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<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN: 1450-216X Volume 20, No 4 July, 2008<br />

Editor-In-chief or e<br />

Adrian M. Steinberg, Wissenschaftlicher Forscher<br />

Editorial Advisory Board e<br />

Parag Garhyan, Auburn University<br />

Morteza Shahbazi, Edinburgh University<br />

Raj Rajagopalan, National University <strong>of</strong><br />

Singapore<br />

Sang-Eon Park, Inha University<br />

Said Elnashaie, Auburn University<br />

Subrata Chowdhury, University <strong>of</strong> Rhode<br />

Island<br />

Ghasem-Ali Omrani, Tehran University <strong>of</strong><br />

Medical Sciences<br />

Ajay K. Ray, National University <strong>of</strong> Singapore<br />

Mutwakil Nafi, China University <strong>of</strong><br />

Geosciences<br />

Felix Ayadi, Texas Southern University<br />

Bansi Sawhney, University <strong>of</strong> Baltimore<br />

David Wang, Hsuan Chuang University<br />

Cornelis A. Los, Kazakh-British Technical<br />

University<br />

Jatin Pancholi, Middlesex University<br />

Teresa Smith, University <strong>of</strong> South Carolina<br />

Ranjit Biswas, Philadelphia University<br />

Chiaku Chukwuogor-Ndu, Eastern Connecticut<br />

State University<br />

John Mylonakis, Hellenic Open University<br />

(Tutor)<br />

M. Femi Ayadi, University <strong>of</strong> Houston-Clear<br />

Lake<br />

Emmanuel Anoruo, Coppin State University<br />

H. Young Baek, Nova Southeastern University<br />

Dimitrios Mavridis, Technological Educational<br />

Institure <strong>of</strong> West Macedonia<br />

Mohand-Said Oukil, Kind Fhad University <strong>of</strong><br />

Petroleum & Minerals<br />

Jean-Luc Grosso, University <strong>of</strong> South Carolina<br />

Richard Omotoye, Virginia State University<br />

Mahdi Hadi, Kuwait University<br />

Jerry Kolo, Florida Atlantic University<br />

Leo V. Ryan, DePaul University<br />

As <strong>of</strong> 2005, <strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong> is indexed in ULRICH, DOAJ and CABELL<br />

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<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

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Further information is available at: http://www.eurojournals.com/ejsr.htm<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2005


Contents<br />

<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

Volume 20, No 4 July 2008<br />

Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 721-736<br />

Z.O. Opafunso and B. Adebayo<br />

Assessment <strong>of</strong> Micro-Credit Supply by Country Women Association <strong>of</strong><br />

Nigeria (Cowan) to Rural Women in Ondo State, Nigeria 737-745<br />

M.G. Olujide<br />

Comparative Analysis <strong>of</strong> Pictorial Coverage <strong>of</strong> Events by Pakistan’s English Press 746-758<br />

Muhammad Nawaz Mahsud, Muhammad Khalid and Firasat Jabeen<br />

Design Space Exploration <strong>of</strong> Regular NoC Architectures: A Multi-Objective<br />

Evolutionary Algorithm Approach 759-771<br />

Rabindra Ku. Jena, Musbah M. Aqel, Gopal K. Sharma and Prabhat K. Mahanti<br />

Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: Application Aux Eaux Souterraines<br />

du District D’abidjan (Sud de la Côte D’ivoire) 772-787<br />

Kouamé Kan Jean, Jourda Jean Patrice, Adja Miessan Germain<br />

Deh Serges Kouakou, Anani Abenan Tawa, Effini Adiow Thérèse and Biémi Jean<br />

Development <strong>of</strong> an Integrated Poultry/Fishery Husbandry for Optimal Agricultural Production 788-795<br />

F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

Robust Control <strong>of</strong> a Doubly Fed Asynchronous Machine <strong>of</strong> a Wind Turbine System 796-804<br />

S. Gherbi, S. Yahmedi and M. Sedraoui<br />

Effects <strong>of</strong> Enviromental Variables on Poultry Performance and Pond Water<br />

Quality in an Integrated Poultry/Fishery Farming 805-816<br />

F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

Spatial Distribution and Characterisation <strong>of</strong> the Sediments <strong>of</strong> the Estuary <strong>of</strong><br />

Comoe River (Grand-Bassam, Côte D’ivoire) 817-827<br />

Adopo Kouassi Laurent, Kouassi Kouakou Lazare, Wognin Ama Valérie Irma<br />

Monde Sylvain, Meledje N’Diaye Hermann and Aka Kouamé<br />

Blind SIMO GSM Channel Identification 828-835<br />

Taba Mohamed Tahar, S. Femmame and D. Mossadeg<br />

The Chemical Control <strong>of</strong> the Pests in the Truck Farming and the Quality<br />

<strong>of</strong> Vegetables in African Urban Cities: The Health Hazards and Security <strong>of</strong> Consumers 836-843<br />

Dembele Ardjouma, Oumarou Badini, Traore Sory Karim, Mamadou Koné<br />

Coulibaly D. Ténébé and A. Abba Toure


Database Interfacing using Natural Language Processing 844-851<br />

Imran Sarwar Bajwa, Shahzad Mumtaz and M. Shahid Naweed<br />

Role <strong>of</strong> Trade, External Debt, Labor Force and Education in Economic Growth<br />

Empirical Evidence from Pakistan by using ARDL Approach 852-862<br />

Arshad Hasan and Safdar Butt<br />

Development <strong>of</strong> Mechanical Prosthetic Hand System for BCI Application 863-870<br />

N. A Abu Osman, S. Yahud and S. Y Goh<br />

Toxicity <strong>of</strong> Arsenic in the Ground Water <strong>of</strong> Comarca-Lagunera (Mexico) 871-881<br />

Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

Modeling and Temperature Controller Design for Yazd Solar Power Plant 882-890<br />

Aref Shahmansoorian and Abdolvahed Saidi<br />

A Predictive Current Control Technique on Fuel Cell Based Distributed<br />

Generation in a Standalone AC Power Supply 891-904<br />

K. G. Firouzjah, H. Eshaghtabar, A. Sheikholeslami and S. Lesan<br />

Effects <strong>of</strong> Ethyl acetate Portion <strong>of</strong> Syzygium Aromaticum Flower Bud Extract on<br />

Indomethacin-Induced Gastric Ulceration and Gastric Secretion 905-913<br />

Okasha Mohammad Abdul- Halim, Magaji Rabiu Abdussalam<br />

Abubakar Mujtaba Suleiman and Fatihu Muhammad Yakasai<br />

Real Digital TV Accessed by Cellular Mobile System 914-923<br />

Basil M. Kasasbeh, Rafa E. Al-Qutaish, Muzhir S. Al-Ani and Khalid Al-Sarayreh<br />

A Rule-Based Fuzzy Automatic Voltage Regulator for Power System Stability 924-933<br />

Samuel N. Ndubisi and Marcel .U. Agu


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.721-736<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries<br />

Z.O. Opafunso<br />

Department <strong>of</strong> Mining Engineering, Federal University <strong>of</strong> Technology<br />

Akure, NIGERIA<br />

B. Adebayo<br />

Department <strong>of</strong> Mining Engineering, Federal University <strong>of</strong> Technology<br />

Akure, NIGERIA<br />

Abstract<br />

This paper deals with the evaluation <strong>of</strong> blast-hole cuttings generated in process<br />

creating cavity in a rock mass as an indicator <strong>of</strong> bit wear. Blast-hole cuttings were collected<br />

on each hole drilled until drill bit is worn completely and deterioration <strong>of</strong> button inserted on<br />

the surface <strong>of</strong> the bit was measured as well. The size distribution <strong>of</strong> the blast-hole cuttings<br />

collected from the three selected quarries in South Western Nigeria was determined using<br />

sieve shaker. The results obtained show that weight retained on 850µm decreases while<br />

weight <strong>of</strong> blast-hole cuttings retained on 75 µm increases. The regression carried out gives<br />

values R² = 0.957, R² = 0.777, and R² = 0.729 for Geovertrag Quarry, Ado-Ekiti, Johnson<br />

Quarry, Akure and Sonel Boneh Quarry, Ibadan respectively. This shows that there is<br />

strong relationship between gauge button wear rate and weight <strong>of</strong> blast-hole cuttings<br />

retained on 75 µm sieve size. Therefore, monitoring the blast-hole cuttings while drilling<br />

could help to ascertained worn drill bit in a quarry.<br />

Introduction<br />

Rock penetration is the process by which ‘bit’ the applicator <strong>of</strong> energy advance into the rock in<br />

response to drill tool power as well as thrust. Howarth et al (1986) carried out percussion drilling test<br />

on ten sedimentary and crystalline rocks. Therefore, drilling is the process <strong>of</strong> creating artificial cavity<br />

in a rock mass for the purpose <strong>of</strong> placement <strong>of</strong> explosives. Studies have shown that assessing drilling<br />

mechanisms, it is a fact that besides compressive and tensile (percussive process) and shear strength<br />

(bit rotation) the elastic characteristics <strong>of</strong> rock material is crucial.<br />

However, blast-hole cuttings are produced in the course <strong>of</strong> rock drill bit advancing into the rock<br />

mass. Thuro (1997) summarized crushing process leading to the production <strong>of</strong> blast-hole cuttings under<br />

the buttons <strong>of</strong> a drill bit; around the contact <strong>of</strong> the button a new state <strong>of</strong> stress is induced in the rock,<br />

where four important destruction mechanisms can be distinguished: under the bit button a crushed zone<br />

<strong>of</strong> fine rock powder is formed (impact), starting from the from the crushed powdered zone, radial<br />

cracks are developed (induced tensile stress) when stress the rock is high enough large fragments <strong>of</strong> the<br />

rock can be sheared <strong>of</strong>f between the button grooves (shear stress) and added to the mechanisms above<br />

stress is induced periodically (dynamic process).<br />

Chiang and Elias (2000) identified that the impact frequency rate, the workings <strong>of</strong> air pressure,<br />

the thrust force and rotation torque are important in the generation <strong>of</strong> blast-hole cuttings. The last two<br />

parameters are estimated by reading the impact pressure to the hydraulic motor or hydraulic cylinder<br />

respectively. The brittleness which is defined as lack <strong>of</strong> ductility can aid fracture failure and formation


Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 722<br />

<strong>of</strong> fines (Morley, 1944 and Hetenyi, 1966). Blast-hole cuttings are debris, chippings or caving flushed<br />

by compressed air rock is attacked mechanically.<br />

In addition, to effectively remove the blast-hole cuttings, annular space should be about 17% <strong>of</strong><br />

the cross-sectional area <strong>of</strong> the blast-hole. If the percentage <strong>of</strong> the annular space is less than 17% then<br />

for every 1% reduction in this percentage the bailing velocity must be increased by 2% (Gokhale,<br />

2004). An estimated correlation factor on account <strong>of</strong> insufficient annular space is given as:<br />

aa = (1+ 0.02) [17-A] (1)<br />

Where A is the percentage <strong>of</strong> annular space for combination <strong>of</strong> bit and drill rods to be used in<br />

actual drilling (if A is more than 17% then aa should be given a value 1).<br />

Beste (2004) observed that it is difficult to get an overview <strong>of</strong> wear mechanisms <strong>of</strong> the rock<br />

drill bit. Shah and Wong (1997) were <strong>of</strong> the view that the contact geometry between tungsten-carbide<br />

insert and rock is complex. Wear <strong>of</strong> rock drill bit is a constant phenomenon in hard rock drilling which<br />

cannot be avoided; this may be a severe factor <strong>of</strong> cost for effective management <strong>of</strong> quarries, hence, a<br />

reasonable measurement and prediction would be desirable. Moreover, when the drilling time increases<br />

as well as low penetration rate, one can infer that the button <strong>of</strong> the bit is likely to be dull or worn and <strong>of</strong><br />

course this can lead to regrinding <strong>of</strong> blast-hole cuttings.<br />

Therefore, utilization <strong>of</strong> energy to achieve penetration, under normal condition depends on<br />

drillability <strong>of</strong> the rock; a certain amount <strong>of</strong> energy will be dissipated by rock breakage. It was<br />

discovered through research that when bit button is blunt after very few impacts the hammer will<br />

become useless because <strong>of</strong> plastic deformation. The bit which has the shortest span <strong>of</strong> all the three<br />

main components will last in the order <strong>of</strong> 120 million cycles and the main cause <strong>of</strong> the failure is wear<br />

(Chiang and Elias, 2000) and as the bit buttons wear out more fines are likely to be generated. The<br />

objective <strong>of</strong> this paper therefore, are to use blast-hole cuttings as a measure <strong>of</strong> bit wear rate as well<br />

correlate the weight retained at 75µm sieve size in order to establish their relationship.<br />

Materials and Method<br />

The materials for this work includes: blast-hole cuttings collected from 45 holes from three Nigeria<br />

quarries and drill bit<br />

Method<br />

The grain size <strong>of</strong> 45 blast-holes drill cuttings collected from three selected quarries were determined<br />

using standard method <strong>of</strong> America Society for Testing and Materials (ASTM) D 2487 and sieve <strong>of</strong> the<br />

following mesh sizes: 850 µm, 600µm, 425µm, 300µm, 212µm, 150µm, 75µm, and 63µm were used<br />

the results are presented in Table 1-45 and The wear <strong>of</strong> the gauge buttons were measured at regular<br />

interval this correlated with weight retained on 75µm sieve size.<br />

Result and Discussion<br />

Tables 1-46 present the size distribution <strong>of</strong> the blast-hole cutting, it is observe that as number <strong>of</strong> hole<br />

drill and wear increases the weight blast-hole cuttings retained on 850 µm decreases the weight <strong>of</strong><br />

blast-hole cuttings retained on the 75µm sieve size increases. All these point to the fact that it is likely<br />

that as bit button is blunt, regrinding <strong>of</strong> blast-hole occurs.<br />

Figure 1 shows the correlation between bit gauge button wear rate and weight <strong>of</strong> blast-hole<br />

cuttings retained on 75µm sieve size cuttings from Geovertrag Quarry, Ado-Ekiti. The polynomial<br />

relationship between Gauge button wear rate and weight <strong>of</strong> blast-hole cuttings retained on 75µm sieve<br />

size is expressed by equation 2 which is an equation <strong>of</strong> order 2 and R 2 = 0.957.<br />

Gw = -3E-05wt 2 + 0.003x - 0.099, R² = 0.957 (2)<br />

Where Gw is gauge wear rate and wt is the weight <strong>of</strong> blast-hole cuttings retained on 75µm<br />

sieve size. Figure 2 presents the correlation between bit gauge button wear rate and weight <strong>of</strong> blast-


723 Z.O. Opafunso and B. Adebayo<br />

hole cuttings retained at 75µm sieve size cuttings from Johnson Quarry, Akure. The power relationship<br />

between Gauge button wear rate and weight <strong>of</strong> blast-hole cuttings retained at 75µm sieve size is<br />

expressed by equation 3<br />

Gw = 3E-09wt 3.418 R² = 0.777 (3)<br />

Where Gw is gauge wear rate and wt is the weight <strong>of</strong> blast-hole cuttings retained at 75µm sieve<br />

size. Figure 3 shows the correlation between bit gauge button wear rate and weight <strong>of</strong> blast-hole<br />

cuttings retained at 75µm sieve size cuttings from Sonel Boneh Quarry, Ibadan. The polynomial<br />

relationship between Gauge button wear rate and weight <strong>of</strong> blast-hole cuttings retained on 75µm sieve<br />

size is expressed by equation 4 which is an equation <strong>of</strong> order 3 and R 2 = 0.729.<br />

Gw = -1E-06wt 3 +0.000wt 2 - 0.021wt + 0.544, R² = 0.729 (4)<br />

Where Gw is gauge wear rate and wt is the weight <strong>of</strong> blast-hole cuttings retained on 75µm<br />

sieve size.<br />

Figure 1: Plot <strong>of</strong> Wear Rate against Weight <strong>of</strong> Blast-hole Cuttings Retained for Geovertrag Quarry, Ado –<br />

Ekiti.


Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 724<br />

Figure 2: Plot <strong>of</strong> Wear Rate against Weight <strong>of</strong> Blast-hole Cuttings Retained for Johnson Quarry, Akure.<br />

Figure 3: Plot <strong>of</strong> Wear Rate against Weight <strong>of</strong> Blast-hole Cuttings Retained for Sonel Boneh Quarry, Ibadan.<br />

Table 1: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole One (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 140.64 35.16 400.00 0 100.00 0<br />

-850 + 600 600 49.60 12.40 259.36 140.64 64.84 35.16<br />

-600 + 425 425 45.20 11.30 209.76 190.24 52.44 47.56<br />

-425 + 300 300 48.96 12.24 164.56 235.44 41.14 58.86<br />

-300 + 212 212 28.40 7.10 115.60 284.40 28.90 71.10<br />

-212 + 150 150 24.80 6.20 87.20 312.80 21.80 78.20<br />

-150 + 75 75 62.40 15.60 62.40 337.60 15.60 84.40<br />

-75 + 63 63 0 0 0 400.00 0 100.00


725 Z.O. Opafunso and B. Adebayo<br />

Table 2: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Two (Govertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 140.36 35.09 400.00 0 100.00 0<br />

-850 + 600 600 45.60 11.40 259.64 140.36 64.91 35.09<br />

-600 + 425 425 41.20 10.30 214.04 185.96 53.51 46.49<br />

-425 + 300 300 44.96 11.24 172.84 227.16 43.21 56.79<br />

-300 + 212 212 32.40 8.10 127.88 272.12 31.97 68.03<br />

-212 + 150 150 28.80 7.20 95.48 304.52 23.87 76.13<br />

-150 + 75 75 66.68 16.67 66.68 333.32 16.67 83.33<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 3: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Three (Govertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 140.36 35.09 400.00 0 100.00 0<br />

-850 + 600 600 41.60 10.40 259.64 140.36 64.91 35.09<br />

-600 + 425 425 37.20 9.30 218.04 181.96 54.51 45.49<br />

-425 + 300 300 40.96 10.24 180.84 219.16 45.21 54.79<br />

-300 + 212 212 36.40 9.10 139.88 260.12 34.97 65.03<br />

-212 + 150 150 32.80 8.20 103.48 296.52 25.87 74.13<br />

-150 + 75 75 70.68 17.67 70.68 329.32 17.67 82.33<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 4: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Four (Govertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 138.00 34.50 400.00 0 100.00 0<br />

-850 + 600 600 37.60 9.40 262.00 138.00 65.50 34.50<br />

-600 + 425 425 33.20 8.30 224.40 175.00 56.10 43.90<br />

-425 + 300 300 40.96 10.24 191.20 208.80 47.80 52.20<br />

-300 + 212 212 40.40 10.10 150.24 249.76 37.56 62.44<br />

-212 + 150 150 36.80 9.20 109.84 290.16 27.46 72.54<br />

-150 + 75 75 73.04 18.26 73.04 326.96 18.26 81.74<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 5: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Five (Govertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 128.00 32.00 399.99 0.01 99.99 0.01<br />

-850 + 600 600 33.60 8.40 272.00 128.00 67.99 32.01<br />

-600 + 425 425 32.40 8.10 238.40 161.62 59.59 40.41<br />

-425 + 300 300 42.16 10.54 206.00 194.00 51.49 48.50<br />

-300 + 212 212 44.26 11.06 163.84 236.68 40.95 59.05<br />

-212 + 150 150 42.00 10.50 119.58 280.42 29.89 70.01<br />

-150 + 75 75 77.58 19.39 77.59 322.40 19.39 80.60<br />

-75 + 63 63 0 0 0.01 399.99 0.01 99.99


Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 726<br />

Table 6: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Six (Govertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 128.00 32.00 400.00 0 100.00 0<br />

-850 + 600 600 32.40 8.10 272.00 128.00 68.00 32.00<br />

-600 + 425 425 32.08 8.02 239.60 160.40 59.90 40.10<br />

-425 + 300 300 41.04 10.26 207.52 192.48 51.88 48.12<br />

-300 + 212 212 47.04 11.76 166.48 233.52 41.62 58.38<br />

-212 + 150 150 40.44 10.11 119.44 280.56 29.86 70.14<br />

-150 + 75 75 79.00 19.75 79.00 321.00 19.75 80.25<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 7: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Seven (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm)<br />

MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 118.40 29.60 400.00 0 100.00 0<br />

-850 + 600 600 31.60 7.90 281.60 118.40 70.40 29.60<br />

-600 + 425 425 31.44 7.86 250.00 150.00 62.50 37.50<br />

-425 + 300 300 41.84 10.46 218.56 181.44 54.64 45.36<br />

-300 + 212 212 47.32 11.83 176.72 223.28 44.18 55.82<br />

-212 + 150 150 46.96 11.74 129.40 270.60 32.35 67.65<br />

-150 + 75 75 82.44 20.61 82.44 317.56 20.61 79.39<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 8: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Eight (Geovertrag Quarry,Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 114.00 28.50 400.00 0 100.00 0<br />

-850 + 600 600 30.00 7.50 286.00 114.00 71.50 28.50<br />

-600 + 425 425 29.84 7.46 256.00 144.00 64.00 36.00<br />

-425 + 300 300 41.04 10.26 226.16 173.84 56.54 43.46<br />

-300 + 212 212 47.32 11.83 185.12 214.88 46.28 53.72<br />

-212 + 150 150 50.16 12.54 137.80 262.20 34.45 65.55<br />

-150 + 75 75 87.64 21.91 87.64 312.36 21.91 78.09<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 9: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Nine (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 113.20 28.30 400.00 0 100.00 0<br />

-850 + 600 600 28.40 7.10 286.80 113.20 71.70 28.30<br />

-600 + 425 425 28.64 7.16 258.40 141.60 64.64 35.40<br />

-425 + 300 300 40.64 10.16 229.76 170.24 57.44 42.56<br />

-300 + 212 212 48.92 12.23 189.12 210.88 47.28 52.72<br />

-212 + 150 150 52.56 13.14 140.20 259.80 35.05 64.95<br />

-150 + 75 75 87.64 21.91 87.64 312.36 21.91 78.09<br />

-75 + 63 63 0 0 0 400.00 0 100.00


727 Z.O. Opafunso and B. Adebayo<br />

Table 10: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Ten (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 112.68 28.17 400.00 0 100.00 0<br />

-850 + 600 600 20.40 5.10 287.52 112.68 71.83 28.17<br />

-600 + 425 425 22.64 5.66 266.92 133.08 66.73 33.27<br />

-425 + 300 300 43.60 10.90 244.28 155.72 61.07 38.93<br />

-300 + 212 212 52.92 13.23 200.68 199.32 50.17 49.83<br />

-212 + 150 150 53.36 13.34 147.76 252.24 36.94 63.06<br />

-150 + 75 75 94.40 23.60 94.40 305.60 23.60 76.40<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 11: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Eleven (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 112.28 28.07 400.00 0 100 0<br />

-850 + 600 600 20.80 5.20 287.72 112.80 71.93 28.07<br />

-600 + 425 425 22.64 5.66 266.92 133.08 66.73 33.27<br />

-425 + 300 300 43.60 10.90 244.28 155.72 61.07 38.93<br />

-300 + 212 212 52.92 13.23 200.68 199.32 50.17 49.83<br />

-212 + 150 150 53.36 13.34 147.76 252.24 36.94 63.06<br />

-150 + 75 75 94.40 23.60 94.40 305.60 23.60 76.40<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 12: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Twelve (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 112.28 28.07 400.00 0 100 0<br />

-850 + 600 600 20.80 5.20 287.72 112.80 71.93 28.07<br />

-600 + 425 425 22.64 5.66 266.92 133.08 66.73 33.27<br />

-425 + 300 300 43.60 10.90 244.28 155.72 61.07 38.93<br />

-300 + 212 212 52.92 13.23 200.68 199.32 50.17 49.83<br />

-212 + 150 150 53.36 13.34 147.76 252.24 36.94 63.06<br />

-150 + 75 75 94.40 23.60 94.40 305.60 23.60 76.40<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 13: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Thirteen (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 112.00 28.00 400.00 0 100.00 0<br />

-850 + 600 600 20.80 5.20 288.00 112.00 72.00 28.00<br />

-600 + 425 425 22.40 5.60 267.20 132.80 66.80 33.20<br />

-425 + 300 300 43.20 10.80 244.80 155.20 61.20 38.80<br />

-300 + 212 212 52.80 13.20 201.60 198.40 50.40 49.60<br />

-212 + 150 150 52.96 13.24 148.80 251.20 37.20 62.80<br />

-150 + 75 75 95.84 23.96 95.84 304.16 23.96 76.04<br />

-75 + 63 63 0 0 0 400.00 0 100.00


Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 728<br />

Table 14: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Fourteen (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 112.00 28.00 400.00 0 100.00 0<br />

-850 + 600 600 20.80 5.20 288.00 112.00 72.00 28.00<br />

-600 + 425 425 22.40 5.60 267.20 132.80 66.80 33.20<br />

-425 + 300 300 43.20 10.80 244.80 155.20 61.20 38.80<br />

-300 + 212 212 52.80 13.20 201.60 198.40 50.40 49.60<br />

-212 + 150 150 52.96 13.24 148.80 251.20 37.20 62.80<br />

-150 + 75 75 95.84 23.96 95.84 304.16 23.96 76.04<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 15: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Fifteen (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 107.44 26.86 400.00 0 100.00 0<br />

-850 + 600 600 20.80 5.20 292.56 107.44 73.14 26.86<br />

-600 + 425 425 22.40 5.60 271.76 128.24 67.94 32.06<br />

-425 + 300 300 43.20 10.80 249.36 150.64 62.34 37.66<br />

-300 + 212 212 52.80 13.20 206.16 193.84 51.54 48.46<br />

-212 + 150 150 52.96 13.24 153.36 246.64 38.34 61.66<br />

-150 + 75 75 100.40 25.10 100.40 299.60 25.10 74.90<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 16: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Sixteen (Geovertrag Quarry, Ado- Ekiti)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 107.44 26.86 400.00 0 100.00 0<br />

-850 + 600 600 20.80 5.20 292.56 107.44 73.14 26.86<br />

-600 + 425 425 22.40 5.60 271.76 128.24 67.94 32.06<br />

-425 + 300 300 43.20 10.80 249.36 150.64 62.34 37.66<br />

-300 + 212 212 52.80 13.20 206.16 193.84 51.54 48.46<br />

-212 + 150 150 52.96 13.24 153.36 246.64 38.34 61.66<br />

-150 + 75 75 100.40 25.10 100.40 299.60 25.10 74.90<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 17: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole One (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 140.40 35.10 400.00 0 100.00 0<br />

-850 + 600 600 41.60 10.40 259.60 191.20 64.90 35.10<br />

-600 + 425 425 38.40 9.60 218.00 182.00 54.50 45.50<br />

-425 + 300 300 44.96 11.24 179.60 220.40 44.90 55.10<br />

-300 + 212 212 37.56 9.39 134.64 265.36 33.66 66.34<br />

-212 + 150 150 34.40 8.60 97.08 302.92 24.27 75.73<br />

-150 + 75 75 62.68 15.67 62.68 337.32 15.67 84.33<br />

-75 + 63 63 0 0 0 400.00 0 100.00


729 Z.O. Opafunso and B. Adebayo<br />

Table 18: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Two (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 136.68 34.17 400.00 0 100.00 0<br />

-850 + 600 600 40.80 10.20 263.32 136.68 65.83 34.17<br />

-600 + 425 425 34.24 8.56 222.52 177.48 55.63 44.37<br />

-425 + 300 300 43.32 10.83 188.28 211.72 47.07 52.93<br />

-300 + 212 212 41.00 10.25 144.28 255.04 36.24 63.76<br />

-212 + 150 150 39.12 9.78 103.96 296.04 25.99 74.01<br />

-150 + 75 75 64.84 16.21 64.84 335.16 16.21 83.79<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 19: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Three (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 132.80 33.20 400.00 0 100.00 0<br />

-850 + 600 600 38.40 9.60 267.20 132.8 66.80 33.20<br />

-600 + 425 425 34.80 8.70 228.80 171.20 57.20 42.80<br />

-425 + 300 300 39.36 9.84 194.00 206.00 48.50 51.50<br />

-300 + 212 212 40.80 10.20 154.64 245.36 38.66 61.34<br />

-212 + 150 150 36.40 9.10 113.84 286.16 28.46 71.54<br />

-150 + 75 75 77.44 19.36 77.44 322.56 19.36 80.64<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 20: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Four (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained<br />

Cum Wt<br />

Retained(g)<br />

Cum wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 128.00 32.00 400.00 0 100.00 0<br />

-850 +600 600 35.60 8.90 272.00 128.00 68.00 32.00<br />

-600+ 425 425 32.00 8.00 236.40 163.60 59.10 40.90<br />

-425 +300 300 40.72 10.18 204.40 195.60 51.10 48.90<br />

-300 +212 212 42.72 10.68 163.68 236.32 40.92 59.08<br />

-212 +150 150 38.00 9.50 120.96 279.04 30.24 69.76<br />

-150 + 75 75 82.96 20.74 82.96 317.04 20.74 79.26<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 21: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Five (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 126.00 31.50 400.00 0 100.00 0<br />

-850 + 600 600 34.00 8.50 274.00 126.00 68.50 31.50<br />

-600 + 425 425 32.00 8.00 240.00 160.00 60.00 40.00<br />

-425 + 300 300 40.32 10.08 208.00 192.00 52.00 48.00<br />

-300 + 212 212 43.52 10.88 167.68 232.32 41.92 58.08<br />

-212 + 150 150 39.20 9.80 124.16 275.84 31.04 68.96<br />

-150 + 75 75 84.96 21.24 84.96 315.04 21.24 78.76<br />

-75 + 63 63 0 0 0 400.00 0 100.00


Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 730<br />

Table 22: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Six (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 121.20 30.30 400.00 0 100.00 0<br />

-850 + 600 600 32.40 8.10 278.80 121.20 69.70 30.30<br />

-600 + 425 425 32.00 8.00 246.40 153.60 61.60 38.40<br />

-425 + 300 300 40.96 10.24 214.40 185.60 53.60 46.40<br />

-300 + 212 212 41.04 10.26 173.44 226.56 43.36 56.64<br />

-212 + 150 150 43.20 10.80 132.40 267.60 33.10 66.90<br />

-150 + 75 75 89.20 22.30 89.20 310.80 22.30 77.70<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 23: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Seven (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 116.80 29.20 400.00 0 100.00 0<br />

-850 + 600 600 30.40 7.60 383.20 116.80 70.80 29.20<br />

-600 + 425 425 31.68 7.92 252.80 147.20 63.20 36.80<br />

-425 + 300 300 40.64 10.16 221.12 178.86 55.28 44.72<br />

-300 + 212 212 41.84 10.46 180.48 219.52 45.12 54.88<br />

-212 + 150 150 44.40 11.10 138.64 261.36 34.66 65.34<br />

-150 + 75 75 94.24 23.56 94.24 305.76 23.56 76.44<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 24: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Eight (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 112.60 28.15 400.00 0 100.00 0<br />

-850 + 600 600 29.60 7.40 287.40 112.60 71.85 28.15<br />

-600 + 425 425 30.08 7.52 257.80 142.20 64.45 35.55<br />

-425 + 300 300 39.28 9.82 227.72 172.26 56.93 43.07<br />

-300 + 212 212 43.44 10.86 188.44 211.56 47.11 52.89<br />

-212 + 150 150 47.36 11.84 145.00 255.00 36.25 63.75<br />

-150 + 75 75 97.64 24.41 97.64 302.36 24.41 75.59<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 25: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Nine (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size(µm)<br />

MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 106.40 26.60 400.00 0 100.00 0<br />

