

locations of high stress concentration. In<br />

reinforced concrete slabs, there are zones<br />

between steel bars without reinforcement may<br />

subjected to cracking as a result of such high<br />

stress concentration. For this purpose the<br />

addition of fibers to concrete is quite necessary.<br />

Tests were reported by Beckett ( 1990 )<br />

indicate that the load carrying capacity of 3 x 3<br />

m slab tested on grade by central point load and<br />

separated by a membrane polythene from ground<br />

surface were increased by 45 – 90 % as a result<br />

of reinforcing the plain concrete with steel<br />

fibers. Other tests carried out by Chen ( 2004 )<br />

showed that there is a chance for using low<br />

amount of fiber ( lower than the minimum ratio<br />

indicated by Chinese construction practice ) and<br />

the load capacity can be effectively increased<br />

using different types of steel fibers.<br />

The analysis of continuous slabs is different<br />

compared with the separated square or<br />

rectangular one due to elastic geometrical<br />

deformations and the previous methods usually<br />

proposed for analysis and design of continuous<br />

slabsmay not applied directly in the case of<br />

separated slabs on grade. Previous works in this<br />

context indicated that the load capacity of<br />

ground slab can be predicted reasonably by<br />

assuming an ideally plastic concrete slab on<br />

elastic subgrade. Works by Westergaard ( 1948 )<br />

and Meyerhof ( 1962 ) may be a source for many<br />

specifications discusses the strength of slab on<br />

grade. Concrete Society: Concrete Industrial<br />

Ground Floors [ Concrete Society 1994) ] offers<br />

a design guide for SFRC ground slabs.<br />

It is observed from observation of cracking<br />

pattern of many tested square slabs on subgrade<br />

that there is a punching circular area under the<br />

point load formed at later stages of loading<br />

subjects to high cracking damage due to stress<br />

concentration. Studying the complete load-<br />

deflection relationship was not attempted<br />

extensively by previous investigations in the best<br />

of the author's idea.<br />

The present research is an attempt to draw<br />

the complete load- deflection response from<br />

which the cracking load, ultimate load and the<br />

nonlinear load-deflection behavior of fibrous<br />

concrete ground slab can be predicted. The<br />

analysis is based on calculating the momentcurvature<br />

relationship for a slab section then<br />

drawing the load-deflection response from the<br />

properties of elastic plate. The effect of tensile<br />

membrane action occurred after the slab section<br />

is fully cracked at the critical section was<br />

included in the analysis.<br />

2-ANALYSIS<br />

The idealized tensile and compressive stressstrain<br />

relationships used by Lim, Paramasivam,<br />

and Lee ( 1987 ) for the analysis of fibrous<br />

127


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

concrete beams shown in Fig.( 1 ) are adopted in<br />

the present analysis. Calculating moment –<br />

curvature relationship is based on the<br />

equilibrium of forces and compatibility of<br />

strains. According to the compressive stress-<br />

strain and tensile stress- strain relationships<br />

128<br />

different cracking stages will exist [ Fig.(2) ] and<br />

as a result nonlinear response is obtained. Hence,<br />

the material nonlinearity is included in the<br />

present analysis. It is assumed here that there is<br />

linear strain distribution and the load is applied<br />

statically without any shock or impact.<br />

Fig. (1):- Idealized Stress-strain Relationship for Fibrous Concrete r Lime, paramasivm , and Lee (1987)<br />

Fig.(2):- Stress and Strain Distribution Acting on Fibrous Concrete Section<br />

2-1 Moment-Curvature Relationship<br />

2-1-1 Elastic Stage<br />

Stress and strain distributions for this stage<br />

are shown in Fig. (2-a). Depth of the<br />

compression zone<br />

( c ) is calculated from equilibrium of<br />

compressive and tensile forces acting on the<br />

section, or<br />

C-T = 0 ------ ( 1 )<br />

Where C and T are the compressive and<br />

tensile forces acting on the slab section,<br />

respectively.<br />

It is assumed that the elastic modulus in<br />

compression and in tension are the same. As a<br />

result, the depth of compression zone for the<br />

elastic stage is equal to that in tension zone and


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

equal to h/2. On the basis of neglecting the<br />

effect of Poisson's ratio of concrete, the moment<br />

– curvature relationship per unit width becomes<br />

3<br />

Ech<br />

Me � -------- ( 2a )<br />

12<br />

Where Me is the moment of the elastic stage.<br />

Ec is the elastic modulus of fibrous concrete. In<br />

the absence of the test data, Ec can be<br />

approximately calculated from the ACI 318<br />

Code [ ACI ( 2005 ) ] as follows<br />

Ec = 4730 f ' cf ( in MPa ) ----- ( 2b )<br />

Where f'cf is the compressive strength of<br />

fibrous concrete ( MPa ). f'cf can be calculated<br />

from the equation given by Soroushian and Lee<br />

( 1991 ) as follows<br />

V flf<br />

f'cf = f'c + 3.6<br />

------ ( 2c )<br />

df<br />

Where f'c is the compressive strength of plain<br />

concrete ( MPa ), Vf is the fiber ratio, lf is the<br />

fiber length and df is the fiber diameter.<br />

This stage is valid until the matrix cracks, in<br />

which the corresponding curvature becomes<br />

2�cr<br />

�e<br />

� ------ ( 3a )<br />

h<br />

Where Фe is the limiting curvature for elastic<br />

stage and εcr is the cracking strain given by<br />

fr<br />

εcr =<br />

Ec<br />

----- ( 3b )<br />

where fr is the modulus of rupture for fibrous<br />

concrete. At the absence of test results fr can be<br />

calculated by the equation of ACI 318 Code [<br />

ACI ( 2005 ) ] as follows<br />

fr = 0.62 f ' cf ---- ( 3c )<br />

2-1-2 Elastic-Plastic Stage ( 1 )<br />

Stress and strain distributions for this stage<br />

are shown in Figure ( 2-b ). Taking the<br />

integration of the small value of force over the<br />

area and using equilibrium of forces, for this<br />

stage the depth of compression zone is given by<br />

2<br />

ftu ftu 2 2 ftu�cr<br />

Ec�cr<br />

c � � � ( ) � ( � � ftuh<br />

Ec�<br />

Ec�<br />

Ec�<br />

� 2�<br />

---(4)<br />

Where Φ is the curvature in general, and ftu<br />

is the post cracking residual stress for fibrous<br />

concrete. It is convenient here to use ftu = fe,3<br />

in which fe,3 is the equivalent flexural strength<br />

of fibrous concrete suggested to be used by the<br />

Japan Society of Civil Engineers standard<br />

method [ Japan ( 1984 ) ] which based on test<br />

results of beam specimen is given by<br />

fe,3 =<br />

TL<br />

------- ( 5a )<br />

2<br />

3bh<br />

where T is the area under the load – deflection<br />

curve for a fibrous concrete beam specimen,<br />

L is the span between supports,<br />

b is the beam width, and<br />

h is the beam depth.<br />

At the absence of test data for beam<br />

specimen, ftu can be calculated from the<br />

equation given by Hannant ( 1978 ) as follows<br />

1<br />

ftu = τ<br />

2<br />

V flf<br />

------- ( 5b )<br />

df<br />

Where τ is the interfacial bond stress between<br />

fiber and concrete.<br />

M<br />

ep<br />

2<br />

2<br />

�f<br />

' cf�o<br />

Ec�cr<br />

ftu�cr<br />

Ec�o<br />

� � � ftuh<br />

�<br />

� 2�<br />

� 2�<br />

�<br />

�f<br />

' cf � ftu<br />

-----(6a)<br />

Where α is the compressive stress reduction<br />

factor equal to 0.9 [ Lim, Paramasivam, and Lee<br />

( 1987 ) ]<br />

and<br />

�f<br />

' cf<br />

εo = ------ ( 6b )<br />

Ec<br />

This stage is valid until the curvature becomes<br />

�f<br />

' cf<br />

�ep � ------- ( 7 )<br />

Ecc<br />

2-1-3 Elastic- Plastic Stage ( 2 )<br />

Stress and strain distributions for this stage<br />

are shown in Fig.( 2-c ). Equilibrium of forces<br />

indicates that for this stage the depth of<br />

compression zone is given by<br />

129


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

Mp<br />

130<br />

2 2<br />

Ec(<br />

�o<br />

� �cr<br />

) � 2�ftuh<br />

� 2 ftu�cr<br />

� 2�f<br />

'cf�o<br />

c �<br />

2�(<br />

�f<br />

'cf<br />

� ftu)<br />

For the plastic stage the moment per unit width is given by<br />

2 3<br />

3<br />

3<br />

ftu �f<br />

' cf 3 ftu�cr<br />

Ec�o<br />

�f<br />

' cf�o<br />

Ec�cr<br />

ftuh<br />

� ( � ) c � ftuhc<br />

� � � � �<br />

2 2<br />

2<br />

2<br />

2 2<br />

2�<br />

3�<br />

2�<br />

3�<br />

2<br />

The terminating point for this stage is that<br />

curvature makes the cross section to undergo<br />

fully cracking and the analysis stopped here for a<br />

depth c to be 0.02 times the slab thickness.<br />

Later the tensile membrane action starts and the<br />

analysis for such stage is done approximately as<br />

discussed later.<br />

2<br />

-----(8)<br />

-----(9)<br />

2-2 Load-Deflection Relationship<br />

2-2-1 Case of square slab//////From the results<br />

of classical plate theory the deflection of<br />

rectangular elastic plate on subgrade subjected<br />

to central point load is given by [Timoshenko<br />

and Woinowsky- Krtege ( 1959 ) ]<br />

m��<br />

n��<br />

Sin Sin<br />

4P<br />

� �<br />

m x n y<br />

w<br />

a b � �<br />

� � �<br />

Sin Sin<br />

------- ( 10 )<br />

ab<br />

2 2<br />

m�1,<br />

3,..<br />

n�1,<br />

3,..<br />

4 m n 2 a b<br />

� D(<br />

� )<br />

2 2<br />

a b<br />

Taking the integration between the limits 0 and<br />

a and between 0 and b then taking the second<br />

derivatives of the deflection with respect to x ,<br />

the load curvature relationship becomes<br />

P �<br />

4�<br />

�<br />

� �<br />

2<br />

� � 4 2 2 4<br />

m�1 , 3,..<br />

n�1, 3,..<br />

� D(<br />

m � n ) � kb<br />

For a square plate, the deflection equation is<br />

given by<br />

2 � �<br />

1<br />

w � 4Pb<br />

� �<br />

------ (12)<br />

m�1 , 3,..<br />

n�1, 3,..<br />

4 2 2 4<br />

� D(<br />

m � n ) � kb<br />

2-2-2 Case of circular slab<br />

The load- moment relationship for a rigid<br />

slab on elastic foundation derived by Meyerhof<br />

( 1962 ) is used here for elastic-plastic and<br />

plastic stages and has a following form<br />

a<br />

Pc = 6 ( 1+ 2 ) Mo ----- ( 13a )<br />

l<br />

1<br />

Where l is the diameter of the relative<br />

stiffness given by<br />

D 0.25<br />

l = ( ) ------- ( 13b )<br />

k<br />

------ ( 11 )<br />

and a is the equivalent radius of the area under<br />

the point load. Mo is the moment in elasticplastic<br />

and plastic stages.<br />

The deflection equation for the circular plate<br />

on grade is given by [Timoshenko and<br />

Woinowsky- Krteger (1959)]<br />

Pc<br />

wc = ------ ( 14 )<br />

8 kD


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

2-2-3 Range of tensile membrane action<br />

The analysis presented above is accurate only<br />

when the value of the depth of compression zone<br />

( c ) remains realistic, otherwise there is another<br />

stage after that the section is fully cracked (value<br />

of c become too small ) . This stage is the stage<br />

of tensile membrane action occurred in the<br />

critical zone under the load.<br />

Using the stress distribution for fibrous<br />

concrete for ultimate moment capacity given by<br />

Hannant ( 1978 ) [ Model A ), a yield criterion<br />

for the enhanced moment due to the existence of<br />

tensile force acting at the mid-depth of the<br />

section to the moment without such force was<br />

drawn. The values of parameters α and β was<br />

calculated and found to be α = 0.66 and β =<br />

0.11.<br />

Using the equation given by Morley ( 1967 )<br />

for the case of polygonal slab the load<br />

enhancement factor is as follows<br />

�<br />

For ≤<br />

h<br />

2<br />

�<br />

�<br />

�<br />

2<br />

------- ( 15a )<br />

P � � 2<br />

=1+ ( + 2 ) (<br />

Po 12 � h<br />

� ) 2 -------(15b)<br />

Substituting the above ratios for α and β<br />

�<br />

For ≤ 0.25<br />

h<br />

P = 1 + 4.1 x 10 -5 h<br />

Po<br />

�<br />

Where P is the enhance load, Po is the control<br />

load to be enhanced, and Δ is the deflection for<br />

the tensile membrane action stage . Eq. ( 15b )<br />

offer approximate value of load enhancement<br />

because it is derived basically for simply<br />

supported slabs without subgrade. It should be<br />

noted that the load enhancement is effective only<br />

when the value of deflection Δ is too large . In<br />

the present study the stage on membrane action<br />

is useful for drawing the range of plastic portion<br />

of the load-deflection relationship and the load<br />

enhancement is not of considerable importance.<br />

2-3 Procedure for Analysis<br />

Two models are presented for analysis. In<br />

Model (1) the load-deflection for the slab is<br />

obtained by using the deflection equation for<br />

square plate for all cracking stages without<br />

considering the effect of circular area under the<br />

central point load. In Model ( 2 ) the deflection<br />

equation for the square plate is used only for the<br />

elastic stage. For other stages the calculated load<br />

and deflection are for a circular plate.<br />

Calculation steps for Model ( 2 ) are given<br />

below.<br />

1- calculate the moment for elastic stage from<br />

Eq. ( 2a ) and check the curvature limit from<br />

Eq. ( 3a ).<br />

2- calculate the flexural rigidity from dividing<br />

the moment by the curvature.<br />

3- calculate the load from Eq. ( 11 ) and later the<br />

deflection from Eq. ( 12 ).<br />

4- increase the curvature and calculate the depth<br />

of compression zone from Eq. ( 4 ) and the<br />

moment from Eq. ( 6 ) for elastic- plastic stage.<br />

Calculate the flexural rigidity from dividing the<br />

moment by the curvature.<br />

5- calculate the load from Eq.( 13a ) and the<br />

deflection from Eq. ( 14 ) for the circular area.<br />

6- check the curvature limit of elastic-plastic<br />

stage from Eq. ( 7 ). Repeat steps ( 4 ) to ( 6 ).<br />

7- for the curvature value larger than the limit of<br />

Eq. ( 7 ), increase the curvature and calculate the<br />

depth of compression zone from Eq. ( 8 ) and the<br />

moment from Eq. ( 9 ) for plastic stage.<br />

Calculate the flexural rigidity from dividing the<br />

moment by the curvature.<br />

8- repeat step ( 5 ).<br />

9-for any depth of compression zone of 0.02<br />

times the slab thickness, calculate the load<br />

enhancement factor from Eq. ( 15b ) and then<br />

the enhanced load by multiplying the factor by<br />

the final load obtained from step ( 8 ).<br />

3- COMPARISON BETWEEN TEST AND<br />

ANALYSIS<br />

It is necessary here to check the accuracy of<br />

the predicted loads and load-deflection<br />

relationship through a comparison with the test<br />

data for fibrous concrete slab on grade. Four<br />

slabs were cast and tested by Chen( 2004 ), three<br />

of them were reinforced with steel fiber. The<br />

tested slabs were reinforced with steel fiber with<br />

ratios of 0.38% and 0.26% and were tested on<br />

subrade of stiffness equal to 0.055 N/mm 3 . The<br />

slab dimensions were 2000 x 2000 x 120 mm<br />

and the cube compressive strength were 27.4<br />

MPa , 26.3 MPa and 26.5 MPa. Table ( 1 )<br />

contains the values of cracking and ultimate<br />

loads obtained by Chen ( 2004 ). The ultimate<br />

131


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

load ( Pu ) is the central load when cracks<br />

develop through the full depth of the slab at the<br />

center. Values of calculated cracking and<br />

ultimate loads using Models ( 1 ) and ( 2 ) are<br />

also shown in the table in addition to the test /<br />

calculated loads. Both models offer the same<br />

cracking load. Because the cracking load is that<br />

for the square slab and the difference between<br />

the two models begins after elastic stage. The<br />

ratio of test / calculated cracking load is high<br />

because the test cracking load given by Chen<br />

( 2004 ) is that load related to visible cracks that<br />

appeared at the slab edges and cached by the<br />

tester, while the calculated one is the load<br />

produces firs crack at the tension face under the<br />

load which is invisible. The test / calculated<br />

ultimate load is 1.46 for Model ( 1 ) and 1.1 for<br />

Slab<br />

Code<br />

DS1<br />

DS2<br />

HS<br />

Mean<br />

132<br />

Model ( 2 ). It is obvious that the Model ( 2 )<br />

gives better prediction. Therefore it is necessary<br />

to incorporate the effect of stress concentration<br />

occurred in the punching zone under the<br />

concentrated load. It is useful to note that the<br />

Model ( 1 ) offers accurate prediction for the<br />

case of fibrous concrete ground slab subjected to<br />

uniformly distributed load. Fig. ( 3 ) to ( 5 )<br />

shows the load-deflection relationship<br />

for tested slabs in addition to load-<br />

deflection relationship obtained from the<br />

calculation steps presented above. It is shown<br />

that Model ( 2 ) offers better prediction for the<br />

most entire range of load – deflection<br />

relationship. Accordingly the load-deflection<br />

relationship can be predicted reasonably using<br />

the present analytical procedure.<br />

Table ( 1 ):- Comparison between test and calculated cracking and ultimate loads<br />

Test Load ( kN ) Calculated Load (kN) Calculated Load (kN)<br />

Test / Calculated Load<br />

[Model (1)]<br />

[Model (2)]<br />

Pcr Pu Pcr Pu Pcr Pu Pcr Pu<br />

Pu<br />

[ Model (1)] [ Model (2)]<br />

151<br />

151<br />

-<br />

276.5<br />

278.8<br />

217<br />

50.98<br />

55.3<br />

44.95<br />

188.5<br />

209.6<br />

137.5<br />

4- EFFECT OF SOME PARAMETERS<br />

It is convenient here to study the role of the<br />

available parameters affecting the strength and<br />

deformations of fibrous concrete ground slab<br />

through observing the shape of load- deflection<br />

response and measuring the ultimate load. The<br />

parameters truckled here are the fiber ratio ( Vf ),<br />

slab thickness ( h ), concrete compressive<br />

strength ( f'c ), subgrade stiffness ( k ), and slab<br />

dimensions ( a and b ). The control slab has the<br />

following properties , Vf = 1 %, h = 150 mm, f'c<br />

= 30 MPa, k = 0.04 N/mm 3 , a = b = 3 m . Fig.<br />

( 6 ) to Fig.( 10 ) show the load-deflection<br />

relationship variation with the parameters<br />

variation. The shape of load-deflection<br />

relationship is slightly changed due to increasing<br />

the ultimate load in Fig. ( 6 ) and Fig.( 7 ) and<br />

not changed for other cases. The ultimate load<br />

band is high in Fig.( 6 ) and Fig.( 7 ) indicates<br />

50.98<br />

55.3<br />

44.95<br />

246.1<br />

285.9<br />

181.6<br />

2.96<br />

2.73<br />

-<br />

1.47<br />

1.33<br />

1.58<br />

1.12<br />

0.98<br />

1.19<br />

2.85 1.46 1.1<br />

that the role of changing the parameter is<br />

important. To take a more clear view of the<br />

influence of each parameter Fig.( 11 ) was<br />

constructed. In the figure the slope of a given<br />

line indicates the role of the parameter on the<br />

ultimate load capacity. It is clear that the most<br />

important parameter is the slab thickness<br />

followed by the fiber ratio in the concrete. The<br />

parameters of subgrade stiffness and slab<br />

dimensions have a small effect and the concrete<br />

compressive strength has no effect on the<br />

ultimate load capacity of the slab. Based on the<br />

present analysis result it is important to note that<br />

fibrous concrete separated slab must be<br />

constructed with higher thickness from a<br />

concrete mix contains high fiber ratio. The<br />

effect of other slab properties and subgrade type<br />

has a small influence on the slab strength.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

Fig. (3):- Test and calculated load-deflection relationship for slab DS1<br />

Fig. (4):- Test and calculated load – deflection relationship for slab DS2<br />

Fig.(5):- Test and calculated load – deflection relationship for slab Hs<br />

133


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

134<br />

Fig.(6):- Variation of load – Deflection Relationship for Fibrous concrete Slab with Fiber Ratio<br />

Fig.(7):- Variation of load –Deflection Relationship for Filbrous Concrete Slab with Slab Thickness<br />

Fig. (8):- Variation of Load – Deflection Relationship for Fibrous Concrete Slab<br />

with concrete compressive Strength


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

Fig.(9):- variation of load – Deflection Relationship for Fibrous Concrete Slab with Subgrade Stiffness<br />

Fig. (10):- variation of Load – Deflection Relationships for Fibrous Concrete Slab with Slab Dimensions<br />

Fig.(11):-Percentage of Ultimate load with Parameter Weight Variation<br />

135


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

136<br />

5- CONCLUSIONS<br />

Based on the results of the present analytical<br />

method presented above the following<br />

conclusions can be drawn<br />

1- The cracking load, ultimate load and the<br />

load-deflection relationship of fibrous concrete<br />

ground slab subjected to concentrated load can<br />

be predicted reasonably based on deriving<br />

moment-curvature relationship combining with<br />

elastic plate theory results.<br />

2- To obtain an accurate prediction it is<br />

necessary to incorporate the effect of stress<br />

concentration produced by the concentrated load<br />

in the analysis. As this done the ratio of test /<br />

calculated ultimate load can be changed from<br />

1.46 to 1.1.<br />

3- Those parameters affecting the ultimate load<br />

capacity of the ground slab is slab thickness<br />

followed by fiber ratio. Other parameters like<br />

slab dimensions, concrete compressive strength<br />

and subgrade type has no considerable<br />

importance on the ultimate load capacity of the<br />

slab.<br />

REFERENCES<br />

- ACI ( 2005 ) ,Building code requirements., ACI 318M-<br />

05 , American Concrete Institute, Detroit, USA<br />

- Beckett, D., ( 1990 ) , Comparative tests on plain, fabric<br />

reinforced and steel fiber reinforced ground slabs.<br />

Concrete, 24, 3, 43-45<br />

- Chen, S. , ( 2004 ), Strength of steel fiber reinforced<br />

concrete ground slabs. Structures and Building,<br />

SB2, 157-163<br />

- Concrete Society: Concrete industrial ground floors,<br />

(1994), A guide to their design and construction.<br />

Slough, Technical report, 34<br />

- Hannant, D.J.,( 1978 ), Fiber cements and fiber<br />

concretes. John Wiley and Sons.<br />

- Japan Society of Civil Engineers, ( 1984 ), Method of<br />

tests for flexural strength and flexural toughness of<br />

steel fiber reinforced concrete, JSCE-SF4<br />

- Lim, T. Y. , Paramasivam, P. and Lee, S.L. ( 1987 ),<br />

Bending behavior of steel fiber concrete beams.<br />

ACI Structural Journal, 84, 6 , 524-536<br />

- Meyerhof, G.G., ( 1962 ), Load carrying capacity of<br />

concrete pavements. Journal of Soil mechanics and<br />

foundations division, ASCE, 88, SM3, 89-116<br />

- Morley , C.T. ( 1967 ), Yield line theory for reinforced<br />

concrete slabs at moderately large deflection.<br />

Magazine of Concrete Research , 19 , 61 , 211-222<br />

- Soroushian, P. and Lee, C.D.,( 1991 ), Constitutive<br />

modeling of steel fiber reinforced concrete under<br />

direct tension and compression. Fiber reinforced<br />

cements and concretes, R.N. Swamy and Barr Eds.,<br />

Elsivier applied science, New York, 363-377<br />

- Timoshenko ,S.P. and Woinowsky- Krteger, S., ( 1959 ),<br />

Theory of plates and shells. New York, McGraw-<br />

Hill<br />

- Wesrergaard, H. M., ( 1948 ), New formulas for stresses<br />

in concrete pavement of airfields. Transactions of the<br />

American Society of Civil Engineers, 113, 425-444<br />

ىتَيسكنؤك ةل واسك تضوزد ىوةشزةض ىناب ىةوةنامةض ىزاكيش ؤب ةواسك شةكشَيث كةياطَيِز ادةيةوةهيَلؤكَيل مةل<br />

ىتزوك<br />

ةةل ىزاكيةش ؤةب ةواسةك شةكةشَيث ةةنونم وود . كات ىياضزوق ةب واسك زاب ينهضائ ىَلاشيِزةب واسك صَيهةب و ةداض<br />

ةل و ةوازدةن َىث ى َىوط تادةدووِز ةكةي ىياضزوق سَيذ ىةييةنشاب<br />

ةشةب و ةل زاشف ىةوةنوبِسض ىزاكؤه ادنايمةكةي<br />

شةكشَيث ةي ىزاكيش ةنونم وةئ . ةواسك َلى ىضاب ادمةوود ىةنونم<br />

ىتَيمث ىةشَيكواه َلةطةل ىنادَيسط و ةوةناِزوض -سبةش<br />

ىيةوامةض ىدنةويةث ةب تنضةب تشث ةب ةواسن دايهب ةواسك<br />

ىدنةويةث ةو , ىياضزوق اتؤك,<br />

ندسب شزد ىياضزوق ىهيبشَيث تَيسناوتةد ىزاكيشؤب مةوود<br />

ىةنونم ىناهَيهزاكةب ةب . ادمزةن<br />

ىمانجةةئ َلةطةل ىزاكيش ىمانجةئ ىندسك دزوازةبةب<br />

. تَيسكب شاب ىكةيةوَيش ةب ىوةشزةض ىناب ىهيشةباد-ىياضزوق<br />

و مةكةي ىمَيدؤم ىناهَيه زاكةب ةب 84.2 ةب ةناطكةي واسك ىهيبشَيث/<br />

تطَيت ىياضزوق اتؤك ىةرَيِز ةك اسهيب ادناكةتطَيت<br />

ةيةه نايَلؤِز ةك طنسط ىزاكؤه كَيدنةه زةضةل ةواسك ةوةهيَلؤكَيل . مةوود ىمَيدؤم ىناهَيهزاكةب ةب141<br />

ةب ةناطكةي<br />

.<br />

ينهضائ ىَلاشيِزةب واسك صَيهةب و ةداض ىتَيسكنؤك ةل واسك تضوزد ىوةشزةض ىناب ىهيشةباد -ىياضزوق<br />

ىدنةويةث ةل


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 127-137, 2011<br />

ةحلةحقلام ةةمماققلا ةةيداع ةناسرخلا نم ةعونصم ةيضرلاا تاطلابلل ءانحنلاا ليلحت ةقيرط ميدقت مت ىلاحلا ثحبلا ىف<br />

ىةةف داةة نلاا ةةي رت ريا ةةت لاةةثدا ملةةي مةةل لملاا ىةةف , لةةيلحللل نينيوةةقن<br />

ميدةةقت مةةت .<br />

ةة رقلا لةةقحلا ريا ةةت تةةحت<br />

ةصلاخلا<br />

ىةلع دةقلمي يرةلققلا لةيلحللا.<br />

راةبلعلاا رةتنب ريا ةللا أةثا مةت ىناةنلا ىةفم ة رقلا<br />

لةقحلا تةحت ةةطلابلا ىف ةيرئادلا ةحاحقلا<br />

لةةيلحللل ىناةنلا ثيوةةقنلا لاقملةساب . ةةنرقلا ائائةةصلل دملاا ةةلدامم لةةم ةعبر م ووةقللا-<br />

ئاةلنلا لةم ةةنراققلا مت امدنع . دملاا-لقحلا<br />

ة لاع م ىص لاا لقحلا<br />

ادخلةةةسابم 84.2 ىةةةه لملاا ثيوةةةقنلا ادخلةةةساب رةةةتنلا/<br />

اةةيللااب<br />

ةةملل ةةيعخلا رةةيا ةة لاملا ااقلةشا<br />

, ققشللل ببحقلا لقحلاب دين لكشب ؤبنللا نكقي<br />

رةةةبلخقلا ىةةص لاا لةةةقحلا ةبةةةحن ةةةب دةةةنم ةقباةةةحلا ةةةيربلخقلا<br />

ةناةسرخلا نةم ةيةضرلاا تاةطلابلل دملاا-لةقحلا<br />

ةة لاع ىةلع راؤةت ىةللا ةةق قلا لةماوملا ةةسارد مت<br />

.<br />

4141<br />

ىه ىنانلا ثيوقنلا<br />

ايللااب ةحلحقلام ةمماققلا ةيداع<br />

137


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

838<br />

TESTS ON AXIALLY RESTRAINED FERROCEMENT SLAB STRIPS<br />

AZAD ABDULKADR MOHAMMED * and YAMAN SAMI SHAREEF **<br />

* Dept. of Civil Engineering, College of Engineering, University of Sulaimani, Kurdistan Region-Iraq<br />

** School of Engineering, Faculty of Engineering, University of Duhok, Kurdistan Region-Iraq<br />

(Received: August 30, 2010; Accepted for publication: June 20, 2011)<br />

ABSTRACT<br />

Flexural strength and deformation of axially restrained ferrocement slabs and thin reinforced slabs were studied<br />

through laboratory tests on 36 slab strips. Special steel frame was fabricated to furnish axial restraint for preventing<br />

outward movement of the strip at supports. Test results indicate that due to existence of axial restraints, properties of<br />

cracking load, ultimate load, corresponding deflections as well as load-deflection relationship were considerably<br />

changed. Due to existence of end restraints cracking load was increased slightly, however, as a result of produced<br />

compressive membrane action the ultimate load was increased significantly which found to be higher for thinner<br />

slabs. Such load increase can be obtained without reduction in ductility compared with unrestrained slabs. The role of<br />

slab thickness on ductility was found to be not important for all types of tested slabs. Ferrocement slabs showed better<br />

load capacity compared with those slabs reinforced with steel bars but the ductility was reduced to about one half.<br />

T<br />

1- INTRODUCTION<br />

he application of ferrocement can be<br />

observed in the case of boat hulls,<br />

floating marine structures, silos, water tanks,<br />

folded plate and shell roofs, wind tunnels, pipes,<br />

in repairing of damaged structures and in<br />

architectural or decoration purposes. According<br />

to ACI 549R-01 Committee [1] ferrocement is<br />

defined as a type of thin reinforced concrete<br />

element commonly constructed of cement-sand<br />

mortar reinforced with closely spaced layers of<br />

continuous and relatively small diameter wire<br />

meshes. The mesh may be made of metallic or<br />

other suitable materials.<br />

Many tests were carried out on flexural<br />

behavior and ultimate flexural strength of<br />

ferrocement sections as done by Rao and<br />

Gowdar [2] and Balaguru et al [3] and others.<br />

Ferrocement slab roofs are usually used in low<br />

cost housing projects in the form of pre-cast unit<br />

erected one beside another. If there is no gap<br />

between them or the existing gap is to be filled<br />

with a cementitious material, the given slab has<br />

axially restrained ends against outward<br />

movement. As a result, membrane forces will be<br />

produced and the phenomenon of arch action<br />

will occur. The effect of membrane action was<br />

found to increase the load carrying capacity of<br />

the conventionally reinforced concrete slab [4].<br />

A few number of published researches are<br />

available that deal with behavior of slabs made<br />

from non-conventional concrete like fibrous<br />

concrete and ferrocement, subjected to both inplane<br />

force and flexural moment. Taylor and<br />

Mullin [5] extended the existing knowledge of<br />

arching action in laterally restrained slabs to<br />

analyze glass fiber reinforced plastics (GFRP)<br />

type of slab. The results of laboratory tests on<br />

six one-way spanning slabs with varying<br />

concrete strengths, reinforcement type (steel or<br />

GFRP) and slab boundary condition were tested.<br />

The deflection was higher in the (GFRP)<br />

reinforced slab compared to the steel reinforced<br />

slab. This increase in deflection was attributable<br />

to the low modulus of elasticity of GFRP. In the<br />

laterally restrained slabs, the deflections were<br />

less in the slabs reinforced with GFRP compared<br />

to the equivalent slabs reinforced with steel.<br />

In the best of authors idea, there is a<br />

shortcoming in knowledge about the flexural<br />

strength and deformation of ferrocement slabs<br />

and reinforced concrete thin slabs having axially<br />

restrained edges. In the present paper the flexural<br />

behavior of ferrocement slab strips were studied<br />

through experimental laboratory tests. The<br />

effects of end restraint, slab thickness,<br />

reinforcement ratio and span length on the<br />

flexural strength and deformation were<br />

illustrated and discussed.<br />

2- EXPERIMENTAL WORKS<br />

2-1 Materials<br />

For casting concrete slab strips ordinary<br />

Portland cement (OPC) [Type (I) ASTM]<br />

manufactured by Kurtlen factory / Turkey was<br />

used. The chemical composition and physical<br />

properties are shown in Table (1). It is shown<br />

that the cement used conforms to the Iraqi<br />

standard limits. Clean, Natural River sand of


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

normal weight type prepared from Fishkhaboor /<br />

Zakho pit was used in the experimental works.<br />

The fine aggregate used passes 100 % through<br />

sieve No. 8 (2.36 mm). The specific gravity was<br />

2.68. Results of sieve analysis indicated that the<br />

sand grading falls within ASTM-C33 [6] limits<br />

as shown also in Table (2). Commercially<br />

available square welded galvanized wire mesh<br />

(SWGM) was used with the average diameter of<br />

0.6 mm and of 12 mm spacing between wires.<br />

Two types of skeletal smooth steel of 2.48 mm<br />

diameter and deformed steel of 4.5 mm diameter<br />

were also used. Properties and results of yield<br />

and ultimate stresses are shown in Table (3) and<br />

the stress-strain relationship for reinforcements<br />

used is shown in Figure (1).<br />

Table (1): Chemical composition and Physical properties of cement used in the present work<br />

Chemical component Projects cement<br />

%<br />

CaO 63.17<br />

SiO2 19.56<br />

Ai2O3 5.31<br />

Fe2O3 3.56<br />

Iraqi standards No.5 (1984) limits<br />

SO3 1.83 1 - 3<br />

MgO 2.37 5 % max.<br />

Loss of ignition 2.55 4 % max.<br />

Insoluble residue 0.39 1.5 % max.<br />

L.S.F. 0.97 0.66 - 1.02<br />

C3S 62.46<br />

C2S 9.04<br />

C3A 8.05<br />

C4AF 10.82<br />

Physical Test Results IQS 5 limits<br />

Fineness (Blaine Air Permeability) 3124 cm 2 /g Min. 2250<br />

Initial setting time 2.46 hr Min. 1 hr<br />

Final setting time 3.53 hr Max. 10 hr<br />

Compressive strength (3 days) 404 kg / cm 2 Min. 160<br />

Compressive strength (7 days) 474 kg / cm 2 Min. 240<br />

Soundness (Le Chatelier) 1.5 mm Max. 10 mm<br />

Specific Gravity 3.15<br />

Table (2): Sieve analysis of fine aggregate<br />

Sieve size Limit of percentage passing ASTM-<br />

Total percentage passing (by<br />

No. 8 (2.36 mm) C33-03[6] 80 - 100 weight) 100<br />

No. 16 (1.18 mm) 50 - 85 72<br />

No. 30 (0.60 mm) 25 - 60 47<br />

No. 50 (0.30 mm) 5 – 30 22<br />

No. 100 (0.15 mm) 0 - 10 5<br />

Table (3): Yield and ultimate strengths of wire mesh and steel reinforcement<br />

Properties Wire mesh Steel reinforcement<br />

Type of reinforcement SWGM Smooth Deformed<br />

Diameter (mm) 0.6 2.48 4.5<br />

Yield stress, fy ( MPa) 458 393 440<br />

Ultimate strength, fu( MPa) 481 455.5 593<br />

839


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

841<br />

Fig. (1): Stress-Strain relationship for wire mesh and skeletal reinforcements<br />

2-2 Description of Slab Strips<br />

The slab strips can be classified into two<br />

main types. The first type is axially restrained<br />

slabs, while the second one includes those slabs<br />

that axially unrestrained at ends. For this<br />

purpose a total of 36 slab strips were cast. All<br />

slab strips were 475 mm width, with 1575 mm in<br />

length, and variable thicknesses of 25, 37 and 50<br />

mm. Clear span for all strips was 1450 mm<br />

except for strips S4-5 and S4-6 the clear span was<br />

1000 mm. Accordingly slab aspect ratios were<br />

58, 38.7 and 29 for thicknesses 25 mm, 37 mm<br />

and 50 mm, respectively . For slab S4-5 the aspect<br />

ratio was 26.7 and for slab S4-6 was 20. A<br />

constant mix proportion of 1: 2: 0.45 (cement:<br />

sand: water / cement ratio) was used throughout<br />

the experimental works. According to ACI 549R<br />

-01 specification [1], ratio of sand/cement is<br />

limited between 1 and 3. Test variables can be<br />

summarized to the following parameters: end<br />

restraint conditions, thickness, number of wire<br />

Fig. (2): General view of slab mould<br />

mesh layers, and type of reinforcement.<br />

Properties of strips in detail can be found in<br />

Table (4).<br />

2-3 Detail of the Moulds<br />

Two steel moulds were used for casting slab<br />

strips. The base of moulds was steel of 550 mm<br />

width and 1700 mm length. Edge strips of equalleg<br />

angle cross-section were provided with three<br />

different leg widths of 25, 37, and 50 mm in<br />

order to obtain variable thickness of the strip.<br />

According to ACI 549R specification [1] the<br />

ferrocement section should be not smaller than<br />

6mm and not more than 50mm. The angle strips<br />

were tightly connected to the steel base by mean<br />

of 8 mm diameter screws spaced at 150 mm c/c<br />

to prevent any leakage of mortar during<br />

compaction. Figure (2) illustrates the view of the<br />

steel mould for slab strips and steel cubes (100 ×<br />

100 × 100 mm) used for casting cube specimens<br />

to measure the compressive strength of mortar.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

2-4 Mixing and Casting Processes<br />

The wire mesh and steel reinforcement were<br />

cut to an appropriate size and the wire mesh<br />

layers were well straightened, then they were<br />

oriented in longitudinal direction along the span.<br />

Sand and cement were first mixed by hand for<br />

about five minutes, and then water was added<br />

and mixed for other two minutes in order to<br />

obtain a homogeneous mixture. The layers were<br />

distributed either in the form of single layer or<br />

pair of layers according to the required<br />

reinforcement ratio. First, the mortar was spread<br />

inside the mold homogeneously and well leveled<br />

to obtain about 3 to 5 mm thickness cover and<br />

the wire mesh was then put on the mortar layer.<br />

The new batch of mortar was then spread and<br />

well leveled and the process was repeated until<br />

all layers of wire meshes were provided. The<br />

surface of slab strip was well leveled by mean of<br />

trowel for obtaining a constant thickness of the<br />

slab. With each slab, three (100 × 100 × 100<br />

mm) cubes were cast to measure the mortar<br />

compressive strength. Concrete cubes and slab<br />

strips were left inside the mould for one day, and<br />

2-6 Instrumentation and Testing<br />

All slabs were tested by applying two central<br />

point line loads spaced 300 mm at top surface of<br />

the slab and gradually until failure. Universal<br />

computerized testing machine of (Walter + Bai<br />

AG/ Switzerland / 08 - 2003) type was used for<br />

testing slab strips and concrete cubes. The<br />

general view of the testing machine can be seen<br />

in Figure (4). For the axially restrained slabs, the<br />

slab was put and erected in order to fit with the<br />

support ends of the steel frame to surround them<br />

and to provide an axial restraint. This is done in<br />

order to prevent the lateral displacements due to<br />

Fig. (3): Schematic view of test frame<br />

later they were marked and removed from the<br />

moulds and immersed in water for 28 days.<br />

Finally, the slab strips were taken out of the<br />

water tank and kept in the laboratory at room<br />

temperature before testing for 7 days. Before<br />

testing, all slab strips were painted white to show<br />

the pattern of cracks after testing.<br />

2-5 Details of the Test Frame<br />

A steel frame was fabricated especially for<br />

testing axially restrained slab strips. The test<br />

frame essentially consisted of three different<br />

parts. The first part consisted of two C-section<br />

channels with 700 mm length, 100 mm width<br />

and 10 mm thickness and contained two holes in<br />

each side in order to provide space for solid steel<br />

bars to enter. The second part consisted of two<br />

solid steel bars with 1700 mm length and 26 mm<br />

in diameter, one edge of the solid steel bars has a<br />

sprocket to provide connection with screws. The<br />

last part of the steel frame was two nuts of 25<br />

mm internal diameter to connect the two steel<br />

channels to provide end restraints. Figure (3)<br />

shows the schematic view of the test frame.<br />

the produced compressive membrane action<br />

during testing. Two rubber pads were placed<br />

under the two line loads in order to diminish the<br />

effect of local stress concentration. For the<br />

purpose of observing any possible lateral<br />

movement at the end of slabs strips, dial gage<br />

was erected at the center of end restraint<br />

channels. The position of dial gage is illustrated<br />

in Figure (5). The load was applied in<br />

increments of 0.6 kN/min and a careful search<br />

was made for initial cracks of the slab by the<br />

mean of hand microscope. The measurements<br />

for the outward lateral displacement was then<br />

848


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

taken from the dial gage readings and loading<br />

continued until failure of slabs. All cubes were<br />

tested by the 3000 kN capacity machine at a rate<br />

of loading equal to 0.6 N/mm 2 /sec. The load<br />

increment and corresponding deflection were<br />

taken from the measurements of the device<br />

841<br />

which had a plotter to draw the load-deflection<br />

curve automatically [Figure (4)]. Figure (6)<br />

illustrate the general view of the slab strip inside<br />

the testing frame after testing.<br />

Fig. (4): Machine used for testing slab strips and concrete cubes<br />

Top view channels Side view channels<br />

Fig. (5): Dial gage position erected at the center of end restraint channels


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

3- RESULTS AND DISCUSSION<br />

Observation of load-deflection relationship<br />

obtained from test results indicates that the<br />

response is linear up to first cracking load. In the<br />

later stages of loading, the slope of load-central<br />

deflection curves is decreased which may<br />

attribute to the decrease in the composite<br />

stiffness and continuing to decreases with the<br />

load increase. After the peak load, there is a<br />

descending part for the axially restrained slabs<br />

only.<br />

In order to study the important parameters<br />

affecting the behavior of axially restrained slab<br />

strips, it is better to classify the slab strips to the<br />

following groups: "Ferrocement Slabs (F)” is<br />

those slabs reinforced with wire mesh only.<br />

"Reinforced Ferrocement Slabs (RF) “refers to<br />

those slabs reinforced with steel reinforcement<br />

(skeletal steel) in addition to wire meshes, while<br />

"Reinforced Slabs (R)" are those slabs<br />

containing steel reinforcement only. Table (4)<br />

contains the test results of load and deflections<br />

for slab strips. Results of compressive strength<br />

of concrete cubes are also presented. N is the<br />

number of ferrocement wire meshes, Vf is the<br />

ratio of wire mesh in the section and ρs is the<br />

percentage of steel wire or deformed bar<br />

Fig. (6): General view of a slab strip after testing<br />

reinforcements. In the following paragraphs the<br />

effect of test parameters on the strength and<br />

deformation of slab strips are studied through the<br />

discussion of test results.<br />

843


144<br />

Slab Code<br />

S1-1<br />

S1-2<br />

S1-3<br />

S1-4<br />

S1-5<br />

S1-6<br />

S1-7<br />

S1-8<br />

S1-9<br />

S1-10<br />

S1-11<br />

S1-12<br />

S1-13<br />

S1-14<br />

S1-15<br />

S1-16<br />

S1-17<br />

S1-18<br />

S1-19<br />

S1-20<br />

S2-1<br />

S2-2<br />

S2-3<br />

S2-4<br />

S2-5<br />

S2-6<br />

Slab<br />

Type<br />

AR<br />

( F )<br />

(G1)<br />

AU<br />

(F)<br />

(G2)<br />

AR<br />

( F )<br />

(G3)<br />

AU<br />

(F)<br />

(G4)<br />

AR<br />

( R )<br />

(G5)<br />

f 'c<br />

(MPa) d<br />

26.8<br />

29.2<br />

24.8<br />

28.0<br />

24.4<br />

25.2<br />

29.2<br />

28.0<br />

32.4<br />

26.8<br />

26.8<br />

24.4<br />

28.0<br />

27.2<br />

32.4<br />

36.4<br />

27.6<br />

29.6<br />

30.4<br />

25.6<br />

27.2<br />

24.4<br />

30.8<br />

29.2<br />

25.6<br />

26.4<br />

Table (4): Properties of Strips and Test results of the load and mid-span defection for slab strips<br />

h<br />

(mm)<br />

25<br />

25<br />

37<br />

37<br />

50<br />

50<br />

25<br />

25<br />

50<br />

50<br />

25<br />

25<br />

37<br />

37<br />

50<br />

50<br />

25<br />

25<br />

50<br />

50<br />

25<br />

25<br />

37<br />

37<br />

50<br />

50<br />

Reinforcement<br />

N<br />

(Vf)<br />

3<br />

(0.271)<br />

4<br />

(0.241)<br />

5<br />

(0.226)<br />

3<br />

(0.271)<br />

5<br />

(0.226)<br />

6<br />

(0.543)<br />

8<br />

(0.482)<br />

10<br />

(0.452)<br />

6<br />

(0.543)<br />

10<br />

(0.452)<br />

-<br />

-<br />

-<br />

Ratio<br />

ρs<br />

-<br />

-<br />

-<br />

-<br />

-<br />

-<br />

-<br />

-<br />

-<br />

-<br />

0.98 a<br />

0.98<br />

0.98<br />

Act.<br />

-<br />

-<br />

1.3<br />

1.38<br />

2.98<br />

2.6<br />

0.45<br />

0.45<br />

2.78<br />

2.53<br />

1.46<br />

-<br />

-<br />

-<br />

3.65<br />

-<br />

0.2<br />

-<br />

3.5<br />

3.4<br />

0.6<br />

0.3<br />

2.37<br />

1.95<br />

4<br />

5.4<br />

Pcr<br />

(kN)<br />

Avg.<br />

-<br />

1.34<br />

2.79<br />

0.45<br />

2.7<br />

1.46<br />

-<br />

3.65<br />

0.2<br />

3.45<br />

0.45<br />

2.16<br />

4.77<br />

Act.<br />

-<br />

-<br />

1.2<br />

1.3<br />

3.2<br />

2.4<br />

9.4<br />

11<br />

6.3<br />

5.5<br />

4.2<br />

-<br />

-<br />

-<br />

4<br />

-<br />

3.5<br />

5<br />

6<br />

13.2<br />

5<br />

3.7<br />

4.7<br />

4.3<br />

8.9<br />

σcr<br />

(mm)<br />

Avg<br />

-<br />

1.25<br />

2.8<br />

10.2<br />

5.9<br />

4.2<br />

4<br />

3.5<br />

5.5<br />

9.1<br />

4.2<br />

6.6<br />

Act<br />

1.4<br />

1.4<br />

2.7<br />

2.9<br />

3.9<br />

4.1<br />

0.8<br />

0.75<br />

3.3<br />

3.4<br />

2.1<br />

1.75<br />

4.4<br />

4.6<br />

7.7<br />

7.9<br />

1.3<br />

1.4<br />

6.1<br />

6<br />

1.4<br />

1.5<br />

4.2<br />

3.9<br />

8.4<br />

8.8<br />

Pu<br />

(kN)<br />

Avg<br />

1.4<br />

2.8<br />

4<br />

0.78<br />

3.35<br />

1.93<br />

4.5<br />

7.8<br />

1.35<br />

6.05<br />

1.45<br />

4.05<br />

8.6<br />

Act.<br />

24<br />

24.5<br />

23<br />

23.4<br />

11.6<br />

14.7<br />

20<br />

19.3<br />

15<br />

16<br />

35.4<br />

37.8<br />

34.1<br />

40.1<br />

33.9<br />

34.6<br />

54.2<br />

50.2<br />

33.8<br />

35<br />

73.4<br />

69.9<br />

87.3<br />

89.8<br />

58.1<br />

60<br />

σp<br />

(mm)<br />

Avg<br />

24.3<br />

23.2<br />

13.2<br />

19.7<br />

15.5<br />

36.6<br />

37.1<br />

34.3<br />

52.3<br />

34.4<br />

71.7<br />

88.5<br />

59.1<br />

Act.<br />

25.4<br />

26.5<br />

24.1<br />

24.7<br />

13.5<br />

15.7<br />

20<br />

19.3<br />

15<br />

16<br />

37.4<br />

38.4<br />

34.4<br />

41.1<br />

36.4<br />

35.1<br />

54.2<br />

50.2<br />

33.8<br />

35<br />

73.9<br />

73.0<br />

90<br />

90<br />

76.1<br />

80<br />

σmax<br />

(mm)<br />

Avg<br />

26<br />

24.4<br />

14.6<br />

19.7<br />

15.5<br />

37.9<br />

37.8<br />

35.5<br />

52.3<br />

34.4<br />

73.5<br />

90<br />

78.1<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011


145<br />

S3-1<br />

S3-2<br />

S3-3<br />

S3-4<br />

S4-1<br />

S4-2<br />

S4-3<br />

S4-4<br />

S4-5<br />

S4-6<br />

AR<br />

(RF)<br />

(G6)<br />

AR<br />

( R )<br />

(G7)<br />

AR<br />

(R)<br />

(G8)<br />

30.4<br />

29.2<br />

27.2<br />

28.8<br />

25.2<br />

26.8<br />

26.0<br />

26.0<br />

26.0<br />

27.6<br />

25<br />

25<br />

37<br />

37<br />

25<br />

25<br />

37<br />

50<br />

37<br />

3<br />

(0.271)<br />

4<br />

(0.271)<br />

-<br />

-<br />

-<br />

-<br />

0.98<br />

0.98<br />

0.643 b<br />

0.643 c<br />

0.643 c<br />

0.643 c<br />

0.643 b<br />

h=slab thickness<br />

a= Ø2.48 mm smooth wire @ 2.5 cm c/c<br />

b= Ø 4.5 mm deformed bars @ 15 cm c/c<br />

c= Ø 4.5 mm deformed bars @ 15 cm c/c+ Ø 4.5 mm deformed bars @ 10 cm c/c<br />

d= f’c = fcu × 0.8<br />

AR= axially restrained<br />

AU= axially unrestrained<br />

50<br />

-<br />

2<br />

2.07<br />

2.17<br />

2.05<br />

0.75<br />

0.59<br />

1.54<br />

2.45<br />

3.36<br />

3.41<br />

2.03<br />

2.11<br />

0.67<br />

25<br />

22.5<br />

6.8<br />

2.9<br />

1.45<br />

-<br />

8<br />

2.5<br />

2.1<br />

1.0<br />

23.8<br />

4.85<br />

1.45<br />

2.4<br />

2.4<br />

6.4<br />

6.2<br />

2.2<br />

2.1<br />

5.3<br />

11.4<br />

8.8<br />

18.9<br />

2.4<br />

6.3<br />

2.15<br />

57<br />

59.7<br />

75.2<br />

70<br />

65.2<br />

63.3<br />

63.4<br />

61.1<br />

28.3<br />

27.0<br />

58.4<br />

72.6<br />

64.3<br />

57<br />

60<br />

81.3<br />

81.2<br />

66.6<br />

63.3<br />

67.3<br />

66.6<br />

35.0<br />

27.9<br />

58.5<br />

81.2<br />

67.9<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

3-1 Outward Lateral Movement<br />

For all slab strips having 25 mm and 37 mm<br />

thickness no reading of dial gage indicating the<br />

lateral outward movement was observed, for all<br />

loading history. It is mean that the lateral support<br />

is stiff enough. For slab strips of 50 mm<br />

thickness the maximum outward movement was<br />

0.15 mm. Such movement is too small and on<br />

neglecting, one can decide that there is a stiff<br />

surround and the slab has fully restrained edges<br />

and the phenomenon of membrane action is<br />

expected to occur.<br />

3.2 Effect of End Restraint on Cracking Load<br />

(Pcr)<br />

The measured load at which first crack occurs<br />

at bottom surface of the slab at mid-span for<br />

most of the slab strips is shown in Table (4). The<br />

effect of end restraints on cracking load can be<br />

known by making a comparison between group<br />

(1) slabs with group (2) and between group (3)<br />

with group (4) for ferrocement slabs of 25 mm<br />

Slab Symbol Cracking Load<br />

(Pcr)<br />

846<br />

and 50 mm thickness respectively. Table (5)<br />

shows the percentage of cracking load (Pcr),<br />

deflection at cracking load (δcr), ultimate load<br />

(Pu), deflection at ultimate or peak load (δp) and<br />

maximum deflection (δmax) for restrained to<br />

unrestrained ferrocement slab strips.<br />

The result of Pcr for slabs (S1-11 and S1-17)<br />

seems to be inaccurate and makes the ratio to be<br />

730 percent increase. This result is neglected and<br />

not used for discussing the effect of end restraint<br />

on Pcr. Therefore, as an average the ratio of<br />

cracking load for restrained to unrestrained slabs<br />

is 104.5 percent and the role of slab thickness<br />

here is not important. This small increase in<br />

cracking load is regarded to prevent outward<br />

movement of the slab strip at initial stage of<br />

loading. Such prevent made from supports does<br />

not rotate freely and as a result reduces the<br />

elastic curvature that leads to some increase in<br />

cracking load.<br />

Table (5): Percentage of restrained / unrestrained load and deflection results<br />

Mid-Span<br />

Deflection at<br />

Cracking Load<br />

(σcr)<br />

Ultimate Load<br />

(Pu)<br />

Mid-Span Deflection at<br />

Ultimate Load<br />

(σp)<br />

Maximum<br />

Deflection<br />

(σmax)<br />

Act. Avg. Act. Avg. Act. Avg. Act. Avg. Act. Avg.<br />

S1-1 & S1-7 - - - - 175 181 120 123 127 133<br />

S1-2 & S1-8 - - 187 127 139<br />

S1-5 & S1-9 107 105 51 47 118 119 77 85 90 94<br />

S1-6 & S1-10 103 44 121 92 98<br />

S1-11 & S1-17 730 730 120 120 162 144 65 70 69 72<br />

S1-12 & S1-18 - - 125 75 76<br />

S1-15 & S1-19 104 104 80 80 126 129 100 100 108 104<br />

S1-16 & S1-20 - - 132 99 100<br />

3.3 Effect of End Restraint on Deflection at<br />

Cracking Load (δcr)<br />

Table (4) shows the results of deflection<br />

corresponding to cracking load (δcr) for most of<br />

the tested slabs. Table (5) contains the ratio of<br />

restrained to unrestrained slab deflection at<br />

cracking load (δcr). The deflection (δcr) is<br />

reduced for slab S1-5, S1-6 and S1-15 and increased<br />

for S1-11 by 20 %. The later result can be<br />

considered inaccurate and on neglecting it, the<br />

ratio varies from 47 % to 80 %. As an average<br />

the existence of end restraints reduces the<br />

deflection at cracking load by 53 % for lightly<br />

reinforced slab with ferrocement wires and by 20<br />

% for ferrocement slabs moderately reinforced<br />

with wire meshes. On considering all results the<br />

deflection at cracking load is reduced by 18%<br />

due to end restraints.<br />

3.4 Effect of End Restraints on the Ultimate<br />

Load (Pu)<br />

When the geometrical deformation of<br />

ferrocement slab, namely deflection and rotation,<br />

are controlled within the allowable limits, the<br />

ultimate load carried by the slab is the important<br />

factor that indicates the usefulness of the slab in<br />

service. Table (4) contains the results of ultimate<br />

load for all tested slab strips. The possible<br />

effects of end restraints of ultimate load (Pu) are<br />

well illustrated in Table (5). For all slabs the<br />

ultimate load is higher for restrained slabs as<br />

compared with unrestrained ones. From a<br />

comparison between restrained and unrestrained<br />

slabs having the same properties, it is concluded<br />

that the effect of membrane action in<br />

ferrocement one-way slabs exists and causes an<br />

increase in load carrying capacity. The<br />

percentage of increase in ultimate load is 81 %<br />

for slabs which contain 3 layers of ferrocement<br />

mesh, while for those slabs reinforced with 6<br />

layers the percentage of increase is 44 % for<br />

slabs of 25 mm thickness. From the results<br />

shown in Table (5), one can find that the


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

percentage of increase for the 50 mm slabs is<br />

lower as compared with the 25 mm slabs. The<br />

percentage of increase is 19 % and 29 % for the<br />

slab strips reinforced with 5 layers and 10 layers,<br />

respectively. Therefore, the effect of membrane<br />

action on increasing the ultimate load is<br />

important, especially in lightly reinforced thin<br />

sections. So the behavior of ferrocement thin<br />

slabs is different as compared with conventional<br />

reinforced concrete slabs at which the effect of<br />

compressive membrane action exists only in<br />

lightly reinforced concrete sections. Such<br />

difference between the two cases can be argued<br />

due to controlling the large deflection and<br />

instability occurred in thin sections like<br />

ferrocement sections due to the existence of end<br />

restraints preventing the support to rotate freely.<br />

3.5 Effect of End Restraints on Deflection at<br />

Ultimate Load (δp) and Maximum Deflection<br />

(δmax)<br />

Table (4) shows results of deflection<br />

corresponding to ultimate load (δp) and<br />

maximum deflection (δmax) for the tested slabs.<br />

Table (3) contains the ratio of restrained to<br />

unrestrained slab deflection at ultimate load (δp)<br />

and maximum defection (δmax). The deflection<br />

(δp) is increased only for slab S1-1, S1-2 and has no<br />

effect for S1-15, S1-16 and there is a reduction in<br />

(δp) for other slabs occurred due to end<br />

restraints. The ratio varies from 70 % to 85 %<br />

or the deflection (δp) is decreased for S1-5, S1-6<br />

and S1-11, S1-12 by 15 % and 30 % respectively.<br />

The deflection (δp) is increased for slab S1-1, S1-2<br />

and S1-15, S1-16, and such results can be<br />

considered inaccurate, and as conclusion there is<br />

a reduction in (δp) of about 15 % to 30 % for<br />

axially restrained slabs compared with<br />

unrestrained slabs.<br />

Figures (7) and (8) show the load-deflection<br />

relationships for those slabs identical in<br />

properties except the end condition. The effect<br />

of end restraint or membrane action is obvious<br />

via increasing the ultimate load and changing the<br />

shape of the load-deflection relationship.<br />

In axially restrained slab strips, the deflection<br />

at all stages of cracking was found to be lower<br />

than that of axially unrestrained slab strips,<br />

while the corresponding load was higher. From<br />

Figures (6) and (7) one can observe that the<br />

increase in ultimate load is accompanied with no<br />

reduction in ductility which is considered a<br />

shortcoming in structural performance if<br />

occurred. Even in very thin ferrocement slabs<br />

lightly reinforced (i.e. slabs S1-1 and S1-2) there<br />

is an increase in ductility beside the increase<br />

in ultimate load indicating the positive effect<br />

of compressive membrane action in such<br />

slabs due to end restraints.<br />

Fig. (7): Load-deflection relationship of axially restrained and axially unrestrained<br />

ferrocement slabs [Group (1)&(2)]<br />

847


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

Fig. (8): Load-deflection relationship of axially restrained and axially unrestrained ferrocement slabs [Group (3&4)]<br />

3-6 Effect of Wire Mesh<br />

The effect of wire mesh layer on the loaddeflection<br />

response can be known from a<br />

comparison between relationships shown in<br />

Figure (9). It is observed that the ductility<br />

increased considerably when the wire mesh ratio<br />

increases twice times. In order to illustrate the<br />

role of slab thickness and reinforcement ratio on<br />

ultimate load Figure (10) was drawn. It is shown<br />

848<br />

that with increasing the ratio of wire meshes, the<br />

effect of slab thickness in axially unrestrained<br />

slabs on ultimate load is low (the ratio increases<br />

from 173% to 181%). For axially restrained<br />

slabs there is a steady increase in ultimate load<br />

with increasing slab thickness. This indicates the<br />

important role of slab thickness on ultimate load<br />

when the ratio of wire mesh increases.<br />

Fig. (9): Load-deflection relationship of axially restrained slabs for Group (1) & (3)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

Fig.(10) Variation of Ultimate load of ferrocement slab strips when the ratio of wire meshes<br />

increased (twice times)<br />

3-7 Effect of Reinforcement Type<br />

Figure (11) shows the load-deflection<br />

relationship for Group (5) slabs. For this group<br />

instead of wire mesh layers a constant ratio of<br />

smooth steel bar (0.98%) was used as<br />

reinforcement and therefore the unique variable<br />

is the slab thickness. In general, the load-central<br />

deflection curves are linear up to first cracking<br />

load. In the cracked stage, the slope of the loadcentral<br />

deflection curve was small for slab strips<br />

having 25 mm thickness compared with 37 mm<br />

or 50 mm thickness. The stiffness is reduced<br />

slowly and gradually with the deflection increase<br />

and the response is somewhat a smooth curve<br />

in which the cracking stages can not be<br />

defined well. For other slab strips different<br />

cracking stages can be easily observed and each<br />

stage has a different flexural stiffness. It is<br />

clearly shown that the plastic stage (last stage)<br />

for all slabs initiates nearly at the same<br />

deflection value, or the slab thickness does not<br />

affect the deflection at which the plastic stage<br />

commences. Making a comparison with Figure<br />

(9) which illustrates the load-deflection relation<br />

of ferrocement slabs, one can observe that there<br />

is a similarity in ductility between the two<br />

groups in which the ductility is independent on<br />

slab thickness. Figure (12) shows the loaddeflection<br />

relationship of reinforced concrete<br />

slabs [Group (5)] in addition to ferrocement<br />

slabs [Group (3)], all axially restrained.<br />

Although the reinforcement ratio for Group ( 3 )<br />

slabs is about one half of that provided for<br />

reinforced concrete slabs [ Group( 5 )] nearly<br />

the same ultimate load (or even higher ) can be<br />

obtained, indicating the superiority of<br />

25<br />

25<br />

37<br />

50<br />

50<br />

ferrocement slabs over reinforced thin slabs. For<br />

obtaining a better comparison between<br />

reinforced and ferrocement slab strips Figure<br />

(13) was drawn which illustrates the percentage<br />

of ultimate load for ferrocement strips to that of<br />

reinforced slab strips. It is shown that the ratio is<br />

higher than 100% for 25 mm and 37 mm<br />

thickness slabs. Therefore, for ferrocement slabs<br />

of 25 mm and 37 mm thicknesses ( or thin slab<br />

strips ) if the ductility is not considered as an<br />

effective parameter governing the design of thin<br />

slabs, it is better from economical view point to<br />

use ferrocement slabs instead of reinforced<br />

concrete slabs having ends axially restrained<br />

against lateral movement. In Group (6) the slabs<br />

were reinforced by both skeletal steel<br />

reinforcement and ferrocement mesh wires.<br />

Figure (14) shows the load-central deflection of<br />

reinforced slab strips in addition to those<br />

reinforced with both reinforcement and wire<br />

meshes. The effect of wire mesh layers addition<br />

to the slab section containing steel reinforcement<br />

is important to increase the ultimate load but<br />

reduces the ductility slightly. Therefore the<br />

existence of skeletal steel reinforcement is<br />

important to restore the lost ductility occurred<br />

due to providing wire mesh to the slab section.<br />

Figure (15) illustrates the percentage of<br />

ultimate load for reinforced ferrocement slabs<br />

[Group (6)] to that of ferrocement slabs [Group<br />

(3)] and reinforced slabs [Group (5)]. It is shown<br />

that if the reinforcement ratio increased from<br />

0.98% to 1.21% due to the addition of wire mesh<br />

layers the percentage increase in ultimate load is<br />

66%, while due to addition of skeletal steel<br />

(reinforcement ratio changed from 0.54% to<br />

849


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

1.21%) the percentage increase in ultimate load<br />

is only 24%. Such comparison indicates the<br />

important role of wire mesh addition to<br />

reinforced concrete slab strips having restrained<br />

ends on the load carrying capacity.<br />

Figure (16) shows the load-deflection<br />

relationship for reinforced slabs [Group (7)] and<br />

reinforced slabs [Group (5)]. The difference<br />

between the two groups is that in group (7) slabs<br />

deformed bars of 4.5 mm diameter were used as<br />

reinforcement while in the other group 2.48 mm<br />

diameter smooth bars was used. It is concluded<br />

that the strength performance of strips reinforced<br />

851<br />

with deformed bars is better than that of slabs<br />

reinforced with smooth bars. This result can be<br />

attributed to the effect of good bond between the<br />

mortar and deformed bar. Figure (17) shows the<br />

results of load-deflection of reinforced slabs of<br />

Group (7) and ferrocement slabs Group (3). The<br />

ductility for reinforced slabs is always higher<br />

than that of ferrocement slabs regardless of slab<br />

thickness. The ultimate load of reinforced slabs<br />

is higher only for slabs of higher thickness, but it<br />

is not changed considerably for thin slabs of 25<br />

mm and 37 mm thickness.<br />

Fig. (11): Load-deflection relationship of axially restrained reinforced concrete slabs for Group (5)<br />

Fig. (12): Load-deflection relationship of slab strips [Group (3) and Group (5)]


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

25<br />

37<br />

Fig. (13): Percentage of ultimate load for axially restrained ferrocement slab strips<br />

[Group (3)] to that of axially restrained reinforced slab [Group (5)]<br />

Fig. (14): Load-deflection relationship of reinforced ferrocement slabs Group (6)<br />

and reinforced concrete slabs Group (5)<br />

50<br />

858


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

851<br />

25<br />

25<br />

37<br />

Fig. (15): Percentage of ultimate load for group (6) to group (3) and group (6) to group (5) slabs<br />

Fig. (16): Load-deflection relationship of axially restrained slabs for Group (5) and Group (7)<br />

Fig. (17): Load-deflection relationship of reinforced slab Group (7) and ferrocement slab Group (3)<br />

37


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

3-8 Effect of Span Length<br />

Figure (18) shows the results of loaddeflection<br />

relationship for reinforced slabs of<br />

Group (7) and Group (8). The main variable here<br />

is the span length (or span / depth ratio). Based<br />

on test results shown in Table (2), decreasing the<br />

span length from 1450 mm to 1000 mm tends to<br />

increase the cracking loads by 118.2 % and<br />

39.2 % and ultimate loads by 66 %<br />

and 65.8 % for 37 mm and 50 mm slab<br />

thickness, respectively. It is also observed that<br />

decreasing the span length from 1450 mm to<br />

1000 mm tends to decrease the deflection at<br />

cracking load by 73.75 % and 60% for 37 mm<br />

and 50 mm slab thickness respectively.<br />

Fig. (18): Load-deflection relationship of reinforced slabs [Group (7) and Group (8)]<br />

3-9 Cracking Pattern<br />

It is observed from the test results that the<br />

ferrocement and reinforced this slabs undergo<br />

large deflections before failure and both types of<br />

membrane action (compressive and tensile) are<br />

expected to develop due to their thin crosssections.<br />

Figures (19) show the pattern of cracks<br />

for some of the tested slabs. It is obvious that<br />

increasing number of wire mesh layers increases<br />

the number of cracks and reduces their spacing.<br />

It means that wire mesh layers have an effective<br />

role in distributing of the stresses within the<br />

crack tips. By increasing thickness of the slab<br />

strips of axially restrained slab strips, the<br />

cracked area in the tension face is increased, and<br />

in general such area is higher as compared with<br />

unrestrained slabs. The number of extension<br />

cracks is higher for axially restrained slabs<br />

compared with unrestrained ferrocement slabs.<br />

In comparison with the ferrocement slabs, the<br />

number of cracks is reduced for reinforced<br />

concrete slabs, especially when the diameter of<br />

bars is increased and the span length is reduced.<br />

In this type of slabs when the first crack occurs<br />

in the central part of slab, the load then carried<br />

by the steel reinforced bars and due to<br />

concentration of stress the slab undergoes large<br />

plastic rotation. But in ferrocement slabs due to<br />

large flexibility the crack extends and covers<br />

higher area in tension face due to distribution of<br />

stresses.<br />

853


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

854<br />

4- CONCLUSSIONS<br />

From the experimental test results presented<br />

in this study, the following conclusions may be<br />

drawn:<br />

1. The existence of axial restraint at supports<br />

responsible for preventing outward movement,<br />

affects the overall properties of ferrocement and<br />

thin reinforced slabs, like cracking load, ultimate<br />

load, the corresponding deflections as well as the<br />

load-deflection response.<br />

2. The average percentage increase in cracking<br />

load was 4.5% and reduction in deflection at<br />

cracking load was 18%, while the ultimate load<br />

increased by 81% and 44% for 25 mm thickness<br />

ferrocement slabs reinforced with 3 and 6 layers<br />

of wire mesh, respectively. The percentage of<br />

increase was found to be 19% and 29% for 50<br />

mm thickness slab. The average reduction in<br />

deflection corresponding to ultimate load was<br />

found to vary from 15% t0 30%.<br />

3. The increase in ultimate load occurs due to<br />

axial restraints can be obtained without<br />

scarifying the ductility of the slab strip.<br />

4. Nearly the same ultimate load of axially<br />

restrained ferrocement slabs can be obtained by<br />

providing reinforcement of about one half of that<br />

provided to slabs reinforced with steel wires or<br />

Fig. (19): Cracking pattern for some of tested slab strips<br />

bars, but the ductility is reduced to about one<br />

half. If the ductility is not considered an<br />

effective parameter governing the design of thin<br />

slabs of axially restrained ends, it is suggested to<br />

use ferrocement slabs instead of thin slabs<br />

reinforced with single grid of reinforcement<br />

provided to tension zone .<br />

5. Ductility of ferrocement slabs, reinforced<br />

slabs and reinforced ferrocement slabs was<br />

found not to be affected by the existence of end<br />

restraint and slab thickness but considerably<br />

changed with the variation of wire mesh layers,<br />

amount of steel reinforcement, and type of<br />

skeletal steel reinforcement. The performance of<br />

deformed bar grid was found to be better than<br />

that of smooth wire reinforcement.<br />

6. It is observed from the test results that the<br />

axially restrained ferrocement elements undergo<br />

large deflections before failure due to their thin<br />

cross-section.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 138-155, 2011<br />

5- REFERENCES<br />

- ACI Committee 549R-01(2001). State of the Art<br />

Reports on Ferrocement. Manual of Concrete<br />

Practice, Part 5.<br />

- Rao, A.K. and Gowdar, C.S.K. (1971). A Study of the<br />

Behavior of Ferrocement in Flexure. Indian<br />

Concrete Journal, 45(4), 178-183.<br />

- Balaguru, P.N., Naaman, A.E., and Shah, S.P. (1977).<br />

Analysis and Behavior of Ferrocement in Flexure.<br />

Journal of the Structural Division, ASCE,<br />

103(ST10), 1937-1951.<br />

- Ocklestone (1958). Arching Action in Reinforced<br />

Concrete Slabs. The Structural Engineer, 36, 197-<br />

201.<br />

- Taylor, S. E. and Mullin, B. (2006). Arching Action in<br />

FRP Reinforced Concrete Slabs. Construction and<br />

Building Materials, 71-80.<br />

- ASTM-C33 (2003). American Society for Testing<br />

and Materials.<br />

ىناضينهب و ىتهسمويرف ىضينهب ةل ىاكةواركناروط لةط ةل ىاكش ىهترطار ىةشاريد اداتصَيئ ىةوةهَيلَوكَيل مةل<br />

.<br />

( One-way )<br />

وةِراِر كةي ىتهسمَويرف ىضينهب<br />

36<br />

ةتخوث<br />

رةش ةل ادروبلا لىوش ةل تيبةي وترطاِر ىياتَوكةك كنةت ىرادشيش<br />

ىنووب اوةك توةكرةد وتوةكتشةد ىمانجةئةل . ةواركتشورد وترطاِر ىياتَوك وب تةبيات ىكةلةكيةي شةتشةبةم وةئ َوب<br />

اتَوك,<br />

ىدربزرد ىياشروق ىهيِرَوط ىضئاضخ رةش ةل واركنور ىكةيةوَيش ةب<br />

ىاكةي ىياتَوك ىيرطاِر ىنووب<br />

. ويزةباد<br />

–<br />

(End restraint)<br />

ىياشروق ىدنةويةث و ىدربزرد<br />

ىهيزةباد و<br />

ىاكةي ىياتَوك ىيرطاِر<br />

(Ultimate Load)<br />

اتَوك ىيةدرةث ىراكَوي ىنوبةي ةب مَلاةب مةك ىِربةب ىدربزرد ىياشروق ىنووبدايز ىَوي ةتَيبةد<br />

. تيبةي مةك ىزرةب<br />

ىناضينهب ةل وبرتايز ةدايز مةئ و واركنور ىكةيةوَيش ةب تيبةد دايز<br />

(Ultimate Load)<br />

ىياشروق<br />

(End restraint)<br />

ىياشروق<br />

ةك توةكرةد . ىدربزرد ىهيزةباد ىدربزرد ىهيزةباد ىةوةنووب مةك ىبةب تَيوةكةد تشةد ىياشروقاتؤك ىنوبدايز<br />

وبرت شاب ىتهسمؤيرف ىضينهب ىفرةصةت . ىاكةضينهب ىناكةروج ومةي ةل ةطنرط ةن ويزةباد ى رةشةل ةضينهب ىناث لىور<br />

. وين وب ةووب مةك ويزوباد ملاةب ىهشائ ىشيش ةب ىاكةوارك سَيي ةب ةضينهب<br />

دروارةب ىياشروق اتَوك ىنوبدايز ةل<br />

ةديقملا ةقيقرلا ةحلسملا تاطلابلاو تنمسوريفلا تاطلابل تاىوشتلا و ءانثنلاا ةمواقم ةسارد مت يلاحلا ثحبلا يف<br />

عنم فدهب صاخ يديدح لكيى عينصت مت<br />

. ) ةحيرش(<br />

دحاو هاجتاب فقس<br />

63<br />

ةصلاخلا<br />

ىلع يربتخم لمع للاخ نم بناوجلا<br />

ببسملا لمحلا صئاصخ ظوحلم لكشب ريغي بناوجلا دييقت دوجو نأب دكءوت ةلصاحلا جئاتنلا . ةطلابلل ةيبناجلا ةكرحلا<br />

دادزا بناوجلا دييقت دوجو ببسب<br />

. دولاا-لمحلا<br />

ةقلاع ىلا ةفاضلااب<br />

ول بحاصملا دولااو ىصقلاا لمحلا<br />

,<br />

ققشتلل<br />

ناك ةدايزلاو ظوحلم لكشب ىصقلاا لمحلا دادزا يئاشغلا لعفلا دوجو ببسب نكل ةليلق ةبسنب ققشتلل ببسملا لمحلا<br />

كمس رود نأب دجو . ةنودللا يف ناصقن نودب ويلع لوصحلا<br />

نكمي لمحلا يف ةدايزلا<br />

. ليلق كمس تاذ فقسلل ربكا<br />

ةنراقم لمحلا ةدايزل نسحا لكشب تفرصت ةيتنمسوريفلا<br />

تاطلابلا نا . تاطلابلا عاونا لكل مهم ريغ ةنودللا<br />

ىلع ةطلابلا<br />

.<br />

ةميقلا فصن ىلا تضفخنا ةنودللا<br />

نكل<br />

ةحلسملا تاطلابلاب<br />

855


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 156-159, 2011<br />

651<br />

SOME NEW SEPARATION AXIOMS<br />

ZANYAR A. AMEEN AND RAMADHAN A. MUHAMMED<br />

Dept. of Mathematics, Faculty of Science, University of Duhok, Kurdistan-region-Iraq<br />

(Received: September 6, 2010; Accepted for publication: June 4, 2011)<br />

ABSTRACT<br />

In this paper sc-open sets [6] are used to define some new separation axioms and study some of their basic properties.<br />

The implications of these axioms among themselves, some strong types of separation axioms and semi-separation axioms are<br />

investigated.<br />

KEYWORDS: strongly semi-Ti, sc-Ti and semi-Ti spaces for i = 0, 1, 2<br />

I<br />

1. INTRODUCTION<br />

n 1963, Levine [7] introduced and<br />

investigated the notions of semi-open sets<br />

and semi-continuity in topological spaces. Since<br />

then many separation axioms and mappings have<br />

been studied using semi-open sets. In [8], some<br />

new separation axioms, namely, semi-T0, semi–<br />

T1 and semi-T2 are introduced and studied.<br />

Khalaf [5] introduced and investigated then<br />

notion of strongly semi-separation axioms. The<br />

purpose of this paper is to introduce and<br />

investigate some more separation axioms called<br />

sc-Ti spaces for i = 0, 1, 2. These spaces lie<br />

strictly between strongly semi-Ti and semi-Ti.<br />

2. PRELIMINARIES<br />

Throughout the present paper spaces X, Y<br />

etc., will denote topological spaces. The closure<br />

and interior of A � X are denoted by Cl(A) and<br />

Int(A) respectively. A subset A of a space X is<br />

said to be semi-open [7] (resp., preopen [9] and<br />

regular open [11]) if A � Cl(Int(A)) (resp., A �<br />

Int(Cl(A)) and A = Int(Cl(A))). The complement<br />

of a semi-open (resp., preopen and regular open)<br />

set is said to be semi-closed [3] (resp., preclosed<br />

[9] and regular closed [11]). Joseph and Kwack<br />

[4], introduced that a subset A of a space X is<br />

said to be θ-semi-open if for each x � A, there<br />

exists a semi-open set G such that x � G �<br />

Cl(G) � A. A peropen (resp. semi-open) subset<br />

A of a space X is said to be pc-open [2] (resp.<br />

sc-open [6]) if for each x � A, there exists a<br />

closed set F such that x � F � A. The family of<br />

all pc-open (resp. sc-open, semi-open and<br />

clopen) subsets of a space X is denoted by<br />

PCO(X) (resp. SCO(X), SO(X) and CO(X)). It is<br />

proven that the family of pc-open (resp. sc-open)<br />

sets forms a supra topology. A subset N of X is<br />

said to be sc-neighborhood of x, if there exists<br />

an sc-open set U in X such that x � U � N. A<br />

point x � X is said to be in the sc-closure [6] of<br />

A if for each sc-pen set U containing x, U � A ≠<br />

�. A subset<br />

A of X is said to be sc-closed if A = sc-Cl(A).<br />

It worth mentioning that the class of sc-open sets<br />

lies between the class of θ-semi-open sets and<br />

the class of semi-open sets.<br />

Definition 2.1. A topological space X is semi-<br />

T0-space [8] (resp., strongly semi-T0-space [5])<br />

if to each pair of distinct points x, y of X, there<br />

exists a semi-open (resp., �-semi-open) set<br />

containing one but not the other.<br />

Definition 2.2. A topological space X is semi-<br />

T1-space [8] (resp., strongly semi-T1-space [5])<br />

if to each pair of distinct points x, y of X, there<br />

exists a pair of semi-open (resp., �-semi-open)<br />

sets, one containing x but not y, and the other<br />

containing y but not x.<br />

Definition 2.3. A topological space X is semi-<br />

T2-space [8] (resp., strongly semi-T2-space [5])<br />

if to each pair of distinct points x, y of X, there<br />

exists a pair of disjoint semi-open (resp., �-semiopen)<br />

sets, one containing x and the other<br />

containing y.<br />

Definition 2.4. A space X is said to be<br />

Alexandroff [1], if arbitrary intersections of the<br />

family of open sets are open, equivalently, any<br />

union of closed sets is closed.<br />

Lemma 2.5 [6] Let (X, �) be a space. Then<br />

SCO(X, �) = SCO(X, �α ).<br />

Lemma 2.6. Let (X, �) be a topological space.<br />

(1) If A � CO(X) and B � SCO(X), then A �<br />

B � SCO(A) [6].<br />

(2) If A � PCO(X) and B � SCO(X), then A<br />

� B � SCO(A)[2].<br />

Lemma 2.7. [6] If a space X is T1-space, then<br />

the families SO(X) and SCO(X) are equal.<br />

Lemma 2.8. [6] If a topological space (X, τ) is<br />

Alenxandroff, then θSO(X) = SCO(X).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 156-159, 2011<br />

Lemma 2.9. [6] Let X and Y be two topological<br />

spaces and X × Y be the product topology. Let A<br />

� SCO(X) and B � SCO(Y). Then A × B �<br />

SCO(X × Y).<br />

3. SC-T0-SPACES<br />

Definition 3.1. A topological space X is sc-T0space<br />

if to each pair of distinct points x, y of X,<br />

there exists an sc-open set containing one of<br />

them but not the other.<br />

It is evident that strongly semi-T0-space implies<br />

sc-T0-space, and sc-T0-space implies semi-T0space.<br />

But the converses may not be true as<br />

shown in the following examples:<br />

Example 3.2. Clearly an infinite set X with the<br />

cofinite topology is sc-T0 but not strongly semi-<br />

T0, because the only non-empty regular closed<br />

subset of X is X itself.<br />

Example 3.3. Let X = {a, b, c}, and � = {�, {a},<br />

X} be a topology on X. Then X is<br />

semi-T0 but not sc-T0.<br />

Theorem 3.4. A topological space X is sc-T0space<br />

if and only if sc-Cl{x} � sc-Cl{y} for<br />

every pair of distinct points x, y of X.<br />

Proof. Let X be an sc-T0-space and x, y be any<br />

two distinct points of X. There exists an sc-open<br />

U containing x or y, say, x but not y. Then X-U<br />

is an sc-closed set which does not contain x but<br />

contains y. Since sc-Cl{y} is the smallest scclosed<br />

set containing y, sc-Cl{y}� X-U, and so<br />

x � sc-Cl{y}. Consequently sc-Cl{x}<br />

� sc-Cl{y}.<br />

Conversely, suppose for any x, y � X with x � y<br />

, sc-Cl{x} � sc-Cl{y}. Now, let z � X such that<br />

z � sc-Cl{x}but z � sc-Cl{y}. Now, we claim<br />

that x � sc-Cl{y}. For if x � sc-Cl{y}, then<br />

{x}� sc-Cl{y} which implies that sc-Cl{x} �<br />

sc-Cl{y}. This is contradiction to the fact that z<br />

� sc-Cl{y}. Consequently x belongs to the scopen<br />

set X- sc-Cl{y} to which y does not<br />

belong. It gives that X is sc-T0-space.<br />

Theorem 3.5. Every clopen (pc-open) subspace<br />

of an sc-T0-space is sc-T0-space.<br />

Proof. Let Y be a clopen (pc-open) subspace of<br />

an sc-T0-space X and x, y be two distinct points<br />

of Y. Then there exists an sc-open set U<br />

containing x or y, say, x but not y. Now by<br />

Lemma 2.6, U � Y is an sc-open set in Y<br />

containing x but not y. Hence Y is sc-T0-space.<br />

Definition 3.6. A function f: X�Y is said to be<br />

a point-sc-closure 1-1 if x, y � X such that sc-<br />

Cl{x} � sc-Cl{y}, then sc-Cl{f(x)} � sc-<br />

Cl{f(y)}.<br />

Theorem 3.7. If f : X � Y is a point-sc-closure<br />

1-1 function and X is sc-T0-space,<br />

then f is 1-1.<br />

Proof. Let x, y �X with x � y. Since X is sc-T0space,<br />

then by Theorem 3.4, sc-Cl{x} � sc-<br />

Cl{y}. But f is point-sc-closure 1-1 implies that<br />

sc-Cl{f(x)} � sc-Cl{f(y)}. Hence f(x) � f(y).<br />

Thus, f is 1-1.<br />

Theorem 3.8. If a topological space X is sc-T0,<br />

then it is T0.<br />

Proof. Let X be an sc-T0-space and x, y be any<br />

two distinct points of X. There exists an sc-open<br />

U containing x or y, say, x but not y. Then there<br />

exists a closed set F such that x � F � U, so X-F<br />

is an open set containing y, and it is obvious that<br />

x � X-F. Therefore, X is T0-space.<br />

4. SC-T1- SPACES<br />

Definition 4.1. A topological space X is sc-T1 if<br />

to each pair of distinct points x, y of X, there<br />

exists a pair of sc-open sets, one containing x but<br />

not y, and the other containing y but not x.<br />

Remark 4.2. Obviously, every strongly semi-T1space<br />

is sc-T1, but the converse is not always<br />

true, as in Example 3.2, the space X is sc-T1 but<br />

not strongly semi-T1.<br />

Remark 4.3. Every sc-T1-space is semi-T1, but<br />

the following example shows that the converse is<br />

not always true.<br />

Example 4.4. Let X = {a, b, c}, and � = {�, {a},<br />

{b}, {a, b}, X} be a topology on X. Then X is<br />

semi-T1 but not sc-T1.<br />

Remark 4.5. Every sc-T1-space is sc-T0, but the<br />

converse is not always true as shown in the<br />

following example.<br />

Example 4.6. Let X = {a, b, c}, and � = {�, {a},<br />

{b}, {a, b}, {b, c}, X} be a topology on X. Then<br />

X is sc-T0 but not sc-T1.<br />

Theorem 4.7. For a topological space X, each of<br />

the following statement are equivalent:<br />

(1) X is sc- T1.<br />

(2) Each singleton set {x} is sc-closed.<br />

(3) Each subset of X is the intersection of all<br />

sc-open sets containing it.<br />

(4) The intersection of all sc-open sets<br />

containing the point x � X is the set {x}.<br />

Proof. (1) � (2) Suppose (1). Let x � X. Then<br />

for any y � X, x � y, there exists an sc-open sets<br />

U containing y but not x. Hence y � U � {x} c .<br />

This implies that {x} c = �{U: y � {x} c }. So<br />

{x} c being a union of sc-open sets. Hence {x} is<br />

sc-closed.<br />

651


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 156-159, 2011<br />

(2) � (1) Suppose (2). Let x, y � X and x � y.<br />

Then {x} and {y} are sc-closed sets. Hence {x} c<br />

is an sc-open set containing y but not x and {y} c<br />

is an sc-open set containing x but not y.<br />

Therefore X is sc-T1.<br />

(2) � (3) Suppose (2). If A � X, then for each<br />

point y � A, there exists a set {y} c such that A �<br />

{y} c and each of these sets is sc-open. Hence A<br />

= �{{y} c : y � A c } so that the intersection of all<br />

sc-open sets containing A is the sets A itself.<br />

(3) � (4) Obvious.<br />

(4) � (1) Suppose (4). Let x, y � X and x � y.<br />

Hence there exists an sc-open set Ux such that x<br />

� Ux and y � Ux. Similarly, there exists an scopen<br />

set Uy such that y � Uy and x � Uy. Hence<br />

X is sc- T1.<br />

Theorem 4.8. Every clopen (pc-open) subspace<br />

of an sc-T1-space is sc-T1-space.<br />

Proof. Let A be a clopen (pc-open) subspace of<br />

an sc-T1-space X. Let x � A. Since A is sc-T1,<br />

X-{x} is sc-open in X. Now, A being clopen (pcopen),<br />

A � (X-{x}) = A-{x} is sc-open in A, by<br />

lemma 2.6. Consequently, {x} is sc-closed in A.<br />

Hence by Theorem 4.3, A is sc-T1-space.<br />

651<br />

5. SC-T2- SPACES<br />

Definition 5.1. topological space X is sc-T2 if<br />

to each pair of distinct points x, y of X, there<br />

exists a pair of disjoint sc-open sets, one<br />

containing x and the other containing y.<br />

Remark 5.2. Since every �-semi-open set is scopen,<br />

then every strongly semi-T2-space is sc-T2,<br />

but the converse is not always true as shown in<br />

the following example.<br />

Example 5.3 Consider the prime integer<br />

topology [see 10, page 83]. Then the space is<br />

both T1and semi-T2 and consequently it is sc-T2<br />

but not strongly semi-T2, since the open set<br />

containing the prime number p = 2 is dense.<br />

Remark 5.4. Every sc-T2-space is semi-T2, but<br />

the following example shows that the converse is<br />

not always true.<br />

Example 5.5. Consider the space X given in<br />

Example 4.4. Then X is semi-T1 but not sc-T1.<br />

Remark 5.6. Every sc-T2-space is sc-T1, but the<br />

converse need not be true in general, as in<br />

Example 3.2, the space X is sc-T1 but not sc-T2<br />

Theorem 5.7. For a topological space X, the<br />

following statements are equivalent:<br />

(1) X is sc-T2.<br />

(2) If x � X, then there exists an scneighborhood<br />

N(x) of x such that<br />

y � sc-Cl(N(x)).<br />

(3) For each x � X, �{sc-Cl(N) : N is an scneighborhood<br />

of x} = {x}.<br />

Proof. (1) � (2) Suppose (1). Let x � X. Then<br />

there exist disjoint sc-open sets U and V such<br />

that x � U, x � V. Then x � U � X-V, so that<br />

X-V is an sc-neighborhood of x. We write N(x)<br />

= X-V. Then N(x) is sc-closed and y � sc-<br />

Cl(N(x)). Hence y � sc-Cl(N(x)).<br />

(2) � (3) Straight forward.<br />

(3) � (1) Suppose (3). Let x, y � X and x � y.<br />

Then by hypothesis there exists an sc-closed scneighborhood<br />

N of x such that y � N. Now there<br />

is an sc-open set U such that x � U � N. Thus U<br />

and X-N are disjoint sc-open sets containing x<br />

and y respectively. Hence<br />

X is sc-T2.<br />

Theorem 5.8. Every clopen (pc-open) subspace<br />

of an sc-T2-space is sc-T2-space.<br />

Proof: It is analogous to Theorem 3.5.<br />

Theorem 5.9. A space is sc-T2 if and only if (X,<br />

��) is sc-T2.<br />

Proof. Let x, y � X with x � y . Since X is sc-T2,<br />

there exist disjoint sc-open sets U and V in X<br />

such that x � U and y � V. Then by Lemma 2.5,<br />

U, V � SCO(X,��). Thus, (X,��) is sc-T2.<br />

Converse follows similarly since<br />

SCO(X,�) = SCO(X,��).<br />

Theorem 5.10. Let X be a T1-space. Then X is<br />

sc-Ti if and only it is semi-Ti for i = 0,1,2.<br />

Proof. Directly follows from Lemma 2.7.<br />

Corollary 5.11. Let X be an Alexandroff space.<br />

Then X is strongly semi-Ti if and only it is<br />

sc-Ti for i = 0,1,2.<br />

Proof. Follows from Lemma 2.8.<br />

Theorem 5.12. The product of two sc-T2<br />

spaces is sc-T2.<br />

Proof. Let X, Y be semi-T2 spaces and let x, y �<br />

X � Y with x ≠ y. Let x = (a, b) and y = (c, d).<br />

Without any loss of generality suppose that a ≠ c<br />

and b ≠ d. Since a and c are distinct points of X,<br />

there exist disjoint sc-open sets U and V of X<br />

such that a � U and c � V. Similarly let G and H<br />

are disjoint sc-open sets in Y such that b � G<br />

and b � H. Then by Lemma 2.9, U � G and V �<br />

H are sc-open sets X � Y containing<br />

x and y respectively.<br />

Also,<br />

(U � G) � (V � H) = (U � V) � (G � H) = �.<br />

Hence X � Y is sc-T2.<br />

The following diagram indicates the<br />

implications between the separation axioms that<br />

we have come across in this paper and examples


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 156-159, 2011<br />

show that no other implications hold between<br />

them.<br />

strongly semi-T2 sc-T2 semi-T2<br />

strongly semi-T2 sc-T2 semi-T2<br />

strongly semi-T2 sc-T2 semi-T2<br />

Diagram (1)<br />

REFERENCE<br />

- P. Alexandroff, Diskrete Räume, Rec.[math Sbornik]<br />

(1937) (501-518).<br />

- Z. A. Ameen, pc-open sets and pc-continuity in<br />

topological spaces, Journal of Advanced Research<br />

in Pure Mathematics, Vol. 3(1) (2011) 123 - 134.<br />

- S. G. Crossley and S. K. Hildebrand, Semi-closure,<br />

Texas J. Sci., 22 (1971), 99-112.<br />

- J. E. Joseph and M. H. Kwack, On S-closed spaces, Proc.<br />

Amer. Math. Soc., 80 (2) (1980), 341-348.<br />

- A. B. Khalaf, Some strong types of separation axioms,<br />

Journal of Dohuk Univ., 3(2) (2000) (76-79).<br />

- A. B. Khalaf and Z. A. Ameen, sc-open sets and sccontinuity<br />

in topological spaces, Journal of<br />

Advanced Research in Pure Mathematics,<br />

2(3) (2010), 87-101.<br />

- N. Levine, Semi-open sets and semi-continuity in<br />

topological spaces, Amer. Math. Monthly, 70 (1)<br />

(1963), 36-41.<br />

- S. N. Maheshwari and R. Prasad, Some new separation<br />

axioms, Ann. Soc. Sci. Bruxelles, Ser. I., 89 (1975),<br />

395-402.<br />

- A. S. Mashhour, M. E. Abd El-Monsef and S. N. El-<br />

Deeb, On precontinuous and week precontinuous<br />

mappings, Proc. Math. Phys. Soc. Egypt, 53<br />

(1982), 47-53.<br />

- L. A. Steen and J. A. Seebach, Counterexamples in<br />

Topology, Springer Verlag New York Heidelberg<br />

Berlin, 1978.<br />

- M. H. Stone, Applications of the theory of boolean<br />

rings to topology, Trans. Amer. Math. Soc.,<br />

41(1937), 375-481.<br />

651


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 160-164, 2011<br />

061<br />

SOME NEW SEPARATION AXIOMS<br />

ZANYAR A. AMEEN * and BARAVAN A. ASAAD **<br />

* Dept. of Mathematics, Faculty of Science, University of Duhok, Kurdistan Region-Iraq<br />

** Dept. of Mathematics, Faculty of Science, University of Zakho, Kurdistan Region-Iraq<br />

(Received: September 6, 2010; Accepted for publication: May 2, 2011)<br />

ABSTRACT<br />

In this paper ps-open sets [8] are used to define some new separation axioms and study some of their basic<br />

properties. The implications of these axioms among themselves, �-Ti and pre-Ti for i = 0, 1, 2 are investigated.<br />

KEYWORDS: �-Ti, ps-Ti and pre-Ti spaces for i = 0, 1, 2<br />

I<br />

1. INTRODUCTION<br />

n 1982, Mashhour et. al. [13] introduced<br />

and investigated the notions of preopen<br />

sets and pre-continuity in topological spaces.<br />

Since then many separation axioms and<br />

mappings have been studied using preopen sets.<br />

In [6], some weak separation axioms, namely,<br />

pre-T0, pre-T1 and pre-T2 spaces are introduced<br />

and studied. In 1980, Jain [5] introduced and<br />

investigated the new classes of separation<br />

axioms called �-T0, �-T1 and �-T2. The purpose<br />

of this paper is to introduced and investigated<br />

some more separation axioms called ps-Ti<br />

spaces, for i = 0, 1, 2. These spaces lie strictly<br />

between �-Ti and pre-Ti spaces, for i = 0, 1, 2.<br />

2. PRELIMINARIES<br />

Throughout the present paper, spaces X,<br />

Y etc., will be denoting topological spaces. The<br />

closure and interior of A � X are denoted by<br />

Cl(A) and Int(A), respectively. A subset A of a<br />

space X is said to be preopen [13] (resp., semiopen<br />

[10], �-open [14], regular open [16] and<br />

semi-regular [1]) if A � Int(Cl(A)) (resp., A �<br />

Cl(Int(A)), A � Int(Cl(Int(A))), A = Int(Cl(A))<br />

and A = sInt(sCl(A))). The complement of a<br />

preopen (resp., semi-open and regular open) sets<br />

is said to be preclosed [3] (resp., semi-closed [2]<br />

and regular closed [16]). Velicko [17],<br />

introduced that a subset A of a space X is said to<br />

be �-open if for each x � A, there exists an open<br />

set G such that x � G � Int(Cl(G)) � A. A<br />

peropen subset A of a space X is said to be psopen<br />

[8] if for each x � A, there exists a semiclosed<br />

set F such that x � F � A. The family of<br />

all ps-open (resp., preopen and regular-semi)<br />

subsets of a space X is denoted by PSO(X)<br />

(resp., PO(X) and RS(X)). It is proven that the<br />

family of ps-open sets forms a supra topology. A<br />

subset N of X is said to be ps-neighborhood [8]<br />

of x, if there exists a ps-open set U in X such<br />

that x � U � N. A point x � X is said to be in<br />

the ps-closure [8] of A if for each ps-open set U<br />

containing x, U � A ≠ �. A subset A of X is said<br />

to be ps-closed [8] if A = ps-Cl(A). It worth<br />

mentioning that the class of ps-open sets lies<br />

between the class of �-open sets and the class of<br />

preopen sets. A function f : X � Y is said to be<br />

almost ps-continuous [7] (resp., weakly pscontinuous<br />

[9]) if for each x � X and each open<br />

set V of Y containing f (x), there exists a PS-open<br />

set U of X containing x such that f(U) �<br />

Int(Cl(V)) (resp., f(U) � Cl(V)).<br />

Definition 2.1. A topological space X is pre-T0<br />

[6] (resp., semi-T0 [11] and �-T0 [5]) space if to<br />

each pair of distinct points x, y of X, there exists<br />

a preopen (resp., semi-open and �-open) set<br />

containing one, but not the other.<br />

Definition 2.2. A topological space X is pre-T1<br />

[6] (resp., semi-T1 [11] and �-T1 [5]) space if to<br />

each pair of distinct points x, y of X, there exists<br />

a pair of preopen (resp., semi-open and �-open)<br />

sets, one containing x but not y, and the other<br />

containing y, but not x.<br />

Definition 2.3. A topological space X is pre-T2<br />

[6] (resp., �-T2 [5]) if to each pair of distinct<br />

points x, y of X, there exists a pair of disjoint<br />

preopen (resp., �-open) sets, one containing x<br />

and the other containing y.<br />

Definition 2.4. [4] A space X is called locally<br />

indiscrete if every open subset of X is closed.<br />

Definition 2.5. [12] A space X is s-regular if and<br />

only if for each x � X and each open set G<br />

containing x, there exists a semi-open set H such<br />

that x � H � sCl(H) � G.<br />

Lemma 2.6. [8] Let (X, �) be a space. Then<br />

PSO(X, �) = PSO(X, �α).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 160-164, 2011<br />

Lemma 2.7. Let (X, �) be a topological space.<br />

Then:<br />

(1) If A � � and B � PSO(X), then A � B �<br />

PSO(A) [8].<br />

(2) If A � RS(X) and B � PSO(X), then A � B<br />

� PSO(A)[8].<br />

Lemma 2.8. [8] If a space X is semi-T1, then<br />

PO(X) = PSO(X).<br />

Lemma 2.9. [8] If a topological space (X, �) is<br />

locally indiscrete, then PSO(X) = �.<br />

Lemma 2.10. [8] If a topological space (X, �) is<br />

s-regular, then � � PSO(X).<br />

Lemma 2.11. [8] Let X and Y be two<br />

topological spaces and X × Y be the product<br />

topology. Let A � PSO(X) and B � PSO(Y).<br />

Then A × B � PSO(X × Y).<br />

Lemma 2.12. [8] If f : X � Y is a continuous<br />

and open function and U is a ps-open set of Y,<br />

then f −1 (U) is a ps-open set in X.<br />

3. PS-T0 SPACES<br />

In this section, we introduce a new type<br />

of separation axioms called ps-T0 space, this<br />

space lies strictly between �-T0 and pre-T0 space,<br />

and we give some properties of ps-T0 space.<br />

Definition 3.1. A topological space X is ps-T0 if<br />

to each pair of distinct points x, y of X, there<br />

exists a ps-open set containing one, but not the<br />

other.<br />

It is evident that strongly �-T0 space implies<br />

ps-T0, and ps-T0 space implies pre-T0. But the<br />

converses may not be true as shown in the<br />

following examples:<br />

Example 3.2. Let X = {a, b, c, d}, and � = {�,<br />

{a}, {b}, {a, b}, X} be a topology on X, then X<br />

is ps-T0 but not �-T0, since c ≠ d, there is no �open<br />

set containing one of them, but not the<br />

other.<br />

Example 3.3. Let X = {a, b, c}, and � = {�, {a},<br />

X} be a topology on X. Then X is pre-T0 but not<br />

ps-T0, since for every two distinct points in X,<br />

there is no ps-open set containing one of them,<br />

but not the other.<br />

Theorem 3.4. A topological space X is ps-T0<br />

space if and only if ps-Cl{x} � ps-Cl{y}, for<br />

every pair of distinct points x, y of X.<br />

Proof. Let X be a ps-T0 space and x, y be any<br />

two distinct points of X. There exists a ps-open<br />

set U containing x or y, say x, but not y. Then<br />

X\U is a ps-closed set, which does not contain x,<br />

but contains y. Since ps-Cl{y} is the smallest psclosed<br />

set containing y, ps-Cl{y}� X\U, and so<br />

x � ps-Cl{y}. Consequently ps-Cl{x} � ps-<br />

Cl{y}.<br />

Conversely, suppose for any x, y � X with x �<br />

y, ps-Cl{x} � ps-Cl{y}. Now, let z � X such that<br />

z � ps-Cl{x}, but z � ps-Cl{y}. Now, we claim<br />

that x � ps-Cl{y}. For if x � ps-Cl{y}, then {x}<br />

� ps-Cl{y}, which implies that ps-Cl{x} � ps-<br />

Cl{y}. This is contradiction to the fact that z �<br />

ps-Cl{y}. Consequently x belongs to the ps-open<br />

set X\ps-Cl{y} to which y does not belong. It<br />

gives that X is ps-T0 space.<br />

Theorem 3.5. Every open (or semi-regular)<br />

subspace of a ps-T0 space is ps-T0 space.<br />

Proof. Let Y be an open (or semi-regular)<br />

subspace of a ps-T0 space X and x, y be two<br />

distinct points of Y. Then there exists a ps-open<br />

set U containing x or y, say, x but not y. Now by<br />

Lemma 2.7, U � Y is a ps-open set in Y<br />

containing x but not y. Hence Y is ps-T0 space.<br />

Definition 3.6. A function f: X � Y is said to be<br />

a point-ps-closure 1-1 if x, y � X such that ps-<br />

Cl{x} � ps-Cl{y}, then ps-Cl{f(x)} � ps-<br />

Cl{f(y)}.<br />

Theorem 3.7. If f : X � Y is a point-ps-closure<br />

1-1 function and X is ps-T0 space, then f is 1-1.<br />

Proof. Let x, y �X with x � y. Since X is a ps-T0<br />

space, then by Theorem 3.4, ps-Cl{x} � ps-<br />

Cl{y}. But f is point-ps-closure 1-1 implies that<br />

ps-Cl{f(x)} � ps-Cl{f(y)}. Hence f(x) � f(y).<br />

Thus, f is 1-1.<br />

Theorem 3.8. Let f : X � Y be a mapping from<br />

ps-T0 space X into ps-T0 space Y. Then f is<br />

point-ps-closure 1-1 if and only if f is 1-1.<br />

Proof. Follows from Theorem 3.7.<br />

Theorem 3.9. Let f : X � Y be an injective,<br />

continuous and open function. If Y is ps-T0, then<br />

X is ps-T0.<br />

Proof. Let x, y � X with x ≠ y. Since f is<br />

injective and Y is ps-T0, there exists a ps-open<br />

set Ux in Y such that f(x) � Ux and f(y) � Ux or<br />

there exists a ps-open set Uy in Y such that f(y)<br />

� Uy and f(x) � Uy with f(x) ≠ f(y). Since f is<br />

continuous and open function, then by Lemma<br />

2.12, f −1 (Ux) is ps-open set in X such that x �<br />

f −1 (Ux) and y � f −1 (Ux) or f −1 (Uy) is ps-open set in<br />

X such that y � f −1 (Uy) and x � f −1 (Uy). This<br />

shows that X is ps-T0.<br />

Theorem 3.10. If a topological space X is ps-T0,<br />

then it is semi-T0.<br />

Proof. Let X be a ps-T0 space and x, y be any<br />

two distinct points of X. There exists a ps-open<br />

set U containing x or y, say, x but not y. Then<br />

there exists a semi-closed set F such that x � F<br />

060


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 160-164, 2011<br />

� U, so X\F is a semi-open set containing y, and<br />

it is obvious that x � X\F. Therefore, X is semi-<br />

T0 space.<br />

061<br />

4. PS-T1 SPACES<br />

In this section, we introduce a new type of<br />

separation axioms called ps-T1 space, this space<br />

lies strictly between �-T1 and pre-T1 space, and<br />

we give some properties of ps-T1 space.<br />

Definition 4.1. A topological space X is ps-T1 if<br />

to each pair of distinct points x, y of X, there<br />

exists a pair of ps-open sets, one containing x<br />

but not y, and the other containing y but not x.<br />

Remark 4.2. Obviously, every �-T1 space is ps-<br />

T1, but the converse is not always true, as shown<br />

in the following example.<br />

Example 4.3. Let X be any infinite set with the<br />

cofinite topology. Simplify the space X is T1 and<br />

hence it is semi-T1 and pre-T1. Then by Lemma<br />

2.8, X is ps-T1, but not �-T1, since for x and y in<br />

X, there is no �-open set containing one of them,<br />

but not the other.<br />

Remark 4.4. Every ps-T1 space is pre-T1, but the<br />

following example shows that the converse is<br />

not always true.<br />

Example 4.5. Let X = {a, b, c} with the<br />

indiscrete topology �. Then X is pre-T1, but not<br />

ps-T1.<br />

Remark 4.6. Every ps-T1 space is ps-T0, but the<br />

converse is not always true as seen in the<br />

Example 3.2, X is ps-T0 but not ps-T1.<br />

Theorem 4.7. For a topological space X, the<br />

following statements are equivalent:<br />

(1) X is ps-T1.<br />

(2) Each singleton set {x} is ps-closed.<br />

(3) Each subset of X is the intersection of all psopen<br />

sets containing it.<br />

(4) The intersection of all ps-open sets<br />

containing the point x � X is the set {x}.<br />

Proof. (1) � (2) Suppose (1). Let x � X. Then<br />

for any y � X, x � y, there exists a ps-open set U<br />

containing y but not x. Hence y � U � X\{x}.<br />

This implies that X\{x} = �{U: y � X\{x}}. So,<br />

X\{x} being a union of ps-open sets. Hence, {x}<br />

is ps-closed.<br />

(2) � (3) Suppose (2). If A � X, then for each<br />

point y � A, there exists a set X\{y} such that A<br />

� X\{y} and each of these sets is ps-open.<br />

Hence A = �{ X\{y} : y � X\A} so that the<br />

intersection of all ps-open sets containing A is<br />

the set A itself.<br />

(3) � (4) Obvious.<br />

(4) � (1) Suppose (4). Let x, y � X and x � y.<br />

Hence there exists a ps-open set Ux such that x �<br />

Ux and y � Ux. Similarly, there exists a ps-open<br />

set Uy such that y � Uy and x � Uy. Hence X is<br />

ps- T1.<br />

Theorem 4.8. Every open (or semi-regular)<br />

subspace of a ps-T1 space is ps-T1.<br />

Proof. Let A be a open (or semi-regular)<br />

subspace of a ps-T1 space X. Let x � A. Since X<br />

is ps-T1, then by Theorem 4.7, {x} is ps-closed<br />

set in X and hence X\{x} is ps-open set in X.<br />

Now, A being open (or semi-regular), A �<br />

X\{x} = A\{x} is ps-open in A, by Lemma 2.7.<br />

Consequently, {x} is ps-closed in A. Hence by<br />

Theorem 4.7, A is ps-T1 space.<br />

Theorem 4.9. Let f : X � Y be an injective,<br />

continuous and open function. If Y is ps-T1, then<br />

X is ps-T1.<br />

Proof. Similar to Theorem 3.9.<br />

Theorem 4.10. Let f : X � Y be a weakly pscontinuous<br />

injection. If Y is Hausdorff, then X is<br />

ps-T1.<br />

Proof. Let x1 and x2 be any distinct points in X.<br />

Then f(x1) ≠ f(x2) and there exist disjoint open<br />

sets V1 and V2 of Y such that f(x1) � V1 and f(x2)<br />

� V2. Then we obtain f(x1) � Cl(V2) and f(x2) �<br />

Cl(V1). Since f is weakly ps-continuous, there<br />

exists a ps-open set Ui of X containing xi such<br />

that f(Ui) � Cl(Vi), for i = 1,2. Hence we obtain<br />

x2 � U1 and x1 � U2. This shows that X is ps-T1.<br />

5. PS-T2 SPACES<br />

In this section, we introduce a new type of<br />

separation axioms called ps-T2 space, this space<br />

lies strictly between �-T2 and pre-T2 space, and<br />

we give some properties of ps-T2 space.<br />

Definition 5.1. A topological space X is ps-T2 if<br />

to each pair of distinct points x, y of X, there<br />

exists a pair of disjoint ps-open sets, one<br />

containing x and the other containing y.<br />

Remark 5.2. Since every �-open set is ps-open,<br />

then every �-T2 space is ps-T2, but the converse<br />

is not always true as shown in the following<br />

example.<br />

Example 5.3. Consider the Prime Integer<br />

topology [see 15, page 83]. Then the space is<br />

both semi-T1and pre-T2 and consequently by<br />

Corollary 5.10, it is ps-T2 but not �-T2, since for<br />

x = 2 and y = any other number with x � y.<br />

There exist no �-open sets Ux and Vy such that<br />

Ux � Vy = �, the only �-open set containing the<br />

prime number p = 2 is X.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 160-164, 2011<br />

Remark 5.4. Clearly every ps-T2 space is pre-T2,<br />

but the converse need not be true in general, as<br />

in Example 4.3, the space X is pre-T2 but not ps-<br />

T2.<br />

Remark 5.5. Clearly every ps-T2 space is ps-T1,<br />

but the converse is not always true as shown in<br />

the following example.<br />

Example 5.6. Consider the space (X, �) given in<br />

Example 4.3. Then the space X is ps-T1 but not<br />

ps-T2, since for x and y in X, there is no pair of<br />

disjoint ps-open sets, one containing x and the<br />

other containing y.<br />

Theorem 5.7. For a topological space X, the<br />

following statements are equivalent:<br />

(1) X is ps-T2.<br />

(2) If x � X, then there exists a ps-neighborhood<br />

N(x) of x such that y � ps-Cl(N(x)).<br />

(3) For each x � X, �{ps-Cl(N) : N is a psneighborhood<br />

of x} = {x}.<br />

Proof. (1) � (2) Suppose (1). Let x � X. Then,<br />

there exist disjoint ps-open sets U, V such that x<br />

� U, x � V. Then x � U � X\V, so that X\V is a<br />

ps-neighborhood of x. We write N(x) = X\V.<br />

Then N(x) is ps-closed and y � ps-Cl(N(x)).<br />

Hence y � ps-Cl(N(x)).<br />

(2) � (3) Straight forward.<br />

(3) � (1) Suppose (3). Let x, y � X and x � y.<br />

Then, by hypothesis there exists a ps-closed psneighborhood<br />

N of x such that y � N. Now there<br />

is a ps-open set U such that x � U � N. Thus U<br />

and X\N are disjoint ps-open sets containing x<br />

and y respectively. Hence, X is ps-T2.<br />

Theorem 5.8. Every open (or semi-regular)<br />

subspace of a ps-T2 space is ps-T2.<br />

Proof: It is analogous to Theorem 3.5.<br />

Theorem 5.9. A space (X, �) is ps-T2 if and only<br />

if (X, ��) is ps-T2.<br />

Proof. Let x, y � X with x � y . Since X is ps-T2,<br />

there exist disjoint ps-open sets U and V in X<br />

such that x � U and y � V. Then by Lemma 2.6,<br />

U, V � PSO(X, ��). Thus, (X, ��) is ps-T2.<br />

Converse follows similarly since PSO(X, �) =<br />

PSO(X, ��).<br />

Corollary 5.10. Let X be a semi-T1 space. Then<br />

X is ps-Ti if and only if is pre-Ti for i = 0,1,2.<br />

Proof. Directly follows from Lemma 2.8.<br />

Corollary 5.11. Let X be an indiscrete space.<br />

Then X is Ti if and only if is ps-Ti for i = 0,1,2.<br />

Proof. Directly follows from Lemma 2.9.<br />

Corollary 5.12. Every s-regular Ti space is ps-Ti<br />

for i = 0,1,2.<br />

Proof. Directly follows from Lemma 2.10.<br />

Theorem 5.13. The product of two ps-T2 spaces<br />

is ps-T2.<br />

Proof. Let X, Y be ps-T2 spaces and let x, y � X<br />

� Y with x ≠ y. Let x = (a, b) and y = (c, d).<br />

Without any loss of generality suppose that a ≠ c<br />

and b ≠ d. Since a and c are distinct points of X,<br />

there exist disjoint ps-open sets U and V of X<br />

such that a � U and c � V. Similarly let G and H<br />

be disjoint ps-open sets in Y such that b � G and<br />

d � H. Then by Lemma 2.11, U � G and V � H<br />

are ps-open sets in X � Y containing x and y<br />

respectively. Also,<br />

(U � G) � (V � H) = (U � V) � (G � H) =<br />

�.<br />

Hence X � Y is ps-T2.<br />

Theorem 5.14. Let f : X � Y be an injective,<br />

continuous and open function. If Y is ps-T2, then<br />

X is ps-T2.<br />

Proof. Similar to Theorem 3.9.<br />

Theorem 5.15. If for each pair of distinct points<br />

x1 and x2 in a space X, there exist a function f of<br />

X into a Urysohn space Y such that f(x1) ≠ f(x2)<br />

and f is weakly ps-continuous at x1 and x2, then<br />

X is ps-T2.<br />

Proof. Let x1 and x2 be any distinct points in X.<br />

Then there exists a function f : X � Y such that<br />

Y is Urysohn, f(x1) ≠ f(x2) and f is weakly pscontinuous<br />

at x1 and x2. Let yi = f(xi) for i = 1; 2.<br />

We have y1 ≠ y2. Since Y is Urysohn, then there<br />

exist open sets V1 and V2 containing y1 and y2,<br />

respectively, such that Cl(V1) � Cl(V2) = �.<br />

Since f is weakly ps-continuous at x1 and x2, then<br />

there exist ps-open sets Ui for i = 1, 2 containing<br />

xi such that f(Ui) � Cl(Vi). This shows that U1 �<br />

U2 = � and hence X is ps-T2.<br />

Theorem 5.16. If for each pair of distinct points<br />

x1 and x2 in a space X, there exists a function f of<br />

X into a Hausdorff space Y such that (1) f(x1) ≠<br />

f(x2), (2) f is almost ps-continuous at x1 and (3) f<br />

is weakly ps-continuous at x2, then X is ps-T2.<br />

Proof. Since Y is Hausdorff, there exist open<br />

sets V1 and V2 of Y such that f1(x1) � V1, f2(x2)<br />

� V2 and V1 � V2 = � implies that Int(Cl(V1)) �<br />

Cl(V2) = �. Since f is almost ps-continuous at x1,<br />

there exists a ps-open set U1 in X containing x1<br />

such that f(U1) � Int(Cl(V1)). Since f is weakly<br />

ps-continuous at x2, there exists a ps-open set U2<br />

in X containing x2 such that f(U2) � Cl(V2).<br />

Therefore, we obtain U1 � U2 = �. This shows<br />

that X is ps-T2.<br />

Corollary 5.17. Let f : X � Y be almost PScontinuous<br />

(resp., weakly PS-continuous)<br />

injection. If Y is Hausdorff (resp., Urysohn)<br />

space, then X is PS-T2.<br />

062


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 160-164, 2011<br />

The following diagram indicates the<br />

implications between the separation axioms that<br />

we have come across in this paper and examples<br />

show that no other implications hold between<br />

them.<br />

063<br />

�-T2 ps-T2 pre-T2<br />

�-T1 ps-T1 pre-T1<br />

�-T0 ps-T0 pre-T0<br />

Diagram (1)<br />

REFERENCE<br />

- D. E. Cameron, Properties of S-closed spaces, Proc.<br />

Amer. Math. Soc., 72 (3) (1978), 581-586.<br />

- S. G. Crossley and S. K. Hildebrand, Semi-closure,<br />

Texas J. Sci., 22 (1971), 99-112.<br />

- El-Deeb S. N., Hasanein I. A., Mashhour A. S. and<br />

Noiri, T., On p-regular spaces, Bull. Math. Soc. Sci.<br />

Math. R.S. Roum., 27 (4) (1983), 311-315.<br />

- J. Dontchev, Survey on preopen sets, The Proceedings<br />

of the Yatsushiro Topological Conference, (1998),<br />

1-18.<br />

- R.C. Jain, The role of regularly open sets in general<br />

topology spaces, Ph.D. Thesis, Meerut Univ. Inst.<br />

Advance Stud. Meerut, India 1980.<br />

- A.Kar and P.Bhattacharyya, Some weak separation<br />

axioms, Bull. Cal. Math. Soc., 82 (1990),415-422.<br />

- A. B. Khalaf and B. A. Asaad, Almost PS-continuous<br />

functions, submitted.<br />

- A. B. Khalaf and B. A. Asaad, ps-open sets and pscontinuity<br />

in topological spaces, J. Duhok univ., 12<br />

(2) 2009, 183-192.<br />

- A. B. Khalaf and B. A. Asaad, Weakly PS-continuous<br />

functions, submitted to the J. Duhok Univ..<br />

- N. Levine, Semi-open sets and semi-continuity in<br />

topological spaces, Amer. Math. Monthly, 70 (1)<br />

(1963), 36-41.<br />

- S. N. Maheshwari and R. Prasad, Some new separation<br />

axioms, Ann. Soc. Sci. Bruxelles, Ser. I., 89 (1975),<br />

395-402.<br />

- S. N. Maheshwari and R. Prasad, On s-regular spaces,<br />

Glasnik Mat. 10(30) (1975), 347-350.<br />

- A. S. Mashhour, M. E. Abd El-Monsef and S. N. El-<br />

Deeb, On precontinuous and week precontinuous<br />

mappings, Proc. Math. Phys. Soc. Egypt, 53 (1982),<br />

47-53.<br />

- Njastad O., On some classes of nearly open sets, Pacific<br />

J. Math., 15 (3) (1965), 961-970<br />

- L. A. Steen and J. A. Seebach, Counterexamples in<br />

Topology, Springer Verlag New York Heidelberg<br />

Berlin, 1978.<br />

- M. H. Stone, Applications of the theory of boolean<br />

rings to topology, Trans. Amer. Math. Soc.,<br />

41(1937), 375-481.<br />

- N. V. Velicko, H-closed topological spaces, Amer.<br />

Math. Soc. Transl., 78 (2) (1968), 103-118.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

GAMMA – RAY AND ANNEALING EFFECTS ON<br />

THE ENERGY GAP OF GALSS<br />

AHMAD KHALAF MEHEEMEED * and SULAIMAN HUSSEIN AL-SADOON **<br />

* Dept. of Physics, College of Education, University of Mosul-Iraq<br />

** Dept. of Physics, Faculty of Science, University of Zakho, Kurdistan Region-Iraq<br />

(Received: September 6, 2010; Accepted for publication: June 28, 2011)<br />

ABSTRACT<br />

This study deals with the effect of gamma rays and heat treatment on the absorption coefficient and energy gap of<br />

the glass and the times of irradiation (10, 20, 30, 40, 50, 70, 80)hrs treated thermally at temperatures (20,<br />

50,100,150,200,250,300,350) o C for period time 15 min. We found that the absorption coefficient increases with<br />

increasing the gamma rays and decreases with the temperature increases. It was found that the values of the energy<br />

gap of the glass decreased with the increase of irradiation time at the range 40-50 hrs, and then increases when the<br />

irradiation time increasing, but it has been found that the thermal treatment will increases the values of the energy<br />

gap of the glass. These increases and decreases in the values of the energy gap are may be related to formation of Fcenter<br />

or coloration center as a result of exposure to the radiation, while heating repairing the glass damage.<br />

I<br />

1- INTRODUCTION<br />

onizing radiation (charged particles,<br />

neutrons, gamma rays, X-ray and other)<br />

has observed effects on the transparent materials<br />

such as glass and polymer, it affects on the<br />

electrical conductivity, hardness, and other<br />

mechanical properties [Pye et. al., 1972]. When<br />

ionizing radiation incident on the glass, the kind<br />

of coloration centers will be prevalent and can<br />

lead to the darkness of the glass. Darkness of the<br />

glass took place when the impact of radiation<br />

increase in the optical absorbance is almost<br />

identical in the visible spectrum. Optical<br />

absorbance is of great importance in the<br />

diagnosis of physical and chemical changes that<br />

occur on the glass and also used the optical<br />

absorbance as ameasur of the radiation dose [Al<br />

Sadoon, 2004]. There are many studies on the<br />

effect of gamma radiation and heat treatment on<br />

the optical properties of the glass. Brekhovaskish<br />

confirmed a simple glass crystallized boron-<br />

Lead-barium after an absorbed dose (108 rad) of<br />

gamma rays [Brekhovaskish, 1959]. Friebele et<br />

al, found the appearance of the absorption bands<br />

in the high-purity silica glass after gamma-ray or<br />

x-ray irradiated. They concluded that the<br />

appearing of these bands due to damage in the<br />

glass lattice in the absence of any added ions or<br />

impurities in high-purity silica glass [Friebele et.<br />

al., 1985]. Sharma et. al. studied effects of<br />

gamma-ray irradiation on some optical<br />

properties of xZnO· 2xPbO· (1–3x)B2O3<br />

glasses in the wavelength range 300–800 nm.<br />

Decrease in transmittance indicated the<br />

formation of color-center defects. Values for the<br />

energy-band gap, the width of the energy tail<br />

above the mobility gap and the cut-off<br />

wavelength have been measured before and after<br />

irradiation. Changes in the optical properties are<br />

explained in terms of radiation-induced<br />

structural defects and the composition of the<br />

glass [Sharma et. al., 2006]. Baccaro et. al., have<br />

been studied gamma ray effects on the some<br />

optical band gap of PbO–B2O3 glasses in the<br />

wavelength (200-1200) nm, absorption of<br />

glasses in near UV-visible have been used to<br />

calculate the optical mobility gap and width of<br />

tail before and after irradiation. They found that<br />

the decreasing in transmission due to irradiation,<br />

which indicates to the formation of color centers<br />

and structural changes in glass[Baccaro et. al.,<br />

2008]. Yuwen et. al., found that the variations:<br />

absorption coefficient (�),the optical mobility<br />

gap (E0), and the width of the energy tail above<br />

the gap (ΔE) changed due to irradiation and for<br />

this the structure of glass will be changes[Yuwen<br />

et. al., 2009].<br />

The current study aims to study the effect of<br />

gamma rays and heat treatment on both the<br />

absorption coefficient and energy gap of the<br />

glass, as well as to find a comprehensive<br />

empirical equation between the energy gap and<br />

both of the irradiation time and heating<br />

temperatures in the range of the present study.<br />

2- THE THEORETICAL PART<br />

2-1- Optical Absorbance In The Glass:<br />

When passing electromagnetic radiation<br />

(light) through a layer of transparent material,<br />

561


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

the intensity of irradiance (Io) in general is<br />

greater than the intensity of the radiation force<br />

(I) because some of the photons of certain<br />

frequencies may be absorbed. The intensity of<br />

the radiation absorbed is directly proportional to<br />

the number of molecules absorbing This is the<br />

basis of the Beer - Lambert Law [Soulignac<br />

and Lamotte,1987, Urbano et. al., 1999].<br />

x<br />

oe I I<br />

��<br />

� …(1)<br />

Where: x: thickness of absorbent material, �:<br />

absorption coefficient<br />

� I 0 � �x<br />

log��<br />

�<br />

I<br />

��<br />

…(2)<br />

� � 2.<br />

303<br />

�x<br />

A � …(3)<br />

2.<br />

303<br />

Known as log (Io / I) absorbance A<br />

� 2.<br />

303 �<br />

� � � �A<br />

…(4)<br />

� x �<br />

The amount of radiation absorbed depends on<br />

the type and thickness of the absorbent material.<br />

The relationship between the energy gap<br />

(Eopt) and the absorption coefficient (�) and<br />

incident photon energy (E) are given by the<br />

following relationship[Tauc et. al., 1966]:<br />

1 / 2<br />

� E � const E � E …(5)<br />

� � � �<br />

566<br />

opt<br />

2-2- Radiation Damage In The Glass:<br />

There are two types of radiation damages, a<br />

damage resulting from direct collisions between<br />

the ionizing radiation (charged particles such as<br />

proton (p), (�) and neutral particles such as<br />

neutrons (n)) and the targeted atoms where<br />

permanent displacement of the atoms occurs<br />

when receiving a higher energy level of the<br />

energy threshold. If less energy than that of the<br />

threshold is received by the atoms no<br />

displacement exists or simple displacement<br />

could take place and atoms will quickly return to<br />

their original place [Wong, 1998, Norgett et.al.,<br />

1975]. The second type is the damage caused by<br />

the ionization reactions as a result of beta<br />

particles and gamma rays interactions with glass<br />

resulting in covalent bonding break, changes of<br />

the parity, the disintegration of H2O and OH<br />

(water content atoms), and the disintegration of<br />

the unstable molecular ions [Wong, 1998, Burns<br />

et. al. ,1982, Ernisse and Norris, 1974].<br />

Phenomenon of radiation damage has been<br />

interpreted on the basis that some sort of damage<br />

centers is prevalent, and changes the place of the<br />

electrons, when the electrons leave their<br />

position. These electrons are more stable in<br />

some areas of the gap, which are close to the<br />

positive ions, called the center coloration (F-<br />

Center) and this defect is responsible for the<br />

change that occurs in coloring glass so, there<br />

will be many levels of energy available that<br />

occupied by these electrons, This multiplicity of<br />

levels of energy absorption of light makes it<br />

almost identical without appearing absorption in<br />

a certain range of wavelength and this lead to a<br />

dark [Tittel and Kamel, 1967, Yamamoto et. al.,<br />

1969, Pye et. al., 1972, Holbert, 1995 , Ghoneim<br />

et. al., 2006, Baccaro et. al., 2008]. Radiation<br />

damage were studied through measurements of<br />

changes in optical absorbance, density,<br />

mechanical strength and knowledge of the<br />

amount of energy stored and behavioral study of<br />

helium liberation, as well as microscopic studies<br />

of the changed composition flour and structural<br />

changes as disappearance transparency and<br />

transformation of crystal structure to the random<br />

structures, and the transformation of amorphous<br />

to crystalline structure of random structures for<br />

the random such as glass[Al Ameli, 1988]. The<br />

structural changes resulting from radiation<br />

damage represent a semi-permanent state but<br />

could restore its original state when properly<br />

heated for a certain time representing the<br />

proportion of radiation damage repair function<br />

of both time and temperature. When the<br />

temperature is constant reform time increase and<br />

vice versa when the time is stable reform rate<br />

increases with increasing temperature [Al Ameli,<br />

1988, Holbert, 1995].<br />

3-THE PRACTICAL SIDE<br />

In this study, the glass used in the procession<br />

optical (Slides), thickness (1) mm is used. Glass<br />

was divided into to a number of pieces of equal<br />

size, each (3.75x1.25) cm2. Glass samples were<br />

exposed to gamma-ray irradiation using a cell<br />

(SPECIFICATION-1982) Gamma Cell-220,<br />

which is located in (the University of Mosul /<br />

College of Science). The irradiation cell<br />

containing 60 Co radioactive source with the<br />

effectiveness of radiation (6430) Ci at date<br />

manufactured (5 / 1982). The absorption dose<br />

rate measurements taken at the final is (0.0331)<br />

Mrad / hr. The time of irradiation is (10, 20, 30,<br />

40, 50, 70, 80) hrs. Seven samples irradiated of<br />

each time period of irradiation. Six samples was<br />

heated at temperatures (50, 100, 150, 200, 250,<br />

300) o C by using electric furnace (Thermoline) of<br />

range of thermal (30-1200) o C have been used.<br />

The optical absorbance was measured for all


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

samples irradiated and heated in addition to the<br />

standard sample (non-irradiated and non-heated)<br />

by using spectrometer (type SECIL 1021) at the<br />

range (300 - 540) nm.<br />

4- CALCULATIONS<br />

4-1- Absorption Coefficient (�) And Incident<br />

Photon Energy E (Ev):<br />

Absorption coefficient has been calculated by<br />

using the equation (4) for the samples irradiated<br />

at the times period irradiations (10, 20, 30, 40,<br />

50, 70, 80) hrs, and heated at the range of<br />

temperature (20.-350) o C. As well as, the incident<br />

photons energy have been calculated at the range<br />

(300-540)nm by the following relationship<br />

[Wong, 1998, Patel, 2006]:<br />

1.<br />

241�10<br />

E �eV � �<br />

…(6)<br />

�<br />

�nm� �6<br />

4-2- Energy Gap Eopt:<br />

Energy gap Eopt is calculated using equation<br />

(5) by drawing the relationship between � � 2 / 1<br />

� E<br />

and the incident photon energy (E) as shown in<br />

fig. 1, 2, 3. The tangent line of the curve with the<br />

x-axis has been determined, which represents the<br />

value of the optical energy gap. The previous<br />

procedures adopted by other authors.[Soulignac<br />

and Lamotte, 1987]<br />

5- RESULTS AND DISCUSSION<br />

Fig. 1, 2 and 3 below show examples of the<br />

relationship between the incident photons energy<br />

and for period time of irradiation (10, 40, 80)hrs<br />

at different temperatures. It is found that (�E) 1/2<br />

increases with increasing of the photon energy<br />

and decreasing with less heating. The tangent<br />

line of the curve with the x-axis (E) has been<br />

determined, which represents the value of the<br />

optical energy gap (Eopt). Table (1) shows the<br />

values of the energy gap at period times of<br />

irradiation at different temperatures.<br />

Fig.4 shows that the absorption coefficient is<br />

increasing with photon energy at the range (2.6 -<br />

4)eV and increases with time of irradiation, and<br />

decreases with the increasing of temperatures.<br />

Electrons in the glass samples were removed<br />

from the position of stability when glass is<br />

exposed to gamma rays. These electrons have<br />

centered in (color center or F-center) and these<br />

electrons absorb the photons incident[Sharma et.<br />

al., 2006]. Absorbance increases with increasing<br />

time of gamma-ray irradiation. The absorbance<br />

or optical absorption coefficient decreases with<br />

the increasing temperature due to the electrons<br />

get back to their original positions by heating.<br />

Table (1): The values of the energy gaps at different period time of irradiation at different temperatures.<br />

Time Tirr. (hrs)<br />

10<br />

20<br />

30<br />

40<br />

50<br />

70<br />

80<br />

T o C<br />

20 o C 50 o C<br />

1.685<br />

1.588<br />

1.479<br />

1.207<br />

1.108<br />

1.259<br />

1.31<br />

1.855<br />

1.899<br />

1.689<br />

1.484<br />

1.602<br />

1.580<br />

1.81<br />

100 o C<br />

2.107<br />

1.828<br />

1.650<br />

1.531<br />

1.609<br />

1.580<br />

1.88<br />

When plotting the relationship between the<br />

energy gap versus the time period of irradiation,<br />

the energy gap decreases initially to its minimum<br />

value and then increases with time period of<br />

irradiation. The minimum value is at the time<br />

ranges of irradiation (40-60) hrs, these are<br />

caused by transferring of the electrons from<br />

atom to another and create which is called Fcenter<br />

(center colorations), or transfer of the<br />

electron from valance band to conduction<br />

band[Baccaro et. al., 2008, Ghoneim et. al.,<br />

2006, Holbert, 1995, Pye et. al., 1972,<br />

150 o C<br />

2.29<br />

2.231<br />

2.127<br />

2.092<br />

2.075<br />

2.093<br />

2.204<br />

200 o C<br />

2.378<br />

2.356<br />

2.238<br />

2.248<br />

2.324<br />

2.376<br />

2.467<br />

250 o C<br />

2.496<br />

2.433<br />

2.554<br />

2.321<br />

2.545<br />

2.589<br />

2.571<br />

300 o C<br />

2.605<br />

2.533<br />

2.561<br />

2.134<br />

2.746<br />

2.533<br />

2.668<br />

500 o C<br />

2.687<br />

2.584<br />

2.540<br />

2.396<br />

2.648<br />

2.559<br />

2.799<br />

Yamamoto et. al., 1969] as shown in Fig.5.<br />

When plotting the relationship between the<br />

energy gap and temperature, the energy gap<br />

increases with temperature, as shown in Fig.6.<br />

Changes in values of energy gap may be related<br />

to the structural changes due to gamma-ray<br />

irradiation (radiation damage) and these changes<br />

are semi-permanent and could be returned<br />

to original state (repair damage). By<br />

using sufficient heat this process is<br />

reversible[Holbert, 1995].<br />

561


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

Fig. (1): The relationship between � � 2 / 1<br />

E<br />

561<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

t irrad. = 10 hrs , Room Temperature<br />

y = 2.1014x - 3.5419<br />

R 2 = 0.9792<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

y = 2.4555x - 5.1738<br />

R 2 = 0.9923<br />

E (eV)<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

5<br />

4.5<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

t irrad. = 10 hrs , T = 100 o C<br />

E (eV)<br />

y = 2.4657x - 5.864<br />

R 2 = 0.9856<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

y = 2.0775x - 5.4132<br />

R 2 = 0.9422<br />

t irrad. = 10 hrs , T = 200 o C<br />

E (eV)<br />

t irrad. = 10 hrs , T = 300 o C<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

E (eV)<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(�E) 1/2 (eV/cm) 1/2<br />

y = 2.1785x - 4.0419<br />

R 2 = 0.9677<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

� and the incident photon energy for period time of irradiation 10 hrs at<br />

different annealing for 15 minutes of thermal heating.<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

t irrad. = 10 hrs , T = 50 o C<br />

E (eV)<br />

t irrad. = 10 hrs , T =150 o C<br />

y = 2.619x - 5.9977<br />

R 2 = 0.9761<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

4.5<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

E (eV)<br />

t irrad. = 10 hrs , T =250 o C<br />

y = 2.3727x - 5.9236<br />

R 2 = 0.9676<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

E (eV)<br />

t irrad. = 10 hrs , T = 350 o C<br />

y = 1.6555x - 4.4495<br />

R 2 = 0.8851<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5<br />

E(eV)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(m E) 1/2 (eV/cm) 1/2<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

t irrad. = 40 hrs , Room Temperature<br />

y = 2.7663x - 3.3398<br />

R 2 = 0.9844<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

E (eV)<br />

y = 2.7851x - 4.2625<br />

R 2 = 0.9953<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

t irrad. = 40 hrs , T = 100 o C<br />

E (eV)<br />

y = 3.3058x - 7.4346<br />

R 2 = 0.9967<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

t irrad. = 40 hrs , T = 200 o C<br />

E (eV)<br />

t irrad. = 40 hrs , T = 300 o C<br />

y = 1.856x - 3.9614<br />

R 2 = 0.9291<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

E (eV)<br />

Fig. (2): The relationship between � � 2 / 1<br />

E<br />

Dose = 40<br />

hrs , T =<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(m E) 1/2 (eV/cm) 1/2<br />

y = 2.7696x - 4.1124<br />

R 2 = 0.9929<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

� and the incident photon energy for period time of irradiation 40 hrs at<br />

different annealing for 15 minutes of thermal heating.<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

t irrad. = 40 hrs , T = 50 o C<br />

E (eV)<br />

t irrad. = 40 hrs , T = 150 o C<br />

y = 3.3836x - 7.0817<br />

R 2 = 0.9939<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

E (eV)<br />

t irrad. = 40 hrs , T = 250 o C<br />

y = 2.7767x - 6.4432<br />

R 2 = 0.9937<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

E (eV)<br />

t irrad. = 40 hrs , T = 350 o C<br />

y = 1.7379x - 4.1647<br />

R 2 = 0.9769<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

E (eV)<br />

561


Dose =<br />

80 hrs ,<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

Fig (3): The relationship between � � 2 / 1<br />

E<br />

511<br />

10<br />

9<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

t irrad. = 80 hrs , Room Temperature<br />

y = 3.2026x - 4.1956<br />

R 2 = 0.9878<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

E (eV)<br />

y = 3.7353x - 7.0218<br />

R 2 = 0.9684<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

t irrad. = 80 hrs , T = 100 o C<br />

E (eV)<br />

y = 4.3406x - 10.706<br />

R 2 = 0.9776<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

t irrad. = 80 hrs , T = 200 o C<br />

E (eV)<br />

t irrad. = 80 hrs , T = 300 o C<br />

y = 3.6443x - 9.7232<br />

R 2 = 0.9374<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

E (eV)<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

(� E) 1/2 (eV/cm) 1/2<br />

� and the incident photon energy for period time of irradiation 80 hrs at<br />

different annealing for 15 minutes of thermal heating.<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

t irrad. = 80 hrs , T = 50 o C<br />

y = 3.662x - 6.6279<br />

R 2 = 0.9653<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

E (eV)<br />

t irrad. = 80 hrs , T = 150 o C<br />

y = 4.1098x - 9.0564<br />

R 2 = 0.9721<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

E (eV)<br />

t irrad. = 80 hrs , T = 250 o C<br />

y = 3.9386x - 10.124<br />

R 2 = 0.9611<br />

0<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

5<br />

4.5<br />

4<br />

3.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

y = 3.4312x - 9.603<br />

R 2 = 0.9048<br />

E (eV)<br />

t irrad. = 80 hrs , T = 350 o C<br />

0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3 3.3 3.6 3.9 4.2 4.5 4.8<br />

E (eV)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

� (1/cm)<br />

� (1/cm)<br />

� (1/cm)<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

tirrad.=10 hrs<br />

1.5 2 2.5 3 3.5 4 4.5 5<br />

E(eV)<br />

tirrad.=20 hrs<br />

1.5 2 2.5 3 3.5 4 4.5 5<br />

E(eV)<br />

tirrad.=30 hrs<br />

1.5 2 2.5 3 3.5 4 4.5 5<br />

E(eV)<br />

without<br />

annealing<br />

T=50 oC<br />

T=100 oC<br />

T=150 oC<br />

T=200 oC<br />

T=250 oC<br />

T=300 oC<br />

T=350 oC<br />

without<br />

annealing<br />

T=50 oC<br />

T=100 oC<br />

T=150 oC<br />

T=200 oC<br />

T=250 oC<br />

T=300 oC<br />

T=350 oC<br />

without<br />

annealing<br />

T=50 oC<br />

T=100 oC<br />

T=150 oC<br />

T=200 oC<br />

T=250 oC<br />

T=300 oC<br />

T=350 oC<br />

Fig. (4a): The relationship between the absorption coefficient and incident photon energy for period time of<br />

irradiation (10, 20, 30) hrs at different annealing (20-350) o C for 15 minutes of thermal heating<br />

515


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

511<br />

� (1/cm)<br />

� (1/cm)<br />

� (1/cm)<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

18<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

tirrad.=40 hrs<br />

1.5 2 2.5 3 3.5 4 4.5 5<br />

E(eV)<br />

tirrad.=50 hrs<br />

1.5 2 2.5 3 3.5 4 4.5 5<br />

E(eV)<br />

tirrad.=70 hrs<br />

1.5 2 2.5 3 3.5 4 4.5 5<br />

E(eV)<br />

without<br />

annealing<br />

T=50 oC<br />

T=100 oC<br />

T=150 oC<br />

T=200 oC<br />

T=250 oC<br />

T=300 oC<br />

T=350 oC<br />

without<br />

annealing<br />

T=50 oC<br />

T=100 oC<br />

T=150 oC<br />

T=200 oC<br />

T=250 oC<br />

T=300 oC<br />

T=350 oC<br />

without<br />

annealing<br />

T=50 oC<br />

T=100 oC<br />

T=150 oC<br />

T=200 oC<br />

T=250 oC<br />

T=300 oC<br />

T=350 oC<br />

Fig. (4b): The relationship between the absorption coefficient and incident photon energy for period time of<br />

irradiation (40, 50, 70) hrs at different annealing (20-350) o C for 15 minutes of thermal heating


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

Eg (eV)<br />

Eg (eV)<br />

Eg (eV)<br />

Eg (eV)<br />

� (1/cm)<br />

20<br />

18<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

tirrad.=80 hrs<br />

1.5 2 2.5 3 3.5 4 4.5 5<br />

E(eV)<br />

without<br />

annealing<br />

T=50 oC<br />

T=100 oC<br />

T=150 oC<br />

T=200 oC<br />

T=250 oC<br />

T=300 oC<br />

T=350 oC<br />

Fig. (4c): The relationship between the absorption coefficient and incident photon energy for period time of<br />

irradiation (80) hrs at different annealing (20-350) o C for 15 minutes of thermal heating<br />

T = R. T.<br />

2<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

0 20 40 60 80 100<br />

2.4<br />

2<br />

1.6<br />

1.2<br />

0.8<br />

0.4<br />

Period time of iraadiation (hrs)<br />

0<br />

0 20 40 60 80 100<br />

2.8<br />

2.4<br />

2<br />

1.6<br />

1.2<br />

0.8<br />

0.4<br />

T = 100 o C<br />

`<br />

Period time of iraadiation (hrs)<br />

0<br />

0 20 40 60 80 100<br />

2.8<br />

2.4<br />

2<br />

1.6<br />

1.2<br />

0.8<br />

0.4<br />

T = 200 o C<br />

`<br />

Period time of iraadiation (hrs)<br />

T = 300 o C<br />

`<br />

0<br />

0 20 40 60 80 100<br />

Period time of iraadiation (hrs)<br />

Eg (eV)<br />

Eg (eV)<br />

Eg (eV)<br />

Eg (eV)<br />

0<br />

0 20 40 60 80 100<br />

Fig. (5): The relationship between the energy gap (Eg) and period time of irradiation<br />

2<br />

1.5<br />

1<br />

0.5<br />

2.8<br />

2.4<br />

2<br />

1.6<br />

1.2<br />

0.8<br />

0.4<br />

T = 50 o C<br />

Period time of iraadiation (hrs)<br />

T = 150 o C<br />

`<br />

0<br />

0 20 40 60 80 100<br />

2.8<br />

2.4<br />

2<br />

1.6<br />

1.2<br />

0.8<br />

0.4<br />

Period time of iraadiation (hrs)<br />

T = 250 o C<br />

`<br />

0<br />

0 20 40 60 80 100<br />

2.8<br />

2.4<br />

2<br />

1.6<br />

1.2<br />

0.8<br />

0.4<br />

Period time of iraadiation (hrs)<br />

T = 350 o C<br />

`<br />

0<br />

0 20 40 60 80 100<br />

Period time of iraadiation (hrs)<br />

511


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

Eg (eV)<br />

Eg (eV)<br />

Eg (eV)<br />

Eg (eV)<br />

511<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

tirrad. = 10 hrs<br />

y = 0.391Ln(x) + 0.3468<br />

R 2 = 0.989<br />

0<br />

0 50 100 150 200 250 300 350 400<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

T o C<br />

y = 0.4633Ln(x) - 0.1655<br />

R 2 = 0.8896<br />

0<br />

0 50 100 150 200 250 300 350 400<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

tirrad. = 30 hrs<br />

T o C<br />

y = 0.6315Ln(x) - 1.0124<br />

R 2 = 0.942<br />

0<br />

0 50 100 150 200 250 300 350 400<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

tirrad. = 50 hrs<br />

T o C<br />

tirrad. = 80 hrs<br />

y = 0.5549Ln(x) - 0.5057<br />

R 2 = 0.9677<br />

0<br />

0 50 100 150 200 250 300 350 400<br />

T o C<br />

y = 0.3882Ln(x) + 0.2792<br />

R 2 = 0.9241<br />

0<br />

0 50 100 150 200 250 300 350 400<br />

Fig. (6): The relationship between the energy gap Eg (eV) and annealing T o C<br />

Eg (eV)<br />

Eg (eV)<br />

Eg (eV)<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

tirrad. = 20 hrs<br />

T o C<br />

tirrad. = 40 hrs<br />

y = 0.4718Ln(x) - 0.3853<br />

R 2 = 0.9025<br />

0<br />

0 50 100 150 200 250 300 350 400<br />

3<br />

2.5<br />

2<br />

1.5<br />

1<br />

0.5<br />

T o C<br />

tirrad. = 70 hrs<br />

y = 0.5588Ln(x) - 0.6673<br />

R 2 = 0.9196<br />

0<br />

0 50 100 150 200 250 300 350 400<br />

T o C


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

6- CONCLUSIONS<br />

1. There is a change in the color of glass (or<br />

darkness) as a result if gamma-ray irradiation.<br />

The darkness increase with the increase of<br />

irradiation and decrease with heating.<br />

2. Absorption coefficient of the glass increase<br />

with increasing time of irradiation and decreases<br />

with increasing heating.<br />

3. Energy gap decrease and then increases with<br />

time of irradiation and increases with<br />

temperature heating.<br />

4. Glass can be used as a measure of radiation<br />

dose of gamma rays<br />

REFERENCES<br />

-Al Ameli M. A. (1988).The Physics Properties Study of<br />

the Glass Used in Treatment of Nuclear Waste.<br />

M.Sc. thesis submitted to Council of College of<br />

Science. University of Baghdad.<br />

-Al Sadoon S. H. (2004). Using Glass and Polymer in a<br />

measurement of radiation dose for gamma ray.<br />

M.Sc. thesis submitted to Council of College of<br />

Education. University of Mosul.<br />

-Baccaro S., Monika, Sharma G., Thind K.S., and Singh<br />

D.P. (2008). Variation of optical band gap with<br />

radiation dose in PbO–B2O3 glasses. Nuclear<br />

Instruments and Methods in Physics Research<br />

Section B: Beam Interactions with Materials and<br />

Atoms, V. 266, Issue 4, P.594-598.<br />

-Brekhovaskish S.M. (1959). Resistance of Industrial<br />

Glasses to the Action of Radioactive Radiations.<br />

Proceeding of the 3rd All-Union Conference on the<br />

Glassy State, Vol. 2, P. 314, USSR.<br />

-Burns W.G. et al (1982). Effects of Radiation on the Leach<br />

Rates of Vitrified Radioactive Waste. Journal of<br />

Nuclear Materials, 107(245-270).<br />

-Ernisse E.P., Norris G.B. (1974). Introduction Rates and<br />

Annealing of Defects in Ion-Implanted SiO Layers<br />

on Si. Journal of Applied Physics, Vol. 45, No. 12.<br />

-Friebele E.J., Griscom D.L. and Marrone M.J. (1985). The<br />

Optical Absorption and Luminescence Bands Near<br />

2eV in Irradiated and Drawn Synthetic Silica.<br />

Journal of Non-Crystalline Solids, 71:133-144.<br />

-Ghoneim N. A., Moustaffa F. A., Zahran A. H., Ezz El din<br />

F. M. (2006). Gamma-Ray Interaction with Lead<br />

Borate and Lead Silicate Glasses Containing<br />

Manganese. Journal of the American Ceramic<br />

Society, V. 66, Issue 6, P. 447-451.<br />

-Herman Cember (1969). Introduction to Health Physics.<br />

Northwestern University.<br />

-Holbert K. E. (1995). Radiation Effects and Damage, from<br />

http://holbert.faculty.asu.edu/eee560/<br />

RadiationEffectsDamage.pdf<br />

-Maged A. F., Amin G. A. M., Semary M.and Borham E.<br />

(2009). Some physical properties of Se0.8Te0.2<br />

amorphous chalcogenide system. Journal of Non-<br />

Oxide Glasses, V. 1, No. 1, P. 53-60.<br />

-Norgett M.J. Robinson, M.T. and Torrens I.M. (1975). A<br />

Proposed Method of Calculating Displacement<br />

Dose Rates. Nuclear engineering and Design,<br />

33(50-54).<br />

-Norris G.B., Ernisse E.P. (1974). Ionization Dilation<br />

Effects in Fused Silica from 2 to 18 KeV Electron<br />

Irradiation. Journal of Applied Physics, Vol. 54,<br />

No. 9.<br />

-Patel S. B. (2006). Nuclear physics: An Introduction. New<br />

Age International, India.<br />

-Pye L.D., Stevens H.J. and LaCourse W.C. (1972).<br />

Introduction to Glass Science. New York.<br />

-Sharaf El-Deen L.M., Al-Salhi M.S.and Elkholy M.M.<br />

(2008). Radiation induced color centers in 50PbO–<br />

50P2O5 glass. Journal of Non-Crystalline Solids,<br />

V. 354, Issues 52-54, P. 5453-5458.<br />

-Sharma G., Thind K.S., Manupriya, Klare H.S., Narang<br />

S.B., Gerward L.and Dangwal V.K. (2006). Effects<br />

of gamma-ray irradiation on optical properties of<br />

ZnO–PbO–B2O3 glasses. Nuclear Instruments and<br />

Methods in Physics Research Section B: Beam<br />

Interactions with Materials and Atoms, V.243, P.<br />

345-348.<br />

-Soulignac J.C., Lamotte M. (1987). A UV-VIS<br />

Spectrophotometer for Absorbance Measurements<br />

of Weakly Transparent Light Scattering Samples.<br />

Applied Spectroscopy, V.41, P.1101-1261.<br />

-Tauc J., Grigorovici R. and Vancu A. (1966), Optical<br />

Properties and Electronic Structure of Amorphous<br />

Germanium. Phys. Stat., Sol.15, P.627.<br />

-Tittel F., Kamel N. (1967). Radiation Effects in Glass<br />

Lasers. Interaction of Radiation with Solids,<br />

Bishay, P. 261.<br />

-Urbano A., Scarminio J.& Gardes B. (1999). The Beer-<br />

Lambert law for electrochromic tungsten oxide thin<br />

films. Materials Chemistry and Physics, V. 61, P.<br />

143-146<br />

-Wong S. M. (1998). Introductory Nuclear Physics. 2nd<br />

Edition, John Wiley and Sons, USA.<br />

-Yamamoto T., Sakka S.and Tashiro M. (1969). Effect of<br />

pressure on radiation-induced color centers in<br />

silicate glasses. Journal of Non-Crystalline Solids,<br />

V. 1, Issue 6, P. 441-454.<br />

-Yin Cheng, Hanning Xiao, Wenming Guo and Weiming<br />

Guo(2007). Structure and crystallization kinetics of<br />

PbO–B2O3 glasses. Ceramic International, V. 33,<br />

Issue.7, P. 1341-1347.<br />

-Yuwen Ou, Stefania Baccaro, Yaping Zhang, Yunxia<br />

Yang and Guorong Chen(2009). Effect of Gamma-<br />

Ray Irradiation on the Optical Properties of PbO–<br />

B2O3–SiO2 and Bi2O3–B2O3–SiO2 Glasses.<br />

Journal of the American Ceramic Society. V. 93,<br />

Issue.2, P. 338-341.<br />

511


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 165-176, 2011<br />

516<br />

َىشيوش اي ىةشوو ايايلااظ زةطل َىنسك مزةطو اماط اكشيت انسكَيتزاك<br />

َىشيوش ايةشوو ايتلااظو َىهيرلمةي ةكلوكظةي زةطل َىيتامزةط ايزةض<br />

ةزاضو اماط اكشيت انسكَيتزاك ادَيهيلوكةظ َىظد<br />

،001<br />

،011<br />

،01<br />

،01(<br />

وَيلث وب َىيتامزةطب ىسكةلةمامو تعةض ) 01 ،01<br />

،01<br />

،01<br />

،01<br />

،01<br />

،01(<br />

ب َىنادكشيت َىمةد انسكةدَيش ب ووبد ةديش َىهيرلمةي َىكلوكظةي وك<br />

ب ووبد مَيك يةشوو ايلااظ وك ووبزايد اضةوزةي<br />

.<br />

ةتخوث<br />

َىناداكشيت وَيمةد وب<br />

وبزايد اديتيلوكةظ َىظد ) 001 ،011<br />

،001<br />

،011<br />

َىيتاموةط وَيلب انسكةدَيش ب ووبد مَيك ويرلمةيو َىياماط اكشيت<br />

َىتامزةط ب ىسكةلةمام وك ووبزايد اضةوزةي ، َىنادكشيت َىمةدل سكزاموت تضائ ويترمصنو َىنادكشيت َىمةد انسكةدَيش<br />

انووضكَيت وب ةتيسظشد اد َىةشوو ايلااظد ىووبةدَيشو ىووب مَيك ظةئ . ىةشيوش اي َىةشوو ايلااظ انووبدَيش َىزةطةئ ةتيبد<br />

َىتفةك انووضكَيت انسككاض ىزةطةئ ووبد مزةط َلىةب ، زةطب َىنادكشيت انسكَيتزام َىزةطةئ ذ ىةشيوش اتاًكَيث<br />

جاجزلل ةقاطلا ةوجف ىلع نيخستلاو اماك ةعشأ ريثأت<br />

. اد ىةشيوش اتاًكَيبدةي<br />

ةنمزلأو جاجزلل ةقاطلا ةوجفو صاصتملاا لماعم ىلع ةيرارحلا ةجلاعملاو اماك ةعشأ ريثأت ةسارد ثحبلا اذه يف نمضتي<br />

ثيح ،<br />

(20, 50, 100, 150, 200, 250, 300, 350) o C<br />

ةرارح تاجردو<br />

(10, 20, 30, 40, 50, 70, 80) hrs<br />

ةصلاخلا<br />

ةوجف ميق اندجوأ امك ، ةرارحلا تاجرد ةدايزب ةيصاصتملاا هذه لقتو اماك ةعشأ ةدايزب دادزت صاصتملاا لماعم نا اندجو<br />

دنع دادزت كلذ دعبو<br />

40-50 hrs<br />

عيعشت<br />

عيعشت نمز نيب ام يأ عيعشتلا نمز ةدايزب لقت ةقاطلا ةوجف ميق نأ دجوو ، ةقاطلا<br />

يف ناصقنلاو ةدايزلا هذه ، جاجزلل ةقاطلا ةوجف ميق ةدايزب موقت ةيرارحلا ةجلاعملا نأ دجو نيح يف ، عيعشتلا نمز ةدايز<br />

.<br />

فلتلا حلاصإ ةيلمعب موقي نيخستلا نأ نيح يف اهيلع عاعشلإا طيلست ةجيتن فلتلا وه اهببس ةقاطلا ةوجف ميق


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 177-185, 2011<br />

EFFECT OF LONG-TERM ADMINISTRATION OF MELATONIN, VITAMIN<br />

E, VITAMIN C AND THEIR COMBINATIONS ON SOME LIPID PROFILES<br />

AND RENAL FUNCTION TESTS IN RATS EXPOSED TO LEAD TOXICITY<br />

ALMAS M.R. MAHMUD<br />

Dept. of Biology, College of Science, University of Salahaddin, Kurdistan Region- Iraq<br />

(Received: October 16, 2010; Accepted for publication: February 27, 2011)<br />

ABSTRACT<br />

Lead (Pb) is a natural element and widespread in the environment. Lead poisoning affect numerous organ<br />

systems. This study was carried out to investigate long-term administration of melatonin, vitamin C, vitamin E and<br />

their combinations, on some serum biochemical parameters in Pb-induced toxicity. Fifty-four female albino rats were<br />

used in this study. Animals were divided into nine groups. The groups are: control, sodium acetate (0.1mg/L drinking<br />

water), Pb-acetate (0.1 mg/L in drinking water), Pb-acetae+melatonin (60 mg of melatonin/Kg diet), Pbacetate+vitamin<br />

E (1000 IU of vitamin E/Kg diet), Pb-acetae+vitamin C (1mg of vitamin C/ L in drinking water),<br />

combinations: Pb-acetae+melatonin+vitamin E, Pb-acetae+melatonin+vitamin C, and Pb-acetate+vitamin E+vitamin<br />

C. Results show significant increases in serum total cholesterol (TC) and triacylglycerol (TAG) in Pb-acetae group<br />

compared to the control rats. Administration of melatonin, vitamin E, melatonin+vitamin E and vitamins C+E<br />

combinations caused significant reductions in serum TC and TAG, while, serum total protein increased significantly<br />

in melatonin and melatonin+vitamin E groups compared with Pb-acetate treated rats. Serum creatinine, urea and<br />

uric acid exhibited significant increases in Pb-acetae treated rats in comparision with controls. On the other hand,<br />

melatonin, melatonin+vitamin E combination decreased serum creatinine, urea, uric acid, and total bilirubin in<br />

comparision with Pb-acetate treated rats. In conclusion, long-term lead treated rats exhibited marked elevation of<br />

serum TC,TAG, creatinine, urea, uric acid and total bilirubin levels. Most of these abnormal changes were<br />

ameliorated with melatonin+ vitamin E combination much more than with melatonin, vitamin E or C alone or<br />

vitamins E and C in combination.<br />

KEYWORDS: Melatonin, vitamin E, vitamin C, lipid profile, renal function tests, lead toxicity<br />