-850 + 600 600 28.60 7.15 293.60 106.40 73.40 26.60<br />

-600 + 425 425 29.28 7.32 265.00 135.00 66.25 33.75<br />

-425 + 300 300 42.20 10.55 235.72 164.28 58.93 41.07<br />

-300 + 212 212 45.04 11.26 193.52 206.48 48.38 51.62<br />

-212 + 150 150 47.44 11.86 148.48 251.52 37.12 62.88<br />

-150 + 75 75 101.04 25.26 101.04 298.96 25.26 74.74<br />

-75 + 63 63 0 0 0 400.00 0 100


731 Z.O. Opafunso and B. Adebayo<br />

Table 26: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Ten (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 99.20 24.80 400.00 0 100.00 0<br />

-850 + 600 600 28.40 7.10 300.80 99.20 75.20 24.80<br />

-600 + 425 425 28.64 7.16 272.40 127.80 68.10 31.90<br />

-425 + 300 300 36.64 9.16 243.76 156.24 60.94 39.06<br />

-300 + 212 212 48.93 12.23 207.12 192.88 51.78 48.22<br />

-212 + 150 150 49.36 12.34 158.20 241.80 39.55 60.45<br />

-150 + 75 75 108.84 27.21 108.84 291.16 27.21 72.79<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 27: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Eleven (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 98.40 24.60 400.00 0 100.00 0<br />

-850 + 600 600 28.80 7.20 301.60 98.40 75.40 24.60<br />

-600 + 425 425 29.04 7.26 272.80 127.20 68.20 31.80<br />

-425 + 300 300 36.64 9.16 243.76 156.24 60.94 39.06<br />

-300 + 212 212 48.92 12.23 207.12 192.88 51.78 48.22<br />

-212 + 150 150 49.36 12.34 158.20 241.80 39.55 60.45<br />

-150 + 75 75 108.84 27.21 108.84 291.16 27.21 72.79<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 28: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Twelve (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm)<br />

MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 98.40 24.60 400.00 0 100.00 0<br />

-850 + 600 600 28.80 7.20 301.60 98.40 75.40 24.60<br />

-600 + 425 425 29.04 7.26 272.80 127.20 68.20 31.80<br />

-425 + 300 300 36.64 9.16 243.76 156.24 60.94 39.06<br />

-300 + 212 212 48.92 12.23 207.12 192.88 51.78 48.22<br />

-212 + 150 150 49.36 12.34 158.20 241.80 39.55 60.45<br />

-150 + 75 75 108.84 27.21 108.84 291.16 27.21 72.79<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 29: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Thirteen (Johnson Construction Ltd, Quarry,<br />

Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 98.04 24.51 400.00 0 100.00 0<br />

-850 + 600 600 28.60 7.15 301.96 98.04 75.49 24.51<br />

-600 + 425 425 28.80 7.20 273.36 126.64 68.34 31.66<br />

-425 + 300 300 36.88 9.22 244.56 155.44 61.14 38.86<br />

-300 + 212 212 49.00 12.25 207.68 192.32 51.92 48.08<br />

-212 + 150 150 49.44 12.36 158.68 241.32 39.67 60.33<br />

-150 + 75 75 109.24 27.31 109.24 290.76 27.31 72.69<br />

-75 + 63 63 0 0 0 400.00 0 100.00


Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 732<br />

Table 30: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Fourteen (Johnson Construction Ltd, Quarry,<br />

Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 98.04 24.51 400.00 0 100.00 0<br />

-850 + 600 600 28.60 7.15 301.96 98.04 75.49 24.51<br />

-600 + 425 425 28.80 7.20 273.36 126.64 68.34 31.66<br />

-425 + 300 300 36.88 9.22 244.56 155.44 61.14 38.86<br />

-300 + 212 212 49.00 12.25 207.68 192.32 51.92 48.08<br />

-212 + 150 150 49.44 12.36 158.68 241.32 39.67 60.33<br />

-150 + 75 75 109.24 27.31 109.24 290.76 27.31 72.69<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 31: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Fifteen (Johnson Construction Ltd, Quarry, Akure)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 97.64 24.41 400.00 0 100.00 0<br />

-850 + 600 600 28.60 7.15 302.36 97.64 75.59 24.41<br />

-600 + 425 425 28.80 7.20 273.76 126.24 68.44 31.56<br />

-425 + 300 300 37.00 9.25 244.96 155.04 61.24 38.76<br />

-300 + 212 212 49.00 12.25 207.96 192.04 51.99 48.01<br />

-212 + 150 150 49.44 112.36 158.96 141.04 39.74 60.26<br />

-150 + 75 75 109.52 27.38 109.52 290.48 27.38 72.62<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 32: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole One (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 144.68 36.17 399.98 0.02 99.98 0<br />

-850 + 600 600 46.46 11.60 255.32 144.68 63.81 0.01<br />

-600 + 425 425 41.32 10.33 208.86 191.14 52.21 36.19<br />

-425 + 300 300 47.64 11.91 167.54 232.46 41.88 47.79<br />

-300 + 212 212 33.40 8.35 119.90 280.10 29.97 58.12<br />

-212 + 150 150 28.88 7.22 86.50 313.90 21.62 70.03<br />

-150 + 75 75 57.60 14.40 57.62 342.38 14.40 78.38<br />

-75 + 63 63 0 0 0.02 399.98 0 85.60<br />

Table 33: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Two (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 140.80 35.20 400.00 0 100.00 0<br />

-850 + 600 600 41.60 10.40 259.20 140.80 64.80 35.20<br />

-600 + 425 425 38.40 9.60 217.60 182.40 54.40 45.60<br />

-425 + 300 300 44.96 11.24 179.20 220.80 44.80 55.20<br />

-300 + 212 212 37.56 9.39 134.24 265.76 33.56 66.44<br />

-212 + 150 150 34.40 8.60 96.68 303.32 24.17 75.83<br />

-150 + 75 75 62.28 15.57 62.28 337.72 15.57 84.43<br />

-75 + 63 63 0 0 0 400.00 0 100.00


733 Z.O. Opafunso and B. Adebayo<br />

Table 34: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Three (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 140.80 35.20 400.00 0 100.00 0<br />

-850 + 600 600 38.40 9.60 259.20 140.80 64.80 35.20<br />

-600 + 425 425 34.80 8.70 220.80 179.20 55.20 44.80<br />

-425 + 300 300 39.36 9.84 186.00 214.00 46.50 53.50<br />

-300 + 212 212 40.80 10.20 146.64 253.36 36.66 63.34<br />

-212 + 150 150 40.40 10.10 105.84 294.16 26.46 73.54<br />

-150 + 75 75 65.44 16.36 65.44 334.56 16.36 83.64<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 35: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Four (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 140.00 35.00 400.00 0 100.00 0<br />

-850 + 600 600 34.00 8.50 260.00 140.00 65.00 35.00<br />

-600 + 425 425 32.00 8.00 226.00 174.00 56.50 43.50<br />

-425 + 300 300 40.32 10.08 194.00 206.00 48.50 51.50<br />

-300 + 212 212 43.52 10.88 153.68 246.32 38.42 61.58<br />

-212 + 150 150 39.20 9.80 110.16 289.84 27.54 72.46<br />

-150 + 75 75 70.96 17.74 70.96 329.04 17.74 82.26<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 36: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Five (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 133.60 33.40 400.00 0 100.00 0<br />

-850 + 600 600 30.80 7.70 266.40 133.60 66.60 33.40<br />

-600 + 425 425 29.60 7.40 235.60 164.40 58.90 41.10<br />

-425 + 300 300 40.16 10.04 206.00 194.00 51.50 48.50<br />

-300 + 212 212 47.44 11.86 165.84 234.16 41.46 58.54<br />

-212 + 150 150 46.40 11.60 118.40 281.60 29.60 70.40<br />

-150 + 75 75 72.00 18.00 72.00 328.00 18.00 82.00<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 37: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Six (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 129.20 32.30 400.00 0.02 99.95 0.01<br />

-850 + 600 600 29.20 7.30 270.80 129.20 67.65 32.39<br />

-600 + 425 425 29.28 7.32 241.60 158.40 60.35 39.65<br />

-425 + 300 300 38.48 9.62 212.32 187.66 53.03 46.97<br />

-300 + 212 212 48.42 12.06 173.84 226.18 43.41 56.59<br />

-212 + 150 150 48.56 12.14 125.42 274.58 31.35 68.65<br />

-150 + 75 75 76.84 19.21 76.86 323.14 19.21 80.79<br />

-75 + 63 63 0 0 0.02 399.98 0 99.99


Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 734<br />

Table 38: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Seven (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 121.60 30.40 400.00 0 100.00 0<br />

-850 + 600 600 28.40 7.10 278.40 121.80 69.60 30.40<br />

-600 + 425 425 28.64 7.16 250.00 150.00 62.50 37.50<br />

-425 + 300 300 38.64 9.66 221.36 178.64 55.34 44.66<br />

-300 + 212 212 50.92 12.73 182.72 217.28 45.68 54.32<br />

-212 + 150 150 54.16 13.54 131.80 268.20 32.95 67.05<br />

-150 + 75 75 77.64 19.41 77.64 322.38 19.41 80.59<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 39: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Eight (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 110.40 27.60 400.00 0 100.00 0<br />

-850 + 600 600 28.00 7.00 289.60 110.40 72.40 27.60<br />

-600 + 425 425 31.44 7.86 261.60 138.40 65.40 34.60<br />

-425 + 300 300 38.24 9.56 230.16 169.84 57.54 42.46<br />

-300 + 212 212 51.72 12.93 191.92 208.08 47.98 52.02<br />

-212 + 150 150 56.16 14.04 140.20 259.80 35.05 64.99<br />

-150 + 75 75 84.04 21.01 84.04 315.96 21.01 79.99<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 40: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Nine (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 101.68 25.42 400.00 0 100.00 0<br />

-850 + 600 600 25.60 6.40 298.32 131.68 74.58 25.42<br />

-600 + 425 425 25.84 6.46 272.72 127.28 68.18 31.82<br />

-425 + 300 300 38.56 9.64 246.88 153.12 61.72 38.28<br />

-300 + 212 212 56.12 14.03 208.32 371.68 52.08 47.92<br />

-212 + 150 150 57.36 14.34 152.20 247.60 38.05 61.95<br />

-150 + 75 75 94.84 23.71 94.84 305.16 23.71 76.29<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 41: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Ten (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 96.00 24.00 400.00 0 100.00 0<br />

-850 + 600 600 20.00 5.00 304.00 96.00 76.00 24.00<br />

-600 + 425 425 20.24 5.06 284.00 116.00 71.00 29.00<br />

-425 + 300 300 40.28 10.07 263.76 136.24 65.94 34.06<br />

-300 + 212 212 59.32 14.83 223.48 176.52 55.87 44.13<br />

-212 + 150 150 59.76 14.94 164.16 235.84 41.04 58.96<br />

-150 + 75 75 104.40 26.10 104.40 295.60 26.10 73.90<br />

-75 + 63 63 0 0 0 400.00 0 100.00


735 Z.O. Opafunso and B. Adebayo<br />

Table 42: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Eleven (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 95.60 23.90 400.00 0 100.00 0<br />

-850 + 600 600 19.60 4.90 304.40 95.60 76.10 23.90<br />

-600 + 425 425 19.84 4.96 284.80 115.20 71.20 28.80<br />

-425 + 300 300 40.28 10.07 264.96 135.04 66.24 33.76<br />

-300 + 212 212 59.72 14.93 224.68 175.32 56.17 43.83<br />

-212 + 150 150 60.16 15.04 164.96 235.04 41.24 58.76<br />

-150 + 75 75 104.80 26.20 104.80 295.20 26.20 73.80<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 43: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Twelve (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 95.60 23.90 400.00 0 100.00 0<br />

-850 + 600 600 19.60 4.90 304.40 95.60 76.10 23.90<br />

-600 + 425 425 19.84 4.96 284.80 115.20 71.20 28.80<br />

-425 + 300 300 40.28 10.07 264.96 135.04 66.24 33.76<br />

-300 + 212 212 59.72 14.93 224.68 175.32 56.17 43.83<br />

-212 + 150 150 60.16 15.04 164.96 235.04 41.24 58.76<br />

-150 + 75 75 104.80 26.20 104.80 295.20 26.20 73.80<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 44: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Thirteen (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 95.20 23.80 400.00 0 100.00 0<br />

-850 + 600 600 19.60 4.90 304.80 95.20 76.20 23.80<br />

-600 + 425 425 19.44 4.86 285.20 114.80 71.30 28.70<br />

-425 + 300 300 39.88 9.97 265.76 134.24 66.44 33.56<br />

-300 + 212 212 60.12 15.03 225.88 174.12 56.47 43.53<br />

-212 + 150 150 60.56 15.14 165.76 234.24 41.44 58.56<br />

-150 + 75 75 105.20 26.30 105.20 294.80 26.30 73.70<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Table 45: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Fourteen (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 95.20 23.80 400.00 0 100.00 0<br />

-850 + 600 600 19.60 4.90 304.80 95.20 76.20 23.80<br />

-600 + 425 425 19.44 4.86 285.20 114.80 71.30 28.70<br />

-425 + 300 300 39.88 9.97 265.76 134.24 66.44 33.56<br />

-300 + 212 212 60.12 15.03 225.88 174.12 56.47 43.53<br />

-212 + 150 150 60.56 15.14 165.76 234.24 41.44 58.56<br />

-150 + 75 75 105.20 26.30 105.20 294.80 26.30 73.70<br />

-75 + 63 63 0 0 0 400.00 0 100.00


Blast-Hole Cuttings: An Indicator <strong>of</strong> Drill Bit Wear in Quarries 736<br />

Table 46: Sieve Analysis <strong>of</strong> Drill Cuttings from Blast-hole Fifteen (Sonel Boneh, Quarry, Ibadan)<br />

Sieve Size (µm) MeanSieve<br />

Size (µm)<br />

Wt<br />

Retained(g)<br />

%Wt<br />

Retained%<br />

Cum Wt<br />

Retained(g)<br />

Cum Wt<br />

Passing(g)<br />

Cum %<br />

Retained<br />

Cum %<br />

Passing<br />

850 850 94.80 23.70 400.00 0 100.00 0<br />

-850 + 600 600 19.60 4.90 305.20 94.80 76.30 23.70<br />

-600 + 425 425 19.44 4.86 228.50 114.40 71.40 28.60<br />

-425 + 300 300 39.88 9.97 266.16 133.84 66.54 33.46<br />

-300 + 212 212 60.52 15.13 226.28 173.72 56.57 43.43<br />

-212 + 150 150 60.56 15.14 165.76 234.24 41.44 58.56<br />

-150 + 75 75 105.20 26.30 105.20 294.80 26.30 73.70<br />

-75 + 63 63 0 0 0 400.00 0 100.00<br />

Conclusion<br />

The paper has examined the relationship between gauge button wear rate and blast-hole cuttings<br />

retained on 75µm sieve size. It was observed as bit buttons wear blast-hole cuttings become finer this is<br />

due to regrinding instead <strong>of</strong> penetrating the rock mass. Strong relationship exists between gauge bit<br />

button wear rate and weight <strong>of</strong> blast-hole cuttings retained on 75µm sieve size for the three selected<br />

quarries.<br />

References<br />

[1] Beste, U. (2004): On Nature <strong>of</strong> Cemented Carbide Wear in Rock Drilling, Doctorial Thesis,<br />

Department <strong>of</strong> Engineering Science,Uppsala University Uppsala, Sweden.<br />

[2] Chiang, L.E. and Elias, D.A. (2000): Modelling Impact in Down-the-Hole Rock drilling,<br />

International <strong>Journal</strong> <strong>of</strong> Rock Mechanics and Mining sciences, 37 (2000), pp 599-613.<br />

[3] Gokhale, B.V. (2004): Flushing <strong>of</strong> Blast-hole, http://rockproducts.com pp 1-4<br />

[4] Hetenyi, M. (1966): Hand book <strong>of</strong> Experimental Stress Analysis, Wiley New-York, and 115<br />

pp.<br />

[5] Howarth, D.F., Adamson, W.R. and Berndt, T.R. (1986): Correlation <strong>of</strong> Model Tunnel<br />

Boring and Drilling Machine Performance with Rock Properties, International <strong>Journal</strong> <strong>of</strong> Rock<br />

Mechanics and Mining sciences, 23, pp 171-175 [Technical Note].<br />

[6] Morley, A. (1944): Strength <strong>of</strong> Materials, Longman London, 35pp.<br />

[7] Shah, K.R. and Wong, T.F. (1997): Fracturing at Contact Surfaces Subjected to Normal and<br />

Tangential Load, International <strong>Journal</strong> <strong>of</strong> Rock Mechanics, Mining sciences and<br />

Geomechanics, 1997; 3(5), pp 727-739.<br />

[8] Thuro, K. (1997): Drillability Prediction - Geological Influences in Hard Rock Drill and Blast<br />

Tunneling, Geol. Rundsch 86, pp. 426 – 437.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.737-745<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Assessment <strong>of</strong> Micro-Credit Supply by Country Women<br />

Association <strong>of</strong> Nigeria (Cowan) to Rural Women in<br />

Ondo State, Nigeria<br />

M.G. Olujide<br />

Department <strong>of</strong> Agricultural Extension & Rural Development<br />

University <strong>of</strong> Ibadan, Ibadan, Nigeria<br />

E-mail: gbengaolujide@yahoo.com, mg.olujide@ui.mail.edu.ng<br />

Abstract<br />

Most Nigerian rural farmers are small scale farmers who require small amount <strong>of</strong><br />

loan to help them improve their production. One <strong>of</strong> the avenue by which the rural women<br />

obtain loan is through the Country Women Association <strong>of</strong> Nigeria (COWAN).<br />

This paper assessed the micro credit supply by COWAN to rural women in Ondo<br />

State, Nigeria and specifically find out demographic characteristics <strong>of</strong> respondents,<br />

examine the conditions for granting loan, attitude <strong>of</strong> the rural women towards COWAN<br />

micro credit scheme, ascertain amount <strong>of</strong> micro-credit provided, ways by which rural<br />

women utilizes the micro-credit, the timeliness <strong>of</strong> micro-credits and examine the<br />

constraints facing rural women towards getting the micro credit.<br />

One hundred and six rural women was selected in four Local Government areas <strong>of</strong><br />

Ondo state, using multi-stage random sampling technique.<br />

The result revealed that majority (64.1%) <strong>of</strong> the rural women had age ranges<br />

between 21 and 40 years, 76.4% <strong>of</strong> them are married, 9.4% were single, 10.4% were<br />

divorced and the remaining 3.8% <strong>of</strong> them were divorced. Majority (78.3%) were<br />

Christians, had adult literacy 5.7%, 27.4% had primary education, 17% had secondary<br />

education, 16% <strong>of</strong> them had no formal education and 8.5% <strong>of</strong> them had higher education.<br />

On the attitude <strong>of</strong> rural women, 16% <strong>of</strong> the respondents fall into the Low attitude<br />

score towards COWAN micro credit. The majority (84%) <strong>of</strong> them fall into high attitude<br />

score.<br />

The result further revealed that 42.5% <strong>of</strong> the respondents obtained the sum <strong>of</strong><br />

N5,000:00 – N10,000:00 as micro credit and 43.4% <strong>of</strong> them obtained the sum <strong>of</strong><br />

N11,000:00 – N16,000:00 micro credit while 14.1% obtained above N16,000:00 as micro<br />

credit from COWAN.<br />

The respondents used the micro credit obtained from COWAN for farming (85.5%)<br />

and remaining 14.5% <strong>of</strong> them for trading.<br />

The constraints identified by respondents include lack <strong>of</strong> funds (37.7%), short<br />

period <strong>of</strong> repayment (28.7%) and Loan defaulters 16% as their major constraints. The<br />

benefits derived from COWAN micro credit include increase in production (75.5%).<br />

The study revealed that marital status, age, position among husbands wife, number<br />

<strong>of</strong> children, educational level and religion have no significant relationship with the micro<br />

credit received from COWAN group while the occupation <strong>of</strong> the respondents has a<br />

significant relationship with the micro credit received.


Assessment <strong>of</strong> Micro-Credit Supply by Country Women Association <strong>of</strong><br />

Nigeria (Cowan) to Rural Women in Ondo State, Nigeria 738<br />

Based on the findings <strong>of</strong> the study, it is recommended that lump sum <strong>of</strong> money<br />

should be granted to rural women to enhance their productivity so as to change their living<br />

status.<br />

Keywords: Micro-Credit, Supply, COWAN and Rural Women.<br />

Introduction<br />

Credit is the process <strong>of</strong> obtaining control over the use <strong>of</strong> money, good and services in the present in<br />

exchange for a promise to pay at a future date (Adegeye and Dittoh, 1985). It is a capital resources<br />

used in production that is a monetary resources, which can take the form <strong>of</strong> money in cash or bank<br />

draft or in kind as a firm <strong>of</strong> biological and physical purchased and supplied to producers.<br />

The purpose <strong>of</strong> any saving and credit programme is to enable people gain access on reasonable<br />

terms to assets, which they can use to improve their livelihood. Virtually all societies, households and<br />

individual save and borrow money, saving take place during periods when income exceeds<br />

expenditure.<br />

The micro credit scheme was an evolutionary process <strong>of</strong> merging and refining traditional and<br />

other practices which are indigenous to our people, an adapted to their most felt needs and experience.<br />

These traditional credit systems usually involve: a group <strong>of</strong> people pooling resources together;<br />

voluntary membership and consensus based on decision making; regular monetary contribution; and<br />

access to credit from group on rotational and interest-free basis.<br />

Micro-credit programmes however extend small loan to people for employment project that<br />

generate income, allowing them to care for themselves and their family. In Nigeria, micro-credit<br />

programmes <strong>of</strong>fer a combination <strong>of</strong> services and resources to their client in addition to credit. These<br />

<strong>of</strong>ten include saving facilities, training, networking and peer support (McKean, C.S. 1989).<br />

According to Williams (1993) rural women are major contributors to subsistence agriculture as<br />

producers and marketers, they also engaged in keeping poultry, small animals such as sheep, goats,<br />

rabbits and dairy cattle. However, inspite <strong>of</strong> their prominent feature in agricultural production, they are<br />

usually under remunerated in terms <strong>of</strong> financial gains, social acceptability, appreciation and time taken<br />

<strong>of</strong>f when compared with men (Aweto, 1996).<br />

The basic assumption is that rural women are usually resource poor, lack necessary information<br />

to take vital decisions to improve their conditions <strong>of</strong> living and consequently do not have access to the<br />

government organs or agencies set up to ameliorate their hardship since rural women are known to be<br />

hard working, it is assumed that if their attitude are changed through training and they become exposed<br />

to the wherewithal by which they can improve their conditions, they will be motivated to engage more<br />

in enterprise development and consequently increase their income to enhance their standard <strong>of</strong> living<br />

(Brown, 1979). Hence, they will be able to decide on who to approach, for what, when and what to<br />

engage in. Therefore, COWAN intends to provide this vital linkage with resource input and equip rural<br />

women with the management skill required for successfully managing their income generating<br />

activities (Ogunleye, 2000).<br />

The issue <strong>of</strong> micro-credit has been taking a centre stage <strong>of</strong> discussions on rural development<br />

and poverty alleviation, Non-governmental organization, governments, the people have discovered that<br />

for effective rural development to thrive, issues <strong>of</strong> micro credit should form a cardinal programme.<br />

Emerging trends have pointed to the fact that the role <strong>of</strong> micro-credit has became far from what is used<br />

to be considered as poverty alleviation strategies and as a vehicle for providing financial services to the<br />

poor (Olujide, 1999).<br />

Micro-credit as it is <strong>of</strong>ten referred to has been adjudged as a catalyst for sustainable<br />

development. It goes beyond just a programme <strong>of</strong> economic empowerment that target saver and<br />

provision <strong>of</strong> credit transaction for low income and underprivileged groups to actual capacity building


739 M.G. Olujide<br />

through the provision <strong>of</strong> technical assistance to the most vulnerable group with the classification <strong>of</strong> the<br />

poor (Imam, 1998).<br />

The roles <strong>of</strong> micro-credit as a poverty alleviation strategy and a vehicle for providing financial<br />

services to the poor have continued to gain prominence in the society. The connect is not far fetched,<br />

this is because developing a broad based <strong>of</strong> micro-entrepreneurs in any economy is consequential to<br />

the sustenance <strong>of</strong> its growth and development process (Olujide, 1999).<br />

The Country Women Association <strong>of</strong> Nigeria (COWAN) is an apex non-governmental<br />

organization for recognition and advancement <strong>of</strong> rural women in agriculture, economic and decision<br />

making for a total utilization and development <strong>of</strong> the nations vital human and natural resources and<br />

talent for self-reliance. It is COWANs vision to have a society free from indignity and oppression <strong>of</strong><br />

peoples knowledge, elimination <strong>of</strong> hunger and poverty, economic injustice and inferiority complex,<br />

upholding peoples dignity, sense <strong>of</strong> belonging and ownership, designing with people a development<br />

process which embraces building self-sufficiency and sustainable development.<br />

COWAN established in Ondo State in 1982, has consistently work hard to develop powerful<br />

tools to increase economic independence <strong>of</strong> rural women in Nigeria. These tools include a micro credit<br />

system which values, updates and combines indigenous micro-credit practices with aspects <strong>of</strong> modern<br />

banking system in a way that makes the resulting system deliver credit and related services to rural<br />

villages in a user-friendly way (COWAN, 2000). A unique characteristic <strong>of</strong> the micro-credit<br />

programme in the ownership <strong>of</strong> the financial institution by borrowers themselves.<br />

COWAN has additionally organized rural women, updated their production skills, regularly<br />

advised them <strong>of</strong> economic opportunities and mobilize funds to expose its members to various national,<br />

regional and international workshops and conferences in an effort to update their knowledge and<br />

increase their networks (Ogunleye, 2000). COWAN, a non-governmental organization was set up with<br />

the primary concern <strong>of</strong> alleviating poverty among the rural women and to increase the economic<br />

independence <strong>of</strong> rural women in Nigeria (Ogunleye, 1997, Olujide 1999).<br />

The micro credit supplied by COWAN has greatly increase the economic competence <strong>of</strong> rural<br />

women and has mobilized the traditional strength <strong>of</strong> Nigerian rural women to promote their<br />

participation in the development <strong>of</strong> human and natural sources for sustainable livelihood in rural and<br />

urban advocate for women economic and social empowerment.<br />

Women feature in small-scale enterprises and this account for the smallness <strong>of</strong> their loans. The<br />

provision <strong>of</strong> credit to people with low income and poor educational background is generally not<br />

acceptable to formal institutions because <strong>of</strong> higher administrative costs and getting access to finance<br />

has not been easy for rural women.<br />

<strong>Research</strong> had shown that women have very limited access to land, capital, gainful employment<br />

and positions <strong>of</strong> decision making (Christine, 1993 and Olawoye,2002). These constraints have drawn<br />

women to the informal sector to source for capital. This informal sector includes family, friends,<br />

private money-lenders, Esusu, cooperative societies. Apart from these sources, Non-governmental<br />

organizations and donor agencies have given out millions as grants to micro finance organizations to<br />

be given out as revolving loans to their members.<br />

It is against the background that the following questions are posed in the study.<br />

1. What are the demographic characteristics (age, marital status, religion, educational level,<br />

occupation) <strong>of</strong> rural women?<br />

2. What are the conditions for granting micro-credit to rural women?<br />

3. What is the attitude <strong>of</strong> rural women towards the micro-credit programme?<br />

4. What is the amount granted to micro-credit to rural women?<br />

5. What purposes are the micro-credit utilized?<br />

6. Is the provision <strong>of</strong> Micro-Credit to rural women by COWAN timely?<br />

7. What are the constraints facing the rural women under the micro-credit programme?


Assessment <strong>of</strong> Micro-Credit Supply by Country Women Association <strong>of</strong><br />

Nigeria (Cowan) to Rural Women in Ondo State, Nigeria 740<br />

Objective <strong>of</strong> the Study<br />

The general objective <strong>of</strong> the study was to assess the micro-credit supply <strong>of</strong> COWAN to the rural<br />

women in Ondo State, Nigeria.<br />

The specific objective include:<br />

1. identify the demographic characteristics (such as age, marital status, religion, educational<br />

level, occupation) <strong>of</strong> rural women.<br />

2. examine the conditions for granting micro credit to rural women by COWAN.<br />

3. examine the attitude <strong>of</strong> rural women towards micro credit programme.<br />

4. ascertain if the amount <strong>of</strong> micro credit provided by COWAN is enough for rural women.<br />

5. identify the ways by which rural women utilizes the Micro-credit.<br />

6. ascertain the timeliness <strong>of</strong> micro-credit <strong>of</strong> COWAN,<br />

7. examine the constraints faced by rural women towards getting the micro credit.<br />

Methodology<br />

Area <strong>of</strong> the Study<br />

The study was carried out in Ondo State <strong>of</strong> Nigeria. The State has eighteen (18) local government areas<br />

and is located in the South Western area <strong>of</strong> Nigeria and lies between latitude 7º’N and 4º 47’E<br />

longitude. The state experience two major seasons, dry and wet seasons which favour the growth <strong>of</strong><br />

varieties <strong>of</strong> food and cash crops. The major economics activities <strong>of</strong> the people was farming and the<br />

major crops grown are yam, cassava, maize and vegetables while the cash crops include cocoa, oil<br />

palm, rubber and kolanut.<br />

Population and Sampling Procedure<br />

The population for this study are rural women in Ondo State who are members <strong>of</strong> COWAN group.<br />

Multi-stage sampling was employed for the study. The state was divided into four geographical zones<br />

with the eighteen local government areas. The first stage <strong>of</strong> the sampling involves selection <strong>of</strong> six<br />

Local Governmnt Areas from each zone Each <strong>of</strong> the geographical zone has an average <strong>of</strong> six local<br />

government areas which was randomly selected. In each local government area selected, there are four<br />

groups <strong>of</strong> COWAN with hundreds (100) members. Forty members were selected for the study<br />

representing 10% the population, making one hundred and six respondents as shown in table 1.<br />

Table 1: Analysis <strong>of</strong> Sample Selection<br />

Selected Local Government Area<br />

Number <strong>of</strong><br />

Programmes<br />

Number <strong>of</strong><br />

Programme<br />

Selected<br />

Number <strong>of</strong><br />

Respondents in<br />

Local Government<br />

Sampled<br />

Respondents<br />

1. Ondo West Local Government 4 1 150 30<br />

2. Ilaje Local Government 3 1 100 25<br />

3. Akure North Local Government 4 1 160 30<br />

4. Akoko Southeast Local Government 4 1 150 21<br />

Total 15 4 560 106<br />

*Membership strength as contained in COWAN register.<br />

Source: Field Survey, 2006.<br />

Data Collection<br />

Both primary and secondary data were used during the study. Respondents were interviewed using<br />

their responses as primary data, secondary data was obtained from records provided by COWAN,<br />

published articles and relevant texts.


741 M.G. Olujide<br />

Analytical Techniques<br />

The data obtained from interview schedule was subject to descriptive and inferential statistical<br />

analysis. Descriptive statistics for this study include frequency, percentages and means and the<br />

hypothesis was tested using chi-square.<br />

Result and Discussions<br />

The respondents were requested to describe their demographic characteristics, such as age, marital<br />

status, religion, level <strong>of</strong> education and occupation as presented in Table 2.<br />

Table 2: Frequency Distribution <strong>of</strong> rural women according to demographic characteristics (such as age,<br />

marital status, religion, level <strong>of</strong> education and occupation)<br />

Variables Frequency Percentage<br />

(a) Age (yrs)<br />

21-30 27 25.4<br />

31-40 41 38.7<br />

41-50 22 20.8<br />

51-60 16 15.1<br />

Total 106 100.0<br />

(b) Marital Status<br />

Single 10 9.4<br />

Married 81 76.4<br />

Divorced 11 10.4<br />

Widowed 4 3.8<br />

Total 106 100.0<br />

(c) Religion<br />

Christianity 83 78.3<br />

Islam 17 16.0<br />

Traditional 6 5.7<br />

Total 106 100.0<br />

(d) Level <strong>of</strong> Education<br />

1. No formal education 26 16.0<br />

2. Primary education 29 27.4<br />

3. Higher education 18 17.0<br />

4. Adult Literacy Education 33 5.7<br />

Total 106 100<br />

(e) Occupation<br />

Farming 35 33.1<br />

Clerk/Typist 26 24.5<br />

Teaching 19 17.6<br />

Trading 26 24.5<br />

Total 106 100<br />

The above table 2 showed that 21 to 30 years old rural women were 25.4 percent, 31-40 years<br />

were 38.7 percent. 41-50 years old respondents were 20.8 percent while 51-60 years old respondents<br />

were 15.1 percent. The result showed that majority <strong>of</strong> the rural women are neither too young nor too<br />

old, they are in active stage <strong>of</strong> life. They will be able to put into good use the credit received from<br />

COWAN.<br />

On marital status, the result indicates that 76.4 percent <strong>of</strong> the rural women were married, 11.3<br />

percent were divorced, 9.4 percent were single and 2.8 percent were widowed. Since majority (76.4%)<br />

<strong>of</strong> respondents were married, they are responsible. It can be inferred that married applicants are more<br />

favoured than unmarried during application for membership.<br />

On the religion, the result showed that majority <strong>of</strong> the rural women (78.3%) are Christians,<br />

while 16.0 percent are Muslims and 5.7 are traditionalists. The educational level <strong>of</strong> the respondents<br />

showed that 5.7% <strong>of</strong> the rural women had adult literacy education, 27.4 percent had primary education,


Assessment <strong>of</strong> Micro-Credit Supply by Country Women Association <strong>of</strong><br />

Nigeria (Cowan) to Rural Women in Ondo State, Nigeria 742<br />

17.0 percent had secondary education, 16.0 percent <strong>of</strong> them had no formal education and 8.5 percent<br />

respondents had higher education.<br />

On the occupation <strong>of</strong> the rural women, the result showed that 33.0 percent <strong>of</strong> the rural women<br />

major occupation was farming, 24.5 percent <strong>of</strong> them are clerk/typists, 17.9 percent <strong>of</strong> the respondents<br />

are teachers and 24.5 percent respondents are traders. This indicates that COWAN takes care <strong>of</strong> various<br />

activities <strong>of</strong> women.<br />

Conditions for Giving Loan to Rural Women by Cowan<br />

The conditions for giving loan to rural women by COWAN include the following:<br />

1. You must be a registered COWAN member<br />

2. Intending borrowers must be registered with COWAN organization in their community for<br />

a period <strong>of</strong> 6 months and must apply for credit through their group.<br />

3. Members must attend meeting regularly and pay monthly due <strong>of</strong> N100.00.<br />

4. The duration for repaying monetary credit is one year and the interest rate was 10%.<br />

The attitude <strong>of</strong> rural women towards micro credit received from COWAN micro-credit was<br />

categorized as unfavourable and favourable using attitudinal scores as shown in Table 3.<br />

Table 3: Frequency Distribution <strong>of</strong> rural women according to attitude towards COWAN Micro Credit<br />

Attitude <strong>of</strong> Respondents toward COWAN micro-credit Frequency Percentages<br />

Unfavourable 17 16.0<br />

Favourable 89 84.0<br />

Total 106 100.0<br />

Table 3 showed that 16.0 percent <strong>of</strong> the respondents fall into the low attitude score towards<br />

COWAN micro credit. Also, the majority (84.0%) falls into high attitude score. This therefore, implies<br />

that the rural women had favourable attitude towards the micro credits received from COWAN.<br />

The amount <strong>of</strong> Micro Credit received as credit from COWAN was presented in Table 4.<br />

Table 4: Frequency Distribution <strong>of</strong> rural women according to the amount received as credit from COWAN<br />

Amount (N) Frequency Percentage<br />

5,000 – 10,000 45 42.5<br />

11,000 – 16,000 46 43.4<br />

Above 16,000 15 14.1<br />

Total 106 100.0<br />

Table 4 showed that 42.5 percent <strong>of</strong> the respondents obtained the sum <strong>of</strong> N5,000 – N10,000 as<br />

micro-credit and 43.4 percent <strong>of</strong> the respondents obtained the sum <strong>of</strong> N11,000 – N16,000 micro-credit<br />

while 14.1 percent obtained above N16,000 as micro-credit from COWAN.<br />

Utilization <strong>of</strong> Micro Credit Received from COWAN<br />

The micro credit given to rural women can be put into various use depending on the occupation <strong>of</strong> the<br />

beneficiaries as shown in table 5:


743 M.G. Olujide<br />

Table 5: Frequency distribution <strong>of</strong> respondents according to utilization <strong>of</strong> micro credit received from<br />

COWAN.<br />

Occupation Frequency Percentage<br />

Farming 91 85.5<br />

Trading 15 14.5<br />

Local Crafts - -<br />

Total 106 100.0<br />

The result showed that majority (85.5 percent) <strong>of</strong> the respondents used the micro credit<br />

obtained from COWAN organization for farming, 14.5 percent <strong>of</strong> them used for trading. The<br />

implication <strong>of</strong> this is that majority <strong>of</strong> the respondents utilizes the micro credit obtained for their<br />

occupation.<br />

Constraints Faced by Rural Women in Obtaining Micro Credit from constraints faced by rural<br />

women in obtaining micro-credit as shown in Table 6.<br />

Table 6: Frequency Distribution <strong>of</strong> Respondents According to Constraints Faced by Rural Women<br />

Identified Constraints Frequency Percentages<br />

Lack <strong>of</strong> funds 40 37.7<br />

Mismanagement <strong>of</strong> funds 10 9.5<br />

Short period <strong>of</strong> repayment 30 28.3<br />

Loan defaulters 17 16.0<br />

Lack <strong>of</strong> incentive from the government 9 8.5<br />

Total 106 100.0<br />

Table 6 indicates that 37.7 percent <strong>of</strong> the respondents agreed that lack <strong>of</strong> funds from COWAN<br />

is their major constraints while 28.3 percent agreed that short period <strong>of</strong> repayment <strong>of</strong> micro credits<br />

granted was their constraints and 16.0 percents opined that loan defaulters are the major constraints,<br />

and 9.5 percents claimed that mismanagement <strong>of</strong> funds is the major constraints they faced from<br />

COWAN and 8.5 percent opined that lack <strong>of</strong> incentives from government is their major constraints.<br />

Benefit Derived from Micro Credit Obtained by Rural Women from COWAN<br />

Benefit derived from micro-credit obtained by rural women were presented in Table 6.<br />

Table 7: Frequency Distribution <strong>of</strong> Respondents According to the Benefits erived from COWAN Credit<br />

Benefits Derived Frequency Percentages<br />

Increase in Production 70 75.5<br />

Procure more farm inputs 10 9.4<br />

Input 16 15.1<br />

No response 8 7.5<br />

Total 106 100.0<br />

Table 7 indicates that majority <strong>of</strong> the respondents 75.5 percent obtained the micro-credit to<br />

increase their production while 9.4 percent respondents received it to procure more farm inputs, while<br />

15.1 percent respondents obtained it during the money seasons.


Assessment <strong>of</strong> Micro-Credit Supply by Country Women Association <strong>of</strong><br />

Nigeria (Cowan) to Rural Women in Ondo State, Nigeria 744<br />

Table 8: Chi-square tests <strong>of</strong> relationship between demographic characteristics <strong>of</strong> respondents and microcredit<br />

received from COWAN<br />

Demographic Characteristics <strong>of</strong><br />

the Respondents<br />

Df<br />

X 2 tabulated<br />

value<br />

X 2 calculated<br />

value<br />

Significance<br />

Level<br />

Decision<br />

Age 3 7.82 4.36 0.05 NS<br />

Marital Status 3 7.82 5.29 0.05 NS<br />

Position among husband’s wife 2 5.99 1.26 0.05 NS<br />

Number <strong>of</strong> children 3 7.82 4.49 0.05 NS<br />

Educational attainment 4 9.49 6.82 0.05 NS<br />

Religion 2 5.99 1.10 0.05 NS<br />

Occupation 3 7.82 11.0 0.05 S<br />

As shown in table 8, age is tested as related to micro credit received, chi-square <strong>of</strong> 4.36 was<br />

observed comparing the figure with x 2 tabular that is 7.82, showed that there is no significant<br />

relationship between the age and micro credit received. Consequently, the null hypothesis were<br />

accepted, that in these in no significant relationship between age and micro credit received from<br />

COWAN, chi square value <strong>of</strong> 4.36 was observed when compare with the x 2 tabulated that is, 7.82. The<br />

null hypothesis was therefore accepted, that is there is no significant relationship between beneficiaries<br />

material status and micro credit received.<br />

The chi-square analysis was used in the contingency table to determine the relationship<br />

between the level <strong>of</strong> education <strong>of</strong> respondent and micro credit received. Chi square value <strong>of</strong> 6.82 was<br />

observed. When compared with the x 2 tabulated that is 9.49. The null hypothesis is accepted implying<br />

that the level <strong>of</strong> education is not significantly related to the micro credit received. The position <strong>of</strong><br />

respondents among husband’s wife and micro credit received was tested. The result shows that chisquare<br />

calculated is 1.26 while X 2 , the null hypothesis is accepted, that is there is no significant<br />

relationship between respondents position among husband’s wife and micro credit received.<br />

For number <strong>of</strong> children for respondents and micro received, chi-square value 7.82. Therefore<br />

the null hypothesis is accepted which state that there is no significant relationship between the number<br />

<strong>of</strong> respondents’ children and micro credit received.<br />

Religion <strong>of</strong> the respondents and micro credit received from COWAN was compared using X 2<br />

statistic. Comparing the X 2 calculated value <strong>of</strong> 1.10 and X 2 tabulated value <strong>of</strong> 5.99, the hypothesis is<br />

accepted. That is there is no significant relationship between the respondents’ religions and micro<br />

credit received.<br />

The occupation <strong>of</strong> the respondents and the micro credit received was analysed using chi-square<br />

statistics. Comparing the X 2 calculated value <strong>of</strong> 7.82 and X 2 tabulated value <strong>of</strong> 7.82. The null<br />

hypothesis is accepted that is there is a significant relationship between occupation <strong>of</strong> the respondents<br />

and micro credit received. The significant relationship is explained by contingency coefficient <strong>of</strong> 0.31.<br />

This implies age, marital status, education attainment, position among husband’s wife number<br />

<strong>of</strong> children <strong>of</strong> respondents and religions <strong>of</strong> the respondents do not significantly affect the micro credit<br />

received from COWAN but the occupation <strong>of</strong> the respondents has a significant relationship with the<br />

micro credit received.<br />

Conclusion and Recommendation<br />

This study assesed the micro-credit given to rural women by COWAN in Ondo State. Questionnaire<br />

was used to collect data from the respondents. For the purpose <strong>of</strong> the study, 106 respondents<br />

representing four local government areas in Ondo State were selected, using the list <strong>of</strong> registered<br />

COWAN members as sampling frame.<br />

The respondents attitude towards COWAN credit, majority (84 percent) had favourable attitude<br />

towards micro-credit while 16 percent had unfavourable attitude towards micro-credit. On the


745 M.G. Olujide<br />

respondents benefit derived from the micro credit, majority (75.5 percent) <strong>of</strong> the respondents obtained<br />

the micro-credit to increase their production while 9 percent received it to procure more farm inputs<br />

and 15 percent did not respond to the variable.<br />

On the constraints encountered by COWAN members 37.7 percent had inadequate funding as<br />

constraint, while 28.3 percent had constraint <strong>of</strong> short period <strong>of</strong> repayment <strong>of</strong> loan, 16 percent is<br />

attributed to loan defaulters, 9.5 percent is attributed to mismanagement <strong>of</strong> funds and 8.5 percent is<br />

attributed to lack <strong>of</strong> incentives from the government.<br />

Based on the findings in this study, one can realize the COWAN is still bringing improvement<br />

to the living conditions <strong>of</strong> rural women. The rural women had benefited from the micro-credits granted<br />

to them by COWAN. It can be inferred that COWAN micro-credits had made impact among the rural<br />

women in the studied area.<br />

References<br />

[1] Adegeye and Ditto (1985). “Essential <strong>of</strong> Agricultural Economics”, Ibadan. Inpac Publisher<br />

Limited, pp. 10-12.<br />

[2] Aweto, R.A. (1996). Agricultural Cooperatives. Stand and Printers. Builds Limited Ibadan. Pp.<br />

141 – 142.<br />

[3] Brown, C.K. (1979). The participation <strong>of</strong> Women in Rural Development Programmes in<br />

Kaduna State <strong>of</strong> Nigeria. C.S.E.R <strong>Research</strong> Pages 5, ABU, Zaria. Pp. 13.<br />

[4] Christine, Y. (1993). Investment Finance Off Limits for Women in Women and Economics<br />

Policy. 0x 7am U.K. Edited by Barbara, pp. 16.<br />

[5] Imam. H. (1998): The role <strong>of</strong> Micro Credit in Development. Guardian Newspaper Vol. 4, No.<br />

1237 pp. 10.<br />

[6] McKean, C.S. (1989). Training and Technical Assistance for Small and Micro business. A<br />

review <strong>of</strong> their effectiveness and Implications for Women. Pp. 10 – 15.<br />

[7] Ogunleye, B. (2000). Innovation for Poverty Eradication. Country Women Association <strong>of</strong><br />

Nigeria. Presented at Micro-Credit Seminar. Washington DC, pp. 6-8.<br />

[8] Olawoye J.E(2002) Gender informed approaches to sustainable human development.Paper<br />

presented at Workshop on gender issues in economic development,Organised by Nigerian<br />

centre for Economic Management and Administration(NCEMA)held at Ibadan.pp1-4<br />

[9] Olujide, M.G. (1999). “Activities <strong>of</strong> Selected Non-Governmental Organisations (NGOs) in<br />

Rural Development in South West Nigeria (Ph.D. Thesis), Department <strong>of</strong> Agricultural<br />

Extension and Rural Development, University <strong>of</strong> Ibadan, Ibadan, pp. 104-110.<br />

[10] Williams, C.E. (1982). The Status and Tasks <strong>of</strong> Rural Women In Nigeria: A Case Study <strong>of</strong><br />

Allagba Village, Oyo State. Pp. 1 – 2.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.746-758<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Comparative Analysis <strong>of</strong> Pictorial Coverage <strong>of</strong> Events by<br />

Pakistan’s English Press<br />

Muhammad Nawaz Mahsud<br />

Chairman, Department <strong>of</strong> Communication Studies<br />

University <strong>of</strong> Sargodha, Pakistan<br />

Muhammad Khalid<br />

Pr<strong>of</strong>essor, Department <strong>of</strong> Communication Studies<br />

University <strong>of</strong> Sargodha, Pakistan<br />

Firasat Jabeen<br />

Lecturer, Department <strong>of</strong> Communication Studies<br />

University <strong>of</strong> Sargodha, Pakistan<br />

Abstract<br />

This study describes the leading English dailies ‘Dawn’ and ‘The Nation’ all pages<br />

pictorial coverage <strong>of</strong> events <strong>of</strong> international, national, provincial, and regional importance.<br />

Sixty newspapers containing 30 issues <strong>of</strong> each <strong>of</strong> the selected papers are analyzed. Results<br />

<strong>of</strong> the study show that daily ‘Dawn’ has significantly published more pictures and also<br />

spared significant space to developmental affairs, education, festival, disaster, accident, and<br />

crimes events compared to the number <strong>of</strong> pictures and space given to the same issues by<br />

daily “The Nation’ for the same period. Conversely daily ‘The Nation’ has published<br />

significantly more pictures and also given more space to the issues <strong>of</strong> politics, economics,<br />

technology, showbiz, health, war against terrorism, and sports than the number <strong>of</strong> pictures<br />

and space devoted to the same set <strong>of</strong> events by daily ‘Dawn.’ The results show no<br />

significant difference between both the papers’ coverage given to the events <strong>of</strong><br />

environment, nature, weather, and others. The comparison <strong>of</strong> overall number <strong>of</strong> published<br />

pictures on events and space given to those pictures by the selected dailies shows<br />

significant difference. The Nation has published more number <strong>of</strong> pictures (930) and also<br />

spared significant space (223434) in centimeter compared to the Dawn number <strong>of</strong> pictures<br />

(712) and the space given to them (112669). It is also observed that both the papers have<br />

published significantly more pictures and also spared more space to the events <strong>of</strong><br />

international importance than their number <strong>of</strong> pictures and space given to events <strong>of</strong><br />

national, provincial, and regional importance.<br />

Significance<br />

“One picture tells as much as 1000 words” (www.shipshapewsiebiz.com/NewsRoom.asp-20k). Human<br />

mind understands the language <strong>of</strong> pictures. Whatever we think, our mind creates pictures, and words<br />

transcend them into reality, making our ideas understandable. Most <strong>of</strong> the knowledge we perceive is<br />

through our sense <strong>of</strong> sight. “It is sense <strong>of</strong> sight that is dominant in human knowledge <strong>of</strong> the world,<br />

nature and life. Man actually receives two third <strong>of</strong> his knowledge through vision for what he sees is<br />

memorized easier. This is exactly why photography plays an important role in acquainting us with


Comparative Analysis <strong>of</strong> Pictorial Coverage <strong>of</strong> Events by Pakistan’s English Press 747<br />

reality” (Hasan, 2005). Visuals are more effective, influential and memorable compared to the<br />

narration that is why most newspaper editors intend to accompany most <strong>of</strong> the news stories with<br />

pictures and special attention is given to the pictorial coverage <strong>of</strong> events so that the real picture <strong>of</strong> the<br />

event can be presented before the reader. There’s nothing like a photograph to give a newspaper<br />

motion and emotion. Photo journalism lies at the very heart <strong>of</strong> newspaper design” (Harrower, 2004).<br />

Today’s reader urges to see something unique, appealing, snappy, easy to grasp and that can appeal the<br />

reader’s aesthetic sense. ‘Every picture tells a story and every story deserves a picture. Today’s readers<br />

are so spoiled by TV and magazines that they now expect color photos, yet to accompany nearly every<br />

story they read’ (p.4).<br />

Today’s media is entangled in competitive environment. Print media, newspaper in particular<br />

has to combat television staged with glamour, radio for its access, interactive media for its speed and<br />

glazing magazines. ‘Pictures are one <strong>of</strong> the key elements <strong>of</strong> a page. It is a picture that draws a reader<br />

into a page and helps to guide him or her through the page and the material on it’ (Frost, 2002).<br />

Therefore a right picture, at right place in right time plays pivotal role in making newspaper eye<br />

catching and can compete its other technological rivals. ‘It is one <strong>of</strong> the peculiar characteristics <strong>of</strong> the<br />

photo that it isolates single moments in time. The TV camera does not’ (McLuhan, 2002). It wouldn’t<br />

be wrong to say that pictures displayed in newspaper significantly attract more readerships. ‘The<br />

convincing power <strong>of</strong> the verbal comment in turn is strengthened by the photographic image, which<br />

multiplies the emotional elements’ (Hasan, 2005). This study aims to explore the coverage and<br />

importance given to the pictorial coverage by English dailies.<br />

History <strong>of</strong> pictorial journalism is not so old. A French inventor named Niepce produced the first<br />

permanent photograph in 1826. The historian <strong>of</strong> photography associated with the rediscovery <strong>of</strong><br />

Niepce’s early work was Helmut Gernsheim, whose History <strong>of</strong> Photography (published in 1995 and<br />

1969) helped shape, for better or worse, the way that developments in the science are understood (Price<br />

1998). Technological advancement in photographic equipments opened new doors <strong>of</strong> innovation, and it<br />

became possible to capture an event within a camera. The first newspaper photograph was published in<br />

1880. News photos didn’t become common, however, until the early 1900s. Gradually photographs<br />

began to become important elements <strong>of</strong> newspaper design. Full color photos became common in the<br />

early’80s, thus ushering the modern era <strong>of</strong> newspaper design (Harrower, 2002). In Pakistan, during<br />

1950s English newspapers followed this trend by giving occasional photographic coverage to<br />

important events. It took some time for Urdu newspaper to give attention to photography. However, in<br />

1953, an Urdu daily ‘Kohistan’ was the first Urdu newspaper that started giving photographic coverage<br />

to the events since then the Urdu press is far ahead in the production <strong>of</strong> photographs (Hasan and<br />

Khurshid, 1987).<br />

Pictures have a major part to play in setting the emotional agenda <strong>of</strong> a piece. Whether they are<br />

pictures <strong>of</strong> widows weeping at a pithead mining disaster or the triumphant smile <strong>of</strong> the sports victor or<br />

the mouth-twisting absorption <strong>of</strong> a picture- painting toddler, they all add something to the reader’s<br />

perception <strong>of</strong> what has happened. The Poynter Institute’s Eye-trac research shows that readers are<br />

drawn into a page by the picture or pictures (Garcia and Stark 1991). The picture is therefore important<br />

to a page design and usually becomes the page’s entry point, drawing the reader in and then directing<br />

them to the start <strong>of</strong> the main article. Newspapers and magazines are a potent mix <strong>of</strong> text and image<br />

designed to grab the reader’s attention and hold it, making the experience <strong>of</strong> reading the news easy and<br />

enjoyable and, more importantly for some, to tempt readers to carry on shelling out a reasonable<br />

amount <strong>of</strong> precious cash to pay for it. The aim <strong>of</strong> a magazine front cover or a newspaper front page is<br />

solely to invite the reader to buy, to tempt them into picking up the publication and become engrossed<br />

in its content. The aim <strong>of</strong> inside is to continue that experience by <strong>of</strong>fering information, education and<br />

entertainment (Frost, 2003).<br />

People have been interested in pictures for a long time. This interest has two related aspects: (a)<br />

our interest in the picture <strong>of</strong> reality provided us in bits and pieces by our visual and gross body<br />

orienting systems-and their technological enhancements. Indeed, Western science has provided us with<br />

ever-clearer pictures <strong>of</strong> reality through the extension <strong>of</strong> our senses by specialized instruments, and (b)


748 Muhammad Nawaz Mahsud, Muhammad Khalid and Firasat Jabeen<br />

we also have an interest in pictures for communication, pictures to transmit information among<br />

ourselves as well as between our increasingly sophisticated information-processing machines and us.<br />

The challenge in the design <strong>of</strong> a picture is the decision what to preserve and what to discard<br />

(http://human-factors.arc.nasa.gov/ihh/spatial/papers/pdfs_se/pcpsu/Ellis-1993-pictorialcommunication.htm/).<br />

To understand the medium <strong>of</strong> the photograph is quite impossible, then, without<br />

grasping its relations to other media, both old and new. The photo and visual worlds are secure areas <strong>of</strong><br />

anesthesia. A picture <strong>of</strong> a group <strong>of</strong> persons <strong>of</strong> any hue whatever is a picture <strong>of</strong> people, not <strong>of</strong> “colored<br />

people.” The logic <strong>of</strong> the photograph is neither verbal nor syntactical, a condition that renders literary<br />

culture quite helpless to cope with the photograph. By the same token, the complete transformation <strong>of</strong><br />

human sense-awareness by this form involves a development <strong>of</strong> self-consciousness that alters facial<br />

expression and cosmetic makeup as immediately as it does our bodily stance, in public or in private<br />

(McLuhan, 2002).<br />

The photograph is just as useful for collective, as for individual, postures and gestures, whereas<br />

written and printed language is biased toward the private and individual posture. It was in 1839 that<br />

William Henry Fox Talbot read a paper to the Royal Society which had a title: “Some Account <strong>of</strong> the<br />

Art <strong>of</strong> Photogenic Drawing, or the process by which natural objects may be made to delineate<br />

themselves without the aid <strong>of</strong> the artist’s pencil.” He was quite aware <strong>of</strong> photography as a kind <strong>of</strong><br />

automation that eliminated the syntactical procedures <strong>of</strong> pen and pencil. He was probably less aware<br />

that he had brought the pictorial world into line with the new industrial procedures. It was this allimportant<br />

quality <strong>of</strong> uniformity and repeatability that had made the Gutenberg breaks between the<br />

Middle Ages and the Renaissance (p. 204). Historical pictorial collections can range from thousands to<br />

millions <strong>of</strong> images, most <strong>of</strong> which are originals and many <strong>of</strong> which are also <strong>of</strong> unique art factual value.<br />

Most collections, encompassing photographs and works on paper, include documentary photographs,<br />

fine and popular prints and drawings, posters, and architectural and engineering drawings. Among the<br />

many media included are glass-plate and film negatives; daguerreotypes, ambrotypes, and tintypes;<br />

silver gelatin prints and color transparencies; lithographs, woodcuts, and etchings; and pen-and-ink,<br />

watercolor, and chalk drawing (http://www.clir.Org/pubs/reports/ostrow/pub71.htm/).<br />

As Evan (1999) explains it, a still image, such as a photograph <strong>of</strong> a woman, is less the<br />

equivalent <strong>of</strong> “woman” than it is a series <strong>of</strong> disconnected descriptions: “an older woman, seen in the<br />

distance wearing a green coat, watching the traffic, as she crosses the road.” She also tells us that<br />

pictures have no tense, and thus no clear location in time. He reveals how many photographs, which<br />

make an impact on the consciousness <strong>of</strong> the public, photographs that seem to symbolize something<br />

about the human condition, have been obtained with less than scrupulous honesty. It presents us, says<br />

Evans, with an object as a fait accompli. Visual images are inevitably ambiguous and polysemic, but<br />

they also have certain advantages over words. One is their greater denotative power when used<br />

deliberately and effectively. Another is their capacity to become icons – directly representing some<br />

concept with clarity, impact and wide recognition. This gives them considerable potential for skilful<br />

communication in certain contexts (McQuail, 2005, p. 349).<br />

Sontag (1978) states that ‘the images that have virtually unlimited authority in a modern society<br />

is mainly photographic images.’ A painting is ‘never more than the stating <strong>of</strong> an interpretation’, while a<br />

photograph: ‘is never less than the registering <strong>of</strong> an emanation (light waves reflected by objects) –<br />

material vestige <strong>of</strong> its subject in a way that no painting can be. The image/photograph is not the reality<br />

itself, but, ‘at least … its perfect analogon.’ So, in the first place, the photograph is supposed to<br />

transmit literal reality. In the second, it is an analogon: it is exactly similar to the reality it transmits.<br />

Photographs have most usually been described as ‘icons’, because <strong>of</strong> their apparent ability to reproduce<br />

some elements <strong>of</strong> reality. Since the photograph appears, at first sight, to be extremely close to the thing<br />

it represents, the many claims made for its ability to transmit ‘the literal reality’ seem convincing (pp.<br />

3). Photography has taught people a new way <strong>of</strong> seeing the world. There are quite extensive moral<br />

implications which arise from this code: ‘In teaching us a new visual code, photographs alter and<br />

enlarge our notions <strong>of</strong> what is worth looking at and what we have a right to observe. She believed that:<br />

‘photographed images… now provide most <strong>of</strong> the knowledge people have about the look <strong>of</strong> the past


Comparative Analysis <strong>of</strong> Pictorial Coverage <strong>of</strong> Events by Pakistan’s English Press 749<br />

and the reach <strong>of</strong> the present.’ If this is the case, then photographs exercise considerable power over<br />

how we see the world (p.4).<br />

McQuail (2005) says that there are serious shortcomings to this argument; it is the nature <strong>of</strong> this<br />

reduction from the object to the image; it is the nature <strong>of</strong> this reduction, which is important. The<br />

absence in the photograph <strong>of</strong> a number <strong>of</strong> elements found in the real world shows clearly how reality is<br />

not simply reduced or altered, but actually transformed by photography. Reality and its photographic<br />

image are in fact much farther apart that leads us to believe that the photograph signifies the actual<br />

scene, object or person in the real world, without needing to be explained through the codes <strong>of</strong> a<br />

specific culture. The important point about a photograph is that it is open to variety <strong>of</strong> different<br />

interpretations. Photographs are here imagined to be powerful manipulators <strong>of</strong> human perception,<br />

precisely because they seem to give us a direct access to the real world (pp. 348). If a photograph is<br />

seen in a person’s family album, then it takes on the domestic and semi private connotations <strong>of</strong><br />

personal history. Seen in a mass-circulation newspaper, however, the case is very different. In a<br />

newspaper, a photograph carries an impact for two reasons: first, it has been selected to represent or<br />

reinforce the essence <strong>of</strong> a story, secondly, because it achieves widespread exposure in terms <strong>of</strong> the<br />

numbers <strong>of</strong> people who see the image. The news photo is supposed to lend itself widespread<br />

reproduction and must act as a visual ‘key’ to the story. The news photo will be given, in turn, its own<br />

interpretative caption (p.349).<br />

According to this view, the photographic image is able to mislead us because it is a special,<br />

‘direct’ form <strong>of</strong> the iconic. Webster (1980) acknowledges the fact that photographs ‘can develop<br />

quickly into symbols.’ Photographs tend to suggest a variety <strong>of</strong> meanings beyond their simple<br />

resemblance to the real world. For example, a photograph <strong>of</strong> Marilyn Monroe, shown to a variety <strong>of</strong><br />

people who share, broadly, the same culture, may bring out a number <strong>of</strong> responses in its audience, and<br />

is likely to signify a great deal more than just ‘young female.’ A whole range <strong>of</strong> meanings connected<br />

with sexuality, the Hollywood star system, early death, and so on, will be brought to mind and will<br />

seem to be combined in the image. It is difficult to produce new meanings from a photograph, which<br />

has already become symbolic <strong>of</strong> some idea or force in society (p. 172). Types <strong>of</strong> photograph will also<br />

tend to acquire a number <strong>of</strong> meanings, which will depend on an audience’s knowledge <strong>of</strong> the image<br />

under study. They are made as part <strong>of</strong> continuous process, in which the news values held by the media<br />

institutions and by the journalists who work in these institutions help to determine what the images are<br />

sought in the first place. News photographs are designed to be accessible to large numbers <strong>of</strong> people,<br />

and are <strong>of</strong>ten thought to be instrumental in changing or reinforcing opinion (p. 173).<br />

News photographs are designed to be accessible to large numbers <strong>of</strong> people, and are <strong>of</strong>ten<br />

thought to be instrumental in changing or reinforcing opinion. Rothstein (1974) claims that: ‘the<br />

photographic image speaks directly to the mind and transcends the barriers <strong>of</strong> language and<br />

nationality.’ The idea <strong>of</strong> the ‘universal’ ability <strong>of</strong> the image to speak directly to people across all<br />

national and cultural boundaries is common to many studies <strong>of</strong> photography. Photographic image and<br />

photojournalism are at least very widespread since they are ‘encountered by each <strong>of</strong> us virtually every<br />

day <strong>of</strong> our lives … [and hold] a special place in the way we see the world’ (15-16). Today, no one<br />

thinks <strong>of</strong> the news as words alone. For the most part, however, television, online news, newspapers and<br />

magazines all depend heavily upon video, still photos, graphics or combinations <strong>of</strong> the three. The<br />

reason is simple: Images can tell some stories better than pure prose. They vividly convey the emotion<br />

and drama <strong>of</strong> human events, capturing moments in all their power and detail. Well-chosen words can<br />

describe the moment <strong>of</strong> victory or defeat in a sporting event so that readers can share it through an act<br />

<strong>of</strong> imagination (Price, 1998). Pictures, however, can take the viewer directly there, showing the<br />

exhilaration or disappointment on an athlete’s face. Notice how the best television sportscasters fall<br />

silent at the end <strong>of</strong> a dramatic contest-the moment <strong>of</strong> celebration after the last pitch <strong>of</strong> the World<br />