L<br />

INTRODUCTION<br />

ead is a toxic, heavy metal widely<br />

distributed in the environment and<br />

chronic exposure to low levels of this agent is a<br />

matter of public concern in many countries.<br />

Lead is frequently found in air, drinking water,<br />

soil, and industrial by-products. It is also found<br />

in lead-associated work place such as smelting,<br />

battery manufacture, stained glass industrial, and<br />

lead-based paint production (Vaglenov et al.,<br />

2001). Lead poisoning may affect numerous<br />

organ systems and is associated with a number<br />

of morphological, biochemical and physiological<br />

changes, including cardiovascular, kidney<br />

dysfunction and impairment of liver function<br />

(Ghorbe et al., 2001).<br />

Microscopic analysis of lead-intoxicated animals<br />

has indicated fatty degeneration of the<br />

myocardium and sclerotic changes in the aortic<br />

and walls of the small arteries especially the<br />

renal, cerebral and coronary arteries (Yokoyama<br />

et al., 2000) and atrophy of elastic fibers in the<br />

aorta (Al-Ashmawy et al., 2005).<br />

Renal functions are altered upon lead<br />

exposure, serum urea and creatinine also<br />

increased in mice after oral administration of<br />

lead acetate in the diet and in rats after chronic<br />

lead exposure (Al-Ashmawy et al., 2005).<br />

In the liver tissues, lead is known to produce<br />

oxidative damage by enhancing peroxidation of<br />

membrane lipids (Chaurasia and Kar, 1997) a<br />

deleterious process solely carried out by free<br />

radicals (Halliwell et al., 1990).<br />

Melatonin, the main secretary product of the<br />

pineal gland, is known to be a powerful<br />

antioxidant with its high free radical scavenging<br />

activity and it has been reported to be more<br />

efficient than vitamin E in scavenging peroxy<br />

radicals (Karbownik and Reiter, 2001; Bettahi et<br />

al.,1996). Melatonin also augments production<br />

and regeneration of glutathione, one of the major<br />

intracellular antioxidant molecules, besides,<br />

melatonin increases the activity of catalase and<br />

catalyzes the formation of nitric oxide synthase<br />

which catalyzes the formation of nitric oxide<br />

(NO) (Wakatsuki and Okatani Y,2000).<br />

Vitamin C exerts its physiological function<br />

mainly through oxido-reduction (Wintergerst et<br />

al.,2006). Vitamin E (α-tocopherol) which is an<br />

important chain-breaking antioxidant in the lipid<br />

phase of different cell membranes (Al-Ashmawy<br />

et al., 2005). It scavenges peroxy radicals by<br />

donating to them the phenolic hydrogen. In<br />

addition, it is highly reactive toward singlet<br />

177


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 177-185, 2011<br />

oxygen (Chaurasia and Kar, 1997). Considering<br />

the antioxidant properties of melatonin, vitamins<br />

C and E, the present study was undertaken to<br />

investigate the effects of long-term<br />

administration of melatonin, vitamin E, vitamin<br />

C and their combinations on some lipid profiles<br />

and renal function tests in rats exposed to lead<br />

toxicity.<br />

178<br />

MATERIALS AND METHODS<br />

Animals and housing<br />

Fifty four adult female albino rats (Rattus<br />

norvigicus) weighting initially 240-280 g were<br />

included in this study. Rats were obtained from<br />

the Animal House of Biology Department-<br />

College of Science/University of Salahaddin-<br />

Erbil/Iraq and maintained at 22 ± 2 ºC under a<br />

photoperiod of 12:12-h light-dark cycle. All<br />

animals had free access to tap water and standard<br />

rat chow.<br />

Experimental design<br />

This experiment was designed to determine<br />

the effects of melatonin, vitamin E, vitamin C,<br />

and their combinations on serum TC, TAG, total<br />

protein, creatinine, urea, uric acid and total<br />

bilirubin in rats treated with lead acetate. The<br />

experimental rats were divided into nine groups,<br />

each of six individuals and the treatments were<br />

continued for 10 weeks as follow:<br />

Group1: Control. The rats were given standard<br />

rat chow and tap water ad libitum.<br />

Group 2: Sodium acetate. The rats were given<br />

standard rat chow and sodium acetate at a dose<br />

of 0.1 mg/L drinking water.<br />

Group 3: Lead acetate. The rats were given<br />

standard rat chow and lead acetate at a dose of<br />

0.1 mg/L drinking water.<br />

Group 4: Lead acetate + Melatonin. The rats<br />

were supplied with standard rat chow contain<br />

melatonin (60 mg/kg diet) and Pb acetate (0.1<br />

mg/L drinking water).<br />

Group 5: Lead acetate + Vitamin E. the rats<br />

were supplied with standard rat chow contain<br />

vitamin E (1000 I.U/kg diet) and Pb acetate (0.1<br />

mg/L drinking water).<br />

Group 6: Lead acetate+Vitamin C. The rats<br />

were given standard rat chow and Pb acetate at a<br />

dose of 0.1 mg/ L drinking water and vitamin C<br />

at a dose of 1mg/L drinking water.<br />

Group 7: Lead acetate + Melatonin + Vitamin<br />

E. The rats were supplied with standard rat chow<br />

contain melatonin (60 mg/kg diet) and vitamin E<br />

(1000 I.U /kg diet), Pb acetate (0.1 mg/L<br />

drinking water).<br />

Group 8: Lead acetate + Melatonin + Vitamin<br />

C. The rats were supplied with standard rat chow<br />

with melatonin (60 mg/kg diet), Pb acetate at a<br />

dose of 0.1 mg/L drinking water.<br />

Group 9: Lead acetate + Vitamin E + Vitamin<br />

C. The rats were supplied with standard rat chow<br />

contain vitamin E (1000 I.U/kg diet), vitamin C<br />

(1 mg/L drinking water) and Pb acetate (0.1<br />

mg/L drinking water).<br />

Collection of blood samples<br />

At the end of the experiment, the rats were<br />

anesthetized with ketamine hydrochloride (50<br />

mg/kg body weight). Blood samples were taken<br />

by cardiac puncture into chilled tubes and<br />

centrifuged at 3000 rpm for 20 minutes; then<br />

sera were stored at -85 ºC until assay.<br />

Biochemical determination<br />

Serum TC, TGA, total protein, ceratinine,<br />

urea, uric acid and total bilirubin were<br />

determined by enzymatic and colorimetric<br />

methods (Biolabo reagents, France).<br />

Statistical analysis<br />

All data were expressed as mean ± standard<br />

error (SE) and statistical analysis was carried out<br />

using available soft ware (SPSS version 15).<br />

Data analysis was made using one-way analysis<br />

of variance (ANOVA). The comparisons among<br />

groups were done using Duncan post hoc<br />

analysis. P values < 0.05 were considered as<br />

significant.<br />

RESULTS<br />

As shown in Table (1), serum TC (mg/dl)<br />

increased significantly (P< 0.05) in Pb acetate<br />

group (90.114 ± 5.7025) compared to the control<br />

rats (60.485 ± 2.8548).<br />

Administration of melatonin, vitamin E,<br />

melatonin in combination with vitamin E or<br />

vitamin E in combination with vitamin C caused<br />

significant reductions (P< 0.05) in serum TC<br />

(65.942 ± 3.0039), (65.485 ± 8.0576), (68.200 ±<br />

4.3310) and (67.028 ± 9.8489), respectively,<br />

compared with Pb-acetate group. On the other<br />

hand, vitamin C or melatonin in combination<br />

with vitamin C caused non-significant reductions<br />

in serum TC compared with the Pb acetate<br />

treated rats.<br />

Table (1) shows that serum TAG (mg/dl)<br />

increased significantly (P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 177-185, 2011<br />

in serum TAG (65.818 ± 4.5846), (69.714 ±<br />

7.4733), (64.976 ± 7.0014) and (60.727 ±<br />

8.3543) respectively as compared with the lead<br />

acetate group.<br />

Table(1):- Effects of melatonin, vitamin E, vitamin C and their combinations on some serum lipid profiles<br />

and total protein in lead treated rats<br />

Treatments Serum total<br />

cholesterol<br />

( mg/dl)<br />

Parameters<br />

Serum triacylglycerol<br />

(mg/dl)<br />

Serum total protein<br />

(gm/dl)<br />

Control 60.485±2.8548 a 68.597±5.6391 a 6.3552±0.2372 ab<br />

Sodium acetate 66.857±3.5398 a 63.750±7.3428 a 5.0928±0.3264 a<br />

Pb-acetate 90.114±5.7025 b 95.480±4.5514 b 5.3808±0.1373 a<br />

Pb-acetate + Mel 65.942±3.0039 a 65.818±4.5846 a 8.8272±2.5387 b<br />

Pb-acetate + Vit E 65.485±8.0576 a 69.714±7.4733 a 7.0224±0.7045 ab<br />

Pb-acetate + Vit C 75.714±7.7084 ab 77.142±4.3579 ab 5.1744±0.1445 a<br />

Pb-acetate+Mel +Vit E 68.200±4.3310 a 64.976±7.0014 a 8.6064±0.2102 b<br />

Pb-acetate+ Mel +Vit C 74.457±6.6563 ab 76.005±7.4016 ab 5.5056±0.1291 a<br />

Pb-acetate +Vit E +Vit<br />

C<br />

67.028±9.8489 a 60.727±8.3543 a 4.8144±0.2682 a<br />

Similar letters indicate no significant difference. Pb=lead<br />

Different letters indicate significant difference at P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 177-185, 2011<br />

Table (2):- Effects of melatonin, vitamin E, vitamin C and their combinations on some renal function tests in<br />

lead treated rats.<br />

180<br />

Treatments Serum<br />

creatinine<br />

(mg/dl)<br />

Serum urea<br />

(mg/dl)<br />

Prameters<br />

Serum uric acid<br />

( mg/dl)<br />

Serum total<br />

bilirubin ( mg/dl)<br />

Control 0.480±0.1323 ab 20.309±1.9380 ab 1.241±0.0852 a 0.385±0.0765 ab<br />

Sodium acetate 0.300±0.0774 a 23.163±1.9315 abc 2.191±0.4627 ab 0.592±0.0815 bc<br />

Pb-acetate 0.733±0.0471 b 34.963±0.6163 d 4.865±0.7307 c 0.583±0.0565 bc<br />

Pb-acetate + Mel 0.426±0.1087 a 17.181±1.8521 a 2.934±0.1130 b 0.446±0.0975 abc<br />

Pb-acetate + Vit E 0.493±0.0805 ab 27.890±2.8675 bcd 2.483±0.3442 ab 0.517±0.0479 abc<br />

Pb-acetate + Vit C 0.500±0.1125 ab 29.272±2.2180 cd 2.560±0.1964 b 0.604±0.0734 bc<br />

Pb-acetate+Mel +Vit E 0.346±0.0679 a 22.763±2.2848 abc 2.121±0.2576 ab 0.364±0.0563 a<br />

Pb-acetate+ Mel +Vit C 0.380±0.0800 a 26.981±2.5006 bc 2.228±0.2726 ab 0.643±0.0481 c<br />

Pb-acetate +Vit E +Vit C 0.460±0.0266 ab 25.563±4.1510 bc 2.192±0.6017 ab 0.519±0.0469 abc<br />

Similar letters indicate no significant difference. Pb=lead<br />

Different letters indicate significant difference at P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 177-185, 2011<br />

or indirectly by regenerating vitamin E. It has<br />

been reported that vitamin C may protect lowdensity<br />

lipoproteins (Jialal et al.,1991) and<br />

plasma lipids against free-radical-mediated<br />

oxidation. Previous data have indicated that<br />

vitamin C deficiency increased CCl4- induced<br />

lipid peroxidation in vivo in guinea pigs and that<br />

vitamin C supplementation decreases lipid<br />

peroxidation in vivo in rats that have an iron<br />

overload (Harri, 1992). In man, it has been<br />

reported that people with low vitamin C levels<br />

have high amounts of lipid peroxides in plasma.<br />

Accordingly, vitamin C could also affect<br />

cholesterol metabolism through the antioxidant<br />

effect (Rath and Pauling, 1991). On the other<br />

hand, Sokoloff et al.,1966 suggested that effects<br />

of vitamin C on plasma levels of triglyceride<br />

may return to its effect on lipoprotein. Vitamin C<br />

also affects fatty acids metabolism through its<br />

effect on the transport of long-chain fatty acids<br />

into mitochondria. Therefore, the effects of<br />

melatonin, vitamin E or melatonin in<br />

combination with vitamin E and vitamin E with<br />

C combination may due to the antioxidant<br />

properties of the three and to the effect of<br />

vitamin C on the metabolism of lipoprotein<br />

(A) which has been proven to be linked<br />

with atherosclerosis (Mbewu and<br />

Durrington, 1990).<br />

Adminstration of melatonin and melatonin in<br />

combination with vitamin E caused significant<br />

increases in serum total protein compared to the<br />

Pb-acetate group. Melatonin adminstration<br />

releases growth hormone both in rats and man<br />

(Forsling et al.,1999). Furtheremore, Lima et<br />

al.,(2001) showed that melatonin, in addition to<br />

acting on tissue sensitivity to insulin, affects the<br />

secretory action of beta cells.<br />

Table (2) shows that serum creatinine and<br />

total bilirubin increased non-significantly, while<br />

serum urea and uric acid increased significantly<br />

in Pb acetate treated rats compared with the<br />

control animals. The observed increase in serum<br />

urea after Pb acetate administration is consistent<br />

with those reported by Hassan and Jassim,<br />

(2010); Wojtchak-Jaroszowa and Kubow,<br />

(1989). Also, elevation in uric acid is reported<br />

by McBride et al., (1998). The increase in uric<br />

acid concentration may be due to degradation of<br />

purines or to an increase of uric acid levels by<br />

either overproduction or inability of excretion<br />

(Wolf et al.,1972).<br />

Administration of melatonin, combination of<br />

melatonin with vitamin E and melatonin with<br />

vitamin C decreased significantly serum<br />

creatinine, urea and uric acid. In addition serum<br />

uric acid decreased significantly in combination<br />

of melatonin with vitamin E and vitamin E with<br />

vitamin C groups and serum total bilirubin only<br />

in melatonin with vitamin E combination as<br />

compared with the Pb acetate treated rats. The<br />

mechanism of improvement may be in part due<br />

to the melatonin’s antioxidative actions that<br />

reduces tissue damage (Darwish, 2007). Song et<br />

al,1997 concluded that the presence of melatonin<br />

receptors in proximate tubules suggests that it<br />

plays a significant role in mediating the renal<br />

action of melatonin.<br />

Vitamin C and E when used in combination<br />

or used in combination with melatonin decreased<br />

or affected the renal function tests: urea, uric<br />

acid and creatinine. Antioxidants are frequently<br />

used for different diseases e.g diabetes and their<br />

complicattions. Plasma vitamin C and E<br />

concentrations are reduced in diabetes (Murugan<br />

and Pari, 2006). Vitamin C plays a central role<br />

in the antioxidant protective system, protecting<br />

all lipids undergoing oxidation and diminishing<br />

the number of apoptotic cells (Sadi et al., 2008).<br />

Furthermore, vitamin C regenerates the oxidized<br />

vitamin E. Vitamin E, on the other hand, acts as<br />

a non-enzymatic antioxidant and reduces lipid<br />

peroxidation and glutathione (Lee et al., 2007).<br />

Therefore, in this study, these two vitamins<br />

through their antioxidant properties with<br />

melatonin could decrease serum urea, uric acid<br />

and creatinine in Pb acetate treated rats.<br />

Results show a non-significant increase in<br />

serum total bilirubin in Pb-acetate group<br />

compared to the control, while, it was decreased<br />

significantly (P


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 177-185, 2011<br />

improves serum enzymes most likely is through<br />

its free radical scavenger effects, and its action<br />

on stabilizing cell membranes which assists<br />

them in reducing oxidative damage (Lena and<br />

Subramani, 2003). Additionally, Pedreanez et<br />

al., (2004) concluded that melatonin has antiapoptotic<br />

effects in part independent of the<br />

modulation of the oxidative damage.<br />

On the other hand, vitamin E acting as an<br />

antioxidant may increase the half life of<br />

melatonin because it scavenges different types of<br />

free radicals helping by melatonin to maintain its<br />

own structure without scavenging free radicals.<br />

Melatonin does not undergo redox cycling and,<br />

thus, does not promote oxidation as shown under<br />

a variety of experimental conditions. From this<br />

point of view, melatonin can be considered as a<br />

terminal antioxidant which distinguishes it from<br />

the apportunistic antioxidants like vitamins C<br />

and E.<br />

In conclusion, oral exposure of Pb-acetate<br />

caused alterations in serum lipid profiles and<br />

renal function tests and the results indicate that<br />

melatonin and vitamin E could be protective<br />

agents against Pb-toxicity in rats, most likely<br />

through their antioxidant and free radical<br />

scavenger effects.<br />

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ةميضزوط ىٌاوسف ىٌاكةتسَيت ةو ىزوةض ىكَيزؤج دٌةض زةسةل ُايٌادةوةكَيث ةو C ينواتيظ ،E<br />

184<br />

يشوقزوق ةب واسكيواسِةذ<br />

ىجزوج ةل<br />

ينواتيظ ،ينٌوتلايو ىَلؤز<br />

يشوقزوق ىةدداو ةب ُووب ىواسِةذ . ةيةِ ادةطٍيذ ةل ُاواسفزةب ىكةيةوَيش ةب ةو ةيتشوسس ىكةيةدداو يشوقزوق<br />

ىزةةطيزاك ىٍيٍكشث ةيةوةٍيرَيوت ًةل تسةبةو . تَيبةِ شةل ىٌاكةوادٌةئ ةل كيزؤش زةسةل ىزةطيزاك<br />

ة ة ل ك َي د ة ٌ ة ِ ز ة ة س ة ل ُ ا ي ٌ د س ك َل ة ة ك َي ت ة ة ب و ا ي ٌ ة ة ت E ةينواةتيظ ة ب ،<br />

C<br />

ةتخوث<br />

ةيةٌاوةل<br />

ينواتيظ و ينٌؤتلايو ةل كةيزةِ ىٌةياخرَيزد<br />

ىجزوج زاوض وانجةث . يشوقزوق ىةدداو ةب واسكىواسِةذ<br />

ىجزوج ةل ََيوخ ىوادزةش ةل ىٌايذ ىايىيك ىٌاكةزةتيوازاث<br />

ثوسط شةش زةِ ،شاوايج ىثوسط ؤٌ ؤب ُاسك شةباد ُاكةووتاِزاكةب ةجزوج تاِزاكةب ادةوةٍيرَيوت ًةل ىجس ىةيَيو<br />

ًةوود ىةثوسط ،)<br />

هؤِترٌؤك ىجزوج(<br />

ًةكةي ىثوسط : ةوةزاوخ ىةٌاوةئ وكةو ةتفةِ<br />

01<br />

ىةواو ؤب كَيجزوج زةِ ؤب<br />

ىواةئ ترل / يطمو 1.0()<br />

يشوقزوق ىتاتيسةئ(<br />

ًةيئس ىثوسط ،)<br />

ةوةٌدزاوخ ىوائ ترل/<br />

يطمو 1.0(<br />

) ًؤيدؤس ىتاتيسةئ(<br />

ًةةحٍَيث ىةثوسط ،)<br />

كازؤةخ يةطك / ينٌؤةتلايو ةل يطمو 01(<br />

) ينٌؤتلايو + يشوقزوق(<br />

ًةزاوض ىثوسط ،)<br />

ةوةٌدزاوخ<br />

يطمو 0(<br />

) C ينواتيظ + يشوقزوق(<br />

ًةشةش ىثوسط ،)<br />

كازؤخ يطك / E ينواتيظ ةل شةب 0111(<br />

E ينواتيظ + يشوقزوق(<br />

ًةتشةِ ىثوسط ،)<br />

E ينواتيظ + ينٌؤتلايو + يشوقزوق ( ىيةَلةكَيت ًةتوةح ىثوسط ،)<br />

ةوةٌدزاوخ ىوائ ترل / ينواتيظ ةل<br />

.)<br />

C<br />

ينواتيظ +<br />

E<br />

ينواتيظ +<br />

يشوقزوق (<br />

ىيةَلةكَيت ًةيؤٌ ىثوسط ، ) C<br />

ينواتيظ + ينٌؤتلايو + يشوقزوق ( ىةَلةكَيت<br />

ََيوخ ىوادزةش لىؤيرسيمط نياسةئ ىاست و هؤيرتسيلؤك ةل واضزةب ىةوةٌووبشزةب ةب ُةدةد ُاشيٌ او ُاكةوانجةئ<br />

) Eينواتيظ<br />

+ ينٌؤتلايو(<br />

،Eينواتيف<br />

،ينٌؤتلايو ىٌاٍَيِزاكةب<br />

نياةسةئ ىاسةت و هؤترةسيلؤك ةةل واةضزةب ىةوةةٌدسك<br />

ًةك ىؤِ ةووب ىيةَلةكَيت ةب<br />

. هؤترٌؤك ىثوسط َهةط ةل دزوازةب ةب يشوقزوق ىثوسط ةل<br />

)<br />

C ينواتيظ + E ينواتيظ(<br />

ىؤِةةب ،ةوؤبشزةةب واضزةب ىكةيةوَيش ةب ََيوخ ىوادزةش ىتشط ىٍيتؤسث ىةتاك وةل ،ََيوخ ىوادزةش لىؤيرسيمط<br />

و ينٍيتايسك . وازدَيث يشوقزوق ىتاتيسسةئ ىثوسط َهةطةل دزوازةب ةب ىيةَلةكَيت ةب<br />

E<br />

ةو<br />

ينواتيظ + ينٌؤتلايو و ينٌؤتلايو<br />

ةب ووبازدَيث ُايشموقزوق ةك ىةٌاجزوج وةل ةوةتَيببشزةب واضزةب ىكةيةوَيش ةب ةك توةكزةد او كيزوي ىشست<br />

و ايزوي<br />

و ايزوي و ينٍيتايسك ىيةَلةكَيت ةب E ينواتيظ + ينٌؤتلايو ،ينٌؤتلايو ةوةست ىكةيلاةل . هؤترٌؤك يثوسط َهةطةل دزوازةب<br />

ةةل<br />

. يةشوقزوق ةةب وازدةَيث ىجزوج َهةط ةل دزوازةب ةب ةوةدسكوةك<br />

ََيوخ ىوادزةش ةل ينبؤيرميب و كيزوي ىشست<br />

نياسةئ ىاست و هؤيرتسلؤك ىتسائ ىةوةٌووبشزةب ىؤِ ةتَيبةد يشوقزوق ىٌةياخرَيزد ىٌادَيث تَيوةكةدزةد ادوانجةزةد<br />

ىٌادَيث ىؤِةب<br />

ةوةتَيبةد ًةك ةٌاٌوضكَيت ًةئ . ًَيوخ ىوادزةش ةل ىتشط ىٍيبؤيرميب و كيزوي ىشست و ايزوي و هؤيرسيمط<br />

ينواتيظ ُاي اٌّةت ةب ، C ينواتيظ ،E<br />

ينواتيظ ،ينٌؤتلايو ةل ستايش ىكةيةوَيش ةب<br />

E<br />

ينواتيظ َهةطةل ىيةَلةكَيت ةب ينٌؤتلايو<br />

.<br />

ىيةَلةكَيتةب E وC


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 177-185, 2011<br />

ناذرجلا يف ةيلكلا ةفيظو تارابتخاو موحشلا عاونا ضعب ىلع مهتلاخادتو C نيماتيف ،E<br />

صاصرلاب ممستلل ةضرعملا<br />

نيماتيف ،نينوتلايملا ءاطعا ريثأت<br />

صخلملا<br />

ءار عا نرم دريدع ىرلع رثىري نا نركمي صارصرلا ب ارمب ممرستلا نا . ةر يبلا يرف برريكب ررشترم و يرعيبع رر رع صارصرلا رربتعي<br />

و مهرريب خادرتلاو<br />

E نيمارتيف ، C نيمارتيف ،نينورتلايملا ءارطعا ريثأرت ةرفرعمل ورم ةريلاحلا ةر اردلا نرم درهلا نا . مسجلا<br />

و ةرعبرا مدختر ا . صارصرلاب ممرستلا ةثدحترسملا ناذررجلا يرف مدرلا مل ةيئايميكويبلا سيياقملا ضعب ىلع ةليوع بدمل<br />

،برطيرسلا تارناويح : يرم يمارجملا<br />

تاتيرر أ ،)<br />

ررشلا ءاررم ررتل / مررغلم 1.0(<br />

مررغك/<br />

ةرريلو بدررحو 0111(<br />

رريكرتب<br />

+ نينورتلايم + صارصرلا تاتير أ(<br />

: تلاخادرتلا ،)<br />

E<br />

.<br />

يمارجم رست ىرلع تارناويحلا رعزو . ةر اردلا<br />

ريكرتب صاررصرلا تاتير<br />

أ ،)<br />

نيماررتيف + صاررصرلا تاتيرر أ ،)<br />

ررشلا ءام رتل/<br />

مغلم 0(<br />

رررشلا ءارم رررتل / مرغلم0<br />

. 1(<br />

ررلع مررغك/<br />

مررغلم 01(<br />

رم يرف هارنفا نرم اذررر نورسمخ<br />

رريكرتب موي ور لا تاتير أ<br />

رريكرتب نينوررتلايم + صاررصرلا<br />

يكرتب C نيماتيف + صاصرلا تاتي أ ،)<br />

.) C نيماتيف + E نيماتيف + صاصرلا تاتي أ(<br />

ةعومجم و ) C نيماتيف + نينوتلايم + صاصرلا تاتي أ(<br />

،)<br />

E<br />

ب اررمب ةررلماعملا ةررعومجم رر م يررف ةرريثلايلا موحررشلا و يررلكلا وورتررسلوكلا وتررسم يررف ةرريورعم تا ارريز ائاررترلا رررهظت<br />

و<br />

E<br />

نيمارتيف+<br />

نينورتلايم نيرب خادرتلاو<br />

E<br />

نيمارتيف ،نينورتلايملا<br />

ءارطعا ت ا<br />

لع<br />

نيماتيف<br />

. برطيرسلا ةرعومجمب ةرنراقم صارصرلا تلارخ<br />

وتررسم ررلا رر ولا يررف ،ةرريثلايلا موحررشلاو يررلكلا وورترسلوكلا وتررسم يررف ةرريورعم تاررضافخنا ىررلا<br />

ريرويلا ضمارحو اريروي ،نيريتاريركلا وترسم نا<br />

C<br />

+<br />

E<br />

نيمارتيف<br />

. صارصرلا تلارخب ةرلماعملا ةرعومجملا يرف اريورعم ت ا زا ىرلكلا نيتورربلا<br />

ةرلماعملا نارف ررخا ةرهر نرمو . برطيرسلا تارناويحب ةرنراقم صارصرلا تاتير أب ةلماعملا ناذرجلا يف ةيورعم تا ايز ترهظا<br />

نيبورريلبلاو ريرويلا ضمارح ،اريروي ،نيتاريركلا وترسم يرف ايورعم اضافخنا بب اعم<br />

E<br />

نيماتيف + نينوتلايم ،نينوتلايملاب<br />

ب ارمب ةرلماعملا ناذررجلا نأرب ةريلاحلا ة اردلا نم اترتست . صاصرلا تاتي أب ةلماعملا<br />

ناذرجلاب ةنراقم ملا يف يلكلا<br />

اررريرويلاو نيريتاررريركلاو ةررريثلايلا موحرررشلاو يرررلكلا وورترررسلوكلا وترررسم يرررف ةرررظوحلم ب اررريز تررررهظا ةرررليوع بدرررمل صارررصرلا<br />

ةررريعيبطلا ارررهتلاح ىررلا ت ارررع تارررريغتلا<br />

ررم مرررظعم نا<br />

دررح ىررلع ررك C<br />

نيماررتيف ،<br />

E<br />

نيماررتيف ،نينوررتلايم ءاررطعا يررف ررريكا<br />

. مدرررلا ررر م يررف يرررلكلا نيبورررريلبلا وتررسمو ررريرويلا ضماررح و<br />

اررعم<br />

E<br />

نيماررتيف<br />

+<br />

نينوررتلايم ءاررطعا ةطرر اوب<br />

.<br />

اعم Cو<br />

Eتاريماتيفلا<br />

وا<br />

185


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 186-190, 2011<br />

Hyalomma aegyptium AS A DOMINANT TICK ON CERTAIN TORTOISES<br />

OF THE Testudo graeca IN ERBIL PROVINCE-KURDISTAN REGION-IRAQ<br />

186<br />

QARAMAN MAMAKHIDR KOYEE<br />

Dept. of Biology, College of Science, University of Salahaddin, Kurdistan Region-Iraq<br />

(Received: October 30, 2010; Accepted for publication: June 4, 2011)<br />

ABSTRACT<br />

Ticks are obligatory blood-sucking arachnid arthropods infecting mammals, birds, reptiles and amphibians.<br />

Hyalomma aegyptium parasites tortoises and other animals. The main objective of the current study was to determine<br />

and identify prevalence of ticks on certain tortoises in Erbil province-Kurdistan Region, Iraq. The study was carried<br />

out over a four months period from the beginning of March to the beginning of July 2010. A total of 18 tortoises were<br />

sampled from certain places of Erbil province (Koya, Bastora, Kalak and Graw). The captured tortoises were<br />

inspected closely for the presence of ticks with naked eyes, magnifying lens, dissecting microscope and light<br />

microscope. And also, sites of tick attachment were recorded. Out of 18 examined tortoises, 14 of them were infested<br />

with ticks. A total of 123 ticks were collected from infested tortoises. The infestation rates and mean intensity of male<br />

and female tortoises was 75%, 80% and 9.5, 8.25 respectively. According to the gender of the isolated ticks, male ticks<br />

(71) were found from more tortoises than were females (52). Ticks were attached to the neck and axilla of fore and<br />

hind legs of tortoises. All ticks were determined to be H. aegyptium, it was considered as a first record on the tortoises<br />

in Kurdistan Region.<br />

KEYWORDS: Hyalomma aegyptium, Ticks, Tortoises, Kurdistan Region-Ebil-Iraq<br />

M<br />

INTRODUCTION<br />

any species of reptiles are prevalent in<br />

the Iraqi ecosystems. Which include<br />

many categories like lizards, snakes, tortoises<br />

and turtles. However, very little attention has<br />

been paid by Iraqi and non-Iraqi biologists to the<br />

parasites of any group of them (Al-Barwari and<br />

Saeed, 2007).<br />

Testudo graeca Linnaeus 1758, or the<br />

spurthighed tortoise, is an endangered species<br />

with a broad distribution range. It can be found<br />

in northern Africa (e.g. Morocco, Algeria,<br />

Tunisia and Libya), the Middle East (e.g.<br />

Lebanon, Jordan, Syria, and Iraq), Europe<br />

(Bulgaria, Romania, Turkey, Greece, and<br />

multiple introductions into Spain and Greece),<br />

and in Asia (e.g. Armenia, Azerbaijan, Georgia,<br />

Turkmenistan, Iran, and possibly Afghanistan)<br />

(Beshkov and Nanev, 2002; Boyan et al., 2003).<br />

Reptiles act as hosts to a variety of parasitic<br />

organisms. Ectoparasites in the form of ticks and<br />

mites are particularly conspicuous and may be<br />

commonly found on reptiles (Stafford and<br />

Meyer, 2000).<br />

Ticks are obligatory blood-sucking arachnid<br />

arthropods infecting mammals, birds, reptiles<br />

and amphibians. They possess tremendous<br />

potential for transmitting organisms that may<br />

cause disease in humans and other animals<br />

(Anderson and Harrington, 2008).<br />

Species of the genus Hyalomma are mediumsized<br />

or large ticks, with eyes and long<br />

mouthparts. The males have ventral plates on<br />

each side of the anus. They are most commonly<br />

found on legs, udder, and tail or perianal region.<br />

About 20 species are found, usually in semidesert<br />

lowlands of central Asia, southern Europe<br />

and North of Africa. They can survive<br />

exceptionally cold and dry conditions. Adults of<br />

a number of species parasitize domestic<br />

mammals. H. aegyptium may be introduced on<br />

tortoises (Wall and Shearer, 2001).<br />

The vast literature regarding ticks has centered<br />

mostly around 10% of the world tick fauna,<br />

which have been well recognized for their<br />

medical and veterinary significance (Hoogstraal,<br />

1985).<br />

Out of 77 statistically comparable tick<br />

collections, comprising 792 specimens were<br />

made from adults of the Russian spur-thighed<br />

tortoise, T. g. nikolskii, at 4 sites along Russia's<br />

Black Sea coast. The first tick collections<br />

reported from T. g. nikolskii. All ticks were<br />

determined to be Hyalomma aegyptium (Robbins<br />

et al., 1998).<br />

In the spring 2001, 6 ticks (4 male, 2 female)<br />

were observed and collected in 2 turtles, Testudo<br />

graeca in Kerman province at south part of Iran.<br />

This confirmed that they have been Hyalomma<br />

aegyptium, a common turtle parasite (Nabian<br />

and Mirsalimi, 2002).<br />

Testudo graeca tortoises were collected in the<br />

northern and southern Golan Heights and<br />

various locations in Israel and Palestine.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 186-190, 2011<br />

Hyoalomma oegyptium ticks were found only on<br />

Golan Height tortoises (Paperna, 2006).<br />

From 211 tortoises belonging to three<br />

species, Testudo marginata Schoepff, T. graeca<br />

Linnaeus, and T. hermanni Gmelin were<br />

sampled throughout Greece, Bulgaria, Romania<br />

and Croatia (Balkan countries), revealed the<br />

presence of four species of ixodid ticks (1327 in<br />

number), namely Hyalomma aegyptium<br />

(Linnaeus), Haemaphysalis sulcata Canestrini<br />

and Fanzago, H. inermis Birula and<br />

Rhipicephalus sanguineus (Latreille). It was<br />

confirmed the strong dominance of all life stages<br />

of H. aegyptium among ticks parasitizing west<br />

Palaearctic tortoises of genus Testudo Linnaeus<br />

(Siroký et al., 2006).<br />

Tavassoli et al. (2007) collected 117 ticks<br />

from 14 infested tortoises out of 32 examined in<br />

Urmia Region, Iran.<br />

The study of tortoises tick is a neglected field<br />

of zoological study in Iraq. To date as far as it is<br />

discernible from the review of the literature,<br />

there were no studies on tortoise's tick in Erbil;<br />

therefore the present study was aimed to record<br />

the incidence of ticks among tortoises in a<br />

certain places of the studied area (Kaya, Bastora,<br />

Kalak and Graw), and to determine the intensity<br />

of infestation.<br />

MATERIALS AND METHODS<br />

Total samples of 18 tortoises (Testudo graeca<br />

Linnaeus, 1758) were collected and classified<br />

according to Khalaf (1959) during the beginning<br />

of March to the beginning of July 2010, from<br />

different locations of Erbil province-Iraq. The<br />

selections of the samples (two sexes) were at<br />

randomly (10 females and 8 males), and then<br />

they were brought alive into the animal house of<br />

Science College, Biology Department for further<br />

examination.<br />

The captured tortoises were inspected closely<br />

for the presence of ticks with naked eyes,<br />

magnifying lens, dissecting microscope and light<br />

microscope. And also sites of tick attachment<br />

were recorded.<br />

Ticks were collected by using thin tweezers<br />

and immediately placed into screw–capped vials<br />

containing several minute holes; vials were<br />

properly identified and conditioned under room<br />

temperature few days or weeks for species<br />

identifications (Tavassoli et al., 2007). The ticks<br />

were identified using standard text by Wall and<br />

Shearer (2001) as follow:<br />

1. Gnathosoma projecting anteriorly and visible<br />

whene specimen seen from above: scutum<br />

present, covering the dorsal surface completely<br />

(Male); stigmata plates large; situated posteriorly<br />

to the coxae of the fourth pair of<br />

legs……………..Ixodidae.<br />

2. Anal groove entirely posterior to the anus.<br />

3. Eyes present.<br />

4. Palps much longer than wide.<br />

5. Palps with second segment less than twice as<br />

long as third segment, scutum without<br />

pattern…………….. Hyalomma sp.<br />

RESULTS AND DISCUSSION<br />

Table 1, out of 18 tortoises were collected, 14<br />

of them (6 males and 8 females) were infested<br />

with Hyalomma aegyptium (Fig. 1, 2, 3, 4 and 5)<br />

as a first record on the tortoises in Kurdistan<br />

Region. The observation of H. aegyptium on<br />

tortoises is in agreement with Robbins et al.<br />

(1998) in Russia, Nabian and Mirsalimi (2002)<br />

in Iran, Paperna (2006) in Israel, Siroký et al.<br />

(2006) in Balkan countries and Tavassoli et al.<br />

(2007) in Iran.<br />

The infestation rates and mean intensity of<br />

male and female tortoises was 75%, 80% and<br />

9.5, 8.25 respectively. Statistically there were no<br />

significant differences between infestation rates<br />

of both sexes (P>0.05). This indicates that<br />

whatever influences the reptilian sex hormones<br />

exert on their parasites, they are not profoundly<br />

reflected on the levels of parasitization (Al-<br />

Barwari and Saeed, 2007). This result is in<br />

disagreement with those reported by Robbins et<br />

al. (1998), they mentioned that more ticks<br />

parasitized male tortoises than females.<br />

According to the gender of the isolated ticks<br />

male ticks (71) were found from more tortoises<br />

than were females (52). This is may be due to<br />

the fact that the males remain on their host and<br />

mate with several females; they will eventually<br />

drop from their host, while the female upon<br />

obtaining a blood meal detach and drop into the<br />

leaf litter to lay a single batch of eggs, they dies<br />

shortly after laying her eggs (Anderson and<br />

Harrington, 2008).<br />

Some factors of the host that affecting the<br />

ticks for seeking them, include detection of<br />

carbon dioxide and ammonia. The front legs of<br />

the ticks have specialized organs on them to<br />

detect carbon dioxide gradients from<br />

approaching hosts (Sonenshine, 1993). As it is<br />

obvious that the outcome of respiration and<br />

urination processes is carbon dioxide and<br />

ammonia respectively, this is explained the sites<br />

of tick attachments, collected ticks of the current<br />

study were attached to the neck and axillae of<br />

fore and hind legs of the tortoises, and this is in<br />

agreement with that revealed by Tavassoli et al.<br />

(2007) in Iran, that they mentioned the same tick<br />

infestation sites on the T. gareca.<br />

187


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 186-190, 2011<br />

188<br />

Table (1):- Prevalence, mean intesity and preference sites of Hyaloma aegyptium in relation to gender of<br />

Testudo graeca collected from Erbil province.<br />

Tortoises'<br />

gender<br />

Male<br />

Female<br />

2<br />

No. of<br />

examined<br />

tortoises<br />

No. of<br />

positive<br />

tortoises<br />

8 6 32 25<br />

No. of isolated ticks Site of tick<br />

Male Female<br />

attachment<br />

Neck and axilla of<br />

fore and hind legs<br />

Prevalence<br />

(%)<br />

Mean<br />

intensity<br />

75 9.5<br />

10 8 39 27<br />

Neck and axilla of<br />

fore and hind legs<br />

80 8.25<br />

18 14 71 52 - 77.77 8.87<br />

1<br />

Fig. (1):- H. aegyptium ticks attached to axilla of hind legs.<br />

Fig. (2):- H. aegyptium female tick, dorsal view. Fig. (3):- H. aegyptium female tick, ventral view.<br />

4 5<br />

Fig. (4):- H. aegyptium male tick, dorsal view. Fig. (5):- H. aegyptium male tick, ventral view.<br />

3


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 186-190, 2011<br />

REFERENCES<br />

-Al-Barwari, S.E. and Saeed, I. (2007). On the helminth<br />

founa of some Iraqi Reptiles. Türkiye Parazitoloji<br />

Derneği, 31 (4): 330-336.<br />

-Anderson, R.R. and Harrington, L.C. (2008). Tick Biology<br />

for the Homeowner. Entomology at Ithaca-College<br />

of Agriculture and Life Science at Cornell<br />

University. 11pp, from<br />

www.entomology.cornell.edu/.../TickBioFS.html;<br />

last updated: February 25, 2008).<br />

-Beshkov, V.l. and Nanev, K. (2002). Amphibians and<br />

Reptiles in Bulgaria.-Pensoft, p. 120.<br />

-Boyan, P.; Vladimir, P.; Popgeorgiev, B.G. and Plachyiski,<br />

D. (2003). National Action Plan for Tortoises<br />

Conservation in Bulgaria, Vers.1, BSPB, NMNHS-<br />

BAS, Sofia.<br />

-Hoogstraal, H. (1985). Argasid and Nuttalliellid ticks<br />

as parasites and vectors. Advance Parasitology,<br />

24: 135-138.<br />

-Khalaf, K.T. (1959). Reptiles of Iraq with some notes on<br />

the Amphibians. Published by a Grant from the<br />

Ministry of Education of Iraq. Ar-Rabitta Press.<br />

Baghdad. 96pp (87p).<br />

-Nabian, S. and Mirsalimi, S.M. (2002). First Report of<br />

Presence of Hyaloma aegyptium Tick From Testudo<br />

graeca Turtle In Iran. Journal of Veternary<br />

Research; 57 (3): 61-63.<br />

-Paperna, I. (2006). Hemolivia mauritanica<br />

(Haemogregarinidae: Apicomplexa) infection in the<br />

tortoise Testudo graeca in the Near East with data<br />

on sporogonous development in the tick vector<br />

Hyalomna aegyptium. Parasite, 13 (4): 267-73.<br />

-Robbins, R.G., Karesh, W.B., Calle, P.P., Leontyeva,<br />

O.A., Pereshkolnik, S.L. and Rosenberg, S. (1998).<br />

First records of Hyalomma aegyptium (Acari:<br />

Ixodida: Ixodidae) from the Russian spur-thighed<br />

tortoise, Testudo graeca nikolskii, with an analysis<br />

of tick population dynamics. Journal of<br />

Parasitology., 84 (6): 1303-1305.<br />

-Siroký, P.; Petrzelková, K.J.; Kamler, M.; Mihalca, A.D.<br />

and Modrý, D. (2006). Hyalomma aegyptium as<br />

dominant tick in tortoises of the genus Testudo<br />

in Balkan countries, with notes on its host<br />

preferences. Experimental Application Acarology,<br />

40 (3-4): 279-90.<br />

-Sonenshine, D. E. (1993). Biology of ticks. Vol. 2. Oxford<br />

University Press, New York.<br />

-Stafford, P.J. and Meyer, J.R. (2000). A guide to the<br />

Reptiles of Belize. The Natural History Museum,<br />

London. Academic Press. London. 356pp.<br />

-Tavassoli, E.; Rahimi-Asiabi, N. and Tavassoli, M. (2007).<br />

Hyalomma aegyptium on spur-tighed tortoise<br />

(Testudo graeca) in Urmia region West Azarbaijan,<br />

Iran. Iranian Journal of Parasitololgy, 2: 40-47.<br />

-Wall, R. and Shearer, D. (2001). Veterinary Ectoparasites:<br />

Biology, Pathology and Control. 2 nd edn., Blackwell<br />

Science. Oxford. 262pp.<br />

189


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 186-190, 2011<br />

ياطشَيراثةه<br />

190<br />

Testudo graeca<br />

يخموت يناكةَهةضيكةه مَيدنةي رةصةه َياس يكةيةنِزق وكةو<br />

قازَيع-ىاتصدروك<br />

يٌَيرةي-زَيهوةي<br />

Hyaloma aegyptium<br />

و ىاكةكؤصخ و ىاكةدهَهاب و ىاكةرةديرش يشووت ةك راضان يذً وَيوخ ييةكؤَهاجَهاج يرادةطًوج َيث ةه ينتزبةنِزق<br />

مةه يكةرةص ينجاًائ . ةزت ينارةوةنايط و ىاكةَهةضيك يرؤخةصً Hyaloma aegyptium . وبةد ىاكةي يكةوالشوو<br />

مَيدنةي ةه ىاكةنِزق يرؤخةصً ةب ىووب سووت يةذَيِر يندزلناصين تصةد و ىدزليرايد ةه ووب تييزب ادةيةوةهيذَيوت<br />

دتناياخ يطناتً راوتض يةواتً ةتكةوةهيَهؤلَيه . قازتَيع-ىاتتصدروك<br />

يٌَيرةي -زَيهوةي<br />

ياطشَيراث يناكةَهةضيك ةه<br />

ةه مَيدنةي ةه ةوةنازكؤك َيةضيك<br />

01 يؤك . 0202<br />

ةتخوث<br />

يَهاص يسوًةت يطناً ياتةرةص وكات تراً يطناً ياتةرةصةه<br />

يواضةب ىازهَيلصث ةوةليشنةه ىاكةوايرط َيةضيك .) زَيوط و نةهةك و ةرؤتصةب و ةيؤك(<br />

زَيهوةي ياطشَيراث يناكةضوان<br />

ىاكةنِزق يناصوون نيَيوش ايةورةي ةو . ىاكةنِزق ينووب تيصةبةً ةب يياهشؤِر نييبدروو و يرالَيوت نييبدروو و يياصائ<br />

وةزَين يِزضةدنةوان و ىووب شووت يةذَيِر . ىاكةووب شووت ةَهةضيك ةه ةوةنازكؤك ةنِزق 001 تيصط يؤك . ىازكراًؤت<br />

ةنِزق يناكةخموت يةزَيوطةب . ادكةي ياودةب 1.03 , 5.3 ةو % 12 , % 53 ةه ووب تييزب ىاكةووب<br />

شووت ةَهةضيك يةي َيً<br />

.) 30(<br />

ىاكةتي َيتً ةتنِزقَ َيةطةه دروارةبةب ىاكةَهةضيك يةبرؤسةه ىازهيب و ىووب<br />

50 ىاكةزَين ةنِزق , ىاكةوازكايج<br />

ةه ةك ىازناداو ىاكةنِزق ووًةي . ىاكةَهةضيك يةواود يهةث وةوةصَيث يهةث يَوطنةًهب و ىً ةب ىووباصوون ىاكةنِزق<br />

يٌَيرةي ةه ىاكةَهةضيك رةصةه وازك ساب يرؤخةصً يراًؤت مةكةي ادةيةوةهيذَيوت مةه . ىووب<br />

H. aegyptium<br />

. ازكراًؤت<br />

ةظفاخم يف Testudo graeca سنج نم فحلاس ضعب ىلع دئاس<br />

دارقك Hyaloma aegyptium<br />

و فيحاوزلا و روييطلا و تايديثلا<br />

قارعلا-<br />

ناتسدروك ميلقا-ليبرا<br />

يخمووت<br />

ىاتدروك<br />

ةصلاخلا<br />

ييصي لفطتلا يرابجا يليفط و مدلل ةصاملا<br />

لجرلااةيلصفم تايتوبكنعلا نم دارقلا<br />

ربتعي<br />

نايك ةيساردلا هذه نم يساسلاا فدهلا<br />

. ىرخلاا تاناويخلا و فحلاسلا ىلع Hyaloma aegyptium لفطتي . تايئامربلا<br />

تزيجنا . قاريعلا-ناتيسدروك<br />

مييلقا-لييبرا<br />

ةيظفاخم ييف فحلايسلا ضيعب يلع ةلفطتملا<br />

طاينم ضيعب نيم ةفخليس<br />

01<br />

يمج ايهللاخ ميت , 0202<br />

دارقب ةباصلاا ةبسن صيخشتو داجيا<br />

ويمت<br />

رهيش ةييادب ىيلا رااا رهيش ةييادب نيم رهيشا ةعبرا للاخ ةساردلا<br />

رييبكت تايسدع و ةدريجملا نييعلا ةطيساوب ةيقيقد ةرويصب<br />

ريق نيع يصخف ) ريويك و يلك و ةرؤتسب و ةيؤك(<br />

ليبرا<br />

ةظفاخم<br />

فحلاييس 01 نيييب نييم . ةافخلييسلا مييسج ىييلع دارييقلا قاييصتلا ييقوم ليجييست مييت اييضياو . يئويي رييهجم و جيرييشت رييهجمو<br />

روكذييلا فحلاييسلل ةباييصلاا ةدييش و ةباييصلاا<br />

ةبييسن . ة دارييق 001 عومجماييهنم<br />

ييمج<br />

. دارقلاييب ةباييصم<br />

نيم يعمج<br />

يذيلاو ريكا 50 نايك لوزيعملا داريقلا سنيجل ةبيسنلاب ايما . يلاويتلا ىلع 1.03 , 5.3 و % 12 , % 53<br />

و . ةييفلخلا و ةييماملاا ليجرلاا<br />

و<br />

يبلاا يختو نعلايب اقيصتلم لوزيعملا داريقلا ناك .) 30(<br />

ييناك 02 , ةييصوفخم<br />

ناك ثانلاا<br />

ثانلااب ةنراقم فحلاسلا ةيرثكا<br />

ةافخليسلا ىيلع روكذيلا ييليفطلل ليجيست لوا ةييلاخلا ةيسارد ريبتعت و . H. aegyptium عوين نيم لوزعملا دارقلا<br />

يمج ناك<br />

.<br />

ناتسدروك ميلقا يف


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

ON DETECTIONOF FEEDBACK IN THE TIME SERIES<br />

SAMEERA ABDULSALAM OTHMAN<br />

School of Basic Education, Faculty of Educational Sciences, University of Duhok, Kurdistan Region-Iraq<br />

(Received: November 27, 2010; Accepted for publication: June 26, 2011)<br />

ABSTRACT<br />

This research has characterized is the detection of feedback between output series and input series. The<br />

importance of detective appearance of feedback when has the adequate model is known, it also has applied to some<br />

method for detecting the feedback by using two methods. The first method is testing of cross-correlation function<br />

between prewhitening to the input and output series, where it has founded cross-correlation between prewhitening of<br />

the input series ( � ) and residual series (at) .The second method is uses to F test between two series of input and<br />

t<br />

output. It is appearing that the Dynamical Regression models have no adequacy in feedback, then the Multivariate<br />

Autoregressive should be used in the case.<br />

KEYWORDS: feedback, output series, input series, residual series, Dynamic Regression<br />

T<br />

INTRODUCTION<br />

his research includes the application of<br />

some statistical technique for studying<br />

the time series of the average monthly humidity<br />

as an output series with one of the variables<br />

which affect on it, that series of the average<br />

monthly relative rainfall as an input which is<br />

measured at the meteorological station of Dohuk<br />

the techniques used are the modeled by<br />

an(ARIMA) model as well as the dynamic<br />

regression model. Relatively the dynamic<br />

regression models ( are that models take the<br />

time into account),the modeling of the dynamic<br />

regression shows how are that output result and<br />

the input and are depending on each other:<br />

1- the relation of the lag time with the input and<br />

output.<br />

2-The time composition for the turbulence<br />

series.<br />

And for getting an economic model, the<br />

relative model was identified by identifying the<br />

linear transformation function was of the degree<br />

(1,0,1), and when the values of turbulence series<br />

were examined by using autocorrelation and<br />

partial autocorrelation coefficients, it is found<br />

that all of the coefficients were insignificant and<br />

that is proved that the turbulence series is a<br />

series of random residuals, so that: Nt =at .<br />

1- THE BASIC CONCEPTS<br />

1-1 Stationary And Non Stationary Time<br />

Series:<br />

If the underlying generating process for a time<br />

series is based on a constant mean and a constant<br />

variance, then the time series is stationary. More<br />

formally, a series is stationary if its statistical<br />

properties are independent of the particular time<br />

period during time in which it is observed. And<br />

time series exhibit non stationary if the<br />

underlying generating process does not have a<br />

constant mean and a constant variance. In<br />

practice, a visual inspection of the plotted time<br />

series can help to determine if either or both of<br />

these conditions exist. And the set of<br />

autocorrelations for the time series can be used<br />

to confirm the presence of stationary or not [4]<br />

& [6].<br />

1-2 Mean Squared Error (Mse):<br />

The mean squared error is a measure of<br />

accuracy computed by squaring the error for<br />

each item in a data set and then finding the<br />

average or mean value of those squares, the<br />

mean squared error gives greater weight to large<br />

errors than to small errors because the errors are<br />

squared before being summed [4].<br />

1-3 Autocorrelation Functio (Acf):<br />

This term is used to describe the correlation<br />

between values of the same time series at<br />

different time periods. It is similar to crosscorrelation<br />

but relates the series to different time<br />

lags, thus there may be an autocorrelation for a<br />

time of lag 1, another autocorrelation for a time<br />

of lag 2, and so on. And the pattern of<br />

autocorrelations for lags 1, 2, 3,… is known as<br />

the autocorrelation function. A plot of the ACF<br />

against the lag is known as the correlogram. It is<br />

frequently used to identify whether or not<br />

seasonality is present in a given time series (and<br />

the length of that seasonality), to identify<br />

191


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

appropriate time series models for specific<br />

situations, and to determine if data are stationary<br />

or not. The autocorrelation function at lag k is<br />

defined by:<br />

E [( z t ��)( z t �k<br />

��)]<br />

�k<br />

�<br />

(1)<br />

2 2<br />

E [( z ��) ] E [( z ��)<br />

]<br />

192<br />

t t �k<br />

Where zt : Observation at time t.<br />

μ: Mean of observations.<br />

ρk: autocorrelation function of lag k<br />

[4]&[6]&[7].<br />

1-4 Partial Autocorrelation Function (Pacf):<br />

This measure of correlation is used to<br />

identify the extent of relationship between<br />

current values of a variable with earlier values of<br />

the same variable (values for various time lags)<br />

while holding the effects of all other time lags<br />

constant. Thus it is completely analogous to<br />

partial correlation but refers to a single variable.<br />

The standard formula for calculating partial<br />

autocorrelation function is:<br />

ˆ � � r<br />

ˆ �<br />

11 1<br />

k �1<br />

r � ˆ � r<br />

k k �1, j k �j<br />

kk �<br />

j �1<br />

k �1<br />

1�<br />

�<br />

�<br />

j �1<br />

ˆ �<br />

r<br />

k �1,<br />

j k<br />

(k=2, 2,3,…)<br />

ˆ � � ˆ � � ˆ � ˆ �<br />

Where k j �1 k, j � k1 k�, k k j<br />

ˆ � kk : partial autocorrelation function<br />

of lag k.<br />

rk: estimated value of ρk [4]&[7] .<br />

1-5 Autoregressive (Ar) Model:<br />

Model autoregression is a form of regression,<br />

but instead of the variable to be forecasted being<br />

related to other explanatory variables, it is<br />

related to past values of itself at varying time<br />

lags. Thus an autoregressive model would<br />

express the forecast as a function of previous<br />

values of that time series. Suppose that {at} is a<br />

purely random process with mean zero and<br />

variance σ 2 a then the process {Zt} is said to be an<br />

autoregressive process of order p, AR(p), if it<br />

satisfies the difference equation:<br />

Zt = C +� 1 Zt-1 +� 2 Zt-2 + . . .+ � pZt-p + at<br />

Where Zt: The value of time series at time t.<br />

C : Constant.<br />

� j : jth autoregressive parameter.<br />

at : White noise<br />

the necessary condition that the AR(p) be<br />

stationary is � j


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

relationship between the forecast variable and<br />

the explanatory variable is model using a<br />

transfer function. A DR model states how an<br />

output (Yt ) is linearly related to current and past<br />

value of one or more input (X1,t , X2,t , X3,t ,…) it<br />

is usually assumed that observations of the<br />

various series occur at equally spaced time<br />

intervals. While the output may be affected by<br />

the inputs, a crucial assumption is that the inputs<br />

are not affected by the outputs this means that<br />

we are limited to single equation models [6].<br />

2.2 Transfer Function<br />

For simplicity we will discuss just one input.<br />

The ideas we develop here are easily extended to<br />

multiple inputs if Yt depends on Xt in some way<br />

we may write this as<br />

Yt = f(Xt ) (2)<br />

Where f(.) is some mathematical function. The<br />

function f(.) is called a transfer function. The<br />

effect of a change in Xt is transferred to Yt in<br />

some way specified by the function f(.).In<br />

general, however, there are other factors causing<br />

variation in Yt besides changes in the specified<br />

input, we capture those other factors with an<br />

additives stochastic disturbance (Nt) that may be<br />

auto correlated . Nt represents the effects of all<br />

excluded inputs on the variability of Yt .The<br />

input – output relationship may also have an<br />

additive the constant term (C) .This is a buffer<br />

term that captures the effect of excluded inputs<br />

on the overall level of Yt , thus we are<br />

considering models of the form<br />

Yt = C + f(Xt) + Nt (3)<br />

Where Yt : is the output<br />

Xt: is the input<br />

C: is the constant term.<br />

f(Xt): is the transfer function<br />

Nt : is the stochastic disturbance which may be<br />

auto correlated<br />

Nt is assumed to be independent of Xt<br />

Input Nt<br />

output Xt → [ transfer function] → Yt<br />

[1]&[2]&[6]<br />

2-3 Impulse Response Function<br />

We can write a linearly distributed lag<br />

transfer function in back shift form by defining<br />

v(B) as<br />

v(B) = v0 + v1B + v2B 2 + v3B 3 + … (4)<br />

where B is the backshift operator defined such<br />

that<br />

B k Xt = Xt-k<br />

We can write the transfer function f(Xt) as a<br />

liner combination of current and past Xt value:<br />

Yt = f(Xt )<br />

= v0 Xt + v1 Xt-1 + v2 Xt-2 + v3 Xt-3 + … (5)<br />

Using equation (4),(5) may be rewritten as<br />

Yt = v(B) Xt (6)<br />

Equation (6) is a compact way of saying that<br />

there is a linearly distributed lag relationship<br />

between change in Xt and changes in Yt .The<br />

individual vk weights in v(B), (v0 , v1, v2, v3, … )<br />

are called the impulse response weights we can<br />

estimate that the vk weights as follows<br />

^<br />

� � ^<br />

Vk = � ( k )<br />

^ ��<br />

(7)<br />

�<br />

Where<br />

�<br />

^<br />

� ( k ) estimates the cross<br />

��<br />

correlation between �� ,<br />

^<br />

� � : standard deviation of �<br />

^<br />

� � : standard deviation of � [5]&[6]<br />

2-4 Dead Time<br />

Yt might not react immediately to a change in Xt<br />

, some initial v weights may be zero. The<br />

number of v weights equal to zero (starting with<br />

v0 ) is called dead time denoted as b, starting<br />

with v0, there is one v weight equal to zero (v0 =<br />

0), so b=1. Alternatively if v0 = v1 = v2 = 0 and<br />

v3 � 0 then b=3 [5]&[6]<br />

2-5 The Rational Distributed Lag Family<br />

The Koyck impulse response function is just one<br />

member of the family of rational polynomial<br />

distributed lag models. This family is a set of<br />

impulse response functions v(B) given by<br />

b<br />

v(B) =<br />

w ( B ) B<br />

(8)<br />

� ( B )<br />

where<br />

w(B) = w0 + w1B + w2B 2 + …+whB h (9)<br />

and<br />

2<br />

r<br />

� ( B ) �1 ��1B��2B�... � �r<br />

B (10)<br />

Where h: represents the order of (w)<br />

r: represents the order of (� )<br />

Extending this frame work to m inputs,<br />

i=1,2,…,m, is straight forward. The result may<br />

be written compactly as<br />

Yt =<br />

m<br />

�<br />

i �1<br />

v ( B ) X<br />

i i , t<br />

m<br />

bi<br />

= w i ( B ) B<br />

� X (11) [5]&[6]<br />

it ,<br />

� ( B )<br />

i �1<br />

i<br />

2-6 Building Dynamic Regression Models(Dr)<br />

A dynamic regression (DR) model with one<br />

input consists of a transfer function plus a<br />

disturbance. This may be written as<br />

Yt = c + v(B) Xt + Nt<br />

193


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

Where<br />

s<br />

�( B ) �(<br />

B)<br />

Nt =<br />

a<br />

s D d t<br />

�( B ) �( B)<br />

�s� and<br />

at : is zero mean and normally distributed white<br />

noise [3]&[5]& [6].<br />

2-7 Preparation And Prewhitening Of The<br />

Inputs And Outputs Series<br />

Rewriting this process, we may think of AR and<br />

MA operators as a filter that, when applied to<br />

Xt , produces an uncorrelated residual series<br />

�1<br />

� � � ( B ) � ( B ) X<br />

t x x t<br />

^<br />

The series � t (in practice � t ) is called the<br />

pre whitened Xt series now suppose we apply the<br />

same filter to Yt : this will produce another<br />

residual series<br />

�1<br />

� � � ( B ) � ( B ) Y [1]&[2]&[5]<br />

t x x t<br />

2-8 Identifiction<br />

A) Estimation Of The Impulse Response<br />

Weights<br />

Equation (8) shows that if we prewhiten the<br />

input, and apply the same filter to the output,<br />

then the v weights are proportion to the cross<br />

correlations of the residuals from these two<br />

filtering procedures. in practice we don’t<br />

know the parameters on the right side of<br />

equation (8). instead we substitute estimates of<br />

these parameters obtained from the data to arrive<br />

at the following estimated v weights<br />

^<br />

r ( )<br />

^ �� k � �<br />

v k � [5]<br />

^<br />

�<br />

194<br />

�<br />

b) Identifiction of (r,s,b) for the transfer<br />

function<br />

We obtain the identity<br />

v � 0<br />

j b + s<br />

j 1 j �1 2 j �2 ... r j �r<br />

C) Disturbance Series<br />

We generate an estimate of the Nt series<br />

denoted by N ^ t, the estimate disturbance series<br />

and it is computed as:<br />

N ^ t= Yt - v(B) Xt<br />

w s ( B) b<br />

= Yt - B X t<br />

�r<br />

( B )<br />

This disturbance series ( Nt ) in a dynamic<br />

regression will often be autocorrelated.<br />

�N( B ) N t � �N(<br />

B ) at<br />

where<br />

at : is zero mean and normally distributed white<br />

noise [5]<br />

2-9 Estimation<br />

At the identification stage we tentatively<br />

specify a rational from transfer function model<br />

of orders(b,r,s), and a disturbance series ARIMA<br />

model of orders (p,d,q) We identified the<br />

following DR model<br />

b<br />

w ( B ) B �N<br />

( B )<br />

Y t � X t � at<br />

(12)<br />

�( B) �N(<br />

B)<br />

At the second stage of our modeling strategy<br />

we estimate the parameters of the identified DR<br />

model using the available data. To estimate (12)<br />

we will use initial values to refer to coefficient<br />

values can often be found from identification<br />

stage information to estimate the coefficients in<br />

w(B) and � ( B ) the next step in estimation is to<br />

compute the SSR(sum of squared residuals)<br />

SSR =<br />

n<br />

�<br />

i �1<br />

a<br />

2<br />

i<br />

Is used to choose better model coefficients,<br />

by taking the minimum SSR [2]&[3]&[4]<br />

2-10 Check for feedback<br />

Serious model inadequacy can usually be<br />

detected by examining<br />

r k of the<br />

a) the autocorrelation function ^ ( ) a<br />

^<br />

residuals at from the fitted model<br />

b) certain cross correlation function are<br />

involving input and residuals: in particular the<br />

cross correlation function r ^ ( k)<br />

between<br />

�a<br />

^<br />

prewhitened input �t and the residuals a t .An<br />

important assumption in building a singleequation<br />

DR model is that there is no<br />

feedback from earlier values of the output to<br />

current values of the inputs. The possibility of<br />

feedback arises whenever the inputs<br />

are stochastic. Essentially the same results may<br />

be obtained using single-equation feedback, each<br />

input series is regressed on its own past, on the


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

past of each other input, and on the past of the<br />

output series. The following equation may be<br />

estimated to check for feedback from. The past<br />

of Yt to Xt<br />

Xt = c+ b1Xt-1 + b2Xt-2 +…+ bkXt-k + d 1y t-1 + d 2y<br />

t-2 +…+ d ky t-k + at ( 13)<br />

The estimated coefficients<br />

^<br />

d k , k=1,2,3,…K<br />

in (13) contain information about possible<br />

feedback from past values of Yt to the current<br />

values of Xt ,one way to check for feedback is<br />

to examine the individual t values of the<br />

^<br />

d coefficients. If they are all insignificant, we<br />

may conclude that there is no statistical feedback<br />

from the past of Yt to Xt , and we may include<br />

Xt as an explanatory variable in a single-equation<br />

DR model. We should not insist on a complete<br />

^<br />

lack of significant d coefficient in models like<br />

(13) we should make a reasonable allowance for<br />

sampling variation and recognize that the results<br />

from a model like(13) are only a guideline<br />

linearity can produce unreliable t values. It may<br />

also be argued that possible feedback from Yt to<br />

Xt is represented in(13) by all d ky t-k terms,<br />

k=1,2,…,K as a set, thus it is helpful to perform<br />

a joint test using the hypotheses Ho : d1 =d2<br />

=…=dk =0<br />

HA : d1 � d2 � … � dk � 0 at least two of<br />

them not equal zero<br />

This joint Ho may be tested with the<br />

following F statistic<br />

D.RH<br />

20<br />

10<br />

0<br />

-10<br />

-20<br />

-30<br />

20<br />

40<br />

( Ess1�Ess0) / k<br />

F �<br />

Rss /( n � k )<br />

1 1 1<br />

(14)<br />

Where Ess1 : is the explained sum of squares<br />

from estimating (13)<br />

Ess0 : is the explained sum of squares from<br />

estimating (13) with the lagged y<br />

K :is the maximum lag on the right side<br />

Rss1 : is the residual sum of squares , n1 : n-k<br />

n: original number of observations [1]&[6]<br />

3- APPLICATION<br />

3-1 Introduction<br />

This section contains applying some methods<br />

for detecting the feedback by using two<br />

methods. The first method is testing of crosscorrelation<br />

function between prewhitening of the<br />

input denoted by rainfall and of the output<br />

denoted by humidity (RH). We take the monthly<br />

average of the meteorological station of Dohuk<br />

for the period (1992) to (2006), all data are<br />

shown in the tables(1) in the appendix (A). The<br />

second method is it used to test F between two<br />

series of input and output by using equation (14)<br />

3-2 Detection Of The Feedback<br />

1)Detecting of the feedback by using crosscorrelation<br />

between output RH(Yt) and input<br />

rainfall (Xt). we plot the time series of it by<br />

using software of Minitab (13.2) as in<br />

figures(1),(2) respectively we show that the<br />

series is stationary in mean and variance<br />

Fig.(1):The time series plot of(RH) Fig. (2): The time series plot of rainfall<br />

We plot (Autocorrelation function) ACF for<br />

the RH and rainfall series in figures (3),(4) we<br />

show that the seasonality period (8) months.<br />

60<br />

80<br />

100<br />

D.ranfall<br />

200<br />

100<br />

0<br />

-100<br />

-200<br />

20 40 60 80 100<br />

195


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

196<br />

Autocorrelation<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

-0.2<br />

-0.4<br />

-0.6<br />

-0.8<br />

-1.0<br />

5<br />

LBQLag Corr T LBQ Lag Corr T LBQ Lag Corr T<br />

Autocorrelation<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

0.53<br />

0.05<br />

-0.33<br />

-0.51<br />

-0.32<br />

0.00<br />

0.44<br />

0.66<br />

0.36<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

-0.2<br />

-0.4<br />

-0.6<br />

-0.8<br />

-1.0<br />

0.17<br />

-0.00<br />

-0.23<br />

-0.27<br />

-0.09<br />

0.04<br />

0.32<br />

0.21<br />

0.15<br />

5.77<br />

0.47<br />

-2.90<br />

-4.14<br />

-2.33<br />

0.01<br />

3.02<br />

4.21<br />

2.04<br />

1.80<br />

-0.05<br />

-2.40<br />

-2.71<br />

-0.87<br />

0.41<br />

3.03<br />

1.85<br />

1.31<br />

34.15<br />

34.50<br />

48.26<br />

80.45<br />

93.72<br />

93.72<br />

118.40<br />

174.27<br />

191.49<br />

3.33<br />

3.34<br />

9.68<br />

18.61<br />

19.66<br />

19.91<br />

33.04<br />

38.74<br />

41.80<br />

Autocorrelation Function for RH Yt<br />

10<br />

11<br />

12<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

-0.05<br />

-0.40<br />

-0.49<br />

-0.37<br />

-0.10<br />

0.33<br />

0.55<br />

0.32<br />

-0.11<br />

-0.28<br />

-2.16<br />

-2.57<br />

-1.81<br />

-0.46<br />

1.58<br />

2.60<br />

1.43<br />

-0.48<br />

191.84<br />

212.95<br />

245.45<br />

263.59<br />

264.84<br />

279.74<br />

321.90<br />

336.26<br />

337.97<br />

20<br />

21<br />

22<br />

23<br />

24<br />

25<br />

26<br />

27<br />

Fig. (3): (Autocorrelation function) ACF for the RH<br />

Fig. (4): (Autocorrelation function) ACF for rainfall<br />

19<br />

15<br />

-0.41<br />

-0.54<br />

-0.44<br />

-0.07<br />

0.32<br />

0.52<br />

0.34<br />

-0.04<br />

-0.32<br />

-1.81<br />

-2.32<br />

-1.78<br />

-0.28<br />

1.26<br />

2.06<br />

1.28<br />

-0.16<br />

-1.21<br />

362.49<br />

405.18<br />

432.99<br />

433.72<br />

448.77<br />

490.27<br />

507.66<br />

507.94<br />

524.34<br />

Autocorrelation Function for ranfall x1<br />

Lag<br />

28<br />

29<br />

Corr<br />

-0.42<br />

-0.32<br />

We take first difference for the data as shown<br />

in the figures(5),(6) and plot ACF again for the<br />

differenced time series about rainfall and<br />

(PACF) in a figures(7),(8)<br />

25<br />

T<br />

-1.57<br />

-1.15<br />

5 15 25<br />

10<br />

11<br />

12<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

-0.00<br />

-0.03<br />

-0.21<br />

-0.09<br />

-0.07<br />

0.17<br />

0.32<br />

0.15<br />

0.03<br />

-0.04<br />

-0.27<br />

-1.77<br />

-0.77<br />

-0.56<br />

1.36<br />

2.61<br />

1.14<br />

0.24<br />

41.81<br />

41.95<br />

47.86<br />

49.03<br />

49.67<br />

53.48<br />

68.08<br />

71.23<br />

71.37<br />

19<br />

20<br />

21<br />

22<br />

23<br />

24<br />

25<br />

26<br />

27<br />

-0.18<br />

-0.22<br />

-0.15<br />

0.01<br />

0.21<br />

0.16<br />

0.29<br />

0.03<br />

-0.19<br />

-1.39<br />

-1.64<br />

-1.07<br />

0.09<br />

1.51<br />

1.14<br />

2.05<br />

0.19<br />

-1.25<br />

76.27<br />

83.39<br />

86.58<br />

86.60<br />

93.20<br />

97.12<br />

110.31<br />

110.43<br />

115.80<br />

28<br />

29<br />

-0.20<br />

-0.21<br />

-1.36<br />

-1.35<br />

LBQ<br />

552.67<br />

568.79<br />

Lag Corr T LBQ Lag Corr T LBQ Lag Corr T LBQ Lag Corr T LBQ<br />

122.42<br />

129.18


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

D.RH<br />

20<br />

10<br />

0<br />

-10<br />

-20<br />

-30<br />

20<br />

40<br />

60<br />

80<br />

100<br />

Fig. (5): the plot for differenced time series of(RH) Fig. (6): the plot for differenced time series of(rainfall)<br />

Autocorrelation<br />

Partial Autocorrelation<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

-0.2<br />

-0.4<br />

-0.6<br />

-0.8<br />

-1.0<br />

-0.12<br />

0.03<br />

-0.18<br />

-0.02<br />

0.05<br />

0.07<br />

0.25<br />

-0.51<br />

0.03<br />

-1.28<br />

0.30<br />

-1.88<br />

-0.24<br />

0.49<br />

0.75<br />

2.50<br />

-4.84<br />

0.25<br />

Fig. (7): (Autocorrelation function) ACF for differenced time series of( rainfall)<br />

Fig. (8): (PACF)differenced time series of( rainfall)<br />

D.ranfall<br />

200<br />

100<br />

0<br />

-100<br />

-200<br />

20 40 60 80 100<br />

5 15 25<br />

Lag Corr T LBQ Lag Corr T LBQ Lag Corr T LBQ Lag Corr T LBQ<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

-0.2<br />

-0.4<br />

-0.6<br />

-0.8<br />

-1.0<br />

Lag<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

PAC<br />

1.67<br />

1.77<br />

5.58<br />

5.65<br />

5.94<br />

6.60<br />

14.12<br />

45.90<br />

46.01<br />

T<br />

0.16<br />

-1.88<br />

-0.73<br />

0.46<br />

0.60<br />

2.78<br />

-5.14<br />

-0.38<br />

5<br />

10<br />

11<br />

12<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

-0.06<br />

0.14<br />

-0.01<br />

0.05<br />

-0.05<br />

-0.14<br />

0.15<br />

-0.15<br />

0.00<br />

Lag<br />

-0.46<br />

1.08<br />

-0.05<br />

0.39<br />

-0.37<br />

-1.11<br />

1.19<br />

-1.12<br />

0.02<br />

PAC<br />

46.43<br />

48.76<br />

48.77<br />

49.09<br />

49.37<br />

51.99<br />

55.10<br />

57.97<br />

57.97<br />

T<br />

0.75<br />

-0.15<br />

-0.63<br />

0.29<br />

0.12<br />

1.10<br />

-1.33<br />

-2.62<br />

-0.56<br />

19<br />

20<br />

21<br />

22<br />

23<br />

24<br />

25<br />

26<br />

27<br />

Lag<br />

-0.04<br />

0.03<br />

0.03<br />

0.01<br />

0.08<br />

-0.14<br />

0.20<br />

0.05<br />

0.01<br />

15<br />

PAC<br />

-0.31<br />

0.20<br />

0.26<br />

0.08<br />

0.57<br />

-1.08<br />

1.48<br />

0.37<br />

0.06<br />

58.20<br />

58.30<br />

58.46<br />

58.48<br />

59.29<br />

62.26<br />

67.96<br />

68.35<br />

68.36<br />

T<br />

0.96<br />

-0.71<br />

0.76<br />

-0.00<br />

1.04<br />

-0.33<br />

0.66<br />

0.32<br />

-0.16<br />

Lag<br />

28<br />

0.03<br />

PAC<br />

-0.12 -1.28 10 0.07<br />

19 0.09<br />

28 0.08<br />

0.01<br />

-0.18<br />

-0.07<br />

0.04<br />

0.06<br />

0.26<br />

-0.49<br />

-0.04<br />

11<br />

12<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

-0.01<br />

-0.06<br />

0.03<br />

0.01<br />

0.10<br />

-0.13<br />

-0.25<br />

-0.05<br />

20<br />

21<br />

22<br />

23<br />

24<br />

25<br />

26<br />

27<br />

-0.07<br />

0.07<br />

-0.00<br />

0.10<br />

-0.03<br />

0.06<br />

0.03<br />

-0.02<br />

0.21<br />

25<br />

T<br />

0.83<br />

68.49<br />

197


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

The figures (7) and (8) suggest that the<br />

tentative model for the differenced series is<br />

ARMA(1,1) as shown in the equation below:<br />

(1 ��B ) X � (1 � �B ) �<br />

t<br />

198<br />

t t<br />

X ��X �� � ��<br />

t t �1 t t �1<br />

� � X ��X � ��<br />

t t t �1 t �1<br />

X � � where<br />

1 1<br />

X0 = 0<br />

The researcher writes the program through<br />

the use of macro within Minitab just as program<br />

(1) in the appendix (B).we can find the results of<br />

series( � ) are the same as in the table (1).<br />

Table(1) : The values of ( � ) variable input (rainfall) with (� =0.7955)and (� =0.9142)<br />

^<br />

t<br />

^<br />

� T ^<br />

t<br />

� t ^<br />

t<br />

� t ^<br />

t<br />

� t ^<br />

t<br />

� t ^<br />

t<br />

� t<br />

1 -88.000 21 -15.491 41 20.914 61 3.090 81 13.621 101 17.454<br />

2 -166.95 22 -19.263 42 -57.810 62 0.825 82 181.321 102 -10.213<br />

3 -6.126 23 -177.78 43 45.285 63 57.945 83 -11.341 103 -110.586<br />

4 68.599 24 -199.08 44 -43.399 64 124.244 84 -14.421 104 44.623<br />

5 176.766 25 114.991 45 11.351 65 -151.397 85 19.309 105 18.369<br />

6 63.841 26 -60.162 46 -40.951 66 73.494 86 23.930 106 83.730<br />

7 -29.107 27 -12.916 47 -39.515 67 8.862 87 64.763 107 -14.519<br />

8 -158.20 28 -44.079 48 -111.860 68 21.545 88 -71.480 108 130.171<br />

9 26.933 29 -16.623 49 -71.630 69 8.559 89 38.555 109 -14.929<br />

10 -6.771 30 -13.595 50 -38.523 70 3.025 90 -110.418 110 111.542<br />

11 104.042 31 -20.304 51 -88.810 71 -35.216 91 -113.352 111 42.656<br />

12 49.465 32 183.923 52 -54.554 72 -81.143 92 43.921<br />

13 -180.41 33 -146.21 53 -52.158 73 58.409 93 5.146<br />

14 -46.325 34 52.027 54 -20.257 74 -52.560 94 -19.396<br />

15 66.593 35 -82.858 55 -18.910 75 96.214 95 58.087<br />

16 148.764 36 8.166 56 25.589 76 31.220 96 -98.705<br />

17 -48.434 37 -12.367 57 155.796 77 13.113 97 45.794<br />

18 40.497 38 25.794 58 -39.659 78 16.667 98 8.398<br />

19 -1.822 39 12.152 59 6.239 79 7.493 99 25.509<br />

20 -64.697 40 -99.762 60 21.392 80 120.885 100 -73.079<br />

by same method we can find the output series<br />

(RH) as below:<br />

(1 ��B ) Y � (1 � �B ) �<br />

t t<br />

Y ��Y � � � ��<br />

t t �1 t t �1<br />

� �Y ��Y � ��<br />

t t t �1 t �1<br />

1 1<br />

^<br />

t<br />

Y � � where<br />

Y � 0<br />

0<br />

^<br />

We can find the series ( � t ) by using program<br />

(2) in the appendix (B)


t<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

(<br />

� )<br />

^<br />

t<br />

t<br />

(<br />

� )<br />

^<br />

t<br />

Table (2): values ( � ) for output (RH)<br />

t<br />

(<br />

� )<br />

^<br />

t<br />

1 -1.0000 21 1.9371 41 11.5237 61 -2.7684 81 -0.8323 101 -4.9184<br />

2 3.8813 22 -15.411 42 12.9664 62 -4.3263 82 23.2391 102 -5.1099<br />

3 10.3663 23 -19.951 43 3.4899 63 -1.1596 83 19.1532 103 -26.2850<br />

4 -2.4781 24 -14.717 44 0.7815 64 15.3489 84 4.9863 104 -12.9377<br />

5 6.9165 25 -3.4988 45 -6.1036 65 -1.2871 85 7.7630 105 -2.4636<br />

6 4.5500 26 0.2104 46 -15.6249 66 7.6189 86 5.9149 106 -8.6388<br />

7 9.7732 27 12.2148 47 -13.9653 67 12.6012 87 14.8164 107 -18.7156<br />

8 4.5706 28 -3.5612 48 -27.6301 68 12.9740 88 1.7947 108 -1.9728<br />

9 0.5875 29 2.3354 49 -16.5764 69 11.1103 89 7.0272 109 -3.9855<br />

10 6.1281 30 6.9530 50 -13.6081 70 9.7931 90 -2.9622 110 8.5610<br />

11 -17.579 31 -1.0076 51 -12.0766 71 11.1798 91 -17.1396 111 8.4849<br />

12 -4.1614 32 15.8744 52 -12.2674 72 0.6521 92 0.2410<br />

13 -17.622 33 0.7843 53 -19.4418 73 5.7781 93 5.2203<br />

14 -0.5868 34 -0.4875 54 -6.4322 74 -8.3086 94 -7.2051<br />

15 3.8725 35 -4.8546 55 -5.6759 75 -10.0498 95 6.7771<br />

16 -3.2328 36 2.3349 56 0.0156 76 0.3585 96 -13.3729<br />

17 -4.3644 37 11.5436 57 1.2413 77 -7.6722 97 -10.0885<br />

18 -21.603 38 16.8026 58 -5.6382 78 -4.6500 98 -9.0634<br />

19 0.1602 39 15.4285 59 -7.5635 79 -7.0690 99 9.2828<br />

20 2.9644 40 7.5587 60 -6.7325 80 4.3105 100 -9.0597<br />

^<br />

^<br />

2)correlation coefficient between ( � t )and ( � t )<br />

by using equation (1) we can find the values of<br />

correlation coefficient in the table (3)<br />

t<br />

^<br />

t<br />

(<br />

� )<br />

^<br />

t<br />

t<br />

(<br />

� )<br />

Table (3): the values of correlation coefficient between ( � ) and ( � )<br />

t r �� t r �� t r �� t r ��<br />

0 0.378 6 -0.004 12 0.025 18 -0.214<br />

1 0.147 7 0.110 13 -0.011 19 -0.135<br />

2 0.068 8 -0.090 14 -0.078 20 -0.062<br />

3 0.122 9 0.038 15 -0.071 21<br />

4 0.118 10 0.148 16 -0.019 22<br />

5 0.171 11 0.048 17 -0.128 23<br />

sample crosscorrelation<br />

0.4<br />

0.3<br />

0.2<br />

0.1<br />

0.0<br />

-0.1<br />

-0.2<br />

-0.3<br />

-10 0<br />

lag<br />

10<br />

^ ^<br />

Fig.(9): correlation coefficient between ( � t ) and ( � t ) determines the dead time for input(RH).<br />

^<br />

t<br />

^<br />

t<br />

^<br />

t<br />

t<br />

(<br />

� )<br />

^<br />

t<br />

-15 0.031<br />

199


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

It is clear from the figure (9) that the dead<br />

time is (b=0) close to zero which explains<br />

��� (0) � 0 significant and all of values near to<br />

zero, we can say that there is feedback between<br />

output series (Yt) and input (Xt). We find ACF<br />

^<br />

between residual series and series ( � t ).we can<br />

clear that below<br />

200<br />

3)IDENTIFICTION<br />

1- Estimation Of The Impulse Response<br />

Weights<br />

We estimate of the impulse response weights<br />

between input (Xt ) and output series (Yt ) in the<br />

table (4) below<br />

Table (4): the values of the impulse response of input variable (rainfall Xt)<br />

t v t v t v t v<br />

0 0.0499 6 -0.0005 12 0.0033 18 -0.0282<br />

1 0.0194 7 0.0145 13 -0.0014 19 -0.0178<br />

2 0.0089 8 -0.01188 14 -0.0103 20 -0.00819<br />

3 0.0161 9 0.0050 15 -0.0093 21<br />

4 0.01558 10 0.0195 16 -0.0025 22<br />

5 0.0225 11 0.00634 17 -0.0169 23<br />

2) Identification Of (R,S,B) For The Transfer<br />

Function<br />

It is clear from the figure (9)<br />

taking one change point will continue toward<br />

itself for a few periods(s=5). It transfer to the<br />

other side thus than (r=1) .the pattern can be<br />

written as:<br />

( w �w B �w B �w B �w B �w<br />

B )<br />

Y X N<br />

2 3 4 5<br />

t � 0 1 2 3<br />

(1 ��1B<br />

)<br />

4 5<br />

t � t<br />

t Nt ^<br />

(15)<br />

4)Disturbance Series<br />

Table(5) :estimate values of disturbance series Nt<br />

t Nt ^<br />

t Nt ^<br />

We find disturbance series by using the<br />

equation<br />

N t �Y t �v 0X t �v 1X t �1�... � v 20X t �20(16)<br />

By using equation (16) we can obtain the<br />

number of disturbance series which their values<br />

less than the input and output series values(t=21)<br />

so, we can apply them in program (3) in<br />

appendix(B) the values in the table (5)<br />

t Nt ^<br />

t Nt ^<br />

1 8.3067 19 8.4527 37 1.8966 55 -17.218 73 -27.8116<br />

2 -13.3977 20 10.6442 38 11.867 56 11.4734 74 2.2931<br />

3 -20.1134 21 -6.2558 39 -10.634 57 5.6367 5 -2.0726<br />

4 0 22 -6.8021 40 6.6606 58 -7.2843 76 2.2749<br />

5 -0.3655 23 4.6793 41 14.2883 59 -2.0547 77 -6.8147<br />

6 13.8634 24 13.9806 42 -1.8847 60 -7.7965 78 14.2572<br />

7 0.8759 25 -21.235 43 -3.686 61 -2.2512 79 -5.2206<br />

8 24.6778 26 -12.021 44 -3.2112 62 8.8708 80 -3.3320<br />

9 15.1076 27 -14.395 45 0.5373 63 28.049 81 -1.8584<br />

10 1.3322 28 7.7617 46 1.8966 64 -9.6713 82 -11.5726<br />

11 15.0231 29 2.2580 47 11.867 65 -10.100 83 7.4928<br />

12 7.1083 30 -0.346 48 -12.615 66 8.5172 84 2.5678<br />

13 3.5126 31 1.6847 49 -4.1235 67 -4.315 85 -19.049<br />

14 -1.2732 32 -10.0583 50 7.4006 68 4.4084 86 -6.5645<br />

15 11.7306 33 7.6015 51 1.6043 69 6.57 87 -0.8425<br />

16 -16.373 34 2.5706 52 3.009 70 -14.985 88 5.2194<br />

17 -4.3515 35 4.4363 53 4.5073 71 -11.229 89 5.5882<br />

18 9.382 36 -7.8483 54 -5.3716 72 8.9425 90 -11.5726


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

We plot ACF and PACF from the disturbance series ( t ) , as in the figures (10) and (11)<br />