Series, for example, or the meeting at the net when a championship tennis match ends. They know to<br />

hold the commentary for a moment and let the pictures speak for themselves (pp.202-04). Some editors<br />

tend to think <strong>of</strong> photographs only in terms <strong>of</strong> their emotional impact, but visual images can do much<br />

more. Pictures also make the abstract concrete and humanize distant events and disasters in a powerful


750 Muhammad Nawaz Mahsud, Muhammad Khalid and Firasat Jabeen<br />

ways. Visual images are among the media’s most potent resources, there is a silver <strong>of</strong> truth in the<br />

warnings <strong>of</strong> those 1920s editors who feared photos might lower journalistic standards. Modern news<br />

audiences expect to see photos, and they <strong>of</strong>ten count on the images to help decide what is worth their<br />

time and attention. Those photos and their Cutlines then draw readers deeper into the page and lead<br />

them to the accompanying stories. (Cutlines, used synonymously with the term captions by most<br />

journalists, are short blocks <strong>of</strong> text that explain pictures in terms <strong>of</strong> who is shown, what is happening,<br />

and when, where and why the photo was taken, pp. 205).<br />

Many studies have focused on the concept <strong>of</strong> “attitudes”, or peoples’ general predisposition’s to<br />

evaluate other people, objects, and issues favorably or unfavorably. The attitude construct achieved its<br />

pre-eminent position in research on social influence because <strong>of</strong> the assumption that a person’s attitude<br />

is information, on the one hand, and behavioral change, on the other (Peterson and Thurstone, 1933).<br />

Over the past 50 years numerous theories <strong>of</strong> attitude change and models <strong>of</strong> knowledge- attitude-<br />

behavior relationships have been developed (Eagly and Chaiken, 1993; McGuire, 198; Petty, Unnava,<br />

and Strathman, 1991). Although the person ability to learn and recall new information was <strong>of</strong>ten<br />

thought to be an important casual determinant <strong>of</strong> and prerequisite to attitude and behaviours change.<br />

Little empirical evidence has accumulated to support the view that message learning is a necessary step<br />

(Greenwald, 1968; McGuire, 1985; Petty and Cacioppo, 1981). The message comprehension and<br />

learning can occur in the absence <strong>of</strong> attitude change, and that a person’s attitude can change without<br />

learning the specific information in the communication that is, a person might be able to comprehend<br />

all <strong>of</strong> the intended information perfectly, but not be persuaded either because the information is counter<br />

argued or seen as personally irrelevant. On the other hand a person might get information all wrong<br />

(scoring zero on a knowledge test) but think about it a manner that produces the intended change. This<br />

analysis helps to why previous research on mass media effects has sometimes found that message<br />

learning and changes in knowledge occur in the absence <strong>of</strong> attitude change and vice-versa (Petty,<br />

Baker and Gleicher 1991).<br />

The attitude change process involves considerable cognitive work does not mean that the<br />

attitude formed will be rational or “accurate one”. However the important point is that a rather<br />

thoughtful process in which people attend carefully the issue relevant information presented changes<br />

sometimes attitudes. Examine this information in the light <strong>of</strong> their relevant experiences and knowledge<br />

and evaluate the information along with the dimensions they perceive central to the merits <strong>of</strong> the issue.<br />

People engaged in this effortful cognitive actively have been characterized as engaging in “systematic”<br />

(Chaiken, Ciberman, and Eagly, 189), “mindful” (Palmerio et al. 1984), and “piecemeal” (Fiske and<br />

Pavelchak, 1986) processing. Different media sources have an impact on peoples’ ability to think about<br />

message specially people are generally better able to process messages that appear in the print media<br />

than those that are controlled externally (e.g., radio and television; Chaiken and Eagly, 1976; Wright,<br />

1981).<br />

This study entails critical and comparative analysis <strong>of</strong> the pictorial coverage given by two<br />

leading English dailies ‘Dawn’ and ‘The Nation’ to know what events, celebrities, festivals etc are<br />

given importance for pictorial coverage, what are the priorities regarding pictorial display in terms <strong>of</strong><br />

the number and the space devoted to the pictures. This study will help to make pictures that are<br />

published in newspapers more effective, theme centered and influential. Because, there is no denying<br />

<strong>of</strong> the fact that pictorial display plays very important role in making a newspaper recognized.<br />

Methodology<br />

The present study focuses on the print media. “Newspapers and magazines are still the easiest media to<br />

access on the train or bus” (Frost, 2003). Two English elite newspapers ‘Dawn’ and The Nation’ are<br />

selected due to their credibility and value <strong>of</strong> permanence. All the issues <strong>of</strong> the said papers published<br />

form January 1 st , 07 to March 31 st , 07 are the universe <strong>of</strong> the study. Pictures <strong>of</strong> events and personnel—<br />

international, national, provincial, and regional importance—published by all the selected newspapers’<br />

pages in the prescribed period are taken as unit <strong>of</strong> analysis. The reason is simply to learn about the<br />

recent trends <strong>of</strong> pictorial coverage given by both the selected newspapers. Moreover the selected time


Comparative Analysis <strong>of</strong> Pictorial Coverage <strong>of</strong> Events by Pakistan’s English Press 751<br />

period will also help to know the innovations the New Year has brought for the readers. Considering<br />

the requirement <strong>of</strong> the present study and for meaningful inferences and deductions, the researcher has<br />

done systematic sampling. Every third newspaper <strong>of</strong> the month is selected for the sample. In this way<br />

total ten newspapers <strong>of</strong> one month and thirty newspapers for the whole period were selected, totaling<br />

sixty.<br />

Categories Selection<br />

There are real advantages for a researcher to use a category system that has been used in other studies.<br />

First, the researcher must know that it is a workable system. If the researcher needs to create his/her<br />

own set <strong>of</strong> categories, the decision to create own set <strong>of</strong> categories instead <strong>of</strong> using an existing set<br />

should be based primarily on the objectives <strong>of</strong> the study under consideration. It is mostly <strong>of</strong> limiting<br />

the number <strong>of</strong> categories. Once coder is familiar with the set <strong>of</strong> categories, he/she should be able to<br />

operate without frequent reference back to the list and definitions. To scientifically handle the problem<br />

<strong>of</strong> data collection and data reduction, a coding sheet containing nine columns is created as shown<br />

under:<br />

Coding sheet<br />

International National Provincial Regional<br />

Categories* # <strong>of</strong> Space in # <strong>of</strong> Space in # <strong>of</strong> Space in # <strong>of</strong> Space in<br />

photos cm photos cm photos cm photos cm<br />

*: Politics, developmental affairs, economics, education, festival, technology, environment, disaster, accident, nature, war, crime, showbiz, health, weather,<br />

protests, event, sports and others<br />

The first column <strong>of</strong> coding sheet indicates categories; columns 2 nd and 3 rd show the number <strong>of</strong><br />

photographs, and the space given to events and personnel <strong>of</strong> international importance; columns 4 th and<br />

5 th show the number <strong>of</strong> photographs and the space to events and personnel <strong>of</strong> national importance;<br />

columns 6 th and 7 th indicate the number <strong>of</strong> photographs and space to events and personnel <strong>of</strong> provincial<br />

importance: and columns 8 th and 9 th show the number <strong>of</strong> photographs to events and personnel <strong>of</strong><br />

regional importance.<br />

Pilot Study<br />

Pilot study is made to check how reliable the coding process is (Hansen, A. et al., 1998). Reliability in<br />

content analysis is essentially about consistency: consistency between different coders (inter-coder<br />

reliability), and consistency <strong>of</strong> the individual coder’s coding practice over time (intra-coder reliability).<br />

There are several different ways <strong>of</strong> checking or measuring reliability in content analysis, from a simple<br />

check on the percentage <strong>of</strong> coding decisions which coders agree, to more complex formulae which take<br />

into account the degree to which a certain level <strong>of</strong> agreement would occur simply by chance in a set<br />

number <strong>of</strong> coding decisions (pp.120-21). After developing a standardized coding sheet, initially twelve<br />

selected newspapers are deeply observed and coded the materials in the light <strong>of</strong> the coding sheet. Four<br />

coders (2 female and 2 male students) were properly trained and facilitated to check the authenticity <strong>of</strong><br />

the coding sheet and the consistency among the dimensions <strong>of</strong> the study’s main concepts. Higher<br />

percentage <strong>of</strong> inter-coder reliability was observed. In this way, finally the required data from the<br />

selected 60 newspapers was collected.<br />

Findings<br />

The results <strong>of</strong> the study reveal that both the selected leading newspapers have spared significant space<br />

by almost all their pages the pictures <strong>of</strong> events and personnel <strong>of</strong> international, national, provincial, and<br />

regional importance for the whole period <strong>of</strong> three months. The daily ‘Dawn’ exclusive pictorial<br />

coverage given to the issues listed in the table 1.1 reveals that the paper has given significant<br />

importance by both number <strong>of</strong> pictures (26) and space (2474) in centimeters to international political<br />

events compared to its number <strong>of</strong> pictures and space devoted national, provincial and regional issues.<br />

Significant difference is observed between the paper pictorial coverage <strong>of</strong> the events <strong>of</strong> developmental


752 Muhammad Nawaz Mahsud, Muhammad Khalid and Firasat Jabeen<br />

affairs. The paper has spared significant space to the events <strong>of</strong> national (7023 cm) and regional<br />

(7328cm) importance than its space given to international, and provincial developmental issues.<br />

The findings further illustrate that the paper has spared significant space (3078cm) to the<br />

pictures on economics’ events <strong>of</strong> national importance than the observed space given to the pictures <strong>of</strong><br />

the same events <strong>of</strong> international, provincial and regional level. The pictorial coverage <strong>of</strong> the education<br />

events shows somewhat difference position. International education events are given more space<br />

(2351cm) than the space coverage given to education’ pictures <strong>of</strong> national or regional level. The results<br />

reveal very little but not significant difference between the number <strong>of</strong> pictures and space devoted to the<br />

events <strong>of</strong> international and national festivals. The analytical review <strong>of</strong> the findings does not indicate<br />

significant difference between the paper coverage to technology, disasters and other events. The paper<br />

has given more space to the pictures on regional environmental issues for the prescribed three months<br />

period. It is also observed that the paper has published more pictures on the events <strong>of</strong> international<br />

accidents but given more space to the pictures on the events <strong>of</strong> regional accidents. It is also evident<br />

from the findings <strong>of</strong> table 1.1 that the paper has spared significant space to the pictures <strong>of</strong> the events <strong>of</strong><br />

national crimes (2975cm) and showbiz (3283cm) compared to international events <strong>of</strong> crime (1263cm)<br />

and showbiz 2743cm). The empirical results show significant difference regarding the paper space<br />

coverage given to the events <strong>of</strong> protests, war against terrorism and sports. National protests’ events are<br />

given more space (4086cm) than the event <strong>of</strong> international protests (2365cm), while the paper has<br />

spared significantly more space (5873 cm) to the international events <strong>of</strong> war against terrorism and<br />

sports (13419cm) than the national events <strong>of</strong> war against terrorism (3484cm) and sports (2509).<br />

Table 1.1: Pictorial coverage by ‘Dawn’ for the selected period<br />

International National Provincial Regional<br />

# <strong>of</strong> Space In # <strong>of</strong> Space in # <strong>of</strong> Space in # <strong>of</strong> SpaceIn<br />

Categories<br />

photos cm photos cm photos cm photos cm<br />

Politics 26 2474 8 915 5 805 1 21<br />

Developmental Affairs 7 896 46 7023 1 190 37 7328<br />

Economics 7 777 30 3078 0 0 2 446<br />

Education 23 2351 8 1299 4 644 2 228<br />

Festivals 16 3151 13 2800 0 0 7 1405<br />

Technology 9 1457 6 690 0 0 0 0<br />

Environment 0 0 3 553 0 0 6 1165<br />

Disaster 2 437 0 0 0 0 3 563<br />

Accident 12 89 1 206 0 0 5 1139<br />

Nature 10 2166 11 2145 2 82 4 456<br />

Crime 7 1263 13 2975 0 0 8 1509<br />

Showbiz 31 2743 25 3283 0 0 0 0<br />

Health 2 470 6 578 0 0 1 115<br />

Weather 1 138 1 213 0 0 6 1234<br />

Protest 12 2365 20 40 96 6 1390 15 3129<br />

War Events 35 5973 20 3494 2 252 8 1412<br />

Sports 86 13419 20 2509 0 0 2 585<br />

Others 9 1766 10 1557 0 0 8 1908<br />

Total 298 44112 241 37417 20 3364 115 22643<br />

Conclusion<br />

As it is evident from the figures <strong>of</strong> table 1.1 that daily ‘Dawn’ has significantly published more<br />

pictures (298) and spared more space (44112) in centimeter to the events <strong>of</strong> international importance<br />

than its number <strong>of</strong> pictures and space given to the events <strong>of</strong> national (241 pictures, 37417 space),<br />

provincial (20 pictures, 3364 space), and regional (115 pictures, 22643 space) importance.<br />

The study’s another paper ‘The Nation’ pictorial coverage to the same set <strong>of</strong> issues for the same<br />

period shows that the paper has significantly spared more space (5259cm) to the pictures on<br />

international political events than the pictures on national (1598cm), provincial (1771cm), and regional<br />

(1553cm) political events. The results show that the paper has devoted significant space (5198cm) to


Comparative Analysis <strong>of</strong> Pictorial Coverage <strong>of</strong> Events by Pakistan’s English Press 753<br />

the pictures on the regional development issues compared to the spaces given to international, national,<br />

and provincial developmental issues (table 1.2) The review <strong>of</strong> the results further shows that pictures on<br />

international economics affairs are given highly significant space (7042cm) than the observed spaces<br />

given to the pictures on national, provincial, and regional economic events. Little but not significant<br />

difference is observed between the space given to education events. Picture on regional educational<br />

matters are given little more space compared to the space devoted to international, national, and<br />

provincial education matters. The review <strong>of</strong> the space given to festival matters reveals somewhat<br />

difference. Pictures on the national festival events are given little more space (1819cm) than the space<br />

(1155cm) given to international festival events.<br />

Table 1.2: Pictorial coverage by ‘The Nation’ for selected time period<br />

International National Provincial Regional<br />

Categories<br />

# <strong>of</strong> photos<br />

Space<br />

in cm<br />

# <strong>of</strong> photos Space<br />

in cm<br />

# <strong>of</strong> photos<br />

Space<br />

in cm<br />

# <strong>of</strong> Photos Space<br />

In cm<br />

Politics 91 5259 28 1598 13 1771 21 1553<br />

Developmental Affairs 8 1375 8 777 0 0 39 5198<br />

Economics 42 7042 15 963 1 103 15 615<br />

Education 6 590 11 319 5 442 10 981<br />

Festival 9 1155 12 1819 0 0 1 59<br />

Technology 32 3444 1 60 0 0 0 0<br />

Environment 1 14 0 0 0 0 7 924<br />

Disaster 1 226 1 192 0 0 0 0<br />

Accident 2 280 0 0 0 0 2 195<br />

Nature 14 636 10 2566 0 0 3 355<br />

Crime 11 852 3 274 0 0 10 1579<br />

Showbiz 99 7985 21 1857 0 0 0 0<br />

Health 6 227 4 487 0 0 3 144<br />

Weather 4 166 1 166 0 0 3 782<br />

Demonstration 16 3302 14 2011 0 0 21 2917<br />

War Events 25 3570 30 2928 9 695 50 6667<br />

Sports 124 19092 46 4940 0 0 15 564<br />

Others 16 1213 5 972 0 0 6 883<br />

Total e 518 58131 210 21934 28 3012 206 23421<br />

The results further show highly significant difference between the number <strong>of</strong> pictures and space<br />

given to the events <strong>of</strong> technology. The paper has devoted very significant space (3444cm) to<br />

international technological events than its space (60cm) given to national technological events. The<br />

study’ findings don’t reveal significant difference between the paper’s number <strong>of</strong> pictures and space<br />

spared to the events <strong>of</strong> environment, disaster, crime, health, accident, and weather. While, a big<br />

difference is observed between the paper number <strong>of</strong> pictures and space spared to the events <strong>of</strong> nature.<br />

Highly significant space (2566cm) is given to the pictures published on national events <strong>of</strong> nature than<br />

the space (636cm) devoted to the nature events <strong>of</strong> international importance.<br />

The results shown by table 1.2 further show significant differences between the number <strong>of</strong><br />

pictures and space devoted by the same paper to the events <strong>of</strong> showbiz, demonstration, war against<br />

terrorism, and sports. The paper has given high significant space to the pictures <strong>of</strong> the events <strong>of</strong><br />

international showbiz (7985cm), demonstration (3302cm), war against terrorism (3570cm), and sports<br />

(19092cm) than the space devoted to the same set <strong>of</strong> events <strong>of</strong> national level. However, the observed<br />

findings reveal that the paper has spared high significant space (6667cm) to the pictures on war against<br />

terrorism events <strong>of</strong> regional importance compared to the space given to the war events <strong>of</strong> national and<br />

international importance.


754 Muhammad Nawaz Mahsud, Muhammad Khalid and Firasat Jabeen<br />

Conclusion<br />

As it is evident from the figures <strong>of</strong> table 1.2 that daily ‘The Nation’ has significantly published more<br />

pictures (518) and spared more space (58131) in centimeter to the events <strong>of</strong> international importance<br />

than its number <strong>of</strong> pictures and space given to the events <strong>of</strong> national (210 pictures, 21934 space),<br />

provincial (28 pictures, 3012 space), and regional (206 pictures, 23421 space) importance.<br />

The graphic presentation <strong>of</strong> the daily ‘Dawn’ shows that the paper has given more space to the<br />

pictures on the events <strong>of</strong> international and national importance compared to their space given to the<br />

events <strong>of</strong> provincial and regional importance (figure 1.1). Conversely, daily ‘The Nation’ space<br />

coverage devoted to the pictures published on the events <strong>of</strong> international, national, provincial, and<br />

regional matters <strong>of</strong> importance shows different position. The paper as shown by figure 1.2 has given<br />

significant space to the pictures on the events <strong>of</strong> regional importance than the events <strong>of</strong> international,<br />

national, and provincial importance. The comparison <strong>of</strong> both the papers number <strong>of</strong> pictures shows that<br />

daily ‘The Nation’ has published more pictures on international events than the national, provincial,<br />

and regional events (figure 1.3). While daily the ‘Dawn” has published more pictures on the events <strong>of</strong><br />

international and national importance compared to its pictures on the events <strong>of</strong> provincial and regional<br />

importance (figure 1.4).<br />

Figure 1.1: Dawn pictorial coverage<br />

50000<br />

40000<br />

30000<br />

20000<br />

10000<br />

0<br />

International<br />

National<br />

Provincial<br />

Regional<br />

Figure 1.2: The Nation pictorial coverage<br />

10000<br />

8000<br />

6000<br />

4000<br />

2000<br />

0<br />

International<br />

National<br />

Provincial<br />

Regional<br />

Figure 1.3: Picture Coverage by The Nation<br />

206 International<br />

28<br />

210<br />

518<br />

National<br />

Provincial<br />

Regional


Comparative Analysis <strong>of</strong> Pictorial Coverage <strong>of</strong> Events by Pakistan’s English Press 755<br />

Figure 1.4: Picture coverage by Dawn<br />

20<br />

115<br />

241<br />

298<br />

International<br />

National<br />

Provincial<br />

The empirical findings regarding both the dailies space coverage given to pictures published on<br />

the events for the whole three months period show that both the newspapers have spared significant<br />

space to the events <strong>of</strong> international importance than the events <strong>of</strong> national, provincial, and regional<br />

importance (figures 1.5 & 1.6). However, daily the ‘Dawn’ has given significantly more space to<br />

events <strong>of</strong> national level compared to the space given by daily ‘The Nation’ to the same events for same<br />

period.<br />

Regional<br />

Figure 1.5: Space coverage by The Nation<br />

Regional<br />

21%<br />

Province<br />

3%<br />

National<br />

27%<br />

Internati<br />

onal<br />

49%<br />

Figure 1.6: Space coverage by Dawn<br />

Regional<br />

21%<br />

Province<br />

3%<br />

National<br />

35%<br />

Internati<br />

onal<br />

41%<br />

Results <strong>of</strong> the study shown by table 1.3 illustrate the comparison <strong>of</strong> number <strong>of</strong> pictures and<br />

space given to the selected categories by both the papers for the whole stipulated period. As it is<br />

evident from the findings that daily ‘Dawn’ has significantly published more pictures and also spared<br />

significant space to developmental affairs, education, festival, disaster, accident, and crimes events <strong>of</strong><br />

international, national, provincial, and regional importance compared to the number <strong>of</strong> pictures and<br />

space given by daily ‘The Nation’ to the same events for the same period. Conversely daily ‘The<br />

Nation’ published significantly more pictures and also given more space to the issues <strong>of</strong> politics,<br />

economics, technology, showbiz, health, war against terrorism, and sports <strong>of</strong> international, national,<br />

provincial, and regional importance. The results show no significant difference between both the<br />

papers’ coverage given to the events <strong>of</strong> environment, nature, weather, and others. In the light <strong>of</strong> the<br />

above findings it can be concluded that ‘The Nation’ has not published more pictures but also spared<br />

significant space to the listed set <strong>of</strong> issues compared to number <strong>of</strong> pictures and space devoted by<br />

‘Dawn’ to the same events for the whole stipulated period.


756 Muhammad Nawaz Mahsud, Muhammad Khalid and Firasat Jabeen<br />

Table 1.3: Both the papers’ Pictorial coverage Comparison<br />

Dawn The Nation<br />

Categories<br />

# <strong>of</strong> photos Space in cm # <strong>of</strong> photos Space in cm<br />

Politics 40 4215 153 10181<br />

Developmental Affairs 91 15437 55 7349<br />

Economics 39 4300 73 8723<br />

Education 37 4521 32 2332<br />

Festival 36 7356 22 3033<br />

Technology 15 2148 33 3504<br />

Environment 9 1718 8 937<br />

Disaster 5 9910 2 418<br />

Accident 18 2243 4 475<br />

Nature 27 4849 27 3557<br />

Crime 28 5747 24 2705<br />

Showbiz 56 6026 120 9842<br />

Health 9 1163 13 858<br />

Weather 8 1586 8 1115<br />

Demonstration 53 10981 51 8230<br />

War Events 65 11131 114 138510<br />

Sports 108 16513 185 24597<br />

Others 27 5230 27 3068<br />

Total 712 112669 930 223 434<br />

Conclusion<br />

The data in this review article mainly focused on many previous studies (Straubhaar & LaRose, 2004;<br />

Entman,1993; McQuail, 2005; and Bandura, 1986). Straubhaar & LaRose write that important events<br />

and figures can help to shape media content. Entman (1993) says that When information is supplied to<br />

news media by source then it arrives with a built in frame that suit the purpose <strong>of</strong> source and is unlikely<br />

to be purely objective. McQuail (2005) says that photographs are imagined to be powerful<br />

manipulators <strong>of</strong> human perception, precisely because they seem to give us a direct access to the real<br />

world. These have been selected to represent or reinforce the essence <strong>of</strong> a story, and to achieve<br />

widespread exposure in terms <strong>of</strong> the numbers <strong>of</strong> people who see the image. Bandura’s (1986) model<br />

posits four basic processes <strong>of</strong> social learning that occur in sequence: attention; retention; production;<br />

and motivation. Our attention is directed at media content <strong>of</strong> potential relevance to our lives and<br />

personal needs and interests.<br />

Keeping in view the received empirical findings, first and perhaps most obviously, it can be<br />

noted that both the selected newspapers had spared significant space by almost all their pages to<br />

photographs on important events and figures <strong>of</strong> international, national, provincial, and regional<br />

importance. However, significant difference between the findings <strong>of</strong> the national leading dailies was<br />

observed. Daily the ‘Dawn’ had given more importance to developmental affairs, education, festival,<br />

disaster, accident, and crimes events compared to the space given by ‘The Nation’ to the same events.<br />

‘The Nation’ conversely, had given significantly more space to the issues <strong>of</strong> politics, economics,<br />

technology, showbiz, health, war against terrorism, and sports than the space spared to the same events<br />

by daily ‘Dawn.’ The analytical review <strong>of</strong> the comparison <strong>of</strong> overall number <strong>of</strong> pictures and space by<br />

both the newspapers’ pages showed that international events and figures were given more importance<br />

than the events and figures national, provincial, and regional levels (ref. tables 1.1 and 1.2). It was also<br />

observed that both the papers had given significant importance to sports, showbiz, and war against<br />

terrorism’s events and personnel <strong>of</strong> international importance. A big difference was further traced out<br />

between Overall coverage <strong>of</strong> the papers had showed that ‘The Nation’ had published more number <strong>of</strong><br />

pictures and spared significant space compared to the ‘Dawn’ number <strong>of</strong> pictures and space for the<br />

whole stipulated period (ref. table 1.3) This position had extended support to the research hypothesis


Comparative Analysis <strong>of</strong> Pictorial Coverage <strong>of</strong> Events by Pakistan’s English Press 757<br />

that ‘The Nation publishes more pictures and gives more to the issues international, national, and<br />

regional importance than daily Dawn.’<br />

The daily ‘Dawn’ had given more focus on issues <strong>of</strong> international and national importance,<br />

while ‘The Nation’ had paid little more focus on issues <strong>of</strong> regional importance (ref. figures 1.1 & 1.2).<br />

Finally the study’s results did not reveal significant difference between both the papers’ coverage given<br />

to the events <strong>of</strong> environment, nature, weather, and others. In the light <strong>of</strong> the above findings it can be<br />

concluded that ‘The Nation’ has not published more pictures but also spared significant space to<br />

compared to number <strong>of</strong> pictures and space by ‘Dawn’ for the whole stipulated period <strong>of</strong> three months.<br />

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[20] Peterson, R.E. & Thurstone, L (1933). Motion Pictures and Social Attitudes <strong>of</strong> Children, New<br />

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[21] Petty, R.E. & Cacioppo, U.T (1981). Attitude and Persuation: Classic and Contemporary<br />

Approaches, Dubuque: Wm. C. Brown.<br />

[22] Petty, R.E., Baker, S.M., & Gleicher, F (1991). “Attitudes and Drug Abuse Prevention:<br />

Implications <strong>of</strong> the Elaboration Likelihood Model <strong>of</strong> Persuation”, in L. Donohew, H.E. Syper,<br />

& W.J. Bukoski (eds.), Persuasive Communication and Drug Abuse Prevention, Hillsdale, NJ:<br />

Lawrence Erlbaum Associates, pp. 71-90.<br />

[23] Petty, R.E, Unnava, R., & Strathman, A (1991). “Theories <strong>of</strong> Attitude Change”, in H.<br />

Kassarjain & T. Robertson (eds.), Handbook <strong>of</strong> Consumer Theory and <strong>Research</strong>, Englewood<br />

Cliffs, NJ: Prentice-Hall, pp. 241-280,<br />

[24] Price, Stuart (1998). Media Studies, (Singapore through Addison Wesley Longman China Ltd),<br />

pp. 202-210, 213-14, and 217.<br />

[25] Rothstein, A (1974). Photojournalism (Amphoto) pp. 15, 21.<br />

[26] Sontag, S (1978). On Photography (Penguin Books) pp. 3- 4, and 153-54.<br />

[27] Straubhaar,J & LaRose R (2004) Media Now:Understanding Media,Culture, and Technology<br />

Thomson: Wadsworth.<br />

[28] Watson, J (1998). Media Communication. An Introduction to Theory and Process, London:<br />

Macmillan Press Ltd.<br />

[29] Webster, C (1980). The New Photography (John Calder) pp. 172-73.<br />

[30] Wilder D.A. (1990). “Some Determinants <strong>of</strong> the Persuasive Power”.<br />

www.shipshapewsiebiz.com/NewsRoom.asp-20k


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.759-771<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Design Space Exploration <strong>of</strong> Regular NoC Architectures: A<br />

Multi-Objective Evolutionary Algorithm Approach<br />

Rabindra Ku. Jena<br />

Faculty <strong>of</strong> IT, Institute <strong>of</strong> Management Technology, Nagpur, India<br />

E-mail: rk_jena2@rediffmail.com<br />

Musbah M. Aqel<br />

Faculty <strong>of</strong> IT, Middle East University for Graduate Studies<br />

Ammam, Jordan<br />

E-mail: Aqelm06@yahoo.com<br />

Gopal K. Sharma<br />

Department <strong>of</strong> IT<br />

ABV-Indian Institute <strong>of</strong> Information Technology & Management, Gwalior, India<br />

E-mail: gksharma@yahoo.com<br />

Prabhat K. Mahanti<br />

Department <strong>of</strong> CSAS, University <strong>of</strong> New Brunswick, Saint John, Canada<br />

E-mail: pkmahanti@yahoo.co.in<br />

Abstract<br />

In this paper, we address the problem <strong>of</strong> topological mapping <strong>of</strong> intellectual<br />

properties (IPs) on the tile <strong>of</strong> a mesh-based NoC to minimize energy and maximum<br />

bandwidth requirement. As the stated problem is NP-hard in nature, we proposed a<br />

heuristic technique based on multi-objective genetic algorithm to obtain an optimal<br />

approximation <strong>of</strong> the pareto-optimal. We have considered “many-many” mapping between<br />

switch and cores (IPs) instead <strong>of</strong> “one-one” mapping. The evaluation performed on<br />

randomly generated benchmarks and a real application (a M-JPEG encoder), showed the<br />

efficiency, accuracy and scalability <strong>of</strong> our proposed approach.<br />

Keywords: NoC optimization, energy, performance, system level synthesis, Genetic<br />

algorithm.<br />

1. Introduction<br />

Network on Chip (NoC) has been proposed as a solution for the communication challenges like<br />

propagation delays, scalability, infeasibility <strong>of</strong> synchronous communication etc. in a nano scale regime<br />

(Zitzler and Thiele, 1999; Hu and Marculescu, 2003). To meet these challenges under the strong timeto-market<br />

pressure, it is essential to increase the reusability <strong>of</strong> components and system architectures in<br />

a plug and play fashion (Hu and Marculescu, 2003). Simultaneously, the volume <strong>of</strong> data and control<br />

traffic among the cores grows. So, it is essential to address the communication-architecture synthesis


Design Space Exploration <strong>of</strong> Regular NoC Architectures: A<br />

Multi-Objective Evolutionary Algorithm Approach 760<br />

problem through mapping <strong>of</strong> cores onto the communication architecture (Lahiri, Raghunathan, and<br />

Dey, 2000).<br />

Regular tile-based network-on-chip (NoC) architecture was proposed to mitigate these complex<br />

on-chip communication problems (Zitzler and Thiele, 1999; Jena et al, 2006; Hu and Marculescu,<br />

2003). As shown in Figure 1, such a chip consists <strong>of</strong> a grid <strong>of</strong> regular tiles where each tile can be the<br />

resources/core like a general-purpose processor, a DSP, a memory subsystem, etc. A router is<br />

embedded within each tile with the objective <strong>of</strong> connecting it to its neighboring tiles. Thus, instead <strong>of</strong><br />

routing design-specific global on-chip wires, the inter-tile communication can be achieved by routing<br />

packets.<br />

Figure 1: Regular Tile-based NoC.<br />

2<br />

1<br />

0<br />

0<br />

02<br />

1<br />

2<br />

12 22<br />

C C C<br />

01 11 21<br />

C C C<br />

00 10<br />

20<br />

C C C<br />

Three key concepts come together to make this tile-based architecture very promising:<br />

1) Structured network wiring<br />

2) Modularity<br />

3) Standard interfaces<br />

More precisely, since the network wires are structured and wired beforehand, their electrical<br />

parameters can be very well controlled and optimized. In turn, these controlled electrical parameters<br />

make it possible to use aggressively signaling circuits that help reduce the power dissipation and<br />

propagation delay significantly. Modularity and standard network interfaces facilitate reusability and<br />

interoperability <strong>of</strong> the modules. Moreover, since the network platform can be designed in advance and<br />

later reused directly with many applications, it makes sense to highly optimize this platform as its<br />

development cost can be easily amortized across many applications.<br />

On the other hand, the regular tile-based architecture may lead to significant area overhead if<br />

applied to applications whose IPs’ sizes vary significantly. In order to achieve the best performance/<br />

cost trade<strong>of</strong>f, the designer needs to select the right NoC platform (e.g., the platform with the right size<br />

<strong>of</strong> tiles, routing strategies, buffer sizes, etc.) and further customize it according to the characteristics <strong>of</strong><br />

the application under design. For most applications, the area cost overhead is fully compensated by the<br />

design time savings and performance gains because <strong>of</strong> the regular NoC architecture.<br />

The advantages <strong>of</strong> using the regular NoC approach can be further increased if the IPs in the<br />

library are developed with regularity (in terms <strong>of</strong> size) taken into consideration as well. Moreover,<br />

partitioning the application with regularity in mind can also help in reducing the cost overhead. Finally,<br />

the region-based design (Kumar et al, 2002) can be used to further reduce the area overhead by<br />

embedding irregular regions inside the NoC, which can be insulated from the network. From the design<br />

perspective, given a target application described as a set <strong>of</strong> concurrent tasks which have been assigned<br />

and scheduled, to exploit the architecture in Figure 1. More precisely, in order to get the best<br />

energy/performance trade<strong>of</strong>f, the designer needs to determine the topological placement <strong>of</strong> this IPs<br />

onto different tiles.