Autocorrelation Function for Nt^<br />

Autocorrelation<br />

Partial Autocorrelation<br />

Lag<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

-0.2<br />

-0.4<br />

-0.6<br />

-0.8<br />

-1.0<br />

Corr<br />

It is clear from the figure(11) that the<br />

disturbance series ( t) is equal residual series<br />

Nt = at , thus the model of dynamic<br />

regression as shown in the equation below:<br />

( w �w B �w B �w B �w B �w<br />

B )<br />

Y X a<br />

2 3 4 5<br />

t � 0 1 2 3<br />

(1 ��1B<br />

)<br />

4 5<br />

t � t<br />

Fig. (10): ACF and from the disturbance series ( t )<br />

Fig. (11): PACF and from the disturbance series ( t ^ )<br />

(17)<br />

We estimate the values of the model by using<br />

equation (17)<br />

By using table(4) we find<br />

v0 = �1 v1 + w0 j =b<br />

T<br />

2<br />

LBQ<br />

Lag<br />

Corr<br />

T<br />

LBQ<br />

1 -0.02 -0.15 0.02 8 -0.32 -2.94 15.13 15 0.03 0.23 21.15 22 0.15 1.16<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

-0.13<br />

0.05<br />

-0.00<br />

0.02<br />

0.13<br />

-0.10<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

-0.2<br />

-0.4<br />

-0.6<br />

-0.8<br />

-1.0<br />

Lag<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

-1.23<br />

0.51<br />

-0.00<br />

0.21<br />

1.22<br />

-0.88<br />

PAC<br />

-0.13<br />

0.05<br />

-0.02<br />

0.04<br />

0.13<br />

-0.09<br />

2<br />

1.60<br />

1.88<br />

1.88<br />

1.93<br />

3.63<br />

4.55<br />

T<br />

9<br />

10<br />

11<br />

12<br />

13<br />

14<br />

0.17<br />

0.01<br />

0.02<br />

0.11<br />

0.00<br />

-0.12<br />

Lag<br />

1.42<br />

0.11<br />

0.15<br />

0.89<br />

0.01<br />

-0.98<br />

PAC<br />

18.12<br />

18.14<br />

18.18<br />

19.45<br />

19.45<br />

21.06<br />

T<br />

Lag<br />

16<br />

17<br />

18<br />

19<br />

20<br />

21<br />

Lag<br />

12<br />

Corr<br />

0.03<br />

-0.12<br />

-0.01<br />

-0.05<br />

-0.06<br />

-0.04<br />

12<br />

PAC<br />

v0 = w0<br />

v1 = �1 v0 – w1<br />

v2 = �1 v1 – w2 j =b +1,…,b+s<br />

v3 = �1 v2 – w3<br />

v4 = �1 v3 – w4<br />

v5 = �1 v4 – w5<br />

v6 = �1 v5<br />

T<br />

0.25<br />

-0.98<br />

-0.08<br />

-0.43<br />

-0.48<br />

-0.32<br />

LBQ<br />

21.27<br />

22.97<br />

22.98<br />

23.32<br />

23.76<br />

23.97<br />

Partial Autocorrelation Function for Nt^<br />

1 -0.02 -0.15 8 -0.31 -2.93 15 -0.07 -0.70 22 0.11<br />

-1.23<br />

0.48<br />

-0.15<br />

0.35<br />

1.23<br />

-0.83<br />

9<br />

10<br />

11<br />

12<br />

13<br />

14<br />

0.14<br />

-0.05<br />

0.09<br />

0.10<br />

0.06<br />

-0.07<br />

1.36<br />

-0.49<br />

0.84<br />

0.95<br />

0.53<br />

-0.68<br />

16<br />

17<br />

18<br />

19<br />

20<br />

21<br />

-0.08<br />

-0.05<br />

-0.06<br />

-0.00<br />

0.02<br />

-0.08<br />

T<br />

-0.76<br />

-0.47<br />

-0.58<br />

-0.02<br />

0.17<br />

-0.72<br />

Lag<br />

Lag<br />

Corr<br />

PAC<br />

LBQ<br />

� 1 = v6 / v5 = -0.0005/0.0225 =-0.222<br />

w0 = v0 = 0.0499<br />

T<br />

T<br />

1.07<br />

26.62<br />

22<br />

22<br />

201


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

w1 = �1 v0 – v1 = (-0.222)(0.0499)- (0.0194)=<br />

-0.0304778<br />

w2 = �1 v1 – v2 = (-0.222)(0.0194)-( 0.0089)=<br />

-0.0132066<br />

w3 = �1 v2 – v3 = (-0.222)(0.0089)-( 0.0161)=<br />

-0.01808<br />

w4 = �1 v3 – v4 =(-0.222)(0.0161)-( 0.01558)=<br />

-0.01915<br />

202<br />

w5 = �1 v4 – v5 =(-0.222)(0.01558)-<br />

( 0.0225)=-0.025958<br />

Search to Minimize Sum of Squared<br />

Residuals<br />

The next step in estimation is to compute the<br />

SSR (Sum of Squared Residuals)<br />

SSR =<br />

2 3 4 5<br />

(0.0499 � 0.0305B � 0.0132066B � 0.01808B � 0.01915B � 0.02595 B )<br />

t � t � t<br />

Y X a<br />

(1� 0.222 B )<br />

^<br />

a t = Yt +0.222Yt-1 -0.0499 Xt -0.0305 Xt-1-<br />

0.0132066 Xt-2 -0.01808 Xt-3 -0.01915 Xt-4-<br />

0.02595 Xt-5-0222at-1 (18)<br />

t<br />

n<br />

�<br />

t �1<br />

a<br />

2<br />

t<br />

Table (6): the values of series ( a )<br />

^<br />

We find the values of series ( a t ) by using<br />

equation (18) and program (4) in appendix (B),<br />

The value as in the table(6)<br />

^<br />

a t ^<br />

t<br />

a t ^<br />

t<br />

a t ^<br />

t<br />

a t ^<br />

t<br />

a T ^<br />

t<br />

a t<br />

1 0.0000 20 -0.9160 39 -3.3955 59 1.1386 78 14.6687 97 -1.4370<br />

2 0.7422 21 1.6774 40 -8.4087 60 13.2296 79 2.0145 98 -4.4783<br />

3 9.5889 22 5.2860 41 -17.9861 61 1.9000 80 1.8387 99 -20.4011<br />

4 4.9520 23 19.1778 42 -11.8717 62 8.1710 81 1.2348 100 -8.0027<br />

5 -3.4498 24 1.2919 43 -23.2960 63 9.5838 82 7.7183 101 2.3374<br />

6 0.9387 25 5.5449 44 -8.0296 64 10.0785 83 0.3255 102 -6.7431<br />

7 -21.9821 26 5.3637 45 -6.5819 65 6.9647 84 4.0698 103 -14.3211<br />

8 -5.2100 27 0.0144 46 -2.2575 66 8.3027 85 -4.2324 104 1.3423<br />

9 -9.8956 28 9.9616 47 -2.6486 67 6.7636 86 -14.4481 105 -2.1231<br />

10 4.5466 29 0.5953 48 -9.9744 68 -0.7813 87 -0.0109 106 9.6593<br />

11 3.3031 30 -1.6047 49 2.2018 69 1.2307 88 5.9083 107 6.6924<br />

12 -8.3265 31 -6.0637 50 1.4054 70 -11.0673 89 -6.6499<br />

13 -2.3224 32 2.3747 51 5.6577 71 -13.1957 90 7.5821<br />

14 -17.5623 33 8.6837 52 0.3474 72 -1.6501 91 -11.2824<br />

15 2.1247 34 16.8753 53 -3.4559 73 -7.6427 92 -10.1545<br />

16 6.3294 35 10.2357 54 -4.2761 74 -5.8736 93 -8.6454<br />

17 3.7500 36 6.8976 56 -5.5386 75 -6.2127 94 11.4132<br />

18 -12.1944 37 6.9511 57 -1.1261 76 0.7505 95 -6.8504<br />

19 -11.5427 38 8.7745 58 -3.1218 77 -1.9606 96 14.6687<br />

We plot cross correlation between series (<br />

^<br />

^<br />

� t ) and series ( a t ) as in the figure (12), it is<br />

clear that there are significant values, this means<br />

^<br />

t<br />

that the correlation between two series (<br />

^<br />

� t )<br />

^<br />

and series ( a t ) is significant, then the building<br />

(DR) models impossible.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

sample crosscorrelation_1<br />

Fig. (12): cross correlation between series ( � ) and series ( a )<br />

Check For Feedback By Using F Test<br />

The maximum lag k in model (16) K= 15,we<br />

estimate this equation to check for feedback<br />

Table (7): The estimated values of the ck coefficients with t values<br />

^<br />

t<br />

Xt = c+ b1Xt-1 + b2Xt-2 +…+ b15Xt-15 + c 1y t-1 +<br />

c 2y t-2 +…+ c 15y t-15 + at<br />

The estimated values of the c ^ coefficients are<br />

shown in the table (7)<br />

k 1 2 3 4 5<br />

c ^<br />

k -2.260 2.798 -1.479 -1.243 2.906<br />

t -2.09 2.41 -1.23 -1.08 2.58<br />

k 6 7 8 9 10<br />

c ^ k -0.760 -1.511 -0.2837 -1.687 1.862<br />

t -0.65 -1.36 -0.29 -1.54 1.67<br />

k 11 12 13 14 15<br />

c ^ k -0.015 -1.476 3.480 -2.327 -0.719<br />

t -0.01 -1.31 2.99 -1.93 -0.65<br />

F = ((314620 -218133)/15)/(511669/80)<br />

= 1.0057<br />

We see that the value of (F) by using<br />

equation (14) is significant if we in contrast with<br />

the value of (table F=3.46) at the 5% level<br />

for(15,80) degrees of freedom we have evidence<br />

that there is important feedback from the output<br />

and in the input.<br />

Conclusion<br />

1)To detection of feedback by using cross –<br />

correlation function between two series input<br />

and output has been found significant in some<br />

lag .Although the dead time is (b=0) close to<br />

zero which explains ��� (0) � 0 which is<br />

significant, too and all of values near to zero, is<br />

said to be a feedback between output series (Yt)<br />

and input (Xt).<br />

0.3<br />

0.2<br />

0.1<br />

0.0<br />

-0.1<br />

-0.2<br />

-10<br />

0<br />

lag<br />

10<br />

^<br />

t<br />

0.026<br />

2)After using cross- correlation between series (<br />

^<br />

^<br />

� t ) and series ( a t ) , it is clear that there are<br />

significant values, which mean that the<br />

^<br />

correlation between the two series ( � t ) and<br />

^<br />

series ( a t ) is significant, then the building (DR)<br />

models is impossible, therefore, we use<br />

Multivariate Autoregressive model.<br />

3)To check feedback is to examine the<br />

individual t values of the c ^ k coefficients. If they<br />

are all insignificant, we may conclude that there<br />

is no statistical feedback. This is clear when we<br />

find the F test.<br />

-15<br />

203


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

REFERENCES<br />

- Box, G.E.P., and Jenkins, G.M. (1976). Time Series<br />

Analysis. Forecasting and Control, Holden- Day,<br />

San Francisco.<br />

- Liu, L. - M. (1994). Forecasting and Time Series Analysis<br />

Using the SCA Statistical System, Scientific<br />

computing Associates, U.S.A.<br />

- Liu, L. –M. (2006).Time Series Analysis and<br />

Forecasting. 2 nd edit, Scientific computing<br />

Associates U. S. A.<br />

204<br />

- Makridakis, S, Wheelwright, S. C. and Hyndman, R.<br />

(1998). Forecasting methods and Applications,<br />

Wiley, New York.<br />

- Pankratz, A. (1983). Forecasting with Univariate Box-<br />

Jenkins Model.Concepts and cases, John Wiley &<br />

sons INC. New York.<br />

- ���� (1991). Forecasting with Dynamic Regression<br />

Model, John Wiley & sons INC. , New York.<br />

- Wei, W.W.S. (1990). “Time Series Analysis- Univariate<br />

and Multivariate Method”.,Addison –Wesley<br />

publishing company,Inc., The Advanced book<br />

program, California,USA.<br />

Appendix (A)<br />

monthly average of the humidity and rainfall of the meteorological station of Dohuk for the period (1992) to<br />

(2006)<br />

year month humidity rainfall year month RH rainfall year month RH rainfall<br />

1992 Oct. 72 164.0 1997 Oct. 67 53.0 2002 Oct. 69 103.8<br />

Nov. 69 234.7 Nov. 60 133.7 Nov. 54 48.0<br />

Des. 60 32.8 Des. 64 82.0 Des. 52 186.8<br />

Jan. 63 18.2 Jan. 61 74.5 Jan. 59 72.1<br />

Feb. 47 19.8 Feb. 55 0.5 Feb. 33 4.3<br />

Mar. 42 0.0 Mar. 56 39.1 Mar. 40 16.1<br />

Apr. 52 159.9 Apr. 60 33.0 Apr. 50 23.7<br />

May. 66 198.4 May. 75 108.8 May. 75 204.9<br />

1993 Oct. 71 76.0 1998 Oct. 74 86.6 2003 Oct. 69 96.8<br />

Nov. 73 78.2 Nov. 68 83.5 Nov. 78 211.3<br />

Des. 70 54.8 Des. 62 140.2 Des. 69 139.6<br />

Jan. 59 109.9 Jan. 57 36.0 Jan. 60 30.5<br />

Feb. 53 206.8 Feb. 45 20.9 Feb. 37 3.7<br />

Mar. 45 51.0 Mar. 38 4.0 Mar. 42 21.9<br />

Apr. 60 113.0 Apr. 46 3.0 Apr. 61 71.2<br />

May. 68 29.5 May. 49 9.2 May. 72 112.0<br />

1994 Oct. 69 113.2 1999 Oct. 62 38.0 2004 Oct. 72 126.8<br />

Nov. 77 76.4 Nov. 60 71.8 Nov. 71 89.5<br />

Des. 50 163.6 Des. 56 77.3 Des. 49 30.3<br />

Jan. 55 150.8 Jan. 51 12.6 Jan. 60 91.1<br />

Feb. 36 13.7 Feb. 32 0.0 Feb. 42 16.9<br />

Mar. 47 16.0 Mar. 39 14.8 Mar. 34 8.3<br />

Apr. 66 194.1 Apr. 47 11.2 Apr. 68 136.2<br />

May. 66 181.9 May. 55 58.6 May. 58 11.9<br />

1995 Oct. 66 50.0 2000 Oct. 68 209.7 2005 Oct. 63 183.2<br />

Nov. 57 110.9 Nov. 58 26.3 Nov. 64 100.9<br />

Des. 54 152.2 Des. 52 83.6 Des. 61 57.2<br />

Jan. 61 78.7 Jan. 48 33.3 Jan. 52 16.1<br />

Feb. 40 0.0 Feb. 33 0.0 Feb. 39 41.5<br />

Mar. 33 0.0 Mar. 38 12.8 Mar. 31 1.7<br />

Apr. 49 21.2 Apr. 49 66.8 Apr. 44 29.7<br />

May. 56 7.8 May. 73 174.1 May. 50 72.9<br />

1996 Oct. 68 208.5 2001 Oct. 67 36.6 2006 Oct. 66 209.3<br />

Nov. 62 71.7 Nov. 66 100.5 Nov. 60 188.6<br />

Des. 70 163.1 Des. 64 84.3 Des. 47 35.9<br />

Jan. 59 55.1 Jan. 59 47.3 Jan. 56 142.6<br />

Feb. 44 4.9 Feb. 41 0.0 Feb. 40 8.2<br />

Mar. 41 5.5 Mar. 44 8.0 Mar. 44 100.4<br />

Apr. 48 17.7 Apr. 56 25.0 Apr. 55 48.9<br />

May. 72 207.5 May. 69 91.9 May. 103.8


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

Appendix (B)<br />

The software Minitab(13.2) is used in the following macro programs.<br />

Program (1): the values of ( � ) variable input (rainfall)<br />

^<br />

t<br />

gmacro<br />

aa.macro<br />

let c4(1)=-88<br />

do k3=2:111<br />

let c4(k3)=c2(k3)- 0.7955*c2(k3-1)+ 0.9142*c4(k3-1)<br />

enddo<br />

endmacro<br />

Program (2): values ( � ) for output (RH)<br />

^<br />

t<br />

gmacro<br />

aa.macro<br />

let c5(1)=-1<br />

do k3=2:111<br />

let c5(k3)=c1(k3)- 0.7955*c1(k3-1)+ 0.9142*c4(k3-1)<br />

enddo<br />

endmacro<br />

Program (3): estimate values of disturbance series Nt by using matlab program<br />

For i=1:111<br />

For k=1:21<br />

Z(I,k)= v(k)*ul(i+21)-k);<br />

end;<br />

end<br />

for i=1:111<br />

s(i)=0;<br />

for j=1:21<br />

s(i)=s(i)-z(i,j);<br />

end<br />

end<br />

for i=22:111<br />

n(i)=y(i)+s(i-20)<br />

end<br />

program (4): the values of series ( a )<br />

^<br />

t<br />

gmacro<br />

aa.macro<br />

let c3(5)=0<br />

do k1=6:111<br />

let c3(k1)=c1(k1)+ 0.222*c1(k1-1)- 0.0499*c2(k1)-0.0304778*c2(k1-1)-<br />

0.0132066*c2(k1-2)- 0.01808*c2(k1-3)-0.01915*c2(k1-4)- 0.025958*c2(k1-5)-<br />

0.222*c3(k1-1)<br />

enddo<br />

let k4=sum(c3(k1)**2)<br />

print k4<br />

endmacro<br />

205


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 191-206, 2011<br />

تةكد اي وخ ايتاهد ايرنجشو ادسكزةد ايرنجش ازةبظاند ةناوةضَيث انادَيث وك ةي ادَ ىدنةض َىود َىنيلَوكةظ َىظ ايطنسط<br />

ينَيَيز انسك ةصيتكاسث<br />

206<br />

^ . ) at<br />

Dynamic<br />

)<br />

ةتخوث<br />

. ةيانجوط َىي ةنوونم ناريك ينناصب اد ةياد َىدنةض َىود ةناوةضَيث انادَيث َىظ انسك ايوخ ايطنسطو<br />

^<br />

( نايامازةب ايرنجشو ) �t<br />

َىوونم وك ووباسكشائو ازادسكسلةدو<br />

: نانيئ زاكب ةنَيهد َىز ود وك تةكدزايد<br />

ةناوةضَيث انادَيث انسكايوخ<br />

( ايرنجش ايتاهاد ازةبظاند ) cross-correlation function(<br />

ذ تَيهدكَيث َىكَيئ اكَيز<br />

ايتاهاد ازةنظاند<br />

) F(<br />

انسكيقات انانيئزاكبذ تَيهدكَيث َىوود اكَيز<br />

multivariate Autoregressive ( َىنوونم َىدنه زةبذ تيبةه ةناوةضَيث انادَيث زةطةئ ةنين نايش وةئ<br />

صنانيئزاكب ةتَيوب<br />

Dynamic Regression<br />

فشكلا ةيمها زربت ثيح تلاخدم ةلسلسو تاجرخم ةلسلس نيب ةيسكعلا ةيذغتلا<br />

نع<br />

مادختساب ةيسكعلا ةيذغتلا نع فشكلا<br />

داجيا مت<br />

ثيح ةاقنملا تاجرخملاو<br />

Regression<br />

َىنوونم تيبانو نانيئزاكب ةتََيهد<br />

ةصلاخلا<br />

فشكلاب ثحبلا اذه زيمتي<br />

قئارط قيبطت تلوانت كلذك مئلاملا جذومنلا ةفرعم يف ةيسكعلا ةيذغتلا نع<br />

: نيتقيرط<br />

تلاخدملا يتلسلس نيب عطاقتملا طابترلاا ةلاد رايتخا يه ىلولاا ةقيرطلا<br />

^<br />

^<br />

رابتخا مادختسا يه ةيناثلا ةقيرطلا اما . ) at<br />

( يقاوبلا ةلسلسو ) �t<br />

( ةاقنملا تلاخدملا ةلسلس نيب عطاقتملا طابترلاا<br />

دوج و ةلاح يف ةءافكلا كلتميلا<br />

يكرحلا رادحنلاا جذومن ناب رهظ دقو تاجرخملاو تلاخدملا نيتلسلس نيب ) F (<br />

.<br />

يكرح ردحنا جذومن ماردختسا زوجي لاو تاربغملا ددعنملا<br />

يتاذلا رادحنلاا جذومن مادختسا<br />

متيف ةيسكع ةيذغت


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

THE SINGULARITY OF M-CONNECTED GRAPH<br />

PAYMAN A.RASHED<br />

Dept. of Mathematics, College of Basic Education, University of Salahaddin, Kurdistan Region-Iraq<br />

(Received: November 28, 2010; Accepted for publication: May 8, 2011)<br />

ABSTRACT<br />

In this paper we construct a new m-connected graph by the operation joins of two special graphs and the idea of<br />

the high-zero sum weighting of vertices is generalized and applied to find the singularity (nullity) of the news mconnected<br />

graphs, the new graph constructed by join path with itself and path with cycle of deferent orders, thus<br />

some properties are studies of the new m-connected graph and proved that the singularity of a new m-connected<br />

graph is the number of non zero distinct independent variables in any of it’s high-zero sum weightings, our goad is to<br />

characterizing the singularity of the new m-connected graphs (Pn � Pk) , (Pn � Ck) and special cases by the new<br />

technique of zero sum weighting which studied by cvetkovic and others in [7] and M.Brown in[6].<br />

KEYWORDS: - Graphs, Connectedness, m-connected graphs, Singularity<br />

M<br />

1-INTRODUCTION<br />

ost of the following concepts are found<br />

in [1,5,6,7] and [8], in mathematics<br />

and computer science , connectivity is one of the<br />

basic concepts of graph theory. It is closely<br />

related to the theory of network flow problems.<br />

The connectivity of a graph together with a zero<br />

eigenvalue of a connected graph is an important<br />

measures of it’s robustness as a network.<br />

The connectivity (or vertex connectivity)<br />

m(G) of a connected graph G (other than a<br />

complete graph) is the minimum number of<br />

vertices whose removal disconnects G. a graph<br />

G is said to be m-connected if there does not<br />

exist a set of m-1 vertices whose removal<br />

disconnects the graph, i.e, the vertex<br />

connectivity of G is ≥ k (11, P.177)<br />

A vertex weighting of graph G is a function,<br />

f : V(<br />

G)<br />

� R.<br />

Where R is the set of real numbers.<br />

A weighting of G is said to be non-trivial if there<br />

is at least one vertex v, v�V (G)<br />

for<br />

which f ( v)<br />

� 0 .<br />

The neighborhood of a vertex v in a graph G<br />

is the set of all vertices w such that v is adjacent<br />

with w, N(v,G) denotes it.<br />

A non-trivial vertex weighting of a graph G is<br />

called a zero sum weighting provided that, for<br />

v� V (G)<br />

, � f (w)<br />

� 0<br />

Each<br />

. Where the summation<br />

is taken over all w, w� N(<br />

v,<br />

G)<br />

.<br />

In [6] M.Brown and others uses a new<br />

technique introducing a vertex weighting of a<br />

graph in order to characterize the singularity of a<br />

graph it is not that every graph has a non-trivial<br />

zero sum weighting because the graph Kp is<br />

such graphs. [10] K.Rasho an Rashid [6]<br />

M.Brown and other characterized singular graph<br />

by the next theorem.<br />

Theorem 1-1:<br />

A graph G is singular if and only if there is a<br />

non-trivial zero sum weighting (if zero is an<br />

eigenvalue of the adjacent matrix of G) for G.<br />

And this is a very applicable technique to<br />

characterize whether a graph is singular or not. It<br />

was proved by Th.1of [3] that a graph G is<br />

singular if and only if ( 0� S p ( G),<br />

S p ( G)<br />

is the<br />

spectra of a graph G. the set of all eigenvalues of<br />

the adjacency matrix A(G) ) .[1,P.168] then the<br />

multiplicity of zero is characterized by<br />

generalizing the above new technique, which<br />

does not includes the solution of the<br />

characteristic polynomial det( A � � I)<br />

� 0 of a<br />

graph. If G be a singular graph, then by Th.1-3<br />

of [10], G possesses a non-trivial zero sum<br />

weighting, which leads to the existence of at<br />

least a non-zero weighted vertex (v1) with non<br />

zero-weight x1, f ( v1)<br />

� x1<br />

� 0is<br />

a zero sum<br />

weighting for G [9] .<br />

And the set of all non-zero sum weighting of<br />

G is denoted by W(G) and denote Mv(G) to be<br />

the maximum number of non-zero distinct<br />

independent variables that can be used for a zero<br />

sum weighting of G.<br />

Lemma 1.2:<br />

0 � M G P<br />

For a graph G of order P,<br />

v ( ) �<br />

the<br />

left equality holds if and only if G is nonsingular,<br />

and the right holds if and only if G has<br />

no edges.<br />

Note: In this paper we denote the singularity<br />

of m-connected graph by � m (G) and � m<br />

(G)=Mv(G)<br />

207


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

208<br />

2-GENERALIZATION<br />

A graph G is said to be m-connected if there<br />

does not exist a set of m-1 vertices whose<br />

removal disconnects the graph, [2] and [11]. The<br />

connectivity m(G) of G is the maximum value<br />

of m for which G is m-connected. Thus, for non<br />

trivial graph G ,<br />

m(G)=min{ P( u,<br />

v)<br />

: u,<br />

v�<br />

V,<br />

u � v},<br />

P(u,v) is<br />

path between two distinct vertices u and v.<br />

We construct a new m-connected graphs<br />

(G1,G2,G3,G4) by the operation joins � of two<br />

special graphs P � Pn<br />

, P � Pn<br />

, Pn<br />

� P and<br />

2 3<br />

k<br />

(G * ,G ** ,G *** ) by the operation join between<br />

C � P C � P , C � P<br />

, 4<br />

cycle and path 3 n<br />

n k n<br />

respectively. By the new technique of zero sum<br />

weighting of vertices of the graph which used in<br />

[7],[8] and [10].<br />

We need more methods to generate graphs,<br />

we present the important operation in a graph.<br />

Definition 2-1: The Complete Product join<br />

G1 � G2 of graphs G1 and G2 is the graph<br />

obtained from G1 & G2 by joining every vertex<br />

of G1 with every vertex of G2.<br />

i.e. V(G1 � G2) = V(G1) � V(G2)<br />

E(G1 � G2) = E(G1) E(G2) � {uv : u� G1 and v� G2}<br />

We illustrate G3 � C4 in figure (1)<br />

C3<br />

C4<br />

Path Graph Pn<br />

The path graph Pn with order n has size n-1. It<br />

has two vertices with degree 1 and n-2 vertices<br />

with degree 2.<br />

Theorem 2-2: [10] if Pn is a path graph, then<br />

( 1�<br />

( �1)<br />

)<br />

� m( Pn<br />

) �<br />

2<br />

n<br />

Fig (1)<br />

C � C<br />

i.e. Path graph Pn is singular iff n is odd.<br />

In this case � m ( Pn<br />

) �1<br />

Suppose that the vertices 0f Pn are labeled v1,<br />

v2, … , vn in natural order starting from a vertex<br />

v1 of degree 1.Then for n≥3 a minimum zero<br />

sum weighting has non-zero weights,<br />

f(vi) = -f(vi+2) = 0 , i � 1 mod 4<br />

3<br />

4<br />

Theorem 2-3<br />

� (P2 � P2) = 0<br />

m<br />

the proof is omitted since P2 � P2 = K4 and<br />

K4 is complete graph of order 4 which is not<br />

singular graph.[5]and[9], as shown in fig(2).<br />

Theorem 2-4<br />

Let n P P G � � 1 2 ( Pn is a path with n<br />

vertices)<br />

�1 � m (P2 � Pn) = �<br />

�0<br />

iff n �1<br />

� 0<br />

otherwise<br />

mod 4<br />

Proof: Suppose that G1 = P2 � Pn<br />

Let v1, v2 be the vertices of P2<br />

and u1, u2, … , un be the vertices of the path Pn<br />

for each vertex in (P2 � Pn), let f(v1) and f(v2)<br />

be the weight of vertices of P2 , and f(ui) be the<br />

weight of ui in Pn for i = 1, … , n<br />

To apply the zero sum weighting of the graph<br />

G1 to be singular we must prove that<br />

f ( w ) � 0 for each vertex v in G<br />

�<br />

wi�N<br />

( v)<br />

i<br />

Fig (2)<br />

The distinct independent variables used for<br />

weighting the vertices ui is of the form x1,0,-x1,0,<br />

x1,… , 0,-x and f(vi) = 0 for i=1,2, that shown in<br />

Fig (3)<br />

f(v1) f(v2)<br />

f(u1) f(u2) f(u3) f(un-1) f(un)<br />

x1 0 -x 0 -x<br />

Fig (3): The zero sum weighting for G = P2� Fig (3): The zero sum weighting for G = P2<br />

Pn<br />

� Pn<br />

1) If n+1 � 0 mod 4, then f(un) must be –x and<br />

this posses the zero sum weighting, Then a high<br />

zero-sum weighting for G1 exists. that uses only<br />

one independent variable. then � m (G)=1<br />

2) If n+1≠0 mod 4, f(un) may be 0 or x in this<br />

case a non trivial the zero sum weighting for G1<br />

does not exist Then the singularity be zero.<br />

i.e. � m (G1)=0


Pn<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

Theorem 2-5<br />

�<br />

�2 � P ) � �<br />

�1<br />

iff n � 1 � 0 mod 4<br />

otherwise<br />

P P G � � 2 3<br />

P by 1 , v2,<br />

v3<br />

P by n u u u u ,...., , , 1 2 3 .<br />

m(<br />

P3 n<br />

Proof: Let n<br />

Labeled the vertices of 3<br />

v and<br />

the Vertices of n<br />

For each vertex v in G2,f(v) is the weight of v<br />

Such that f ( v1<br />

) � x1,<br />

f ( v2)<br />

� � , f ( v3)<br />

� �x<br />

and the<br />

1<br />

Weights of the other vertices of G be of the<br />

form x2, �, � x2,<br />

�,<br />

x2,.....<br />

, then to apply the<br />

condition<br />

�� f ( w)<br />

� 0 for each vertex in the<br />

w N ( v)<br />

graph G2 we have two case :<br />

i) If n+1 � 0mod4 (i.e n=3,7,11,….) as shown<br />

in fig(4)<br />

X2<br />

P3<br />

Fig (4)<br />

The neighborhood of each vi , i �1,<br />

2,<br />

3<br />

contains n+1mod4 vertices i.e. (3,7,11,…) and<br />

f ( w ) � x ��<br />

� x ��<br />

� ...... � 0 , then posses<br />

�<br />

w j�<br />

f ( vi<br />

)<br />

j<br />

2<br />

2<br />

the zero sum weighting and the high zero-sum<br />

weighting for G2 exists.<br />

And the number of non-zero distinct<br />

independent variables used to obtain the zero<br />

sum weighting for a m-connected graph G2 are<br />

x1 and x2<br />

We get � m(<br />

G2)<br />

� 2<br />

ii) If n �1�<br />

0mod<br />

4 (i.e n=2,4,5,6,…<br />

Then the weight of u n which is in the<br />

neighborhood of i v is � or x2<br />

f ( un)<br />

� 0 if n is even and<br />

odd (Note n �1�<br />

0mod<br />

4)<br />

f ( un)<br />

� x2<br />

if n is<br />

Case 1: if f ( u ) � 0 if n is even<br />

�<br />

wi<br />

�N<br />

( un<br />

)<br />

X<br />

1<br />

n<br />

f ( w ) � x ��<br />

� x � x � ...... � 0<br />

i<br />

ο<br />

1<br />

ο<br />

-x2<br />

1<br />

-X1<br />

2<br />

ο .............<br />

-x2<br />

or ο<br />

or x2<br />

� � x � x<br />

2<br />

0 and 2<br />

� 0<br />

Then the high zero sum weighting for G<br />

exists which uses only one variable x1 , so<br />

� ( G)<br />

� 1<br />

m<br />

Case 2: if f ( un)<br />

� x2<br />

if n is odd<br />

f ( w ) � x ��<br />

� x ��<br />

� x ........ � 0 to satisfy<br />

�<br />

wj�N<br />

( vi<br />

)<br />

j<br />

2<br />

2<br />

the zero sum weighting<br />

� x 2 � 0,<br />

then the high zero sum weighting<br />

exist of G2 and we get<br />

�� m ( G)<br />

� 1 Since use only one variable<br />

In general if two m-connected graph<br />

G 3 and G4<br />

, where G3 � ( P2<br />

n�1<br />

� P2<br />

n�1)<br />

and<br />

G � ( P � P ) we have the Following results<br />

4 n m<br />

about 3 G and G 4<br />

Theorem 2-6<br />

Singularity of the m-connected graph<br />

3 2 �1 2 �1<br />

� � G P n P n equal to 2 if and only if<br />

2n+2 � 0mod4<br />

Proof: Let the weights of the vertices of 3 G<br />

be of the form as shown in figure(5)<br />

X1<br />

X2<br />

Fig (5)<br />

To apply the condition ��<br />

2<br />

wi<br />

N ( ui<br />

)<br />

f ( w ) � 0 and since<br />

the order of P 2n�1 has odd subscribed of n<br />

Such that f ( u1<br />

) � x1,<br />

f ( u2)<br />

� 0,<br />

f ( u3)<br />

� �x3<br />

and so on, then<br />

f w ) � x � � x ��<br />

� x ��<br />

� x ........ � 0<br />

�<br />

( i 2 � 2<br />

�<br />

2<br />

wi�N<br />

( ui<br />

)<br />

�<br />

And f y ) � x ��<br />

� x ��<br />

� x ��<br />

� x � .... � 0<br />

( i 1 1 1 1<br />

yi�N<br />

( vi<br />

)<br />

It shown that we are used exactly 2 non-zero<br />

distinct independent variables to obtain a high zero<br />

sum weighting of the m-connected graph G 3<br />

And we get � ( G3)<br />

� 2<br />

Proposition 2-7<br />

( 3) 0 � G � if n is even<br />

m<br />

ο<br />

ο<br />

m<br />

-<br />

x1<br />

-x2<br />

i<br />

209


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

Proof: it is obvious since f ( v ) � 0 and<br />

( x v f n �<br />

210<br />

1 1 ) � � so<br />

��<br />

w N ( v )<br />

i<br />

f ( w ) � 0 which is not<br />

posses The zero sum weighting, and G3 has no highzero<br />

sum weighting.<br />

Theorem 2-8<br />

The singularity of the m-connected graph<br />

G4 � ( Pn<br />

� Pk<br />

) is defined as follow<br />

i)<br />

�m<br />

( G4)<br />

� 2 if both ( n,<br />

k)<br />

�1<br />

� 0mod<br />

4<br />

ii)<br />

�m<br />

( G4)<br />

� 1 if n �1<br />

� 0mod<br />

4 or k �1<br />

� 0mod<br />

4<br />

iii)<br />

�m<br />

( G4)<br />

� 0 otherwise<br />

Proof:<br />

Case i: since n+1=0 mod 4 and<br />

k+1=0 mod 4, so the weights of the<br />

vertices of Pn and Pk are of the form<br />

i<br />

x1, o,<br />

� x1,<br />

o,.......<br />

and x2,<br />

o,<br />

�x2,<br />

o,.....<br />

respectively and the condition<br />

f ( w ) � 0 is hold for each ui �G4 � Pn<br />

� Pk<br />

�<br />

wi�N<br />

( ui<br />

)<br />

i<br />

Which implies that G4 posses the zero sum<br />

weighting and has a high zero sum weighting which<br />

uses only two non-zero distinct independent variables<br />

x1 and x2 (shown in Fig (6)).<br />

Pk<br />

Pn<br />

Fig (6): High zero-sum weighting of G4=Pn<br />

So we get ( 4 ) 2 � G � m<br />

Case ii: If n+1 � 0 mod 4 , then the only variable<br />

f ( w ) � 0 and take<br />

used is x1 and to apply<br />

��<br />

w N ( u )<br />

f ( uk<br />

) � 0 (the weights of last vertex) Since<br />

where n+1 � 0 mod 4 → n=3,7,11,.... ,<br />

f ( v1<br />

) � x2<br />

� o � x2<br />

� o � x2<br />

�.....<br />

� x2<br />

by the<br />

subscribed of K which equal to 5,9,13,…<br />

� x1 � x2<br />

Since f(v1)=x1<br />

In the same way<br />

if n �1 � 0mod<br />

4<br />

Then<br />

, k �1<br />

� 0mod<br />

4<br />

f ( u ) � x � o � ( �x<br />

) � o � x � .... � x<br />

1<br />

� x<br />

2<br />

f(v1)<br />

X2<br />

X<br />

1<br />

1<br />

� x<br />

1<br />

o<br />

o<br />

sin ce<br />

1<br />

-<br />

x1<br />

-<br />

x2<br />

1<br />

o<br />

o<br />

i<br />

1<br />

f ( u ) � x<br />

i<br />

2<br />

i<br />

i<br />

1<br />

n<br />

f(uk)<br />

Then G4 has a high zero sum weighting<br />

which used exactly one variable x for weights of<br />

vertices of G4 to obtain the zero sums weighting<br />

for the graph G4.<br />

�� m(<br />

G4)<br />

�1<br />

Case iii: If ( n , m)<br />

�1<br />

� 0mod<br />

4<br />

Then ( v ) � 0<br />

f i or x1 in Pn<br />

f ( ui<br />

) � or x2 in Pk<br />

And 0<br />

And we can not have the zero sum weighting<br />

in any way<br />

( 4) 0 � � � m G<br />

Theorem 2-9<br />

If G5 � Pn<br />

� Pk<br />

where Pn & P k are path of<br />

order n,k respectively , n and k are odd , then<br />

� ( G ) � 2 if both ( n,<br />

k)<br />

�1<br />

� 0mod<br />

4<br />

m<br />

� ( G ) � 1<br />

m<br />

� ( G ) � 0<br />

m<br />

5<br />

5<br />

5<br />

if<br />

n �1<br />

� 0mod<br />

4<br />

otherwise<br />

or<br />

k �1<br />

� 0mod<br />

4<br />

Proof<br />

i) It is obvious and similar as in Th.2-8<br />

( 5) 2 � G � , shown in figure (7).<br />

m<br />

Pm<br />

Fig(7)<br />

f ( vn)<br />

� 0 or � x<br />

And<br />

f ( w ) � x � 0 � ( �x<br />

) � 0 � x � ........ � 0 or x<br />

ii) If n+1 � 0mod4, then 1<br />

�<br />

Pn<br />

X2<br />

wi�N<br />

( vn<br />

)<br />

i<br />

2<br />

2<br />

Since k �1<br />

� 0mod<br />

4<br />

Then x 2 � 0 to apply zero sum weighting<br />

( 5) 1 �<br />

� � m G<br />

In the same way if k+1=0mod4 and n is not<br />

in case three<br />

iii) If ( n , k)<br />

�1<br />

� 0mod<br />

4<br />

Does not posses the zero sum weighting the<br />

high zero sum weighting of G2 is zero<br />

� � ( G)<br />

� 0<br />

m<br />

X<br />

1<br />

O<br />

o<br />

-x1<br />

-<br />

x2<br />

o<br />

..................<br />

............<br />

2<br />

2<br />

o


X<br />

1<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

3- SINGULARITY OF M-CONNECTED<br />

GRAPH CK � PN<br />

Cycle graph: Is a simple graph whose vertices<br />

can be arranged in a cyclic sequence in such<br />

away that two vertices are adjacent if they are<br />

consecutive in the sequence and are non adjacent<br />

otherwise.<br />

C3 is a cycle graph with three vertices and three<br />

edges, where it is non-singular graph.<br />

i.e. � ( C3)<br />

� 0 . see[8 ]<br />

we construct an m-connected graphs<br />

G * ,G ** ,G *** by join C3,C4,Ck with path Pn<br />

,n=1,2,3,… and we get the following result<br />

theorem.<br />

Theorem 3-1<br />

i) � m (C3 � Pn)=1 if n+1 � 0mod4<br />

ii) � m (C3 � Pn)=0 otherwise<br />

Proof:<br />

To apply join operation between two graphs<br />

C3 and Pn we must join each vertex of C3 with all<br />

vertices of Pn and we get m-connected graph G *<br />

Shown in fig (8), we give the weighting of<br />

the Vertices of Pn by the form x1,o,-x1,.... and<br />

zero for the vertices of C3,<br />

i) if n+1 � 0mod4, then<br />

�<br />

wi�(<br />

ui<br />

)<br />

vi�C3<br />

f (un)=-x1 implies that<br />

f ( w ) � x � o � ( �x<br />

) � .... � 0 ( since n has an<br />

i<br />

1<br />

Odd subscripted)<br />

And<br />

�� ( x ) � o � o � o � ... � 0<br />

f<br />

xi�N<br />

( ui<br />

)<br />

ui<br />

Pn<br />

i<br />

1<br />

Then we obtain the zero sum weighting<br />

*<br />

which Implies that G � ( C3<br />

� Pn<br />

) has a high<br />

zero sum weighting then it is singular, and we<br />

used exactly one variable, then � m (G * )=1<br />

iii) If n �1�<br />

0mod<br />

4,<br />

then f(ui)=0 or x1<br />

and we cannot get the zero sum weighting for<br />

o<br />

any vertex of G * then � m (G * )=0<br />

O<br />

o<br />

-X1<br />

O<br />

Fig (8)<br />

Fig (8)<br />

o<br />

-X1<br />

Now for the graph C4 (the cycle of four<br />

vertices and four edges) where it is singular as<br />

shown in the following lemma.<br />

Lemma 3-2 [6] and [7]<br />

The singularity of the cycle graph C4 is 2.<br />

Proof: It is obvious since we used two<br />

independent variables to get the zero sum<br />

weighting x and y, so<br />

� m (C4) =2<br />

-z<br />

Fig(9)<br />

While the construction m-connected graph C4<br />

with Pn get a new result.<br />

Theorem 3-3<br />

The singularity of m-connected G ** �<br />

(C4 � Pn), n=2,3,… , is defined as follow:<br />

i) � m (C4� Pn)=3 if n+1=0mod4<br />

ii) � m (C4� Pn)=2 otherwise<br />

X<br />

12<br />

o<br />

-x1<br />

y<br />

-y<br />

Fig (10)<br />

-z<br />

z<br />

o<br />

y<br />

-y<br />

-X1<br />

Or<br />

O<br />

Or<br />

X1<br />

z<br />

211


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

proof: to construct the m-connected graph<br />

G ** = C4 � Pn we must join every vertex<br />

{v1,v2,v3,v4}of C4 with all vertices {u1,u2,…..,un}<br />

in Pn<br />

Now we weights the vertices of new graph<br />

G ** by the variables shown<br />

In fig (10)<br />

i)If n+1=0mod4 then the number of vertices of<br />

Pn must be (3,7,11,…in each case<br />

�<br />

wi�N<br />

( vi<br />

)<br />

212<br />

f ( w ) � x � o � ( �x<br />

) � .... � x � o � ( �x<br />

) � 0<br />

i<br />

and ��<br />

1<br />

xi<br />

N ( ui<br />

)<br />

1<br />

f ( x ) � y � z � ( �y)<br />

� ( �z)<br />

� o � 0<br />

i<br />

For each vertex ui of Pn<br />

then G ** has a high zero sum weighting.<br />

And we get easily the zero sum weighting<br />

which used exactly three non zero distinct<br />

independent variable y,z,x1<br />

Then � m (C4+Pn)=3<br />

ii)If n �1�<br />

0mod<br />

4,<br />

then the number of<br />

vertices of Pn is 2,4,5,6,8,…. And doesn't<br />

posses the zero sum weighting since<br />

f ( w ) � 0<br />

�<br />

i<br />

wi�N<br />

( vi<br />

)<br />

Since f(vn)=0 or x1 and � f<br />

i�2,<br />

3,<br />

4,....<br />

But ��<br />

xi<br />

N ( ui<br />

)<br />

1<br />

1<br />

( v ) � 0<br />

f ( x ) � z � y � ( �z)<br />

� ( �y)<br />

� 0 , then<br />

i<br />

we used exactly two variables , y and z<br />

� � m ( C4<br />

� Pn<br />

) � 2 if n �1�<br />

0mod<br />

4<br />

In general Ck is a cycle graph of k vertices<br />

and the condition to make Ck singular is proved<br />

in the theorem below.<br />

Theorem3-4 [1] and [8] Singularity of Ck<br />

k<br />

� ( C ) � 1�<br />

( �1)<br />

, k=3,4,….<br />

k<br />

Theorem3-5<br />

For m-connected graph G *** � (Ck+Pn) we<br />

have the following results<br />

i) � ( Ck � Pn<br />

) � 3if<br />

k � 0mod<br />

4 and n �1<br />

� 0mod<br />

4<br />

ii) � ( Ck � Pn<br />

) � 2if<br />

k � 0mod<br />

4 and n �1<br />

� 0mod<br />

4<br />

iii) � ( � P ) �1if<br />

k � 0mod<br />

4 and n � 1 � 0mod<br />

4<br />

Ck n<br />

iv)<br />

� ( Ck � Pn<br />

) � 0if<br />

k � 0 mod 4 and n �1<br />

� 0 mod 4<br />

Proof:<br />

Let u1,u2,….,uk and v1,v2,….,vn be the<br />

labeled vertices of Ck and Pn respectively after<br />

given<br />

The weighting of each vertex of m-connected<br />

graph G ***<br />

Be having the following cases:<br />

If k=0mod4 and n+1=0mod4 then<br />

i) from<br />

�� f ( w)<br />

� 0,<br />

x1+o+(-x1)+o+…=0<br />

w N ( ui<br />

)<br />

i<br />

Since we have (n+1=0mod4).<br />

i.e v ( p ) � 3,<br />

7,<br />

11,...<br />

in each case the sum<br />

n<br />

of the weights equal to zero.<br />

And from �� f ( w)<br />

� 0 , y1+y2+….+yk=0<br />

w N ( vi<br />

)<br />

Then f(uj)=y1 for odd subscript j and f(up)=y2<br />

for even subscript p<br />

� y1 � y3<br />

� y5<br />

and y 2 � �y6<br />

� �y8<br />

� .....<br />

Then a high zero-sum weighting for G ***<br />

exists as shown in fig (11)<br />

Thus uses exactly x1,y1 and y2 non-zero<br />

distinct independent variables<br />

Therefore � m (G *** )=3<br />

ii) if n �1<br />

� 0mod<br />

4<br />

Then<br />

k<br />

( v ) � 0<br />

� f since f(vn)=0 or x1<br />

i<br />

i�1<br />

To apply x1+(-x1)+o+x1+….=0 we must have<br />

x1=-x1=0<br />

And the only distinct independent variables<br />

are used to given a high zero sum weighting of<br />

G *** are y1 and y2<br />

Therefore m<br />

� (G *** )=2<br />

Now if k � 0mod<br />

4 we have<br />

iii) if n+1 � 0mod 4<br />

from<br />

�� f ( w)<br />

� 0,<br />

x � ( �x<br />

) � o �....<br />

� 0<br />

w N ( ui<br />

)<br />

1<br />

And it is true since we have n=3,7,11,….<br />

And from �� f ( w)<br />

� 0 we have<br />

w N ( vi<br />

)<br />

y1+y2+y3+…+yn=0 implies that<br />

y1=y2=y3=……=yn=0<br />

to obtain the high zero sum weighting .<br />

And we used exactly one variables x1 that is<br />

� m (G *** )=1<br />

iv) if n �1<br />

� 0mod<br />

4<br />

it is obvious that x1=-x1=0 and y1=y2=…..=yk<br />

to get the high zero sum weighting<br />

That is � m (G *** )=0<br />

1


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

Pn<br />

Fig (11): A high zero-sum weighting for Ck � Pn<br />

4-SINGULARITY OF COMPLETE<br />

BIPARTITE GRAPH<br />

In this section we shall extend the idea of<br />

zero-sum weighting defined in [5,6] and [8] and<br />

the new technique of evaluating the singularity<br />

of a graph by determining the number of distinct<br />

independent variables in a high zero-sum<br />

weighting for the connected bipartite graph<br />

G(V1,V2) and complete bipartite graph Kp,n , the<br />

graph Kp,n defined in [4].<br />

Definition4-1:<br />

A bipartite graph G=(V, E) in which V can be<br />

partitioned into two subsets V1 and V2 so that<br />

each edge in G connects some vertex in V1 to<br />

some vertex in V2.<br />

In the mathematical field of graph theory, a<br />

complete bipartite graph or biclique is a special<br />

kind of bipartite graph where every vertex of the<br />

first set is connected to every vertex of the<br />

second set. i.e. each vertex in V1 is connected to<br />

each vertex in V2. If /V1/=p and /V2/=n, then<br />

corresponding complete bipartite graph is<br />

represented Kp,n fig(12).<br />

p<br />

a<br />

b<br />

c<br />

X1<br />

yk<br />

o<br />

y1<br />

-<br />

x1<br />

o<br />

q<br />

r<br />

s<br />

Ck<br />

Fig (12): Complete bipartite graph K3,4<br />

y2<br />

y3<br />

y4<br />

In the remaining part of this paper, we<br />

assume that the vertices of V1 and V2 are labeled<br />

{v1,v2,v3,….,vp}, and {u1,u2,u3,….,un}<br />

respectively.<br />

Notation: A complete bipartite graph has p+n<br />

vertices (of order p+n)and size np (edges),for<br />

any k , K1,k is called a Star graph. All complete<br />

bipartite graphs which are trees are Stars, and the<br />

graph K1,3 is called a Claw, and used to defined<br />

the Claw-free graphs, where the graph K3,3 is<br />

called the utility graph. While Kp,p called Moor<br />

graph and Kp,p+1 is a Turan graph.<br />

Lemma4-2:<br />

The adjacency matrix of a complete bipartite<br />

graph Kp,n has eigenvalues np ,- np ,0 ;with<br />

multiplicity 1,1,n+p-2 respectively.[8].<br />

It comes from the fact that for a symmetric<br />

real matrices A the total multiplicity of non zero<br />

eigen values is the rank. Since the adjacency<br />

matrix of Kp,n has rank 2, it has two non zero<br />

eigenvalues � 1 and � 2 . With the sum of all<br />

eigenvalues is equal to 0 , so � 1 � �2<br />

� c for<br />

some positive constant c. Hence the<br />

characteristic polynomial of Kp,n is<br />

2 2 p�n�2<br />

p�n<br />

2 p�n�2<br />

( �)<br />

� ( � � c ) � � � � c �<br />

PK p,<br />

n<br />

and proved in [8] the sum eigenvalues of any<br />

2<br />

graph is zero and �� � 2q<br />

(q is the number<br />

i<br />

of edges of G) , then –c 2 is equal to -1 times the<br />

number of edges of Kp,n.<br />

i.e. –c 2 =-np. We can obtain that c � np .<br />

Therefore the spectrum of the complete bipartite<br />

graph Kp,n consists of np , � np and<br />

(p+n-2) eigenvalues equal to zero.<br />

Theorem4-3:<br />

the singularity of complete bipartite graph<br />

Kp,n is p+n-2<br />

i.e. � ( , ) � p � n � 2<br />

m K p n<br />

x1<br />

y1<br />

x2<br />

y2<br />

x3<br />

Fig(13)<br />

y3<br />

yp<br />

xn<br />

213


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

Proof:<br />

For each vertex in G let y1,y2,…..,yp be the<br />

weights of the other vertices of V1 and the<br />

weights of the other vertices of V2<br />

x1,x2,…..,xn.<br />

be<br />

For each vi of V1 there are n vertices in<br />

neighborhood of vi . i=1,2,…p , and<br />

f ( w ) � x � x �.....<br />

� x to apply the<br />

�<br />

w �N<br />

( v )<br />

i<br />

214<br />

i<br />

i<br />

1<br />

2<br />

condition � f ( wi<br />

) � 0<br />

wi�N<br />

( vi<br />

)<br />

x1+x2+…..+xn=0 , put xn= -x1-x2-……-xn-1<br />

and for each uj of V2 there are p vertices in<br />

neighborhood of each uj , j=1,2,….,n , and<br />

f ( s ) � y � y �....<br />

� y to apply the<br />

�<br />

s �N<br />

( u )<br />

j<br />

j<br />

condition �<br />

s �<br />

j<br />

j<br />

1<br />

N ( u )<br />

2<br />

f ( s ) � 0<br />

j<br />

j<br />

y1+y2+….+yp=0 put yp=-y1-y2-……-yp-1<br />

then a high zer-sum weighting for G1 exist ,<br />

that uses exactly (n-1)+(p-1) non-zero distinct<br />

independent variables.<br />

Therefore � ( , ) � n � p � 2 .<br />

Theorem<br />

K1,n is n-1<br />

4<br />

-3:<br />

m K p n<br />

n<br />

p<br />

The singularity of Star Graph<br />

i.e. S(K1,n) =n-1<br />

Proof: It is obvious from the above theorem,<br />

since Star graph is a special type of complete<br />

bipartite graph Kp,n. Let f(v1) =0,and the<br />

weights of the other vertices are as shown in<br />

fig(14), we get<br />

�<br />

f<br />

( i 1 2<br />

n<br />

w ) � x � x � ..... � x � 0<br />

X1<br />

X2<br />

Xn<br />

Fig (14)<br />

Implies that xn=-x1-x2-x3 ……-xn-1,then the<br />

high zero sum weighting exist and used exactly<br />

n-1 non zero distinct independent variables.<br />

X3<br />

f(v1)=0<br />

X4<br />

5- APPLICATION<br />

Graph spectra (The set of eigenvalues of the<br />

adjacency matrix A(x) which is symmetric,<br />

square, zero diagonal and (0, 1) matrix of the<br />

graph G) has been applied and has become<br />

important in some scientific fields, such as<br />

combinatory, quantum chemistry, physics and<br />

computational algorithms. The first<br />

mathematical literature discussing the spectra of<br />

graphs is the fundamental papers of L.M.<br />

Lihtenbaum (1956) and of L. Collatz and V.<br />

Sinogowints (1957) and D.M. Cvetcovic after<br />

them. Mathematicians study the spectra of<br />

graphs because they hope by combining graphs<br />

with linear algebra, in particular the welldeveloped<br />

theory of matrices, to investigate the<br />

properties of graph s and further classify graphs.<br />

We can use eigenvalue to deduce an easy result<br />

about bipartite graphs. If G has bipartition (V1,<br />

V2) and if x is an eigenvector with corresponding<br />

eigenvalue� , then we can replace the label xi<br />

with –xi for each vertex in V1 to get an<br />

eigenvector with corresponding eigenvalue - � .<br />

Hence � and - � have the same multiplicity,<br />

and the spectrum that is symmetric about 0, then<br />

the trace of A and A 2k+1 is 0 and the graph<br />

contains no odd cycles, and so G is bipartite.<br />

This fields one of the oldest results concerning<br />

the spectra of graphs. [7] and [8].<br />

Theorem 5-1: A graph is bipartite if and only if<br />

its spectrum is symmetric about 0.<br />

Suppose that Vi and Vj are non-adjacent vertices<br />

with the same neighbors, and suppose that x is<br />

an eigenvector with eignvalue� . If ∑ is the sum<br />

of the labels vertices on the neighbors of vi and<br />

vj, then clearly � xi=(Axi) = ∑=(Ax)j= � xj.<br />

And hence � (xi-xj)=0.see[4] and[7]<br />

Theorem 5-2: If V and U are non-adjacent<br />

vertices with the same neighbors, and if x is an<br />

eigenvector with eignvalue� , then v and u have<br />

the same label or � =0.<br />

5-3 Lower bounds for the eigenvalues:<br />

Finding lower bounds for the eigenvalues of<br />

graphs has been a recurring theme in the study of<br />

graph spectra.<br />

In this section we use � (G) to denote the<br />

smallest eignvalue.<br />

[4,p.40]<br />

Lemma 5-4: Let G be a connected graph with<br />

least eignvalue � (G), then<br />

i- � (G) ≤0 with equality for a null graph<br />

(without any edge)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

i- if G is not null, then � (G) ≤ -1, with equality<br />

iff G is complet<br />

ii- if G is neither complete nor null,then � (G) ≤<br />

-√2 with equality iff G= K1,2<br />

iii- if G is neither complete nor K1,2 and if<br />

� (G)≥ -1.5, then G is<br />

Fig (15)<br />

proof: Since the trace of any adjacent matrix is<br />

0, � (G) ≤ 0 iff a graph has an edge, then that<br />

edge is a two-vertex induced sub graph with<br />

least eignvalue -1, implies � (G) ≤ -1 .<br />

if G is not complete graph, then K1,2 is an<br />

induces sub graph with least eignvalue -√2 ,<br />

Among the graphs G with four vertices the one<br />

given in the last statement is the only one with<br />

least eignvalue � (G)≥ -1.5<br />

5-5 Upperbound of the eignvalue<br />

How we find graphs with eignvalues bounded<br />

from below by -2, similarly we can find graphs<br />

with eignvalues bounded from above by 2.<br />

i<br />

j<br />

k<br />

Fig (16 ) the graph T(i,j,k)<br />

we define the graph T( i, j, k), shown in<br />

fig(16 ) take three paths pi, pj and pk and add a<br />

new vertex adjacent to one end vertex of each<br />

path. The graph is then a tree with i+j+k+1<br />

vertex, tree pendant vertices and one vertex of<br />

degree 3.<br />

Now we form a matrix X from a set of<br />

vectors, where the inner product of any two<br />

vectors is 0 or 1.<br />

We can then define the adjacent matrix of G<br />

by equal XX T = 2I – A(G)<br />

And we will have a graph whose eignvalues<br />

are bounded from above by 2.<br />

Theorem 5-5: If G is a graph with largest<br />

eignvalue � 1=2, then G is one of the following<br />

graphs Cn, K1,4 , T(2,2,2), T(3,3,1), T(5,2,1) or<br />

Fig (17)<br />

Corollary 5-6: If G is a graph with largest<br />

eignvalue � 1< 2, then G is a path Pn, T(1,1,r),<br />

T(1,2,4), T(1,2,3) or T(1,2,2)<br />

5-5 An application in chemistry:<br />

Cayley in Beineke [ 3, p.434] found the<br />

earliest application of graph theorem (spectra) to<br />

chemistry in 1857 when he enumerated the<br />

number of rooted trees with a given number of<br />

vertices. Chemical molecule can be represented<br />

by a graph by taking each atom of the molecule<br />

as a vertex of the graph, and the edges of the<br />

graph represent atomic bonds between the end<br />

atoms property [3, p.420] such that two<br />

isomorphic graphs must either both have the<br />

property, or both lack it , is said to be a graph<br />

invariant.<br />

H<br />

H<br />

H<br />

H<br />

H<br />

Fig (18): isomers of C5H12<br />

The question of isomorphism is a particular<br />

interest to chemists. The necessary condition for<br />

a molecule to be stable (means have no zero<br />

eigenvalue in the spectra, i.e. Singularity of such<br />

graphs is zero) is that it must have an even<br />

number of atoms. However the singularity of the<br />

Isomer in figure (18) is 7.Thus as a chemical<br />

property, we mention that the isomer is stable<br />

more than any other molecular has the<br />

singularity more than 7. As a general case ,<br />

paraffin's have the molecular formula<br />

CkH2k+2.They have 3k+2 atoms(vertices) of<br />

which k is carbon and 2k+2 are hydrogen atoms.<br />

They have 3k+1 bonds (edges), hence, for large<br />

k, many isomers of the same compound are<br />

determined.<br />

H<br />

H<br />

H<br />

H<br />

H<br />

H<br />

215<br />

H


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 207-216, 2011<br />

As a mater of fact, isomers with minimum<br />

singularity will appear mostly in nature. Apply<br />

weighting technique, we can show that<br />

� m ( CkH2k+2) ≥ k+2 ,equality holds for all<br />

paraffin compounds whose shape is like Figure<br />

(15). That is, the straight shape is the most stable<br />

isomer out of all. In [7] it is proved that the<br />

necessary condition for a molecule to be<br />

stable(to have no zero eigenvalue in the spectra,<br />

i.e. the singularity is zero) is that it must have an<br />

even number of atoms(vertices).<br />

REFRENCES<br />

- B.Andras Fay, Graph theory: Flows, Matrices, Adam<br />

Hilger,Bristol,1991.<br />

- S.Axler and K.A.Ribet , Graph theory, Graduate texts in<br />

Mathematics,1993.<br />

- L.w.Beineke and R.J.Wilson; Selected Topics in Graph<br />

Theory, Academic press, Inc, London,1978 .<br />

- L.W.Beineke,R.J.Wilson and P.J.Cameron,Topics in<br />

Algebraic Graph theory,2004.<br />

216<br />

m<br />

ىةلث ةب ووتسطكةي ىفاسط ؤب وابان ىةلث<br />

- Bondy, John Adrian; Murty; U.S.R. ,Graph theory with<br />

Applications,1976.<br />

- M.Broun, J.W.Kennedy and B.Servatins ; Graph<br />

Singularity, Graph Theory notes of<br />

NewYork,vol.25(1993) 23-32.<br />

- D.M.Cvetcovic ,M.Doob ,I.Gutman and A.Torgasev;<br />

Recent Result in the Theory of Graph Spectra,<br />

North Holland, Amsterdam,1988.<br />

- D.M.Cvetkovic, M.Doob and Sachs; Spectra of Graphs,<br />

Academic Press, New York, 1979.<br />

- Kh.R.Sharaf and D.H.Mohammed; Degree of Singularity<br />

of Product of graphs, Jornal of Duhok University,<br />

vol.9,no.1,(2006) 39-50.<br />

- Kh.R.Sharaf and P.A.Rashed; On the Degree of the<br />

Singularity of a graph, Journal of Dohuk<br />

University, vol.5,no.2,(2002) 133-138.<br />

- Skiena,S.Implementing Discreat, Mathematics:<br />

Combinatories and Graph Theory with<br />

Mathematica. Addison-Wesely, 1990.<br />

ةتخوث<br />

ىىكَيفاسفاسط دنةض ةل َىون ىووتسطكةي ىفاسط دنةض ىةوةهيشؤد ؤب ةيةوةهيرَيوت مةل ةواهَيهزاكةب � ىزادسك<br />

ةووتسطكةي , ةفاسط ىوابان ىةلث ىةوةهيشؤد ؤب ةووتاهزاكةب ىناكةزةس ؤب ىسفسان ىشزةب ىندسكشَيك ةو , تةبيات<br />

ىةزامذ ةتاكةد فاسط ىوابان ىةلث ةك ةواسهَيلمةس اهةوزةه , ةووب<br />

اديةث ناكةفاسط ىندسكؤك ىمانجةئ ةل ةك ناكةيَيون<br />

شيهيَلؤكَيل اهةوزةه . َىسهَيهةدزاكةب ىشزةب ىندسكشَيك ةل ةك شاوايج ىؤخةبزةس ىسفسان ىناكةواِزؤط ةل تسيوَيث<br />

و ( Pn � P<br />

k<br />

) � ( Pn<br />

� C<br />

k<br />

) ةل ينتيسب ةك ةناي َىون ةووتسطكةي ةفاسط ةزؤج مةئ ىوابان ىةلث ىندسكزامذةه ؤب ةواسك<br />

[6] ةىل M.Brown و [7] ةىل Cvet Kovic ةك شزةب ىندسكشَيك ىكيهكةت ىندسكَيجةب َىج ةب نايناكةيتةبيات ةزاب<br />

. ةواهَيه نايزاكةب<br />

) تلااصتلأا نم m ( ةلصتملا<br />

تانايبلل ذوذشلا ةجرد<br />

: ةصلاخلا<br />

ةت لتخم تاجردتب ةتصاب تاتنايب نتم ةلتصتم تاتنايب اتنتتسلأ نينايب لاصتأ<br />

� ةيئانثلا ةيلمع انمدختسا ثحبلا اذه ىف<br />

ةتتيلمع نتتع ةتتاتانلا ودتتىدالا تاتتنايبلل ذوذتتشلا ةتتجرد داتتاىلأ سوذتتتلل جت تتصلا تتتيللا ىلاتتيلا نىزاتتتلا وتتتةف انمدختتتسأو ،<br />

ةىت تصلالا ةلةتتسملا تاتتيلتملا ددع جواست تانايبلا كلتل ذوذشلا ةجرد نأب انتبثأو ةلصتم تانايب نع ورابع ىهو لاصتلأا<br />

. ىلايلا هنىزات ىف مدختست ىتلا ة لتخملا<br />

تلااتتحلاو ( Pn � C<br />

k<br />

) و ( Pn � P<br />

k<br />

) لاتصتلأا<br />

ةتتيلمع نتم ةتتاتانلا ودتىدالا تاتنايبل ذوذتتشلا ةتجرد اتتستبأ تتت كلذتك<br />

.<br />

[6] ىفM.Brawnو<br />

[7] ىف ىقابلاو cvetkovic اهمدختسأ جذلا ىلايلا نىزاتلا ةينةت تيميتو قيبطتب اهنم لةل ةصاخلا


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 217-222, 2011<br />

A STUDY OF NAUPLIAR STAGES OF Mesocyclops edax FORBES,<br />

1891(COPEPODA: CYCLOPOIDA)<br />

LUAY A. ALI * and KAZHAL H. H. RAHIM **<br />

* Dept. of Biology, College of Education-Scientific Dept, University of Salahaddin, Kurdistan Region-Iraq<br />

** Dept. of Basic Science, College of Nursing, Hawler Medical University, Kurdistan Region-Iraq<br />

(Received: December 22, 2010; Accepted for publication: May 5, 2011)<br />

ABSTRACT<br />

The present study conducted to define the naupliar stages of Mesocyclops edax (Copepoda: Cyclopoida) in the<br />

laboratory. Eggs of adult females were isolated and incubated in sterile petridish at 25±1C ◦ . During the follow up of<br />

the development of these eggs for 5 to 6 days, all six nauplius stages were observed. The study was included the<br />

descriptions of obtained naupliar stages.<br />

KEYWORDS: Nauplius, Mesocyclops edax, Copepoda, Cyclopoida<br />

C<br />

INTRODUCTION<br />

opepods are very small crustaceans,<br />

most ranging from less than one<br />

millimeter to several millimeters in length. Freeliving<br />

freshwater copepods can be distinguished<br />

from other small aquatic invertebrates by a<br />

variety of morphological characteristics.<br />

Knowledge of naupliar morphology is indispensable<br />

for the investigation of stagedependent<br />

biological and ecological phenomena<br />

and the elucidation of phylogenetic<br />

relationships. As part of present study of the life<br />

cycle of fresh-water Cyclopoida, is describe the<br />

naupliar stages of Mesocyclops edax.<br />

Many previous studies have been done on<br />

the life cycles of copepoda in different parts of<br />

the world. A study of the development of larval<br />

stages of seven species of marine copepoda<br />

made by Oberg (1906). These species included<br />

representatives of four different families in all<br />

these species and he found six naupliar. While,<br />

Byrnes (1921) described the metamorphosis of<br />

Cyclops americanus and C. signatus, but only<br />

gave three naupliar stages, which correspond<br />

very closely to stage II, IV and VI. However,<br />

Manfredi (1923) investigated the development of<br />

Cyclops bicuspidatus, C. serrulatus and C.<br />

prasinus and found five naupliar. A study of the<br />

life cycle of C. bicuspidatus was made by<br />

Armitage and Tash (1967). A revision of the<br />

African species of the genus Mesocyclops was<br />

published by Velde (1984), he recorded twelve<br />

species of Mesocyclops in his study, four of<br />

them were described as new species, in addition<br />

to recording of M. leuckarti for the first time in<br />

Africa. On the other hand, naupliar development<br />

of Mesocyclops edax was described by Dahmas<br />

and Ferrnando (1995).<br />

In Iraq generally and in Kurdistan<br />

particularly, most previous studies on copepod<br />

were mainly restricted to surveying different<br />

species in different aquatic environment, there<br />

are no study on life cycles of copepoda, this<br />

study become the first study of naupliar stage of<br />

free copepod in Iraq in general and in Kurdistan<br />

region in particular.<br />

MATERIAL AND METHODS.<br />

Greater Zab River is a large river (392 km)<br />

in Iraq. This river is one of the main tributary of<br />

the Tigris, it originates mainly from<br />

mountainous area of Iran and Turkey. It is<br />

situated between 36 ◦ -37 ◦ north latitudes and 43 ◦ -<br />

44 ◦ east longitude (Grabda, 1963). During this<br />

study, the samples were collected near Khabat<br />

sub district far about (40 km) to the west of Erbil<br />

city (Fig. 1), during the period of June 2009.<br />

Samples were collected by filtering, 50 liter of<br />

the river water by using planktonic net, with 55<br />

µm pore size then the samples were concentrated<br />

to 10 ml of river water.<br />

After returning to the laboratory the adult<br />

female of copepods is began to produce the eggs<br />

were placed in small petridish with little amount<br />

of distal water at 25±1 C º and drop of water at 25<br />

C º were added every six hour by using small<br />

syringe reparation. Then they were placed in<br />

incubator at 25 ±1 C º (Grabda, 1963 and<br />

Tsotetsi, 2005). Every day plastic cups checked<br />

under dissecting microscope and the nauplius<br />

stage observation made daily. Photos taken for<br />

217


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 217-222, 2011<br />

each stage by using Olympus compound<br />

microscope and digital camera model (Sony,<br />

DSC-W55).<br />

RESULTS AND DISCUSSION<br />

Mesocyclops edax was originally described<br />

from Lake Superior of North America (Forbes,<br />

1891). Generally, cyclopoida exhibit complex<br />

life cycles and relatively long generation times<br />

compared with other zooplankton. The lifecycle<br />

consists of six nauplius stages, followed by five<br />

218<br />

copepodid larval stages before final molt into<br />

adult. The eggs typically hatch as nauplius<br />

larvae which are not resemble their parents.<br />

They are much smaller, broader in proportion,<br />

have only a few pairs of limbs, and possess no<br />

tail end to their body, they may be colorless, the<br />

only conspicuous part of them being their eye<br />

(Sommer, 1989 and Marshall and Williams,<br />

2002). In this study, the naupliar stages of<br />

Mesocyclops edax has been descibed.<br />

Fig. (1): Map of Iraq, insert location of sampling sites of Greater Zab, River (Map info. Vers. 9).<br />

Nauplius I<br />

This stage was demonstrated after 6-12<br />

hours immediately after egg hatching at<br />

25 � 1°C body length 72-82 µm, width 62<br />

µm (Fig. 2). This instar more nearly<br />

spherical in cross section than later stages.<br />

Labrum bearing spinule row along caudal<br />

margin, 2 larger spinules at either<br />

laterocaudal corner. Ventral body wall<br />

bearing groups of spinules along both lateral<br />

margins. Hind body bearing medial row of<br />

long spinules and 2 rows of small spinules<br />

laterally. Long seta on either side of hind<br />

body. Antennule consisting of 5 segments.<br />

Proximal 2 segments devoid of conspicuous<br />

armature. Third segment bearing 1 anterior<br />

seta plus spinule and row of spinules along<br />

outer margin; 1 of these much longer than<br />

other spinules throughout phase. Fourth<br />

segment bearing 2 setae throughout phase,<br />

proximal seta small, distal seta large and<br />

spinulose, more than 3 times as long as<br />

proximal seta. Distal fifth segment bearing 2<br />

spinulose setae terminally; outer crest of<br />

spinules at base of setae.<br />

Coxa of antenna bearing large swordshaped<br />

masticatory element furnished with<br />

row of strong spinules along outer margin<br />

and shorter spinules on inner distal third.<br />

Basis furnished with 3 small setae along<br />

inner margin, 2 grouped proximally and 1<br />

distally; 2 or 3 anterior surface spinules on<br />

outer portion. Endopod 1-segmented and<br />

armed with 2 inner setae midway, distal 1<br />

much stronger and spinulose; 2 long<br />

spinulose setae terminally. Exopod distinctly<br />

5-segmented, with 1 spinulose seta at inner


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 217-222, 2011<br />

tip of segments 1-4 and 2 spinulose terminal<br />

setae on segment five.<br />

Coxa of mandible bearing one inwardly<br />

curved unfurnished seta. Basis armed with 2<br />

setae proximally, proximal most without<br />

spinules throughout naupliar phase and<br />

distal one stronger and spinulose. Endopod<br />

two segmented. First segment unornamented<br />

and bearing saddle like lobe carrying 2<br />

strong setae ornamented with stiff spinules.<br />

Second segment bearing 2 smaller smooth<br />

lateral setae midway and two setae<br />

terminally. Exopod four segmented with 1<br />

spinulose seta at tip of inner margin of<br />

segments 1-3, but 2 spinulose setae<br />

terminally on distal segment.<br />

The description of nauplius1 was<br />

similar to that reported by Dahmas and<br />

Ferrnando (1995) in their studies on<br />

Mesocyclops edax in Pinehurst Lake.<br />

Fig. (2): Nauplius I.<br />

A. Photomicrograph(200X) B. Camera lucida drawing (scal bar=0.011mm)<br />

Nauplius II<br />

Nauplius stage I molted to liberate this<br />

stage after 20-24 hour body length, 110 -115<br />

µm, width 75- 80µm (Fig. 3). On ventral body<br />

wall of nauplius II, three lateral sickle shaped<br />

rows of spinules close to caudal edge of labrum.<br />

In respect to ornamentation of hind body, 1<br />

abbreviated row of spinules on each<br />

ventrolateral side at base of both caudal setae.<br />

Antennule adding third terminal seta and inner<br />

row of spinules on proximal third of distal<br />

segment. Antenna consist of endopod and<br />

exopod, third seta terminally on its endopod<br />

Exopod becoming 6-segmented, segments 1-5<br />

each with seta at inner distal tip, distal segment<br />

with 2 spinulose setae. Mandible acquiring third<br />

seta distally on basis. Endopodal lobe of first<br />

segment developing 2 additional (equal 4 in all)<br />

medial spinulose setae. Distal segment of<br />

endopod with third spinulose seta terminally.<br />

Second proximal most seta of first exopodal<br />

segment. Naupliar mandible reaching final<br />

structure and not changing until nauplius VI<br />

except in size. Incipient maxillule indicated by<br />

strong plumose seta originating from<br />

protuberance.<br />

The same measurement and disruptions<br />

was reported by Dahmas and Ferando<br />

(1992), from samples of Mesocyclops<br />

collected from Awasa Lake in Ethiopia.<br />

Fig. (3): Nauplius II.<br />

A. Photomicrograph(400X) B. Camera lucida drawing (scal bar=0.015mm)<br />

219


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 217-222, 2011<br />

Nauplius III<br />

Nauplius stage II molted to liberate this<br />

stage after 25-30 hour body length 125-130 µm,<br />

width 80-85 µm (Fig. 4). Hind body bearing<br />

second caudal seta posteriorly on either side,<br />

both setae similar in length, posterior seta<br />

articulated. Third pair of short setae at this stage<br />

between outer pairs of setae. Antennules<br />

acquiring fourth seta at terminal third of distal<br />

segment. Antenna; developing second strong,<br />

club-shaped, spinulose masticatory seta. Basis<br />

220<br />

having fourth seta in group of 3 proximal setae.<br />

Endopod bearing fourth subterminal<br />

unornamented seta Second small naked proximal<br />

seta developed on first exopodal segment; third<br />

spinulose seta sub terminally on distalmost<br />

segment of exopod .<br />

The size and shape of this stage was close<br />

to that reported by Dahmas and Ferrnando<br />

(1995). They followed and described both adult<br />

and nauplius stages of two species of<br />

Mesocyclops.<br />

Fig. (4): Nauplius III.<br />

A. Photomicrograph(400X) B. Camera lucida drawing (scal bar=0.023mm)<br />

Nauplius IV<br />

Nauplius stage III molted to liberate this<br />

stage after 22-24 hour Body length about 155-<br />

160 µm, width 90-96 µm (Fig. 5). Two spin<br />

form elements indicated at either outer sides of<br />

hind body. Antennule with 4 additional setae<br />

developed on distal segment. Antenna bearing<br />

proximal third, small seta, on inner margin of<br />

endopod. Exopod becoming 7-segmented, and<br />

Proximal seta developed at nauplius III situated<br />

at inner distal tip of newly developed proximal<br />

seventh segment. Maxillule becoming bilobed<br />

limb bud with 4 spinulose setae on inner lobe.<br />

Prospective endopod and exopod having 3 and 4<br />

spinulose setae respectively. Row of spinules at<br />

base of middle of 3 exopodal setae, outermost<br />

seta of exopod by far longest, reaching beyond<br />

tip of longest caudal seta.<br />

Generally, similar body size and<br />

characteristic of nauplius IV was published by<br />

Dahmas and Ferrnando (1995).<br />

Fig. (5): Nauplius IV.<br />

A. Photomicrograph(400X) B. Camera lucida drawing (scal bar=0.016mm)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 217-222, 2011<br />

Nauplius V<br />

The description of this stage were as follow<br />

as ; the Body length 200-210 µm, width 120-125<br />

µm (Fig. 6). Hind body grooved medially and<br />

minute acutiform imagination on inner sides of 2<br />

inner setae. Antennule bearing 10 setae on distal<br />

segment. Antenna bearing five seta sub<br />

.<br />

terminally on endopod. Nauplius stage IV<br />

molted to liberate this stage after 20-24 hour<br />

This description of NV was agreed with that<br />

reported by Dahmas and Fernando (1993) that<br />

they studied and described Mesocyclops sp. and<br />

Thermocyclops (copepoda) from Beria Lake in<br />

Sirelanka<br />

Fig. (6): Nauplius V.<br />

A. Photomicrograph(400X) B. Camera lucida drawing (scal bar=0.033mm<br />

Nauplius VI<br />

Nauplius stage V molted to liberate this<br />

stage after 18-24 hour. The body length of this<br />

stage were 270 -285µm, and width 135-145 µm<br />

(Fig. 7). Inner of 2 outer spinules on hind body<br />

becoming distinctly spinulose, both spinules<br />

become more longer. Antennule bearing 14 setae<br />

plus 2 spinular indications of setae not counted<br />

as such on distal segment. Antenna bearing<br />

fourth seta midlength on endopod. distal<br />

segment. Antenna bearing fourth seta midlength<br />

on endopod.<br />

No indication externally of maxilla or<br />

maxilliped in any stage. Precursors of legs 1 and<br />

2 appearing at sixth nauplius stage as medial flap<br />

like limb buds armed with setae and a cutiform<br />

imaginations on exopod and endopod.<br />

Fig. (7): Nauplius VI.<br />

A. Photomicrograph(400X) B. Camera lucida drawing (scal bar=0.038mm)<br />

A1= Antennule, A2= Antenna, ps= Posterior seta<br />

221


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 217-222, 2011<br />

REFERENCES<br />

Armitage, B. K. and Tash, C. J. (1967). The life cycle of<br />

Bicuspidatus Thomasi, S. A. Forbes in<br />

Leavenworth county state lake, Kansas, USA.<br />

Department of zoology, of Kansas, crustacean,<br />

Vol.13, 94-102.<br />

Byrnes, E. F. (1921). The metamorphosis of Cyclops<br />

americanus and Cyclops signatus var. tenuicornis,<br />

cold spring Harbor monograph 1x, the Brook lyn,<br />

institute for Arts and sciences 4:3-53.<br />

Dahmas, U, H. and Ferando C. H. (1992). Naupliar<br />

development of Mesocyclops aequatorialis<br />

similis and Thermocyclops consimilis (Co pepoda:<br />

Cyclopoida) from Lake Awasa, a tropical rift valley<br />

lake in Ethiopia.-Canadian Journal of Zoology 70:<br />

2283-2297.<br />

Dahmas,U. H. and Fernando C. H. (1993). Naupliar<br />

development of Mesocyclops cf. Thermocyclops<br />

oidesHarada, 1931 and Thermocyclops decipiens<br />

(Kiefer, 1929) (Copepoda: Cyclopoida) from Beira<br />

Lake, SriLanka. Journal of Plankton Research 15:<br />

9-26.<br />

Dahmas. U. H, Ferrnando, H. C. (1995). Naupliar<br />

development of Mesocyclops edax Forbes,<br />

1891(copepoda: cyclopoida). Crustacean biology,<br />

15(2):329-340<br />

Forbes, S. A. (1891). On some Lake Superior Ento-<br />

mostraca.-Report of the United States Commission<br />

of Fish and Fisheries for 1887: 701-718.<br />

222<br />

Grabda, J. (1963). Life cycle and morphogenesis of<br />

Lernaea cyprinacea L. Acta Parasitol. Polonica,<br />

11: 169- 198.<br />

Manfredi, P. (1923). Etude sur le development larvaire de<br />

quelques especes du genre Cyclops. Annales de<br />

Biologic lacster, 12: 3-4.<br />

Marshall, A.J. and Williams, W. D. (2002). Textbook of<br />

zoology invertebrates. 7 th ed., CBS publishers and<br />

distributors, NewDelhi. India.<br />

Oberg, M. (1906). Die metamorphose der plankton<br />

copepoden der Kiefer buch. wiss. Meere<br />

suntersuchun herausgeg, V. D. Komm, Z. wiss.<br />

Unter such, D.deutsh-Meere in Kiel,U.D,<br />

Biol,Anstallt, Helgoland.Neue. (Sited by The larval<br />

development of fresh water copepod.The Oho state<br />

Ewers, L. A. (1930).<br />

Sommer, U. (1989). Plankton ecology, succession in<br />

plankton communities. Springer-verlage, Newyork,<br />

USA.<br />

Tsotetsin, A. M. (2005). Aspect of the ecology, life cycle<br />

and patho- logy of Lamproglena clarae (Copepoda:<br />

Lernaidae), collectedfrom the gills of Clarias<br />

gariepinus from the Vaal river system, South<br />

Afrika. Coll. Faculty Sci., Univ. Rand Afrikaans.<br />

101pp.<br />

Velde, L. V. (1984). Revision of the African species of the<br />

genus Wilson, C. B. (1911). Nort America Parasitic<br />

Copepods. The Lernmopodidm. Proc. U. S. Nat.<br />

Mus., 39: 189-226.<br />

ةل ةواركايج ىناكةكاَيه ةو ةطيقات ةل ةكؤمرك ىناكةغانؤق ىندرك ناشين تسةد ؤب ارد مانجةئ ةيةوةهيلؤكَيل<br />

مةئ<br />

ناكةكلَيه ىةشةط ىنوضاداودةب ىوامةل ةو<br />

. ارهَيلهةه ىدةس ىةلث<br />

َ1±<br />

52<br />

وومةه ىدروو ىفسةو ةكةوةهيلؤكَيل<br />

اهةورةهةو توةك تسةدةب ةكؤمرك ىناكةغانؤق وومةه<br />

نضح مت . ربتخملا يف<br />

ةتخوث<br />

ىمرةط ىةلث ةل ووتشيةطيث ىَىم ةل<br />

. ذؤر 6-2<br />

ىوامةل<br />

. ىؤخ ةتَيرطةد ناكةغانوق<br />

Mesocyclops edax Forbes, 1891 لجرلاا يفاذجملل ةيقريلا لحارملا<br />

ةسارد<br />

Mesocyclops edax<br />

لجرلاا يفاذجملل ةيقريلا لحارملا ىلع فرعتلل ةيلاحلا ةساردلا تيرجأ<br />

2 نم تحوارت ةرتفل ضويبلا ومن<br />

ةعباتم للاخو . ◦م<br />

َ±<br />

52 ةرارح ةجرد يف يرتب قابطا يف ةجضان<br />

ثانا نم<br />

ةذه نم ةلحرم لكل يليصفت فصو ةساردلا تنمضت دقو<br />

. ةتسلا ةيقريلا لحارملا ىلع لوصحلا مت<br />

ثيح<br />

ةصلاخلا<br />

تلزع ضويب<br />

مايأ<br />

6<br />

ىلا<br />

.<br />

لحارملا


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 223-231, 2011<br />

EFFECT OF SALICYLIC ACID ON SOME BIOMASS AND<br />

BIOCHEMICAL CHANGES OF DROUGHT- STRESSED<br />

WHEAT (Triticum aestivum L. var. Cham 6) SEEDLINGS*<br />

FAKHRIYA M. KARIM and MOHAMMED Q. KHURSHEED<br />

Dept. of Biology, College of Education -Scientific dept, University of Salahaddin, Kurdistan Region-Iraq<br />

(Received: January 6, 2011; Accepted for publication: May 2, 2011)<br />

ABSTRACT<br />

This study was carried out to examine the effect of salicylic acid on growth of winter wheat plants (Triticum<br />

aestivum L. var. Cham 6) under water stress conditions. The experiment consisted of pre-treated grains with salicylic<br />

acid solution with concentration of (100ppm) via soaking for three hours and spray of the seedlings with salicylic acid<br />

at the level of (200ppm), and the plants were put under drought stress conditions at different levels (0.75FC, 0.50FC,<br />

0.25FC). Shoot and root biomass characteristics as well as some biochemical changes of shoot were studied. Statistical<br />

analysis were accomplished for the gained results using the completely randomized design for all of the experiments<br />

with four replications for each treatment and mean treatments were compared using Least Significant Difference Test<br />

(L.S.D.) at the level of 0.05 to the characteristics of plants that have been registered in the greenhouse, and the level of<br />

0.01 to the chemical characteristics of the plants which were done in the laboratory. The plant treating with salicylic<br />

acid led to significant increases in the most of shoot and root biomass characteristics under water deficit stress<br />

conditions which were included fresh weight and water content of shoot, as well as dry root/dry shoots per plant and<br />

the relative growth rate of leaf, but the water content of root and dry weight of root and shoot were decreased<br />

compared with untreated plants. Proline and salicylic acid content of shoot showed an increase in plants treated with<br />

salicylic acid under drought stress comparing with untreated plants.<br />

KEYWORDS: Salicylic acid, Drought, Wheat<br />

C<br />

INTRODUCTION<br />

ereals are the main source of nutrition,<br />

energy, protein and dietary fibers for<br />

human and animals (Gooding and Davies, 1997).<br />

It is well believed that Iraqi Kurdistan Region is<br />

the mother land of wheat on basis of some<br />

archaeological evidences that has been found in<br />

Tel-jarmo which belongs to 8000 years B.C<br />

(Harlan, 1991). Wheat represents the largest<br />

average among all other field crops in Iraqi<br />

Kurdistan in such away; it covers 78% of rainfed<br />

area (Al-Najafi, 1989). In both natural and<br />

agricultural conditions, plants are frequently<br />

exposed to environmental stresses. It has been<br />

reported that only 10% of the world’s arable<br />

lands are free from environmental stresses, with<br />

drought and salinity being the wide spread<br />

(Ashraf, 1999). Biotic and abiotic stresses are<br />

factors that adversely affect plant growth and<br />

development (Ansari and Misra., 2007).<br />

However, in Mediterranean countries, plants are<br />

subjected to water deficient, high and low<br />

temperatures that are a major factors limiting<br />

growth and development in plants (Kozlowski et<br />

al., 2000). Water is a central molecule in all<br />

* Part of M.Sc. thesis of the first author<br />

physiological processes in plants, comprising<br />

between 80 and 95% of the biomass of<br />

herbaceous plants. Plant water deficit occurs<br />

when insufficient moisture prevents a plant from<br />

growing adequately and completing its life<br />

cycle. Insufficient moisture can be the<br />

consequence of a shortage in rainfall (drought),<br />

coarse textured soils that retain little water in the<br />

root zone, or drying winds. Water deficit is not<br />

only caused by lack of water but also by<br />

environmental stresses like low temperature or<br />

salinity.<br />

Salicylic acid is a naturally occurring<br />

phenoloic that is widely found throughout the<br />

plant kingdom, it was recognized as an<br />

endogenous regulator in plants after finding that<br />

it is involved in many plant physiological<br />

processes such as photosynthesis, transpiration,<br />

nutrient uptake, chlorophyll synthesis, protein<br />

synthesis and transport (Raskin, 1992). SA<br />

induces changes in leaf anatomy and chloroplast<br />

structure, it is involved in endogenous signaling;<br />

mediating in plant defense mechanisms against<br />

biotic and abiotic stresses (Hayat and Ahmad,<br />

2007). Application of exogenous SA enhanced<br />

the drought stress resistance of wheat plants<br />

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(Gomez et al., 1997; Hamada and Al-Hakimi,<br />

2001; Sakhabutdinova et al., 2003; Waseem et<br />

al., 2006), and (Bandurska and Stroi, 2005) on<br />

barely. Proline plays a major role in the antioxidative<br />

stress as a hydroxyl radical scavenger,<br />

it regulate the NAD + /NADH ratio, and as a<br />

protein-compatible hydrotrope (Matysik et al.,<br />

2002). Proline also protects membranes and<br />

proteins against the effects of high<br />

concentrations of inorganic ions (Srinivas and<br />

Balasubramanian, 2000). On the other hand, the<br />

accumulation of low molecular weight solutes<br />

and/or compatible osmolytes may help to<br />

maintain the relatively high water content<br />

necessary for plant growth by balancing the<br />

osmotic pressure of cytosol with that of vacuole<br />

and external environment. It has been reported<br />

that the higher accumulation of proline could be<br />

due to inhibition of proline catabolizing<br />

enzymes, such as proline oxidase and proline<br />

dehydrogenase (Delauney and Verma, 2001).<br />

Since wheat cultivation in Iraq might be<br />

exposed to many damages resulted from the<br />

physical factors such as temperature, salinity and<br />

drought at different periods of growth.<br />

Therefore, the objective of this study is i) to<br />

study the vegetative characteristics, yield<br />

components and biochemical changes induced<br />

by SA under normal and drought conditions ii)<br />

to asses whether exogenous application of SA<br />

could improve the action of drought on plant and<br />

could ameliorate the adverse effects of these<br />

factors, iii) to estimate the changes that occur in<br />

some compatible solute accumulations under<br />

water and stress such as proline and SA, which<br />

are important marker in abiotic stress resistance<br />

as well as some others biochemical constituents.<br />

MATERIALS AND METHODS<br />

The experiment was carried out in<br />

uncontrolled glasshouse of Biology department,<br />

College of Science Education, University of<br />

Salahaddin during the period from November<br />

23, 2009 to March 10, 2010 to determine<br />

whether SA application could enhance growth in<br />

drought stressed plants. The plastic pots with<br />

diameter of 24cm and 21cm in depth with<br />

drainage holes in the bottom were used. Sandy<br />

loam soil was sieved through 4mm pore size<br />

siever, and sterilized by formalin 40% then 7kg<br />

of dried loamy sand soil was put in each pot.<br />

Some chemical and physical properties of the<br />

soil are shown in table (1). Seeds of the wheat<br />

were pre-soaked in neutralized 100ppm SA for<br />

3hrs. Seven grains were placed into each pot and<br />

after germination the plants were thinned to two<br />

per pot. Urea fertilizer (CO(NH 2 ) 2 containing<br />

46.66% N, Phosphorus and Potassium fertilizer<br />

(KH 2 PO 4 ) containing 22.70 %P and % 28.60 K<br />

were added to the pots as solutions after 02days<br />

from sowing at the rates of 75, 75 , 94.5 mg/Kg<br />

for N,P and K, respectively. Seedlings were<br />

sprayed twice with 200ppm SA solution after<br />

30days from sowing and were sprayed with<br />

week interval. Three days after second spray the<br />

seedlings will subject to water deficit for 45days.<br />

They were watered as follow; 0.75, 0.50 or<br />

0.25FC (field capacity). Some pots were<br />

untreated regarded as control and SA treatment<br />

with 100% FC. After drought stress the plants<br />

returned to normal irrigation for plants recovery<br />

and plants survival ability that assessed after<br />

20days. The experiment was designed as<br />

completely randomized design that consisted of<br />

8 treatments with 4 replicates.<br />

Table (1): Some Physical and Chemical properties of<br />

the soils used in the experiment:<br />

Properties Values<br />

Sand% 69.11<br />

Silt% 24.23<br />

Clay% 6.66<br />

Soil texture Sandy Loam<br />

Field Capacity% 13.87<br />

Organic matter% 0.83<br />

Electrical Conductivity (dSm -1 at<br />

25 °C)<br />

0.40<br />

pH 7.42<br />

Total Nitrogen% 0.05<br />

Available Phosphorus (mg Kg-1 1.24<br />

soil)<br />

Soluble Potassium(mg Kg -1 soil) 24.18<br />

Soluble Sodium(mg Kg -1 soil) 19.78<br />

Soluble Chloride(mg Kg -1 soil) 36.75<br />

Biomass changing measurements Shoot and<br />

root dry weight (g/plant)<br />

The roots and shoots of plants in each<br />

replication were dried at 70°C until reaching a<br />

constant weight, then root and shoot dry weights<br />

were measured and the dry weight of root and<br />

shoot per plant was calculated by dividing the<br />

total weight by the number of plants (Ekiz and<br />

Yilmaz, 2003).<br />

Ratio of dry root/ dry shoot per plant<br />

The whole plant was uprooted by pouring<br />

water into the plant's pot to be rinsed from the<br />

soil, and then separated into shoot and root.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 223-231, 2011<br />

After that, the shoot and the root were oven- dried for 48hrs at 72 °C. The root and shoot dry<br />

weights were measured with weighing<br />

balance. Root: shoot ratio was computed<br />

according to (Luvaha et al., 2008), as follow:<br />

Water content (g/ plant)<br />

After F.W. (fresh weight) measure, shoots<br />

were dried at 110°C for 1hrs to kill tissues then<br />

dried at 70°C for 24hrs. Dry shoots obtain after<br />

being cooled to room temperature for half an<br />

hour (He et al., 2008).<br />

Water content = F.W. – D.wt<br />

Relative growth rate (RGR)<br />

The formula to calculate the relative leaf<br />

growth rate was according to (Liang et al., 2002)<br />

as follow:<br />

RGR = 1/ L � . dL / dt<br />

Lo = Stand for the leaf lengths of selected plants<br />

at the beginning of the treatment.<br />

dL/ dt = Stand for the length increments of<br />

selected leaves per day during the treatment.<br />

Biochemical Determination<br />

Proline determination (µg/g F.wt.)<br />

Proline was determined according to the<br />

method described by Bates et al., (1993).<br />

Approximately 0.5g of fresh leaf material was<br />

homogenized in 10ml of 3% aqueous<br />

sulfosalicylic acid and filtered through<br />

Whatman’s No. 2 filter paper. Two ml of the<br />

filtrate was mixed with 2ml acid-ninhydrin and 2<br />

ml of glacial acetic acid in a test tube. The<br />

mixture was placed in a water bath for 1h at<br />

100°C. The reaction mixture was extracted with<br />

4 ml toluene and the chromophore containing<br />

toluene was aspirated, cooled to room<br />

temperature, and the absorbance was measured<br />

at 520nm Spectrophotometer. Appropriate<br />

proline standards were included for the<br />

calculation of proline in the samples.<br />

Salicylic acid determination (µg/ Kg F.wt.)<br />

Salicylic acid was measured in fresh leaf<br />

extracts as described by Ahmad and Vaid<br />

(2009), with some modifications. 2.0g of sample<br />

was warmed with 25ml ethanol (96%) to melt an<br />

extracted with the solvent it was further<br />

extracted with 25ml twice of ethanol (96%). SA<br />

was prevented by the addition of 1ml of 0.2M<br />

NaOH and the samples were centrifuged<br />

(Heraeus sepatech model) for 15min at 13000g.<br />

The combined extracts were filtered and made<br />

up to 100ml with ethanol (96%). Then 25ml of<br />

the extract was diluted to 50ml in a volumetric<br />

flask with ethanol (96%) and the absorbance<br />

measurements were carried out at 303nm.<br />

Statistical Analysis<br />

All data were analyzed using ANOVAs and<br />

subsequent comparison of means was performed<br />

using Fischer , s Least Significant Differences<br />

(LSD) at p≤ 0.05 for greenhouse experiment<br />

measurements with four replicates and p≤ 0.01<br />

for Laboratory chemical measurements with<br />

three replicates (Snedecor and Cochran, 1989).<br />

Statistical Package for the Social Sciences<br />

(SPSS) and Microsoft Excel Statistical<br />

Programmer were used for all statistical analysis.<br />

RESULTS AND DISCUSSIONS<br />

Biomass changes of shoot and root<br />

Table (2), refers to different levels of drought<br />

stress caused significant decreases in shoot fresh<br />

weight as compared with untreated controls. As<br />

well as, there were not significant differences<br />

between the different levels of drought stress<br />

pre-treated with SA as compared with control.<br />

However, it was observed that the levels of<br />

drought stress pre-treated with SA had higher<br />

shoot fresh weight than those did not pre-treat<br />

with SA. The significant increases in shoot fresh<br />

weight were 5.27 and 4.31g respectively that<br />

gained from 0.25FC + SA and 0.50FC + SA.<br />

The fresh weight of root was significantly<br />

reduced under different levels of drought stress<br />

at the averages of 8.79 and 6.33g root fresh<br />

weight were significantly lowered that obtained<br />

from the levels of 50FC and 25FC respectively<br />

as compared with well watered control. It was<br />

further noted that the levels of drought stress<br />

pre-tread with SA showed significant decreases<br />

as compared with control plants. However, the<br />

different levels of drought stress pre-treated with<br />

SA showed insignificant differences as<br />

compared with those did not pre-treated with SA<br />

except the value of 17.61g from the level of FC<br />

+ SA which was significantly increased.<br />

The dry weight of shoot was significantly<br />

decreased with increasing the levels of drought<br />

stress in comparison with control (table 2). In<br />

addition, it was observed that dry weight of<br />

shoot was decreased under the different levels of<br />

drought stress pre-treated with SA as compared<br />

with control. Moreover, it was found that the<br />

different levels of drought stress pre-treated with<br />

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SA showed insignificant effect as compared to<br />

those did not pre-treat with SA except the value<br />

of 1.4g was the significant difference decrease<br />

that obtained from the level of 0.75FC + SA<br />

compared with 0.75FC. From the same table it<br />

was shown that the dry weight of root was<br />

significantly decreased under difference levels of<br />

drought as compared with control. The<br />

maximum decrease in root dry weight was 3.79g<br />

recorded at 0.25FC treatment. It was further<br />

observed that the different levels of drought<br />

stress pre-treated with SA showed significant<br />

decrease in comparison with control except the<br />

level of FC + SA showed insignificant difference<br />

which was 7.18g. Furthermore, the different<br />

levels of drought stress pre-treated with SA<br />

showed insignificant differences as compared<br />

with those did not pre-treated with SA except the<br />

value of 5.06 was significant that obtained from<br />

level of 0.25FC + SA comparing to 0.25FC.<br />

The application of different levels of drought<br />

stress was resulted in significant increases in<br />

ratio of dry root/dry shoot per plant biomass of<br />

wheat plant (table 2). The higher values were<br />

0.73 and 0.78 that obtained from the levels of<br />

0.50FC and 0.25FC respectively as compared<br />

with the well watered control. While, it was<br />

found that the different levels of drought stress<br />

pre-treated with SA showed significant increase<br />

as compared with control except both the<br />

treatments of FC + SA and 0.75FC + SA. Table<br />

(3), refers to insignificant differences of shoot<br />

water content under different levels of drought<br />

stress as compared with control, but the effect of<br />

different levels of drought stress pre-treated with<br />

SA showed significant increases comparing with<br />

control. Furthermore, it was found that the<br />

different levels of drought stress pre-treated with<br />

SA showed significant increase at both<br />

treatments 0.50FC + SA and 0.25FC + SA which<br />

were 21.83 and 22.2g respectively as compared<br />

to those did not pre-treat with SA. The results<br />

found in the same table, demonstrate that water<br />

content of root was shows insignificant<br />

differences except the level of 0.25FC as<br />

compared with control. In addition the different<br />

levels of drought stress pre-treated with SA<br />

showed significant decrease at both 0.50 FC +<br />

SA and 0.25FC + SA levels in comparison to<br />

control.<br />

The relative growth rate of leaf was gradual<br />

decreased significantly as the drought stress<br />

levels increased (table 3). In addition, it was<br />

observed that the different levels of drought<br />

stress pre-treated with SA showed significant<br />

increases on the relative growth rate of leaf. As<br />

well as, it was found that the different levels of<br />

drought stress pre-treated with SA showed<br />

significant increase except the value of<br />

0.28mm/day at the level of 0.25FC + SA was not<br />

significant as compared to those did not pretreated<br />

with SA. The data showed significant<br />

decreases in shoot fresh weight, relative growth<br />

rate of leaf and shoot dry weight as compared<br />

with untreated controls, but it was noted that the<br />

levels of drought stress pre-treated with SA<br />

significantly increased the shoot fresh weight,<br />

relative growth rate of leaf and water content of<br />

shoot in comparison with those did not pre-treat<br />

with SA. These finding results agreed with<br />

(Gomez et al., 1997; Hamada and Al-Hakimi,<br />

200;Waseem et al., 2006) in wheat plants. The<br />

significant decreases in the above mentioned<br />

biomass changes of shoot under drought stress<br />

could be interpreted that as plant undergoes<br />

water stress the water pressure inside the leaves<br />

is decreased, therefore the plant wilts and further<br />

development of water stress symptoms reduced<br />

(Lambers et al., 2008). To survive under these<br />

conditions the plants undertake various<br />

mechanisms adaptations to maintain their growth<br />

and development (Chaves et al., 2003). Decline<br />

in photosynthetic rate might be due to stomatal<br />

closure which reduces CO2/O2 ratio in leaves and<br />

inhibits photosynthesis (Janson et al., 2004).<br />

Stomatal closure is one of the earliest responses<br />

to drought protecting the plant from extensive<br />

water loss so drought stress led to a noticeable<br />

decrease in stomatal conductance (Chaves et al.,<br />

2003). Whereas, a common adverse effect of low<br />

water potential stress is the reduction in fresh<br />

and dry biomass of shoot production occurred<br />

probably due to the ABA action in which it is<br />

produced in the cells under abnormal conditions<br />

and this way inhibit the cell division and/or<br />

DNA synthesis (Lobato et al., 2008). The<br />

significant increases in the biomass changes of<br />

shoot those previously mentioned may be due to<br />

the role of exogenously applied of SA through<br />

foliar spray caused an increase in photosynthetic<br />

rate under the drought stress conditions and SA<br />

induced increase in photosynthesis can be<br />

associated with stomatal factors (Athar and<br />

Ashraf, 2005). Application of SA induce<br />

increase in leaf water content has been<br />

emphasized as better indicater of water status of<br />

a plant so that they may have a good chance to<br />

survive in the dry period. Effect of SA on<br />

biomass changes of root caused significant<br />

decreases in the root fresh weight and root dry<br />

weight under different levels of drought<br />

conditions as compared with control. Whereas,<br />

both parameters mentioned above as well as


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 223-231, 2011<br />

water content of root were decreased<br />

significantly under different levels of drought<br />

stress pre-treated with SA in comparison with<br />

control. These results agree with (Gomez et al.,<br />

1997; Waseem et al., 2006) in wheat plants. The<br />

significant decrease in the root fresh weight and<br />

root dry weight can be interpreted accordingly<br />

the main reason which creates decrease in<br />

growth parameters due to chemical signals from<br />

the root system may affect the stomatal<br />

responses to water stress. Stomatal conductance<br />

is often much more closely related to soil water<br />

status than to leaf water status and affected by<br />

soil water status is the root system, in the fact<br />

dehydrating only part of the root system may<br />

cause stomatal closure, so the stomata can<br />

respond to conditions sensed in the roots by<br />

ABA hormone (Taiz and Zeiger, 2003). Whereas<br />

significant reduction of biomass changes<br />

parameters of root by SA may be interpreted that<br />

primary consequence of drought is osmotic<br />

stress led to high concentration of Na +<br />

negatively affected the inter cellular K +<br />

accumulation presumably either by competing<br />

for sites through which influx of both cations<br />

occurs or affecting membrane stability causing<br />

leakage of K + may lead to water deficit in root<br />

tissues and loss of turgor (Wated et al., 1991).<br />

The application of different levels of drought<br />

stress was led to significant increases in ratio of<br />

dry root/dry shoot per plant as compared with<br />

the control, and was found that the different<br />

levels of drought stress pre-treated with SA<br />

showed significant increase as compared with<br />

control. These increases in ratio of dry root/dry<br />

shoot per plant could be due to the different<br />

response of root and shoot growth of this<br />

cultivar wheat plant to water stress. Therefore<br />

there was an increase in root/shoot ratio under<br />

water deficit conditions (Hamblin et al., 1990).<br />

Such variation have been due to increased<br />

accumulation of assimilates diverted to root<br />

growth differential sensitivities of the roots and<br />

shoots to endogenous ABA or to a greater<br />

osmotic adjustment in roots compared with<br />

shoots (Sharp and Davies, 1989). However, SA<br />

treatments was manifested in the present<br />

investigation with respect to ionic balance which<br />

is considered as one of the most complicated and<br />

integral parts of plant activities the action<br />

imbalance is one of the most basic disorders due<br />

to drought stress (Al-Hakimi, 2006). This may<br />

be happened because of osmotic adjustment<br />

which occurs in roots although compared to<br />

leaves the process is less well understood as with<br />

leaves, these changes may increase water<br />

extraction from the previously explored soil only<br />

slightly. However osmotic adjustment can occur<br />

in the root meristems enhancing turgor and<br />

maintaining root growth (Taiz and Zeiger,<br />

2003).<br />

Table (2): Effect of different levels of drought stress (%field capacity) with or without pre-treated with (SA) on<br />

biomass changes of wheat plant:<br />

Treatments<br />

Control(FC)<br />

0.75FC<br />

0.50FC<br />

0.25FC<br />

FC+SA<br />

0.75FC+SA<br />

0.50FC+SA<br />

0.25FC+SA<br />

L.S.D<br />

p≤ 0.05<br />

Fresh wt.<br />

(g/plant)<br />

29.13<br />

26.13<br />

23.64<br />

22.10<br />

31.45<br />

28.54<br />

27.95<br />

27.37<br />

2.25<br />

Shoot Root Ratio of dry root/<br />

Dry wt.<br />

(g/plant)<br />

Fresh wt.<br />

(g/plant)<br />

11.04 13.97<br />

8.95<br />

6.27<br />

5.16<br />

10.96<br />

7.55<br />

6.11<br />

5.16<br />

0.49<br />

10.61<br />

8.79<br />

6.33<br />

17.61<br />

Dry wt.<br />

(g/plant)<br />

SA: Grains pre-soaked in 100ppmSA for 3hrs and the seedlings were sprayed twice with 200ppmSA<br />

9.83<br />

8.71<br />

7.24<br />

3.43<br />

6.45<br />

4.73<br />

4.38<br />

3.79<br />

7.18<br />

4.90<br />

4.98<br />

5.06<br />

0.94<br />

dry shoot per plant<br />

0.61<br />

0.54<br />

0.73<br />

0.78<br />

0.66<br />

0.63<br />

0.86<br />

0.96<br />

0.11<br />

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Table (3): Effect of different levels of drought stress (%field capacity) with or without pre-treated with (SA) on water<br />

content of shoot and root and relative growth rate of leaf after 20days from SA treatment:<br />

Treatments<br />

Control(FC)<br />

0.75FC<br />

0.50FC<br />

0.25FC<br />

FC+SA<br />

0.75FC+SA<br />

0.50FC+SA<br />

0.25FC+SA<br />

L.S.D<br />

p≤ 0.05<br />

Water content of<br />

shoot(g/plant)<br />

Biochemical Characters<br />

Proline content of shoot (µg/g shoot fresh wt.)<br />

As illustrated in Table (4), the different levels<br />

of drought stress led to significant increase in<br />

proline content of shoot as compared with<br />

control, and there were significant differences<br />

between drought stress levels. The maximum<br />

value was 11.61µg/g shoot fresh weight at the<br />

level of 0.25FC, also the different levels of<br />

drought stress pre-treated with SA showed<br />

significant increases on proline content as<br />

compared to their controls. As well as, it was<br />

found that the different levels of drought stress<br />

pre-treated with SA showed higher proline<br />

content than those did not pre-treated with SA in<br />

which the maximum value was 22.88µg/g shoot<br />

fresh weight at the level of 0.50FC+SA. These<br />

results are agreement with (Sakhabutdinova et<br />

al., 2003) on wheat plant. According to<br />

suggestment of (Kaiser, 1982) that proline<br />

accumulation may be associated with stress<br />

tolerance in wheat it was found many species<br />

that changes in metabolic activities due to<br />

decrease in water potential disappear when rates<br />

are compared on the basis of equal relative water<br />

content. In addition, application of SA also<br />

induced accumulation of proline in seedlings.<br />

Endogenous SA content of shoot (µg/Kg shoot<br />

fresh wt.)<br />

The results presented in Table (4) indicate<br />

that the effect of drought stress showed<br />

Water content of root<br />

(g/plant)<br />

Relative growth of leaf<br />

(mm/day)<br />

18.09 7.64 0.43<br />

17.18 5.88 0.41<br />

16.96 4.41 0.35<br />

16.94 2.54 0.28<br />

20.48 10.43 0.49<br />

20.99 4.92 0.45<br />

21.83 3.73 0.40<br />

22.20 2.18 0.28<br />

2.38 3.28 0.02<br />

significant differences on endogenous SA<br />

content of shoot. Endogenous SA content of<br />

shoot was 3.60µg/g shoot fresh weight observed<br />

on the control; increased significantly to<br />

11.81µg/g shoot fresh weight with the drought<br />

level of 0.25FC. While the different levels of<br />

drought stress pre-treated with SA showed<br />

significant increases as compared with their<br />

controls. However, the different levels of<br />

drought stress pre-treated with SA showed<br />

higher than those did not pre-treated with SA in<br />

which the higher values were 98.79 and<br />

118.19µg/g shoot weight at the level of 0.50FC<br />

+ SA and 0.25FC + SA respectively. This<br />

finding result observed for the first time in wheat<br />

plant; agree with (Bandurska and Stroi, 2005) in<br />

barley. Therefore, further studies may be<br />

required to test this parameter. These increases<br />

might be due to that treatments with SA greatly<br />

alleviate the harmful effect of drought stress on<br />

wheat plants by increasing levels of endogenous<br />

growth hormone salicylic acid and induced the<br />

appearance of water defense proteins. Therefore<br />

induction of specific protein is a common<br />

response of plants to various environmental<br />

stresses (El-Khallal et al., 2009). On the other<br />

hand activation of antioxidant enzymatic system<br />

induced by pre-treat with SA may contribute to<br />

its anti stress effects in plants and contribute<br />

substantially to SA induced adaptation to<br />

subsequent stress conditions (Sakhabutdinova et


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 223-231, 2011<br />

al., 2003).<br />

Table (4): Effect of different levels of drought stress (%field capacity) with or without pre-treated with (SA) on<br />

the proline and endogenous SA content of wheat plant:<br />

Treatments<br />

Control(FC)<br />

0.75FC<br />

0.50FC<br />

0.25FC<br />

FC+SA<br />

0.75FC+SA<br />

0.50FC+SA<br />

0.25FC+SA<br />

Proline content<br />

(µg/Kg shoots fresh wt.)<br />

Salicylic acid content<br />

(µg/Kg shoots fresh wt.)<br />

2.05 3.60<br />

6.53 8.86<br />

6.91 11.42<br />

11.61 11.81<br />

10.62 43.32<br />

16.46 67.84<br />

22.88 98.79<br />

17.58 118.19<br />

L.S.D p≤ 0.01 2.36 7.90<br />

REFERENCES<br />

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benzoic acid and salicylic acid in commercial<br />

benzoic and salicylic acids ointments by<br />

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386.<br />

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cost of stress: Dry matter partitioning changes with<br />

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(2005). Effects of salicylic acid on heat tolerance<br />

associated with antioxidant metabolism in<br />

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Heat and drought influence photosynthesis, water<br />

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Physiological Ecology. Springer Sci. Bus. Media.<br />

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192.<br />

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F.J.R. Cruz, J.M.N. Freitas and F.C. Cordeiro.<br />

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of water deficit on the physiological and<br />

morphological characteristics of mango (Manigifera<br />

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3, 1-15.<br />

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Molecular mechanisms of quenching of reactive<br />

oxygen species by proline under stress in plants.<br />

Current Science, 82, 5-10.<br />

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Physiol., 99, 799-803.<br />

- Sakhabutdinova, A.R., D.R. Fatkhutdinova, M.V.<br />

Bezrukova and F.M. Shakirova. (2003). Salicylic<br />

acid prevents damaging action of stress factors on<br />

wheat plants. Bulg. J. Plant Physiol., 43, 214-319.<br />

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growth and development of plants with a restricted<br />

supply of water. In: Plants under stress. (Eds.): H.G.<br />

Jone et al. Cambridge Univ. Press, Cambridge,<br />

England, 71-93.<br />

- Snedecor, G.W. and W.G. Cochran. (1989). Statistical<br />

Methods. Seventh edition. The Iowa State<br />

University Press U.S.A, 215-298.<br />

- Srinivas, V. and D. Balasubramanian. (2000). Proline is a<br />

protein-compatible hydrotrope. Langmuir, 11,<br />

2830-2833.<br />

- Taiz, L. and E. Zeiger. (2003). Plant Physiology, 3 th<br />

edition, Sinauer Associ., Inc. Publ., 671-677.<br />

- Waseem, M.; H.U.R. ALhar and M. Ashraf. (2006). Effect<br />

of salicylic acid applied through rooting medium on<br />

drought tolerance of wheat. Pakistan, J. of Bot., 38,<br />

1127-1136.<br />

- Wated, A.E., M. Reuveni, R.A. Bressan and P.M.<br />

Hasegawa. (1991). Enhanced net K + uptake<br />

capacity of NaCl adapted cells. Plant Physiol., 95,<br />

1265-1269.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 223-231, 2011<br />

ة اتـضش ىزةـط ىـكةوووز ىةـشةط زةضةل كيليطيلاض ىشست ىكَيلزاك ىةزابةل<br />

ةتـخوــث<br />

ةوازدمانجةئ ةيةوةنيرَيوت مةئ<br />

شَيث ىوؤت ةل ةووتاوكَيث<br />

ةكةوة دسكيقات . ى اكشوو ىزاشف ىخؤدوزاب سَيذ ةل 6 ماش ىنشةض (Triticum aestivum L.)<br />

َىض ىةوام ؤب ىمقو ىاطَيوز ةب ) نؤيلم ةل شةب 011(<br />

ىتضةخ ةب كيليطيلاض ىشست ىةوايرط ةب واسكةَلةمام تخةو<br />

سَيذ ة اسخ ةوة دسكيقات ى اكةكةوووز .) نؤيلم ةل شةب 011(<br />

ىتضائ ةب كيليطيلاض ىشست ةب َلاةط ى د اذوسث ةو سَيمرتاك<br />

زةـض ةـل ةوةـنيرَيوت ةو ) 0.25FC ،0.50FC<br />

،0.75FC(<br />

شاواـيو ىتـضائ ةـب واوةـتا<br />

ى ادواـئ ىزاـشف ىخؤدوزاـب<br />

ة د ـ ن ي ش ة ـ ي ز ا ك ا وز ؤ ط َى د ـ ة ه ة و ة وز و ى ط ة ش و ة ـ ض ى ة ـ ل ة م ؤ ك ة ـ ل ة ـ ي ز ة ه ؤ ب ا س ك ة ت ض ز ا ب ة د ن ي ش ى ا ك ة ت ة َل ض ة خ<br />

ةـب ازدمانجةئ<br />

ؤب ناي ىزامائ ىزاكيش ناكةمانجةئ<br />

. ازدمانجةئ ناكةكةوووز ةل ىطةشوةض ىةلةمؤك ؤب ناكةييوايميك<br />

ن ا ك ة ـ َل ة م ا م ى ا س ـ ك َي ت ى م ا نج ة ـ ئ ة و ة ـ ي ة َل ة م ا م ز ة ـ ه ؤ ـ ب ة ز ا ـ ب و و د ز ا و ـ ض ة ـ ب و ا و ة ت ى ك ة م ة وز ة ه ى ن ي ا ص ي د ى ا ن َي ه ز ا ك ة ب<br />

ىوو اخ وا ةل ىكةوووز ى اكةتةَلضةخ ؤب 1010 ىتضائ ةل ) L.S.D. ( ىتةوزةنب ىشاوايو نيترمةك ىؤه ةب ناسكدزووازةب<br />

. نووباسك ؤب نايزاكيش ةطيقات ةل ةك ةكةوووز ى اكةييوايميك ةتةَلضةخ ؤب 1010 ىتضائ ةو . نووباسكزامؤت ىيةشوش<br />

ى ا ك ة ت ة َل ـ ض ة خ ى ة ـ ن ي ز ؤ ش ة ـ ل ز ة ـ ط ي ز ا ك ى و و ب د ا ـ ي ش ى ؤ ـ ه ة و ـ ب ك ي ل ي ـ ط ي ل ا ض ى ـ ش س ت ة ب ة ك ة ك ة و و وز ى د س ك ة َل ة م ا م<br />

ىوزةت ىشَيك<br />

ةل نووب تييسب ةك واوةتا ى ادوائ ىزاشف ىخؤدوزاب سَيذ ةل ةوز و ىطةشوةض ىةلةمؤك ىةتضزابةدنيش<br />

ةو ىطةشوةض ىةلةمؤك ىكشوو ىشَيك زةض ةل ةوز ىكشوو ىشَيك ىةرَيوز و ىطةشوةض ىةلةمؤك ىوائ ىةرَيوز و<br />

ىمةك ىطةشوةض ىةلةمؤك ىكشوو ىشَيك و ةوز ىكشوو ىشَيك و ةوز ىوائ ىةرَيوز ىضةك َلاةط ىيةرَيوز ىةشةط<br />

ى ووبداـيش كيليـطيلاض ىـشست و لؤوسـث ىوسب ةو نووباسكة ةَلةمام تخةو شَيث ةك ىة اوةئ ةب دزووازةب دسك<br />

واوةـت ا ى ادوائ ىخؤدواب سَيذ ةل كيليطيلاض ةب نووباسكةَلةمام ةك ىة اكةوووز وةئ ةل ووبزايد ةوَيث ىزةطيزاك<br />

. كيليطيلاض ةب نووباسكة ةَلةمام تخةو شَيث ةك ىة اوةئ ةب دزووازةب<br />

نةص ) Triticum aestivum L. ( ةيويةتلا ةةطنحلا تابن ومن يف كيلسلاسلا ضماح<br />

ريثات ةساردل<br />

يةةف ف ةةج 011(<br />

يةةةف ف ةةج 011(<br />

لا<br />

ةصلاخلا<br />

ةساردلا هذه تيرجأ<br />

ةةي ريض كيلةةسلاسلا ضماةةح سوةلحمض اقبةةسم رلاذةةبلا ةةةلماةم اةةت دةقل . ي اةةملا ئاةةاجدا جلارةةو تةةحت 6 اةش<br />

ةةي ريض كيلةةسلاسلا ضماةةح سوةةلحمض لارلادا ر اةةث حةةم لا تاااةةس ةةةثلاث عدةةمل رةةم لا ةةةقيرطض ) وةةيلملا<br />

.) 0.25FC ، 0.50FC ، 0.75FC(<br />

ةةةليخم تايويةسمض يقسلا يف صقنلا ئااجا جلارظل تاتابنلا تضرا<br />

ةةةي امي ويابلا تارةةي يلا ضةةةض كلذةة لا ررذةةولا لا ررةةلخلا بوةةموملا حةةم يةةيل ةةةيويحلا ةةةلييلا ص اةةتك يةةف خةةحبلا اةةت<br />

. تاتابنلل ررلخلا بوموملل<br />

يةيل تارارةيم ةةةضركض يةمايلا ي اوةتةلا ايمةتيلا ادخيةساض اةايلا سوةتحلا اةت ييلا ج اينلل ي اتحدا<br />

ييلحيلا ررجأ<br />

ااةسايق اةت يةيلا ةةيتابنلا ص اةتخلل 1010 ويةسم تحت ) L.S.D. ( رونةم لرف يقأ رابيكا ادخيساض ج اينلا تنروقلا ةلماةم<br />

ضماةةحض تاةةبنلا ةةةلماةم تئأ . رةةبيخملا يةةف اةةاليلحت<br />

اةةت يةةيلا ةةةيلاايمييلا ص اةةتخلل 1010 ويةةسم لا يجاةةج لا تةةيبلا يةةف<br />

ي اةملا ئاةاجدا جلارةو تحت رذولا لا ررلخلا بوموملل ةيويحلا ةلييلا ص اتك اظةم يف ةيونةم عئايز ىلا كيلسلاسلا<br />

بوةموملل جاةولا زلا ىةلا رذةولل جاةولا زلا ةبةسنلا ررةلخلا بوةموملل ي اةملا وةيحملالا ررةطلا زوةلا تنمةلت ييلالا<br />

ةةنراقم رذةولالا ررةلخلا بوةموملل جاةولا زوةلا لا رذةولل ي اةملا وةيحم ضةةخنا اةمنيض ةةقرولل يبةسنلا<br />

وةمنلالا ررةلخلا<br />

اقبةسم ةةلماةملا تاةتابنلا يةف كيلةسلاسلا ضماح لا حيللاربلا ويحم يف ةيونةم عئايز تراوا دقللا<br />

. ةلماةملا ري لا تاتابنلاض<br />

.<br />

ةلماةملا ريغ تاتابنلاض<br />

ةنراقم يقسلا يف صقنلا ئااجا جلارو تحت كيلسلاسلا ضماحض<br />

.)<br />

ويلملا<br />

231


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

232<br />

BACTERIOLOGICAL STUDY AND ANTIBACTERIAL ACTIVITY OF<br />

HONEY AGAINST SOME PATHOGENIC BACTERIA ISOLATED<br />

FROM BURN INFECTIONS<br />

SUHAILA N. DAROGHA * and AHMED A.Q.A.S. AL-NAQSHBANDI **<br />

* Dept. of Biology, College of Education, Scientific Dept., University of Salahaddin, Kurdistan Region-Iraq<br />

** Dept. of Laboratory, Rizgary Teaching Hospital, Ministry of Health, Kurdistan Region-Iraq<br />

(Received: January 31, 2010; Accepted for publication: December 30, 2010)<br />

ABSTRACT<br />

This study was conducted at Emergency Management Center (EMC) in Erbil city to analyze (Isolation and<br />

Identification) the bacterial isolates from infected burn wounds of patients admitted to the burns unit and to<br />

determine the sensitivity pattern of the cultured bacteria to some commonly antibiotics and different honeys as<br />

antibacterial agent. A total of 50 samples (surface swab) were analyzed, 45 positive samples yielding 73 isolates, of<br />

which 59 (80.82%) were Gram-negative bacteria and 14 (19.18%) Gram-positive bacteria. The mean age was 21.51<br />

years (range: 1-45 years) and infection was most prevalent in age group 21-25 (37.77%). Among the patients, 32<br />

(71.11%) were female and 13 (28.89%) male with highest percentage of staying in the hospital occur for (6-10) days.<br />

Flame 35 (77.78%) was the most common cause of burn injuries and 25 (55.56%) of a total patients had third degree<br />

burns. The most common bacterial isolates were Pseudomonas aeruginosa 33 (45.21%), Klebsiella pneumoniae 23<br />

(31.51%), Staphylococcus aureus 11 (15.06%), Staphylococcus epidermidis 3 (4.11%), Proteus mirabilis 2 (2.74%) and<br />

Escherichia coli 1 (1.37%). The results of the antibiotics susceptibility showed that Gram-negative bacteria were<br />

highly sensitive to Amikacin 76.65%, Chloramphenicol 75.79%, Gentamicin 69.70% and Ciprofloxacin 68.87% while<br />

Gram-positive bacteria were more sensitive to Vancomycin 100% and Clindamycin 90.90%. Different honey samples<br />

investigated for their in vitro antibacterial activity against antibiotic resistant bacterial isolates showed that excellent<br />

antibacterial activity against Gram-negative and Gram-positive bacteria at 20% concentration for Qandel and<br />

Peshtashan honey (except K. pneumoniae and S. aureus, the MIC was at 30% concentration of Peshtashan honey)<br />

while 30% concentration for Sunbulah honey.<br />

KEYWORDS: Burn wound infection, Gram-positive and negative bacteria, Antibiotic sensitivity, honey as antibacterial agent.<br />

B<br />

INTRODUCTION<br />

urn is a type of injury that might be<br />

caused by a wide variety of substances<br />

and external sources such as exposure to<br />

chemicals, friction, electricity, heat and<br />

radiation. Burns remain a significant public<br />

health problem in term of morbidity, long-term<br />

disability and mortality throughout the world,<br />

especially in economically developing countries,<br />

it has been estimated that 75% of all deaths<br />

following burn injuries are related to infection<br />

(Singh et al., 2003 and Nasser et al., 2003).<br />

Thermal injury destroys the skin barrier that<br />

normally prevents invasion of microorganisms,<br />

making the burn wound the most frequent origin<br />

of sepsis in these patients (Vindenesm and<br />

Bjerknes, 1995). Burn patients become<br />

susceptible to infection due to the loss of this<br />

protective barrier and decreased cellular and<br />

humoral immunity (Wong et al., 2002). The<br />

organisms that predominate as causative agents<br />

of infection in any burn treatment facility change<br />

over time. Gram-positive bacteria are initially<br />

prevalent, then gradually become superceded by<br />

the Gram-negative opportunistic that appear to<br />

have a greater propensity to invade (Manson et<br />

al., 1992). The common pathogens isolated from<br />

burn wounds include aerobic organism like S.<br />

aureus, P. aeruginosa, Klebsiella spp. and<br />

various coliform bacilli, anaerobic organisms<br />

like Bacteroides fragilis and Fusobacterium<br />

spp. and fungi like Candida albicans and<br />

Aspergillus spp. (Revathi et al., 1998 , Macedo<br />

and Santos 2005). Multi-drug resistant bacteria<br />

have been reported as the cause of nosocomial<br />

outbreaks of infection in burn units or as<br />

colonizers of the wounds of burn patients<br />

(Agnihotri et al., 2004).<br />

Anti-infective drugs are critically important<br />

in reducing the global burden of infectious<br />

disease. Antibiotic-resistant bacteria pose a very<br />

serious threat to public health. For all kinds of<br />

antibiotics, including the major last-resort drugs,


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

the frequencies of bacterial resistance are<br />

increasing worldwide and the effectiveness of<br />

the drugs is diminished, therefore alternative<br />

antimicrobial strategies are urgently needed<br />

(World health organization 1999 , Levy and<br />

Marshall 2004).<br />

Since ancient times, honey has been used for<br />

its medicinal properties to treat a wide variety of<br />

ailments. In particular, it has been used as a<br />

dressing for wounds (including surgical<br />

wounds), burns, respiratory and gastrointestinal<br />

infections, skin ulcers and various other<br />

diseases. Microbial resistance to honey has never<br />

been reported, which makes it a very promising<br />

topical antimicrobial agent (Cooper et al., 2002<br />

and Mulu et al., 2004).<br />

Recently, many researchers have reported the<br />

antibacterial activity of honey against S. aureus,<br />

P. aeruginosa, E. coli, P. mirabilis, Shigella<br />

dysenteriae and Klebsiella spp. (Cooper et al.,<br />

2002, Agbaje et al 2006 and Adebolu, 2005).<br />

The ability of honey to kill microorganisms have<br />

been attributed to its high osmotic effect, high<br />

acidic nature, hydrogen peroxide concentration<br />

and its phytochemical nature such as flavinoids<br />

and phenolic acids (Bang et al., 2003). A<br />

number of reasons for this have been suggested:<br />

shrinkage disruption of the bacterial cell wall<br />

due to the osmotic effect of the sugar content,<br />

induction of an unfavorable environment with<br />

low-water activity, thereby inhibiting bacterial<br />

growth (Anand and Shanmugam, 1998).<br />

The aim of this study was to determine the<br />

occurrence of some pathogenic bacteria in burn<br />

wound infection and their sensitivity pattern to<br />

commonly used antibiotics, also to investigate<br />

the activity of different honeys against some<br />

pathogenic bacteria were isolated from burn<br />

wound infections.<br />

MATERIALS AND METHODS<br />

Sample collection<br />

This study was done on 50 patients admitted<br />

to Emergency Management Center (EMC) in<br />

Erbil city between 1 / July / 2009 and 15 /<br />

September / 2009. Surface wound swabs<br />

obtained from the burn patients aseptically by<br />

sterile swabs and collected in sterile capped<br />

tubes contained normal saline (0.9%), then<br />

directly transferred to the bacteriological<br />

department in Hawler Teaching Hospital.<br />

Bacterial isolation and identification<br />

Samples were inoculated on Blood agar and<br />

MacConkey agar by streaking method and<br />

incubated at 37 ° C for 18-24 hours. Cultures<br />

were carried according to Brooks et al (2007).<br />

Susceptibility test<br />

Mueller-Hinton agar was used for<br />

determining the sensitivity of bacteria by single<br />

disk diffusion method using Kirby Bauer method<br />

(Morello et al., 2003). The antibiotics tested for<br />

Gram-positive cocci were: Amoxicillin +<br />

Clavulanic acid (30µg + 10µg), Erythromycin<br />

(15µg), Trimethoprim (10µg), Ceftriaxone<br />

(10µg), Clindamycin (2µg), Cephalexin (30µg)<br />

and Penicillin (10µg); for Gram-negative bacilli<br />

were: Piperacillin (100µg), Nitrofurantion<br />

(300µg), Nalidixic acid (30µg), Cephalothin<br />

(30µg), Amikacin (30µg), Ceftazidime (30µg)<br />

and Deoxycycline (10µg); and for both of them:<br />

Ciprofloxacin (10µg), Chloromphenicol (30µg)<br />

and Vancomycin (30µg).<br />

Preparation of bacterial suspension<br />

Transfer loopful of highest antibiotic resistant<br />

bacteria to the test tube containing 5 ml nutrient<br />

broth, then incubated at 37 °C for 24 hours, then<br />

the bacterial number adjusted using a standard<br />

curve (Morello et al., 2003).<br />

Determination of minimum inhibitory<br />

concentration (MIC) of honey<br />

The MIC of different type of honey determined<br />

by turbidity method (spectrophotometer method)<br />

at 600 nm. The different concentrations of honey<br />

(v/v) were prepared in 5 ml nutrient broth<br />

medium to give final concentration of 10%,<br />

20%, 30%, 40%, 50%, 60%, 70% and 80%, then<br />

added 0.05 ml of bacterial suspension to each<br />

test tube which contains nutrient broth with<br />

different concentration of honey, then incubated<br />

in shaker incubator over night at 37 °C.<br />

RESULTS AND DISCUSSION<br />

The Burn wound is considered one of the<br />

major health problems in the world, and<br />

infection is one of the most frequent and sever of<br />

complications in patients who have sustained<br />

burns (Zorgani et al., 2009). In the present study,<br />

we recovered 73 isolates from 50 surface swabs<br />

which were taken from burn wound infection<br />

and 45(90%) of these swabs were positive, of<br />

which 59(80.82%) were Gram-negative bacteria<br />

and 14(19.18%) Gram-positive bacteria (Table<br />

1). This finding is supported by many<br />

investigators which found that initially there is<br />

colonization by Gram-positive bacteria from the<br />

patients resident cutaneous flora which is<br />

replaced later by Gram-negative bacteria, mainly<br />

from the patients gastrointestinal flora (Jinfu et<br />

233


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

al., 1997, Macedo and Santos, 2005 and Ahmed<br />

et al., 2006). Single isolate was found in 23<br />

cases (46%), and multiple isolates were found in<br />

22 cases (44%). Five samples (10%) showed<br />

absence of bacterial pathogens (Table 2). This is<br />

in agreement with other studies (Revathi et al.,<br />

1998 and Atoyebi et al., 1992) while is contrast<br />

to other reported study where multiple isolates<br />

have been seen in up to 78% of cases (Kaushik<br />

et al., 2001). Burns provide a suitable site for<br />

bacterial multiplication. It is richer and more<br />

persistent source of infection than the surgical<br />

wounds because a readily accessible damaged<br />

tissue and nutrient rich exudates of burns<br />

constitute an excellent bacterial culture medium<br />

(Shaikh et al., 2004).<br />

Table (1): Frequency of type of microorganisms<br />

isolated.<br />

Type of microorganisms Number Percentage<br />

234<br />

Gram-negative bacteria 59 80.82%<br />

Gram-positive bacteria 14 19.18%<br />

Table (2): Frequency of type of cultures isolated out<br />

of 50 burn samples.<br />

Type of cultures Number Percentage<br />

Single 23 46%<br />

Double 16 32%<br />

Triple 6 12%<br />

Nil 5 10%<br />

P. aeruginosa was the most common isolate 33<br />

(45.21%) in this study (Table 3) as has been<br />

reported by other authors (Akhi and Hasanzadeh,<br />

2005, Ekrami and Kalantar, 2008), where this<br />

organism was held responsible for the majority<br />

of invasive burn wound infections in burntreatment<br />

facilities. Prevalence of Pseudomonas<br />

spp. in the burn wards may be due to the fact<br />

that this organism thrives in a moist environment<br />

(Atoyebi et al., 1992). The second most common<br />

isolate was K. pneumoniae 23 (31.51%). This<br />

result is in agreement with Nagoba et al (1999)<br />

and Al-Akayleh (1999) which recorded that the<br />

K. pneumoniae were 27.6% and 42.6%<br />

respectively. K. pneumoniae is a major cause of<br />

nosocomial infection leading to morbidity and<br />

mortality among patient population (Malik and<br />

Chhibber, 2009). S. aureus also been considered<br />

as one of the common bacteria and frequency of<br />

isolation in this study was 11 (15.06%). This<br />

result is in a ccordance with other studies<br />

(Mehta et al., 2007 and Revathi et al., 1998)<br />

which recorded that the rate of S. aureus were<br />

17% and 19% respectively. S. aureus is the most<br />

frequently isolated microorganism from body<br />

surface because it is normal flora of skin and this<br />

could easily be introduced into the wound either<br />

by the patients dressing materials or through the<br />

object that causes the injury (Hardy, 2003). In<br />

our study S. epidermidis was isolated only from<br />

three patients (4.11%) followed by P. mirabilis<br />

and E. coli (2.74% and 1.37%) respectively.<br />

Table (3): Frequency of different microorganism<br />

isolated out of 50 burn samples.<br />

Microorganisms Number of<br />

Pseudomonas<br />

aeruginosa<br />

Klebsiella<br />

pneumoniae<br />

Staphylococcus<br />

aureus<br />

Staphylococcus<br />

epidermidis<br />

Isolates<br />

Percentage<br />

33 45.21%<br />

23 31.51%<br />

11 15.06%<br />

3 4.11%<br />

Proteus mirabilis 2 2.74%<br />

Escherichia coli 1 1.37%<br />

Table (4) show frequency of burn infection<br />

according to different parameters with<br />

relationship of Gram-positive and Gramnegative<br />

bacterial isolates, accident burn wound<br />

infection was most prevalent in the age group<br />

21-25 (37.77%) and the rate of burn infection<br />

was observed highly, Gram-negative 30.14%<br />

and Gram-positive 6.85%, while infection was<br />

less prevalent in the age group over 41 years old<br />

(2.22%). Other studies has shown that most<br />

infection were recorded among age > 10, 20-30<br />

years (Kehinde et al., 2004 and Chalise et al.,<br />

2008) respectively. Among 45 burn patients, 32<br />

of them were female and 13 were male and<br />

burns predominated in female (71.11%) than<br />

male (28.89%). This may be because of the<br />

reason that accidental burns are more common in<br />

females as they tend to spend more time near fire<br />

(Kaur et al., 2007). These results were agreed<br />

with Negeri (2005) ; Ganatra and Ganatra,<br />

(2007) and disagree with Ann (1976) which<br />

showed that burn was more prevalent in male<br />

than female by working in industry or factory<br />

and increased risk-taking behavior. During the<br />

study we observed that the burn infection with<br />

highest percentage of staying in the hospital<br />

occurs in 1-5 and 6-10 was (26.67% and<br />

31.11%) respectively. Gram-negative bacteria


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

which isolated in duration (1-5 and 6-10) days<br />

were 24.66% and 23.29% respectively, as a<br />

highest percentage, while Gram-positive bacteria<br />

which isolated in the same duration were 4.11%<br />

and 6.85% respectively. This has been shown in<br />

other studies in which was more infection occurs<br />

within duration (1-10) days (Brunicardi et al.,<br />

2005). In this study, flames are the most<br />

common cause of burn 35 (77.78%) followed by<br />

hot water 5 (11.11). These results were in<br />

agreement with other studies which reported that<br />

the flame was most common cause of burn<br />

infection 80.5%, 50% and 48.7% respectively<br />

(Negeri (2005); Kehinde et al., 2004 and<br />

Brunicardi et al., 2005). Flame burn is the most<br />

common mechanism in thermal injury (Kaur et<br />

al., 2007).<br />

Table (4): Frequency of burn infections and relationship between types of microorganisms according<br />

to different parameters.<br />

Age (Years)<br />

Sex<br />

Duration of hospital stay (Day)<br />

Cause of burn<br />

Degree of burn<br />

Parameters Number (%) Gram-negative<br />

This study indicates that 4.44% of the burn<br />

patients were first-degree, 40% had seconddegree<br />

burns and 55.56% had third-degree burns<br />

and 56.16% of burn wound infection patients<br />

had third-degree burns which infected by Gramnegative<br />

bacteria and 5.48% was by Grampositive<br />

bacteria. This result is in contrast with<br />

the result of Al-Akayleh (1999) who indicates<br />

that 53.90% of the burn patients was second<br />

bacteria<br />

Gram-positive<br />

bacteria<br />

1-5 5 (11.11%) 5 (6.85%) 3 (4.11%)<br />

6-10 2 (4.44%) 3 (4.11%) 1 (1.37%)<br />

11-15 3 (6.67%) 2 (2.73%) 1 (1.37%)<br />

16-20 8 (17.78%) 12 (16.44%) 1 (1.37%)<br />

21-25 17 (37.77%) 22 (30.14%) 5 (6.85%)<br />

26-30 3 (6.67%) 3 (4.11%) 0<br />

31-35 3 (6.67%) 5 (6.85%) 1 (1.37%)<br />

36-40 3 (6.67%) 5 (6.85%) 2 (2.73%)<br />

54 1 (2.22%) 2 (2.73%) 0<br />

Female 32 (71.11%) 44 (60.27%) 8 (10.96%)<br />

Male 13 (28.89%) 15 (20.55%) 6 (8.22%)<br />

1-5 12 (26.67%) 18 (24.66%) 3 (4.11%)<br />

6-10 14 (31.11%) 17 (23.29%) 5 (6.85%)<br />

11-15 5 (11.11%) 7 (9.59%) 1 (1.37%)<br />

16-20 4 (8.89%) 5 (6.85%) 1 (1.37%)<br />

21-25 3 (6.67%) 3 (4.11%) 1 (1.37%)<br />

26-30 6 (13.33%) 7 (9.59%) 3 (4.11%)<br />

40 1 (2.22%) 2 (2.73%) 0<br />

Flame 35 (77.78%) 48 (65.75%) 12 (16.44%)<br />

Electric 2 (4.44%) 4 (5.48%) 0<br />

Hot water 5 (11.11%) 4 (5.48%) 2 (2.74%)<br />

Oil 1 (2.22%) 1 (1.37%) 0<br />

Explosion 2 (4.44%) 2 (2.74%) 0<br />

First 2 (4.44%) 3 (4.11%) 1 (1.37%)<br />

Second 18 (40%) 15 (20.55%) 9 (12.33%)<br />

Third 25 (55.56%) 41 (56.16%) 4 (5.48%)<br />

degree while 32.46%, 13.87% was first and third<br />

degree respectively.<br />

The pattern of bacterial sensitivities is subject<br />

to frequent modification. Its assessment is<br />

important for epidemiological and clinical<br />

purpose. Table 5 and 6 illustrates the different<br />

activity against isolated bacteria by the<br />

antibiotics in most frequent use in our country.<br />

Presently, the most active drugs against Gram-<br />

235


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

positive bacteria (S.aureues and S. epidermidis )<br />

are Vancomycin 100% followed by Clindamycin<br />

90.90% and 63.63% to Ceftriaxone, Cephalexin,<br />

Gentamicin,Ciprofloxacin and Chloramphenicol.<br />

This was similar to reports elsewhere (Revathi et<br />

al., 1998 and Atoyebi et al., 1992). Gramnegative<br />

bacteria were more sensitive to<br />

Amikacin 76.65%, Chloramphenicol 75.79%,<br />

Gentamicin and Ciprofloxacin 69.70% and<br />

68.87% respectively. We found in our results<br />

that P. aeruginosa which was the commonest<br />

isolate was highly resistant to Ceftazidime and<br />

Nalidixic acid (96.97% and 93.94%)<br />

respectively and sensitive to Amikacin (84.84%)<br />

followed Vancomycin and Gentamicin<br />

(78.78%), in contrast to a study in India by<br />

Revathi et al (1998) which showed 82.8%<br />

sensitivity to Ceftazidme. A study done by<br />

Mehta et al (2007) showed that P. aeruginosa<br />

was moderately resistant to Piperacillin<br />

(41.42%) whereas resistance was more marked<br />

236<br />

for Amikacin (85.81%), Gentamicin (89.22%)<br />

and Ciprofloxacin (78.81%). K. pneumoniae was<br />

found to be highly resistant (100%) to<br />

Vancomycin, Gentamicin, Cephalothin and<br />

Piperacillin, while P. mirabilis was absolutely<br />

sensitive to Piperacilli, Cephalothin, Gentamicin,<br />

Vancomycin, Amikacin, Chloramphenicol and<br />

Ciprofloxacin. A similar results of multidrug<br />

resistant Gram-positive and negative bacteria has<br />

been reported from several studies (Singh et al.,<br />

2003, Agnihotri et al., 2004, Kaushik et al.,<br />

2001 and Dhar et al., 2007). The high percentage<br />

of multi-drug resistant isolate is probably due to<br />

empirical use of broad-spectrum antibiotics and<br />

non adherence to hospital antibiotic policy.<br />

These multi-resistant strains establish<br />

themselves in the hospital environment in areas<br />

like sinks, taps, mattress, toils and thereby<br />

spread from one patient to another (Mehta et al.,<br />

2007).<br />

Table (5): Percentage of sensitivity of Gram-positive bacteria isolated from burn patients in response to different antibiotic.<br />

Isolates AMC<br />

Staphylococcu<br />

s aureus<br />

(n=11)<br />

Staphylococcu<br />

s epidermidis<br />

(n=3)<br />

30 µg<br />

18.18<br />

%<br />

Percentage 59.09<br />

C<br />

30 µg<br />

27.27<br />

%<br />

CIP<br />

10 µg<br />

27.27<br />

%<br />

CL<br />

30 µg<br />

27.27<br />

%<br />

CN<br />

10 µg<br />

27.27<br />

%<br />

CRO<br />

10 µg<br />

27.27<br />

%<br />

DA<br />

2 µg<br />

81.81<br />

%<br />

E<br />

15 µg<br />

36.36<br />

%<br />

P<br />

10 µg<br />

18.18<br />

100% 100% 100% 100% 100% 100% 100% 0% 66.66<br />

%<br />

63.63<br />

%<br />

63.63<br />

%<br />

63.63<br />

%<br />

63.63<br />

%<br />

63.63<br />

%<br />

90.90<br />

%<br />

18.18<br />

AMC= Amoxicillin+Clavulanic Acid, E= Erythromycin, TMP= Trimethoprim, CRO= Ceftriaxone, DA= Clindamycin,<br />

CL= Cephalexin, P= Penicillin, CN= Gentamicin CIP= Ciprofloxacin, C= Chloramphenicol, VA= Vancomycin.<br />

%<br />

%<br />

%<br />

42.42<br />

Table (6): Percentage of sensitivity of Gram-negative bacteria isolated from burn patients in<br />

response to different antibiotic.<br />

Isolates AK<br />

Pseudomona<br />

s aeruginosa<br />

(n=33)<br />

Klebsiella<br />

pneumoniae<br />

(n=23)<br />

Proteus<br />

mirabilis<br />

(n=2)<br />

Esherichia<br />

coli<br />

(n=1)<br />

30 µg<br />

84.84<br />

%<br />

21.74<br />

%<br />

Percentage 76.65<br />

C<br />

30 µg<br />

CAZ<br />

30 µg<br />

CIP<br />

10 µg<br />

72.73 3.03% 36.36<br />

30.43<br />

%<br />

%<br />

4.35% 39.13<br />

%<br />

CN<br />

10 µg<br />

78.78<br />

%<br />

DO<br />

10 µg<br />

75.75<br />

%<br />

F<br />

300 µg<br />

42.42<br />

%<br />

0% 4.35% 56.52<br />

%<br />

KF<br />

30 µg<br />

66.66<br />

%<br />

NA<br />

%<br />

30 µg<br />

0% 21.74<br />

TMP<br />

10 µg<br />

63.63<br />

%<br />

VA<br />

30<br />

µg<br />

100<br />

%<br />

0% 100<br />

31.81<br />

%<br />

PRL<br />

100µg<br />

6.06% 42.42<br />

%<br />

%<br />

%<br />

100<br />

%<br />

VA<br />

30 µg<br />

78.78<br />

%<br />

0% 0%<br />

100% 100% 50% 100% 100% 0% 0% 100% 50% 100% 100%<br />

100% 100% 0% 100% 100% 0% 100% 0% 100% 0% 0%<br />

%<br />

75.79<br />

%<br />

14.35<br />

%<br />

68.87<br />

%<br />

69.70<br />

%<br />

20.02<br />

%<br />

49.74<br />

%<br />

41.67<br />

PRL= Piperacillin, F= Nitrofurantoin, NA= Nalidixic Acid, KF= Cephalothin, AK= Amikacin, CAZ=Ceftazidime,<br />

DO= Doxycycline, CN= Gentamicin, CIP= Ciprofloxacin, C= Chloramphenicol, VA= Vancomycin.<br />

%<br />

44.45<br />

%<br />

35.61<br />

%<br />

44.70<br />

%


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

Several laboratory studies have evidence to<br />

support the use of honey as a wound dressing.<br />

Honey has been shown to stimulate cytokine<br />

production by monocytes, which inturn initiates<br />

tissue repair. Honey has broad-spectrum<br />

antibacterial activity; however, different honeys<br />

vary substantially in the potency of their<br />

antibacterial activity (Tonks et al., 2001 and<br />

Honey<br />

Concentration of honey %<br />

Qandel<br />

Peshtashan<br />

Sunbulah<br />

Isolates<br />

Tonks et al., 2003). In this study, both locally<br />

and commercially honey obtained have showed<br />

antibacterial activity against different bacterial<br />

species which were isolated from burn wound<br />

infections. The MIC of honey samples was<br />

determined through reading the optical density<br />

by spectrophotometer at 600 nm, as shown in<br />

table (7).<br />

Table (7): The MIC of different honey for highest antibiotic resistant isolated bacteria.<br />

10%<br />

Pseudomonas<br />

aeruginosa<br />

Klebsiella<br />

pneumoniae<br />

Proteus<br />

mirabilis<br />

Esherichia<br />

coli<br />

Staphylococcus<br />

aureus<br />

Staphylococcus<br />

epidermidis<br />

* 0.646 0.557 0.327 0.411 0.785 0.320<br />

20% 0.006 0.245 0.058 0.036 0.218 0.133<br />

30% 0 0 0.014 0.028 0.016 0<br />

40% 0 0 0 0 0 0<br />

10% 0.303 0.317 0.231 0.43 0.120 0.66<br />

20% 0.016 0.54 0.003 0.027 0.58 0.06<br />

30% 0 0.001 0 0 0.07 0.007<br />

40% 0 0 0 0 0 0<br />

10% 0.735 0.762 0.522 0.450 0.761 0.834<br />

20% 0.124 0.144 0.031 0.210 0.017 0.490<br />

30% 0.022 0.008 0.027 0.013 0.016 0.114<br />

40% 0 0 0 0 0 0<br />

* spectrophotometer reading<br />

Reading decreased from 0.646 to 0.006 for P.<br />

aeruginosa, from 0.557 to 0.245 for K.<br />

pneumoniae, from 0.327 to 0.058 for P.<br />

mirabilis, from 0.411 to 0.036 for E. coli, from<br />

0.785 to 0.218 S. aureus and from 0.320 to 0.133<br />

for S. epidermidis at the concentration 10% to<br />

20% and this mean that the concentration of<br />

20% was the MIC for all tested bacteria. No<br />

difference was observed in the antibacterial<br />

activity of Peshtashan honey. The concentration<br />

of 20% was seen to be the MIC for all tested<br />

bacteria except for K. pneumoniae (reading<br />

decreasing from 0.317 to 0.001) and S. aureus<br />

(reading decreased from 0.120 to 0.07) at the<br />

concentration 10% to 30%, this means that the<br />

MIC for K. pneumoniae and S. aureus was 30%<br />

while for Sunbulah honey, the MIC was at the<br />

concentration of 30% for all tested bacteria.<br />

Researchers working on honey, showed that pure<br />

honey is bactericidal for many pathogenic<br />

organisms including various Gram-negative and<br />

Gram-positive bacteria. (Subrahmanyam et al.,<br />

2003a) used honey to determine antibacterial<br />

activity against different pathogenic bacteria<br />

which were isolated from burn and they have<br />

shown that 100% inhibition was observed at<br />

25% (v/v) honey concentration for P.<br />

aeruginosa, coagulase-negative staphylococci<br />

and S. aureus, K. pneumoniae at 30%<br />

concentration and P. vulgaris at 20% honey<br />

concentration. Another study done by the same<br />

researchers (Subrahmanyam et al., 2003b)<br />

showed that of all 28 isolates of coagulasepositive<br />

S. aureus which were isolated from<br />

infected burn wounds showed inhibition with<br />

honey at concentration of 25% while French et<br />

al (2005) showed that the growth of both S.<br />

aureus and coagulase-negative Staphylococci<br />

isolates were inhibited by manuka and pasture<br />

honeys at concentrations of 2.7-5%. Study done<br />

by Agbaje et al (2006) showed inhibitory effects<br />

of honey at 50% and 100% concentrations on the<br />

various pathogenic bacteria (S. aureus, P.<br />

mirabilis, E. coli, P. aeruginosa, Klebsiella<br />

spp., S. albus and Streptococcus faecalis).<br />

Honey may inhibit bacterial growth due to a<br />

number of different mechanisms, presence of an<br />

“inhibine” factor in honey, which is hydrogen<br />

peroxide is a well-known antimicrobial agent<br />

(Bang et al., 2003). High sugar concentration<br />

237


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

exert an osmotic pressure which makes little or<br />

no water available for the microorganisms to<br />

survive, low PH, proteinaceaus compounds or<br />

other unidentified components present in the<br />

honey may all provide antimicrobial activity<br />

(Mundo et al., 2004). Because of its high<br />

viscosity, it forms a physical barrier and the<br />

presence of enzyme catalase gives honey an<br />

antioxidant property. These properties of honey<br />

make it an ideal and coast-effective dressing for<br />

burn patients (Bangroo et al., 2005).<br />

REFERENCES<br />

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patients. Libyan Journal of Medicine. 4:104-106.<br />

239


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

ةل<br />

242<br />

) ىاتوس ىةكةي(<br />

ىزاشوطايسف ىزةسةزاض ىزةتنةس ىةناخشَوخةن ةل ازدنايةط مانجةئةب ةي ةوةهيلَوكَيل مةئ<br />

ةتخوث<br />

ةو . تَيبةد اديةث ىاتوس ىمانجةئ ةل ةك ىاكةشَوخةن ىهيسب ةل ىاكةواسكايج ةيايتركةب ىةوةندسكيش َوب سَيلوةي ىزاش<br />

ىاوَين ةل ةنايايتركةب مةئ َوب ويوطنةي ةل ةشاوايج ىزَوج و ىتسَلةيزةبةدهيش ىزايتسةي ىزةطيزاك ىندسك ىزايد<br />

َلى ىيايتركةب ىةشةط ىايةنوونم<br />

51<br />

َوب ىووب ظيتةطَين ةك ىةنايايتركةب وةئ<br />

،ةواسكيش ىةنوونم<br />

10<br />

ىَوك<br />

ةل<br />

. 9002<br />

. ةوةناسك كَيل ىيايتركةب ىةواسكايج<br />

لوليةئ<br />

37<br />

51<br />

ات شوومةت ىطنام ىاتةزةس<br />

ةناشةط مةئ ىَوك ةل ةو اسك ىدةب<br />

ىةيَوب َوب وظيتةسَوث<br />

ةك ةنايايتركةب وةئ ةو )% 00,09(<br />

ىووب ةواسكايج 12 ) Negative for Gram stain(<br />

ماسط ىةيَوب<br />

ىووب شووت . ىاكةييايتركةب ةواسكايج ىتشط ىَوك ةل )% 52،50(<br />

ةيةواسكايج 55 ) Positive for Gram stain(<br />

،ىاكةشَوخةن ىتشط ىَوك ةل .)% 73،33(<br />

ىةرَيز ةب ووب وَلابزةب َلاس<br />

91-95<br />

ماسط<br />

ىناكةنةمةت ىاوَين ةل زَوش ىكةيةرَيز ةب<br />

-6<br />

ةل ىايةبزَوش ىاكةشَوخةن ةل ىوايرطزةو ةك ةنانوونم وةئ ةو )% 90،02(<br />

ىةسَين ىاي<br />

57و<br />

)% 35،55(<br />

91 ىةرَيز ةو )% 33،30(<br />

71<br />

ىزاكَوي ةك ىاكةوَلابزةب<br />

زَوش ةنوونم<br />

ىةرَيز ةب ووب ىاكةناتوس ىكةزةس ىزاكَوي سطائ ةك اسك ىزايد ةو<br />

ىةيي َىم ىاي<br />

. ةوةنووبام ذَوز<br />

. ووب مةي َىس ىةلث ةل ىايناتوس ةك ىاكةشَوخةن تشط ى<br />

79<br />

50<br />

)% 11،16(<br />

97 Klebsiella pneumoniae و )% 51.95(<br />

77 Pseudomonas aeruginosa -:<br />

ةل ينتيسب وناكةواتوس ىندسكوةي<br />

Proteus<br />

و )% 5.55(<br />

7 Staphylococcus epidermidis و )% 51.06(<br />

55 Staphylococcus aureus و )% 75.15(<br />

ىايةزوةط ىكةيزايتسةي ماسط ىةيَوب َوب ىاكةظيتةطَين ايتركةب<br />

.)% 5.73(<br />

5 Escherichia coli و )% 9.35(<br />

% 60,03 Ciprofloxacin ةو % 62,30 Gentamicin ،%<br />

31,32 Chloramphenicol ،%<br />

36,61<br />

% 500<br />

وةئ ىذد<br />

Vancomycin<br />

) ادبويت وانةل(<br />

Amikacin<br />

9 mirabilis<br />

َوب ووبةي<br />

َوب ادناشين ىايةزوةط ىكةيزايتسةي ماسط ىةيَوب َوب ىاكةظيتةشَوث ايتركةب ادتاك ىامةي ةل مَلاةب<br />

ىيايتركةب ةذد وكةو اسهَييزاكةب ويوطنةي ةل شاوايج ىزَوج<br />

.% 20.20<br />

Clindamycin<br />

و ظيتةشَوث ىايتركةب ىذد َوب ةيةي ىايةزوةط ىكةياناوت ةو ،ىاكةتسَلةيزةب ةدهيش َوب ةيةي ىايسطزةب ةك ىةنايايتركةب<br />

K.<br />

ةل ةطج(<br />

ىزَوج ةل ويوطنةي َوب<br />

Peshtashan<br />

% 70<br />

و<br />

Qandel<br />

ىزَوج ةل ويوطنةي َوب<br />

% 90<br />

ىتيةث ةل ةي ىتيسب ةشةط ىهتسطَيز ىتيةث ويترمةك<br />

،<br />

ةو<br />

ىتيةث ةل ماسط ىةيَوب َوب ظيتةطَين<br />

S. aureus<br />

و<br />

Pneumoniae<br />

.<br />

Sunbulah ىهيوطنةي َوب % 70 ىتيةث ةب ةو ) Peshtashan


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 232-241, 2011<br />

قورحلا جمخ نم ةلوزعملا ةيضرملا ميثارجلا ضعب ىلع لسعلل<br />

) صيخشتو لزع(<br />

ليلحتل<br />

ليبرأ ةنيدم يف<br />

ةلوزعملا<br />

نم . 9002<br />

ميثارجلا<br />

ميثارجلا<br />

/ لوليأ /<br />

ةيساسح طمن ديدحتو<br />

51<br />

. ةيموثرج ةلزع<br />

و<br />

37<br />

9002<br />

/ زومت /<br />

يموثرجلا داضتلا ةيلاعفو ةيموثرج ةسارد<br />

– قورحلا تادحو – ئراوطلا ىفشتسم يف ةساردلا هذه ءارجأ مت<br />

تادحولا هذه يف نيدقارلا قورحلا جمخب نيباصملا نم<br />

5<br />

لزع<br />

مت اهنمو ةيباجيا تناك ةنيع<br />

ةصلاخلا<br />

ةيموثرجلا تلازعلا<br />

نيب ةرتف للاخ لسعلا نم ةفلتخم عاونأو ةعئاشلا ةيويحلا تاداضملا ضعبل<br />

51<br />

،اهليلحت مت ىتلا<br />

. ةيموثرجلا تلازعلا عومجم نم )% 52.1.<br />

( 55 مارغ ةغبصل ةبجوملا ميثارجلا<br />

و )% 00.09(<br />

) ةيحطس ةحسم(<br />

12<br />

ةنيع<br />

10<br />

عومجم<br />

تناك مارغ ةغبصل ةبلاسلا<br />

ثانلإا<br />

يف تاباصلأا تناك تانيعلا عومجم نمو .)% 73.33(<br />

91-95<br />

ةيرمعلا ةئفلا يف تناك ًاراشتنأ رثكلأا تاباصلأاو<br />

) 50-6(<br />

نيب ام تلصح ىفشتسملا ىف دوقرلل ةبسن ىلعأو ،روكذلا يف )% 90.02(<br />

57 و )% 35.55(<br />

79 ًاراشتنا رثكأ<br />

ىضرملل ىلكلا عومجملا نم )% 11.16(<br />

91 و )% 33.30(<br />

71 قورحلا تاباصلإ<br />

ًاعويش رثكلأا تناك بهللا نأ نيبت . مايأ<br />

Pseudomonas<br />

) 51.05(<br />

5<br />

55<br />

Escherichia coli<br />

و % 31.32<br />

: تناك قورحلا جمخل ةببسملاو ًاعويش رثكلأا تلازعلا<br />

Staphylococcus aureus<br />

و<br />

)% 9.53(<br />

9<br />

و<br />

)% 75.15(<br />

proteus mirabilis<br />

97 Klebsiella pneumoniae<br />

و<br />

)% 5.55(<br />

. ةثلاثلا ةجردلا نم قورحلا مهيدل تناك<br />

7<br />

و<br />

) 51.95(<br />

77<br />

aeruginosa<br />

Staphylococcu epidermidis<br />

Chloramphenicol و % 36,61 Amikacin ـل ةيلاع ةيساسح تاذ تناك مارغ ةيبلاس ميثارج .)% 5.73(<br />

ةيساسح رثكأ تناك مارغ ةبجوم<br />

يف(<br />

ميثارج نيح يف<br />

يموثرج داضمك<br />

لسعلا نم<br />

ةفلتخم عاونأ مادختسأ مت<br />

دنع مارغلا<br />

ثيح ،S.<br />

% 60.03<br />

.% 20.20<br />

Ciprofloxacin<br />

و<br />

Clindamycinو<br />

% 62.30<br />

% 500<br />

Gentamicin<br />

Vancomycin<br />

ةيباجيإو<br />

مارغلا<br />

ةيبلاس ميثارج دض ةيلاع ةءافك ترهظأو<br />

،ةيويحلا<br />

تاداضملل ةمواقملا ميثارجلا دض<br />

aureus<br />

و<br />

K.<br />

Pneumoniae<br />

ادعام(<br />

Peshtashan<br />

و<br />

Qandel<br />

ةقطنم نم جتنملا لسعلل<br />

ـل<br />

) جاجزلا<br />

% 90زيكرت<br />

.<br />

Sunbulahو<br />

Peshtashan يتقطنم يف جتنملا لسعلا نم % 70 زيكرتل امهيتلكت<br />

باجتسا<br />

242


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

242<br />

ANN-BASED STATIC SLIP POWER RECOVERY<br />

CONTROL OF WRIM DRIVE<br />

ALI A. RASOOL and HILMI F. AMEEN<br />

Dept. of Electrical Engineering, College of Engineering, University of Salahaddin, Kurdistan Region-Iraq<br />

(Received: October 17, 2010; Accepted for publication: August 14, 2011)<br />

ABSTRACT<br />

This paper presents a novel ANN-based slip power recovery drive system of WRIM, which estimates the<br />

appropriate firing angle of the thyristors in the inverter circuit for any given operation condition. Adjusting the speed<br />

or electromagnetic torque of the WRIM can be achieved by controlling the slip energy through slip power recovery in<br />

rotor side. The performance characteristics of drive system are determined using simple DC equivalent circuit. The<br />

obtained results are satisfactory and promising. The proposed controller operates on open loop, so it does not require<br />

speed sensor. Another advantages of such controller are it’s simplicity of the configuration and high accuracy. The<br />

effectiveness of these controllers is demonstrated for different operation conditions of the drive system.<br />