761 Rabindra Ku. Jena, Musbah M. Aqel, Gopal K. Sharma and Prabhat K. Mahanti<br />

Therefore this paper focuses on both computation and communication synthesis to minimize<br />

the energy consumption and communication delay by minimizing maximum link bandwidth using<br />

many-many mapping between resources and switches. The proposed communication synthesis task has<br />

been solved in two phases as shown in Figure 1. The first phase (P-1) is called computational<br />

synthesis. The input to P-I <strong>of</strong> is a task graph. The task graph consists up tasks as vertices and direct<br />

edges represent volume <strong>of</strong> data flowing between two vertices and their data dependencies. The output<br />

<strong>of</strong> P-I is a core communication graph (CCG) characterized by library <strong>of</strong> interconnection network<br />

elements and performance constraints. The core communication graph consists <strong>of</strong> processing and<br />

memory elements are shown by P/M in the Figure 2.<br />

Figure 2: Mappings for NoC synthesis problems.<br />

The directed edges between two blocks represent the communication trace. The communication<br />

trace characterized by bandwidth (bsd) and volume (vsd) <strong>of</strong> data flowing between different cores. The<br />

second phase (P-II) is basically called as communication synthesis. The input to the communication<br />

synthesis problem is the CCG. The output <strong>of</strong> the P-II is the energy and throughput synthesizes NoC<br />

back bone architecture as shown in Figure 2.<br />

In this paper we address the problem <strong>of</strong> mapping the core onto NoC architecture to minimize<br />

energy consumption and maximum link bandwidth. Both <strong>of</strong> the above stated objectives are inversely<br />

proportional to each other. The above stated problem is an NP-hard problem (Garey and Johnson,<br />

1979). So, genetic algorithm is a suitable candidate for solving the multi-objective problem (Benini and<br />

Micheli, 2002). The optimal solution obtained by our approach saves (10-70) % <strong>of</strong> energy and around<br />

(5-20) % <strong>of</strong> the maximum link bandwidth (on average) in compare to different existing approaches.<br />

Experimental result shows that our proposed model is superior in terms <strong>of</strong> quality <strong>of</strong> result and<br />

execution time in compare to other approaches.<br />

The paper is organized as follows. We review the related work in Section 2. Sections 3 and 4<br />

describe the problem definition and the energy model assumed in this paper respectively. Section 5<br />

represents the multi-objective genetic algorithm formulation for the problem. Section 6 discusses the<br />

basic idea and problem formulation for the proposed approach. Experimental results are discussed in<br />

section 7. Finally, a conclusion is given in section 8.


Design Space Exploration <strong>of</strong> Regular NoC Architectures: A<br />

Multi-Objective Evolutionary Algorithm Approach 762<br />

2. Related Work<br />

The problem <strong>of</strong> synthesis in mesh-based NoC architectures has been addressed by different<br />

authors.(Hu and Marculescu, 2003) present a branch and bound algorithm for mapping IPs/cores on a<br />

mesh-based NoC architecture that minimizes the total amount <strong>of</strong> power consumed in communications.<br />

(De Micheli, 2004) addresses the problem under the bandwidth constraint with the aim <strong>of</strong> minimizing<br />

communication delay by exploiting the possibility <strong>of</strong> splitting traffic among various paths. (Lei and<br />

Kumar, 2003) present an approach that uses genetic algorithms to map an application on a mesh-based<br />

NoC architecture. The algorithm finds a mapping <strong>of</strong> the vertices <strong>of</strong> the task graph on the available<br />

cores so as to minimize the execution time. However these papers do not solve certain important<br />

issues. The first relates to the evaluation model used. In most <strong>of</strong> the approaches the exploration model<br />

decides the mapping to explore the design space without taking important dynamic effects <strong>of</strong> the<br />

system into consideration. Again in the above mentioned works, in fact, the application to be mapped<br />

is described using task graphs, as in (Lei and Kumar, 2003), or simple variations such as the core graph<br />

in (Murali and Micheli, 2004) or the application characterization graph (APCG) in (Hu and<br />

Marculescu, 2003). These formalisms do not, however, capture important dynamics <strong>of</strong> communication<br />

traffic. The second problem relates to the optimization method used. It refers in all cases to a single<br />

performance index (power in (Hu and Marculescu, 2003), performance in (Murali and Micheli, 2004;<br />

Lei and Kumar, 2003). So the optimization <strong>of</strong> one performance index may lead to unacceptable values<br />

for another performance index (e.g. high performance levels but unacceptable power consumption).<br />

Recently, (Jena and sharma, 2006) proposed a model that consider “many-many” mapping between<br />

core and tiles using multi-objective genetic algorithm. But they used core communication graph as the<br />

input to their model.<br />

We therefore think that the problem <strong>of</strong> mapping can be more usefully solved in a multiobjective<br />

environment starting from the higher level <strong>of</strong> input (Task Graph) as compared to the model<br />

discussed in (Jena and sharma, 2006). The contribution we intend to make in this paper is to propose a<br />

multi-objective approach to solving the synthesis problem on a mesh-based NoC architecture, where<br />

we take the task graph as input. The approach will use evolutionary computing techniques based on<br />

genetic algorithm to explore the mapping space with the goal to optimize maximum link bandwidth<br />

and energy consumption (both computation and communication).<br />

3. Problem Definition<br />

3.1. A Task Graph (TG)<br />

Is a digraph, G (V, E), where each vertex v Є V represent task and each edge e Є E is a weighted edge,<br />

where weight signifies the volume <strong>of</strong> data flowing through the edge. Every edge also represents the<br />

data dependency between the connecting vertices.<br />

3.2. A Core Communication Graph (CCG)<br />

Is a digraph, G(V, E), where each vertex v Є V represent core and e Є E is a communication edge<br />

having two attributes, denoted by bsd and vsd are the required bandwidth and total volume <strong>of</strong><br />

communication respectively.<br />

3.3. Communication Structure<br />

The 2-D mesh communication architecture has been considered for its several desire properties like<br />

regularity, concurrent data transmission and controlled electrical parameters (Hu and Marculescu,<br />

2003; Kumar et al, 2002). Figure 3 shows how a Tile (T) is binding with its surrounding switches(S) in<br />

a 2-D mesh NoC architecture. Each tile is a square surrounded by ‘4’ switches and links. A resource in<br />

a tile can be connected to maximum ‘4’ switches as shown in the Figure 3. Each switch is connected to


763 Rabindra Ku. Jena, Musbah M. Aqel, Gopal K. Sharma and Prabhat K. Mahanti<br />

its neighboring switches via two unidirectional links. To prevent the packet loss due to the multiple<br />

packets approaching to the same output port, each switch has small buffers (registers) to temporarily<br />

store the packets. Each resource has ‘4’ Resource Network Interfaces (RNIs) to connect to the network<br />

via switches. RNIs are responsible for packetizing and depacketizing the communication data.<br />

Core<br />

Core<br />

NI<br />

NI<br />

NI NI<br />

Figure 3: Communication Structure.<br />

Core<br />

Core<br />

S1 S2<br />

We implement static XY wormhole routing in this paper because:<br />

i) it is easy to implement in switch.<br />

ii) it doesn’t required packet ordering buffer at the destination. It is free <strong>of</strong> deadlock and live<br />

lock (Banerjee et al, 2004; Murali and Micheli, 2004).<br />

4. Energy Model<br />

Energy minimization is the one <strong>of</strong> the major challenging task in NoC design. In (Ye et al, 2002), Ye et<br />

al. first define the bit energy metric <strong>of</strong> a router as the energy consumed when a single bit <strong>of</strong> data goes<br />

through the router. In (Hu et al, 2003) modify the bit energy model so that it is suitable for 2D mesh<br />

NoC architecture. They derives mathematical expression for bit energy consume, when data transfer<br />

from switch ‘i’ to switch ‘j’ is given by<br />

Ei,j bit = (hij+1) ESbit + hij ELbit<br />

(1)<br />

Where ESbit and ELbit are the energy consumed in the switches and links respectively. The<br />

variable hij represent the number <strong>of</strong> links on the shortest path. As per the expression, the energy<br />

consumption is depend on the hop distance (hij) between switch ‘i’ and ‘j’ because ESbit and ELbit<br />

constant. Note ESbit is the energy consumption due to switches is depending on the number <strong>of</strong> ports in<br />

the switches. But in our case the total energy is the sum <strong>of</strong> communication and computation energy, i.e<br />

E i, j bit = (hij + 1) ESbit + hij ELbit + ECom<br />

(2)<br />

EComp is the computational energy consumption. The following sections discuss the basic ideas<br />

<strong>of</strong> problem formulation using multi-objective optimization paradigm.<br />

5. Multi-Objective Optimization<br />

Definition<br />

A general multi-objective optimization problem is defined as:<br />

Minimize f (x) = (f1(x),….., fk(x)) subject to x Є X, where x represents a solution and X is a set <strong>of</strong><br />

feasible solutions. The objective function vector f (x) maps a solution vector ‘x’ in decision space to a<br />

point in objective space.<br />

In general, in a multi-objective optimization problem, it is not possible to find a single solution<br />

that minimizes all objectives, simultaneously. Therefore, one is interested to explore a set <strong>of</strong> solutions,<br />

called the pareto optimal set, which are not dominated by any other solution in the feasible set. The<br />

corresponding objective vectors <strong>of</strong> these Pareto optimal points, named efficient points, form the Pareto<br />

front on the objective space.<br />

S4<br />

S3


Design Space Exploration <strong>of</strong> Regular NoC Architectures: A<br />

Multi-Objective Evolutionary Algorithm Approach 764<br />

Definition<br />

We say x dominates x* iff i Є {1,……,k}<br />

fi(x) ≤ fi(x*) and there exists at least one i Є {1,…., k} such that fi(x) < fi(x*).<br />

The most traditional approach to solve a multi-objective optimization problem is to aggregate<br />

the objectives into a single objective by using a weighting mean. However this approach has major<br />

drawbacks. It is not possible to locate the non-convex parts <strong>of</strong> the pareto front and it requires several<br />

consecutive runs <strong>of</strong> the optimization program with different weights. Recently, there has been an<br />

increasing interest in evolutionary multi-objective optimization. This is because <strong>of</strong> the fact that<br />

evolutionary algorithms (EAs) seem well-suited for this type <strong>of</strong> problems (Coello et al, 2002), as they<br />

deal simultaneously with a set <strong>of</strong> possible solutions called population. This allows us to find several<br />

members <strong>of</strong> the pareto optimal set in a single run <strong>of</strong> the algorithm. To solve the synthesis problem as<br />

discussed in section 4, we used the multi-objective genetic algorithm principle.<br />

5.1. A Multi-Objective Genetic Algorithm<br />

In order to deal with the multi-objective nature <strong>of</strong> NoC problem we have developed genetic algorithms<br />

at different phases in our model. The algorithm starts with a set <strong>of</strong> randomly generated solutions<br />

(population). The population’s size remains constant throughout the GA. Each iteration, solutions are<br />

selected, according to their fitness quality (ranking) to form new solutions (<strong>of</strong>fspring). Offspring are<br />

generated through a reproduction process (Crossover, Mutation). In a multi-objective optimization, we<br />

are looking for all the solutions <strong>of</strong> best compromise, best solutions encountered over generations are<br />

fled into a secondary population called the “Pareto Archive”. In the selection process, solutions can be<br />

selected from this “Pareto Archive” (elitism). A part <strong>of</strong> the <strong>of</strong>fspring solutions replace their parents<br />

according to the replacement strategy. In our study, we used elitist non-dominated sorting genetic<br />

algorithm NSGA-II by (Deb et al, 2002). The following section outlined the working principle <strong>of</strong><br />

NSGA-II.<br />

5.1.1. NSGA-II<br />

In this section we discuss how the elitist selection occurs in NSGA-II by the classification <strong>of</strong> the<br />

population into different fronts based on non dominated sorting ranks.<br />

Figure 4: NAGA-II working principle.<br />

In NSGA-II, as shown in Figure 4 the <strong>of</strong>fspring population Qt is first created by using the<br />

parent population Pt. However, instead <strong>of</strong> finding the non dominated front <strong>of</strong> Qt only, first the two<br />

populations are combined together to form Rt <strong>of</strong> size 2N. Then a non – dominated sorting is used to<br />

classify the entire population Rt. Although this requires more effort compared to performing a nondominating<br />

sorting on Qt alone, it allows a global non-domination check among the <strong>of</strong>fspring and<br />

parent solutions. Once the non-dominated sorting is over, the new population is filled by solutions <strong>of</strong><br />

different non-dominated fronts, one at a time. The filling starts with the best non-dominated front and


765 Rabindra Ku. Jena, Musbah M. Aqel, Gopal K. Sharma and Prabhat K. Mahanti<br />

continues with solutions <strong>of</strong> the second non-dominated front, followed by the third non-dominated front<br />

and so on. Since the overall population size <strong>of</strong> Rt is 2N, not all fronts may be accommodated in N slots<br />

available in the new population. All fronts which could not be accommodated are simply deleted.<br />

When the last allowed front is being considered, there may exist more solutions in the last front than<br />

the remaining slots in the new population. This scenario is illustrated in Figure 4. Instead <strong>of</strong> arbitrarily<br />

discarding some members <strong>of</strong> the last front, it would be wise to use a niching strategy to choose the<br />

members <strong>of</strong> the last front, which reside in the least crowded region in that front. But we will not go into<br />

too much detail on that. For more details refer to (Deb, 2002).<br />

6. Problem Formulation<br />

6.1. Basic Idea<br />

Like other algorithms in area <strong>of</strong> design automation, the algorithm <strong>of</strong> NoC communication architecture<br />

is a hard problem. Our attempt is to develop an algorithm that can give near optimal solution within<br />

reasonable time. Genetic algorithms have shown the potential to achieve the dual goal quite well (Jena<br />

et al, 2006; Lahiri et al, 2000; Srinivasan and Chatha, 2005).<br />

As shown in Figure 5 and discussed in section 1, the problem is solved in two phases. The first<br />

phase (P-I) is basically a task assignment problem (TA-GA). The input to the problem is a TG. We<br />

assume that all the edge delays are a constant and equal to Average Edge Delay (AED) (Banerjee et al,<br />

2004).The output <strong>of</strong> the first phase is a Core Communication Graph (CCG).<br />

The main task <strong>of</strong> the second phase (P-II) is communication synthesis which basically deals with<br />

mapping <strong>of</strong> cores to the tiles <strong>of</strong> the NoC backbone using multi objective genetic algorithm. The next<br />

section discusses each phases in detail.<br />

Figure 5: An overall design flow.<br />

TA-GA<br />

CTA-GA<br />

CTS-GA<br />

NoC Architecture Description<br />

Task Graph<br />

Task Assignment<br />

Evaluation<br />

Core Communication Graph<br />

Core Tile Mapping<br />

Evaluation<br />

Core Tile Switch Mapping<br />

Evaluation<br />

Optimize NoC<br />

6.1.1. Task Assignment Problem (TA-GA)<br />

Given a task graph TG with all edge delay are constant and equal to average edge delay and IPs with<br />

specifications matrix containing cost and computational energy. The main objectives <strong>of</strong> this phase are<br />

to assign the tasks from the task graph to the available IPs in order to:<br />

(i) minimize the computational energy by reducing the power consumption.<br />

P-I<br />

P-II


Design Space Exploration <strong>of</strong> Regular NoC Architectures: A<br />

Multi-Objective Evolutionary Algorithm Approach 766<br />

(ii) Minimize the total cost <strong>of</strong> the resources. The above said problem is a NP-hard multi-objective<br />

problem. We proposed a multi-objective genetic algorithm based on principle <strong>of</strong> NSGA-II as<br />

discussed in subsection 5.1.1.<br />

Generally, in genetic algorithm, the chromosome is the representation <strong>of</strong> solution to the<br />

problem. In this case length <strong>of</strong> each chromosome is proportional to the number <strong>of</strong> nodes in a task<br />

graph. The i-th gene in the chromosome identifies the IP which is assigning the i-th node in the task<br />

graph. One example <strong>of</strong> chromosome encoding is given in Figure 5. Each gene (node in TG) in the<br />

chromosome contains an integer which represents a IP. Each IP is chosen from the list <strong>of</strong> permissible<br />

IPs for that task. As shown in the Figure 6 the task number ‘2’ in the task graph is assign to IP number<br />

‘7’ which is chosen from set <strong>of</strong> IPs {7, 8, and 17}. We consider a single point crossover to generate the<br />

<strong>of</strong>fspring’s. As for mutation operation, we consider the mutation by substitution i.e. at a time a gene in<br />

a chromosome is chosen with some random probability and the value in the gene is substitute by one <strong>of</strong><br />

the best permissible value (i.e the index value <strong>of</strong> an IP) for the gene. The aim is to assign more tasks to<br />

a particular IP to reduce the communication between IPs. (i.e., to minimize the number <strong>of</strong> IPs used for<br />

a task graph.)<br />

Figure 6: Chromosome encoding for task assignment.<br />

Chromosome<br />

6.1.2. Core-Tile Mapping (CTM)<br />

After optimal assignment <strong>of</strong> tasks to the IPs, we get a Core Communication Graph (CCG) as shown in<br />

the Figure 5. The input to this mapping task CT-GA is a CCG and a structure <strong>of</strong> NoC back bone. In our<br />

case it is a n×m mesh. The objectives <strong>of</strong> the mapping are (i) to reduce the average communication<br />

distance between the cores (i.e., to reduce number <strong>of</strong> switches in the communication path). (ii) to<br />

maximize throughput(i.e., minimize the maximum link bandwidth) under the communication<br />

constraint. The task <strong>of</strong> CTM is solved in two steps:<br />

(a) Core-Tile assignment (CTA-GA)<br />

(b) Core-Tile-Switch assignment (CTS-GA)<br />

6.1.2.1. Core-tile Assignment (CTA-GA)<br />

Core-tile assignment is a multi-objective mapping which maps the cores from CCG to the tiles <strong>of</strong> the<br />

NoC structure. So the multi-objective genetic algorithm based on NSGA-II is a best candidate for the<br />

above said mapping problem. Here the chromosome is the representation <strong>of</strong> the solution to the<br />

problem, which in this case describe by the mapping.<br />

The inputs to CTA-GA are the CCG and NoC backbone structure. In this case the Noc<br />

backbone is a 2D mesh. Each tile in mesh has an associated gene which identified the core mapped to<br />

the tile. In n×m mesh, for example the chromosome is formed by n×m genes. The i-th gene identified<br />

the core in the tiles in row (⎡(i/n)⎤) and column (i % n).<br />

The crossover and mutation operators for this mapping have been defined suitably as follows:<br />

Crossover<br />

The crossover between two chromosomes C1 and C2 is generated a new chromosome C3 as follows.<br />

The dominant mapping between C1 and C2 is chosen. Its hot core (the hot core is the IP in CCG


767 Rabindra Ku. Jena, Musbah M. Aqel, Gopal K. Sharma and Prabhat K. Mahanti<br />

required maximum communication) is remapped to a random tile in the mesh, resulting a new<br />

chromosome C3.<br />

Algorithm Crossover (C1, C2)<br />

{<br />

If (C1 dominate C2)<br />

C3 = C1;<br />

else<br />

C3 = C2;<br />

Swap (C3, Hot (C3), random({1,2,3,…….m×n}));<br />

Return (C3);<br />

}<br />

The function Swap(C, i, j) exchange the i-th gene with j-th gene in the chromosome C.<br />

Mutation:<br />

The mutation operator acts on a single chromosome (C) to obtained a muted chromosome C 0 as<br />

follows. A tile Ts from chromosome C is chosen at random. Indicating the core in the tile Ts as cs and ct<br />

as the core with which cs communicates most frequently, cs is remapped on a tile adjacent to Ts so as to<br />

reduce the distance between cs and ct thus obtaining the mutated chromosome C 0 . Algorithm, given<br />

below describes the mutation operator. The RandomTile(C) function gives a tile chosen at random<br />

from chromosome C. The MaxCommunication(c) function gives the core, with which c communicates<br />

most frequently. The Row(C, T) and Col(C, T) functions respectively give the row and column <strong>of</strong> the<br />

tile T in chromosome C. Finally, the Upper, Lower, Left, Right(C, T) functions give the tile to the<br />

north, south, east and west <strong>of</strong> the tile T in chromosome C.<br />

Mutate (C)<br />

{<br />

Chromosome C 0 = C;<br />

Tile Ts = Random Tile (C 0 );<br />

Core cs = C 0-1 (Ts);<br />

Core ct = MaxCommunication (cs);<br />

Tile Tt = C 0 (ct);<br />

i f (Row(C 0 , Ts) < Row(C, Tt))<br />

T 0 s = Upper (C 0 , Ts);<br />

else if (Row(C 0 , Ts) > Row(C 0 , Tt))<br />

T 0 s = Lower(C 0 , Ts);<br />

else if (Col(C 0 , Ts) < Col(C 0 , Tt))<br />

T 0 s = Left(C 0 , Ts);<br />

else<br />

T 0 s = Right(C 0 , Ts);<br />

Swap (C 0 , Ts, T 0 s);<br />

Return (C 0 );<br />

}<br />

6.1.2.2. Core-Tile-Switch assignment (CTS-GA)<br />

The CTS-GA is a crucial step in the whole optimization process. This step is followed by CTA-GA as<br />

discussed in the previous section. The input to CTS-GA is the best chromosomes from CTA-GA and<br />

CCG. The best chromosome derived from CTA-GA shows the efficient placement <strong>of</strong> core in the tiles<br />

<strong>of</strong> a 2D-mesh. As we discussed in section 1, our mapping is a many-many mapping from tiles to<br />

switches i.e. a tile can bind to more than one switch (maximum 4) and a switch can connected to more<br />

than one tiles (maximum 4). The aim <strong>of</strong> the many-many mapping is to reduce<br />

(1) The hop distance between source and destination, and<br />

(2) The congestions at NI to increase the throughput.


Design Space Exploration <strong>of</strong> Regular NoC Architectures: A<br />

Multi-Objective Evolutionary Algorithm Approach 768<br />

For the above stated optimization problem, we considered multi-objective genetic algorithm<br />

based on NSGA-II. Here each gene in the chromosome is representing an edge in the CCG, which<br />

includes source and destination. So the number <strong>of</strong> genes in each chromosome is the number <strong>of</strong> edges in<br />

the CCG. Each tile in each gene position can be bind at most four switches as shown in Figure 7.<br />

Figure 7: Chromosome representation for CTS-GA.<br />

i th gene<br />

7. Experimental Results<br />

This section presents the results <strong>of</strong> our multi-objective genetic formulation (MGA). The final results i.e<br />

the result obtained after completion <strong>of</strong> CTM are compared with PBB algorithm (Hu and Marculescu,<br />

2003) and MGAP algorithm (Jena et al, 2006). For TA-GA, we consider NSGA-II multi-objective<br />

evolutionary algorithm technique with crossover probability 0.98 and mutation probability 0.01. For<br />

CTA-GA, we consider NSGA-II with our introduced new crossover and mutation operator. For CTS-<br />

GA, again we consider NSGA-II with uniform crossover with probability 0.98 and single point<br />

mutation with probability 0.01.Table 1 shows the bit-energy value <strong>of</strong> a link and a switch (4×4)<br />

assuming 0.18 µm technology.<br />

Table 1: Bit energy values for switch and link.<br />

ELbit<br />

ESbit<br />

5.445pJ 0.43pJ<br />

The value <strong>of</strong> ELbit is calculated from the following parameters:<br />

(1) length <strong>of</strong> link (2mm)<br />

(2) capacitance <strong>of</strong> wire (0.5fF/ µm)<br />

(3) voltage swing (3.3V).<br />

In our experiment, we consider three random task graphs, each consisting <strong>of</strong> 9, 14 and 18 nodes<br />

respectively. After P-I, we found that the CCG <strong>of</strong> all three benchmarks consists up less than 9 cores.<br />

So, which can be mapped on to a 3×3 mesh NoC architecture. But for performance comparison<br />

between “many-many” and “one-one” binding between core and switch, we consider more complex<br />

task graphs. We considered that the required bandwidth <strong>of</strong> an edge connect two different nodes is<br />

uniformly distributed over the range [0, 150Mbytes].The traffic volume <strong>of</strong> an edge also has been<br />

uniformly distributed over the range [0, 1Gbits]. Figure 8 shows the maximum link bandwidth<br />

utilization <strong>of</strong> three benchmarks. It is clear from the figure that our approach (MGA) saves more than<br />

5% link bandwidth as compare to MGAP and around 15% in compare to PBB. Figure-9 shows that our<br />

approach saves more than 70% <strong>of</strong> energy consumptions in compare to PBB (on average) and around<br />

10% in compare to MGAP.<br />

The real time application is a modified Motion-JPEG (M-JPEG) encoder. Which differs from<br />

traditional encoders in three ways: (i) it only supports lossy encoding while traditional encoders<br />

support both lossless and lossy encodings.(ii) it can operate on YUV and RGB video data whereas<br />

traditional encoders usually operate on the YUV format, and (iii) it can change quantization and


769 Rabindra Ku. Jena, Musbah M. Aqel, Gopal K. Sharma and Prabhat K. Mahanti<br />

Huffman tables dynamically while the traditional encoders have no such behavior. We omit giving<br />

further details on the M-JPEG encoder as they are not crucial for the experiments performed here.<br />

Interested readers may refer to (Pimentel et al, 2002). Figure 10 shows the bandwidth requirements and<br />

energy consumptions for M-JPEG encoder application. From the figure it is clear that our approach out<br />

perform other approaches. Figure 11 shows the behavior <strong>of</strong> NSGA-II with respect to number <strong>of</strong><br />

generations.<br />

Figure 12 shows a important performance comparison “many-many” mapping versus “oneone”<br />

mapping between core and switch. The figure shows that “many-many” mapping saves up to (70-<br />

72) % <strong>of</strong> energy consumption and up to 20% <strong>of</strong> maximum link bandwidth in compare to “one-one”<br />

mapping. Further the figure shows that the saving factor increases with increase <strong>of</strong> the dimension <strong>of</strong><br />

NoC architecture for more complex applications.<br />

Figure 8: Maximum Link Bandwidth comparisons for three random benchmarks.<br />

Maximum Link<br />

Bandwidth(MB/s)<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

MGA PBB MGAP<br />

1 2<br />

Benchmarks<br />

3<br />

Figure 9: Energy comparisons for three random benchmarks.<br />

Enargy<br />

Consumptions(mJ)<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

MGA PBB MGAP<br />

1 2<br />

Benchmarks<br />

3


Design Space Exploration <strong>of</strong> Regular NoC Architectures: A<br />

Multi-Objective Evolutionary Algorithm Approach 770<br />

Figure 10: Maximum Link Bandwidth and Energy comparisons for M-JPEG.<br />

Normalized Values<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

MGA PBB MGAP<br />

Energy Max. Link<br />

Bandwidth<br />

Performance Matrices<br />

Figure 11: M-JPEG Encoder performance using NSGA-II.<br />

Figure 12: ‘Many-Many’ Vs ‘One-One’ performance comparison.<br />

8. Conclusion<br />

In this paper we have proposed a model for topological mapping <strong>of</strong> IPs/cores in a mesh-based NoC<br />

architecture with many- many mappings between core to switches. The approach uses heuristics based<br />

on multi-objective genetic algorithms (NSGA-II) to explore the mapping space and find the pareto<br />

mappings that optimize Maximum link bandwidth and performance and power consumption. The<br />

experiments carried out with randomly generated benchmarks and a real application (M-JPEG encoder<br />

system) confirms the efficiency, accuracy and scalability <strong>of</strong> the proposed approach. Future<br />

developments will mainly address the definition <strong>of</strong> more efficient genetic operators to improve the<br />

precision and convergence speed <strong>of</strong> the algorithm Evaluation will also be made <strong>of</strong> the possibility <strong>of</strong>


771 Rabindra Ku. Jena, Musbah M. Aqel, Gopal K. Sharma and Prabhat K. Mahanti<br />

optimizing mapping by acting on other architectural parameters such as routing strategies, switch<br />

buffer sizes, etc.<br />

References<br />

[1] A. D. Pimentel, S. Polstra, F. Terpstra, A. W. van Halderen, J. E. C<strong>of</strong>fland, and L.<br />

O.Hertzberger (2002) Towards efficient design space exploration <strong>of</strong> heterogeneous embedded<br />

media systems. E. Deprettere, J. Teich, and S. Vassiliadis, editors, Embedded Processor Design<br />

Challenges: Systems, Architectures, Modeling, and Simulation, volume 2268 <strong>of</strong> LNCS,<br />

Springer-Verlag, pp.7–73.<br />

[2] C. A. Coello, D. A. Van Veldhuizen, and G. B. Lamont (2002) Evolutionary Algorithms for<br />

Solving Multi-Objective Problems. Kluwer Academic Publishers, New York.<br />

[3] C. J. Glass and L. M. Ni (1992) The Turn Model for Adaptive Routing, Proc.19 th Ann. Int’l<br />

Symp. Computer Architecture, pp. 278-287.<br />

[4] Deb, K. (2002) Multi-Objective Optimization using Evolutionary Algorithms, John Wiley and<br />

Sons Ltd, pp. 245-253.<br />

[5] E. Zitzler and L. Thiele (1999) Multi-objective evolutionary algorithms: A comparative case<br />

study and the strength pareto approach, IEEE Transactions on Evolutionary Computation, 4(3),<br />

pp.257–271.<br />

[6] J. Hu and R. Marculescu (2003) Energy-aware mapping for tile-based NoC architectures under<br />

performance constraints, Asia & South Pacific Design Automation Conference.<br />

[7] J. Hu and R. Marculescu (2003) Exploiting the Routing Flexibility for Energy/Performance<br />

Aware Mapping <strong>of</strong> Regular NoC Architectures, Proc. DATE’03, pp. 688-693.<br />

[8] Jena R. K., Sharma, G.K, (2006) A multi-objective Optimization Model for Energy and<br />

Performance Aware Synthesis <strong>of</strong> NoC architecture, Proceedings <strong>of</strong> IP/SoC, Decmber 6-7, pp<br />

477-482.<br />

[9] K. Lahiri, A. Raghunathan, and S. Dey (2000) Efficient Exploration <strong>of</strong> the SoC Communication<br />