KEY WORDS: Artificial Neural Network (ANN), Wound Rotor Induction Motor (WRIM), Slip Power Recovery, Speed<br />

Control<br />

A<br />

INTRODUCTION<br />

n induction motor is used for many<br />

applications and several driving<br />

schemes were proposed. In recent power<br />

electronics development, slip power recovery<br />

system is one of the driving methods [1]. A slip<br />

power recovery system is composed of doubly<br />

excited machine and power electronic converters<br />

in the rotor circuit which is very attractive for<br />

variable speed constant frequency power<br />

generation. It was found that there are increasing<br />

applications of such motor control such as wind<br />

energy generation, hydro power, aerospace and<br />

novel power generation. The advantages of slip<br />

power recovery systems are high efficiency and<br />

lower converter rating.<br />

Control speed of WRIM with slip power<br />

recovery is important in higher power rating.<br />

The speed at sub-synchronous can be controlled<br />

by adjusting the resistance in the rotor circuit,<br />

which causes the slip power loss in external rotor<br />

resistance. The losses can be converted and<br />

returned back to AC mains by using line<br />

commutated inverter, where the three phase rotor<br />

currents are rectified with diode rectifier to feed<br />

power to intermediate DC current and to make<br />

the power unidirectional. The speed is controlled<br />

by changing the back DC voltage at the<br />

intermediate DC link. If this voltage is increased,<br />

the speed is supposed to decrease in order that<br />

the rotor rectified voltage can drive the current<br />

through DC circuit [2]. Usually the current<br />

inverter is a six thyristors rectifier working with<br />

firing angles greater than 90 degrees [3]. Many<br />

studies were done for simulating the slip power<br />

recovery. E. Akpinar and P. Pilly had made<br />

detailed studies for the rotor performance<br />

including the rectifier behavior and overlap<br />

problem [4]. Amr M. A. Amin, used ANN-based<br />

on tracking control techniques that are evolving<br />

to serve high performance drives such as<br />

sliding mode and the adaptive control [5].<br />

S. Tunyasrirut, et. al. used a fuzzy logic<br />

control for speed control of WRIM at self tuning<br />

by keeping the speed constant and adjusting the<br />

rotor current appropriated to the load [6]. A K<br />

Mishra, simulated the slip power recovery by<br />

spice simulation using equivalent circuit model<br />

of wound rotor induction motor [7]. Sateen<br />

Tunyasirut and Jongkol Nayamwiwit proposed<br />

an adaptive fuzzy nero controller to control the<br />

speed of wound rotor induction motor with slip<br />

energy recovered. In their model the simulation<br />

and experimental results showed that the<br />

adaptive fuzzy-nero controller gives a good<br />

controlled system by keeping the speed constant<br />

and good transient responses without overshoot<br />

can be obtained [8]. M. Y. Abdelfattah presented<br />

a novel ANN based chopper controller, which<br />

generate the appropriate chopper duty cycle for<br />

any given operation condition [9].<br />

This paper presents an ANN based slip power<br />

recovery of WRIM drive in which the<br />

appropriate firing angle of the inverter is found<br />

as a function of required motor speed and load<br />

torque. The ANN based drive controller is faster<br />

than another algorithm because of their parallel


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

structure, it does not require solution of any<br />

mathematical model, with the absence of the<br />

speed sensor.<br />

DEVELOPMENT OF DC EQUIVALENT<br />

CIRCUIT MODEL<br />

AND PERFORMANCE EQUATIONS<br />

The electrical model of Slip Power Recovery<br />

Controlled of wound rotor induction motor drive<br />

is shown in figure (1) which consists of three<br />

phase wound rotor induction motor, a three<br />

phase uncontrolled rectifier, smoothing inductor,<br />

a three phase controlled converter and a three<br />

phase recovery transformer. For using the DC<br />

equivalent circuit model in [10], the following<br />

assumptions should be made:<br />

1. The DC link current is ripple free by<br />

connecting a high value of conductor.<br />

2. The Commutation distortion due to leakage<br />

inductance of the motor is neglected.<br />

3. The flux can be assumed sinusoidal.<br />

4. The recovery transformer is assumed to be<br />

ideal.<br />

5. The effect of magnetizing current being very<br />

small and negligible.<br />

Figure (2) shows the DC equivalent circuit of<br />

Slip Power Recovery of WRIM, where all the<br />

parameters of AC side are referred to DC link<br />

side [11].<br />

Fig. (1): Power circuit diagram of Slip Power Recovery for WRIM<br />

Fig. (2): DC Equivalent circuit of slip power recovery of WRIM<br />

The expression of output DC voltage (Vd) of<br />

uncontrolled rectifier is given by: [4]<br />

V<br />

d<br />

3<br />

�<br />

6SV<br />

�n<br />

1<br />

SL<br />

� � � � �<br />

( 1)<br />

Where n1 is the stator to rotor turn ration, S is<br />

the slip and VSL is the stator line voltage at<br />

standstill. Also the DC voltage for controlled<br />

converters (Vi) is: [4]<br />

243


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

3 6 VSLCos�<br />

Vi<br />

�<br />

� � � � � �(<br />

2)<br />

� n2<br />

Where n2 is the transformer line side to inverter<br />

side turns ratio and α is the inverter firing angle<br />

( 90 � � �180�<br />

). The copper loss of rotor is<br />

determined by:<br />

/<br />

Xls � Xlr<br />

/<br />

Pcu<br />

� [ Vd<br />

�{<br />

3S(<br />

) � 2SR<br />

S}<br />

Id<br />

] Id<br />

� ( 3)<br />

�<br />

3 /<br />

/<br />

Assuming that rS � ( XL S � XLr<br />

) � 2RS<br />

,<br />

�<br />

then the equation (3) is simplified to:<br />

2<br />

P rcu �Vd Id<br />

� SrS<br />

Id<br />

� � � � �(<br />

4)<br />

The air gap power is:<br />

rotor loss 1<br />

2<br />

P g � � ( Vd<br />

Id<br />

� SrS<br />

Id<br />

) � � � ( 5)<br />

S S<br />

In steady state operation, the torque is<br />

proportional to rectified rotor DC link current Id,<br />

which in turns, is equal to the difference between<br />

the rectified rotor voltage Vd and the voltage<br />

back emf of the inverter Vi, divided by the<br />

resistance of the DC link inductor. At no load,<br />

the motor torque is negligible and for a certain<br />

rectified rotor current Id, which is almost zero,<br />

the two direct voltages Vd and Vi will be<br />

balanced. It can be noticed from the derivation<br />

that the voltage Vd will be proportional to the<br />

slip and the torque will be proportional to the<br />

current Id.<br />

The electromagnetic developed torque =<br />

Pg<br />

Te<br />

� , then:<br />

�s<br />

6 VSL<br />

2<br />

( 3 Id<br />

� rS<br />

Id<br />

)<br />

� n1<br />

Te<br />

�<br />

� � � � � �(<br />

6)<br />

�s<br />

The DC link current for specified value of<br />

delay angle (α) of the inverter is given by:<br />

3 6VSL<br />

S Cos�<br />

[ ( � )<br />

� n1<br />

n2<br />

Id<br />

�<br />

� � � � � ( 7)<br />

SrS<br />

� 2Rr<br />

� Rd<br />

Equation (7) gives the relation between the<br />

DC link current and firing angle α of the<br />

inverter.<br />

244<br />

ARTIFICIAL NEURAL NETWORK<br />

Artificial Neural Networks (ANN) are a<br />

computational modeling tools that have recently<br />

emerged and found extensive acceptance in<br />

many disciplines for modeling complex real<br />

world problems. ANNs may be defined as<br />

structures comprised of densely interconnected<br />

adaptive simple processing elements called<br />

artificial neurons or nodes that are capable of<br />

performing massively parallel computations for<br />

data processing. The attractiveness of ANNs<br />

comes from the remarkable information<br />

proceeding characteristics of the biological<br />

system [12].<br />

The simplest form of ANN is known as the<br />

perecptron Figure (3). Multi Layer Perceptron<br />

(MLP) is a collection of simple processing units<br />

highly interconnected which process the<br />

information fed to the input units, these units are<br />

organized by layers. Typically the neurons in the<br />

input layer serve only for transforming the input<br />

pattern to the network without any processing.<br />

The information is processed by the hidden and<br />

output neurons. Each neuron has a certain<br />

number of inputs, but only one output [12].<br />

Fig. (3): Internal Structure of the Neuron<br />

To solve more complicated problems, MLP is<br />

used which is trained using the back propagation<br />

algorithm Figure (4) represents the MLP<br />

structure. For practical reasons, ANNs<br />

implementing the back propagation algorithm do<br />

not have too many layers, since the time for<br />

training the networks grows exponentially [12].<br />

Fig. (4): Structure of MLP<br />

The backpropagation algorithm is used in<br />

layered feed-forward ANNs. The artificial<br />

neurons are organized in layers, and send their<br />

signals “forward”, and then the errors are<br />

propagated backwards. The network receives<br />

inputs by neurons in the input layer, and the<br />

output of the network is given by the neurons on<br />

an output layer. There may be one or more


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

intermediate hidden layers. The backpropagation<br />

algorithm uses supervised learning, in which we<br />

provide the algorithm with examples of the<br />

inputs and outputs we want the network to<br />

compute, and then the error (difference between<br />

actual and expected results) is calculated. The<br />

idea of the backpropagation algorithm is to<br />

reduce this error, until the ANN learns the<br />

training data. The training begins with random<br />

weights, and the goal is to adjust them so that the<br />

error will be minimal. The activation function of<br />

the artificial neurons in ANNs implementing the<br />

backpropagation algorithm is a weighted sum<br />

(the sum of the inputs xi multiplied by their<br />

respective weights wji) [13]:<br />

A ( x,<br />

w)<br />

j<br />

n<br />

� �i�0 x w<br />

i<br />

ji<br />

� � � � � � �<br />

(<br />

8)<br />

We can see that the activation function<br />

depends only on the inputs and the weights. If<br />

the output function would be the identity (output<br />

= activation), then the neuron would be called<br />

linear. But these have severe limitations. The<br />

most common output function is the<br />

tansigmoidal function:<br />

2<br />

O j ( x,<br />

w)<br />

� �1�<br />

� � � � � � ( 9)<br />

�2 Aj<br />

( x,<br />

w)<br />

1�<br />

e<br />

It is clear that the output depends only in the<br />

activation function, which in turn depends on the<br />

values of the inputs and their respective weights.<br />

Now the goal of the training process is to obtain<br />

a desired output when certain inputs are given.<br />

Since the error is the difference between the<br />

actual and the desired output, the error depends<br />

on the weights, and we need to adjust the<br />

weights in order to minimize the error. We can<br />

define the error function for the output of each<br />

neuron:<br />

2<br />

E ( x,<br />

w,<br />

d)<br />

( O ( x,<br />

w)<br />

� d ) � � � � �(<br />

10)<br />

j<br />

� j<br />

j<br />

We take the square of the difference between<br />

the output and the desired target because it will<br />

be always positive, and because it will be greater<br />

if the difference is big and lesser if the difference<br />

is small. The error of the network will simply be<br />

the sum of the errors of all the neurons in the<br />

output layer:<br />

2<br />

E ( x,<br />

w,<br />

d)<br />

O ( x,<br />

w)<br />

� d ) � � � � � ( 11)<br />

� � j<br />

j<br />

The backpropagation algorithm now<br />

calculates how the error depends on the output,<br />

inputs, and weights. After we find this, we can<br />

j<br />

adjust the weights using the method of gradient<br />

descendent:<br />

�E<br />

�wji<br />

� ��<br />

� � � � � � � �(<br />

12)<br />

�w<br />

ji<br />

Where η is the learning rate which is a small<br />

positive number represents the step size we need<br />

to take for the next step. Equation (12) can be<br />

interpreted in the following way: the adjustment<br />

of each weight (Δwji) will be the negative of a<br />

constant (η) multiplied by the dependence of the<br />

previous weight on the error of the network,<br />

which is the derivative of error (E) in respect to<br />

Wji. Equation (12) is used until we find<br />

appropriate weights (the error is minimal). ANN<br />

model is used for estimating an appropriate<br />

firing angle in two cases (constant speed and<br />

constant torque operation), Tansigmoidal<br />

function is used as an activation function<br />

between the hidden layers and input to hidden<br />

layers.<br />

The proposed architecture of the neural<br />

network contains two hidden layers of<br />

tansigmoidal neurons and broadcasts their output<br />

to a layer of linear neurons which computes the<br />

network output. The back propagation training<br />

algorithm is used for feed forward neural<br />

networks. Levennerg Marguardt back<br />

propagation algorithm for feed forward neural<br />

networks is used as it’s much faster than<br />

standard back propagation algorithm. The<br />

training is achieved with Matlab simulation<br />

program which uses a given number of inputs –<br />

output examples patterns [13].<br />

THE PROPOSED CONTROL MODEL<br />

A control system is proposed by which a<br />

three phase WRIM can be controlled with the<br />

flexibility of control as constant DC current<br />

(torque) operation or constant speed operation, a<br />

neural network is involved in the model to<br />

estimate the proper firing angles for both modes<br />

of operation. By good training of the ANN,<br />

satisfactory results were obtained. In case of<br />

constant current operation, the input to the ANN<br />

is the slip, constant current and the output is the<br />

firing angle, but in case of constant speed<br />

operation the input to the ANN is the DC<br />

current, constant speed and the output is the<br />

firing angles. This firing angle is linked as an<br />

estimator to control converter circuit to adjust it.<br />

245


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

The motor speed and DC link current (or Te)<br />

are inputs to the MATLAB Neural Network<br />

model and the corresponding values of thyristor<br />

inverter firing angle (α) are calculated<br />

systematically. After normalization all data, The<br />

ANN model was implemented by software in the<br />

drive system program as shown in fig. (5). Both<br />

the reference speed (nref) and DC link current (Id)<br />

are inputs to the ANN model, which estimates<br />

the appropriate firing angle (α). A firing circuit<br />

generates pulses to the thyristors of the inverter<br />

with the corresponding requirement; the neural<br />

network program was run in several cases,<br />

constant speed operation and constant torque<br />

operation. The WRIM motor parameters and<br />

drive system are: 3 hp, 380/220 V, Y/ Δ, three<br />

phase, 50 Hz, 4 pole, n1 = 1.13, n2 = 2.06, 3.5/ 6<br />

A, stator resistance RS = 4.12 Ω, rotor resistance<br />

R / r = 3.2 Ω, mutual inductance Lm = 316<br />

mH, self inductance L / r= LS = 332 mH, J (for<br />

motor & load) = 0.06 kg.m 2 , B (viscous friction<br />

of motor & Load) = 0.05 kg.m 2 /sec.<br />

246<br />

SIMULATION RESULTS<br />

Experimental Data was used to train the<br />

ANN. The architecture of the ANN is selected<br />

after many trial and error and, it was concluded<br />

that for constant speed operation an ANN of two<br />

hidden layers of tansigmoidal activation function<br />

is the best and gives most accurate results, each<br />

hidden layer contains four neurons, but in case<br />

of constant current operation the best<br />

configuration of the ANN was two hidden layers<br />

each one contains three neurons with tansigmidal<br />

activation function. The Mean Absolute<br />

Percentage Error MAPE % is calculated<br />

according to the equation 13.<br />

MAPE<br />

1<br />

N<br />

N<br />

� �<br />

i�1 i<br />

Fig. (5): Modified Control System Diagram<br />

xi<br />

� yi<br />

( ) �100%<br />

� � � � � ( 13)<br />

x<br />

Where xi represents the actual value and Vi is<br />

ANN output. For Constant speed operation the<br />

MAPE fluctuates between 0.001973 at 750 rpm<br />

and 0.010626 at 1200 rpm, while for constant<br />

DC current operation it fluctuates between<br />

0.014944 at 5.4 A and 0.035245 at 2 A which is<br />

satisfactory. Figure (6) shows the variation of<br />

firing angle (α) of the inverter with DC link<br />

current (which is directly proportional to the<br />

electromagnetic torque) for actual value and<br />

ANN based model. The curves show that the<br />

designed ANN model is near to the actual values<br />

for different rotor speeds 1440 rpm, 1200 rpm<br />

and 1050 rpm. It is shown that when the load<br />

torque on the motor shaft is increased, the firing<br />

angle must be decreased to balance between<br />

them and keeping the rotor speed constant.<br />

Figure (7) shows the firing angle (α) of the<br />

inverter against the motor speed for different<br />

load torques (or DC link current) for actual value<br />

and ANN based model. The curves show that the<br />

designed ANN model is encouraging to satisfy<br />

the actual value for different load torque (I = 2<br />

A, 4 A and 5.4 A). Figure (7) shows that as the<br />

speed of the motor decreased the firing angle is<br />

increased to maintain the load torque at desired<br />

value.<br />

The system was tested for two different<br />

modes, variable speed drive and constant speed<br />

drive operation. Figure (8) illustrates the<br />

simulation results when the reference speed<br />

increased suddenly from 1050 rpm to 1350 rpm<br />

with constant torque of 14.5 N.m. It is obvious<br />

that increasing the reference speed decreases the<br />

firing angle of inverter bridge, which results in<br />

decreasing the rotor effective resistance and<br />

consequently increasing the motor<br />

electromagnetic torque during the acceleration<br />

period. Since the load torque is kept constant, an<br />

acceleration torque appears which results in<br />

accelerating the speed of the motor until it<br />

reaches the desired value. Figure (9) shows the<br />

simulation results for constant speed operation.<br />

The desired speed is kept constant at 1400 rpm,


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

while the load torque is changed directly from<br />

13.5 N.m to 5.6 N.m. It is noticed that the motor<br />

speed has increased by 3% at the instant of the<br />

Firing Angle α<br />

95<br />

94.5<br />

94<br />

93.5<br />

93<br />

92.5<br />

92<br />

91.5<br />

91<br />

90.5<br />

N=1440 rpm<br />

load decrease then it recovers to its desired<br />

value.<br />

Actual ANN<br />

90<br />

0.2 1.06 1.85 3.04 3.43 5.2<br />

I d (dc link Current) A<br />

Fig. (6): Firing angle against DC link current for different motor speeds<br />

247


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

248<br />

Firing Angle α<br />

Firing Angle α<br />

180<br />

160<br />

140<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

180<br />

160<br />

140<br />

120<br />

100<br />

Actual ANN<br />

Id=2 Amp<br />

0<br />

0.06 0.1 0.2 0.3 0.4 0.5<br />

80<br />

60<br />

40<br />

20<br />

Id=2 Amp<br />

S (Slip)<br />

Actual ANN<br />

0<br />

0.06 0.15 0.25 0.35 0.4 0.5<br />

S (Slip)<br />

Fig. (7): Firing angle against the slip at different DC link current


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

Fig. (8): Variable speed drive ANN based simulation results<br />

249


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

250<br />

Fig. (9): Constant Speed Drive ANN Based Simulation Results


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

CONCLUSION<br />

In this paper a novel method of adjusting the<br />

firing angle of the thyristor inverter of slip power<br />

recovery drive system has been investigated.<br />

This method depends on training two Neural<br />

Networks, one for adjusting the firing angle at<br />

constant speed operation and the other for<br />

constant torque operation. A practical data where<br />

used for training and testing these networks, the<br />

best design, layers and neurons in each layer<br />

were found by many trail and error testing<br />

through the Matlab simulation program. The<br />

data are electromagnetic torque and the rotor<br />

speed at different operation condition as an input<br />

and their corresponding firing angle of thyristor<br />

inverter as an output of the ANN model. The<br />

results of the comparison between the actual and<br />

ANN output were encouraging, for Constant<br />

speed operation the MAPE was between<br />

0.001973 and 0.010626, while for constant DC<br />

current operation it fluctuates between 0.014944<br />

and 0.035245. The performance and robustness<br />

of the proposed controllers have been evaluated<br />

under a variety of operating conditions of the<br />

drive systems and the results demonstrate the<br />

effectiveness of these control structures.<br />

REFERENCES<br />

- Kenshi, N. Hoshi, Nakagawa and Junpei H. (2000). A<br />

Compact Type Slip Power Recovery System with<br />

Sinusoidal Rotor Current for Large Pump / Fan<br />

drive. Power Electronics and Motion Control<br />

Conference, Proceeding of IPEMC, 2, (pp. 774-<br />

779).<br />

- Lavi, A. and Polge, R. J. (1996). Induction Motor Speed<br />

Control with Static Inverter in the Rotor. IEEE<br />

Trans. on Power Apparatus and System, 274-282.<br />

- Marques, G. D. (1996). Performance Evaluation of the<br />

Slip Power Recovery System with a DC Voltage<br />

Intermediate Circuit and LC filter on the Rotor.<br />

Industrial Electronics Conference, ISIE 96<br />

Proceeding of the IEEE. 2, (pp. 862-866).<br />

- Akpinar, E. and Fillay, P. (1990). Modeling and<br />

Performance of Slip Energy Recovery Induction<br />

Motor Drive. IEEE Trans. on Energy Conversion.<br />

5, (pp. 203-210)<br />

- Amr, M. and Amin, A. Neural Network-based Tracking<br />

Control System for Slip Power Energy Recovery<br />

Drive. IEEE Catalog Number 97Tlt8280, ISIE 97-<br />

Guimaraes, Portugal, (pp 1247-1252).<br />

- Tunyasrirut, S., Kanchanathep, A. Ngamwiwit, J., Furuya,<br />

T. (1999). Fuzzy Logic Control for Speed of WRIM<br />

with Slip Power Energy Recovery. SICE Mrioka, (<br />

pp 119-1203).<br />

- Mishra, A. K., Wahi, A K. (2004). Performance Analysis<br />

and Simulation of Inverter-fed Slip-Power<br />

Recovery Drive. IE (I) Journal-EL, 85, (pp 89-95).<br />

- Tunyasrirut, Satean and Ngamwiwit, Jngkol (2000).<br />

Adaptive Fuzzy-Neuro Controller for Speed of<br />

Wound Rotor Induction Motor with Slip Energy<br />

Recovery. Tencho proceedings, publisher country<br />

IEEE (MY) 3, (pp. 329-33).<br />

- Abdelfattah, M. Y. and Ahmed, M. M. (2002). An<br />

Artificial Neural Network-Based Chopper-<br />

Controlled Slip-Ring Induction Motor. IEEE<br />

MELECON, (pp. 142-146).<br />

[10] Sen, PC. and Ma, K. HJ. (1975). Rotor Chopper<br />

Control for Induction Motor Drive, TRC Strategy.<br />

IEEE Tran. on Industry Application, IA-11, (pp. 43-<br />

49).<br />

- Dubey, G. K. (2001). Power Semiconductor Controlled<br />

Drives. Alpha Science International Ltd, 2 nd ed.<br />

New Hersey: Prentice –Hall, Inc.<br />

- Basheer, I. A. and Hajmeer, M. (2000). Artificial Neural<br />

Networks: Fundamentals, Computing, Design, and<br />

Application. Journal of Microbiological Method,<br />

(pp. 3-31).<br />

- Fausett, L. (2000). Neural Networks Algorithms,<br />

Applications, and Programming Techniques. Person<br />

Education, Inc, 2 nd ed. New York.<br />

251


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 242-252, 2011<br />

252<br />

يزؤت ناهَييزااةبةب واسككيي يزااةهطوو يةولاوخ<br />

يزةهَيوصب ؤب كيتاتض ياناوت ةكطيلخ يةوةندناِزةط<br />

نااةدسكتضةد ةزاوةد يةناخ<br />

وةتطيض َوب نااةدسكتضةد يةناخ يِزؤت ةب تنضةب تصي ةب تااةد ىون اةياطَيِز ةل ساب يةوةهيرَيوت مةئ<br />

ةتخوي<br />

يةوةندناِزةط كيهاةت<br />

ناهَييزااةبةب يزااةنسطوو ىواسككيي يةولاووخ يزَوج يزةهَيوصب ياسَيخ ندسا َلَوترنوا<br />

. ةولاووخ ياناوت ةكطيلخ<br />

ندسازاا خَودوزاب سَيذ ةل ةوةزةككَيي يِزوض نااةزةتضوسياض َوب َنيَيلوةخةد نووبيي يةشَوط ةياطَيِز مةئ<br />

نةيلاةل ةولاووخ ياناوتةكطيلخ يؤيةب ةزةهَيوصب ةزَوج مةئ يزااةهطوو يسبةش وةولاووخ ياسَيخ<br />

يِزَوطةن يِزوض ناهَييزااةبةب ةووتاي تضةدةب ةوةتطيض مةئ نااةتةفيض و ندسا زااةو<br />

لووخ ةل تااةد ضيئ ةواسا زايهصيي ةوةتطيض مةئ<br />

. ادشاوايج<br />

. ةواسا َلوترنؤا<br />

ادةولاووخ<br />

. زةكشَولخد طاب نااةووتاي تضةدةب ةوانجةئ ةو ةوَيشواي<br />

و ندسكصيئ ناضائ ةوةتطيض مةئ ؤب ةكيهاةت مةئ يست نااةدووض ةو ةيين ياسَيخ يةوةندهَيوخةب تيطيويي ةو ادةواسا<br />

. ادشاوايج ندسكصيئ خؤدوزاب سَيذةل ةوةتيض مةئ ؤب ةوةتةنواسكنووز ةنايزةطيزاا مةئ و شزةب يدزوو<br />

ةيعانصلا ةيبصعلا ايلاخلا ةكبش مادختساب فوفلملا راودلا كرحمل نكاسلا ةيقلازنلاا ةردقلا عاجرتسا<br />

كرحملا ةعرسب مكحتلا ةموظنمل ةيعانصلا ةيبصعلا ايلاخلا ةكبش ىلع دامتعلااب ةثيدح ةقيرط ثحبلا اذه لوانتي<br />

ةصلاخلا<br />

تاروتسرياثلل ةبسانملا حدقلا ايوز ةقيرطلا هذه نمخت . ةيقلازنلاا ةردقلا عاجرا ةينقت مادختساب فوفلملا راودلا ىذ ىثحلا<br />

كرحملا اذهل ىسيطانغمورهكلا مزعلا وا ةعرسلا طبض متي<br />

ةرئادلا مادختساب مكحتلا ةموظنمل ءادلاا صئاصخ ىلع لوصحلا مت<br />

لاف اذل ةحوتفم<br />

ةراد ىف لمعي حرتقلا رطيسملا<br />

. ةفلتخم<br />

لمع فورظ تحت سكاعلا ةرئاد ىف ةدوجوملا<br />

. راودلا فرط ىف ةيقلازنلاا ةردقلا ىلع ةرطيسلاب<br />

. ةدعاوو ةيضرم تناك ةلصحتسملا جئاتنلاو ةطيسبلا ةرمتسملا ةئفاكملا<br />

حيضوت مت امك.<br />

ةيلاعلا ةقدلا و نيوكتلا ةطاسب ىه رطيسملا اذهل ىرخلاا تازيمملا نم و ةعرسلا تاساسح ىلا جاتحن<br />

.<br />

ةفلتخملا ليغشتلا فورظ تحت رطيسملا اذه ةيلاعف


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 253-259, 2011<br />

LOWER BOUND OF T-BLOCKING SETS IN PG(2, q ) AND EXISTENCE<br />

OF MINIMAL BLOCKING SETS OF SIZE 16 AND 17 IN PG(2,9) *<br />

ABSTRACT<br />

ABDUL KHALIK L. YASSEN * and CHINAR A. AHAMED **<br />

* Dept. of Math., College of Science, University of Mosul, Mosul -Iraq<br />

** Dept. of Math., Faculty of Science, University of Zakho, Kurdistan Region-Iraq<br />

(Received: November 16, 2010; Accepted for publication: August 14, 2011)<br />

In this paper we introduce the projective plane PG(2, q), q square the lower bound of 5 – blocking set when q ><br />

25 and q = 16. Then we improved the lower bound of 5 – blocking set when q � 10.<br />

Also we find the lower bound of a<br />

6 -blocking set when q > 36 and q = 16. Specially in projective plane PG(2, 9), we show that the minimal blocking set<br />

of size 16 with a 6 – secant and the minimal blocking set of size 16 of Rédei-type are exists and we classify the minimal<br />

blocking sets of size 17.<br />

KEYWORDS: blocking set, minimal blocking set, n-arc, Projective plane, affine plane.<br />

I<br />

1. INTRODUCTION<br />

n a finite projective plane of order q, a t-<br />

blocking set is a set of points such that<br />

each line contains at least t points of B and some<br />

lines contains exactly t points of B. A t –<br />

blocking set B is minimal or irreducible when no<br />

proper subset of it is a t – blocking set. In<br />

particular when t = 1 then B is called a blocking<br />

set.The name blocking set was originated in<br />

Game Theory, Richardson [6] was the first one<br />

to look at larger planes, he showed that the<br />

minimal size of a blocking set in PG( 2,3) is 6,<br />

and noted that Baer sub planes are examples of<br />

blocking sets of size q � q �1in<br />

projective<br />

planes of square order. Di Paola [4] introduced<br />

the idea of a projective triangle , which give an<br />

example of a blocking sets of size 3(q+1)/2 in<br />

Desargusian planes of odd order. That projective<br />

planes exist in these planes was shown by Bruen<br />

who also obtained the general lower bound<br />

q � q �1for<br />

the size of a blocking set in<br />

projective plane of odd order q . Bruen [3] gave<br />

the upper bound q q �1<br />

for a minimal<br />

blocking set in any projective plane of order q,<br />

and make the connection with Rédei's work on<br />

lacunary polynomials and small blocking sets in<br />

Desargusian planes.<br />

Specially in the projective plane PG(2, 9):<br />

First: We show that the minimal blocking set<br />

of size 16 with a 6 – secant and the minimal<br />

blocking set of size 16 of Rédei-type exists.<br />

Second: We classify the minimal blocking<br />

sets of size 17.<br />

* This paper is based on M.Sc Thesis of the second author.<br />

2. PRELIMINARIES<br />

This Section briefly summarizes some of the<br />

basic notions concerning projective spaces and tblocking<br />

sets. We begin by the following<br />

definitions . A finite filed, is a field with a finite<br />

number of elements. A field E is an extension of<br />

a field F if there is an injective ring<br />

homomorphism from F into E.A non constant<br />

polynomial f(x) is an irreducible polynomial in<br />

F[x] if f(x) cannot be expressed in F[x] as a<br />

product g(x) . h(x) of non constant of each of<br />

degree less than the degree of f(x) .Let GF(p) =<br />

Z / pZ Zp, p prime number, and let f(x) be an<br />

irreducible polynomial<br />

GF(p),then<br />

of degree h over<br />

h<br />

GF(p ) �GF(p)[x]/ (F(x)) �<br />

h�1 � i<br />

�<br />

��aiλ :a i�GF(p);F(λ)<br />

�0�<br />

i�0 � �<br />

is called a Galois Field of order q ; q=p h .<br />

The elements of GF(q) satisfy the equation x q =<br />

x, and there exist λ in GF(q)={0,1,�,� 2 ,… ,� q-2 }.<br />

A (k,n) –arc K in PG(2,q) is a set of k points<br />

such that there is some n points but no n+1points<br />

are collinear . A t – blocking set B in a projective<br />

plane PG(2, q) is a set of points such that each<br />

line in PG(2, q) contains at least t points of B<br />

and some line contains exactly t points of B.<br />

A t-blocking set is trivial when it contains a<br />

line of PG(2,q). Specially If t=1, then B is called<br />

blocking set. If t=2, then B is called Double<br />

Blocking set. A t – blocking set B is minimal or<br />

irreducible when no proper sub set of it is a t –<br />

blocking set. A t-blocking set B of size b is<br />

small if b < t q + (q+3)/2.<br />

253


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 253-259, 2011<br />

Theorem 2.1[1]. Let B be t- blocking set in a<br />

projective plane PG(2,q) , p > 3 where p is<br />

prime then :<br />

1 . if t � (p�1)/2, then (2t �1)<br />

(p �1)<br />

B �<br />

2<br />

2. if t � (p+1)/2, then B � ( t �1)<br />

p , B is the<br />

number of the points of B.<br />

Theorem 2.2[1]. Let B be t- blocking set in a<br />

projective plane PG(2,q), then :<br />

q�1<br />

1. 2<br />

�r �q<br />

� q �1,<br />

254<br />

i<br />

i�0<br />

q 1<br />

2. � �<br />

i�1<br />

q 1<br />

i�2<br />

q 1<br />

i r �b(<br />

q �1)<br />

,<br />

i<br />

�<br />

3. �i ( i �1)<br />

r �b<br />

( b �1)<br />

,<br />

�<br />

4.<br />

� � v<br />

i�1<br />

q�1<br />

5. �<br />

i�2<br />

q<br />

6. ��<br />

7. ��<br />

i q<br />

i<br />

�1,<br />

,<br />

( i �1)<br />

vi<br />

�b<br />

�1<br />

u �q<br />

�1<br />

,<br />

i<br />

i 0<br />

q<br />

iui<br />

i 1<br />

�b<br />

.<br />

where b : the number of the points of B.<br />

r i : the total number of i-secant of B, and isecant<br />

is the line of PG(2,9) that intersect B in i<br />

points.<br />

v i : the total number of i-secant through a point<br />

p of B.<br />

u i : the total number of i-secant through a point<br />

q of PG(2, q)\B.<br />

Theorem 2.3[4]. Let B be a t-blocking set B in<br />

PG(2,q), where t 3,q= p 2d ,then<br />

B � t(<br />

q � q �1)<br />

.<br />

Theorem2.4[2]. Let B be a t-blocking set B in<br />

PG(2,q),where<br />

�1/<br />

3 1/<br />

6 1/<br />

4<br />

t � min( 2 q , q / 2)<br />

, if q = p 2d ,p<br />

= 2,3, d � 2,then B � t(<br />

q � q �1)<br />

.<br />

Theorem 2.5[2]. Let B be a t-blocking set in<br />

PG(2,q), and B contains no line, then<br />

B � tq<br />

� tq<br />

�1.<br />

Definition 2.6[5]. A unital in PG(2,q) is a set U<br />

of q q �1points, that every line joining two<br />

points of U intersect U in precisely q � 1.<br />

Theorem 2.7[4]. Let B be a minimal blocking<br />

set in PG(2,q). Then B �q<br />

q �1with<br />

equality if and only if B is a unital in PG(2,q), q<br />

is square .<br />

Theorem 2.8[5]. Let B be a minimal blocking<br />

set in PG(2,q). If q=p is a prime then �B ��<br />

(3p+1)/2.<br />

3. Lower Bounds of 5-Blocking and 6-Blocking<br />

Sets in a projective Plane PG(2,q) , where q<br />

is a square.<br />

In this section we find in the projective plane<br />

PG(2, q), q square the lower bound of 5 –<br />

blocking set when q > 25 and q = 16. Then we<br />

improved the lower bound of 5 – blocking set<br />

when q � 10 . Also we find the lower bound of<br />

a 6 – blocking set when q > 36 and q = 16.<br />

Theorem 3.1. Let B be a 5-blocking set in<br />

PG(2,q), such that through each of its points<br />

there are q �1<br />

lines, containing at least<br />

q � 5points<br />

of B and forming a dual Baer sub<br />

line :<br />

1. For q>25, B has at least<br />

5q � 2 q � 5points.<br />

2. For q = 16, B has at least<br />

5q � q �8<br />

points.<br />

Proof1. Call the lines meeting B in q � 5 or<br />

more points basic lines .If two basic lines meet<br />

outside of B, then B has at<br />

least:<br />

2( q � 5)<br />

� 5(<br />

q �1)<br />

� 5q<br />

� 2 q � 5 poi<br />

nts and the desired bound is obtained . So<br />

assume that two basic line meet in B. Take � , a<br />

basic line and P a point of B not on � . Then the<br />

basic line through P contain a dual Baer sub line<br />

meet � in a Baer sub line. Let Q be a point on<br />

this Baer sub line . Consider basic lines through<br />

a point on a 5-secant to Q these meet � in a<br />

another Baer sub line not containing Q. Two<br />

Baer sub lines meet in at most two points and so<br />

� has at least 2 q points. Since � was<br />

arbitrary, every basic line has at least<br />

2 q points and it follow that B has at least<br />

1� ( q �1)(<br />

2 q �1)<br />

� 4(<br />

q � q)<br />

� 6q<br />

�3<br />

q.<br />

But<br />

6q � 3 q � 5q<br />

� 2 q � 5for<br />

q �25<br />

so<br />

B �5q � 2 q � 5.□<br />

Proof2. If two long lines meet outside of B ,<br />

then B has at least


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 253-259, 2011<br />

2 ( q � 5)<br />

� 5(<br />

q �1)<br />

� 5q<br />

� 2 q � 5<br />

points. Let P � B , through B, since there are<br />

q �1<br />

long lines through P. B has at least<br />

( q �1)( q � 4) �1� 4( q �1 � ( q �1)) �<br />

5q � q �5<br />

points. Now if B �89<br />

then ( k,12)-arc has 184<br />

points and it is impossible.<br />

If B �5q � q � 6 then k = 183, it is<br />

impossible . If B �5q � q � 7 ,then k<br />

=182, and it is impossible. Since k �� 181, hence<br />

B �5q � q � 8.□<br />

The next theorem is an improvement to the<br />

lower bound of 5-blocking set in PG(2,q)<br />

when q �10<br />

.<br />

Theorem 3.2. Let B be a 5-blocking set in<br />

PG(2,q), having through every point at least<br />

q �1<br />

lines, containing at least<br />

q � 5 points of B and forming a dual Baer<br />

sub line. Then B has at least<br />

5q � 3 q � 5 points.<br />

Proof . Assume that B has at least<br />

5q � 3 q � 5 points. Call the lines meeting B<br />

in q � 5 or more points long lines. Take 15<br />

points of B, all lying on a long line � . there are<br />

at least 15 q( q � 4)<br />

points of B\ � lying on<br />

the long lines through these 15 points. Since<br />

B\ � has more than 5q � 2 q points .There<br />

exist more than<br />

15 q( q � 4)<br />

� 3(<br />

5q<br />

� 2 q)<br />

� 54 q<br />

points on four or more of the long lines through<br />

these 15 points counting with multiplicity .Let Pi<br />

be a point of B\ � joined to at least four of these<br />

15 points of � by long lines . Let Si be the points<br />

of � at which the long lines through Pi meet � .<br />

The set Si has at most q � 2 points otherwise Pi<br />

lies on at least q � 3 long lines and B has at<br />

least1+( q +3)( q +4)+4(q- q -<br />

2)=5q+3 q +5 points also Si contains a Baer<br />

sub line bi by hypothesis .Since there exist<br />

54 q points of B\ � [B\ � is the set of all points<br />

of B without points of the line � ] meeting at<br />

least four of the 15 points there exist<br />

54 q points the corresponding bi of which<br />

meet at least three of the 15 points. There are<br />

455 different sets of three points among these 15<br />

points and so there are points P1 and P2<br />

corresponding b1 and b2 of which meet in at least<br />

three points. Since two Baer sub line meeting at<br />

least two points b1 and b2are the same. If three<br />

long lines meet in a point outside of B, then B<br />

has at least<br />

3( q � 5)<br />

� 5(<br />

q � 2)<br />

� 5q<br />

� 3 q � 5<br />

points . So at most two long lines meet in a point<br />

outside of B. This implies that the long lines<br />

through P1 and P2 meet � in at most one point<br />

outside of B and that point lies on the long line<br />

joining P1 and P2 .<br />

Let S be the set of points of � � B at which<br />

b1 = b2 meet � � B then S has q or<br />

q �1<br />

points .We shall now prove that � has<br />

at least q � 7 points. Assume, firstly that it<br />

has less than q � 7 points. Let T be the set of<br />

points in B\ � that lie on a non-long line meeting<br />

S. By considering the points on non – long lines<br />

through a point of S, it follows that there are at<br />

least 4( q � q �1)<br />

points in T.<br />

Suppose that � has exactly q � 5 points of B.<br />

the long lines through a point of T can meet at<br />

most two points of S and so at most seven points<br />

of � � B. This follows from the fact that two<br />

different Baer sub lines meet in at most two<br />

points. Let n be maximal such that n points of T<br />

are collinear. Each point of B lies on at least<br />

q �1<br />

long lines and so each point of T has at<br />

least q � 6 long lines meeting � \B. There<br />

are q �1 � ( q � 5)<br />

points in � \B and so<br />

n ( q � 6)<br />

�q<br />

� q � 4 , which implies that<br />

n� q � 6 for q �19<br />

.<br />

Now , since every point of T has at least<br />

q � 6 long lines meeting � outside B and at<br />

most<br />

that<br />

q � 6 of them are collinear , it follow<br />

4( q � q �1)<br />

q � 6<br />

�q<br />

�<br />

q � 6<br />

q � 4 �q<br />

� q �1<br />

for q �10<br />

, since � was arbitrary , every long<br />

line contains at least q � 6 points of B .Now<br />

255


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 253-259, 2011<br />

if<br />

then<br />

q � 2of<br />

these long lines meet in a point<br />

B �1 � ( q � 2)( q � 5) � 4( q � q �1) �<br />

5q �3q �7<br />

So assume that every point of B lies on exactly<br />

q �1<br />

long lines. Let � be a line meeting<br />

exactly q � 6 points of B. Define S, T and n<br />

as before. n(<br />

q � 6)<br />

�q<br />

� q � 4as<br />

before,<br />

4( q � q �1)<br />

q � 6<br />

�q<br />

�<br />

q � 6<br />

q � 5 �q<br />

� q �1<br />

For q �10<br />

, since � was arbitrary , it has<br />

shown that every long line has at<br />

least q � 7 points . By counting the points of<br />

B on lines through a point of B. It follow that<br />

B �1� ( q �1)(<br />

q � 6)<br />

� 4(<br />

q � q)<br />

� 5q<br />

�3<br />

q � 7<br />

and the result follows . □<br />

Theorem 3.3.[6]. Let B be a 6-blocking set in<br />

PG(2,q) such that through each of it is points<br />

there are q �1<br />

lines , containing at least<br />

q � 6 points of B and forming a dual Baer<br />

sub line :<br />

1. For q �36<br />

, B has at least 6q � 2<br />

points.<br />

q � 6<br />

2. For q = 16, B has at least<br />

6q � q �<br />

256<br />

9points<br />

.<br />

4.The Minimal Blocking set of size 16 in a<br />

projective plane PG(2,9).<br />

Let B be a minimal blocking set of size 16 in<br />

PG(2,9)<br />

Theorem 4.1.[1].Let V be a vector space of<br />

dimension n over a finite field GF(q) , then any<br />

sub set of V intersect every prime of V contain<br />

at least n(q – 1)+1of points .<br />

Theorem 4.2. Any point of B lies on at least<br />

three tangents.<br />

Proof .Let P and let � be a tangent line to B<br />

at P. Consider PG(2,9)\ � and call this AG(2,9).<br />

Then a set B\ � of size 15 remains. A minimal<br />

blocking set in AG(2,9) contains at least 17<br />

points [3]. This means that we have to add at<br />

least two points to B\ � to get a blocking set in<br />

AG(2,9). The external lines to B\ � in AG(2,9)<br />

are the tangent to B at P, different from � .<br />

Hence P lies on at least three tangents to B. □<br />

Lemma 4.3 Gács [1]. In PG(2,q) , let B be a<br />

minimal blocking set of size q +k , and suppose<br />

there is a line L intersecting B in exactly k-1<br />

points. Then there is a point O � B such that<br />

every line joining O to a point of L\B contains<br />

two points of B . Hence k � ( q � 3)<br />

\ 2.<br />

The following theorem proves the existence of<br />

minimal Blocking sets of size 16 in PG(2,9) .<br />

Theorem 4.4.There is a minimal blocking set of<br />

size 16 in PG(2,9) having 6-secant.<br />

Proof . Let (x,y,z) denote the coordinates of a<br />

projective point. Let � be a 6-secant . Let � be<br />

the line at infinity of the corresponding affine<br />

plane [If � n�1<br />

is any prime in PG(2,9), then the<br />

affine plane AG(2,9) = PG(2,9)\ � n�1<br />

], and let<br />

� B�{<br />

P , P , P , P } . By lemma 4.3 , there is<br />

\ 1 2 3 4<br />

an affine point for which the lines O Pi ,<br />

i= 1,2,3,4, are bisecant. These lines contain eight<br />

affine points of B. Let U1 and U2 are the 9 th and<br />

10 th affine points .Since the points Pi lie on one<br />

2-secant and eight tangents , the lines U1Pi are<br />

tangents for i= 1, 2, 3 ,4. Furthermore , the line<br />

OU1 is a line passing through the point<br />

(1,1,0).We select the reference system in the<br />

following way. Let P1 = (0, 1, 0), P2 = (1, 0, 0),<br />

P3 = (1, 2� 3 , 0) , with � 2 = � + 1. Since the sub<br />

group of PGL(2,9) [PGL(2,9) is the set of all<br />

projectivities of PG(1, 9)] stabilizing {P1, P2,<br />

P3}, acts transitively on the seven other points of<br />

� , let OU1 pass through ( 1, 1 ,0) . We will set<br />

P4 = (1, � 3 , 0) . Let O = (0,0,1). Using the<br />

perspectivities with axis � and center O,we can<br />

assume that U1 = (1, 1, 1).<br />

Consider now the affine plane PG(2, 9)\ � . Let<br />

B' = B\(� � �{U1, U2}). Then two points of B' lie<br />

on the line X = 0, and two points lie on the line<br />

Y = 0, and two on the line Y = 2� 3 X , and two<br />

on the line Y = � 3 X .Since these are the lines O i<br />

, i= 1,2,3,4. Moreover , on every horizontal line<br />

Y =k , and on vertical line X = k ,and on every<br />

line Y = 2� 3 X + k and Y = � 3 X + k , with k �<br />

0there is one point on B . In piratical on the lines<br />

X= 1, y = 1, Y = 2� 3 X + 2� 2 ,Y = 2� 3 X +<br />

2� 2 ,Y=X which all pass through U1 there are no<br />

points of B'.this cancels a lot of points of AG<br />

(2,9).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 253-259, 2011<br />

(0, 0) (0, 1) (0, 2) (0, �) (0, 2�) (0, � 2 ) (0, 2� 2 ) (0, � 3 ) (0, 2� 3 )<br />

(1, 0) (1, 1) (1, 2) (1, �) (1, 2�) (1, � 2 ) (1, 2� 2 ) (1, � 3 ) (1, 2� 3 )<br />

(2, 0) (2, 1) (2, 2) (2, �) (2, 2�) (2, � 2 ) (2, 2� 2 ) (2, � 3 ) (2, 2� 3 )<br />

(�, 0) (�, 1) (�, 2) (�, �) (�, 2�) (�, � 2 ) (�, 2� 2 ) (�, � 3 ) (�, 2� 3 )<br />

(2�,0) (2�, 1) (2�,2) (2�,�) (2�, 2�) (2�,� 2 ) (2�, 2� 2 ) (2�,� 3 ) (2�, 2� 3 )<br />

(� 2 , 0) (� 2 , 1) (� 2 ,2) (� 2 ,�) (� 2 , 2�) (� 2 ,� 2 ) (� 2 , 2� 2 ) (� 2 ,� 3 ) (� 2 , 2� 3 )<br />

(2� 2 ,0) (2� 2 ,1) (2� 2 ,2) (2� 2 ,�) (2� 2 ,2�) (2� 2 ,� 2 ) (2� 2 ,2� 2 ) (2� 2 ,� 3 ) (2� 2 ,2� 3 )<br />

(� 3 , 0) (� 3 , 1) (� 3 , 2) (� 3 , �) (� 3 , 2�) (� 3 , � 2 ) (� 3 , 2� 2 ) (� 3 , � 3 ) (� 3 , 2� 3 )<br />

(2� 3 ,0) (2� 3 ,1) (2� 3 ,2) (2� 3 ,�) (2� 3 ,2�) (2� 3 ,� 2 ) (2� 3 ,2� 2 ) (2� 3 ,� 3 ) (2� 3 ,2� 3 )<br />

On Y = 2� 3 Xwe need to select two points from<br />

the set:<br />

2 3 2 3 2 3<br />

� �{(2�,<br />

2), (λ , λ), (λ , λ ), (2λ , 2λ ), (2, λ )}<br />

1<br />

These points with the six points of B � � :<br />

2<br />

{(1,1,0),(1,2,0),(1, �,0),(1,2 �,0),(1, � ,0),<br />

On Y = � 3 X we need to select two points from<br />

the set:<br />

3<br />

2<br />

2 3 2<br />

� 2 �{(2,<br />

2�<br />

), ( �,<br />

2), (λ ,2λ<br />

), (2λ , λ ), ( � , 2λ<br />

)}<br />

On X = 0 we need to select two points from the<br />

set:<br />

{(0, 2), (0, 2λ),<br />

(0, λ<br />

2<br />

), (0, λ<br />

3<br />

), ( 0, 2λ<br />

3<br />

)}.<br />

3 � �<br />

We also need to select two points on the line Y<br />

=0 to be in B 'this gives the following ten<br />

possibilities:<br />

1. (�, 0)<br />

and ( 2�<br />

, 0)<br />

. This choice<br />

eliminates ( 2�,<br />

2)<br />

of � 1and (�, 2)<br />

of � 2.<br />

Since we cannot have two points of B' on the<br />

same horizontal line different from the first line .<br />

On Y = � 3 X+1, Y = � 3 X+2, Y = 2� 3 X+1, Y =<br />

2� 3 X+2, the two lines through P3, P4 and (λ,0) ,<br />

(2λ,0) , we cannot select any other point of B'<br />

since lines must be tangents to B .This<br />

eliminates two other points (2λ,2) of � 1 and<br />

(λ,0)of � 2 and (0,2) from � 3 . Hence this choice<br />

give us the points (λ,0) , (2λ,0) and the points<br />

(� 3 , � 2 ), (2� 3 , 2� 2 ) , (� 2 , �) , (2, � 3 ) from 1 � and<br />

(� 3 , 2� 2 ), (2� 2 , �),(� 2 , 2�), (2, 2� 3 ) from � 2 and<br />

(0, 2�) ,(0, � 2 ),(0, � 3 ), (0, 2� 3 ) from � 3 . If we<br />

choose two points from Y =0 and two points<br />

from � 1 and two points from � 2 and two points<br />

from � 3 . We will have 216 possibilities for<br />

eight point of B'. So we choose (λ,0) , (2λ,0)<br />

from Y=0 and (� 3 , � 2 ), (2� 3 , 2� 2 ) from � 1 and<br />

(2� 2 , �),(� 2 , 2�) from � 2 and (0, � 3 ) , (0, 2� 3 2<br />

(1,2 � ,0)} with the point U1 = (1, 1, 1),this<br />

give us 15 points of B and with the point U2 =<br />

(1, 1, 2) ,we have a minimal blocking set of size<br />

16 having 6-secant. □<br />

Definition4.5. An elation of PG(2,q) is an<br />

automorphism that fixes all points on a line � ,<br />

and that fixes all lines through a certain point P<br />

of � is called the axis of the elation, and the<br />

point P is the center of the elation .<br />

The order of an elation � of PG(2,q), q=p<br />

)<br />

from � 3 .To be eight affine points from B'. Since<br />

theses points are affine we change these points<br />

to the projective points:<br />

3 3 3 2<br />

{(0, � ,1),(0,2 � ,1),( �,0,1),(2 �,0,1),( � , � ,1),<br />

3 2 2 2<br />

(2 � ,2 � ,1),( � ,2 �,1),(2 � , � .1)}<br />

h , p<br />

prime, is equal to the prime p.<br />

Theorem4.6. There is minimal blocking 16-set<br />

of Re'dei – type in PG(2,9).<br />

Proof . Let ( x, y , z) denote the coordinates of a<br />

projective point Let � : Z = 0 be the Re'dei- Line<br />

and let Pi = (xi, yi, 1) �� (xi, yi), i= 1,2,…,9 , be<br />

the affine points of the blocking set B .<br />

Let A = ( 0,1,0) , B = ( 1,0,0) and C = ( 1,2,0) be<br />

the three points of � \ B . Since all affine line<br />

X = aZ through A and Y = bZ through B contain<br />

exactly one affine point of the blocking set, we<br />

have xi � xj , yi � yj if i � j. Since C does not<br />

belong to B, all affine lines X + Y + aZ = 0<br />

contain exactly one point (xi, yi, 1) of B, So all<br />

the sum xi + yi = a , are different so for every a<br />

in GF(9) , there is one solution xi + yi = ��a , So<br />

xi + yi � xj + yj , if i � j. These three condition<br />

will be used in the search for minimal blocking<br />

set of Re ' dei-type of size 16 .We now select the<br />

first three affine points. Suppose the 9 points of<br />

B\ � from a 9-arc, since they only lie on tangents<br />

to B \ � but a 9-arc in PG(2,9), consists of 9<br />

point conic so can only be extended by the tenth<br />

point of this conic to a 10-arc in one way. So<br />

there are at least three collinear points in B\ � .<br />

The line containing these collinear points<br />

intersects � in a point of B. We can assume that<br />

(0,0,1) lies in the blocking set B'. We can again<br />

assume that at least three of the nine remaining<br />

points of the blocking set ( not lying on Z=0) are<br />

257


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 253-259, 2011<br />

collinear. Assume that such a line contains at<br />

least three of those collinear points passes<br />

through (0,0,1). They are collinear with one of<br />

the points on Z=0 different from (1,0,0), (0,1,0),<br />

(1,2,0). We can assume that they are collinear<br />

with a point Since the subgroup fixing {A1, A2,<br />

A3} contain at most six elelment which is the<br />

group � S3 where :<br />

T1: (x, y, z) � (y + z, x + 2z, 0)<br />

T2: (x, y, z) � (2y + z, x +y, 0)<br />

This give us two elations the first one contain<br />

the set of points:<br />

2 2 3<br />

{(1, �,0),(1,2 �,0),(1, � ,0),(1,2 � ,0),(1, � ,0),<br />

3<br />

(1,2 � ,0)} and the second one contain the set<br />

� 1,<br />

1,<br />

0)<br />

�<br />

( . We choose the point (1,�,0) from first<br />

elation and we assume that this point lie on the<br />

same line that the three points lie on it with the<br />

point (0,0,1). Now let P1 = (0,0). Using<br />

perceptivities with axis � and center P1, we can<br />

set P2 = (1,�) also using percepectivities with<br />

axis � and center P2 we can set P3 = (2, 2�) .<br />

Using the elation:<br />

� : (x, y, z) � (x + z, y + �z, z) with axis � and<br />

center (1,�, 0)which interchanges P1, P2, P3. It<br />

also interchanges (�,� 2 ), (� 2 , � 3 ), (2� 3 , 1) and<br />

interchanges the points (2�,2� 2 ), (� 3 , 2), (2� 2 ,<br />

2� 3 ).Now we assume that the points P1, P2, P3<br />

B', and P4 � {(�,� 2 ), (2�, 2� 2 )}. First we choose<br />

P4 = (�,� 2 ) and it is similar in the case of P4 =<br />

(2�,2� 2 ) .The criteria for selecting a next point<br />

Pi = (xi, yi), i= 5,…, 9 to be points of B' is that :<br />

1. xi � {x1, … , xi�1}<br />

2. yi � {y1, … , yi�1}<br />

3. xi + yi � {x1 + y1, … , xi�1 + yi�1}.<br />

We choose the points P1, P2, P3, P4 in B' then<br />

xi: 0, 1, 2, �and yi :0, �,2�,� 2 , xi + yi: 0, � 2 , 2� 2 ,<br />

� 3 .For the point P5=(2�,y5) we have y5�{1, 2,<br />

2� 2 , � 3 , 2� 3 },and 2� + y5� {� 3 , 2� 2 , 2� 3 , � 2 , 2}<br />

and by the three condition we have either P5 =<br />

(2�, 2� 2 ) or P5 = (2�, 2� 3 ) . we choose<br />

P5=(2�,2� 3 ) then xi : 0, 1, 2, �, 2� and yi:<br />

0, �,2�,� 2 , 2� 3 and xi + yi: 0, � 2 , 2� 2 , � 3 , 2.<br />

For the point P6 = (� 2 , y6) we have y6 � {1, 2,<br />

258<br />

2� 2 , � 3 } and � 2 + y6�{2� 3 , �, 0, 2}by the three<br />

condition we have two possibility for P6 which<br />

are P6 = (� 2 , 1) and P6 = (� 2 , 2) we choose P6 =<br />

(� 2 , 2) then the used xi are 0, 1, 2, �, 2�, � 2 and<br />

the used yi are 0, �,2�,� 2 , 2� 3 ,2 and the used xi +<br />

yi are 0, � 2 , 2� 2 , � 3 , 2, � , for the point P7 =<br />

(2� 2 , y7) we have y7 � {1, 2� 2 , � 3 }and 2� 2 + y7<br />

� {2�, � 2 , �},by the three condition we have<br />

only one possibility for P7 which is P7 = (2� 2 ,<br />

1).If we take P7 = (2� 2 , 1) then xi are 0, 1, 2, �,<br />

2�, � 2 ,2 � 2 and the used yi are 0, �,2�,� 2 ,<br />

2� 3 ,2,1and the used xi + yi are 0, � 2 , 2� 2 , � 3 , 2,<br />

�,2� . For the point P8 = (� 3 , y8) we have<br />

y8�{2� 2 , � 3 }and � 3 + y8�{�, 2� 3 }by the<br />

three condition we have only one possibility for<br />

P8 which is P8 = (� 3 , � 3 ) . If we take P8 = (� 3 , � 3 )<br />

then the used xi are 0, 1, 2, �, 2�, � 2 ,2 � 2 , � 3 and<br />

the used yi are 0, �,2�,� 2 , 2� 3 ,2,1,� 3 ,and the used<br />

xi + yi are 0, � 2 , 2� 2 , � 3 , 2, �,2�,2� 3 .By the three<br />

condition we have only one possibility for P9<br />

which is P9 = (2� 3 , 2� 2 ) . So the used xi are 0, 1,<br />

2, �, 2�, � 2 ,2 � 2 , � 3 ,and the used yi are 0,<br />

�,2�,� 2 , 2� 3 ,2,1,� 3 ,and the used xi + yi are 0, � 2 ,<br />

2� 2 , � 3 , 2, 2� 3 . Hence we get to the nine affine<br />

points: P1 = (0, 0), P2 = (1, �), P3 = (2, 2�), P4 =<br />

(�, � 2 ),<br />

P5 = (2�, 2� 3 ), P6 = (� 2 , 2), P7 = (2� 2 , 1), P8 =<br />

(� 3 , � 3 ), P9 = (2� 3 , 2� 2 ) .<br />

These points together with seven points of<br />

B � � give us a minimal blocking 16-set of<br />

Re'dei – type in PG(2,9).□<br />

REFERENCES<br />

- J. Barát and S. Innamorati ,Largest minimal blocking sets<br />

in PG(2, 8), J. Combin. Designs. (2003), 11: 162-<br />

169.<br />

- A. Blokhuis ,Note on the size of a blocking set in PG(2,<br />

p), Combinatorica. 14, (1994), 111-114.<br />

- A.A. Bruen, Arcs and multiple blocking sets,<br />

Combinatorica, Symposia, Mathematic 28,<br />

Academic Press, (1986),15-29.<br />

- J. Di Paola,On minimum blocking coalitions in small<br />

projective plane games, SIAM J. Appl. Math., 17,<br />

(1969), 378-392.<br />

- J.W.P.Hirschfeld,Projective Geometries over Finite<br />

Fields Oxford University Press, Oxford, (1979).<br />

- M. Richardson, On finite projective games, Proc. Amer.<br />

Math. Soc., 7, (1956), 458-465.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 253-259, 2011<br />

َىمةد ىرك كؤمب-5<br />

نَيرونس<br />

ةم اسةورةه<br />

انووبةه اد<br />

ىطاقسا<br />

اموك ؤب ىرَيذ نَيرونس ،راجوود<br />

.<br />

q �10<br />

q<br />

َىمةد ىرك كؤمب-5<br />

َىتخةتور د نركرايد ةم د ىتةبيات ب<br />

،<br />

PG(2, q)<br />

اد ىطاقسا َىتخةتور د ةم ،ادَىنيلوكةظ َىظد<br />

ذ ىرَيذ نَيرونس اد فيود ل<br />

. q=16<br />

Redei َىروج ذ 66 َىرابةق ذ ىرك كؤمب اموك نيتركوضب و رةرب-6<br />

ةيييجيلاقلا ةييع ي ي ل ىييار ا ميييجقلا رايي داق اييجيا ييق ع رميييع<br />

.<br />

q �10<br />

. نرك ينلوث ةناد<br />

PG(2,q)<br />

و<br />

لةطد<br />

q>36<br />

ةيلا ذيف ةجيسايخلا ةيجيلاقلا ةيع ي ي ل ىيار ا ميجقلا لجي ق ايجيا يث .<br />

ي يلا ذيف ةيصاص خ يصقو .<br />

q = 16<br />

ةيجيلاا ةيع ي ع ر يدوو داجيسامس داياطاا ي يت<br />

.<br />

67<br />

و<br />

q > 36<br />

66<br />

q<br />

،<br />

67<br />

66<br />

. ينساين ةناد<br />

َىمةد ىرك كؤمب-6<br />

q=16<br />

و<br />

ةتخوث<br />

q>25<br />

اموك ذ ىرَيذ<br />

َىرابةق ذ ىرك كؤمب اموك نيتركوضب<br />

َىرابةق ذ ىرك كؤمب نَيموك نيتركوضب ةم و<br />

ةصلاخلا<br />

ذطاقييس ا يي يلا ذيييفو سيي يلا احيي ذييف<br />

q = 16<br />

اعميجع ةجيسام لا ةيجيلاقلا ةيع ي ي ل ىيار<br />

ي ا ةد تيصأ ةيجيلاا ةيع ي ع ر يدو ايج يثأ ،<br />

ا ةد تصلأا ةجيلاقلا جعا يلا فججص ق اجيا ايك.<br />

مد<br />

و<br />

– ع ا لع<br />

q > 25<br />

اعميجع ةجيسايخلا<br />

ا ميجقلا راي داق ايجيا اييك<br />

PG(2, 9)<br />

66<br />

ذطاقيس ا<br />

ا ةد تصأ<br />

259


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

062<br />

A MULTIPLE CLASSIFIER SYSTEM FOR SUPERVISED<br />

CLASSIFICATION OF REMOTELY SENSED DATA<br />

AHMED AK. TAHIR<br />

Dept. of Physics, Faculty of Science, University of Duhok, Kurdistan Region-Iraq<br />

(Received: February 2, 2011; Accepted for publication: August 14, 2011)<br />

ABSTRACT<br />

In this paper a new scheme of multiple classifier system (MCS) for remote sensing data classification is proposed.<br />

It includes four member classifiers; maximum likelihood, minimum distance and two differently trained supervised<br />

artificial neural networks of type adaptive resonance theory ART_II. The system is based on newly developed method<br />

of integration, named Local Ranking (LK). This method is categorized as dynamic classifier selection (DCS) approach<br />

and based on ranking the classifiers for each class on the basis of pre-estimation of the class mapping accuracy from<br />

training data. The system is applied to multi-spectral image, taken by landsat-7 with ETM+ sensor, of Duhok city in<br />

Kurdistan region to classify seven cover types (residential area, water surface, dense vegetation, less dense vegetation,<br />

spars vegetation, wet soil and dry soil). The results have shown the superiority of the system performance over the<br />

performance of the individual classifiers in term of class and average accuracy. The increase in system performance<br />

for the seven classes compared to the highest class accuracy provided by any of the individual classifiers was 1.59%,<br />

0.0%, 0.7%, 5.14%, 13.21%, 4.67%, 2.02% respectively. While the increase in the average accuracy compared to the<br />

highest average accuracy provided by maximum likelihood classifier was 4.30%. This increase correspond to an area<br />

of (10.15) km 2 . The efficiency of the local ranking (LR) method is compared to the well known methods, local<br />

accuracy (LA) and majority voting (MV). The results have shown the superiority of the developed method (LR) over<br />

LA and MV in terms of average and class accuracy. The average accuracies of LR, LA and MV were (94.68%),<br />

(91.54%) and (91.57%) which correspond to (3.14%) and (3.11%) improvements in the favor of LR over LA and MV.<br />

These improvements are equivalent to areas of (7.4) km 2 and (7.34) km 2 . For individual class accuracy, LR method<br />

provided highest accuracy for three classes, LA method provided highest accuracy for two classes and MV provided<br />

highest accuracy for only one class, while all three methods provided same accuracy for one class.<br />

KEYWORDS: remote sensing, image classification, multiple classifier system, statistical methods, artificial neural network.<br />

S<br />

1. INTRODUCTION<br />

upervised classification of remotely<br />

sensed data, namely satellite images, is a<br />

technique of potential use in applications<br />

concerning the mapping of earth surfaces (e.g.<br />

land cover, vegetation areas and forest areas) and<br />

in environmental and atmospheric studies (e.g.<br />

monitoring of burned areas and cloud<br />

classification). Methods of supervised<br />

classification ranges from statistical methods,<br />

such as maximum likelihood, minimum distance<br />

and k-nn neighbor, [Dengsheng et al., 2004 and<br />

Jain et al., 2000], to non-statistical methods such<br />

as artificial neural networks (ANN), [Mather et<br />

al., 1998 and Ashish et al., 2009], support vector<br />

machine,(SVM), [Chi et al., 2008 ] and expert<br />

system, [Kahya et al., 2010]. The point of most<br />

concern in applying any of the classification<br />

methods is the accuracy of the classifier.<br />

Previous studies, e.g. [Benediktsson et al., 1990,<br />

Wilkinson and Kanellopoulos, 1995 and Serpico<br />

et al., 1996] concerning comparisons between<br />

statistical and non-statistical methods, have<br />

shown that there is no such a classifier that<br />

performs well in all situations because of the<br />

unstable nature of the data distribution. For<br />

instance, methods of statistical approach,<br />

specifically Maximum likelihood method,<br />

perform well for data of simple distribution<br />

while non-statistical methods, specifically<br />

artificial neural networks, perform well for data<br />

of complex distribution. Those studies have also<br />

shown that non-statistical methods suffer one<br />

major limitation concerning the understanding of<br />

their behaviors. The outcomes of these studies<br />

brought the attention of remote sensing<br />

community towards the concept of multiple<br />

classifier system (MCS). The idea of MCS is<br />

based on integrating the performance of two or<br />

more classifiers to achieve better classification<br />

accuracy. Several systems of multiple classifiers<br />

have been developed using different<br />

combinations of classifiers. Examples of these


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

systems can be found in [Giacinto et al., 2000,<br />

Liu et al., 2002, Pasquariello et al., 2002, Qiu<br />

and Jensen 2004, Meher et al 2006, Shankar et al<br />

2006, El-Melegy and Ahmed, 2007, Maulik and<br />

Chakraborty, 2010 and Ghosh et al., 2010]. The<br />

performance of any MCS depends on two main<br />

factors, selection of member classifiers and<br />

integration of their outputs. Member classifiers<br />

are preferred to be based on fundamentally<br />

different approaches, [Wilkinson and<br />

Kanellopoulos, 1995 ]. Two approaches are used<br />

for the integration of the classifiers, combined<br />

based and dynamic classifier selection based<br />

approaches. In the combined based approach all<br />

the outputs from the member classifiers<br />

contribute to the final decision of MCS. In the<br />

selection based approach the output of only one<br />

classifier is selected as a final decision of MCS.<br />

The success of either approach is determined by<br />

the nature of outputs produced by the member<br />

classifiers and the errors scored by the<br />

classifiers. Methods of combined based<br />

approach are based on the assumption that the<br />

member classifiers score independent errors.<br />

This may represent a serious shortcoming of this<br />

approach, since in real applications the selection<br />

of member classifiers that produce independent<br />

errors is rather a difficult task and may require<br />

large number of classifiers. On the other hand,<br />

methods of dynamic classifier selection based<br />

approach are not based on this assumption.<br />

However they are based on k-nn strategy.<br />

Therefore their successes are constraint by a<br />

proper selection of K value and improper<br />

selection may cause undesired results. In<br />

addition, dynamic classifier selection based<br />

Classifier 1<br />

Sample<br />

Classifier 2<br />

Integration of classifier outputs<br />

Final decision<br />

Fig. (1): General Scheme of MCS<br />

approach suffers the shortcoming of the<br />

appearance of many tie cases, that is more than<br />

one classifier may share the same rank.<br />

However, this shortcoming can be limited by<br />

using small number of member classifiers,<br />

[Benediktsson et al., 2007].<br />

The aim of this paper is to develop a multiple<br />

classifier system (MCS) consisting of four<br />

member classifiers, (maximum likelihood,<br />

minimum distance and two ART-II neural<br />

networks). The system is based on a newly<br />

developed method for classifier integration,<br />

named local ranking (LR) which is categorized<br />

as dynamic classifier selection based method.<br />

The paper is organized as follows: section-2<br />

covers general scheme of MCS and description<br />

of the most commonly used of integration<br />

methods, section-3 covers the proposed MCS<br />

and describes the components of the proposed<br />

system, section-4 presents the results and<br />

section-5 covers the outcome conclusions.<br />

2. GENERAL SCHEME OF MCS<br />

The general scheme of MCS is shown in<br />

figure (1). The sample (image pixel) is entered to<br />

all member classifiers then the outputs of the<br />

classifiers are integrated to produce the final<br />

result as to which class the pixel should be<br />

assigned. Usually two or more classifiers are<br />

incorporated in MCS. However, incorporating<br />

many classifiers should not slow down the<br />

process of classification.<br />

Classifier M<br />

062


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

The most important issue in developing MCS<br />

is the integration method, which must take<br />

advantage of the strengths of the individual<br />

classifiers and avoid their weaknesses. Several<br />

methods of both approaches are available. The<br />

applicability of any method is determined by the<br />

nature of the outputs produced by the involved<br />

classifiers. Generally speaking, there are three<br />

levels of output information, abstract level, rank<br />

level and measurement level. In the abstract<br />

level, each classifier produces a unique label. In<br />

the rank level, each classifier produces a set of<br />

labels in a queue with the label at the top being<br />

the first choice. In the measurement level each<br />

classifier produces a set of measurements which<br />

can be arranged according to their values.<br />

2.1 Combined Based Approach<br />

The most commonly methods of the<br />

combined based approach are:<br />

1) Majority voting rule, [Maulik and<br />

Chakraborty, 2010], which assigns the label<br />

scored by majority of the classifiers to the test<br />

sample. It can be applied to abstract and rank<br />

levels outputs. 2) Bayesian function, [Giacinto et<br />

al., 2000] which calculates the average posterior<br />

probabilities produced by the classifiers for each<br />

class and assigns the test sample to the class that<br />

has maximum average posterior probability.<br />

This method is applied to outputs at<br />

measurement level. 3) Belief function, [Smits,<br />

2002] which is knowledge based method. It is<br />

based on probability estimation provided by the<br />

confusion matrix derived from training data set.<br />

The test sample is assigned to the class that<br />

maximized the scalar product of these<br />

probabilities. However, Bayesian and belief<br />

function methods require comparable outputs,<br />

[Maulik and Chakraborty, 2010].<br />

2.2 Dynamic Classifier Selection (DCS) Based<br />

Approach<br />

The most commonly methods of the selection<br />

based approach are:<br />

1)Behavior-Knowledge Space (BKS) method,<br />

[Huang and Suen, 1995] which divides the Ndimensional<br />

space made by the decisions of the<br />

classifiers into units representing all possible<br />

combinations of the individual classifier<br />

decision. Then for each class, training samples<br />

are classified by the individual classifiers and<br />

accumulated in these units. When a test sample<br />

is passed over the classifiers, the decisions of<br />

individual classifiers index a unit and the sample<br />

is assigned to the class with most of the training<br />

samples in that unit. It can be applied to abstract<br />

and rank level outputs. 2) Classifier Rank (CR)<br />

060<br />

approach, [Sabourin et al., 1993] takes the<br />

decision of the classifier that correctly classifies<br />

most of the training samples neighboring the test<br />

sample. It is applied to both abstract and rank<br />

level outputs. 3) Dynamic classifier selection<br />

based Local Accuracy (DCS-LA), [Smits, 2002<br />

and Woods et al., 1997] which is based on an<br />

estimation of local accuracy in the local region<br />

of feature space surrounding the test sample. The<br />

decision is made by selecting the output of the<br />

classifier that produces maximum local<br />

accuracy.<br />

3. THE PROPOSED MCS<br />

In the present work a multiple classifier<br />

system for supervised classification of multispectral<br />

dataset is proposed. The system includes<br />

four individual classifiers, maximum likelihood<br />

and minimum distance classifiers and two ART-<br />

II networks trained with two different values of<br />

vigilance parameter. These classifiers are<br />

selected because they perform differently for<br />

surfaces of different homogeneity. Maximum<br />

likelihood is effective for classifying surfaces<br />

whose spectral signatures reside the Gaussian<br />

distribution in the feature space. Minimum<br />

distance is effective for very homogeneous<br />

surfaces whose spectral signature reside a point<br />

in the feature space. On the other hand ART-II is<br />

effective for surfaces whose spectral signature<br />

distribute randomly in the feature space. The<br />

system is based on newly developed method for<br />

classifier integration, named the Local Ranking<br />

method which is of dynamic classifier selection<br />

type. The components of the proposed system<br />

are described in the following sections.<br />

3.1. Maximum Likelihood Classifier (MLC)<br />

MLC is a statistical method which is based<br />

on Bayesian probability theory which makes use<br />

of statistical measurement (mean and<br />

variance/covariance matrix). It provides good<br />

results for classes of simple distribution.<br />

Mathematically, for equal priori probabilities of<br />

the classes, it is represented according to<br />

[Shankar et al., 2006] by the following equation.<br />

1<br />

P(<br />

x | ci<br />

) �<br />

( 2�<br />

) n/<br />

2<br />

� i<br />

1/<br />

2<br />

�[(<br />

x��<br />

) T �1<br />

i � i ( x��i<br />

)]<br />

e<br />

Where;<br />

Р(x | ci) is the conditional probability.<br />

ci is the i th class where i refers to class number, i<br />

= 1,2,…n and n is the total number of classes<br />

/ 2<br />

( 1)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

x is the testing sample (sample to be classified).<br />

µi is the mean vector for class i<br />

Σi is the covariance matrix.<br />

For computation purpose, equation (1) is<br />

usually modified to a form of discriminate<br />

function, [Chen and Ho, 2008] by applying the<br />

natural logarithmic (ln) which is a monotonic<br />

function on both sides and discarding the<br />

constant term. This will require changing the<br />

rule to choose minimum instead of maximum:<br />

T �1<br />

Fi ( x)<br />

� ln( �<br />

i ) � ( x � �i ) �<br />

i ( x � �i<br />

)<br />

( 2)<br />

Where, Fi(x) is substituted for ln(P(x|ci)). The<br />

rule of classification is to choose x that<br />

minimizes Fi as follows:<br />

x Є class i, if Fi (x)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

3.3.1. ART-II Training Phase<br />

1. Read training data (feature vectors a t (i),<br />

i=1…M) each with its class code b t ., where M is<br />

the number of spectral images used in the<br />

classification and t is the index of the feature<br />

vector in the data file.<br />

2. Normalize the feature vectors and take its<br />

complement to produce 2M length input vectors<br />

A t (i), i=1…2M.<br />

3. Select the first input vector A 0 (i) at t = 0 and<br />

its class code b 0 . Set the initial value of the<br />

Wijk , k<br />

dynamic learning rate parameter β and the<br />

choice parameter α.<br />

4. Use the current input as the initial weights of<br />

the newly committed category node jk at stake<br />

k=b as follows:<br />

Where C(k) is the number of committed node in<br />

stack number k and L is the total number of<br />

stakes (output classes)<br />

5. Set the initial values of the Vigilance<br />

parameter ρ.<br />

6. Set t = t+1 and select the next input vector<br />

At(i) with its associated class code bt, if the end<br />

of file is reached goto step 14.<br />

7. Calculate the choice value of the committed<br />

nodes (<br />

T<br />

) in all the stakes using the<br />

j k<br />

k<br />

following equation:<br />

2M<br />

� (<br />

i<br />

Ai<br />

�W<br />

)<br />

ijk<br />

k<br />

T k<br />

�<br />

�1<br />

; j � 1...C(k);<br />

k � 1...L<br />

(5)<br />

jk 2M<br />

k<br />

α � �<br />

i�1 Wijk k<br />

The symbol ^ means take-minimum-of.<br />

8. Select the node of maximum choice value Tjk<br />

of each stack using the following relation:<br />

T jk<br />

� max{ T k<br />

; j �1...<br />

C(<br />

k);<br />

k �1...<br />

L}<br />

jk k<br />

These maximum values are the candidates of<br />

their stacks<br />

9. The maximum of all maximums is chosen to<br />

represent winning node, that is:<br />

T JK<br />

� max{ T Jk<br />

; Jk<br />

� J1<br />

... J L<br />

}<br />

10. The match value is computed for the winning<br />

node using the following equation:<br />

MV ( � i W<br />

062<br />

0<br />

�<br />

A ( t);<br />

jk<br />

2M<br />

� �<br />

i�1<br />

�<br />

1...<br />

A iJK<br />

C(<br />

k);<br />

k<br />

) / M<br />

1...<br />

(6)<br />

11. Perform match value and class matching:<br />

�<br />

L<br />

if {(MV >= Vigilance parameter ρ).and.(the<br />

class of current input b = the<br />

class of winning node K)} then<br />

//Update the weights of the winner node<br />

as follow:<br />

new old<br />

old<br />

WiJK<br />

� � ( Ai<br />

�W<br />

iJK<br />

) � ( 1�<br />

� ) WiJK<br />

; i � 1...<br />

2M<br />

(7)<br />

Return to step 6<br />

Else perform match tracking<br />

goto step12<br />

end if<br />

12. Perform match tracking<br />

If {(MV < Vigilance parameter ρ .or. input<br />

class b ≠ output class K ) then<br />

Put the current node out of<br />

competition<br />

Select the node with the next<br />

maximum choice value of the winning stack<br />

Set the value of ρ to the match value plus ε<br />

then go to step 9<br />

end if<br />

13. Match tracking failure<br />

If the match tracking is failed for all the<br />

committed nodes in all stakes then<br />

The number of committed nodes in the stack<br />

is increased by 1<br />

C ( b)<br />

� C(<br />

b)<br />

�1<br />

goto step 5<br />

else<br />

current input pattern; W � A ; i �1...<br />

2M<br />

i,<br />

C(<br />

b),<br />

b i<br />

//set the initial weights as input pattern, this<br />

means that initial weight values are not<br />

required.<br />

Goto step 5<br />

end if<br />

14. Stop<br />

3.3.2. ART-II Testing Phase<br />

1. The input pattern vector is submitted to the<br />

network and the choice values for all committed<br />

nodes in all stacks are computed using equation<br />

(5).<br />

2. The node with highest Tjk k is selected as<br />

winner.<br />

3. The MV of the winning node is computed<br />

using equation (6).<br />

4. Check vigilance test<br />

If {MV >= ρ} then<br />

The current input pattern belongs to class K<br />

else<br />

The network fails to classify the input pattern<br />

end if.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

3.4. Local Ranking (LR) method<br />

The outputs of the member classifiers used in<br />

the proposed MCS are not comparable. ART-II<br />

network produces only one class at a time<br />

(output of abstract level) while maximum<br />

likelihood and minimum distance produce<br />

measurement outputs for all possible classes.<br />

Therefore, among the combined based methods<br />

only majority voting rule can be adapted to the<br />

system. However, this rule may show one of<br />

two major shortcomings depending on the<br />

degree of correlation among the errors made by<br />

individual classifiers. When these errors are<br />

correlated, that is when all classifiers produce<br />

incorrect but similar outputs the rule of majority<br />

will lead to incorrect decision. When these errors<br />

are uncorrelated, that is when each classifier<br />

produces a unique output, the rule of majority<br />

leads to a failure. On the other hand, most of the<br />

previous methods of dynamic classifier selection<br />

based approach use nearest neighboring samples<br />

for selecting the best classifier. Therefore their<br />

performance depend the size of neighboring<br />

samples (K) and the choice of an appropriate<br />

size is rather a difficult task.<br />

The new dynamic classifier selection based<br />

method developed in this study takes the<br />

effectiveness of individual classifiers into<br />

account. It is named Local Ranking (LR) and<br />

Table (1): A model of ARM<br />

based on ranking the classifiers for each class<br />

according to the mapping accuracy of the class<br />

by each classifier. The mapping accuracy of the<br />

class is measured through the confusion matrix<br />

of the training data taking into account the<br />

omission and commission errors using the<br />

following equation:<br />

pcorr<br />

MA � (8)<br />

p � p � p<br />

corr<br />

om<br />

com<br />

Where Pcorr represents samples classified<br />

correctly to the current class, Pom is omission<br />

error representing samples from the current class<br />

but classified as other classes and Pcom is<br />

commission error representing samples from<br />

other classes falsely classified to the current<br />

class. Then for each class a rank of (1) is given<br />

to the classifier that offers highest mapping<br />

accuracy and a rank of (m) is given to the<br />

classifier that offers least mapping accuracy,<br />

where m is the number of member classifiers.<br />

The mapping accuracy and the classifier ranks<br />

are arranged in a table named the accuracyranking<br />

map (ARM) which is used for the<br />

implementation of Local Ranking method. A<br />

model of this map for m classifiers and n classes<br />

is shown in table (1), where MA and R,<br />

respectively are the mapping accuracy and<br />

ranking of the classifiers.<br />

Classifier Class 1 Class 2 . . . . . Class n<br />

Classifier 1 MA11 R11 MA12 R12 MA1n R1n<br />

Classifier 2 MA21 R21 MA22 R22 MA2n R2n<br />

.<br />

.<br />

In order to reduce the occurrence of tie cases,<br />

the classifier rank and the mapping accuracy are<br />

used in the process of classifier selection.<br />

However, the first priority is given to the<br />

classifier rank within each class while the<br />

mapping accuracy of the classifiers is given the<br />

second priority. This strategy is adopted in order<br />

to prevent the domination of classes that have<br />

high accuracy over those having low accuracy.<br />

The rule of local ranking (LR) method is as<br />

follows:<br />

Let m represents the number of member<br />

classifiers and n is the number of classes, then,<br />

x Є class j if Rij < Rkl for all i ≠ k<br />

.<br />

.<br />

Classifier m MAm1 RM1 MAmn Rmn<br />

.<br />

.<br />

.<br />

.<br />

Where, i & k refer to the classifier number (i&k<br />

= 1,2,,,,m) and j &l refer to the class number<br />

(j&l =1,2,,,,n).<br />

To limit the occurrence of ties, the following<br />

cases are considered during the execution of the<br />

rule:<br />

1. When two or more classifiers share the<br />

highest rank and produce same output class, the<br />

image pixel is assigned to that class, that is:<br />

x Є class j if Rij = Rkl and j = l.<br />

2.When more than one classifier share the<br />

highest rank but produce different output classes,<br />

the accuracy of the classifiers are considered.<br />

The output class of the classifier with highest<br />

accuracy will be taken as the winner class to<br />

.<br />

.<br />

062


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

which the image pixel should be assigned, that<br />

is:<br />

if Rij = Rkl and j ≠ l. then<br />

x Є class j if Aij > Akl<br />

else if Aij < Akl<br />

x Є class l<br />

end if<br />

3.When the member classifiers produce different<br />

output classes but have same rank and same<br />

accuracy, the image pixel is assigned arbitrarily<br />

to one of the output classes, that is.<br />

if Rij = Rkl and Aij = Akl while j ≠ l. then<br />

066<br />

Fig. (3): The six original bands of Duhok City<br />

Seven classes were identified through the<br />

visual interpretation of two false color composite<br />

images (band4, band3, band2 as RGB) and<br />

Table (2): Class Identities in Duhok City<br />

Class No. Identity<br />

1 Residential area<br />

2 Duhok Dam<br />

3 Dense vegetation<br />

In order to achieve better classification<br />

confidence, two sets of training data representing<br />

these classes are selected interactively through<br />

two false color composite images. The first<br />

training data set is used for training two ART-II<br />

classifiers and calculating the statistical<br />

measurements for minimum distance and<br />

4 Less dense vegetation<br />

5 Sparse vegetation<br />

6 Wet soil<br />

7 Dry soil<br />

Classify x arbitrarily either to class j or class l.<br />

4. RESULTS WITH APPLICATION TO<br />

ETM+ IMAGES of DUHOK CITY<br />

The developed MCS is applied to 512 by 512<br />

ETM+ images of Duhok city in the Kurdistan<br />

Region of Iraq. These images were taken in June<br />

(the summer season) of 2001. Figure (3) shows<br />

the six bands used in this study (band1, band2,<br />

band3, band4, band5, band7).<br />

(band7, band5, band1 as RGB). These classes<br />

are shown in table (2).<br />

maximum likelihood classifiers. The second<br />

training data set is used to calculate the<br />

accuracy-ranking map. The size of the first<br />

training data set is (2400) samples with class<br />

samples ranging from 230 to 450. The size of<br />

the second training data set is (2423) samples<br />

with class samples ranging from 280 to 494.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