Architecture Design Space, Proc. IEEE/ACM ICCAD’00, pp. 424-430.<br />

[10] K. Srinivasan and Karam S. Chatha (2005) ISIS: A Genetic Algorithm based Technique for<br />

Custom On-Chip Interconnection Network Synthesis, Proceedings <strong>of</strong> the 18 th International<br />

Conference on VLSI Design (VLSID’05).<br />

[11] Luca Benini and Giovanni De Micheli (2002) Networks on Chips: A New SoC Paradigm, IEEE<br />

Computer, pp. 70–78.<br />

[12] M. R. Garey and D. S. Johnson (1979) Intractability: a guide to the theory <strong>of</strong> NP-completeness,<br />

Freeman and Company.<br />

[13] N. Banerjee, P. Vellanki, and K. S. Chatha (2004) A power and performance model for<br />

network-on-chip architectures, Design, Automation and Test in Europe, pp. 1250–1255.<br />

[14] S. Kumar et al. (2002) A Network on Chip Architecture and Design Methodology, Proc.<br />

ISVLSI’02, April 2002, pp. 105-112.<br />

[15] S. Murali and G. D. Micheli (2004) Bandwidth-constrained mapping <strong>of</strong> cores onto NoC<br />

architectures, Design, Automation, and Test, Europe IEEE Computer Society, pp. 896–901.<br />

[16] T. Lei and S. Kumar (2003) A two-step genetic algorithm for mapping task graphs to a network<br />

on chip architecture, Euro micro Symposium on Digital Systems Design, Sept. 1–6.<br />

[17] T. T. Ye, L. Benini, and G. D. Micheli (2002) Analysis <strong>of</strong> Power Consumption on Switch<br />

Fabrics in Network Routers, Proc. DAC’02, pp.524-529.<br />

[18] William J. Dally and Brian Towles (2002) Route Packet, Not Wires: On-Chip Interconnection<br />

Networks, Proceedings <strong>of</strong> DAC.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.772-787<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Etude Comparative des Méthodes D’évaluation de la<br />

Vulnérabilité à la Pollution des Aquifères en<br />

Milieu Poreux: Application Aux Eaux Souterraines du<br />

District D’abidjan (Sud de la Côte D’ivoire)<br />

Kouamé Kan Jean<br />

Laboratoire des Sciences et Techniques de l’eau et de l’Environnement (LSTEE)<br />

UFR des Sciences de la Terre et des Ressources Minières<br />

Université de Cocody Abidjan (UCA), 22 BP 582 Abidjan 22<br />

Jourda Jean Patrice<br />

Laboratoire des Sciences et Techniques de l’eau et de l’Environnement (LSTEE)<br />

UFR des Sciences de la Terre et des Ressources Minières<br />

Université de Cocody Abidjan (UCA), 22 BP 582 Abidjan 22<br />

Centre Universitaire de Recherche et d’Application en Télédétection (CURAT)<br />

UFR des Sciences de la Terre et des Ressources Minières, 22 BP 801 Abidjan 22<br />

Adja Miessan Germain<br />

Laboratoire des Sciences et Techniques de l’eau et de l’Environnement (LSTEE)<br />

UFR des Sciences de la Terre et des Ressources Minières<br />

Université de Cocody Abidjan (UCA), 22 BP 582 Abidjan 22<br />

Deh Serges Kouakou<br />

Laboratoire des Sciences et Techniques de l’eau et de l’Environnement (LSTEE)<br />

UFR des Sciences de la Terre et des Ressources Minières<br />

Université de Cocody Abidjan (UCA), 22 BP 582 Abidjan 22<br />

Anani Abenan Tawa<br />

Laboratoire des Sciences et Techniques de l’eau et de l’Environnement (LSTEE)<br />

UFR des Sciences de la Terre et des Ressources Minières<br />

Université de Cocody Abidjan (UCA), 22 BP 582 Abidjan 22<br />

Effini Adiow Thérèse<br />

Laboratoire des Sciences et Techniques de l’eau et de l’Environnement (LSTEE)<br />

UFR des Sciences de la Terre et des Ressources Minières<br />

Université de Cocody Abidjan (UCA), 22 BP 582 Abidjan 22<br />

Biémi Jean<br />

Laboratoire des Sciences et Techniques de l’eau et de l’Environnement (LSTEE)<br />

UFR des Sciences de la Terre et des Ressources Minières<br />

Université de Cocody Abidjan (UCA), 22 BP 582 Abidjan 22<br />

Centre Universitaire de Recherche et d’Application en Télédétection (CURAT)<br />

UFR des Sciences de la Terre et des Ressources Minières, 22 BP 801 Abidjan 22


Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: 773<br />

Abstract<br />

Supply drinking water <strong>of</strong> Abidjan District population is dependent <strong>of</strong> groundwater<br />

and water quality is unceasingly threatened to various potential sources <strong>of</strong> pollution. This<br />

study aims to determine the most relevant method in the evaluation <strong>of</strong> Abidjan District<br />

groundwater vulnerability to pollution in order to protect them. Application <strong>of</strong> DRASTIC<br />

and GOD methods in this study allowed evaluating intrinsic vulnerability <strong>of</strong> groundwater<br />

to pollution <strong>of</strong> Abidjan District. A comparative study starting from Kappa test and<br />

statistical analysis <strong>of</strong> surfaces, were thus carried out. Statistical analysis <strong>of</strong> different<br />

vulnerability maps to pollution reveals that vulnerability is concentrated between<br />

"moderate and high” classes with 88.37 and 88.18 percent <strong>of</strong> study area respectively for<br />

DRASTIC and GOD methods. Comparative study showed that DRASTIC and GOD<br />

methods have a moderate agreement (Kappa coefficient is 41 percent) but GOD tends to<br />

overestimate the vulnerability <strong>of</strong> an index compared to DRASTIC. Also, vulnerability map<br />

to pollution resulting from DRASTIC method was retained for the evaluation <strong>of</strong> Abidjan<br />

District groundwater vulnerability to pollution.<br />

Keywords: Evaluation, Vulnerability, groundwater Pollution, Abidjan District, Côte<br />

d'Ivoire<br />

1. Introduction<br />

La protection des eaux souterraines est une question de plus en plus préoccupante tant au niveau de<br />

l’exploitation de la ressource qu’à celui des impacts sur la santé humaine. La préservation de la qualité<br />

de l’eau souterraine est d’autant plus importante du fait que cette ressource, une fois contaminée, est<br />

difficile à être réhabilitée (Banton et Bangoy, 1997). De plus, certains contaminants peuvent persister<br />

durant des dizaines ou des centaines d’années, du fait des processus d’atténuation (adsorption,<br />

dégradation) limités en milieu aquifère (Banton et Bangoy, 1997). Le problème devient plus grave pour<br />

les pays à ressources en eau limitées comme c’est le cas du District d’Abidjan où la population est<br />

tributaire des eaux souterraines (Jourda et al., 2003). La qualité de cette eau est sans cesse menacée par<br />

les diverses sources potentielles de pollution du District d’Abidjan (Kouadio et al., 1998; Jourda et al.,<br />

2006a). L'insuffisance ou l'absence de stations d'épuration dans les zones d'activités domestiques et<br />

industrielles permet d'appréhender l'ampleur de la catastrophe qui menace les eaux souterraines (Jourda<br />

et al., 2006a; Kouamé, 2007). Ces carences font que, le plus souvent, la pollution de ces eaux est<br />

constatée après ses méfaits, c'est-à-dire après qu'elle ait migré de sa zone initiale et atteint par recharge<br />

les eaux souterraines. Etant donné les coûts importants engendrés par la restauration des aquifères<br />

contaminés, la protection des eaux souterraines du District d’Abidjan devient alors primordiale afin de<br />

sauvegarder, à moyen et à long terme, sa qualité (Jourda et al., 2006b). Une des approches d’aide à la<br />

protection et à la prévention contre la pollution des eaux souterraines est la cartographie des zones<br />

vulnérables à la pollution (Champagne et Chapuis, 1993). Cette étude a été entreprise dans le but<br />

d'identifier les zones à haut risque de contamination, indépendamment du type de polluant et de<br />

déterminer la méthode qui permet de mieux évaluer la vulnérabilité. Elle devrait en principe<br />

conditionner les plans d'occupation des sols ou, du moins, permettre de cibler les zones où des mesures<br />

rigoureuses de protection devraient être adoptées.<br />

2. Présentation de la Zone D’étude<br />

Le District d’Abidjan (Figure 1) sur lequel porte cette étude, est situé au Sud de la Côte d’Ivoire et<br />

regroupe les dix communes de la ville d’Abidjan plus trois Sous-préfectures (Bingerville, Songon et<br />

Anyama). D’une superficie de 2 119 Km 2 avec un taux de croissance de 3,7% et une densité de


774 Kouamé kan Jean, Jourda Jean Patrice, Adja Miessan Germain, Deh Serges<br />

Kouakou, Anani Abenan Tawa, Effini Adiow Thérèse and Biémi Jean<br />

population de 1 475 hbts/Km 2 , ce District regroupe une population estimée à environ 3 125 890<br />

habitants en 1998 (INS, 2001). Cette population s’est accrue aujourd’hui d’une manière considérable<br />

pour atteindre les 5 millions d’habitants en 2006 à cause de la crise socio-politique que connaît la Côte<br />

d’Ivoire depuis septembre 2002 (MPD, 2006).<br />

Figure 1: Localisation de la zone d’étude<br />

Sur le plan géologique, le District d’Abidjan appartient au bassin sédimentaire côtier d’âge<br />

Crétacé à Quaternaire ne représentant que 2,5% de la superficie du pays (Tastet, 1979; Aghui et Biémi,<br />

1984). Il s’étend sur 400 Km de long et sur 40 Km de large de Fresco (Côte d’Ivoire) à la limite du<br />

Ghana. Ce bassin contient trois niveaux aquifères d’inégale importance, dont l’aquifère du Continental<br />

Terminal est exploité pour l’alimentation en eau potable de la population abidjanaise. Le District<br />

d’Abidjan est bien arrosé avec une hauteur moyenne annuelle estimée à 1 600 mm.


Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: 775<br />

3. Matériel et Méthodes<br />

3.1. Matériel<br />

Pour l’élaboration des paramètres physiques de la nappe, les données suivantes de la zone d’étude ont<br />

été utilisées:<br />

• les cartes géologique et géotechnique de la région d’Abidjan;<br />

• les cartes topographiques;<br />

• la carte du réseau hydrographique;<br />

• les données de pluie, de température, de piézomètre et de puits;<br />

• les coupes de forage.<br />

Pour le traitement et l’élaboration des couches, les logiciels MapInfo 5.0, ArcView 3.2 et EVC<br />

ont été utilisés.<br />

Toutes les cartes utilisées sont au 1/50 000 et ont été scannées et numérisées sous MapInfo dans<br />

le système de coordonnées UTM WGS 84, zone 30, hémisphère nord.<br />

3.2. Méthodes<br />

L’évaluation de la vulnérabilité intrinsèque a été réalisée à partir de deux méthodes. Il s’agit des<br />

méthodes DRASTIC et GOD.<br />

Méthode DRASTIC<br />

La méthode DRASTIC, développée en 1987 aux Etats-Unis par l’Agence américaine de la Protection<br />

de l’Environnement (EPA), permet de cartographier les zones vulnérables à la pollution (Aller et al.,<br />

1987; Vrba et Zaporozec, 1994). C’est une méthode standardisée d’évaluation et de cartographie de la<br />

vulnérabilité des eaux souterraines indépendamment du type de polluant. Elle prend en compte la<br />

majeure partie des facteurs hydrogéologiques qui affectent et contrôlent l’écoulement des eaux<br />

souterraines (Mohamed, 2001). Elle permet de visualiser le degré relatif de vulnérabilité des eaux<br />

souterraines de la zone d’étude, car basée sur sept paramètres de vulnérabilité (Bézélgues et al., 2002).<br />

Ce sont:<br />

• la pr<strong>of</strong>ondeur de l’eau (D);<br />

• la recharge efficace (R);<br />

• les matériaux de l’aquifère (A);<br />

• le type de sol (S);<br />

• la topographie ou la pente (T);<br />

• l’impact de la zone non saturée ou zone aérée (I);<br />

• la perméabilité ou la conductivité hydraulique de l’aquifère (C).<br />

L’évaluation de la vulnérabilité par la méthode DRASTIC s’effectue par le calcul de l’Indice<br />

DRASTIC (ID) selon l’équation (1) où les indices c et p désignent respectivement la "cote"et le<br />

"poids" du paramètre.<br />

ID = Dc×<br />

Dp + Rc×<br />

Rp + Ac×<br />

Ap + Sc×<br />

Sp + Tc×<br />

Tp + Ic×<br />

Ip + Cc×<br />

Cp (1)<br />

L’indice (ID) ainsi calculé représente une mesure du niveau de risque de contamination de<br />

l’unité hydrogéologique à laquelle il se rattache. Ce risque augmente avec la valeur de l’indice. Après<br />

le calcul de l’indice (IDRASTIC), on fait correspondre des classes de vulnérabilité aux différentes plages<br />

d’indices calculés. Les classes proposées par la méthode DRASTIC sont consignées dans le table I-.


776 Kouamé kan Jean, Jourda Jean Patrice, Adja Miessan Germain, Deh Serges<br />

Kouakou, Anani Abenan Tawa, Effini Adiow Thérèse and Biémi Jean<br />

Table I: Intervalles des valeurs des ID et classes correspondantes (Aller et al., 1987)<br />

Intervalles Classe DRASTIC<br />

23 – 80 Vulnérabilité très faible<br />

80 – 100 Vulnérabilité faible<br />

100 – 140 Vulnérabilité modérée<br />

140 – 180 Vulnérabilité forte<br />

180 – 226 Vulnérabilité extrême<br />

La classification de la carte des indices en fonction des plages définies par la méthode, a permis<br />

d’élaborer la carte de vulnérabilité à la pollution des eaux souterraines du District d’Abidjan.<br />

Méthode GOD<br />

Comme la méthode DRASTIC, GOD est une méthode des systèmes paramétriques, conçue en<br />

Angleterre en 1987 par Foster. Elle utilise également une approche empirique où la vulnérabilité des<br />

aquifères est définie en fonction de l’inaccessibilité de la zone saturée, au sens de la pénétration du<br />

polluant, et de la capacité d’atténuation que présente la couche sus-jacente à la zone saturée. La<br />

méthode GOD permet de réaliser une estimation rapide de la vulnérabilité d’un aquifère (Bézelgues et<br />

al., 2002). Elle diffère de la méthode DRASTIC dans le sens où le nombre de paramètres de<br />

vulnérabilité n’est que de trois pour l’évaluation de la vulnérabilité intrinsèque des aquifères. Le<br />

premier réside dans l’identification du type d’aquifère en fonction de son degré de confinement (Ca).<br />

Le deuxième correspond à la pr<strong>of</strong>ondeur à la nappe (Cd) et le troisième est défini par la lithologie de<br />

l’aquifère (Cl) (Murat et al., 2003). L’indice GOD (IGOD) qui permet d’évaluer la vulnérabilité de<br />

l’aquifère à la pollution est obtenu par la multiplication de ces trois paramètres. L’indice GOD (IGOD)<br />

se détermine selon l’équation (2), avec C, la cote du paramètre (Murat et al., 2000):<br />

IG = Ca × Cl × Cd<br />

(2)<br />

Après le calcul de l’indice, on fait correspondre des classes de vulnérabilité aux différentes<br />

plages d’indices obtenues. D’une manière générale, les indices GOD sont répartis en cinq classes de<br />

vulnérabilité allant du "très faible" à "extrême"(Table II). Le degré de vulnérabilité augmente avec<br />

l’indice GOD.<br />

Table II: Intervalles des valeurs de IGOD et classes correspondantes (Murat et al., 2003)<br />

Intervalle Classe GOD<br />

0 – 0,1 Vulnérabilité très faible<br />

0,1 – 0,3 Vulnérabilité faible<br />

0,3 – 0,5 Vulnérabilité modérée<br />

0,5 – 0,7 Vulnérabilité forte<br />

0,7 – 1 Vulnérabilité extrême<br />

Les différentes classes des indices de vulnérabilité GOD permettent l’élaboration de la carte de<br />

vulnérabilité à la pollution des eaux souterraines au niveau du District d’Abidjan.<br />

Les cartes de vulnérabilité étant des outils importants d’aide à la prise de décision en matière de<br />

gestion d’aménagement du territoire, elles doivent refléter la réalité d’où la nécessité de leur validité.<br />

Méthode de validation des méthodes de cartographie de la de vulnérabilité à la pollution<br />

La détérioration de la qualité de l’eau souterraine est appréciée par mesures des paramètres physicochimiques<br />

et bactériologiques. Plusieurs auteurs (Isabel et al., 1990; Champagne et Chapuis, 1993;<br />

Mohamed, 2001; Jourda et al., 2003; Kouamé, 2003; Douagui, 2004; F<strong>of</strong>ana, 2005; Jourda, 2005;<br />

Jourda et al., 2005; Anani, 2006 et Jourda et al., 2006b) ont vérifié la validité des méthodes<br />

d’évaluation de la vulnérabilité à la pollution en se basant sur des données chimiques des eaux


Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: 777<br />

souterraines. Dans la validation des cartes de vulnérabilité, les zones réellement contaminées doivent<br />

correspondre à celles où les indices de vulnérabilité sont les plus élevés. Une zone vulnérable peut<br />

également avoir un faible indice de vulnérabilité du fait que la notion de vulnérabilité n’est pas<br />

synonyme d’une pollution actuelle, mais plutôt d’une prédisposition de ces zones à une contamination<br />

éventuelle, si rien n’est entrepris pour les protéger (Kouamé, 2007). La validation des cartes de<br />

vulnérabilité a porté sur l’analyse du taux de nitrates contenu dans les eaux souterraines du District<br />

d’Abidjan. Les données de nitrate utilisées couvrent que la ville d’Abidjan et datent de 2001.<br />

Une étude comparative des deux méthodes utilisées s’avère indispensable en vue de déterminer<br />

celle qui permet de mieux évaluer la vulnérabilité à la pollution des eaux souterraines du District<br />

d’Abidjan.<br />

Etude comparative des méthodes d’évaluation de la vulnérabilité<br />

Dans cette étude comparative, la méthode DRASTIC est celle qui servira de référence pour déterminer<br />

les variations d’évaluation de la vulnérabilité. Deux méthodes statistiques ont été utilisées pour faire<br />

cette comparaison:<br />

• le test de conformité (coefficient de kappa)<br />

Le coefficient de Kappa (K) représente l'indice statistique qui mesure le degré de concordance<br />

ou d’accord d'une évaluation entre deux ou plusieurs méthodes ayant à juger un même phénomène. Un<br />

guide d'interprétation, suggéré par Landis et Koch (1977), permet d’apprécier le degré d’accord en<br />

fonction de la valeur observée du coefficient Kappa.<br />

• l’analyse statistique des surfaces<br />

L’analyse statistique des surfaces permettra de savoir si la méthode GOD sous-évalue, surévalue<br />

ou évaluation identiquement la vulnérabilité par rapport à la méthode DRASTIC prise comme<br />

référence. Les données utilisées par ces méthodes de comparaison sont les deux cartes de vulnérabilité<br />

produites par les méthodes DRASTIC et GOD, et le nombre de pixels par classe de vulnérabilité.<br />

4. Résultats et Discussion<br />

L’établissement des différents paramètres et leur combinaison ont permis de réaliser les cartes de<br />

vulnérabilité à la pollution selon les deux méthodes.<br />

4.1. Carte de vulnérabilité à la pollution à partir de la méthode DRASTIC<br />

Dans le cas de la méthode DRASTIC, les valeurs des indices DRASTIC (IDRASTIC) calculés oscillent<br />

entre 113 et 192. La vulnérabilité à la pollution augmente avec l’indice obtenu. En tenant compte du<br />

fait que les valeurs limites des intervalles des indices DRASTIC sont relatives, une autre classification<br />

adaptée à l’étude a donc été effectuée. Cette autre classification permet de fixer les limites des<br />

intervalles des indices calculés et de faire correspondre des classes de vulnérabilité à ces indices. Ce fut<br />

le cas des travaux réalisés par Lynch et al. (1993), Lobo-Ferreira et al. (1995), Navalur et Engel<br />

(1997), Murat et al. (2000), Kimmeier (2001), Mohamed (2001), Murat et al. (2003), Jourda (2005) et<br />

Kouamé (2007). Les classes de vulnérabilité élaborées à partir de ces travaux en tenant compte des<br />

valeurs des IDRASTIC, varient entre "Faible” et "Très forte”, et sont résumées dans le tableau III. Une<br />

telle classification tient compte des valeurs minimum et maximum d’indices obtenus et non des classes<br />

standard définies par Aller et al. (1987).


778 Kouamé kan Jean, Jourda Jean Patrice, Adja Miessan Germain, Deh Serges<br />

Kouakou, Anani Abenan Tawa, Effini Adiow Thérèse and Biémi Jean<br />

Table III: Classification des degrés de vulnérabilité en fonction des IDRASTIC calculés<br />

Intervalles des IDRASTIC<br />

Classe de vulnérabilité<br />

IDRASTIC < 129 Vulnérabilité "Faible"<br />

130 < IDRASTIC < 149 Vulnérabilité "Moyenne"<br />

150 < IDRASTIC < 169 Vulnérabilité "Forte"<br />

IDRASTIC > 170 Vulnérabilité "Très forte"<br />

La carte issue de cette classification est illustrée à la figure 2 et indique les degrés de<br />

vulnérabilité à la pollution des eaux souterraines du District d’Abidjan.<br />

Figure 2: Carte de vulnérabilité à la pollution des eaux souterraines du District d’Abidjan à partir de la<br />

méthode DRASTIC<br />

Cette carte de vulnérabilité (Figure 2) est constituée de quatre (4) classes réparties de la manière<br />

suivante:<br />

• la classe «Faible» traduit une vulnérabilité faible à la pollution et représente 0,21% des zones<br />

cartographiées (Figure 3). Le faible indice de vulnérabilité observé peut s’expliquer par le fait que<br />

l’aquifère possède dans cette partie l’argile-sableuse comme zone vadose.<br />

• la classe «Moyenne» se rencontre à l’Ouest, au Sud-Ouest, au Sud et dans une partie de l’Est de la<br />

zone d’étude. Elle garantit une pollution moins sévère et représente 47,33% de la zone d’étude. Le<br />

degré de vulnérabilité moyen, peut s’expliquer par le fait que la zone vadose est constituée en<br />

majorité de couche sablo-argileuse et cette couche est associée à une conductivité hydraulique<br />

moyenne (29 – 41 m/j) et à une recharge annuelle moyenne oscillant entre 110 et 480 mm/an dans<br />

cette partie;


Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: 779<br />

Figure 3: Répartition spatiale des degrés de vulnérabilité à la pollution selon DRASTIC<br />

• la classe «Forte» occupe l’Est, le Nord-Est et le Centre du District d’Abidjan. Elle représente une<br />

proportion moins importante que la classe précédente soit 41,04%. Le degré fort de vulnérabilité<br />

peut s’expliquer par le fait que la conductivité hydraulique est élevée (41-81 m/j) et la recharge<br />

annuelle est aussi forte (480 à 760 mm/an);<br />

• la classe «Très forte» se rencontre plus au Sud de la zone d’étude. Toute la zone sud d’Abidjan<br />

(Treichville, Marcory, Koumassi, Port-Bouët) est concernée par cette classe. L’indice très fort de<br />

vulnérabilité peut être dû au type d’aquifère (sable grossier) associé à une infiltration importante<br />

(760–850 mm/an), à une conductivité hydraulique élevée (49–56 m/j) et à une faible pr<strong>of</strong>ondeur de<br />

la nappe (1-11 m). Tous ces paramètres rendent les eaux souterraines très vulnérables dans cette<br />

partie du District d’Abidjan. La progression de cette classe vers le Centre de la zone d’étude est<br />

aussi remarquable dans le cas d’une contamination.<br />

4.2. Carte de vulnérabilité à la pollution à partir de la méthode GOD<br />

Pour la méthode GOD, l’indice de vulnérabilité (IGOD) calculé s’échelonne de 0,14 à 0,29. Les valeurs<br />

extrêmes des indices GOD sont 0 et 1. Le processus de classification de la carte des indices en fonction<br />

des classes de vulnérabilité est le même que celui décrit au niveau de la méthode DRASTIC. La<br />

classification adoptée dans cette étude tient compte des indices GOD obtenus. Ainsi, les plages de<br />

vulnérabilité élaborées à partir des indices GOD varient du "Faible" au "Très forte" et sont résumé dans<br />

le tableau IV. La carte issue de cette classification est illustrée à la figure 4.<br />

Table IV: Classification des degrés de vulnérabilité en fonction des IGOD calculés<br />

Intervalles des IGOD<br />

Classe de vulnérabilité<br />

IGOD < 0,15 Vulnérabilité "Faible"<br />

0,15 < IGOD < 0,20 Vulnérabilité "Moyenne"<br />

0,20 < IGOD < 0,25 Vulnérabilité "Forte"<br />

IGOD > 0,25 Vulnérabilité "Très forte"


780 Kouamé kan Jean, Jourda Jean Patrice, Adja Miessan Germain, Deh Serges<br />

Kouakou, Anani Abenan Tawa, Effini Adiow Thérèse and Biémi Jean<br />

Figure 4: Carte de vulnérabilité à la pollution des eaux souterraines du District d’Abidjan à partir de la<br />

méthode GOD<br />

L’analyse de cette carte de vulnérabilité (Figure 4) révèle quatre degrés de vulnérabilité. Ces<br />

degrés constituent les quatre classes qui se présentent de la manière suivante:<br />

• la classe «Faible» est représentée par un espace localisé à Abobo et occupe 0,29% des zones<br />

cartographiées (Figure 5). Elle traduit une vulnérabilité faible à la pollution. Le faible indice de<br />

vulnérabilité observé peut s’expliquer par le fait que, de l’argile sableuse est présente dans cette<br />

partie de l’aquifère.<br />

Figure 5: Répartition spatiale des degrés de vulnérabilité à la pollution selon GOD<br />

• la classe «Moyenne» se rencontre à l’Ouest, au Sud-Ouest, au Centre, à l’Est et au Nord-Est et<br />

représente 66,21% de la zone d’étude. Elle garantit une pollution moins sévère dans le cas d’une<br />

contamination. Le degré de vulnérabilité moyen, peut être lié à la pr<strong>of</strong>ondeur moyenne de la nappe<br />

dans ces zones (entre 20 et 60 m);


Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: 781<br />

• la classe «Forte» occupe une partie du Nord et du Centre de la zone d’étude. Elle représente une<br />

proportion moins importante que la classe précédente soit 21,97%. Le degré fort de vulnérabilité<br />

peut s’expliquer par le fait que les eaux se trouvent à une faible pr<strong>of</strong>ondeur (entre 10 et 20 m);<br />

• la classe «Très forte» se rencontre plus au Sud de la zone d’étude. Elle progresse vers le Centre<br />

d’Abidjan et représente 11,53% de la zone d’étude. L’indice très fort de vulnérabilité peut être dû à<br />

la localisation des eaux à une pr<strong>of</strong>ondeur très faible (entre 2 et 5 m). Tous les autres paramètres<br />

sont presque égaux en terme de vulnérabilité à la pollution des eaux souterraines du District<br />

d’Abidjan.<br />

Les cartes de vulnérabilité obtenues par les méthodes DRASTIC et GOD ont révélé que le Sud<br />

de la zone d’étude est plus vulnérable. Cette vulnérabilité progresse du Sud vers le Nord. Les cartes de<br />

vulnérabilité à la pollution sont des outils d’aide à décision et leur validation par des paramètres<br />

n’ayant pas servi à leur réalisation s’avère nécessaire.<br />

Validation des cartes de vulnérabilité à la pollution<br />

Les taux de nitrates contenus dans les eaux souterraines sont compris entre 3 et 100 mg/L. La carte<br />

issue de ces données (Figure 6) montre une répartition spatiale de la concentration de nitrate au niveau<br />

d’Abidjan.<br />

Figure 6: Carte de la répartition spatiale de la concentration en nitrates en 2001<br />

Elle révèle que toute la partie sud d’Abidjan a un taux de nitrates supérieur à 50 mg/L. Cette<br />

forte concentration en nitrates (> 50 mg/L) est aussi observée dans les communes du Plateau,<br />

Attécoubé, Adjamé et une partie des communes de Yopougon, Abobo et Cocody. Nous pouvons<br />

déduire de cette observation que la pollution progresse dans le sens sud-nord avec un nouveau pôle de<br />

pollution à l’Ouest.


782 Kouamé kan Jean, Jourda Jean Patrice, Adja Miessan Germain, Deh Serges<br />

Kouakou, Anani Abenan Tawa, Effini Adiow Thérèse and Biémi Jean<br />

Les cartes de vulnérabilité produites par les deux méthodes ont montré qu’on assiste à une<br />

progression de la vulnérabilité du Sud au Nord. Les zones à fort taux de nitrates (> 50 mg/L),<br />

progressant également du Sud vers le Nord, se superposent aux zones de très forte à forte vulnérabilité<br />

à la pollution. La superposition de ces deux types de zones (vulnérabilité forte et taux de nitrate élevé)<br />

permet de dire que la carte établie par ces méthodes reflète la réalité du terrain. Cette analyse ne permet<br />

pas de déceler la méthode la plus efficace dans l’évaluation de la vulnérabilité à la pollution des eaux<br />

souterraines du District d’Abidjan, d’où l’intérêt de l’étude comparative.<br />

4.3. Comparaison des méthodes d’évaluation de la vulnérabilité<br />

Pour faciliter la comparaison des méthodes, le nombre de pixels obtenu par classe et par méthode est<br />

consigné dans le tableau V. Les pixels par classe sont les éléments de base utilisés par les 2 méthodes<br />

de comparaison: test de kappa et. analyse statistique de surface.<br />

Table V: Répartition des nombres de pixels par classe et par méthode<br />

Drastic God<br />

Faible 151 207<br />

Moyenne 34 283 47 965<br />

Forte 29 733 15 919<br />

Très forte 8 273 8 349<br />

Total 72 440 72 440<br />

Test de Kappa<br />

Le coefficient Kappa (K) a été calculé à partir des nombres de pixels des différentes classes et de la<br />

formule de Cohen (1970) (Tableau VI).<br />

Table VI: Matrice des résultats de proportion d’accord Ho et du coefficient Kappa<br />

Drastic God<br />

Ho Coefficient K Ho Coefficient K<br />

Drastic 1 1<br />

God 0,650 0,418 1 1<br />

Le calcul du coefficient de Kappa révèle que le test de Kappa est fiable puisque la valeur du<br />

coefficient de Kappa (K) est positive donc interprétable. Le coefficient K vaut 0,418 et selon le guide<br />

établi par Landis et Koch (1977), il s’agit d’un degré d’accord "modéré" entre ces deux méthodes. En<br />

faisant référence à l’indice Ho (proportion évaluée avec le même indice de vulnérabilité), l’accord est<br />

bon avec Ho égal à 0,650. Nous pouvons donc noter qu’il y’a une concordance «acceptable»<br />

d’évaluation de la vulnérabilité à la pollution entre les méthodes GOD et DRASTIC. Cette<br />

concordance peut s’explique par le fait que ces deux méthodes évaluent la vulnérabilité intrinsèque,<br />

c'est-à-dire que les paramètres utilisées par ces méthodes sont directement liés à la nappe.<br />

Pour connaître la méthode qui évalue le mieux la vulnérabilité, le seul test de Kappa ne suffit<br />

pas, il faut aussi une analyse statistique des surfaces cartographiées par les méthodes pour pouvoir se<br />

prononcer.<br />

Analyse statistique des surfaces cartographiées<br />

Afin de comparer les cartes de la vulnérabilité à la pollution résultant des deux méthodes, quatre<br />

classes identiques de vulnérabilité ont été choisies. En outre, la surface occupée par chaque classe a été<br />

calculée et transformée en pourcentage (Tableau VII).


Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: 783<br />

Table VII: Pourcentage des surfaces selon le degré de vulnérabilité par les méthodes DRASTIC et GOD<br />

Classes de vulnérabilité Drastic God<br />

Faible 0,21% 0,29%<br />

Moyenne 47,33% 66,21%<br />

Forte 41,04ù 21,97%<br />

Très forte 11,42% 11,53%<br />

Total 100%<br />

De l’analyse du tableau VII, nous tirons les remarques suivantes:<br />

• la vulnérabilité par la méthode DRASTIC est concentrée entre les classes « moyenne » et «<br />

forte » (88,37%) avec 47,33% pour la classe « moyenne » et 41,04% pour la « forte »;<br />

• la méthode GOD aussi a la vulnérabilité concentrée entre les classes « moyenne » et « forte<br />

» (88,18%) avec 66,21% pour la classe « moyenne » et 21,97% pour la « forte »;<br />

Les méthodes DRASTIC et GOD ont évalué une vulnérabilité concentrée entre les classes «<br />

moyenne » et « forte »; mais, la méthode DRASTIC est plus concentrée sur la classe « forte » avec<br />

41,04% que la méthode GOD (21,97%). Le tableau VII révèle néanmoins que la classe « faible » est<br />

peu représentée par les méthodes DRASTIC (0,21%) et GOD (0,29%).<br />

Le résultat du croisement (soustraction entre les indices de vulnérabilité) des deux cartes de<br />

vulnérabilité est résumé à la figure 7. L’analyse de cette figure indique que les classes 3 et 2 ont un<br />

pourcentage nul et la différence d’indice « 0 » regroupe la proportion la plus importante (65%). Les<br />

méthodes DRASTIC et GOD présentent donc un équilibre sur les 2/3 de la zone d’étude car les indices<br />

de vulnérabilité sont identiques sur ces zones. Elles représentent 65% de la zone d’étude. Il y a donc<br />

une parfaite association entre ces méthodes, confirmée par la valeur de H0 (65%) obtenue par le test de<br />

kappa.<br />

Figure 7: Histogramme de la variation d’indice entre DRASTIC et GOD<br />

Bien que 65% de la zone d’étude soient évalués avec des indices identiques, il y a tout de même<br />

quelques variations. Les variations d’indices se situent entre une sous-évaluation (8%) et une surévaluation<br />

(27%) d’un indice de la méthode DRASTIC par rapport à la méthode GOD. La tendance de<br />

la sur ou sous-évaluation de la vulnérabilité par la méthode DRASTIC n’est pas très importante car ces<br />

deux méthodes n’utilisent que des paramètres intrinsèques. Les deux cartes de vulnérabilité sont donc<br />

presque semblables. Il y a alors une parfaite association entre les méthodes DRASTIC et GOD malgré<br />

ces quelques différences d’un indice. L’association entre ces méthodes a été confirmée par Murat


784 Kouamé kan Jean, Jourda Jean Patrice, Adja Miessan Germain, Deh Serges<br />

Kouakou, Anani Abenan Tawa, Effini Adiow Thérèse and Biémi Jean<br />

(2000), Kimmeier (2001), F<strong>of</strong>ana (2005) et Anani (2006). Au regard des résultats de l’étude<br />

comparative, nous retenons que la méthode DRASTIC est la mieux indiquée dans la cartographie de la<br />

vulnérabilité à la pollution des eaux souterraines du District d’Abidjan.<br />

5. Conclusion<br />

L’application des méthodes DRASTIC et GOD a permis d’évaluer la vulnérabilité intrinsèque à la<br />

pollution des eaux souterraines du District d’Abidjan. L’analyse des différentes cartes de vulnérabilité<br />

à la pollution a montré que la vulnérabilité par les méthodes DRASTIC et GOD est concentrée entre<br />

les classes moyenne et forte. La comparaison des cartes de vulnérabilité à partir du test de Kappa a<br />

montré qu’il existe un accord modéré entre ces méthodes (le coefficient Kappa vaut 0,418). L’analyse<br />

des fréquences de surface des cartes de vulnérabilité a révélé que les méthodes (DRASTIC et GOD)<br />

ont un parfait accord (65%), mais la méthode GOD a tendance à sur-évaluer la vulnérabilité d’un<br />

indice par rapport à DRASTIC.<br />

La carte de vulnérabilité établie par les deux méthodes a été validée avec la carte de répartition<br />

spatiale du taux de nitrates de 2001. En effet, les deux méthodes utilisées ont montré qu’on assiste à<br />

une progression de la vulnérabilité du Sud vers le Nord. Les zones à fort taux de nitrates (> 50 mg/L)<br />

progressant également dans le même sens se superposent parfaitement aux zones de très forte à forte<br />

vulnérabilité. La superposition de ces deux types de zones (vulnérabilité forte et taux de nitrates élevé)<br />

permet de dire que la carte établie par ces méthodes reflète la réalité du terrain. Mais la carte de<br />

vulnérabilité réalisée à partir de la méthode DRASTIC reflète le mieux la réalité de la pollution des<br />

eaux souterraines du District d’Abidjan


Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: 785<br />

References<br />

[1] Aghui N. et Biémi J. (1984). Géologie et hydrogéologie des nappes de la région d’Abidjan et<br />

risques de contamination. Annales de l’Université Nationale de Côte d’Ivoire, série c tome 20,<br />

pp.331-347.<br />

[2] Aller L., Bennett T., Lehr J.H., Petty R. J. et Hackett G. (1987). DRASTIC: A standardised<br />

system for evaluating ground water pollution potential using hydrogeologic settings. EPA, Ada,<br />

Oklahoma, 622 p.<br />

[3] Anani A. T. épse Kouakou (2006). Evaluation et cartographie des zones vulnérables à la<br />

pollution des eaux souterraines au niveau du District d’Abidjan (Sud de la Côte d’Ivoire) par<br />

les méthodes DRASTIC et GOD. Mémoire de DEA, Université de Cocody, 71 p.<br />

[4] Banton O. et Bangoy L. (1997). Hydrogéologie: Multiscience environnementale des eaux<br />

souterraines. Presse de l’Université du Québec, AUPELF, pp. 375 – 389<br />

[5] Bézelgues S., Des Garets E., Mardhel V. et Dörfliger N. (2002). Cartographie de la<br />

vulnérabilité de Grand-Terre et de Marie-Galatie (Guadeloupe). Phase 1: méthodologie de<br />

détermination de la vulnérabilité, 45 p.<br />

[6] Champagne L. et Chapuis R. P. (1993). Évaluation de la vulnérabilité à la pollution des<br />

formations aquifères de la MRC de Montcalm selon la méthode Drastic. Rev. Sc. Tech. Eau;<br />

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<strong>of</strong> the Abidjan aquifer by sewage: An assessment <strong>of</strong> extent and strategies for protection. In:


786 Kouamé kan Jean, Jourda Jean Patrice, Adja Miessan Germain, Deh Serges<br />

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(2006b). A new cartographic approach to determine the groundwater vulnerability <strong>of</strong> the<br />

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103-114, Taylor & Francis/Balkema, Great-Britain<br />

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presented to the faculty <strong>of</strong> sciences <strong>of</strong> the Neuchâtel University, 223 p.<br />

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pollution urbaine sur la distribution d’eau d’alimentation publique à Abidjan. Dans: Cahiers de<br />

l’Association Scientifique Européenne pour l’Eau et la Santé, vol.3, n°1, pp. 61 – 75.<br />

[20] Kouamé K. J. (2003). Apports d’un système d’information géographique à la réalisation de la<br />

carte de vulnérabilité de la nappe du Continental terminal au niveau de l’agglomération<br />

d’Abidjan. Mémoire de DEA des Sciences de la Terre option hydrogéologie, Université de<br />

Cocody, 63 p.<br />

[21] Kouamé K. J. (2007). Contribution à la Gestion Intégrée des Ressources en Eaux (GIRE) du<br />

District d’Abidjan (Sud de la Côte d’Ivoire): Outils d’aide à la décision pour la prévention et la<br />

protection des eaux souterraines contre la pollution. Thèse de Doctorat de l’Université de<br />

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mapping: Application to the Minho watershed in Northern Portugal’s Celtic Region.<br />

Laboratorio Nacional de Engenharia Civil, Lisbon, Portugal, 7 p.<br />

[24] Lynch S. D., Reynders A. G. et Schulz R. (1993). Preparing input data for a national-scale<br />

groundwater vulnerability map <strong>of</strong> Southern Africa in 6 th National Hydrological Symposium,<br />

SANCIAHS, September 1993 and water S.A. (1994) 20, pp. 239 – 246.<br />

[25] Ministère du Plan et du Développement (MPD) (2006). Rapport national de l’Etat et le<br />

devenir de la population de la Côte d’Ivoire (REPCI). Population et développement: défis et<br />

perspectives pour la Côte d’Ivoire. UNFPA, août 2006.<br />

[26] Mohamed R. M. (2001). Evaluation et cartographie de la vulnérabilité à la pollution de<br />

l’aquifère alluvionnaire de la plaine d’El Madher, Nord-Est algérien, selon la méthode<br />

DRASTIC. Sciences et changement planétaires / sécheresse, vol. 12, n°2, pp. 95-101.<br />

[27] Murat V. (2000). Etude comparative des méthodes d’évaluation de la vulnérabilité intrinsèque<br />

des aquifères à la pollution: Application aux aquifères granulaires du Piémont LAURENTIEN.<br />

Mémoire de maîtrise, INRS – Géosciences, Québec, 127 p.<br />

[28] Murat V., Martel R., Michaud Y. et Therrien R. (2000). Etude comparative des méthodes<br />

d’évaluation de la vulnérabilité des aquifères à la pollution: Application aux aquifères<br />

granulaires du Piémont LAURENTIEN, Québec, AIH-CNC et SCG, pp. 411-418.<br />

[29] Murat V., Paradis D., Savard M. M., Nastev M., Bourque E., Hamel A., Lefebvre R. et<br />

Martel R. (2003). Vulnérabilité à la nappe des aquifères fracturés du sud-ouest du Québec:<br />

Evaluation par les méthodes DRASTIC et GOD. Ressources naturelles Canada, Commission<br />

Géologique, 16 p.<br />

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Indiana State Aquifer system to nitrate leaching using a GIS. 18 p.<br />

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Golfe de guinée (Côte d’Ivoire, Togo, Bénin). Thèse de Doctorat d’Etat ès sciences, Université<br />

de Bordeaux 1, 181 p.


Etude Comparative des Méthodes D’évaluation de la Vulnérabilité à la<br />

Pollution des Aquifères en Milieu Poreux: 787<br />

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International association <strong>of</strong> hydrgeologists, vol.16, 131 p.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.788-795<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Development <strong>of</strong> an Integrated Poultry/Fishery Husbandry for<br />

Optimal Agricultural Production<br />

F.R. Falayi<br />

Agricultural Engineering Department, The Federal University <strong>of</strong> Technology<br />

P.M.B. 704, Akure, Ondo State, Nigeria<br />

A.S. Ogunlowo<br />

Agricultural Engineering Department, The Federal University <strong>of</strong> Technology<br />

P.M.B. 704, Akure, Ondo State, Nigeria<br />

M.O. Alatise<br />

Agricultural Engineering Department, The Federal University <strong>of</strong> Technology<br />

P.M.B. 704, Akure, Ondo State, Nigeria<br />

Abstract<br />

The need to find alternative but productive means <strong>of</strong> managing animal waste in the<br />

modern day agriculture waste cannot be over emphasised. One important means <strong>of</strong><br />

managing these wastes is through conversion to important use either as animal feeds or as<br />

manures.<br />

An integrated poultry/fishery housing unit was designed and constructed such that<br />

poultry droppings were made to drop into the ponds directly and used as feed for clarias<br />

gariepinus. The set-up was made <strong>of</strong> four concrete ponds on which three wooden battery<br />

cages were mounted except the fourth pond which served as the control. The ponds were<br />

stocked with twenty (20) juvenile clarias garipinus each. Fish in pond 1, two and three were<br />

fed with droppings from one broiler, two broilers and three broilers respectively. While fish<br />

in ponds 4 were fed with the fish concentrate. A total <strong>of</strong> 6 birds (4 weeks old) and 80<br />

juvenile clarias gariepinus were used. This experiment lasted for 6 months. During this<br />

period <strong>of</strong> study, the environmental parameters were monitored and the effect <strong>of</strong> poultry<br />

waste on the development <strong>of</strong> the fish was analysed.<br />

There was an increase in weight <strong>of</strong> the fish in all ponds through out the period <strong>of</strong><br />

the study. The weight gained by the fish in pond 1 increased at an increasing rate <strong>of</strong> 10.85<br />

g/week up to the 15 th week after stocking. Thereafter, the weight gained started increasing<br />

at a constant rate <strong>of</strong> 86.8g/week up to the 20 th week after stocking and thereafter a weight<br />

increase at a deceasing rate <strong>of</strong> 136.56 g/week up to harvest period. In pond 2, the weight <strong>of</strong><br />

the fish increased at an increasing rate <strong>of</strong> 7.47 g/week up to 8 th week. Thereafter, the<br />

weight gain increased at a constant rate <strong>of</strong> 24.88 g/week to 16 th week and increasing at a<br />

decreasing rate <strong>of</strong> 42.75 g/week to harvest. The same trend was observed in pond 3 but the<br />

weight gain increased at an increasing rate <strong>of</strong> 8.06 g/week up to the 4 th week and then<br />

increasing at a constant rate <strong>of</strong> 10.89 g/week to the 16 th week. Thereafter, there was weight<br />

increase at a decreasing rate <strong>of</strong> 32.36 g/week to harvest. Pond 4, which was the control,<br />

showed a different trend in the development <strong>of</strong> the fish, in this case, there was a weight<br />

gain at an increasing rate <strong>of</strong> 12.90 g up to the 18 th week after stocking. Thereafter there was<br />

a weight gain at a decreasing rate <strong>of</strong> 147.22 g/week up to harvest period.


Development <strong>of</strong> an Interated Poultry/Fishery Husbandry for Optimal Agricultural Production 789<br />

Keywords: Integrated, fishery, poultry, droppings, pond<br />

Introduction<br />

In many parts <strong>of</strong> the world, fish have provided an important part <strong>of</strong> people’s diet for centuries. The<br />

increasing per capita consumption <strong>of</strong> fish is partially due to consumer demand for healthy diet and the<br />

growing recognition that the fatty acid content <strong>of</strong> fish provides health benefit to man. The growth rate<br />

<strong>of</strong> the world’s human population has called for increased harvest <strong>of</strong> fish and fisheries products from<br />

marine and inland waters (Woynarovich 1979). Chandrasoma (1988) observed that during the last<br />

hundred years, fish catches have increased rapidly due to improved technologies. Despite the fact that<br />

growth in fish catches stopped some 15 years ago, over fishing had already caused the worldwide<br />

decrease in stock to become a real problem. The need to increase fish production by fish farming is<br />

urgent. Fish farming is an agricultural activity that can deeply improve the already existing farming<br />

system. As in agriculture, fish farming techniques include the removal <strong>of</strong> unwanted plants and animals,<br />

their replacement by desirable species, the improvement <strong>of</strong> these species by crossbreeding and<br />

selection, and the improvement <strong>of</strong> food availability by the use <strong>of</strong> fertilizer. Fish farming can benefit<br />

from agricultural by-products generated by other activities, as these activities can be used to increase<br />

the quality <strong>of</strong> plankton, that is, the natural food <strong>of</strong> fish (Chakrabarty and Hettiarachchi 1982). Fish<br />

farming can be combined with poultry, animal husbandry and irrigation practices, which can lead to<br />

higher production and net pr<strong>of</strong>its. This practice is called integrated fish farming or integrated<br />

aquaculture. The integration <strong>of</strong> animal husbandry, especially poultry, with fish farming in a small scale<br />

results in the production <strong>of</strong> organic manure for the fertilization <strong>of</strong> the fish pond to increase the<br />

production <strong>of</strong> the natural food organism (planktonic algae) to be eaten by the fish. In some cases, the<br />

poultry wastes are used as direct food by some fish without supplementary feedings, such species<br />

include Nile Tilapia (FAO, 1996).<br />

There are various methods <strong>of</strong> integrating poultry with fish farming. Some designs give room for<br />

the poultry house to be sited on a land near the pond and the poultry waste/ manure is transferred into<br />

the pond manually. While another design sites the poultry directly on the pond. Literature regarding<br />

poultry/fish integration generally relates to battery or deep litter in which the birds are typically fed on<br />

complete diets in pelleted or mash form and the manure used as feed (Little and Muir, 1987). Manure<br />

is packed into the pond to fertilize it for the fish to feed. Not all fish are carnivores; therefore, not all<br />

can feed on manure. The herbivores rather pick waste supplemental feeds from the birds’ meal only.<br />

Integrated fish farming is regarded by aquaculturists <strong>of</strong> most countries as a model farming system for<br />

full utilization <strong>of</strong> local resources, for waste recycling and energy saving, and for maintaining ecological<br />

balance and circulation. Besides increasing the supply <strong>of</strong> fish, meat and eggs, and employment<br />

opportunities, it also reduces the cost <strong>of</strong> fish production through utilization <strong>of</strong> local farm products as<br />

fish feeds and fertilizers and reorganization <strong>of</strong> farm labour for effective output (De Silva 1991).<br />

Although this technology is highly productive in certain regions in China and parts <strong>of</strong> Asia,<br />

Sharma 1981, reported that it is now recognized that large-scale technology transfer to most other<br />

regions, both inside and outside China, is dependent on a clearer scientific understanding <strong>of</strong> the<br />

physical, chemical and biological processes involved.<br />

In developing countries like Nigeria, many are not informed about integrated fish farming and<br />

its attendant benefits. There is virtually no reliable data concerning the feasibility and adoption <strong>of</strong> the<br />

system. Adesulu (2001) stated that integrated fish farming is not a common practise in Nigeria. Thus<br />

this study was carried out in order to intensify our efforts on integrated agricultural production.<br />

2. Methodology<br />

Model poultry housing unit and concrete fishponds were designed and constructed using locally<br />

available materials. Three wooden battery cages were mounted on the fish ponds. The set-up was made


790 F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

<strong>of</strong> four concrete ponds on which three wooden battery cages were mounted except the fourth pond<br />

which served as the control. The ponds were stocked with twenty (20) juvenile clarias garipinus each.<br />

Fish in pond 1, 2 and 3 were fed with droppings from one broiler, two broilers and three broilers<br />

respectively. While fish in ponds 4 were fed with the fish concentrate as shown in table 1.<br />

A total <strong>of</strong> 6 birds (4 weeks old) and 80 juvenile clarias garipinus were used. This experiment<br />

lasted for 6 months. During this period, the environmental parameters were monitored and the effect <strong>of</strong><br />

poultry waste on the fish development was noticed. Data collected were subjected to appropriate<br />

statistical analysis.<br />

2.1. Measurements<br />

Bird’s development was determined by measuring the feed consumed and the weight gained on weekly<br />

basis. Grower’s mash was used to feed the broiler chickens throughout the period <strong>of</strong> the experiment<br />

while fish weight and numbers <strong>of</strong> fish in the ponds were measured every two weeks. Fish were<br />

harvested at the end <strong>of</strong> sixth month and the weight and number <strong>of</strong> fish harvested were also recorded.<br />

2.2. Integrated Poultry Housing Husbandry Description<br />

The pond was designed mainly to give an enabling aquacultural environment for catfish. The pond was<br />

made <strong>of</strong> hollow block <strong>of</strong> 150mm (6 inches). The pond was constructed on simple strip concrete<br />

foundation and was divided into three cells <strong>of</strong> 1m each for different treatments. The wall was<br />

adequately plastered with appropriate mixture <strong>of</strong> cement, sand and water and adequate precaution<br />

against under cuts by water. One important characteristic <strong>of</strong> a modern fishpond is that it must be<br />

drainable; this means that it should be possible to empty the pond down to the last drop <strong>of</strong> water hence<br />

the floor <strong>of</strong> the pond was constructed at a slope <strong>of</strong> 0.2 for proper drainage.The ponds were supplied<br />

with well water and drained through gate valves <strong>of</strong> 37mm (1 ½ inches).<br />

The poultry-housing unit was designed to give appropriate ventilation system for good<br />

performance <strong>of</strong> the birds. The floor dimension was 4.50m by 2.54m and total height <strong>of</strong> the building<br />

was 3.14m. The poultry-housing unit was constructed using timber and steel, which are readily<br />

available materials with good strength and minimum cost. The ro<strong>of</strong> was made <strong>of</strong> galvanized corrugated<br />

ro<strong>of</strong>ing sheet. The cage was constructed using wood and wire mesh for the cage floor. The height <strong>of</strong><br />

the cage was 0.47m, length <strong>of</strong> 0.5m and width <strong>of</strong> 0.4m. The complete housing unit is as shown in plate<br />

1<br />

Table 1: Feeding Table for Catfish Grow-out<br />

Average weight (grams) Feeding level (%body weight) Pellet size (mm)<br />

5-10 5.5-6.0 2.0<br />

10-25 4.5-5.5 2.0<br />

25-70 4.0-4.5 3.0<br />

100-250 3.0-4.0 4.5<br />

500-750 1.5-2.0 4.5<br />

750-1000 1.1-1.5 4.5 or 6.0<br />

1000-1250 0.9-1.1 4.5 or 6.0<br />

1250-1500 0.8-1.0 4.5 or 6.0<br />

1500-2000 0.7-0.9 4.5 or 6.0


Development <strong>of</strong> an Interated Poultry/Fishery Husbandry for Optimal Agricultural Production 791<br />

3.0. Results and Discussion<br />

3.1. Fish Development<br />

Plate 1: Experimental set up <strong>of</strong> the integrated unit<br />

The general development <strong>of</strong> the fish in the various ponds is as shown in Fig. 1. There was an increase<br />

in weight <strong>of</strong> the fish through out the period <strong>of</strong> study. It could be observed from the graph that the<br />

weight gained by the fish in pond 1 increased at an increasing rate <strong>of</strong> 10.85 g/week up to the 15 th week<br />

after stocking. Thereafter, the weight gained started increasing at a constant rate <strong>of</strong> 86.8g/week up to<br />

the 20 th week after stocking and then there was weight increase at a deceasing rate <strong>of</strong> 136.56 g/week up<br />

to harvest period as shown in Fig. 2. In pond 2, the weight <strong>of</strong> the fish started increasing at an increasing<br />

rate <strong>of</strong> 7.47 g/week up to 8 th week. Thereafter, the weight gain was increasing at a constant rate <strong>of</strong><br />

24.88 g/week to 16 th week and increasing at a decreasing rate <strong>of</strong> 42.75 g/week to harvest. The same<br />

trend was observed in pond 3 but the weight gain increased at an increasing rate <strong>of</strong> 8.06 g/week up to<br />

the 4 th week and increasing at a constant rate <strong>of</strong> 10.89 g/week to the 16 th week. Thereafter, there was<br />

weight increase at a decreasing rate <strong>of</strong> 32.36 g/week to harvest. Pond 4 which was the control showed a<br />

different trend in the development <strong>of</strong> the fish, there was a weight gain at an increasing rate <strong>of</strong> 12.90 g<br />

up to the 18 th week after stocking. Thereafter there was a weight gain at a decreasing rate <strong>of</strong> 147.22<br />

g/week to harvest period as shown in Fig.2.<br />

However an analysis <strong>of</strong> the variance <strong>of</strong> the collected data showed that there was no significant<br />

difference in the weight <strong>of</strong> the fish in the various ponds up to 6 th week after stocking as shown in table<br />

2 (Fcritical>Fcalculated at 0.05 level). However as from the 6 th week to the 24 th week, there was a significant<br />

difference in the weight <strong>of</strong> the fish in the various ponds (Fcritical


792 F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

stocking. It is obvious from fig 1 that the fish in pond 1 fed with droppings from only one bird<br />

compared favourably with pond 4 which was the control. This was followed by the fish in pond 2 fed<br />

from droppings <strong>of</strong> two birds and lastly the fish in pond 3 fed with droppings <strong>of</strong> three birds.<br />

A regression analysis was carried out to predict the weight <strong>of</strong> fish in the various ponds when<br />

compared with the control pond. The regression <strong>of</strong> pond 1 on pond 4 is as shown in fig.3 which<br />

showed a high correlation (R 2 =0.9985) and polynomial <strong>of</strong> the third degree best described the<br />

relationship ie y = 3E-07x 3 - 0.001x 2 + 1.2585x - 20.261. A regression <strong>of</strong> pond 2 on pond4 (Fig. 4)<br />

showed an equation y = 2E-07x 3 - 0.0007x 2 + 0.8721x - 7.1101 with a correlation <strong>of</strong> 0.99(R 2 =. 0.99)<br />

while the regression <strong>of</strong> pond 3 on pond 4 was fitted with the polynomial equation y = 1E-07x 3 -<br />

0.0005x 2 + 0.6725x + 1.8387 with high correlation (R 2 = 0.9988) as shown in Fig 5. Mortality rate <strong>of</strong><br />

20% was recorded in pond3 during the experiment. However, no mortality rate was recorded for pond<br />

2 and pond 1. The experiment did not allow for sorting <strong>of</strong> the fish as development progressed hence<br />

slight cannibalism <strong>of</strong> less than 5% was recorded in all the ponds<br />

Figure 1: Average Weight <strong>of</strong> Fish Against Weeks after Stocking<br />

Figure 2: Comparison <strong>of</strong> the Growth Fish Rate/week in the Various Ponds


Development <strong>of</strong> an Interated Poultry/Fishery Husbandry for Optimal Agricultural Production 793<br />

Figure 3: Regression <strong>of</strong> pond1 on control pond<br />

Figure 4: Regression <strong>of</strong> pond2 on control pond<br />

Figure 5: Regression pf pond3 on control pond


794 F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

Table 2: ANOVA <strong>of</strong> Fish Developments in the 6 th Week after Stocking<br />

Source <strong>of</strong> Variation SS df MS F P-value F crit<br />

Between Groups 353.6875 3 117.8958 0.429721 0.73546 3.4903<br />

Within Groups 3292.25 12 274.3542<br />

Total 3645.938 15<br />

Table 3: ANOVA <strong>of</strong> Fish Development 24 Weeks after Stocking<br />

Source <strong>of</strong> Variation SS df MS F P-value F crit<br />

Between Groups 789956.4 3 263318.8 6.280948 0.000633 2.703594<br />

Within Groups 3856954 92 41923.42<br />

Total 4646911 95<br />

3.2. Development <strong>of</strong> the Birds<br />

The birds recorded an increasing weight gain throughout the period <strong>of</strong> the study. The average weight<br />

during stocking to the end <strong>of</strong> the study varied from 0.7kg to about 9kg. There was no significant<br />

difference at 5% level in the average weight <strong>of</strong> the birds in the various cages as shown in Fig.6 and this<br />

implied that the development <strong>of</strong> birds in the cages was equal throughout the period <strong>of</strong> the study. Zero<br />

mortality was recorded throughout the period <strong>of</strong> study and this confirmed that the environmental<br />

conditions <strong>of</strong> the housing unit were suitable for poultry production<br />

Figure 6: Relationship between the average weight <strong>of</strong> birds in different cages and weeks after Stocking<br />

10000<br />

9000<br />

8000<br />

7000<br />

6000<br />

5000<br />

4000<br />

3000<br />

2000<br />

1000<br />

0<br />

cage1<br />

cage2<br />

cage3<br />

0 2 4 6 8 12 14 16 18 20 22 24<br />

Weeks af ter stocking<br />

Conclusions<br />

A relatively new technology <strong>of</strong> vertical integration <strong>of</strong> poultry and fishery system is been developed.<br />

The system has been tested and confirmed that a five weeks old broiler can produce droppings capable<br />

<strong>of</strong> feeding twenty juvenile clarias gueripinus to about six months to an average weight <strong>of</strong> about 0.75<br />

Kg. Although, the average weight <strong>of</strong> fish fed with concentrates at the same period was about 1 Kg but<br />

the comparative cost <strong>of</strong> raising fish with concentrates which is expensive and raising fish with poultry<br />

waste justified the study.