However, ART-II is trained twice, once using<br />

the control parameters (α=0.02, β=0.1 and<br />

ρ=0.96) and another using the control parameters<br />

(α=0.02, β=0.1 and ρ=0.96). Increasing the<br />

vigilance parameters (ρ) will change the<br />

Fig. (4): Classification results, A- Maximum Likelihood,<br />

B- Minimum Distance, C- ART-II ρ = 0.96, D- ART-II ρ = 0.92<br />

These results show that the majority of the<br />

differences between the four classification<br />

results are manifested in the classes of less dense<br />

vegetation, spars vegetation, wet soil and dry<br />

soil. This can be realized by comparing the four<br />

Table (3): Confusion matrices of the individual classifiers<br />

A: Maximum likelihood<br />

behaviors of ART-II and higher number of nodes<br />

in the stake will be generated.<br />

4.1 Results of the Four Individual Classifiers<br />

Figure (4) shows the results of the four<br />

classifiers when applied separately.<br />

images for the colors yellow, cyan, magenta and<br />

brown. The confusion matrices of the four<br />

classifiers using the second set of the training<br />

data are shown in table (3).<br />

Residential Water Dense V. L. dense V. Sparse V. Wet soil Dry soil<br />

Residential 429 0 0 0 7 1 2<br />

Water 0 280 0 0 0 0 0<br />

Dense V. 0 0 276 6 0 0 0<br />

L. dense V. 0 0 6 465 19 2 0<br />

Sparse V. 0 0 1 12 310 24 5<br />

Wet soil 2 0 0 0 3 261 18<br />

Dry soil 0 0 0 0 0 14 278<br />

062


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

062<br />

B: Minimum distance<br />

Residential Water Dense V. L. dense V. Sparse V. Wet soil Dry soil<br />

Residential 408 0 0 2 13 9 7<br />

Water 0 280 0 0 0 0 0<br />

Dense V. 0 0 256 16 10 0 0<br />

L. dense V. 0 0 2 461 28 2 1<br />

Sparse V. 8 0 0 8 296 40 0<br />

Wet soil 3 0 0 2 6 260 13<br />

Dry soil 0 0 0 0 1 28 263<br />

The diagonal elements represent the number<br />

of pixels that are correctly classified. The offdiagonal<br />

elements in the row of the class<br />

represent the number of pixels that are<br />

incorrectly classified to other classes, known as<br />

omission error. The off-diagonal elements in the<br />

column of the class represent pixels that are<br />

falsely classified to the current class, known as<br />

commission error.<br />

The accuracy ranking map is derived from<br />

the Mapping Accuracy (MA) of the classes. First<br />

the Mapping Accuracy of the class is calculated<br />

using equation (8). The derived accuracy ranking<br />

map is shown in table (4). For each class the<br />

highest accuracy provided by one of the four<br />

C: ART-II with ρ=0.96<br />

Residential Water Dense V. L. dense V. Sparse V. Wet soil Dry soil<br />

Residential 428 0 0 0 3 5 3<br />

Water 0 280 0 0 0 0 0<br />

Dense V. 0 0 279 3 0 0 0<br />

L. dense V. 0 0 3 428 63 0 0<br />

Sparse V. 1 0 0 59 275 16 1<br />

Wet soil 0 0 0 0 10 245 29<br />

Dry soil 0 0 0 0 0 8 284<br />

D: ART-II with ρ=0.92<br />

Residential Water Dense V. L. dense V. Sparse V. Wet soil Dry soil<br />

Residential 427 0 0 0 2 7 3<br />

Water 0 280 0 0 0 0 0<br />

Dense V. 0 0 272 8 2 0 0<br />

L. dense V. 1 0 1 419 73 0 0<br />

Sparse V. 0 0 0 90 231 28 3<br />

Wet soil 1 0 0 0 1 250 32<br />

Dry soil 0 0 0 0 0 20 272<br />

classifiers is shown in bolt font. According to<br />

this table, class 2 which represents the water<br />

surface of Duhok dam has a rank of (1) for all<br />

classifiers. This means that all classifiers have<br />

performed equally. This can be attributed to the<br />

homogeneity of water surface. A part from class<br />

2, maximum likelihood classifier shows the best<br />

performance, rank (1) for four classes and ART-<br />

II with (ρ = 0.96) shows the best performance<br />

rank (1) for two classes However, when talking<br />

on the pixel level, the performance of other<br />

classifiers (minimum distance and ART-II with<br />

ρ = 0.92) should not be underestimated during<br />

the integration operation.<br />

Table (4): The accuracy-ranking map of the four classifiers<br />

Class No./Color MLC MDC ART-II ρ = 0.96 ART-II ρ = 0.92<br />

1/Red 97.05% (2) 90.66% (4) 97.27% (1) 96.82% (3)<br />

2/Blue 100.0% (1) 100.0% (1) 100.0% (1) 100.0% (1)<br />

3/Green 95.50% (2) 90.14% (4) 97.90% (1) 96.11% (3)<br />

4/Yellow 90.82% (1) 88.13% (2) 76.97% (3) 70.77% (4)<br />

5/Cyan 81.36% (1) 72.19% (2) 63.80% (3) 53.72% (4)<br />

6/Magenta 80.30% (1) 71.62% (4) 78.27% (2) 73.74%0 (3)<br />

7/Brown 87.69% (1) 84.02% (4) 87.38% (2) 82.42% (3)<br />

Average 90.38% 85.25% 85.94% 81.94%


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

4.2 Results of Applying the Proposed MCS<br />

The proposed system of MCS is applied to<br />

the same multi-spectral image using three<br />

methods of integration, local Ranking (LR),<br />

method developed in this study, and two of<br />

previous methods, local accuracy (LA) and<br />

majority voting methods. For LA<br />

implementation, several values of K were tested<br />

and the value of (12) was found to provide the<br />

best results. For MV implementation, maximum<br />

voting of (2 out of 4) was taken for the decision<br />

making. However, for the cases when the four<br />

individual classifiers produce four different<br />

outputs, the decision is made arbitrarily. The<br />

classified images are shown in figure (5).<br />

Fig. (5): The results of the proposed MCS Using LR, LA and MV methods of integration<br />

The distribution of all classes in all three<br />

classified images show more homogeneity than<br />

in any of the individual classifiers which gives<br />

the sense of better performance of MCS with all<br />

three methods of integration. The increase in the<br />

performance of the developed MCS for the<br />

seven classes compared to the highest class<br />

accuracy provided by any of the individual<br />

classifiers was (1.59%, 0.0%, 0.7%, 5.14%,<br />

13.21%, 4.67%, 2.02%) respectively. While the<br />

increase in the average accuracy compared to the<br />

highest average accuracy provided by maximum<br />

likelihood classifier was 4.30%. This increase<br />

correspond to an area of (10.15) km 2 out of total<br />

area of (236 km 2 ), taking into account the image<br />

size (512 by 512) pixels and each pixel<br />

representing (900) m 2 . The execution time of the<br />

system for six multi-spectral bands of size 512<br />

by 512 , using P4 computer with 1.75 MHZ and<br />

Visual C++ programming language (version<br />

6.0), is shown in table (5). The total time is<br />

around 40 sec. The training time includes only<br />

the time required to train two (ART-II), which<br />

was around 2 minutes. Where as maximum<br />

likelihood and minimum distance classifiers do<br />

not need training.<br />

Table (5): The execution time of MCS<br />

classifiers<br />

Classifier Time (sec)<br />

Minimum distance 3<br />

Maximum likelihood 15<br />

ART-II (ρ = 0.96) 10<br />

ART-II (ρ = 0.92) 8<br />

Accuracy Map + LR method 4<br />

sum 40<br />

To compare the accuracy performance<br />

provided by the three methods of integration are<br />

shown in table (6).<br />

062


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

022<br />

Table (6): The class mapping accuracy of the proposed MCS<br />

Using LR, LA and MV methods of integration<br />

Class No. MCS by LR MCS by<br />

LA<br />

MCS by MV<br />

1 98.86% 96.68% 98.41%<br />

2 100% 100% 100%<br />

3 98.60% 99.29% 98.58%<br />

4 95.96% 90.11% 89.65%<br />

5 94.57% 77.18% 76.22%<br />

6 84.97% 87.29% 85.80%<br />

7 89.71% 90.23% 92.39%<br />

Average l 94.68% 91.54% 91.57%<br />

The average accuracy provided by the<br />

developed method (LR) is higher than that<br />

provided by (LA) and (MV). The improvement<br />

reached (3.14%) and (3.11%) over LA and MV<br />

respectively. These improvements correspond to<br />

areas of (7.4) km2 and (7.34) km2. In terms of<br />

class mapping accuracy, except class (2) for<br />

which all methods provided 100%, the<br />

performances of the three methods of integration<br />

are as follow: LR method provided highest<br />

accuracy for classes (1, 4 and 5). LA method<br />

provided highest accuracy for classes (3 and 6).<br />

MV method provided highest accuracy only for<br />

class (7). These results indicate superiority of<br />

LR method over LA and MV methods.<br />

5. CONCLUTIONS<br />

This study has shown that the combination of<br />

artificial neural network and statistical methods<br />

is an efficient method to improve the accuracy of<br />

the classification. Among the individual<br />

classifiers maximum likelihood produced<br />

highest average accuracy. However, in terms of<br />

class level, both maximum likelihood and ART-<br />

II with (ρ = 0.96) produced the best results. The<br />

proposed multiple classifier system with all three<br />

methods of integration performed better than the<br />

individual classifiers in terms of average and<br />

class mapping accuracy. In terms of average<br />

accuracy, the proposed system with the<br />

developed local ranking (LR) method of<br />

integration, performed better than the system<br />

with (LA) and (MV) methods. However, in<br />

terms of individual classes, the developed<br />

method (LR) showed highest mapping accuracy<br />

for three classes while (LA) showed highest<br />

mapping accuracy for two classes and (MV)<br />

showed highest mapping accuracy for only one<br />

class. This result urges the attention towards the<br />

development of new approach of multiple<br />

classifier systems that uses two levels of<br />

integrations, one for integrating the outputs of<br />

member classifiers and another for integrating<br />

the outputs of integration methods.<br />

ACKNOWLEDGEMENT<br />

This work was supported by the University of<br />

Duhok as a part of the scientific research plan of<br />

Physics Department for the year 2009/2010<br />

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supervised remote sensing image classification<br />

based on dynamic classifier selection, IEEE<br />

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neural and statistical approach in spatial data<br />

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Combination of Multiple classifiers using Local<br />

Accuracy Estimates, IEEE, Transaction on Pattern<br />

Recognition and Machine Intelligence, Vol. 19, No.<br />

4., 405-410.<br />

022


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

020<br />

ةتخوث<br />

ًيترىشةم ايتزاظاظ ؛ةىاكَيئ ًَييتزاظاظ زاوض ذ ةيتاَكَيب وك ٌسكَيض ةتاٍ ىوى َىي ىيةسف َىكةمةتطيض ادَيييلوكةظ َىظ د<br />

ب ) ART-II(<br />

ٌاضائ اييشزةل َىزوج ذ زايتضةٍ ًَيزوت ذ ىتاَكَيث ًَييتزاظاظ وود و ىتاسيود ًيترنيك ايتزاظاظ و ظىةض<br />

ةتاٍ و ىتفةكزةد ًَييتزاظاظ اىسكموك ؤب ٌاىاد ةتاٍ ىوى اكةكَيز . (�) َىيضستةم َىكلوكفةٍ<br />

ذ زوج و ةزوج ًَيياَب وود<br />

ل ٌاييئزاكب ةييتاٍ ًَييتزاظاظ ذ َىكةيتزاظاظ زةٍ ؤب ٌسكصَيز ةيتاٍ ًتزاظاظ َىكَيز َىظ ب<br />

. ىيوخفاى اىسكصَيز ب ٌسكظاى<br />

ًتزامذةٍ ةتيٍ َىد ًيترشاب ،ٌووب ظةٍ كةو ًتزاظاظ وود زةطةئ . ايتزاظاظ تَيي ىكَيجضةد ًَيىادَيث ذ وانجةئ ًيترشاب فيود<br />

تَيي ) LANDSAT 7(<br />

تسكضةد اظيةٍ ًَيطىةبةش ًَييَيو زةطل ٌاييئزاكب ةتاٍ ةمةتطيض ظةئ<br />

. اَب ًيترشاب فيود ل<br />

،ةىةظةئ ىذ وةئ وك ىدزةئ زةطل ًَيزوج تفةح ايتزاظاظ ؤب َىقايرع اىاتضدزوك انَيزةٍ ل َىكوٍد َىسَيذاب ؤبيتسط ةييتاٍ<br />

. كشٍ اخائ و زةت اخائ ،هَيك اىدىاض ًَيَج ،ىدىةظاى اىدىاض ينَج ،ىرت اىدىاض ينَج ،دزةئ زةض اظائ ،َىىدىاوةح ًَيَج<br />

ايشاب ذ امانجةئزةد اياسكَيت ايشاب و ايتزاظاظ ايشاب ذ َىكةيتزاظاظ زةٍ ؤب ٌاييئ ةظضةدب شاب ًَيمانجةئزةد ىوى َىمةتطيض ىظ<br />

ظيودل ايتزاظاظ تفةح زةٍ ؤب ) 3503%<br />

, 55.0%<br />

, 92539 % , .595%<br />

, 050%<br />

, 050%<br />

, 95.1%<br />

(<br />

َىيشاب ارَيز ايتزاظاظ<br />

ًَييتزاظاظ ًَيمانجةئزةد ذ . وانجةئ ًيترشاب ذ ) 4.30% ( َىيشاب ارَيز َىيشاب اياسكيت َىتضائ زةض ل اضةو زةٍ . ٌووب كَيئ<br />

2<br />

لةةطد ٌسكدزةوازةةب ةتاٍ ةكَيز ظةئ .) هك10.14(<br />

َىزةبَيز زةبمازةب ةتيظةكد ةيٍةدَيش ظةئ . تنفةكتضةد ةتاٍ ةىاكَيئ<br />

اةي َىيترةشاب اةياسكَيت ادةَييدزوازةب َىةظد . زايضاى تَيي ٌادطىةد ًيترشاب و وانجةئ ًيترشاب اىسكموك ًَيكَيز وودزةٍ<br />

) 91.54% (<br />

ىزةطل ىسكزايد ًَيوةئ ًظةك ًَيكَيز وودزةٍ َلىةب ،تفةكتضةد ىوى اكَيز ؤب<br />

) 94.68% (<br />

ىتفةكتضةد<br />

3 و ) هك7.4(<br />

اىووبةدَيش َىزةطةئ ةتيب وك ) 3.11% ( و ) 3.15% ( ارَيز اىووبةدَيش وكىائ ،اىووب تفةك تضةد ) 91.57% (<br />

ادةىةبصَيز اةكَيز ب اةيتزاظاظ َىض زةض ل تفةكزةض ىوى اكَيز ادوج ادوج ًَييتزاظاظ ايشاب ذ اضةو زةٍ<br />

3 .) هك7.34(<br />

ؤب ٌووبظةٍ كةو كَيز َىض زةٍ َلىةب . َىيتزاظاظ كَيئ ؤب َىىادطىةد<br />

اكَيز و ايتزاظاظ وود ؤب ىيوخفاى ايترشاب و ىيوخفاى<br />

.<br />

ىيام ايتزاظاظ


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 260-273, 2011<br />

,<br />

بذ ولا ةذعثكترا دتذ<br />

نعذذت تتخ نعذذتمعو<br />

:<br />

ART-II<br />

ةصلاخلا<br />

ذه ص تذ يذ تا نذ عبذأ ذي ك ذدت دعتذ ف نصذ م ظا ثتذحت إذثحلا ااذه نمضتي<br />

ذذ عأتلا<br />

نعم ذذلا بذذم يذذلكبملا ةعحذذ دلا صأحذذتلا نذذ نع تذذ و<br />

ذف . ةذعتثملا ذف لا ةوي ط تعمح ص ت ملا هاه صك خ ل صأتل ة ي ك ةوي ط ظا ثتحت مف ذت . (�)<br />

,<br />

ذذم را ةلأصذذحملا دتذذ<br />

ةتبطخلا ل صدمل<br />

ص تذ ملا هاذلل ةك ختحملا ةق لا قفو دعت تلا ف ةتخا لا فصتصرا ن دتص لأل ص ت ملا عف ف متي ةوي طلا هاه<br />

مذفو . ةذق لا معذق ذلت بك لصذ ل صدتلا<br />

ا ذدلا عصتذح تبك معذتقا ذف بذه ةتي مل 7-<br />

ةطذذحبت ةذذععاتا قطصذذت<br />

, ةذذ عثك ةذذععاتا قطصذذت<br />

حك متي دت ن ثكر ف لا يوصحف لصلأ فو . فصتصرا نع ةعلوا صعطد ن<br />

صح ملا عصتط لا مولص ةطوتت فصعطرا ة دت ةتبص تع نص تلا قعحطف<br />

, ةعثطذذح هصذذع<br />

, ةعتأذذح قطصذذت<br />

:<br />

ذذه ذذ لا صذذطضلا نذذ ابذذما يحذذح دعتذذ تل<br />

نصذذذ تتل دعتذذذ تلا ةذذذق نذذذحثف نذذذع نسصذذذتتلا ذذذلظاو . ةذذذح صي ةذذذ فو , ةذذذحطت ةذذذ ف , ةذذذفصثألا ةذذذتعتق ةذذذععاتا قطصذذذت<br />

, ةذذذفصثألا<br />

ذحم تذمصك فصتذصرا ةذق إعلأ نمف . ةق لا ل د و فصتصرا ةق إحلأ ن ة تملا ص ت ملا ن لك نع ظ ثتحملا<br />

ذذذتع صذذذ ا .<br />

لابذذذتلا ذذذتع ةدحذذذحلا<br />

فصتذذذصلأل ) 3.03%<br />

, 5..7%<br />

, 92.39 % , ..95%<br />

, 0.7%<br />

, 0.0%<br />

, 9..1%(<br />

ة صذييلا هاذهو . ة ذ تملا ص تذ ملا نسصذتم نعذ نذ ةذمعتم لذضفا نذع<br />

(4.30%)<br />

3<br />

نذ نعتتم ذ صذلتمتصو مذف لذ صأتتل ةم ثتذحملا ةذعتثملا ذف لا ةذوي ط ة صذ ك تصذحتخلإ . مذك ) 90.9. (<br />

ةذوي طلا بذ ف نذع ةمتصوملا لظاو . ةعحتغرا تيب ت ل صأتلا ةوي طو ةعتثملا ةق لص ل صأتلا ةوي ط<br />

ذتوي طل ةذق لا ل ذد عصذك صذمتع ةم ثتذحملا ةذوي طتل<br />

ذتلاو<br />

(3.11%)<br />

و<br />

(3.14%)<br />

صهتا ذو ة صيي يا .<br />

(94.68%)<br />

لابتلا<br />

تع<br />

نذذذحثتلا<br />

نذحثتلا ةحذحم تذمصك ةذق لا ل ذد بتذح<br />

صهتا ذو ةلأصذح ل صذدف<br />

هو ةو صحلا قسا طلا<br />

ةذق لا ل ذد عصذك ذت , ةذق لا ل ذد إذعلأ نذ ةم ثتذحملا<br />

(91.57%)<br />

3<br />

ةذوي طتل بذ تلا عصذأف ذ ت لأذت فصتذصرا ةذق إذعلأ نذ صذ ا . مذك<br />

صذمتع<br />

,<br />

و<br />

(91.54%)<br />

3<br />

(7.34) و مذك<br />

ذلأاو دتذ ةذعحتغرا تيبذ ف ةذوي طلو نع ت ةعتثملا ةق لا ةوي طل و فصتصا ةملاث<br />

ةعحتغرا تيب فو ةعتثملا ةف لا<br />

(7.4)<br />

صهتا ذو ةلأصذح ل صذدف<br />

) ةعتثملا ف لا(<br />

ةم ثتحملا<br />

.<br />

لأاو دت ل ةملاثلا قسا طلا ة ص ك وصحف<br />

022


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 274-280, 2011<br />

274<br />

EXPERIMENTAL DETERMINATION OF PASCHEN CURVE AND FIRST<br />

TOWNSEND COEFFICIENT OF NITROGEN PLASMA DISCHARGE<br />

SABAH IBRAHIM WAIS<br />

Dept. of Physics, Faculty of Science, University of Duhok, Kurdistan Region, Iraq<br />

(Received: February 27, 2011; Accepted for publication: August 10, 2011)<br />

ABSTRACT<br />

In the present work, an experimental study is performed to determine the first Townsend coefficient and Paschen<br />

curve for N2 gas using a parallel plate geometrical configuration. Paschen curve coefficients are derived by<br />

exponential fitting of first Townsend coefficients data of plasma discharge. The experimental data are acquired at<br />

different working pressure and various electrode gap separations. Furthermore, the amplification process of the gas<br />

gain in a uniform electric field is realized.<br />

KEYWORDS: Paschen Curve, Townsend Coefficients, Plasma discharge, Nitrogen gas<br />

T<br />

INTRODUCTION<br />

he average distance of an electron travels<br />

between ionizing collision is called the<br />

mean free path � for ionization, its inverse, the<br />

number of ionization collision per centimeter, is<br />

called the first Townsend coefficient α. This is a<br />

fundamental parameter, which determines the<br />

gas gain [Lieberman M. A., and Lichtenberg A.<br />

J. (2005)].<br />

If No is the number of primary electrons in a<br />

uniform electric field, the number of electrons<br />

after distance d, under avalanche conditions, is<br />

given by [Sharma A. and Sauli F. (1993)]:<br />

N � NO<br />

exp( �d)<br />

………………. (1)<br />

In presence of a continuous source of<br />

ionization, the current is given by:<br />

I � IO<br />

exp( �d)<br />

………………. (2)<br />

where Io is the current produced by No<br />

primary electrons produced per unit time. The<br />

multiplication factor or gas gain G is obtained<br />

over a distance d by:<br />

G �<br />

N<br />

N<br />

O<br />

�<br />

I<br />

I<br />

O<br />

� exp( �d)<br />

………………. (3)<br />

The first Townsend coefficient α depends<br />

upon many parameters, the main ones being<br />

nature of the gas, electric field and pressure<br />

[Sharma A. and Sauli F. (1993), Burm K. T.<br />

(2007)].<br />

The Townsend coefficient α is increased with<br />

electric field E. It depends on the pressure P. It<br />

can<br />

be demonstrated that in a wide range of E and P<br />

the ratio α/P is a unique function of E/P. The<br />

first Townsend coefficient describes the success<br />

rate for accelerated electrons to collide and<br />

ionize the background gas. The created positive<br />

ions may collide with the cathode creating new<br />

electrons, so-called secondary electrons, out of<br />

the electrode. The probability of a successful<br />

event is described with the second Townsend<br />

coefficient γ. As might be expected from the<br />

analogy of cross-sections, the first Townsend<br />

coefficient α is a function of pressure and<br />

accelerating field. The coefficient α is expected<br />

to behave conform [Burm K. T. (2007)]:<br />

const Eion<br />

� � exp( � )<br />

� E�<br />

e<br />

e<br />

………………. (4)<br />

where λe is the mean free path for electron<br />

scattering off neutrals, Eλe is the energy gain in<br />

the electric field, and Eion is the energy needed to<br />

ionize the atoms. Note that the mean free path<br />

for electron scattering is inversely related with<br />

pressure. Further, voltage V equals the electric<br />

field multiply by the gap distance d. This yield<br />

� �<br />

Bpd<br />

Ap exp( � )<br />

V<br />

………………. (5)<br />

where A and B are called Paschen coefficients<br />

and found to be roughly constant over a range of<br />

voltages and pressures for any given gas.<br />

Combining this result with the breakdown<br />

condition yields [Burm K. T. (2007)]:<br />

V breakdown<br />

Bpd<br />

�<br />

1<br />

ln( Apd ) � ln(ln( 1�<br />

))<br />

�<br />

………. (6)


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 274-280, 2011<br />

This useful relation suggests that for a given<br />

gas the voltage at which the breakdown occurs<br />

depends on the product of pressure and electrode<br />

separation (that is, Pd). It is generally known as<br />

Paschen’s law and a curve drawn from this<br />

equation between Pd and Vbreakdown is referred to<br />

as Paschen curve. The Paschen curve has a<br />

minimum below which breakdown cannot occur.<br />

The Paschen curve is a function of the gas and<br />

weakly of the electrode material [Shuping Z.,<br />

Bruyndonckx P., Goldberg M. and Tavernier S.<br />

(1994)].<br />

Many efforts have been done for the<br />

determination of α and a lot of current-voltage<br />

(I-V) characteristics data exist for a wide variety<br />

of gases and mixtures using different<br />

geometrical configuration of the electrodes. The<br />

data that exist for high field have been obtained<br />

with chambers having non-uniform electric field<br />

[Sharma A. and Sauli F. (1993), Burm K. T.<br />

(2007)].<br />

The present work is devoted to determine<br />

Paschen coefficients A and B and first<br />

Townsend α of a plasma discharge in pure<br />

nitrogen for different parallel plate gap<br />

separation d and small data spacing. In order to<br />

satisfy this requirement through a suitable<br />

design, fast automatic data acquisition system is<br />

built to acquire the experimental data with high<br />

current-voltage sampling density. To access the<br />

values of α/P experimentally, and avoid having<br />

excessively high working voltage, the data have<br />

been acquired at low electric field and high<br />

Fig. (1): Schematic diagram of the measurement system.<br />

working pressure. A Matlab program was<br />

performed for fitting the acquired data.<br />

EXPERIMENT SET-UP AND<br />

TECHNIQUE<br />

The experimental setup is shown in figure<br />

(1). It consists of 50 cm long, 4 cm diameter<br />

Pyrex glass tube fitted with a 3.2 cm fixed planer<br />

circular electrode on both sides (Parallel plate<br />

geometry). The electrode fittings are capable of<br />

withstanding up to three atmospheric pressures<br />

inside the tube. The tube has one gas in and one<br />

gas out ports. The high tension ac voltage supply<br />

consists of a 110/33000 volts transformer of the<br />

type used in mains grid utilities. This HT<br />

transformer is activated from the mains 220<br />

voltage line through a 220/110 transformer. This<br />

later transformer also serves as an isolation<br />

transformer which eliminates double earthing<br />

problems between the HT circuit and the<br />

computer. The discharge polarity can be<br />

switched by simply reversing the direction of the<br />

HT diode connected in series between the HT<br />

transformer output and the discharge tube. This<br />

setup allows the voltage to sweep between zero<br />

and the transformer peak output voltage during<br />

each cycle lasting 1/50 sec. Such relatively fast<br />

measurements result in less external and internal<br />

effects.<br />

275


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 274-280, 2011<br />

The voltage sampling is carried out through<br />

100:1 R1 and R2 resistors potential divider<br />

connected across the HT transformer primary.<br />

This divider ensures that the maximum value of<br />

the voltage sample used for data acquisition not<br />

to exceed one volt. Current sampling is made by<br />

a series resistor R connected to the fixed<br />

electrode. Here again, the value of the resistor is<br />

chosen such that the peak voltage across this<br />

resistor is always less than one volt. These one<br />

volt limits are dictated by the fact that computer<br />

sound card used as our data acquisition analog to<br />

digital converter device has a maximum input<br />

voltage rating of one volt. The voltage and<br />

current data acquired by the sound card through<br />

the use of Matlab data acquisition tool box are<br />

calibrated using ordinary digital voltmeter and<br />

ammeter readings prior to operation. Calibration<br />

parameters are invoked into the Matlab software<br />

written for the purposes of both data acquisition<br />

and data presentation. The data sampling rate<br />

used is 8000 Hz. This means that over the entire<br />

voltage sweep between 0 and 60 kV, at 50 Hz,<br />

160 data points are acquired. This gives an<br />

average voltage data point’s separation of about<br />

375 volts. Such relatively small data spacing<br />

enabled us to perform more reliable fits to the<br />

data. The tube is flushed with nitrogen gas<br />

99.9% purity for five minutes before each run.<br />

Acquired data for each run are directly saved by<br />

the program on hard disc for further analysis.<br />

All measurements are made at room<br />

temperature (T=24-27◦C) and humidity of about<br />

(50-55 %) with different nitrogen pressure<br />

276<br />

RESULTS AND DISCUSSION<br />

Many investigations have been published to<br />

report the influence of several parameters such<br />

as pressure, temperature, type of electrode and<br />

nature of gas on the behavior of discharge (I-V)<br />

characteristic and their shifting in determination<br />

the Paschen curve and the first Townsend<br />

coefficient [Sharma A. and Sauli F. (1993)].<br />

In present work, the experimental data of the<br />

first Townsend coefficient α is calculated using<br />

equation (2). The current of the discharge is<br />

measured with a meter having a sensitivity of the<br />

order 10 -12 A. One plate is kept at ground<br />

potential while the amplification field is<br />

provided by HV on another Plate. The drift field<br />

is kept constant during the measurements. The<br />

discharge current is measured and after<br />

subtraction of the leakage current (current before<br />

breakdown) the value of current at no gain Io is<br />

determined. As the applied voltage goes up, one<br />

gets into the multiplication region, the ratio of<br />

the two current is the absolute gain (equation 3).<br />

As well known breakdown appears at a certain<br />

amount of charge, the breakdown voltage is<br />

decreased, the current is measured again at the<br />

same field for normalization and the<br />

measurement is continued. With the geometry<br />

described above, the electric field intensity E<br />

was calculated as a function of the distance<br />

between the plate electrodes as E (d) =V/d<br />

[Raizer Y. P. (1991)].<br />

The electric field in the chamber is maximal<br />

on the surface of the cathode and decreases<br />

rapidly, as d-1 toward the anode. Due to the<br />

electric field between the electrodes, the charges<br />

quickly gain energy between collisions. If the<br />

total energy of an electron or an ion becomes<br />

higher than the ionization potential of the gas<br />

atoms, it can ionize an atom, thus creating<br />

another charge pair.<br />

The experimental data are exposed by means<br />

of the ionization coefficient per the working<br />

pressure P, (α/P), as a function of reduced<br />

electric field, (E/P), for a fixed value of applied<br />

voltage V between the electrodes. Accordingly,<br />

the influence of the working pressure expresses<br />

the effect of (α/P) versus (E/P) variation in<br />

different gap separation as shown in figure (2).<br />

The variation of the first Townsend coefficient α<br />

is attributed to the ion mean free path length λ in<br />

the ionization region and drift region which in<br />

turn have a significant consideration of the<br />

working pressure and electrode gap separation<br />

[Drakoulakos D. G. (1997)].


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 274-280, 2011<br />

/P (cm -1 Torr -1 )<br />

/P (cm -1 Torr -1 )<br />

0.0012<br />

0.001<br />

0.0008<br />

0.0006<br />

0.0004<br />

0.0002<br />

0<br />

0 2 4 6 8 10 12 14 16 18 20 22 24<br />

E/P (V cm -1 Torr -1 )<br />

P=760 Torr<br />

d= 5 cm<br />

d= 10 cm<br />

d= 15 cm<br />

d= 20 cm<br />

d= 25 cm<br />

d= 30 cm<br />

d= 35 cm<br />

d= 40 cm<br />

Fig. (2): Measured (α/P) versus (E/P) curves for various working pressure P and different<br />

electrode gap separation d.<br />

Paschen curve coefficients A and B are<br />

derived from the exponential fitting of equation<br />

(5) by means of the experimental data of α.<br />

Figure (3) shows the behavior of the Paschen<br />

coefficients with electrode gap separation at<br />

different gas pressures. As the pressure goes up,<br />

A and B increase, thus producing a lower<br />

ionization rate close the cathode. Consequently,<br />

the current generated by the discharge decreased<br />

[Shuping Z., Bruyndonckx P., Goldberg M. and<br />

Tavernier S. (1994),]. It is found that the<br />

calculated Paschen coefficients, A and B, are<br />

good first estimates for the experimentally<br />

A (cm -1 Torr -1 )<br />

0.0007<br />

0.0006<br />

0.0005<br />

0.0004<br />

0.0003<br />

0.0002<br />

0.0001<br />

0<br />

0 2 4 6 8 10 12 14 16 18<br />

0.0018<br />

0.0016<br />

0.0014<br />

0.0012<br />

0.001<br />

0.0008<br />

0.0006<br />

0.0004<br />

0.0002<br />

E/P (V cm -1 Torr -1 )<br />

P1=760 Torr<br />

P2=1140 Torr<br />

P3=1520 Torr<br />

P4=1900 Torr<br />

P=1520 Torr<br />

d= 5 cm<br />

d=10 cm<br />

d=15 cm<br />

d=20 cm<br />

d=25 cm<br />

d=30 cm<br />

d=35 cm<br />

d=40 cm<br />

0<br />

0 5 10 15 20 25 30 35 40 45<br />

Electrodes Seperation d (cm)<br />

0<br />

0 2 4 6 8 10 12 14 16 18<br />

obtained Paschen coefficients as found in<br />

literature.<br />

An important consideration while choosing<br />

filling gas for a proportional chamber is the<br />

maximum attainable gain or multiplication<br />

factor. In the uniform field, the Townsend<br />

coefficient becomes a function of electrode gap<br />

separation. In that case the multiplication factor<br />

for an electron that drifts from point d1 to d2 can<br />

be calculated from [Burm K. T. A. L. (2007)]:<br />

� �<br />

� ��<br />

�<br />

��<br />

��<br />

2 d<br />

G exp �(<br />

x)<br />

dx<br />

d1<br />

………………. (7)<br />

Fig. (3): Paschen curve coefficients A and B versus electrode gap separation d at various working pressure P.<br />

/P(V cm -1 Torr -1 )<br />

B (V cm -1 Torr -1 )<br />

/P (cm -1 Torr -1 )<br />

0.0009<br />

0.0008<br />

0.0007<br />

0.0006<br />

0.0005<br />

0.0004<br />

0.0003<br />

0.0002<br />

0.0001<br />

0.0006<br />

0.0005<br />

0.0004<br />

0.0003<br />

0.0002<br />

0.0001<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

E/P (V cm -1 Torr -1 )<br />

0<br />

0 2 4 6 8 10 12<br />

E/P (V cm -1 Torr -1 )<br />

P1=760 Torr<br />

P2=1140 Torr<br />

P3=1520 Torr<br />

P=1140 Torr<br />

d= 5 cm<br />

d= 10 cm<br />

d= 15 cm<br />

d= 20 cm<br />

d=25 cm<br />

d=30 cm<br />

d= 35 cm<br />

d=40 cm<br />

P=1900 Torr<br />

d=5 cm<br />

d=10 cm<br />

d=15 cm<br />

d=20 cm<br />

d=25 cm<br />

d=30 cm<br />

d=35 cm<br />

d=40 cm<br />

P4=1900 Torr<br />

0<br />

0 5 10 15 20 25 30 35 40 45<br />

Electrodes Seperation d (cm)<br />

277


Gain (%)<br />

Gain (%)<br />

J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 274-280, 2011<br />

Hence if it desires to compute the<br />

multiplication factor, the spatial profile of the<br />

first Townsend coefficient should be known.<br />

Although it is quite challenging to determine this<br />

profile analytically, it has been shown that the<br />

reduced Townsend coefficient has a dependence<br />

on the reduced electric field intensity (equation<br />

5). The multiplication factor (gain) that achieved<br />

in the present work for the N2 chamber and<br />

parallel plate geometry is expressed in figure (4).<br />

The experimental results showed a maximum<br />

gain is achieved at the short electrode gap<br />

160<br />

120<br />

80<br />

40<br />

278<br />

P=760 Torr<br />

0<br />

0 100 200 300 400 500 600<br />

160<br />

120<br />

80<br />

40<br />

0<br />

d= 10 cm<br />

d= 20 cm<br />

d= 30 cm<br />

d= 40 cm<br />

P=1520 Torr<br />

Applied Voltage (V)<br />

d=10 cm<br />

d=20 cm<br />

d=30 cm<br />

d=40 cm<br />

0 100 200 300 400 500 600<br />

Applied Voltage (V)<br />

separation and high pressure. However it is<br />

desired to achieve higher gain before the<br />

breakdown that is before the onset of multiple<br />

avalanches caused by a single primary<br />

avalanche. When the voltage is raised to high<br />

values to increase the gain, the free electrons can<br />

get enough energy to cause multiple avalanches.<br />

Therefore one must ensure that the active<br />

volume gets continuously depleted of these low<br />

energy free electrons [Rossnagel S. M., Guomo J.<br />

J., Westwood W. D. (1990)].<br />

Fig. (4): Gain in N2 chamber operated at different working pressure and various electrodes gap separations.<br />

The large number of ions created during the<br />

avalanche drifts much slower than the electrons<br />

and therefore takes longer to reach the cathode.<br />

When these heavy positive charges strike the<br />

cathode wall, they can release more ions from<br />

the cathode material into the gas. The efficiency<br />

γ of this process is generally less than 10%. At<br />

moderate voltages, γ is not high enough to make<br />

significant increase in charge population<br />

[Drakoulakos D. G. (1997) and Ahmed S. N.<br />

(2007)]. A best fitting curve and high R2 value<br />

in this study is obtained at γ=0.025 which is<br />

chosen arbitrary. However at higher voltages the<br />

secondary ion emission probability increases,<br />

deteriorating the linearity of the output pulse<br />

with applied voltage. Further voltage increase<br />

Gain (%)<br />

Gain (%)<br />

160<br />

120<br />

80<br />

40<br />

P=1140 Torr<br />

d=10 cm<br />

d=20 cm<br />

d=30 cm<br />

d=40 cm<br />

0<br />

0 100 200 300 400 500 600<br />

160<br />

140<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

P=1900 Torr<br />

d=10 cm<br />

d=20 cm<br />

d=30 cm<br />

d=40 cm<br />

Applied Voltage (V)<br />

0<br />

0 100 200 300 400 500 600<br />

Applied Voltage (V)<br />

may start discharge in the gas. At this point the<br />

current goes to very high values and is limited<br />

only by the external circuitry, that is, the height<br />

of the pulse becomes independent of the initial<br />

number of electron ion pairs. To understand the<br />

breakdown quantitatively, equation (6) is used<br />

with determined coefficients A, B and α to<br />

express the Paschen curve (Vbreakdown versus<br />

Pd) as shown in figure (5).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 274-280, 2011<br />

Fig. (5): Paschen curve for N2 gas enclosed between pin-to-plane electrodes separated by distance d. The gas<br />

pressure is P and the second Townsend coefficient has been arbitrarily chosen to be 0.025.<br />

CONCLUSION<br />

The present work reflects the well-known<br />

fact that the function α /P = f (E/P) is saturated at<br />

a high reduced electric field. At a high reduced<br />

electric field, where drifting electrons have large<br />

energy and scatter mostly in the forward<br />

direction, the first Townsend coefficient should<br />

almost entirely depend on the electron mean free<br />

path. It is experimentally demonstrated that gas<br />

gain in parallel plate chamber at different<br />

working pressure becomes higher at the short<br />

electrode gap separations of the same applied<br />

voltage. It is found that the calculated Paschen<br />

coefficients, A and B, are good first estimates<br />

for the experimentally obtained Paschen<br />

coefficients as found in literature. The<br />

parameters A and B are mainly determined by<br />

fitting the experimental data of the first<br />

Townsend coefficient.<br />

REFERENCES<br />

� Ahmed S. N. (2007). Physics and Engineering of<br />

Radiation Detection. (Elsevier: UK).<br />

� Burm K. T. A. L. (2007), Calculation of the Townsend<br />

Discharge Coefficients and the Paschen Curve<br />

Coefficients. Contrib, Plasma Phys, 47, 177–182.<br />

� Drakoulakos D. G. (1997), The Townsend Coefficient<br />

and Optimization of the Gas Gain in MDT-Muon<br />

Chambers, Atlas Internal Note, No-140. 1-21.<br />

� Lieberman M. A., and Lichtenberg A. J. (2005),<br />

Principles of Plasma Discharge and Material<br />

Processing, Second Edition, (New Jersey: Wiley).<br />

� Raizer Y. P. (1991), Gas Discharge Physics, (Springer-<br />

Verlag: Germany).<br />

� Rossnagel S. M., Guomo J. J., Westwood W. D. (1990),<br />

Handbook of Plasma Processing Technology, (New<br />

Jersey: Noyes).<br />

� Sharma A. and Sauli F. (1993), First Townsend<br />

Coefficient Measured in Argon based Mixture at<br />

High Field, Cern-PPE/93-50.<br />

� Shuping Z., Bruyndonckx P., Goldberg M. and Tavernier<br />

S. (1994), A measurement of the First Townsend<br />

Coefficient as a Function of the Electric Field for a<br />

TMAE-He Mixture, IEEE TRANSACTIONS ON<br />

NUCLEAR SCIENCE. 41, 2671.<br />

279


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 274-280, 2011<br />

280<br />

ازاط امزلاث انركلاتةب وب ىكَيئ َىي نوسنوات ىكلوكفةهو َىنشاث نَيفرَيك انانيهرةد وب ىكيتكارث اكةندناوخ<br />

ىنيجوترَين<br />

وب ىكَيئ َىي نوسنوات ىكلوكفةهو<br />

َىنشاث نَيفرَيك انانيهرةد وب نرك ةتاه ىكيتكارث اكةندناوخ َىنيلوكةظ َىظ ل<br />

نَيي ىكيتكارث نَيتاد ايناوتب تنيد ةنتاه َىنشاث نَيفرَيك<br />

ةتخوث<br />

. بيرةتفةه نَيرةسموج انانيئراكب ىنيجوترَين ازاط امزلاث<br />

اسيسورث َىدنه ىةرارةس . زاويج نَييتاريدو وتسيبةلاث نيدنةج وب نترطرةو ةنتاه اتاد . َىكَيئ نَيي ىنوسنوات َىكلوكفةه<br />

. ىتسخكَير ابةراك َىراوب انانيئراكب تنيد هنتاه ىانيئراكب ازاط نَيتفةكسةد<br />

نيجورتنلا زاغ امزلاب غيرفتل يلولاا نوسنوات لماعمو نشاب تاينحنم داجيلا ةيبيرجت ةسارد<br />

نيجورتينلا زاغ امزلاب غيرفتل<br />

نشاب تاينحنمو يلولاا نوسنوات لماعم داجيلا يبيرجت لمع زاجنا ةساردلا هذه يف مت<br />

ةيبيرجتلا تانايبلل ةيسوا ةمئلام للاخ نم نشاب تاينحنم داجيا مت<br />

طوغض دنع تبستكا لمعلا اذه يف ةيبيرجتلا تانايبلا<br />

انركنزةم<br />

ةصلاخلا<br />

. ةيزاوتم حاولا ةئيه ىلع باطقا مادختساب<br />

. يلولاا نوسنوات تلاماعمل يمزلابلا غيرفتلا نم ةصلختسملا<br />

مدختسملا زاغلا حبرل ميخضت ةيلمع نا , كلذ ىلا ةفاضلااب . ةيزاوتلا باطقلال ةفلتخم تافاسمو<br />

نيجورتنلا زاغل ةفلتخم<br />

.<br />

مظتنملا يئابرهكلا لاجملا يف دجوا دق


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 281-289, 2011<br />

NUMERICAL SOLUTION OF GRAY-SCOTT<br />

MODEL BY A.D.M. AND F.D.M.<br />

SAAD A. MANAA and CHULLY M. R.<br />

Faculty of Science, University of Zakho, Kurdistan Region - Iraq<br />

(Received: March 7, 2011; Accepted for publication: September 20, 2011)<br />

ABSTRACT<br />

In this paper, Gray-Scott model has been solved numerically for finding an approximate solution by Adomain<br />

decomposition method and Finite difference method. Example showed that Adomain decomposition method is much<br />

faster and effective for this kind of problems than Finite difference method.<br />

M<br />

INTRODUCTION<br />

any physical, chemical and engineering<br />

problems mathematically can be<br />

modeled in the form of system of partial<br />

differential equations or system of ordinary<br />

differential equations. Finding the exact solution<br />

for the above problems which involve partial<br />

differential equations is difficult in some cases.<br />

Here we have to find the numerical solution of<br />

these problems using computers which came<br />

into existence. [8]<br />

In [7] a linear adaptive control strategy was<br />

applied to the Gray-Scott model in order to<br />

control the formation of patterns in a onedimensional<br />

domain, while an experimental<br />

application of linear modal feedback control for<br />

suppressing chaotic temporal fluctuation of<br />

spatiotemporal thermal pattern on a catalytic<br />

wafer was reported in [3].<br />

MATHEMATICAL MODEL:<br />

A general class of nonlinear-diffusion system<br />

is in the form<br />

�u<br />

� d1�u<br />

� a1u<br />

� b1v<br />

� f ( u,<br />

v)<br />

� g1(<br />

x)<br />

�t<br />

�v<br />

� d2�v<br />

� a2u<br />

� b2v<br />

� f ( u,<br />

v)<br />

� g2<br />

( x)<br />

�t<br />

with homogenous Dirchlet or Neumann<br />

boundary condition on a bounded domain Ω ,<br />

n≤3, with locally Lipschitz continuous boundary.<br />

It is well known that reaction and diffusion of<br />

chemical or biochemical species can produce a<br />

variety of spatial patterns. This class of reaction<br />

diffusion systems includes some significant<br />

pattern formation equations arising from the<br />

modeling of kinetics of chemical or biochemical<br />

reactions and from the biological pattern<br />

formation theory.<br />

In this group, the following four systems are<br />

typically important and serve as mathematical<br />

models in physical chemistry and in biology:<br />

a. Brusselator model:<br />

where a and b are positive constants.<br />

b. Gray-Scott model:<br />

where F and k are positive constants. [9]<br />

c. Glycolysis model:<br />

d. Schnackenberg model:<br />

[9]<br />

Then one obtains the following system of two<br />

nonlinearly coupled reaction-diffusion<br />

equations,<br />

�u<br />

2<br />

� d1<br />

�u<br />

� ( F � k)<br />

u � u v , t �0<br />

�t<br />

x ��<br />

�v<br />

2<br />

� d1<br />

�v<br />

� F(<br />

1�<br />

v)<br />

� u v , t �0<br />

�t<br />

x ��<br />

(1)<br />

Where the boundary condition<br />

And the initial condition<br />

�u<br />

�v<br />

� � 0<br />

�x<br />

�x<br />

.<br />

172


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 281-289, 2011<br />

Where d 1 , d2,<br />

F and k<br />

constants [9].<br />

are positive<br />

Most chemical reactions can present rich<br />

phenomena in vessels, such as chemical<br />

oscillations, periodic doubling, chemical waves,<br />

and chaos. Analysis of forced nonlinear<br />

oscillations plays an important role in<br />

understanding their dynamical phenomena of<br />

electronic generators, mechanical, chemical and<br />

biological systems. Even small external<br />

disturbances are likely to change behaviors of<br />

dynamical systems [6].<br />

171<br />

Finite difference methods are found to be<br />

discrete technique, when in the domain of point<br />

interest is represented by a set of points or nodes<br />

and information between these points is<br />

commonly obtained using Taylor series<br />

expansions [4].<br />

The finite difference Scheme, generally<br />

reduces a linear, nonlinear partial differential<br />

equations into system of linear , nonlinear<br />

equations and various methods were developed<br />

to find the numerical solution and acceleration<br />

the convergence [5].<br />

FINITE DIFFERENCE APPROXIMATIONS [5]<br />

The grid spacing is uniform in every row: p�1� p � x � x �h<br />

), and it is uniform<br />

in every column: 1<br />

�u<br />

ui,<br />

j�1<br />

� ui,<br />

j<br />

�<br />

�t<br />

�t<br />

�v<br />

vi,<br />

j�1<br />

� vi,<br />

j<br />

�<br />

�t<br />

�t<br />

2<br />

� u ui�1,<br />

j � 2ui,<br />

j � u<br />

� 2<br />

2<br />

�x<br />

( �x)<br />

x x h and ( �1 tq��tq �k<br />

and ( tq�1�tq �k<br />

).<br />

i�1,<br />

j<br />

2<br />

� v vi�1,<br />

j � 2vi,<br />

j � vi�1,<br />

j<br />

� 2<br />

2<br />

�x<br />

( �x)<br />

Then the system ( 1 ) can be written as:<br />

ui,<br />

j�1<br />

� ui,<br />

j ui�1,<br />

j � 2ui,<br />

j � ui�1,<br />

j<br />

� d1<br />

� ( F � k)<br />

u<br />

2<br />

�t<br />

( �x)<br />

v<br />

u<br />

v<br />

i,<br />

j�1<br />

i,<br />

j�1<br />

i,<br />

j�1<br />

� v<br />

�t<br />

� u<br />

i,<br />

j<br />

i,<br />

j<br />

i,<br />

j<br />

� ( u<br />

d2�t<br />

� vi,<br />

j � [ v 2 i�1,<br />

j<br />

( �x)<br />

� 2vi,<br />

j � vi�1,<br />

j ] � �tF<br />

( 1�<br />

v<br />

d1�t<br />

r1<br />

�<br />

( �x)<br />

d2�t<br />

and r2<br />

� then 2<br />

( �x)<br />

Let 2<br />

u<br />

v<br />

u<br />

v<br />

u<br />

v<br />

i,<br />

j�1<br />

i,<br />

j�1<br />

i,<br />

j�1<br />

i,<br />

j�1<br />

i,<br />

j�1<br />

i,<br />

j�1<br />

� u<br />

� v<br />

� v<br />

i,<br />

j<br />

i,<br />

j<br />

� u<br />

i,<br />

j<br />

i,<br />

j<br />

)<br />

2<br />

i,<br />

j<br />

vi�1,<br />

j � 2vi,<br />

j � vi�1,<br />

j<br />

� d2<br />

� F(<br />

1�<br />

vi,<br />

j ) � ( u )<br />

2<br />

( �x)<br />

d1�t<br />

� [ ui<br />

1,<br />

j 2ui,<br />

j ui<br />

1,<br />

j ] t(<br />

F k)<br />

u<br />

2 � � � � � � �<br />

( �x)<br />

� r [ u<br />

1<br />

� r [ v<br />

2<br />

� ru<br />

� r v<br />

i�1,<br />

j<br />

i�1,<br />

j<br />

1 i�1,<br />

j<br />

2 i�1,<br />

j<br />

� 2u<br />

� 2v<br />

i,<br />

j<br />

i,<br />

j<br />

� 2ru<br />

1 i,<br />

j<br />

� 2r<br />

v<br />

2 i,<br />

j<br />

� u<br />

� v<br />

� [ 1�<br />

2r<br />

� �t(<br />

F � k)]<br />

u<br />

1<br />

i�1,<br />

j<br />

i�1,<br />

j<br />

� ru<br />

� r v<br />

i,<br />

j<br />

� �tF<br />

�[<br />

1�<br />

2r<br />

� �tF<br />

] v<br />

For j=1, 2, 3… and i=2, 3, 4,….<br />

And by boundary conditions<br />

2<br />

i,<br />

j<br />

] � �t(<br />

F � k)<br />

u<br />

] � �tF<br />

( 1�<br />

v<br />

1 i�1,<br />

j<br />

2 i�1,<br />

j<br />

� r [ u<br />

1<br />

� r [ v<br />

2<br />

i,<br />

j<br />

i,<br />

j<br />

� �t(<br />

F � k)<br />

u<br />

� �tF<br />

� �tFv<br />

i�1,<br />

j<br />

i�1,<br />

j<br />

� u<br />

� v<br />

i�1,<br />

j<br />

i�1,<br />

j<br />

2<br />

i,<br />

j<br />

i,<br />

j<br />

i,<br />

j<br />

v<br />

) � �t(<br />

u<br />

v<br />

i,<br />

j<br />

i,<br />

j<br />

� �t(<br />

u<br />

) � �t(<br />

u<br />

� �t(<br />

u<br />

i,<br />

j<br />

i,<br />

j<br />

] � �t(<br />

u<br />

2<br />

i,<br />

j<br />

)<br />

2<br />

i,<br />

j<br />

� �t(<br />

u<br />

� �t(<br />

u<br />

] � �t(<br />

u<br />

)<br />

2<br />

i,<br />

j<br />

2<br />

i,<br />

j<br />

)<br />

2<br />

i,<br />

j<br />

)<br />

v<br />

v<br />

i,<br />

j<br />

)<br />

2<br />

i,<br />

j<br />

)<br />

)<br />

2<br />

i,<br />

j<br />

v<br />

2<br />

i,<br />

j<br />

i,<br />

j<br />

v<br />

i,<br />

j<br />

i,<br />

j<br />

v<br />

)<br />

v<br />

i,<br />

j<br />

v<br />

i,<br />

j<br />

p p<br />

v<br />

i,<br />

j<br />

i,<br />

j


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 281-289, 2011<br />

�u<br />

ui,<br />

j � u<br />

�<br />

�x<br />

�x<br />

u � u<br />

i�1,<br />

j<br />

�u<br />

1,<br />

j<br />

i�1,<br />

j<br />

�u<br />

11,<br />

j<br />

i,<br />

j<br />

� u<br />

2,<br />

j<br />

i,<br />

j<br />

� u<br />

10,<br />

j<br />

i�1,<br />

j<br />

And<br />

�u<br />

ui�1,<br />

j � u<br />

�<br />

�x<br />

�x<br />

u � u<br />

And also for v<br />

�v<br />

vi,<br />

j � vi�<br />

�<br />

�x<br />

�x<br />

v � v<br />

i�1,<br />

j<br />

�v<br />

1,<br />

j<br />

i�1,<br />

j<br />

�v<br />

11,<br />

j<br />

i,<br />

j<br />

� v<br />

2,<br />

j<br />

And<br />

�v<br />

vi�1,<br />

j � v<br />

�<br />

�x<br />

�x<br />

v � v<br />

u<br />

v<br />

1,<br />

1<br />

1,<br />

1<br />

i,<br />

j<br />

� v<br />

10,<br />

j<br />

i,<br />

j<br />

1,<br />

j<br />

i,<br />

j<br />

� 0<br />

� 0<br />

� 0<br />

� 0<br />

By initial condition:<br />

� u � u � u � u<br />

� v<br />

2,<br />

1<br />

2,<br />

1<br />

� v<br />

3,<br />

1<br />

3,<br />

1<br />

� v<br />

4,<br />

1<br />

4,<br />

1<br />

� v<br />

5,<br />

1<br />

5,<br />

1<br />

We define the operator [1]<br />

� u<br />

� v<br />

6,<br />

1<br />

6,<br />

1<br />

� u<br />

� v<br />

7,<br />

1<br />

7,<br />

1<br />

� u<br />

� v<br />

8,<br />

1<br />

8,<br />

1<br />

� u<br />

� v<br />

9,<br />

1<br />

9,<br />

1<br />

� u<br />

� v<br />

10,<br />

1<br />

10,<br />

1<br />

� u<br />

� v<br />

11,<br />

1<br />

11,<br />

1<br />

� u ( x)<br />

0<br />

0<br />

� v ( x)<br />

ADOMAIN DECOMPOSITION METHOD<br />

L t<br />

�<br />

�1<br />

� � Lt<br />

�<br />

�t<br />

�<br />

system (1) can be written as:<br />

2<br />

a) Ltu � d1<br />

Lxxu<br />

� ( F � k)<br />

u � u v}….<br />

(2)<br />

2<br />

b) v � d L v � F(<br />

1�<br />

v)<br />

� u v<br />

Lt 2 xx<br />

t<br />

2<br />

(.) dt and Lxx 2<br />

0<br />

�<br />

� then<br />

�x<br />

By applying the inverse of operator L t on a system (2) we get:<br />

�1<br />

�1<br />

�1<br />

2<br />

a) u( t,<br />

x)<br />

� u(<br />

0,<br />

x)<br />

� d1Lt<br />

( Lxxu)<br />

� ( F � k)<br />

Lt<br />

u � Lt<br />

( u v)<br />

�1<br />

�1<br />

�1<br />

2<br />

b) v( t,<br />

x)<br />

� v(<br />

0,<br />

x)<br />

� d2Lt<br />

( Lxxv)<br />

� FLt<br />

( 1�<br />

v)<br />

� Lt<br />

( u v)<br />

By initial conditions in system (1) then system (3) can be written as:<br />

�1<br />

�1<br />

�1<br />

2<br />

a) u( t,<br />

x)<br />

� u0(<br />

x)<br />

� d1Lt<br />

( Lxxu)<br />

� ( F � k)<br />

Lt<br />

u � Lt<br />

( u v)<br />

�1<br />

�1<br />

�1<br />

2<br />

b) v( t,<br />

x)<br />

� v0(<br />

x)<br />

� d2Lt<br />

( Lxxv)<br />

� FLt<br />

( 1�<br />

v)<br />

� Lt<br />

( u v)<br />

By using Adomian decomposition method:<br />

u ( t,<br />

x)<br />

u ( t,<br />

x)<br />

and � �<br />

}…. (3)<br />

}…. (4)<br />

v ( t,<br />

x)<br />

v ( t,<br />

x)<br />

�<br />

� �<br />

�<br />

n�0<br />

n<br />

�<br />

n�0<br />

�<br />

n<br />

�1<br />

�1<br />

�1<br />

a) �u<br />

n ( t,<br />

x)<br />

� u0<br />

( x)<br />

� d1Lt<br />

( Lxx�<br />

un<br />

) � ( F � k)<br />

Lt<br />

�un<br />

� Lt<br />

� An<br />

n�0<br />

n�0<br />

n�0<br />

n�0<br />

}…. (5)<br />

�<br />

�<br />

172


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 281-289, 2011<br />

�1<br />

�1<br />

�1<br />

b) �v<br />

n(<br />

t,<br />

x)<br />

� v0(<br />

x)<br />

� d2Lt<br />

( Lxx�<br />

vn)<br />

� FLt<br />

( 1�<br />

�vn<br />

) � Lt<br />

� B<br />

173<br />

�<br />

n�0<br />

�<br />

n�0<br />

Where n A and B n are Adomian polynomials.<br />

But n A = 2<br />

B n because both non-linear terms are u v<br />

Where<br />

A<br />

n<br />

n n 1 d � i �<br />

� ( )<br />

!<br />

�F<br />

��<br />

u<br />

n<br />

i<br />

n d�<br />

�<br />

� i�0<br />

�<br />

��0<br />

[2]<br />

n n n<br />

1 d � i i �<br />

But here An � ( , )<br />

!<br />

�F<br />

�� ui<br />

��<br />

vi<br />

�<br />

� because non-linear term have two functions u ( t,<br />

x)<br />

n<br />

n d � i�0<br />

i�0<br />

� ��0<br />

and v ( t,<br />

x)<br />

then by equation (5 a):<br />

u0<br />

� u0(<br />

x)<br />

… (6a)<br />

�1<br />

�1<br />

�1<br />

uk<br />

�1<br />

� d1Lt<br />

( Lxxuk<br />

) � ( F � k)<br />

Lt<br />

uk<br />

� Lt<br />

Ak<br />

where k � 0<br />

And by equation (5 b):<br />

v0<br />

� v0(<br />

x)<br />

…(6b)<br />

�1<br />

�1<br />

�1<br />

vk�1<br />

� d2Lt<br />

( Lxxvk<br />

) � FLt<br />

( 1�<br />

vk<br />

) � Lt<br />

Bk<br />

where k � 0<br />

0 0 0<br />

1 d � i<br />

i �<br />

A0<br />

� F(<br />

u , v )<br />

0<br />

i i<br />

0!<br />

d<br />

� �� ��<br />

�<br />

�<br />

� i�0 i�0<br />

�<br />

� F(<br />

u , v ) � u v<br />

0<br />

0<br />

0<br />

0<br />

2<br />

0<br />

0<br />

0<br />

2<br />

0<br />

2<br />

� ( u ( x))<br />

v ( x)<br />

� A<br />

� u<br />

k � 0<br />

u � d L<br />

1<br />

� d L<br />

�1<br />

1 t<br />

1<br />

�u<br />

1<br />

( L<br />

0<br />

v<br />

�1<br />

1 t<br />

( L<br />

by equation<br />

� [ d L<br />

1<br />

� B<br />

6<br />

Let : U1<br />

� d L<br />

1<br />

0<br />

u<br />

0<br />

0<br />

0<br />

0<br />

u ) � ( F � k)<br />

L u<br />

u ) � ( F � k)<br />

L u<br />

� ( F � k)<br />

u<br />

u<br />

0<br />

0<br />

�1<br />

t<br />

2<br />

0<br />

0<br />

�1<br />

t<br />

� d L u t � ( F � k)<br />

u t � u v t<br />

xx<br />

xx<br />

xx<br />

xx<br />

xx<br />

0<br />

0<br />

� ( F � k)<br />

u<br />

0<br />

0<br />

2<br />

0<br />

��0<br />

�1<br />

t<br />

� u v ] t<br />

0<br />

� u<br />

� L<br />

2<br />

0<br />

v<br />

... (7)<br />

�1<br />

t<br />

0<br />

2<br />

0<br />

A<br />

0<br />

� L ( u v )<br />

�u1<br />

� U1t<br />

By equation (6a , 6b) and An � B n<br />

v<br />

�1<br />

� d L ( L<br />

�1<br />

�1<br />

v ) � FL ( 1�<br />

v ) � L B<br />

1<br />

� d<br />

� d<br />

�v<br />

1<br />

Let : V1<br />

� d<br />

�v<br />

1<br />

2<br />

2<br />

L<br />

L<br />

2<br />

�1<br />

t<br />

xx<br />

t<br />

( L<br />

� [ d<br />

2<br />

v t � Ft � Fv t � u v t<br />

0<br />

2<br />

� V1t<br />

xx<br />

L<br />

�1<br />

�1<br />

2<br />

v ) � FL ( 1�<br />

v ) � L ( u v )<br />

xx<br />

2<br />

xx<br />

0<br />

v<br />

L<br />

0<br />

0<br />

xx<br />

� F � Fv<br />

v<br />

0<br />

t<br />

0<br />

t<br />

0<br />

0<br />

0<br />

� F � Fv<br />

2<br />

� u v ] t<br />

0<br />

0<br />

0<br />

0<br />

0<br />

� u<br />

t<br />

2<br />

0<br />

v<br />

0<br />

t<br />

0<br />

0<br />

0<br />

0<br />

... ( 8)<br />

… (9)<br />

�<br />

n�0<br />

�<br />

n�0<br />

n


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 281-289, 2011<br />

174<br />

)<br />

10<br />

(<br />

...<br />

]<br />

1<br />

1<br />

2<br />

[<br />

1<br />

)<br />

1<br />

(<br />

2<br />

2<br />

9<br />

8<br />

,<br />

6<br />

]<br />

2<br />

2<br />

[<br />

)]<br />

)(<br />

2<br />

[(<br />

)]<br />

(<br />

)<br />

[(<br />

)]<br />

,<br />

(<br />

[<br />

)<br />

,<br />

(<br />

!<br />

1<br />

1<br />

1<br />

2<br />

0<br />

0<br />

0<br />

1<br />

2<br />

0<br />

0<br />

0<br />

1<br />

2<br />

0<br />

0<br />

1<br />

0<br />

0<br />

1<br />

2<br />

1<br />

3<br />

1<br />

1<br />

0<br />

2<br />

1<br />

2<br />

0<br />

0<br />

2<br />

1<br />

2<br />

0<br />

1<br />

0<br />

0<br />

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J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 281-289, 2011<br />

NUMERICAL APPLICATION<br />

Example:<br />

�u<br />

2<br />

� d1<br />

�u<br />

� ( F � k)<br />

u � u v , t �0 x ��<br />

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�t<br />

U(x, 0) = Us + 0.01 sin(�x/ L) for 0 ≤x ≤ L<br />

V (x, 0) = Vs – 0.12 sin(�x/ L) for 0 ≤x ≤ L<br />

We will take<br />

d1=d2=0.01 , F= 0.09 , k=-0.004 , Us=0 , Vs=1<br />

We use MatLab 8 for finding the following tables and figures.<br />

Table:- (1) for ( V )<br />

t=0.2 t=0.3 t=0.4<br />

X<br />

AD Finite AD Finite AD Finite<br />

0 0.9998 1.0000 0.9996 1.0000 0.9994 1.0000<br />

0.1 1.0013 1.0014 1.0010 1.0014 1.0007 1.0013<br />

0.2 1.0026 1.0027 1.0022 1.0026 1.0018 1.0024<br />

0.3 1.0037 1.0039 1.0032 1.0035 1.0026 1.0032<br />

0.4 1.0046 1.0048 1.0039 1.0043 1.0031 1.0038<br />

0.5 1.0054 1.0055 1.0044 1.0048 1.0034 1.0041<br />

0.6 1.0059 1.0061 1.0048 1.0052 1.0036 1.0043<br />

0.7 1.0064 1.0065 1.0050 1.0054 1.0037 1.0044<br />

0.8 1.0066 1.0068 1.0052 1.0056 1.0037 1.0044<br />

0.9 1.0068 1.0070 1.0052 1.0056 1.0036 1.0044<br />

1.0 1.0068 1.0070 1.0053 1.0057 1.0036 1.0044<br />

1.1 1.0068 1.0070 1.0052 1.0056 1.0036 1.0044<br />

1.2 1.0066 1.0068 1.0052 1.0056 1.0037 1.0044<br />

1.3 1.0064 1.0065 1.0050 1.0054 1.0037 1.0044<br />

1.4 1.0059 1.0061 1.0048 1.0052 1.0036 1.0043<br />

1.5 1.0054 1.0055 1.0044 1.0048 1.0034 1.0041<br />

1.6 1.0046 1.0048 1.0039 1.0043 1.0031 1.0038<br />

1.7 1.0037 1.0039 1.0032 1.0035 1.0026 1.0032<br />

1.8 1.0026 1.0027 1.0022 1.0026 1.0018 1.0024<br />

1.9 1.0013 1.0014 1.0010 1.0014 1.0007 1.0013<br />

2.0 0.9998 1.0000 0.9996 1.0000 0.9994 1.0000<br />

Fig.:-(1) t=0.2 Fig.:-(2) t=0.3 Fig.:-(3) t=0.4<br />

176


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 281-289, 2011<br />

177<br />

Table:-( 2 ) for ( U )<br />

t=1 t=2 t=3<br />

X<br />

AD Finite AD Finite AD Finite<br />

0 0.0003 0 0.0012 0 0.0023 0<br />

0.1 -0.0162 -0.0163 -0.0134 -0.0139 -0.0108 -0.0119<br />

0.2 -0.0317 -0.0317 -0.0266 -0.0271 -0.0221 -0.0230<br />

0.3 -0.0459 -0.0461 -0.0384 -0.0390 -0.0316 -0.0331<br />

0.4 -0.0586 -0.0589 -0.0484 -0.0495 -0.0390 -0.0419<br />

0.5 -0.0697 -0.0700 -0.0568 -0.0585 -0.0444 -0.0493<br />

0.6 -0.0789 -0.0793 -0.0635 -0.0659 -0.0480 -0.0553<br />

0.7 -0.0861 -0.0867 -0.0685 -0.0716 -0.0502 -0.0600<br />

0.8 -0.0913 -0.0920 -0.0720 -0.0757 -0.0514 -0.0633<br />

0.9 -0.0945 -0.0952 -0.0741 -0.0782 -0.0520 -0.0653<br />

1.0 -0.0955 -0.0962 -0.0748 -0.0790 -0.0522 -0.0659<br />

1.1 -0.0945 -0.0952 -0.0742 -0.0782 -0.0523 -0.0653<br />

1.2 -0.0914 -0.0920 -0.0722 -0.0757 -0.0519 -0.0633<br />

1.3 -0.0861 -0.0867 -0.0687 -0.0716 -0.0509 -0.0600<br />

1.4 -0.0789 -0.0793 -0.0637 -0.0659 -0.0488 -0.0553<br />

1.5 -0.0697 -0.0700 -0.0570 -0.0585 -0.0451 -0.0493<br />

1.6 -0.0587 -0.0589 -0.0486 -0.0495 -0.0395 -0.0419<br />

1.7 -0.0459 -0.0461 -0.0385 -0.0390 -0.0319 -0.0331<br />

1.8 -0.0317 -0.0317 -0.0267 -0.0271 -0.0223 -0.0230<br />

1.9 -0.0162 -0.0163 -0.0134 -0.0139 -0.0108 -0.0119<br />

2.0 0.0003 -0.0000 0.0012 -0.0000 0.0023 -0.0000<br />

Fig.:-(4) t=1 Fig.:-(5) t=2 Fig.:-(6) t=3<br />

DISCUSSION OF TABLES AND FIGURES<br />

From the tables ( 1 - 2 ) and figures ( 1 – 6 ) it<br />

is clear that the ADM more faster, more accurate<br />

and more efficient for solving the Gray-Scott<br />

model.<br />

Conclusion: We saw that Adomain<br />

decomposition method is more accurate than<br />

finite difference method for solving Gray-Scott<br />

model especially when we increase t as shown in<br />

figure 1-6 and tables 1-2.<br />

REFERENCE<br />

- Adomian G., (1988), A Review of the Decomposition<br />

Method in Applied Mathematics, Cenfer for<br />

Applied Mathematics, University OJ Georgia,<br />

Athens, Georgia 30602 Submitted by George<br />

Adomian.<br />

- Adomian G., (1994), Solving frontier problems of<br />

physics: the decomposition method, Boston:<br />

Kluwer Academic Publishers.<br />

- Charkravarti S., Marek M., and Ray W.H., Phys. Rev. E<br />

52, 2407(1995).<br />

- Leon G. and George, F.D., (1982) “Numerical Solution of<br />

Partial Differential Equations In Science and<br />

Engineering" John Wiely and Sons, Inc., Canada.<br />

- Mathews, J. H. and Fink, K. D., (1999)" Numerical<br />

Methods Using Matlab", Prentice- Hall, Inc.<br />

- Mingjing Sun. Yuanshun Tan. Lansun Chen, 2007<br />

Dynamical behaviors of brusselator system with<br />

impulsive input J. Math Chem.<br />

- Petrov V., Metens S., Borckmans P., Dewel G. and Showalter<br />

K., Phys.Rev. Lett.75,2895 (1995)<br />

-Shanthakumar M., (1989), Computer Based Numerical<br />

Analysis , Khanna publisher, Neisaraic Delhi-<br />

110006 India.<br />

-Yuncheng You , (2007), Global Dynamics of the<br />

Brusselator Equations ,<br />

Dynamics of PDE, Vol.4, No.2, 167-196,.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 281-289, 2011<br />

FDM<br />

و<br />

ADM<br />

نَيكَير ب<br />

Gray-Scott<br />

َىمةتشيس وب ىيةرامذ انركراكيش<br />

ا ىن اَ ي ةنت ىس ة ب وىب ى ي ةراىمذ اك ةن رك راك ي ىش ي رك راك ي ىش ةىي ي اا Gray-Scott َى ىي<br />

وىب ةرىيتاو ةريتةىن ب<br />

FDM<br />

ةييبًا و<br />

ADM<br />

ADM<br />

FDM<br />

اىكَير وىك ووىب راىيدو<br />

و<br />

ADM<br />

FDM<br />

اىكَير و<br />

. سد َىنوونم د ةرايد اي ةظة و<br />

مادختساب<br />

Gray-Scott<br />

ةيبًا مادختيساب هيتًابتلا لييحلا دايدًج لإاًدديع<br />

ADM<br />

FDM<br />

َىمةتىشيس سد َىَينوكةىظ َىىظ د<br />

ةتخوث<br />

اىكَير اىناَي راك ب كيزين اكةراكؤيش<br />

اكَير ذ امةتشيس نَيروج ياظة انركراكيش<br />

ةموظنمل يددعلا لحلا<br />

Gray-Scott<br />

.<br />

لاثملا هف حضوم امكو FDM ةبًا نم لئاسملا نم عونلا الا لحل قدأو عاسأ<br />

ةصلاخلا<br />

ةيموظنم ليية ويم ليحتلا اليا هيف<br />

ADM<br />

ةبًا نا نيتمو<br />

178


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

290<br />

ANATOMICAL COMPARISON BETWEEN CISSUS REPENS, CAYRATIA<br />

JAPONICA (VITACEAE) AND LEEA AEQUATA (LEEACEAE)<br />

ABSTRACT<br />

CHNAR NAJMADDIN, KHATIJA HUSSIN, and HAJA MAIDEEN<br />

Dept. of Biology, School of Environmental and Resource Sciences, Faculty of Science and Technology,<br />

University of Kebangsaan – Malaysia<br />

(Received: March 10, 2011; Accepted for publication: September 28, 2011)<br />

This study was conducted to evaluate anatomical comparison between three species belonging to two families<br />

(Vitaceae and Leeaceae). Two genera of the family Vitaceae (Cissus repens and Cayratia japonica) and one species of<br />

Leeaceae family (Leea aequata) were investigated. Anatomically it has been shown that the shape of stem, petiole,<br />

midrib, margin and lamina were different. There were druses and raphid crystals in stem, petiole, midrib, margin of<br />

Cissus repens and Cayratia japonica, however, in Leea aequata there was only druses crystals, except in lamina of<br />

Cissus repens , Cayratia japonica and Leea aequata in which there were druses and raphide crystals. Leaf epidermis of<br />

Cissus repens, Cayratia japonica and Leea aequata were investigated by using light microscope and scanning electron<br />

microscope. The shapes of leaf epidermal cells were usually polygonal; the types of anticlinal walls are straight and<br />

arched. The stomatal apparatus presented on the both side of the leaf (abaxial and adaxial). Cissus repens and<br />

Cayratia japonica had different types of stomatal apparatus such as cyclocytic and paracytic, and Leea aequata had<br />

anisocytic type.<br />

KEY WORDS: Anatomy of Vitaceae, Leeaceae family, Cissus repens, Cayratia species, Leea species.<br />

V<br />

INTRODUCTION<br />

itaceae family includes woody<br />

climbers, sometimes vines, trees, and<br />

also involve shrubs and succulents (Timmons et<br />

al., 2007). Vitaceae leaves are simple, lobed or<br />

unlobed, or compound; 1-3 pinnately compound<br />

and alternate (Chen and Wen, 2007). Leaf<br />

opposed tendrils (Rossetto et al., 2002) with<br />

unarmed stems, and the inflorescence is panicles<br />

and corymbs (Lombardi, 2007 and Chen and<br />

Wen, 2007). The flowers are small regular and<br />

usually are bisexual (Rossetto, et al., 2001).<br />

Leeaceae includes shrubs, stem is unarmed,<br />

tendrils absent. The leaf is simple or compound;<br />

1-4 pinnate to trifoliate with stipular petiole.<br />

Inflorescence is paniculate, frequently<br />

corymbiform, terminal or axillary.<br />

Hermaphrodite flowers (Wen, 2007).<br />

The stomata are apertures in the epidermis,<br />

bounded by two guard cells. Their main function<br />

is to allow gases such as carbon dioxide, water<br />

vapours and oxygen to move rapidly into and out<br />

of the leaf (Perveen et al, 2007 and Tay and<br />

Furukawa, 2008). In the green leaves they occur<br />

either on both surfaces or on one only, either the<br />

upper surface or more commonly on the lower<br />

surface (Perveen et al, 2007). On the basis of<br />

arrangement of the epidermal cell neighbouring<br />

the guard cell, more than 25 main types of<br />

stomata in dicots have been recognized (Perveen<br />

et al, 2007).<br />

MATERIAL AND METHODS<br />

T. S. of stem, petiole, midrib, margin, lamina,<br />

and types of stomata were used to describe the<br />

anatomy of the various species. Plant materials<br />

of Cissus repens, Cayratia japonica and Leea<br />

aequata were collected from Malaysia forests.<br />

The stem, middle part of petioles, midrib, lamina<br />

and margins were embedded in polystyrene, and<br />

sectioned transversely on a sliding microtome<br />

(model Richard Jung-1972) or Microtome<br />

Reichert (model Leica Jung histolide 200).<br />

Transverse sections were cut at 20 µm thick,<br />

depending on the texture of the specimen.<br />

Sections were presoaked in (Clorox) for 5-15<br />

minutes to clear the tissues and getting white,<br />

and the sample sections were rinsed by distilled<br />

water 2-3 times and were steeped in Safranin<br />

solution for approximately 5 minutes, rinsed


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

with water, then stained for approximately 5-10<br />

minutes in Alcian blue, dehydrated in a series of<br />

alcohol concentrations starting from 50%, 70%,<br />

95% and 100% (approximately 2 minutes each),<br />

one or two drops of concentrated HCl<br />

(hydrochloric acid ) were added to 70%<br />

treatment to change the colour of leaves to<br />

purplish. Finally, the samples were mounted on<br />

microscope slides in Euparal as permanent<br />

medium, carefully covered with slide covers,<br />

and then kept in drying oven at 60°C for a week.<br />

Samples were observed and viewed with light<br />

microscope (Johansen, 1940 and Sass, 1958).<br />

Leaf samples were collected from various<br />

locations in Malaysia. Coated samples were<br />

viewed under Scanning Electron Microscope<br />

(SEM) operated in 10 to 15 Kv at various<br />

magnifications to obtain the best images.<br />

Normally 500 to 10,000 magnifications were<br />

used, and epidermal peels were prepared by<br />

mechanical scraping, samples were cut<br />

approximately 1cm², then the small parts were<br />

soaked in Jeffrey’ solution (10% nitric acid +<br />

10% chromic acid, 1:1) at room temperature for<br />

1-3 hours, sometimes for 1 day after the solution<br />

was diluted with distilled water, until the<br />

mesophyll tissue could be separated easily from<br />

both epidermis, stained, dehydrated and mounted<br />

in the same way. Samples were observed and<br />

viewed with light microscope.<br />

RESSULTS AND DISCUSSION<br />

The present study has shown anatomical<br />

differences between the two families (Vitaceae<br />

and Leeaceae). Leeaceae are most closely related<br />

to Vitaceae however most workers have now<br />

separated Leeaceae from Vitaceae (Wen 2007a).<br />

As revealed by the present study, the shape of<br />

the stem or twig in Cissus repens, Cayratia<br />

japonica and Leea aequata were different<br />

between species; the vascular bundle is closed<br />

and surrounded by fiber layer (sclerenchymatous<br />

tissue), secretory cells were present, raphid and<br />

druses crystals were also present, and in the<br />

cortex there was also a layer of collenchyma<br />

tissue. Collenchyma tissue is far from epidermal<br />

layer and continues as in Cissus repens. The<br />

wood of Vitaceae has simple, large rays, with<br />

vessel ray of parenchyma (Metcalfe, and Chalk,<br />

1950). The vessels were large in comparison<br />

with those in the close relatives in Leeaceae<br />

(Wen, 2007b) as in (Fig.1).<br />

291


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

Fig.1: A- Cissus repens stem showing vascular bundle (v), collenchyma tissue (small black arrow) (4X), B-<br />

Cayratia japonica stem showing vascular bundle, collenchyma tissue (small black arrow) (v), fiber (large white<br />

arrow), secretory cell (small white arrow) (4X),, C- raphid crystals (r) (40X), D- druses crystals (d) (40X), E-<br />

Leea aequata stem showing vascular bundle (v), collenchyma tissue (small black arrow) (4X), accessory<br />

vascular bundle (large black arrow) (4X), F- magnification of E show druses crystal (d), collenchyma tissue<br />

(small black arrow) (40X).<br />

292<br />

E<br />

A<br />

v<br />

r<br />

C D<br />

v<br />

B<br />

F<br />

v<br />

d<br />

d


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

The present investigation also revealed that the<br />

petiole of Cissus repens, Cayratia japonica and Leea<br />

aequata have different shapes depending on the<br />

species (Fig.2), the vascular bundle was closed and<br />

surrounded by fiber, with secretory cells (Tannins)<br />

which were specialized as parenchymatous cells and<br />

frequently observed beneath the epidermis. The<br />

raphides and druses crystals were present in<br />

parenchymatous cells and usually observed in the pith<br />

and under the epidermis. In Vitaceae this was<br />

characteristic of the family, while in the Leeaceae<br />

only druses crystals were observed. Collenchyma<br />

A<br />

C<br />

v c<br />

c<br />

tissues (angular collenchyma) were present in the<br />

petiole, they were usually occurred as wide bands<br />

below the epidermis, and in Cissus, collenchyma was<br />

little developed, however in other genera it was very<br />

conspicuous as in Petrisanthas, Tetrastigma, and<br />

Northoscissus, and in Cayratia, collenchyma reveals<br />

as isolated patches and this was particularly obvious<br />

in Cayratia japonica and Cayratia trifolia.<br />

Seclerenchyma tissues were easily observed as fibers;<br />

they had thick cell wall and small lumen (Latiff,<br />

1980).<br />

Fig.2: A- Cissus repens petiole showing vascular bundle (v), secretory cell (small black arrow), collenchyma<br />

tissue (c) (4X), B- Cayratia japonica petiole showing trichomes (large black arrow), secretory cell (small black<br />

arrow), vascular bundle (v) (4X), C- Magnification of B show the trichomes (large black arrow), secretory cell<br />

(small black arrow), collenchyma tissue (c) (10X). D-Leea aequata petiole showing vascular bundle (v),<br />

secretory cell (small black arrow), accessory vascular bundle (large white arrow) (4X).<br />

B<br />

D<br />

v<br />

v<br />

293


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

The present study has shown that the midrib of<br />

Cissus repens, Cayratia japonica and Leea aequata<br />

have the following characteristics: the outline of the<br />

adaxial surface was slightly humped, and the abaxial<br />

surface was arc shaped, and collenchyma was present<br />

294<br />

A<br />

v<br />

C<br />

v<br />

in both epidermal layers. The druses and raphide<br />

crystals were present in Vitaceae, but in Leeaceae,<br />

only druses crystals were present and there were a lot<br />

of vascular bundles (Fig.3).<br />

Fig.3: A- Cissus repens midrib showing vascular bundle (v), secretory cell (small black arrow) (4X), B-<br />

Cayratia japonica midrib trichomes (large black arrow), vascular bundle (v), secretory cell (arrow), secretory<br />

cell (small black arrow) (4X),, C- Leea aequata midrib show vascular bundle (v), secretory cell (small black<br />

arrow), accessory vascular bundle (large white arrow) (4X).<br />

B<br />

v


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

Figure (4) shows that Cissus repens, Cayratia<br />

japonica and Leea aequata mesophyll layer contains<br />

calcium oxalate (druses) crystals and mucilage cells<br />

or secretory cells with raphides inside the bundle<br />

(Metcalfe and Chalk, 1950). Druses idioblasts and<br />

raphide idioblasts present in inner layer of biseriate<br />

epidermis (Kannabiran and Pragasam 1994).<br />

Fig.4: A- Cissus repens Lamina showing trichomes (large black arrow), palisaid layer (pa), spongy layer (sp),<br />

upper epidermis (ue), lower epidermis (le), secretory cell (arrow) (4X), B- Cayratia japonica lamina show<br />

druses (small black arrow), raphid crystal (large white arrow) (4X), C- Leea aequata lamina show druses (small<br />

black arrow) (4X).<br />

The present study has also shown that the margin<br />

of Cissus repens, Cayratia japonica and Leea<br />

aequata there are straight with slightly curved<br />

inward, and the tip was rounded or tapering.<br />

Vascular bundle was present, fibers nil, secretory<br />

A<br />

A<br />

C<br />

C<br />

ue<br />

pa<br />

sp<br />

le<br />

cells, raphides and druses crystals were present,<br />

however trichomes were either present or absent. In<br />

Leea aequata the margin was slightly downwards and<br />

the tip was rounded or tapering. Fiber nil, secretory<br />

cells were present with no trichomes (Fig.5).<br />

Fig.5: A- Cissus repens margin showing raphid crystal (large white arrow) (10X), B- Cayratia japonica margin<br />

showing trichomes (large black arrow), secretory cell (small black arrow) (10X), C- Leea aequata margin show<br />

secretory cell (small black arrow) (10X).<br />

B<br />

B<br />

295


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

The stem, petiole, midrib, lamina and margin of<br />

Cissus repens, Cayratia japonica and Leea aequata<br />

have the following features: the outline of these<br />

sections in some species was smooth, however in<br />

some species trichomes were present which were<br />

either glandular secretory trichome or non glandular<br />

(normal hair) and commonly present and were very<br />

important for species determination. The trichome<br />

complement of a particular organ can consist entirely<br />

of unbranched or branched hairs (Lombardi 2007).<br />

The present study has shown that in Cissus repens<br />

and Leea aequata the outline is smooth, but in<br />

Cayratia japonica trichomes were present and also in<br />

some species of Leea rubra; the number of trichomes<br />

were different from one species to another. The<br />

trichomes were non glandular and unbranched as<br />

show in (Fig.1, 2, 3, 4).<br />

296<br />

Vitaceae leaf epidermal characteristics have been<br />

studied by Ren et.al, (2003), they used light and scan<br />

electron microscope, the shape of leaf epidermal cells<br />

were usually irregular or polygonal; the anticlinal<br />

walls are straight, arched. The present study has<br />

shown that the stomata types of Vitaceae leaf<br />

epidermis were paracytic (Fig.6, D, E, I) (Hui, et al,<br />

2003 and Kannabiran and Pragasam, 1994) The<br />

stomata usually present in abaxial epidermis,<br />

however in some species the stomata present in both<br />

sites of leaf epidermis (abaxial and adaxial) as in<br />

Cissus repens (Fig.6, A, D), and in Leeaceae the<br />

stomata were anomocytic (Fig.6, F, J) (Wen, 2007a).


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

A<br />

C<br />

E<br />

I<br />

G<br />

Fig.6: A-C, Adaxial (10X, 40X, 40X respectively). D-F, Abaxial (100X, 10X, 40X respectively), G-H, Adaxial<br />

SEM, I-K, Abaxial SEM. D-E-I, Paracytic. F-J, Anomocyte SEM.<br />

B<br />

D<br />

F<br />

H<br />

J<br />

297


J. Duhok Univ., Vol. 14, No.1 (Pure and Eng. Sciences), Pp 290-298, 2011<br />

298<br />

ACKNOLODGEMENT<br />

I would like to express my gratitude and<br />

sincere thanks to my supervisors, my thanks to<br />

Anatomical lab. staffs. and Scanning Electron<br />

microscope staffs. We grateful thank the<br />

University Kebangsaan Malaysia for financial<br />

support via FRGS grant UKM-ST-08-<br />

FRGS0013-2009.<br />

REFERENCE<br />

- Chen, Z. and Wen, J. (2007). Leeaceae. Published by<br />

Science press (Beijing) and Missouri Botanical<br />

Garden press, Flora of china, Vol. 12, p: 115-169.<br />

- Chen, Z., Ren, H. and Wen, J. (2007). Vitceae. Published<br />

by Science press (Beijing) and Missouri Botanical<br />

Garden press, Flora of china, Vol. 12, p:<br />

33,115,173.<br />

- Hui, R., Kai-Yu, P., Zhi-Duan, C., and Ren-Qing, W.<br />

(2003). Structural characters of leaf epidermis and<br />

their systematic significance in Vitaceae. Acta<br />

Phytotaxonomica Sinica, 41 (6): 531-544.<br />

- Johansen, D.A. (1940). Plant microtechnique. New<br />

Yourk: MC Graw,Hill.<br />

- Kannabiran, B. and Pragasam, A. (1994). Foliar epidermal<br />

features of Vitaceae and taxonomic position of<br />

Leea. Journal of India Botanical Society. Vol. 73:<br />

81-87.<br />

- Lombardi, J. A. (2007). Systematic of Vitaceae in South<br />

America. Can. Jou. Bot., 85, p: 712- 721.<br />

- Metcalfe, C.R., and Chalk, L. (1950). Anatomy of the<br />

dicotyledons. Clarendon Press, Oxford. Vol. 2: 413-<br />

419.<br />

CAYRATIA JAPONICA (VITACEAE) LEEA<br />

،<br />

- Rossetto, M., Jackes, B.R., Scott, K.D., and Henry, R.J.<br />

(2001). Intergeneric relationships in the Australian<br />

Vitaceae: new evidence from cpDNA analysis.<br />

Genetic Resources and Crop Evolution, Vol. 48, p:<br />

307-314.<br />

- Rossetto, M., Jackes, B.R., Scott, K.D., and Henry, R.J.<br />

(2002). Is the Genus Cissus (Vitaceae)<br />

Monophylatic? Evidence from Plastid and Nuclear<br />

Ribosomal DNA. Systematic Botany, Vol. 27 (3),<br />

P: 522-533.<br />

- Perveen, A., Abid, R., and Fatima,R. (2007). Stomatal<br />

types of some dicots within flora of Karachi,<br />

Pakistan. Pak. J. Bot., 39(4): 1017-1023.<br />

- Sass, J.E. (1958). Botanical microtechnique. 3 rd edition.<br />

Ames: lowa state university.<br />

- Tay, A., and Furukawa,A. (2008). Variations in leaf<br />

stomata density and distribution of 53 Vine species<br />

in Japan. Plant species Biology 23, 2-8.<br />

- Timmons, S.A., Posluszny, U. and Gerrath, J.M. (2007).<br />

Morphological and anatomical development in the<br />

Vitaceae. X. Comparative ontogeny and<br />

phylogenetic implications of Cissus quadrangularis<br />

L. Can. J. Bot., Vol.85: 860-872.<br />

- Wen, J. (2007b) The Families and Genera of Vascular<br />

Plants; Leeaceae. Leeaceae Dumortier, Anal. Fam.<br />

Pl.: 27 (1829), nom. Cons. Springer- verlag Berlin<br />

Heidelberg Vol.9. p. 221- 225.<br />

- Wen, J. (2007a) The Families and Genera of Vascular<br />

Plants: Vitaceae. Vitaceae Juss, Gen. Pl.: 267<br />

(1789), nom. Cons. Springer- verlag Berlin<br />

Heidelberg Vol.9. p. 467-479.<br />

CISSUS REPENS<br />

AEQUATA (LEEACEAE) و<br />

وود . Leeaceae, Vitaceae ينلامةهب وودرةي ارةةبظاند ىراكيوت انركدروارةب وبذ ىاد مانجةئ<br />

كامةشهب ذ ذةروشج و ) Cayratia japonica, Cissus repens(<br />

ىذوةشئ Vitaceae<br />

ارةبظاند ىراكيوت اكنركدروارةب<br />

ةتخوث<br />

ةيتاي ةهيلوكةظ ظةئ<br />

ىاشهتئراكب كامةشهبذ ذشظن<br />

, ىكلةب اكيتسب , ىدةق ىويش<br />

د ىووبرايد ىظةي ذةوةن اديراكيوت اهيلوكةظد . Leea aequata ىذوئ ) Leeaceae(<br />

ايةر,<br />

ىطلةب اكيتسب , دةقد تنيد ةهتاي ىايزرةد و رَيتس َىروج ذ وَيلاتسيرك<br />

. ىطلةب وَيظَيل , ىكلةب اهتسارةظان ايةر<br />

ذ وَيلاتشسيرك و , اد Cissus repens , Cayratia japonica ىاشنظن وودرةشي اشي ىطلةب وَيظتَيل , ىطلةب اتسارةظان<br />

Leea aequata ,<br />

اشي اد ىطلةشب اكيتشسب دوشك ىشلب ذ<br />

Leea aequata َىرَوشجد َىهتبةشهتيد<br />

ةهتاي ىارَيتس ىروج<br />

. تنيد ةهيتاي ىزرةد و رَيتس َىرؤج ذ وَيلاتسيرك وك<br />

َىكةوَينب , ىنوتركيلةئ اينوبريوي و َىييانور اهيوبريوي اناهيئراكب ىرك ةهتاي ىانظن ىاظ َىشوثوور رةسل ينلوك ةظ<br />

Cayratiajaponica , Cissus repens<br />

َىهيلوكةشظ , ىوب تسارد ىاناخ وَيواتسةو وَيراويد , Polyglonal َىروج ذ ىطلةب ىشؤثوور وَيناخ َىرؤج ىتنط<br />

وَيَىشسانةي وَيةشلينةد Vitaceae كامةهب , ةنةي ىاطلةب وَيي ىهب<br />

و ىرةس وَييك وودرةله َىساهي وَيلَينةد وك ركرايد<br />

anisocytic َىروشج ذ َىشسانةي َىشيلَينةدLeeaceae<br />

كامةشهب و<br />

parocytic , cyclocgtic<br />

ذةو ةشنةي روشج واروج<br />

.<br />

ىووبةي


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 299-306, 2011<br />

EFFECTS OF ACETAMIPRID AND GLYPHOSATE PESTICIDES ON<br />

TESTIS AND SERUM TESTOSTERONE LEVEL IN MALE MICE<br />

MAHMOUD AHMED CHAWSHEEN<br />

Dept. of General Sciences, School of Basic Education, Faculty of Education,University of Soran, Kurdistan Region-Iraq<br />

(Received: March 29, 2011; Accepted for publication: September 21, 2011)<br />

ABSTRACT<br />

This research is carried out to evaluate the potential toxicity of the acetamiprid and glyphosate pesticides<br />

individually and in combination through studying histology of testis, diameters and thicknesses of seminiferous<br />

tubules and serum testosterone levels in male albino mice. The study was conducted on thirty five male mice<br />

distributed randomly into seven groups. The first group served as control group, received tap water. The second and<br />

the third groups received 0.16 ml/L and 0.22 ml/L of acetamiprid, respectively. The fourth group received 3.125 ml/L<br />

of glyphosate, and the fifth group received 4.166 mg/L of glyphosate as well. Group six received combination of equal<br />

volumes of 0.16 ml/L acetamiprid and 3.125 ml/L glyphosate. Group seven received a combination of equal volumes of<br />

0.22 ml/L acetamiprid and 4.166 ml/L glyphosate. The pesticides were applied in mice drinking water for a period of<br />

four weeks. The separate tested doses of acetamiprid and glyphosate pesticides induced alterations in serum<br />

testosterone levels. The alterations that were caused by acetamiprid were in expected manner, the adverse effects were<br />

increased by increasing the exposure doses. While for glyphosate the results were different by the fact that the second<br />

dose of glyphosate caused significant increase in comparison with the first one. Histological examinations showed that<br />

the alterations in architecture of seminiferous tubules, their diameters and thicknesses, caused by both pesticides<br />

separately, were increased by increasing the exposure doses. Regard the combinations of the two pesticides,<br />

histological sections revealed severe changes in both combinations especially in group seven, while serum testosterone<br />

showed that the first combination did not cause significant changes in comparison with both pesticides, and the second<br />

combination caused significant changes in comparison with acetamiprid alone. It can be concluded from this study<br />

that acetamiprid and glyphoste are responsible for the alterations in serum testosterone, diameters and thicknesses<br />

of the seminiferous tubules, and combinations of both pesticides have synergistic effects on testis histology in<br />

male albino mice.<br />

KEYWORDS: Acetampird, Glyphosate, Toxicity, Testosterone, Seminiferous Tubules<br />

W<br />

INTRODUCTION<br />

ith the increasing demand for food<br />

production as a result of dramatic<br />

increases in human population, a large number<br />

of chemical substances have been used either for<br />

increasing or maintaining the productivity of<br />

agricultural farm lands (Cooper and Dobson,<br />

2007; Erisman et. al., 2008). Meanwhile many<br />

of these chemical substances cause<br />

environmental and health related problems. For<br />

this reason researchers around the world try to<br />

evaluate the potential toxicity of these chemicals<br />

and their impact on public health. Among much<br />

used chemicals in agricultural activities are<br />

pesticides (Hock et al., 1991; USDA, 2005). In<br />

this study we focus on acetamiprid insecticide<br />

and glyphosate herbicide as they have been used<br />

in large quantities by farmers in Erbil city.<br />

Indiscriminate use of both pesticides find their<br />

way into the food chain, eventually reaching<br />

human or domestic animals.<br />

Acetamiprid ((E)-N1-[(6-chloro-3-pyridyl)<br />

methyl]-N2- cyano-N1-methylacetamidine) is a<br />

neonicotinoid insecticides with a systemic effect<br />

(Tomizawa and Yamamoto, 1993; Anderson et<br />

al., 2005; Chiyozo, 2008). It has been widely<br />

used since the 1990s as an alternative for<br />

organophosphorus, organochlorine, and<br />

pyrethroid compounds (Elzen, 2001; Grafton-<br />

Cardwell and Gu, 2003; Kovganko and<br />

Kashkan, 2004). Acetamiprid is effective against<br />

piercing-sucking insects like: Hemiptera,<br />

Thyasnoptera and Lepidoptera. These insects are<br />

found on various crops such as leafy vegetables,<br />

citrus fruits, pome fruits, grapes, cotton, cole<br />

crops, and ornamental plants (Mateu-Sánchez et<br />

al., 2003; Tomizawa and Casida, 2005).<br />

Acetamiprid targeting nicotinic acetylcholine<br />

receptor (nAChR) and by the persistence at the<br />

binding sites of nAChR will lead to overstimulation<br />

of cholinergic synapses eventually<br />

causing hyperexcitation and paralysis of the<br />

insect (Tomizawa and Casida, 2003; Matsuda et<br />

al., 2005; Yu, 2008).<br />

Glyphosate [N-(phosphonomethyl) glycine]<br />

is a post-emergence, non-selective, broadspectrum,<br />

systemic herbicide (Hetherington et<br />

al., 1999; Alibhai and Stallings, 2001; Roberts et<br />

al., 2002). It has been marketed since 1974 and<br />

299


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 299-306, 2011<br />

it is still largely used around the world with an<br />

effective role against a broad range of plants<br />

including annual and perennial grasses and<br />

broadleaves, it also plays an important role in<br />

farm production practices in maintaining weed<br />

control (Hetherington et al., 1999; Williams et<br />

al., 2000; Solomon et al., 2007). Glyphosate is<br />

absorbed through foliage and translocated<br />

throughout plants. Glyphosate inhibits plant<br />

growth through interference with the production<br />

of essential aromatic amino acids and phenolic<br />

compounds that are necessary for plant growth<br />

and development (Steinrucken and Amrhein,<br />

1980; Alibhai and Stallings, 2001).<br />

In spite of many researches that were<br />

undertaken on both pesticides (acetamiprid and<br />

glyphosate) separately or with other chemicals,<br />

there was no information available on their<br />

toxicity to male reproductive system when they<br />

introduced as a mixture or in combination. This<br />

research is carried out to evaluate the potential<br />

toxicity of acetamiprid and glyphosate pesticides<br />

individually and in combination through<br />

studying the alterations in histology of testis and<br />

serum testosterone levels in male albino mice.<br />

MATERIALS AND METHODS<br />

The Tested Pesticides<br />

The two tested pesticides, acetamiprid and<br />

glyphosate, were purchased from agricultural<br />

market in Erbil. Acetamiprid concentration in<br />

the bottle was 20%. As labeled on the bottle,<br />

preparation for field uses was instructed to be<br />

70-120ml /20 L of water. While glyphosate<br />

concentration in the bottle was 48%, a label on<br />

the bottle instructed not to be mixed with<br />

other solutions.<br />

Experimental Animals<br />

Male albino mice weighing 28 – 30 gm, 12<br />

weeks of age, were provided by Animal House<br />

at Department of Biology, College of Science,<br />

University of Salahaddin-Erbil. They were fed<br />

standard mouse diet. The mice were housed in<br />

an average room temperature of 24C ₀ ±2 with<br />

light, alternate 12hr light/dark cycles, during the<br />

study period of four weeks.<br />

Experimental Design<br />

Thirty five male albino mice were distributed<br />

randomly to seven groups (n=5); the first group<br />

served as control, received tap water. The second<br />

group received 0.16 ml/L acetamiprid, equals<br />

50% of LD50 of acetamiprid which is 200mg/kg<br />

for male mice (Yamamoto and Casida, 1999).<br />

The third group received 0.22 ml/L acetamiprid,<br />

75% of LD50 of acetamiprid. The fourth and the<br />

300<br />

fifth groups received doses of 3.125 ml/L, and<br />

4.166 mg/L of glyphosate, respectively, that is<br />

50% and 75% of LD50 of glyphosate, which is<br />

10000 mg/kg in mice (U.S. National Library of<br />

Medicine, 1995), correspondingly . Group six<br />

received combination of 0.16 ml/L acetamiprid<br />

and 3.125 ml/L glyphosate. Group seven<br />

received a combination of 0.22 ml/L acetamiprid<br />

and 4.166 mL/L glyphosate together. The<br />

pesticides were applied in mice drinking water<br />

for a period of four weeks.<br />

Sample Collection<br />

After completion of the experiment period,<br />

animals were anesthetized (ketamine<br />

hydrochloride 100mg/ kg body weight) then<br />

blood samples were collected from the mice by<br />

cardiac puncture, and samples of testis were<br />

removed from the anesthetized animals.<br />

Histological Analysis<br />

After their removal, testes were immediately<br />

fixed in Bouin′s fluid for 24 hours (Benson et<br />

al., 2001), then they were dehydrated through<br />

ascending concentrations of ethanol (70%, 95%,<br />

and 100%), cleared in xylol, followed by<br />

infiltration and then embedded in paraffin wax.<br />

Four micrometer thick paraffin sections were<br />

stained by haematoxylin and eosin (Prophet et<br />

al., 1992). All slides were analyzed by light<br />

microscope. Seminiferous tubules diameter and<br />

thickness were measured in micrometers by<br />

using stage micrometer under magnification<br />

power 400X.<br />

Estimation of Serum Testosterone<br />

Serum testosterone level was measured using<br />

Testosterone Enzyme Immunoassay Test Kit<br />

(Biocheck Inc, Made in USA, BC-1115).<br />

STATISTICAL ANALYSIS<br />

All data were expressed as means ± standard<br />

error of mean (M±SE) and statistical analysis<br />

was carried out using SPSS version 16.0. Oneway<br />

analysis of variance (ANOVA) was<br />

performed to test the significance followed by<br />

Duncan’s multiple range comparison tests for<br />

comparisons between the groups. P values


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 299-306, 2011<br />

serum testosterone level in mice of group 3<br />

showed significant decrease in comparison with<br />

mice treated with 0.16 ml/L acetamiprid (Group<br />

2). Mice treated with 4.166 ml/L glyphosate<br />

(Group 5) showed significant difference in<br />

comparison with mice treated with 3.125 ml/L<br />

glyphoste (Group 4). Group 6, combination of<br />

0.16 ml/L acetamiprid and 3.125ml/L<br />

glyphosate, did not show significant difference<br />

in comparison with group 4 and group 2. Group<br />

7, combination of 0.22 ml/L acetamiprid and<br />

4.166 ml/L glyphosate, showed significant<br />

difference in comparison with group 3, while no<br />

significant difference was observed in<br />

comparison with group 5, as shown in Table (1).<br />

Histological Analysis<br />

Measured seminiferous tubules diameter of<br />

the mice from control group showed significant<br />

differences in comparison with groups 2, 3 and<br />

5, while no significant differences were observed<br />

between control group and other remaining<br />

groups. Group 3 showed significant difference in<br />

comparison with group 2. Group 5 showed<br />

significant difference in comparison with group<br />

4. Group 6 showed significant differences in<br />

comparison with group 2. Group 7 showed<br />

significant difference in comparison with groups<br />

3 and 5. Meanwhile, results from the measured<br />

seminiferous tubules thickness showed<br />

significant differences between control group<br />

and groups 2, 4, and 5, while no significant<br />

differences were observed in comparison with<br />

the other groups. On the other hand, group 3<br />

showed significant difference in comparison<br />

with group 2.<br />

Table (1): Effects of acetamprid and glyphosate pesticides individually and in combination on serum<br />

testosterone, seminiferous tubule diameter and seminiferous tubules thickness of the treated mice (Mean ±SE)<br />

Groups Treatments Mean ±SE of Serum<br />

Testosterone(ng/ml)<br />

Mean ±SE of<br />

Seminiferous Tubule<br />

Diameter(µm)<br />

Mean ±SE of<br />

Seminiferous Tubule<br />

Thickness(µm)<br />

Group 1 0 ml/L 1.0398±0.0031 bcd 186.25±5.68 b 44.69±2.33 b<br />

Group 2 0.16 ml/L Acetamprid 1.0497±0.0012 cd 156.11±5.19 a 32.78±1.92 a<br />

Group 3 0.22 ml/L Acetamprid 1.0009±0.0095 a 226.94±11.67 c 50.00±3.65 b<br />

Group 4 3.125 ml/L Glyphosate 1.0079±0.0051 ab 203.33±10.89 bc 59.86±2.25 cd<br />

Group 5 4.166 ml/L Glyphosate 1.0561±0.0197 d 270.18±15.49 d 68.57±5.30 d<br />

Group 6 (0.16 ml/L +3.125ml/L)<br />

Acetamprid+Glyphosate<br />

Group 7 (0.22 ml/L+4.166 ml/L)<br />

Acetamprid+Glyphosate<br />

1.0192±0.0124 abc 201.71±9.01 bc 53.68±2.64 bc<br />

1.0349±0.0091 bcd 178.19±12.30 ab 51.81±3.65 bc<br />

Different letters indicate significant differences at p


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 299-306, 2011<br />

Fig( 1_:- Photomicrographs of sections of mice testis H&E 400X, A: normal testis (control), showing<br />

spermatogonia (thick arrow), spermatocytes (long arrows), spermatids (short arrow), flagella (triangle), and<br />

lumen (aster); B: Group 2, showing slight degeneration in the germ layers of seminiferous tubules (ST) with<br />

slight dilation of the lumen; C: Group 3, showing more obvious changes in lumen and germ layers of ST ; D:<br />

Group 4, showing degeneration and space formation in the germ layers of ST with dilation of the lumen and<br />

degeneration in the connective tissue between ST ; E: Group 5, showing sever degeneration and space formation<br />

in the germ layers of ST with clear dilation of the lumen of these tubules also less spermatocytes could be seen;<br />

F: Group 6, showing depletion in the germ layers of ST with dilation of the lumen and degeneration of the<br />

connective tissue between ST; G: Group 7, showing dramatic depletion in the germ layers of ST in which<br />

spermatogonia is hardly seen, vacuolization of these layers, and degeneration of connective tissue between ST<br />

302<br />

B C<br />

D<br />

F G<br />

A<br />

E


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 299-306, 2011<br />

DISCUSSION<br />

Separate tested doses of acetamiprid and<br />

glyphosate pesticides induced alterations in<br />

serum testosterone levels. The alterations that<br />

caused by acetamiprid were in expected manner,<br />

the adverse effects were increased by increasing<br />

the exposure doses. While for glyphosate the<br />

results were different by which the second dose<br />

of glyphosate caused significant increase in<br />

comparison with the first one. Histological<br />

examinations showed that the alterations in<br />

architecture of seminiferous tubules, their<br />

diameters and thicknesses, caused by both<br />

pesticides separately were increased by<br />

increasing the exposure doses.<br />

In regard to the combinations of the two<br />

pesticides, histological sections revealed severe<br />

changes in both combinations especially in the<br />

second one, while serum testosterone, diameters<br />

and thicknesses of seminiferous tubules were not<br />

in the same manner. Serum testosterone showed<br />

that the first combination did not cause<br />

significant changes in comparison with both<br />

pesticides; while the second combination caused<br />

significant change, in comparison with<br />

acetamiprid alone. For seminiferous tubules<br />

diameter, the first combination of pesticides<br />

caused significant changes in comparison with<br />

acetamiprid alone, while the second combination<br />

of pesticides caused significant changes in<br />

comparison with both pesticides. And for<br />

seminiferous tubules thickness, the first<br />

combination caused significant changes in<br />

comparison with acetamiprid alone, while the<br />

second combination caused significant changes<br />

in comparison with glyphoste alone.<br />

Previous researches showed that some<br />

insecticides, including the neonicotinoids, inhibit<br />

the non-specific esterase activity in leydig cells<br />

that, in turn, result in reduced testosterone<br />

production (Chapin et al., 1990; Bustos and<br />

González, 2003). Testosterone, through<br />

modulation of P-mod-S in the peritubular cells,<br />

could affect sertoli cell function (Kackar et al.,<br />

1999; Stanfield and Germann, 2008). Any<br />

malfunction in sertoli cells eventually may lead<br />

to degeneration in germinal cells of seminiferous<br />

tubules (Saiyed et al., 2003). Also it has been<br />

reported that structural changes in major<br />

endocrine glands, including testis,were<br />

associated with the exposure to glyphosate.<br />

Dallegrave et al. (2007) and Romano et al.<br />

(2009) reported some pathological changes in<br />

the testis of male rats including: elongated<br />

spermatid, vacuolization and degeneration of<br />

seminiferous tubules germ layers, and increase<br />

in seminiferous tubules diameter after exposure<br />

to glyophosate. Most of the above come in<br />

agreement with our results.<br />

On the other hand, it’s well documented that<br />

both acetamiprid and glyphoste inducing<br />

oxidative stress in vivo (in bacteria, fishes, rats,<br />

and human) (Peixoto, 2005; Yao et al., 2006;<br />

Mishchuk and Stoliar, 2008; El-Shenawy, 2009;<br />

Najafi et al., 2010). Oxidative stress leads to<br />

generation of reactive oxygen species (ROS) that<br />

affect both the antioxidant levels and the activity<br />

of the scavenging enzyme system. Excessive<br />

ROS can compromise cellular integrity through<br />

oxidative damage of lipids, proteins and<br />

deoxyribonucleic acid (DNA) (El-Shenawy,<br />

2009; Astiz et al., 2009) as a consequence<br />

cellular injury, necrosis, inflammation and<br />

degeneration of the tissues may take place<br />

(Schonherr, 2002; Kumar et al., 2007; Duzguner<br />

and Erdogan, 2010). According to this,<br />

acetamiprid and glyophosate may separately<br />

exert oxidative stress through production of<br />

ROS, and more clearly if these compounds are<br />

introduced in combination.<br />

It can be concluded from this study that<br />

acetamiprid and glyphoste are responsible for<br />

the alterations in serum testosterone, diameters<br />

and thicknesses of the seminiferous tubules, and<br />

combinations of both pesticides have synergistic<br />

effects on testis histology, in male albino mice.<br />

ACKNOWLEDGMENT<br />

I would like to thank all who helped me to<br />

complete this work, especially, Dr. Falah<br />

Mohammed Aziz, Hedy Ahmed Chawsheen,<br />

Zana Rafiq Majeed, and Ahmed Abdul-Qader.<br />

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ىجس يرَين يكشم ةل ىؤيرتسؤتسَيت ىتسائ و ىوط رةسةل تَيسَوفيلاط و درجيماتيسةئ يرةطيراك<br />

و درجيماتيسةئ ،ىاكةرةكِرق<br />

ةدام ةل وود ىواريةذ<br />

ىاناوت ىندناطنةسلةي ىتسةبةم ةب ةواردمانجةئةيةوةهيَلَوكَيل<br />

ؤت ىروتسةئ و ةيرت ،ىوط<br />

ىناكةييةناش<br />

ةيراكنارؤط ىةوةهيلؤكَيل<br />

ىاطَير ةل ةوةكَيث و اًنةت ةب<br />

اردهَيي راكةب كشم خهَيث و ىيس<br />

ةيةوةندركيقات مةل . ىجس يرَين يكشم ةل مةيرس ىنؤيرتسؤتسَيت<br />

ةتخوث<br />

مةئ<br />

،تَيسَوفيلاط<br />

ىتسائ و ،ىاكةكضيرؤب<br />

َىس و مةوود ىثورط . ةواردَيث ى ةعوولةب يوائ ةلؤترنؤك ةك مةكةي يثورط . ثورط توةح رةس ةنووبارك شةباد ةك<br />

3.125 ml/L مةحهَيث<br />

و مةراوض ىثورط<br />

3.125<br />

4.166 mg/L<br />

. كةي ياودةب ،ووب<br />

اردَيث<br />

ىاي درجيماتيسةئ ةل<br />

0.22 ml/L<br />

و<br />

0.16 ml/L<br />

و درجيماتيسةئ 0.16 ml/L ةل كةيةَلةكَيت مةشةش ىثورط . كةي ىاودةب ،َييوبارد<br />

ىايتَيسَوفيلاط 4.166 mg/Lو<br />

و<br />

. ةتفةي راوض ىةوامَوب<br />

درجيماتيسةئ<br />

0.22 ml/L<br />

ةل كةيةَلةكَيت مةتوةح ىثورطو<br />

ىاكةكشم ىةوةندراوخ ىوائ وانةنارخةد<br />

ىؤي ؤب درجيماتيسةئ . ىؤيرتسؤتسَيت ىتسائ ةل ىراكناِرؤط<br />

مَلاةب<br />

. ةوةكَيث<br />

ىاكةرةكِرق ةدام<br />

ىَيوبارد<br />

ىايتَيسَوفيلاط<br />

. ةوةكَيث<br />

مةي<br />

ml/L<br />

, َىوبارد<br />

ىايتَيسَوفيلاط<br />

ىؤي ةنوب ،اًنةت ةب ، ةكةرةكِرق ةدام وود رةي ادمانجةئةل<br />

. ةكرةرةكِرق ةدام ىِرب<br />

ىنووبدايز ةب ىووبةد رتايز ىاكةيراكنِرؤط ةك كَيزاوَيش ةب ىراكناِرؤط ىنادوِر<br />

ىندركدايز ىؤي ةووب ةرةكِرق ةدام مةئ ىمةوود ىتيةث ةك ادمانجةئ ىؤخ ىرةطيراك زاويج ىكَيزاوَيش ةب<br />

ىاكةييةناش<br />

ةوةهيلؤكَيل<br />

،ىاكةلةكَيت<br />

ىمانجةئ<br />

ىةرابرةد<br />

. ادمةكةي ىتيةث لةطةل ىدركدروارةب ةب<br />

ىاكةرةكِرق ةدام ىةلةكَيت ىندركَيلراك<br />

ىةرابرةد و ادمةتوةح<br />

ىثورط ةل ىتةبياتةب تسخرةد ىايدنوت<br />

ىؤيرتسؤتسَيت<br />

تَيسَوفيلاط<br />

ىتسائ<br />

رؤز يراكنارؤط<br />

ىدركدروارةب ةب تسةضرةب ىراكناِرؤط ىندركتسورد ىؤي ةووب ةن مةكةي ىةَلةكَيت ،ىؤيرتسؤتسَيت ىتسائ<br />

ىراكناِرؤط ىندركتسورد ىؤي ةووب مةوود ىةَلةكَيت ادتاك ىامةي ةل<br />

اًنةتةب<br />

رةسةل<br />

ىاكةرةكِرقةدام<br />

وودرةي لةطةل<br />

و درجيماتيسةئ ةك َىهَيةطةد ةوةئ ةكةوةهيَلَوكَيل ىمانجةئرةد . اًنةت ةب درجيماتيسةئ لةط ةل ىندركدروارةب ةب تسةضرةب<br />

ةيرت ،ىةناش<br />

ىةتاًكَيث و ادمةيرس<br />

ةل<br />

ىؤيرتسؤتسَيت ىتسائ ةل ةوادنايوِر ةك ىةنايراكناِرؤط وةل وسرثرةب تَيسَوفيلاط<br />

ىنووبدايز ىراكؤي ةنووب ةكةرةكِرق ةدام وودرةي ىةَلةكَيت و ىجس يرَين يكشم ىنوط ،ىاكةكضيرؤب ؤت ىروتسةئ و<br />

.<br />

ةنايراكناِرؤط مةئ<br />

305


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 299-306, 2011<br />

306<br />

ضيبلا نارئف روكذ يف لصملا نوريتسوتسيت ىوتسم و ىصخلا ىلع تيسوفيلاغ دربماتيسا نيديبملاريثأت<br />

للاخ نم جيزمك و ةدح ىلع لك ،تيسوفيلاغ<br />

و دربماتيسا ،تاديبملا نم نينثا ةيمس مييقتل ثحبلا اذه ءارجا<br />

مت<br />

ةصلاخلا<br />

تيرجا . ضيبلا نارئف روكذ<br />

يف لصملا نوريتسوتسيت ىوتسم و ،ةيونملا تابيبنلا كمس و رطق ،ىصخل<br />

ةيجيسن ةسارد<br />

ةعومجم يه ىلولاا ةعومجملا<br />

ىلع ،دربماتيسا<br />

ةعومجملا اما<br />

نم<br />

0.22 ml/L<br />

. تاعومجم عبس<br />

ىلع ةعزوم ضيبلا<br />

و<br />

0.16 ml/L<br />

. يلاوتلا ىلع،تيسوفيلاغ<br />

نم 4.166 mg/Lو<br />

تيطعا ةعباسلا ةعومجملاو . تيسوفيلاغ<br />

روكذلا<br />

نارئفلا نم<br />

نوثلاث<br />

و ةسمخ ىلع ةبرجتلا<br />

نم عرج اتيطعا ةثلاثلاو ةيناثلا ةعومجملا . ةيفنحلا ءام تيطعا ةرطيسلا<br />

3.125 ml/L<br />

ةدمل نارئفلا برشلا ءام ىلا تاديبملا ةفاضا مت . تيسوفيلاغ<br />

. لصملا<br />

نوريتسوتسيت ىوتسم يف<br />

تيسوفيلاغ اهتببس يتلا تاريغتلا<br />

،نيديبملا<br />

يجيزمب قلعتي اميف و . ىلولاا<br />

تاريغت ثودح<br />

نا نيح يف<br />

و<br />

ىلا تدا<br />

3.125 ml/L<br />

دربماتيسا 0.16 ml/L<br />

نم<br />

،ةدح<br />

ىلع<br />

4.166 mg/L<br />

لك<br />

. تاعرجلا زيكرت<br />

ا ةدايزب تدازا<br />

نوريتسوتسيت ىوتسم جئاتن تنيب نيح يف ،ةعباسلا<br />

ةعومجملا<br />

يف<br />

تاريغت<br />

تثدحا<br />

يناثلا جيزملا<br />

اتببس ،تيسوفيلاغ و دربماتيسا ،نيديبملا نأب<br />

نارئفلا روكذ ىصخل<br />

اتيطعا ةسماخلاو ةعبارلا ةعومجملا<br />

. يلاوتلا<br />

نم لك نم جيزم تيطعا دقف ةسداسلا<br />

و دربماتيسا<br />

،نيديبملا<br />

نأب<br />

نم 0.22 ml/L<br />

جئاتنلا تنيب<br />

دربماتيسا اهتببس ىتلا<br />

نم جيزم<br />

. عيباسا ةعبرا<br />

تاريغتلا نا ثيح<br />

ةعرجلاب ةناقم ًايونعم ًاعافترا تببس ةيناثلا ةعرجلا نا ثيح ةفلتخم ةروصب تناك<br />

ةصاخ ةداح تاريغت ثودح ةيجيسنلا ةساردلا تنيب<br />

امأ ةدح ىلع لك نيديبملاب ةنراقم ةيونعم تاريغت ثدحي مل لولاا جيزملا نأب<br />

ثحبلا اذاه نم جتنتسن نا نكمي . طقف<br />

،ةيونملا تابيبنلا كمس و رطق ،يجيسنلا<br />

بيكرتلا<br />

و<br />

لصملا<br />

دربماتيسا ديبملاب ةنراقم ةيونعم<br />

لصملا نوريتسوتسيت ىوتسم<br />

.<br />

تاريغتلا هذه ةدح نم تدادزا<br />

يف<br />

تاريغت<br />

نيديبملا جزم نأ و ضيبلا


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

PMINIMAL BLOCKING SETS IN PG(2,7) AND LOWER BOUNDS<br />

OF THE SIXTH AND SEVENTH BLOCKING SETS.<br />

ABSTRACT<br />

CHINAR A. KAREEM<br />

Dept. of Math., Faculty of Education, University of Zakho, Kurdistan Region-Iraq<br />

(Received: April 30, 2011; Accepted for publication: August 14, 2011)<br />

In this paper the minimal blocking sets of size 13 in PG(2,7) is classified we find an example of minimal blocking<br />

sets of size 13 with at most 5-secant and the existence of the minimal blocking sets of Rédei-type of size 13 is<br />

proved some important properties of the blocking set of size 13 in PG(2,7) is given. Also we find the lower bounds of<br />

sixth and seventh blocking sets in PG(2,16).<br />

KEYWORDS: blocking set, minimal blocking set, n-arc, Projective plane, affine plane.<br />

B<br />

INTRODUCTION<br />

locking sets were first studied in details<br />

in 1969 by Di Paola [10], who<br />

determined the minimum size of a non trivial<br />

blocking set in the projective planes of orders 4,<br />

5, 7, 8 and 9. They were originally defined as a<br />

game theory problem in [16]. A survey of<br />

blocking sets in projective planes can be found<br />

in [4]. Double blocking sets were first studied<br />

by Bruen in 1986 [6], properties of triple<br />

blocking sets of type (3, n) derived by de<br />

Resmini in 1987 [8]. Hill in [12] provided<br />

examples of triple blocking sets of size 4q -1 for<br />

q even and 4q for q odd.<br />

In a finite projective plane of order q, where<br />

q is the number of the elements of the Galois<br />

field a t- blocking set is a set of points such that<br />

each line contains at least t point of B and some<br />

line contains exactly t points of B [5]. A t –<br />

blocking set B is minimal or irreducible when no<br />

proper subset of it is a t – blocking set. In<br />

particular when t = 1 then B is called a blocking<br />

set. The name blocking set was originated in<br />

Game theory, Richardson[17], was the first one<br />

to look at larger planes, he showed that the<br />

minimal size of a blocking set in PG( 2,3) is 6,<br />

and noted that Baer sub-planes are examples of<br />

blocking set of size q � q �1in<br />

projective<br />

planes of square order. After that things were<br />

quiet for 13 years until Di Paola [10] introduced<br />

the idea of a projective triangle , which give an<br />

example of a blocking set of size 3(q+1)/2 in<br />

Desargusian planes of odd order[4]. That<br />

projective planes exit in these planes was shown<br />

by Bruen who also obtained the general lower<br />

bound q � q �1<br />

for the size of a blocking set<br />

in projective plane of odd order q. Bruen [7]<br />

gave the upper bound q q �1<br />

for a minimal<br />

blocking set I any projective plane of order q,<br />

and make the connection with Rédei's work on<br />

lacunary polynomials and small blocking sets in<br />

Desargusian planes.<br />

PRELIMINARIES<br />

This Section briefly summarize some of the<br />

basic notions concerning projective spaces, tblocking<br />

sets. We begin by the following<br />

definitions: A finite filed is a field with a finite<br />

number of elements. A field E is an extension<br />

field of a field F if there is an injective ring<br />

homomorphism F into E [11].A non constant<br />

polynomial f(x) is an irreducible polynomial in<br />

F[x] if f(x) cannot be expressed in F[x] as a<br />

product g(x) h(x) of non constants each of<br />

degree less than the degree of f(x) .Let GF(p) =<br />

Z / pZ Zp, p prime number, and let f(x) be an<br />

irreducible polynomial of degree h over<br />

GF(p),then<br />

h<br />

GF(p ) �GF(p)[x]/ (F(x)) �<br />

h�1 � i<br />

�<br />

��aiλ :a i�GF(p);F(λ)<br />

�0�<br />

i�0 � �<br />

is called a Galois Field of order q ; q=p h [ ].<br />

The elements of GF(q) satisfy the equation x q =<br />

x, and there exists λ in<br />

GF(q)=GF(q)={0,1,�,� 2 ,… ,� q-2 }.<br />

A projective plane PG(2, q) is an incident<br />

structure of points and lines which consists of<br />

2<br />

2<br />

q � q �1points<br />

and q � q �1<br />

lines and every<br />

line contains q+1 points and every point pass<br />

q+1 lines. A (k, n) –arc K in PG(2,q) is a set of k<br />

307


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

points such that there is some n but no n+1 of<br />

them are collinear . A t – blocking set B in a<br />

projective plane PG(2, q) is a set of points such<br />

that each line in PG(2, q) contains at least t<br />

points of B and some line contains exactly t<br />

points of B.<br />

A t-blocking set is trivial when it contains<br />

only a line of PG(2,q).In specially If t=1, then<br />

B is called blocking set. If t=2, then B is called<br />

Double Blocking set. A t – blocking set B is<br />

minimal or irreducible when no proper sub set of<br />

it is a t – blocking set. A t-blocking set B of size<br />

b is small if b < t q + (q+3)/2.<br />

In this paper we work on the projective plane<br />

PG(2, 7) where the existence of the minimal<br />

blocking sets of size 13 and minimal blocking<br />

sets of Rédei-type of size 13 are proved and we<br />

give some important properties on minimal<br />

blocking sets and we find the lower bounds of<br />

sixth and seventh blocking sets in PG(2,16), and<br />

this is the difference between this work and the<br />

work of Di Paola , who determined the minimum<br />

size of a non trivial blocking set in the projective<br />

planes of orders 4, 5, 7, 8 and 9.<br />

Theorem 2.1[3]. Let B be t- blocking set in a<br />

projective plane PG(2, p) , p > 3 where p is<br />

prime , if t � (p+1)/2, then B � ( t �1)<br />

p.<br />

Theorem 2.2[4]. Let B be t- blocking set of size<br />

b in projective plane PG(2,q), then :<br />

q�1<br />

1. 2<br />

�r �q<br />

�q<br />

�1<br />

308<br />

i<br />

i�0<br />

q 1<br />

2. � �<br />

i�1<br />

q 1<br />

i�2<br />

q 1<br />

i r �b(<br />

q �1)<br />

i<br />

�<br />

3. �i ( i �1)<br />

r �b<br />

( b �1)<br />

�<br />

4.<br />

� � v<br />

i�1<br />

q�1<br />

5. �<br />

i�2<br />

q<br />

6. ��<br />

7. ��<br />

i q<br />

i<br />

�1<br />

( i �1)<br />

vi<br />

�b<br />

�1<br />

u �q<br />

�1<br />

i<br />

i 0<br />

q<br />

iui<br />

i 1<br />

�b<br />

.<br />

where r i : the total number of i-secant of B<br />

v i : the total number of i-secant through a point<br />

p of B.<br />

u i : the total number of i-secant through a point<br />

q of PG(2, q)\B.<br />

Theorem 2.3[14]. Let B be a t-blocking set B in<br />

PG(2,q) , where t <br />

3, q = p 2d ,then B � t(<br />

q � q �1)<br />

.<br />

Theorem2.4[5]. Let B be a t-blocking set B in<br />

�1/<br />

3 1/<br />

6 1/<br />

4<br />

PG(2,q),where t � min( 2 q , q / 2)<br />

, if q<br />

= p 2d ,p = 2,3, d � 2,then � t(<br />

q � q �1)<br />

B .<br />

Theorem 2.5[9]. Let B be a t-blocking set B in<br />

PG(2,q), of size t(q+1)+c , let c2 = c3 = 2 -1/3 and<br />

cp = 1,if q = p 2 , where p is prime and p > 3,and<br />

t


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

then<br />

i<br />

0<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

10<br />

11<br />

12<br />

13<br />

14<br />

pi<br />

(1, 0, 0)<br />

(0, 1, 0)<br />

(0, 0, 1)<br />

(1, -3, 1)<br />

(1, 1, 3)<br />

(1, 3, 0)<br />

(0, 1, 3)<br />

(1, -3, 0)<br />

(0, 1, -3)<br />

(1, -3, 2)<br />

(1, -1, 2)<br />

(1, -1, -1)<br />

(1, 0, -2)<br />

(1, 2, 1)<br />

(1, 1, 2)<br />

Table (1): Points of the projective plane PG(2,7)<br />

i p i p<br />

i<br />

15<br />

16<br />

17<br />

18<br />

19<br />

20<br />

21<br />

22<br />

23<br />

24<br />

25<br />

26<br />

27<br />

28<br />

29<br />

i<br />

(1, -1, 3)<br />

(1, 3, 2)<br />

(1, -1, 0)<br />

(0, 1, -1)<br />

(1, -3, -3)<br />

(1, -2, -2)<br />

(1, 2, -2)<br />

(1, 2, -3)<br />

(1, -2, 3)<br />

(1, 3, 3)<br />

(1, 3, -2)<br />

(1, 2, 2)<br />

(1, -1, -2)<br />

(1, 2, 3)<br />

(1, 3, -1)<br />

Let L 1 be the line which contains the points ,<br />

i�1<br />

L i � L T [13], i=1, . . ., 57, are the lines<br />

1.<br />

Table (2): Lines of PG(2,7)<br />

Lines Points<br />

L1 0 1 5 7 17 35 38 49<br />

L2 1 2 6 8 18 36 39 50<br />

L3 2 3 7 9 19 37 40 51<br />

L4 3 4 8 10 20 38 41 52<br />

L5 4 5 9 11 21 39 42 53<br />

L6 5 6 10 12 22 40 43 54<br />

L7 6 7 11 13 23 41 44 55<br />

L8 7 8 12 14 24 42 45 56<br />

L9 8 9 13 15 25 43 46 0<br />

L10 9 10 14 16 26 44 47 1<br />

L11 10 11 15 17 27 45 48 2<br />

L12 11 12 16 18 28 46 49 3<br />

L13 12 13 17 19 29 47 50 4<br />

L14 13 14 18 20 30 48 51 5<br />

L15 14 15 19 21 31 49 52 6<br />

L16 15 16 20 22 32 50 53 7<br />

L17 16 17 21 23 33 51 54 8<br />

L18 17 18 22 24 34 52 55 9<br />

L19 18 19 23 25 35 53 56 10<br />

L20 19 20 24 26 36 54 0 11<br />

L21 20 21 25 27 37 55 1 12<br />

L22 21 22 26 28 38 56 2 13<br />

L23 22 23 27 29 39 0 3 14<br />

L24 23 24 28 30 40 1 4 15<br />

L25 24 25 29 31 41 2 5 16<br />

L26 25 26 30 32 42 3 6 17<br />

L27 26 27 31 33 43 4 7 18<br />

L28 27 28 32 34 44 5 8 19<br />

30<br />

31<br />

32<br />

33<br />

34<br />

35<br />

36<br />

37<br />

38<br />

39<br />

40<br />

41<br />

42<br />

43<br />

44<br />

i<br />

(1, 0, 3)<br />

(1, 3, 1)<br />

(1, 1, -1)<br />

(1, 0, -3)<br />

(1, -2, 1)<br />

(1, 1, 0)<br />

(0, 1, 1)<br />

(1, -3, -2)<br />

(1, 2, 0)<br />

(0, 1, 2)<br />

(1, -3, 3)<br />

(1, 3, -3)<br />

(1, -2, -3)<br />

(1, -2, -1)<br />

(1, 0, 2)<br />

45<br />

46<br />

47<br />

48<br />

49<br />

50<br />

51<br />

52<br />

53<br />

54<br />

55<br />

56<br />

pi<br />

(1, -1, 1)<br />

(1, 1, -3)<br />

(1, -2, 2)<br />

(1, -1, -3)<br />

(1, -2, 0)<br />

(0, 1, -2)<br />

(1, -3, -1)<br />

(1, 0, -1)<br />

(1, 0, 1)<br />

(1, 1, 1)<br />

(1, 1, -2)<br />

(1, 2, -1)<br />

of PG(2,7) , then the 57 lines Li are given by the<br />

following two table:<br />

L29 28 29 33 35 45 6 9 20<br />

L30 29 30 34 36 46 7 10 21<br />

L31 30 31 35 37 47 8 11 22<br />

L32 31 32 36 38 48 9 12 23<br />

L33 32 33 37 39 49 10 13 24<br />

Table (3): Lines of PG(2,7)<br />

Lines Points<br />

L34 33 34 38 40 50 11 14 25<br />

L35 34 35 39 41 51 12 15 26<br />

L36 35 36 40 42 52 13 16 27<br />

L37 36 37 41 43 53 14 17 28<br />

L38 37 38 42 44 54 15 18 29<br />

L39 38 39 43 45 55 16 19 30<br />

L40 39 40 44 46 56 17 20 31<br />

L41 40 41 45 47 0 18 21 32<br />

L42 41 42 46 48 1 19 22 33<br />

L43 42 43 47 49 2 20 23 34<br />

L44 43 44 48 50 3 21 24 35<br />

L45 44 45 49 51 4 22 25 36<br />

L46 45 46 50 52 5 23 26 37<br />

L47 46 47 51 53 6 24 27 38<br />

L48 47 48 52 54 7 25 28 39<br />

L49 48 49 53 55 8 26 29 40<br />

L50 49 50 54 56 9 27 30 41<br />

L51 50 51 55 0 10 28 31 42<br />

L52 51 52 56 1 11 29 32 43<br />

L53 52 53 0 2 12 30 33 44<br />

L54 53 54 1 3 13 31 34 45<br />

L55 54 55 2 4 14 32 35 46<br />

L56 55 56 3 5 15 33 36 47<br />

L57 56 0 4 6 16 34 37 48<br />

309


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

310<br />

MINIMAL BLOCKING SETS<br />

OF SIZE 13 IN PG(2,7).<br />

Let B be a minimal blocking set of size 13 in<br />

PG(2,7).<br />

Theorem 4.1[13]. Let V be a vector space of<br />

dimension n over a finite field GF(q), then any<br />

sub set of V intersect every prime of V contain<br />

at least n(q – 1)+1of points.<br />

Lemma 4.2.[18]. In PG(2,q), let B be a minimal<br />

blocking set of size q +k, and suppose there is a<br />

line L intersecting B in exactly k-1 points. Then<br />

there is a points O � B such that every line<br />

joining O to a point of L\B contains two points<br />

of B. Hence k � ( q � 3)<br />

\ 2.<br />

Lemma 4.3. Any point of B lies on at least two<br />

tangents<br />

Proof . Let p �B<br />

and let L be a tangent line to<br />

B at p. Consider PG(2,7)\L and call this<br />

AG(2,7). Then a set B\L of size 12 remains .A<br />

minimal blocking set in AG(2,7) contains at<br />

least 13 points . This means that we have to add<br />

at least one point to B\L to get a blocking set in<br />

AG(2,7). The external lines to B\L in AG(2,7)<br />

are the tangents to B at p , different from L.<br />

Hence p lies on at least two tangents to B.<br />

Lemma 4.4. In PG(2,q), let B be a minimal<br />

blocking set of size q +k, and suppose there is a<br />

line L intersecting B in exactly k-1 points. Then<br />

there is a points O � B such that every line<br />

joining O to a point of L\B contains two points<br />

of B. Hence k � ( q � 3)<br />

\ 2.<br />

Theorem 4.5. There is minimal blocking set of<br />

size 13 in PG(2,7), having 5-secant, but no 6secant.<br />

Proof. Let (x, y, z) denote the coordinates of a<br />

projective point . Let L be a 5-secant to B, let L<br />

be the line at infinity of the corresponding affine<br />

plane, and let { p 1 , p2<br />

, p3<br />

} = L\B. By lemma<br />

4.4, there is an affine point O � B for which the<br />

lines Op i , i=1,2,3 are bisecants. These lines<br />

contain six affine points of B. Let U1 and U2<br />

be<br />

the remaining affine points. Since the points<br />

p only lie on one 2-secant and six tangents , the<br />

i<br />

lines U1 pi<br />

are tangents for i=1,2,3. Furthermore<br />

the line OU1is a line passing through a point of<br />

B � L .We select the reference system in the<br />

following way Let<br />

p1 � ( 0,<br />

1,<br />

0)<br />

, p2<br />

� ( 1,<br />

0,<br />

0)<br />

, p3<br />

� (1,3,0) . Since the<br />

subgroup of PGL(2,7) stabilizing<br />

{ p1, p2<br />

, p3}<br />

acts transitively on the 5 other<br />

points of L , let<br />

OU passthrough<br />

(1,1,0) . Let O � (0,0,1), we can assume<br />

1<br />

that 1<br />

U =(1,1,1) .Consider now the affine plane<br />

PG(2,7)\L. Let B� � B \ ( L �{<br />

U<br />

1<br />

, U<br />

2<br />

}. Then two<br />

points of B� lie on X=0, two on Y=0, and two on<br />

Y=3X, since these are the lines OP i , i=1,2,3.<br />

Moreover on every horizontal line Y = k ,<br />

vertical line X=k, and on every line Y=3X +k<br />

with k≠0, there is one point of B. In particular on<br />

the lines X=1, Y=1, Y=3X-2 , Y=X which all<br />

pass through U 1 , there are no points of B� , this<br />

cancels already a lot of points of AG(2,7).<br />

(0,0) (0,1) (0,-1) (0,2) (0,-2) (0,3) (0,-3)<br />

(1,0) (1,1) (1,-1) (1,2) (1,-2) (1,3) (1,-3)<br />

(-1,0) (-1,1) (-1,-1) (-1,2) (-1,-2) (-1,3) (-1,-3)<br />

(2,0) (2,1) (2,-1) (2,2) (2,-2) (2,3) (2,-3)<br />

(-2,0) (-2,1) (-2,-1) (-2,2) (-2,-2) (-2,3) (-2,-3)<br />

(3,0) (3,1) (3,-1) (3,2) (3,-2) (3,3) (3,-3)<br />

(-3,0) (-3,1) (-3,-1) (-3,2) (-3,-2) (-3,3) (-3,-3)<br />

On the line Y=3X,we will select two points<br />

from the set<br />

L 1 � {( �1,<br />

�3),<br />

( 2,<br />

�1),<br />

( 3,<br />

2),<br />

( �3,<br />

�2)}<br />

, and on<br />

the line X=0 , we need to select two points from<br />

the set L 2 � {( 0,<br />

�1),<br />

( 0,<br />

2),<br />

( 0,<br />

3),<br />

( 0,<br />

�3)}.<br />

Also<br />

we need to select two points on the line Y=0 to<br />

be in B� . This gives the following six<br />

possibilities. We choose (2,0) and (-3,0) from<br />

line Y=0. This choice eliminates (2,-1) and (-3,-<br />

2) of L 1.<br />

Since we cannot have two points of<br />

B� on the same horizontal line different from the<br />

first line .On Y=3X+1 and Y=3X+2 , the two<br />

lines through p3 and (2,0),(-3,0) we cannot<br />

select any other point of B� , since these lines<br />

must be tangents to B , this eliminates (0,2) of<br />

L 2 . Hence this choice will gives us (2,0), (-3,0)<br />

from Y=0 , and the point (-1,-3), (3,2) from<br />

L 1 and the points (0,-1), (0,3),(0,-3) from L 2 . If<br />

we choice two points from Y=0, two points from<br />

L 1,<br />

and two points from L 2 , we will get to the<br />

three possibilities to six points of B� . So we will<br />

choice (2,0), (-3,0) from Y=0, and (-1,-3), (3,2)<br />

from 1 L , and (0,-1), (0,3) from L 2 to be six<br />

affine points of B� . By identify the projective<br />

points (x ,y) with (x,y,1) we get the following<br />

points {(1,0,-3), (1,0,2), (1,3,-1), (1,3,-2), (0,1,-


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

1),(0,1,2)}, take these points with the points<br />

from B � L :{(1,1,0), (1,-1,0), (1,2,0), (1,-<br />

2,0),(1,-3,0)}, and with the points U 1 =(1,1,1)<br />

and U 2 =(1,1,3) we get the minimal blocking<br />

sets of size 13 with 5-secant but no 6-secant.<br />

Definition 4.6 [16 ]. An elation of PG(2,7) is an<br />

automorphism that fixes all points on a line l,<br />

and that fixes all lines through a certain point p<br />

of l is called the axis of the elation , and the<br />

point p is the center of the elation .<br />

The order of an elation alpha of PG(2,q), q=p h , p<br />

prime , is equal to the prime p.<br />

Definition 4.7. [ 17]. A minimal t- blocking set<br />

B is of Rédei-type in PG(2, q) if there is a line<br />

contains k points of B such that B \ L = q.<br />

Theorem 4.8. There is minimal blocking 13-set<br />

of Rédei-type in PG(2,7).<br />

Proof. Let (x, y ,z) denote the coordinates of a<br />

projective point.Let L:Z=0, be the Rédei-line<br />

and let pi � ( xi<br />

, yi<br />

, 1)<br />

� ( xi<br />

, yi<br />

) , i=1,…,7, be<br />

the affine points of the blocking set B� . Let A=<br />

(0,1,0), B=(1,0,0), since all affine lines X=a,<br />

through A and Y=b through B contain exactly<br />

one affine point of the blocking set, we have<br />

x i � x j and yi<br />

� y j if i � j.<br />

These two conditions will be used in the search<br />

for minimal blocking set of Rédei -type, let p 1 =<br />

(0,0), using perceptivities with axis L and center<br />

p 1 , we can set p 2 =(1,1). Again using<br />

perceptivities with axis L and center p 2 ,we can<br />

set p 3 =(2,2). The criteria for selecting a next<br />

point<br />

pi<br />

� ( xi<br />

, yi<br />

) , x i �{<br />

x1,...,<br />

xi�1},<br />

yi<br />

�{<br />

y1<br />

,..., y j�1}<br />

. In the discussion of the different cases , when<br />

selecting p i . We will always talk about the used<br />

xi and the used y . For this choice of<br />

i<br />

p p , p , the used x are : 0,<br />

1,<br />

2 the used<br />

1,<br />

2 3<br />

i<br />

y are 0,1,2, the above mentioned criterion gives<br />

i<br />

four possibilities for p 4 namely p 4 �{(3,-<br />

1),(3,-2),(3,3),(3,-3)}. We choice p 4 =(3,-2).<br />

Then the used x i are 0,1,2,3 and the used yi are<br />

0,1,2,-2. For 5 p =(-3, y 5 ).By the above two<br />

conditions, we have y �{<br />

�1,<br />

3,<br />

�3}<br />

we choice<br />

p 5 =(-3,3). Then the used i<br />

5<br />

x are 0,1,2,3,-3, and<br />

the used y i are 0,1,2,-2. For 6 p =(-2, 6<br />

y ) and by<br />

the two conditions we have y �{<br />

�1,<br />

�3},<br />

we<br />

choice 6 p =(-2,-1). Then the used x i are<br />

0,1,2,3,-3,-2, the used yi are 0,1,2,-2,3,-1, for 7 p<br />

=(-1, y 7 ), by the two above condition we have<br />

p 7 =(-1,-3). Hence we get to the seven affine<br />

points :(0,0) , (1,1) , (2,2) , (3,-2) , (-3,3) , (-2,-1)<br />

, (-1,-3). By identify the projective points (x,y)<br />

with (x, y, 1) we get the following points {(0, 0,<br />

1), (1, 1, 1), (1, 1, -3), (1, -3, -2), (1, -1, 2), (1, -<br />

3, 3), (1, 3, -1)}. These points with the six points<br />

of B � L ={(1,1,0), (1,-1,0), (1,2,0),(1,-<br />

2,0),(1,3,0), (1,-3,0)} form the minimal blocking<br />

set of Rédei-type.<br />

SOME PROPERTIES OF MINIMAL BLOCKING<br />

SETS OF SIZE 13 IN PG(2,7).<br />

Lemma 5.1. There are no minimal blocking sets<br />

of size 13 with 1-, 2-, 4-secants but without<br />

3-secant .<br />

Proof. Suppose there are only 1-,2-,and 4secants<br />

. Let the numbers of them denoted by a,<br />

b, d, respectively. Then the following equations<br />

must hold by standard counting arguments .<br />

a + b + d =57 . . . (1)<br />

a + 2b +4d = 104 . . . (2)<br />

2b + 12d = 156 . . . (3)<br />

From these equations we get 6d= 62 which is<br />

not possible for 6 does not divide 62.<br />

Lemma 5.2. If B has no 2-secant, then B has at<br />

least one 4-secant.<br />

Proof. Suppose there are only 1-,3-,and 4secants<br />

.Let the number of them denoted by a, c,<br />

d, respectively. Then the following equations<br />

must hold by standard counting arguments.<br />

a + c + d =57 . . . (1)<br />

a + 3c +4d = 104 . . . (2)<br />

6c + 12d = 156 . . . (3)<br />

From these equations we get d = 5.<br />

Lemma 5.3. There are at most six point of B on<br />

any line of it.<br />

Proof. Let L be a 7- secant to B, since the seven<br />

lines through p, where p � L \ B,<br />

contains at<br />

least one point of B, hence there is one line from<br />

the other seven lines not contains any point of B,<br />

which contradicts the fact that B is a blocking<br />

set.<br />

Lemma 5.4. Every blocking set of size 13 in<br />

PG(2,7), has at least four points on a line.<br />

6<br />

311


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

Proof. Suppose there are only 1-,2-,and 3secants<br />

. Let the number of them denoted by a , b<br />

, c , respectively . Then the following equations<br />

must hold by standard counting arguments.<br />

a + b + c =57 . . . (1)<br />

a + 2b +3c = 104 . . . (2)<br />

2b + 6c = 156 . . . (3)<br />

From these equations, we get b= -15, which<br />

is impossible.<br />

Lemma 5.5. Let B have at most four points on a<br />

line . Let the number of 1-,2-,3- and 4- secants<br />

be denoted by a , b , c, d, respectively. Then<br />

these numbers satisfy one of the following<br />

possibilities<br />

312<br />

a b c d Possibilities<br />

31 15 1 10 (i)<br />

32 12 4 9 (ii)<br />

33 9 7 8 (iii)<br />

34 6 10 7 (iv)<br />

35 3 13 6 (v)<br />

36 0 16 5 (vi)<br />

Proof. The standard counting arguments give:<br />

a + b + c + d =57 . . . (1)<br />

a + 2b +3c + 4d = 104 . . . (2)<br />

2b + 6c + 12 d = 156 . . . (3)<br />

From these equations we can deduce:<br />

a = 41 – d;<br />

b = -15 + 3d;<br />

c = 31 -3d;<br />

Since c ≥ 0 , we get d ≤ 0.<br />

Lemma 5.6. If B has at most 5-secant, then any<br />

point not belong to B has at most six tangents.<br />

Proof. If a point p � B,<br />

lies on seven tangents<br />

then the eighth line contains the 6 remaining<br />

points of B, which contradicts. Since B has at<br />

most 5 –secants.<br />

Lemma 5.7. Any point not belonging to B has<br />

at most seven tangents.<br />

Proof. If p � B,<br />

lies on eight tangents ,then<br />

B � 8* 1 � 8,<br />

which contradicts the size of<br />

B. Lemma 5.8. Let L 1 be a 6-secant to B<br />

and L 2 , be a 5-secant to B then L1 � L2<br />

, in a<br />

point in B.<br />

Proof. Assume L1 � L2<br />

={p}, and p � B,<br />

then<br />

B � 6 � 5 � 6 � 17,<br />

which contradicts the size<br />

of B.<br />

Lemma 5.9. Let L be a 6-secant of L � B , there<br />

is at most one 5-secant .<br />

Proof. Let p be a point of L � B , and assume<br />

there are two 5-secants through p, then<br />

B � 6 � 2*<br />

4 � 14,<br />

which contradicts the size<br />

of B.<br />

Lemma 5.10. Let L be a 4-secant to b , then<br />

through any point of L � B , there is at most<br />

four 3-secant.<br />

Proof. Let p be a point of L � B , and assume<br />

there are five 3-secant through p, then<br />

B � 4 � 5*<br />

2 �14,<br />

which contradicts the size<br />

of B.<br />

Lemma 5.11. Every two 6-secants to B are<br />

intersected in a point on B .<br />

Proof. If two 6-secants intersect in p � B,<br />

then<br />

B � 2* 6 � 6 � 18,<br />

which is contradicts the size<br />

of B.<br />

Lemma 5.12. There are at most two 6-secants<br />

through any point of B.<br />

Proof. By lemma 5.11.every two 6-secants to B<br />

are intersected in a point on B. Now assume<br />

there are three 6-secants through a point p � B,<br />

then B � 3* 5 �1<br />

� 16,<br />

and that is impossible.<br />

So through every point of B , there are at most<br />

two 6-secants.<br />

LOWER BOUNDS OF SIXTH AND<br />

SEVENTHBLOCKING SETS<br />

IN PROJECTIVE PLANEPG(2, 16)<br />

In this section we find the lower bound in the<br />

projective plane PG(2, q), q square the of 6 –<br />

blocking set when q > 36 and q = 16. Also we<br />

find the lower bound of a 7 – blocking set when<br />

q > 49 and q = 16.<br />

6.1. The projective plane PG(2, 16).<br />

Let F(x) = x 3 + x 2 + x +λ be a conic polynomial<br />

over GF(16) then the companion matrix of F(x)<br />

�0<br />

1 0�<br />

T=<br />

� �<br />

�<br />

0 0 1 , is cyclic projectivity onPG(2,<br />

�<br />

��<br />

� 1 1��<br />

16) , {λ= -λ}, let π = GF(16) = {0, 1, λ i }<br />

where i and λ 15 =1. The number of point<br />

in the PG(2, 16) are 273 points and 273 lines and<br />

every line passes through 17 points.<br />

6.2. Sixth and seventh blocking sets in PG(2,<br />

16)<br />

The object of this section is to obtain good<br />

lower bounds for the size of sixth blocking sets<br />

in PG(2, q), q is square integer[12 ].<br />

The following are the Table of the largest (k,<br />

n)- arc in PG(2, q) for small q.


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

Table 4: The size of the largest (k, n) – arc in PG(2, q) for small q.<br />

q n 3 4 5 7 8 9 11 13 16<br />

2 4 6 6 8 10 10 12 14 18<br />

3 9 11 15 15 17 21 23 28 … 33<br />

4 16 22 28 28 32 … 34 38 … 40 52<br />

5 29 33 37 43 … 45 49 … 53 65<br />

6 36 42 48 56 64 …66 78…82<br />

7 49 55 67 79 93…97<br />

8 65 77 … 78 92 120<br />

9 89 … 90 105 128…131<br />

10 100 -102 118 …119 142…148<br />

11 132…133 159…164<br />

12 145…147 180…181<br />

13 195...199<br />

14 210…214<br />

15 231<br />

16<br />

Theorem 6.3. Let B be sixth blocking set in<br />

PG(2, q) , q is square such that through each<br />

of it is points there are +1 lines, each line<br />

contains at least +6 points of B and<br />

forming a dual Baer sub line. Then:<br />

1. For q > 36, B has at least 6q + 2 +6<br />

points.<br />

2. For q =16, B has at least 6q + +9<br />

points.<br />

Proof.1. Call the lines meeting B in +6<br />

or more points long lines. If two long line<br />

meet outside of B, then B has at least 2 (<br />

+6) + 6(q -1) = 6q + 2 points and the<br />

desired bound is obtained [18 ]. Hence<br />

B � 6q + 2 . So to assume that two<br />

long lines meet in B. Take l, a long line, and<br />

p, a point of B not on l. Then the long lines<br />

through p contain a dual Baer sub line and<br />

meet l in a Baer sub line. Let Q be a point on<br />

this Baer sub line. Consider long lines<br />

through a point on a 6-secant to Q. These<br />

meet l in another Baer sub line not<br />

containing Q. Two Baer sub lines meet in at<br />

most two points and so l has at least 2<br />

points. Since l was arbitrary every long line<br />

has at least 2 and it follow that B<br />

has at least ( (2 -1) +1 +5(q- )<br />

= 7q - 4 points. Since 7q - 4 6q +<br />

2 for all so that B � 6q +<br />

2 .<br />

Proof.2. If two long lines meet outside of B,<br />

then B has at least 2( ) +6( q-1) = 6 q<br />

+2 points. Hence B � 6 q + 2 .<br />

Let p B, through B, since there are +1<br />

long lines through p. So B has at least (<br />

+1)( +5)+1+5(q+1- ( +1)= 6q + +6<br />

points. Now B � 106. If this bound is a<br />

chafed then (k, 11) – arc has k = 167 and<br />

that impossible. [ See Table in 5.1.]. If B =<br />

6q + +7 then k = 166, that impossible.<br />

Since k 164, hence B � 6q +<br />

Corollary 6.4. There exists (k,11) – arc in<br />

PG(2, 16) ,where k .<br />

Proof. Finding a maximum ( k, 11) –arc is<br />

equivalent to finding the minimum sixth<br />

blocking sets by considering complements.<br />

From theorem 6.3, the lower bound of sixth<br />

blocking set is 6 q + 2 So B must<br />

have at least 110 points and since n = q +1-t<br />

, then (k, 11) –arc have at most 163 points<br />

.<br />

Theorem 6.5. Let B be seventh blocking set<br />

in PG(2, q) , q is square such that through<br />

each of it is points there are +1 lines,<br />

313


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

each line contains at least +7 points of B<br />

and forming a dual Baer sub line. Then:<br />

1. For q > 49, B has at least 7q + 2 +7<br />

points.<br />

2. For q =16, B has at least 7q + +9<br />

points.<br />

Proof.1. Call the lines meeting B in +7<br />

or more points long lines. If two long lines<br />

meet outside of B, then B has at least 2 (<br />

+7) + (q -1) = 7q + 2 points and the<br />

desired bound is obtained. Hence B � 7 q +<br />

2 . So to assume that two long lines<br />

meet in B. Take l, a long line, and p, a point<br />

of B not on l. Then the long lines through p<br />

contain a dual Baer sub line and meet l in a<br />

Baer sub line. Let Q be a point on this Baer<br />

sub line. Consider long lines through a point<br />

on a 7-secant to Q. These meet l in another<br />

Baer sub line not containing Q. Two Baer<br />

sub lines meet in at most two points and so l<br />

has at least 2 points. Since l was arbitrary<br />

every long line has at least 2 and<br />

it follow that B has at least ( (2 -<br />

1) +1 +6(q- ) = 8q - 5 points. Since 8q<br />

- 5 7q + 2 for all so that<br />

B � 7q + 2 .<br />

Proof .2. If two long lines meet outside of B,<br />

then B has at least 2( ) +7( q-1) = 7q<br />

+ 2 points. Hence B � 7q + 2 .<br />

Let p B, through B, since there are +1<br />

long lines through p. So B has at least (<br />

+1)( +6)+1+6(q+1- ( +1)= 7q + +7<br />

points. Now B � 123. If this bound is hold<br />

then (k, 10) – arc has k = 150 and that<br />

impossible. [ See Table 4 in 6.2.]. If B = 7q<br />

+ +8 then k = 149, that impossible. Since<br />

k 148, hence B � 7q +<br />

Corollary 6.6. There exists (k,10) – arc in<br />

PG(2, 16) ,where k .<br />

Proof. Finding a maximum ( k, 10) –arc is<br />

equivalent to finding the minimum seventh<br />

blocking sets by considering complements.<br />

314<br />

From theorem 5.4., the lower bound of<br />

seventh blocking set is 7q + 2 So B<br />

must have at least 127 points and since n = q<br />

+1-t , then (k, 10) –arc have at most 146<br />

points.<br />

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maximal partial spreads in PG(3,8), Designs, Codes<br />

and Cryptography, 13.,(2004) 15-26.<br />

- L. Re ' dei, Lacunary Polynomial over Finite Field,<br />

Birkhuser Verlag, Basel,(1973).<br />

- M. Richardson, On finite projective games, Proc. Amer.<br />

Math. Soc., 7, (1956), 458-465.<br />

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Eight, Ph. D. Thesis, University of Sussex,<br />

England,(1986).


J. Duhok Univ., Vol.14, No.1 (Pure and Eng. Sciences), Pp 307-315, 2011<br />

انيئ كةنوونم ةم . نرك ينلوث ةنيتاه اد<br />

PG(2, 7)<br />

ذ ىرك كؤمب نَيمؤك نيتركوضب انووبةه و رةرب<br />

د 31 َىرابةق ذ ىرك كؤمب نَيمؤك نيتركوضب ،ادَىنيلوكةظ َىظد<br />

5<br />

ةظيترث َىيلا لةطد<br />

PG(2,7) د 31 َىرابةق ذ ىرك كؤمب اموك ذ طنرط نَيتةخؤلاس كةدنه . ندنالمةس ةيتاه<br />

نيج<br />

. اد<br />

PG(2,q)<br />

PG(2, 7)<br />

31<br />

ةتخوث<br />

َىرابةق ذ ىرك كؤمب نَيمؤك نيتركوضب ذ<br />

31<br />

َىرابةق ذ<br />

د ىتفةح و ىشةش نَييىرك كؤمب نَيمؤك ؤب نرك اديةث ىرَيذ نَيرونس ةم اسةورةه<br />

نلأيطاا لاا يتبلا يف<br />

داي ن ىيلع ةيتذ ثبف نيت ث ان نجيطنبي نيخ ن يثراا ىيلع يل بت<br />

ييخف دنييا نف نييتب نييبر .<br />

دنييا نف نيتب نييض ا .<br />

.<br />

يف ل د ع<br />

PG(2, 7)<br />

PG(2, 7)<br />

q<br />

نل تع<br />

31<br />

Redei<br />

َىروج<br />

. ناد ةنتاه اد<br />

ةصلاخلا<br />

يا ا ة ميصتا ةيجثلنلألا يجلنيابلا اجتيا ف نيتب ني ثلا ا يذ يف<br />

31<br />

نلأييطاا لاا ييتبلا ييف لا يي ر –<br />

نلأيطاا لاا ييتبلا<br />

PG(2,q)<br />

يف<br />

31<br />

ا ا ة مصأ ةجثلن ةعابال ىلع لنثل دنا نف نتب<br />

اييع نييل<br />

31<br />

ييا ا ة مييصأ ةييجثلن ةييعابال<br />

يا ا ة مييصاا ةيجثلنلألا ةييعابابلل ةيبةبلا ا نياخلا<br />

نلأطاا لاا تبلا ف ةجطا تلان ةجطنبخلا ةجثلنلألا يجلنابلل نجع لا داجلألا<br />

315

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