Development <strong>of</strong> an Interated Poultry/Fishery Husbandry for Optimal Agricultural Production 795<br />

References<br />

[1] Adesulu E.A. (2001). Pisciculture. External communication limited 1 st edition, pp 65-67<br />

[2] Chandrasoma J. (1988). Observations on Marketing <strong>of</strong> fish produced in seasonal tanks', Jour<br />

Inland Fish Sri Lanka, 4: 63–67.<br />

[3] Chakrabarty R. D. & A. Hettiarachchi (1982). ‘Preliminary Observations on Fish Polyculture<br />

cum Duck raising in a Farm Pond in Sri Lanka’, Jour Inland Fish. Sri Lanka, Vol 1. 54–61.<br />

[4] De Silva K. G. H. M. (1991). ‘The Predicament <strong>of</strong> the Freshwater Fisheries and Aquaculture <strong>of</strong><br />

Sri Lanka’, NAGA, The ICLARM Quarterly, Jan. 1991, pp. 6–7.<br />

[5] FAO (1996). Management for Freshwater Fish Culture. Ponds and water practices. FAO<br />

Publication, 21/1, 233pp.<br />

[6] Ivor H. Seeley and Roger .W (1996). Building quantities explain: 5 th Edition. Macmillan press<br />

Limited, London. Page 87.<br />

[7] Little. D. and Muir, J. (1987). A guide to Integrated warm water aquaculture. published by the<br />

Inst. Aquaculture, University <strong>of</strong> Stirring. Stirring Scotland.<br />

[8] Sharma B. K. (1981). Fish Culture Integrated with Livestock Raising; Summer Institute on<br />

Farming System integrating agriculture, livestock and fish culture, 6 July - 4 August, Central<br />

Inland Fisheries <strong>Research</strong> Institute, Barackpore, West Bengal, pp. 128–142.<br />

[9] Woynarovich E. (1979). The feasibility <strong>of</strong> combining animal husbandry with fish farming, with<br />

special reference to duck and pig production. In: Advanced in Aquaculture, T. V. R. Pillay and<br />

W. A. Dill (eds.). Fishing News Books Ltd. Farnham, Surrey, England, pp. 203–208.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.796-804<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Robust Control <strong>of</strong> a Doubly Fed Asynchronous Machine <strong>of</strong> a<br />

Wind Turbine System<br />

S. Gherbi<br />

S. Yahmedi<br />

M. Sedraoui<br />

Abstract<br />

In these last years, there is a growing interest to use the wind turbines systems to<br />

produce the electricity (see [1]) because it uses a renewable and non polluted energy which<br />

is the wind. There is different challenges in the control <strong>of</strong> the wind energy systems and we<br />

have to take in a count a several parameters that perturb the system as: the wind speed<br />

variation, the consumption variation <strong>of</strong> the electricity energy and the kind <strong>of</strong> the power<br />

consumed (active or reactive) ...etc. In this paper, we present a method to synthesize a<br />

robust controller for a wind turbine system based in a model equipped with doubly fed<br />

asynchronous machine which is the most used model in this last years [2] and we used the<br />

H ∞ robust control method with the recent method based on the use <strong>of</strong> the linear matrix<br />

inequalities (LMI’s): Gahinet-Akparian [4], the results show the stability and the<br />

performance robustness <strong>of</strong> the system in spite <strong>of</strong> the perturbations mentioned before.<br />

Keywords: Doubly fed asynchronous machine, robust control, H ∞ controller design<br />

method, linear matrix inequality LMI<br />

I. Introduction<br />

From all the renewable energy electricity production systems, the wind turbine systems are the most<br />

used specially the doubly fed asynchronous machine based systems, the control <strong>of</strong> theses systems is<br />

particularly difficult because all <strong>of</strong> the uncertainties introduced such as: the wind speed variations, the<br />

electrical energy consumption variation, the system parameters variations, in this paper we focus on the<br />

robust control ( H ∞ controller design method) <strong>of</strong> the doubly fed asynchronous machine which is the<br />

most used in the wind turbine system due to its low cost, simplicity <strong>of</strong> construction and maintenance<br />

[1]. This paper is organised as follow: section 2 presents the wind turbine systems equipped with the<br />

doubly fed asynchronous machine and the mathematical electrical equations are presented, then a<br />

model (in the state space form) are deducted, in the section 3 we present the H ∞ robust controller<br />

design method used to control our system, the section 4 present a numerical application and the results<br />

in both the frequency and time plan are presented and conclusion is given in section 5.<br />

II. System Presentation and Modelling<br />

The wind turbines system is represented by the following figure:


Robust Control <strong>of</strong> a Doubly Fed Asynchronous Machine <strong>of</strong> a Wind Turbine System 797<br />

Figure 1: Wind turbine system representation<br />

The system use the wind power to drag the double fed asynchronous machine who acts as a<br />

generator, the output power produced must have the same high quality when it enters the electrical<br />

network, i.e: 220 volts amplitude and 60 Hz frequency and the harmonics held to a low level in spite <strong>of</strong><br />

wind speed changes and electrical energy consumption in active or reactive power form. References<br />

[5], [6], [7] describe detailed models <strong>of</strong> wind turbines for simulations, we use the model equipped with<br />

the doubly fed induction generators (asynchronous machine) (for more details see [8]), the system<br />

electrical equations are given in ( d, q)<br />

frame orientation, then:<br />

The stator voltage differential equations are:<br />

d<br />

Vds = Rs.<br />

I ds + Φ ds − ws<br />

⋅Φ<br />

qs<br />

(1)<br />

dt<br />

d<br />

Vqs = Rs.<br />

I qs + Φ qs + ws<br />

⋅Φ<br />

ds<br />

(2)<br />

dt<br />

The rotor voltage differential equations are:<br />

d<br />

Vdr = Rr<br />

. Idr<br />

+ Φdr<br />

− wr<br />

⋅Φ<br />

qr<br />

(3)<br />

dt<br />

d<br />

Vqr = Rr<br />

. Iqr<br />

+ Φ qr + wr<br />

⋅Φ<br />

dr<br />

(4)<br />

dt<br />

The stator flux vectors equations are:<br />

Φ ds = L s.<br />

Ids<br />

+ M.<br />

Idr<br />

(5)<br />

Φ qs = L s.<br />

I qs + M . I qr<br />

The rotor flux vectors equations:<br />

(6)<br />

Φ dr = L r . I dr + M.<br />

I ds<br />

(7)<br />

Φ qr = L r.<br />

Iqr<br />

+ M . Iqs<br />

(8)<br />

The electromagnetic couple flux equation :<br />

M<br />

Cem p.<br />

( Φ ds.<br />

I qr −Φ<br />

qs . I dr )<br />

L<br />

= (9)<br />

s<br />

The electromagnetic couple mecanic equation:<br />

dΩ<br />

= C + J + f . Ω<br />

dt<br />

Cem r<br />

(10)<br />

Where:<br />

V , : Statoric voltage vector components in ‘d’ and ‘q’ axes respectively.<br />

ds Vqs<br />

V dr , Vqr<br />

: Rotoric voltage vector components in ‘d’ and ‘q’ axes respectively.<br />

I ds , I qs : Statoric current vector components in ‘d’ and ‘q’ axes respectively.<br />

I dr , I qr : Rotoric current vector components in ‘d’ and ‘q’ axes respectively.<br />

Φ ds , Φ qs : Statoric flux vector components in ‘d’ and ‘q’ axes respectively.<br />

Φ , : Rotoric flux vector components in ‘d’ and ‘q’ axes respectively.<br />

dr qr Φ


798 S. Gherbi, S. Yahmedi and M. Sedraoui<br />

s r R R , : Stator and rotor resistances (<strong>of</strong> one phase) respectively.<br />

s r L L , : Stator and rotor cyclic inductances respectively.<br />

w s , wr<br />

: Statoric and rotoric current pulsations respectively.<br />

M : Cyclic mutual inductance.<br />

p : Number <strong>of</strong> pair <strong>of</strong> the machine poles.<br />

C r : Resistant torque.<br />

f : Viscous rubbing coefficient.<br />

J : Inertia moment.<br />

2.1. State space Model<br />

In order to apply the robust controller design method, we have to put the system model in the state<br />

space from; we consider the rotoric voltage V dr , Vqr<br />

as the inputs and the statoric voltage V ds , Vqs<br />

as<br />

the outputs, i.e. we have to design a controller who acts on the rotoric voltages to keep the output<br />

statoric voltages at 220 volts and 50Hz frequency in spite <strong>of</strong> the electric network perturbations (demand<br />

variations … etc) and the wind speed variations (see fig.2).<br />

Figure 2: A Doubly fed wind turbine system control configuration<br />

Where: u , y and e are the rotoric voltage vector (control vector), statoric output voltage vector<br />

and the error signal between the input reference and the output system respectively. K , G are the<br />

controller, wind turbine system respectively. R is the statoric voltage references vector and<br />

ons<br />

perturbati are the electric energy demand variations, wind speed variations …etc.<br />

• Let us consider [ ] T<br />

x = Φ Φ as a state vector, and [ ] T<br />

I I V V<br />

dr qr<br />

u = ds qs ds qs as the command<br />

vector, the stator flux vector is oriented in d axis <strong>of</strong> Parks reference frame then : Φ qs = 0 and<br />

I ds , I qs are considered constant in the steady state ie: I�<br />

ds = I�<br />

qs = 0 .<br />

• We use the folowing doubly fed asynchronous machine parameters:<br />

R = 5Ω<br />

; R = 1.<br />

0113Ω<br />

; M = 0.<br />

1346H<br />

= 0.<br />

3409H<br />

; = 0.<br />

605H<br />

; = 146.<br />

6Hz<br />

; = 2π ⋅50Hz<br />

s<br />

r<br />

L<br />

M<br />

Let w = ws<br />

− wr<br />

and σ = 1−<br />

.<br />

2<br />

s r L ⋅<br />

L s<br />

• The state space (11) can be obtained by the combining <strong>of</strong> the equations (1) to (8) as follow:<br />

⎧x�<br />

= A⋅<br />

x + B ⋅ u<br />

⎨<br />

⎩y<br />

= C ⋅ x + D ⋅ u<br />

(11)<br />

Where:<br />

x = φ φ , [ ] T<br />

u = I I V V , [ ] T<br />

V y = and :<br />

[ ] T<br />

dr<br />

⎡−<br />

R<br />

⎢<br />

L<br />

= ⎢ r<br />

⎢−<br />

w<br />

⎢<br />

⎣<br />

r<br />

r<br />

qr<br />

A ,<br />

ds<br />

qs<br />

⎤ ⎡ Rr.<br />

M<br />

wr<br />

⎥ ⎢<br />

L<br />

⎥ B<br />

= ⎢ r<br />

− Rr<br />

⎥ ⎢ 0<br />

L ⎥<br />

r ⎦<br />

⎢<br />

⎣<br />

dr<br />

0<br />

qr<br />

Rr.<br />

M<br />

L<br />

r<br />

1<br />

0<br />

L r<br />

⎤<br />

0⎥<br />

⎥<br />

1⎥<br />

⎥<br />

⎦<br />

ds qs V<br />

w r<br />

w s


Robust Control <strong>of</strong> a Doubly Fed Asynchronous Machine <strong>of</strong> a Wind Turbine System 799<br />

⎡ Rr<br />

M ⎢<br />

L<br />

= − ⋅ ⎢ r<br />

Lr<br />

⎢ w<br />

⎢<br />

⎣<br />

⎤<br />

w ⎥<br />

⎥<br />

Rr<br />

− ⎥<br />

L ⎥ r ⎦<br />

C ,<br />

⎡ 2<br />

M<br />

⎢Rs<br />

+ ⋅ R<br />

2<br />

= ⎢ L<br />

D<br />

r<br />

⎢<br />

⎢ σ ⋅ Ls.<br />

W<br />

⎢⎣<br />

r<br />

− σ ⋅ L . W<br />

M<br />

Rs<br />

+<br />

L<br />

III. The H∞ Controller Design Method<br />

It is necessary to recall the basics <strong>of</strong> a control loop (fig.3), with: Δ m : is the system uncertainty, K: the<br />

controller , G: the nominal system.<br />

s<br />

2<br />

2<br />

r<br />

⋅ R<br />

r<br />

M<br />

L<br />

r<br />

0<br />

⎤<br />

0 ⎥<br />

⎥<br />

M ⎥<br />

⎥<br />

Lr<br />

⎥⎦<br />

Figure 3: The control loop with the output multiplicative uncertainties<br />

The multiplicative uncertainties at the process output which include all the perturbations that<br />

' −1<br />

act in the system are then : Δm = ( G − G).<br />

G , with G′ = G(<br />

I + Δ m ) : is the perturbed system, (Fig.3) show<br />

the singular values plot at the frequency plan <strong>of</strong> Δ m , we can see that the uncertainties are smaller at<br />

low frequencies and grow at the medium and high frequencies, this mean a strong perturbation at high<br />

frequencies (the transient phase), we also note a pick at the pulsation: ω = 260rad / sec due to the fact<br />

that the system is highly coupled at this pulsation.<br />

We can bound the system uncertainties by the following weighting matrix function:<br />

⎡ 0.<br />

55(<br />

0.<br />

02 jw + 1)<br />

⎢<br />

( 1 + 0.<br />

0001 jw)<br />

( jw)<br />

= ⎢<br />

⎢ 0<br />

⎢⎣<br />

⎤<br />

0 ⎥<br />

⎥<br />

0.<br />

55(<br />

0.<br />

02 jw + 1)<br />

⎥<br />

( 1 + 0.<br />

0001 jw)<br />

⎥⎦<br />

W t (12)<br />

The robust stability condition [11] is then:<br />

σ [ T ( jw)<br />

⋅Wt<br />

( jw)<br />

] ≺ 1<br />

(13)<br />

Or: [ ( ) ] [ ( ) ] 1 −<br />

σ T jw < σ Wt<br />

jw<br />

(14)<br />

Where: T ( jw)<br />

is the nominal closed loop transfer matrix defined by:<br />

( ) ( ) ( ) [ ( ) ( ) ] 1 −<br />

T jw = G jw ⋅ K jw ⋅ I + G jw ⋅ K jw<br />

(15)<br />

The equations (13) allow us to guaranty the stability robustness, in other hand we most<br />

guaranty satisfying performances (no overshoot, satisfying time response …etc) in the closed loop<br />

(performances robustness), this can by done by the performance robustness condition [12]:<br />

σ [ S( jw)<br />

⋅W<br />

p ( jw)<br />

] ≺ 1<br />

(16)<br />

Or: [ ( ) ] [ ( ) ] 1 −<br />

σ S jw < σ Wp<br />

jw<br />

(17)<br />

Where:<br />

• S ( jw)<br />

is the sensitivity matrix given by:<br />

( ) [ ( ) ( ) ] 1 −<br />

S jw = I + G jw ⋅ K jw<br />

(18)<br />

• WP ( jw)<br />

is a weighting matrix function designed to meet the performance specifications desired<br />

in the frequency plan, we choose the following matrix function:


800 S. Gherbi, S. Yahmedi and M. Sedraoui<br />

W p<br />

⎡ ( 0.<br />

005 jw + 1)<br />

⎤<br />

⎢<br />

0<br />

0.<br />

05 jw<br />

⎥<br />

( jw)<br />

= ⎢<br />

⎥<br />

(19)<br />

⎢<br />

( 0.<br />

005 jw + 1)<br />

0<br />

⎥<br />

⎢⎣<br />

0.<br />

05 jw ⎥⎦<br />

• The fig.6 represent the singular values <strong>of</strong> WP ( jw)<br />

in the frequency plan, one notice that the<br />

specifications on the performances are bigger in low frequencies (integrator frequency<br />

behaviour), this guaranty no static error.<br />

Then the standard problem <strong>of</strong> H∞ Control theory is then:<br />

T(<br />

jw)<br />

⋅Wt<br />

( jw)<br />

min (20)<br />

K stabili sin g S(<br />

jw)<br />

⋅W<br />

p ( jw)<br />

∞<br />

i.e.: to find a stabilising controller K that minimise the norm (20).<br />

IV. Application<br />

The minimisation problem (20) is solved by using two Riccati equations [10] or with the linear matrix<br />

inequalities approach [4]. For our system, we use the linear matrix inequalities solution with the<br />

Matlab instruction lmi<br />

hinf available at ‘LMI/ Toolbox’ <strong>of</strong> Matlab ® Mathworks inc (for more details<br />

see [12]).<br />

The controller obtained (in the state space form) is presented in appendix.<br />

• The fig.7. and the fig.8. show the satisfaction <strong>of</strong> the stability and performances robustness<br />

•<br />

(conditions (14) and (17)).<br />

We choose the desired outputs R = ( Vds<br />

_ ref<br />

and V qs <strong>of</strong> the nominal case.<br />

= 1<br />

0<br />

Vqs<br />

_ ref = 0 ) , and the fig.9.show the outputs V<br />

1<br />

ds<br />

Singular values<br />

10 -0.1<br />

10 -0.2<br />

10 -0.3<br />

10 -0.4<br />

10 -0.5<br />

10 -0.6<br />

10 -4<br />

Figure 4: The system uncertainties maximum singular values<br />

10 -3<br />

10 -2<br />

σ<br />

[ Δ ( jw)<br />

]<br />

m<br />

10 -1<br />

10 0<br />

Pulsations<br />

10 1<br />

10 2<br />

10 3<br />

10 4


Robust Control <strong>of</strong> a Doubly Fed Asynchronous Machine <strong>of</strong> a Wind Turbine System 801<br />

Figure 5: Maximum singular values <strong>of</strong> the system uncertainties m<br />

Singular values<br />

Singular values<br />

10 3<br />

10 2<br />

10 1<br />

10 0<br />

10 -1<br />

10 1<br />

10 0<br />

10 -1<br />

10 -2<br />

10 -3<br />

10 -4<br />

10 -5<br />

10 -6<br />

10 -4<br />

10 -4<br />

10 -3<br />

10 -2<br />

10 -1<br />

10 0<br />

Pulsations rad/sec<br />

Δ bounded by the singular values <strong>of</strong> ( jw)<br />

σ<br />

[ ( jw)<br />

]<br />

Figure 6: Singular Values <strong>of</strong> the weighting performance specification<br />

10 -3<br />

10 -2<br />

10 -1<br />

10 0<br />

Pulsations rad/sec<br />

10 1<br />

10 1<br />

W t<br />

10 2<br />

10 2<br />

σ<br />

[ Δ ( jw)<br />

]<br />

m<br />

10 3<br />

10 3<br />

10 4<br />

10 4<br />

W t<br />

.


802 S. Gherbi, S. Yahmedi and M. Sedraoui<br />

Singular values<br />

Singular values<br />

10 1<br />

10 0<br />

10 -1<br />

10 -2<br />

10 -3<br />

10 -4<br />

10 -5<br />

10 1<br />

10 0<br />

10 -1<br />

10 -2<br />

10 -3<br />

10 -4<br />

10 -5<br />

10 -4<br />

10 -4<br />

10 -6<br />

10 -3<br />

10 -3<br />

Figure 7: Stability robustness condition<br />

10 -2<br />

10 -1<br />

σ<br />

[ T ( jw)<br />

]<br />

10 0<br />

Pulsations rad/sec<br />

10 1<br />

Figure 8: Performances robustness condition<br />

10 -2<br />

10 -1<br />

σ<br />

[ ] 1 −<br />

( jw)<br />

W p<br />

10 0<br />

Pulsations rad/sec<br />

10 1<br />

10 2<br />

σ<br />

10 2<br />

σ<br />

[ ] 1 −<br />

( jw)<br />

W t<br />

[ S(<br />

jw)<br />

]<br />

10 3<br />

10 3<br />

10 4<br />

10 4


Robust Control <strong>of</strong> a Doubly Fed Asynchronous Machine <strong>of</strong> a Wind Turbine System 803<br />

Outputs<br />

Outputs<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

Figure 9: Step response <strong>of</strong> the controlled closed loop nominal system<br />

0 0.05 0.1 0.15 0.2 0.25<br />

Time (sec)<br />

0 0.05 0.1 0.15 0.2 0.25<br />

Time (sec)<br />

The fig.9 show the step responses <strong>of</strong> the closed loop controlled nominal system; we note no<br />

overshoot and a satisfying time response.<br />

V. Conclusion<br />

In this paper we deal with the control problem <strong>of</strong> a wind turbine equipped with a doubly fed<br />

asynchronous machine subject to various perturbations and system uncertainties (wind speed<br />

variations, electrical energy consumption, system parameters variations ...etc), we show that the H∞<br />

controller design method can be successfully applied to this kind <strong>of</strong> systems keeping stability and good<br />

performances in spite <strong>of</strong> the perturbations and system uncertainties.<br />

Vds<br />

Vqs<br />

Vqs<br />

Vds


804 S. Gherbi, S. Yahmedi and M. Sedraoui<br />

References<br />

[1] G. L. Johnson, ‘ Wind energy systems : Electronic Edition’, Manhattan, KS, October 10, 2006.<br />

[2] ‘AWEA Electrical Guide to Utility Scale Wind Turbines’, The American Wind Energy<br />

Association, March 2005, available at http://www.awea.org.<br />

[3] J. C. Doyle, K. Glover, P. P. Khargonekar and Bruce A. Francis, ‘ State-Space Solution to<br />

Standard H2 and H∞ Control Problems’, IEEE Transactions on Automatic Control, Vol. 34, N°.<br />

8, August 1989.<br />

[4] P. Gahinet, P. Akparian. ‘A linear Matrix Inequality Approch to H∞ Control ‘, Int. J. <strong>of</strong> Robust<br />

& Nonlinear Control“, vol. 4, pp. 421-448, 1994.<br />

[5] J. Soens, J. Driesen, R. Belmans, ‘ Equivalent Transfer Function for a Variable-speed Wind<br />

Turbine in Power System Dynamic Simulations ‘, International <strong>Journal</strong> <strong>of</strong> Distributed Energy<br />

Resources, Vol.1 N°2, April-June, 2005; pp. 111-133.<br />

[6] ‘Dynamic Modelling <strong>of</strong> Doubly-Fed Induction Machine Wind-Generators’, DigSilent GmbH<br />

Technical Documentation, 2003, available at http://www.digsilent.de.<br />

[7] J. Soens, J. Driesen, R. Belmans, ‘ Wind turbine modelling approaches for dynamic power<br />

system simulations ‘, IEEE Young <strong>Research</strong>ers Symposium in Electrical Power Engineering -<br />

Intelligent Energy Conversion, (CD-Rom), Delft, The Netherlands, March 18-19, 2004.<br />

[8] J. Soens, V. Van Thong, J. Driesen, R. Belmans , ‘ Modelling wind turbine generators for<br />

power system simulations ‘, <strong>European</strong> Wind Energy Conference EWEC, Madrid, 16 – 19 June<br />

2003.<br />

[9] Sigurd Skogestad, Ian Postlethwaite, ‘Multivariable Feedback Control Analysis and Design’,<br />

John Wiley and Sons, 1996. pp: 72 to 75<br />

[10] J . C. Doyle, K. Glover, P. P. Khargonekar and Bruce A. Francis, ‘State-Space Solution to<br />

Standard 2 H and H ∞ Control Problems’, IEEE Transactions on Automatic Control, Vol. 34,<br />

N°. 8, August 1989.<br />

[11] D.-W. Gu, P. Hr. Petkov and M. M. Konstantinov, ‘Robust Control Design with MATLAB ® ’,<br />

© Springer-Verlag London Limited 2005.pp:27 to 29<br />

[12] P. Gahinet, A. Nemirovski, A. J. Laub, M. Chilali. “LMI Control Toolbox For Use with<br />

MATLAB ® ”, User’s Guide Version 1, The MathWorks, Inc. 1995.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.805-816<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Effects <strong>of</strong> Enviromental Variables on<br />

Poultry Performance and Pond Water Quality in<br />

an Integrated Poultry/Fishery Farming<br />

F.R. Falayi<br />

Agricultural Engineering Department, The Federal University <strong>of</strong> Technology<br />

P.M.B. 704, Akure, Ondo State, Nigeria<br />

A.S. Ogunlowo<br />

Agricultural Engineering Department, The Federal University <strong>of</strong> Technology<br />

P.M.B. 704, Akure, Ondo State, Nigeria<br />

M.O. Alatise<br />

Agricultural Engineering Department, The Federal University <strong>of</strong> Technology<br />

P.M.B. 704, Akure, Ondo State, Nigeria<br />

Abstract<br />

The need to find alternative but productive means <strong>of</strong> managing animal waste in the<br />

modern day agriculture waste cannot be over emphasised. One important means <strong>of</strong><br />

managing these wastes is through conversion to important use either as animal feeds or as<br />

manures. Fish farming can be combined with poultry, animal husbandry and irrigation<br />

practices, which can lead to higher production and net pr<strong>of</strong>its. This practice is called<br />

integrated fish farming or integrated aquaculture. The integration <strong>of</strong> animal husbandry,<br />

especially poultry, with fish farming in a small scale results in the production <strong>of</strong> organic<br />

manure for the fertilization <strong>of</strong> the fish pond to increase the production <strong>of</strong> the natural food<br />

organism (planktonic algae) to be eaten by the fish. In some cases, the poultry wastes are<br />

used as direct food by some fish without supplementary feedings, such species include Nile<br />

Tilapia and catfish<br />

An integrated poultry/fishery housing unit was designed and constructed such that<br />

poultry droppings were made to drop into the ponds directly and used as feed for clarias<br />

gariepinus. The set-up was made <strong>of</strong> four concrete ponds on which three wooden battery<br />

cages were mounted except the fourth pond which served as the control. The ponds were<br />

stocked with twenty (20) juvenile clarias garipinus each. There were four treatments and 3<br />

replicates, fish in pond 1, two and three were fed with droppings from one broiler, two<br />

broilers and three broilers respectively. While fish in ponds 4 were fed with the fish<br />

concentrate. A total <strong>of</strong> 6 birds (4 weeks old) and 80 juvenile clarias gariepinus were used.<br />

This experiment lasted for 6 months. During this period, the environmental parameters<br />

were monitored and the effect <strong>of</strong> poultry waste on the development <strong>of</strong> the fish was<br />

analysed.<br />

There were remarkable differences in the microclimate inside and outside the<br />

building. The birds were well protected from harsh environmental conditions and a uniform<br />

development was recorded. Pollution resulting from the use <strong>of</strong> poultry droppings adversely<br />

affected the development <strong>of</strong> the fish. Increase in the volume <strong>of</strong> droppings led to increase in<br />

the Bio-Chemical oxygen demand and Chemical Oxygen demand <strong>of</strong> the pond water which


Effects <strong>of</strong> Enviromental Variables on Poultry Performance and Pond Water Quality in an<br />

Integrated Poultry/Fishery Farming 806<br />

consequently led to a decrease in the dissolved oxygen. Water turbidity also increased with<br />

increased droppings. Other water parameters like conductivity, chloride and pH values<br />

were within acceptable values suggested in literatures.<br />

The system has shown the possibility <strong>of</strong> effective poultry waste management<br />

technique which ensured that nothing is wasted and waste handling problem is grossly<br />

reduced.<br />

Keywords: Integrated, fishery, poultry, droppings, pond<br />

1. Introduction<br />

In many parts <strong>of</strong> the world, fish have provided an important part <strong>of</strong> people’s diet for centuries. The<br />

increasing per capita consumption <strong>of</strong> fish is partially due to consumer demand for healthy diet and the<br />

growing recognition that the fatty acid content <strong>of</strong> fish provides health benefit to man. The growth rate<br />

<strong>of</strong> the world’s human population has called for increased harvest <strong>of</strong> fish and fisheries products from<br />

marine and inland waters (Woynarovich 1979). Chandrasoma (1988) observed that during the last<br />

hundred years, fish catches have increased rapidly due to improved technologies. The need to increase<br />

fish production by fish farming is urgent. Fish farming is an agricultural activity that can deeply<br />

improve the already existing farming system. As in agriculture, fish farming techniques include the<br />

removal <strong>of</strong> unwanted plants and animals, their replacement by desirable species, the improvement <strong>of</strong><br />

these species by crossbreeding and selection, and the improvement <strong>of</strong> food availability by the use <strong>of</strong><br />

fertilizer. Fish farming can benefit from agricultural by-products generated by other activities, as these<br />

activities can be used to increase the quality <strong>of</strong> plankton, that is, the natural food <strong>of</strong> fish (Chakrabarty<br />

and Hettiarachchi 1982). Fish farming can be combined with poultry, animal husbandry and irrigation<br />

practices, which can lead to higher production and net pr<strong>of</strong>its. This practice is called integrated fish<br />

farming or integrated aquaculture. The integration <strong>of</strong> animal husbandry, especially poultry, with fish<br />

farming in a small scale results in the production <strong>of</strong> organic manure for the fertilization <strong>of</strong> the fish pond<br />

to increase the production <strong>of</strong> the natural food organism (planktonic algae) to be eaten by the fish. In<br />

some cases, the poultry wastes are used as direct food by some fish without supplementary feedings,<br />

such species include Nile Tilapia (FAO, 1996).<br />

Intensive livestock housing such as livestock-fish farming employs an environmental control<br />

system to maintain animal health and welfare and raise production efficiency. The thermal<br />

environment within an animal house can be defined in terms <strong>of</strong> air temperature, relative humidity,<br />

thermal radiation and air velocity. Air temperature and sometimes relative humidity, are commonly<br />

used as the criteria by which the rate <strong>of</strong> ventilation is controlled (Charles 1994).<br />

Adverse environments can affect the incidence and severity <strong>of</strong> certain endemic diseases. For<br />

example, a poor indoor microclimate, which is characterized by an inadequate thermal environment,<br />

poor ventilation and high burden <strong>of</strong> aerial pollutants, can play a major role in the aetiology <strong>of</strong> enzootic<br />

bronchopneumonia <strong>of</strong> calves and weaner pigs (Eikmeier and Mayer 1965).<br />

Several authors have discussed and reported the effect <strong>of</strong> temperature on the milk yield <strong>of</strong> dairy<br />

cow, the performance <strong>of</strong> fattening pigs and the egg yield <strong>of</strong> laying hens. The lower critical temperature<br />

(LCT) defines the lower limit <strong>of</strong> the range <strong>of</strong> optimal temperature: the upper limit is given by the upper<br />

critical temperature (UCT). LCT is affected by factors such as age, sex, breed, food energy level and<br />

intake, feathering, stocking density, bedding system, etc. UCT values are rarely exceeded for housed<br />

livestock in temperate climates but a serious problem in the tropical humid climate like Nigeria. The<br />

CIGR commission recommended maximum and minimum values <strong>of</strong> relative humidity (RH) as a<br />

function <strong>of</strong> indoor temperature, for example an RH <strong>of</strong> 50-90% at 0ºC followed by a steady decrease <strong>of</strong><br />

RH to a tolerable range <strong>of</strong> 40-60% at 30ºC.


807 F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

The object <strong>of</strong> this study was to investigate the effect micro-climate parameters like temperature<br />

and relative humidity in an integrated husbandry with respect to physiological, growth and health<br />

aspects. The development <strong>of</strong> the fish and birds have been reported elsewhere.<br />

Materials and Methods<br />

Model poultry housing unit and concrete fishponds were designed and constructed using locally<br />

available materials. Three wooden battery cages were mounted on the fish ponds. The set-up was made<br />

<strong>of</strong> four concrete ponds on which three wooden battery cages were mounted except the fourth pond<br />

which served as the control. The ponds were stocked with twenty (20) juvenile clarias garipinus each.<br />

Fish in pond 1, 2 and 3 were fed with droppings from one broiler, two broilers and three broilers<br />

respectively. While fish in ponds 4 were fed with the fish concentrate as shown in table 1.<br />

Table 1: Feeding Table for Catfish Grow-out<br />

Average weight (grams) Feeding level (%body weight) Pellet size (mm)<br />

5-10 5.5-6.0 2.0<br />

10-25 4.5-5.5 2.0<br />

25-70 4.0-4.5 3.0<br />

100-250 3.0-4.0 4.5<br />

500-750 1.5-2.0 4.5<br />

750-1000 1.1-1.5 4.5 or 6.0<br />

1000-1250 0.9-1.1 4.5 or 6.0<br />

1250-1500 0.8-1.0 4.5 or 6.0<br />

1500-2000 0.7-0.9 4.5 or 6.0<br />

A total <strong>of</strong> 6 birds (4 weeks old) and 80 juvenile clarias garipinus were used. This experiment<br />

lasted for 6 months. During this period, the environmental parameters were monitored and the effect <strong>of</strong><br />

poultry waste on the fish development was observed.<br />

Air temperature and humidity inside the husbandry were measured using a combined thermistor<br />

and capacitive sensor with a range <strong>of</strong> 5 to 60ºC and 0-100% RH, respectively. The accuracy at 25ºC<br />

was ± 0.5ºC and ± 2% RH. Data collected were stored using a data logger. The procedure is similar to<br />

Seedorf et al 1998. The relationship between external and internal temperatures was analysed.<br />

Direct analysis was used to determine water temperature (0C), Turbidity (NTU), pH,<br />

Conductivity (μscm-1), Dissolved oxygen (mg/l) and Salinity (%) using Horiba U 10 portable water<br />

analyser, while chemical analysis was used to determine chemical components which include; Nitrite,<br />

Ammonia, colour, Biochemical oxygen demand (BOD), Chloride, Chemical oxygen demand (COD),<br />

Dissolved oxygen (DO).<br />

3. Integrated Poultry Housing Husbandry Description<br />

The pond was designed mainly to give an enabling aquacultural environment for catfish. The pond was<br />

made <strong>of</strong> hollow block <strong>of</strong> 150mm (6 inches). The pond was constructed on simple strip concrete<br />

foundation and was divided into three cells <strong>of</strong> 1m each for different treatments. The wall was<br />

adequately plastered with appropriate mixture <strong>of</strong> cement, sand and water and adequate precaution<br />

against under cuts by water. One important characteristic <strong>of</strong> a modern fishpond is that it must be<br />

drainable; this means that it should be possible to empty the pond down to the last drop <strong>of</strong> water hence<br />

the floor <strong>of</strong> the pond was constructed at a slope <strong>of</strong> 0.2 for proper drainage. The ponds were supplied<br />

with well water and drained through gate valves <strong>of</strong> 37mm (1 ½ inches).<br />

The poultry-housing unit was designed to give appropriate ventilation system for good<br />

performance <strong>of</strong> the birds. The floor dimension was 4.50m by 2.54m and total height <strong>of</strong> the building<br />

was 3.14m. The poultry-housing unit was constructed using timber and steel, which are readily


Effects <strong>of</strong> Enviromental Variables on Poultry Performance and Pond Water Quality in an<br />

Integrated Poultry/Fishery Farming 808<br />

available materials with good strength and minimum cost. The ro<strong>of</strong> was made <strong>of</strong> galvanized corrugated<br />

ro<strong>of</strong>ing sheet. The cage was constructed using wood and wire mesh for the cage floor. The height <strong>of</strong><br />

the cage was 0.47m, length <strong>of</strong> 0.5m and width <strong>of</strong> 0.4m. The complete housing unit is as shown in<br />

Fig.1.<br />

Figure 1: Experimental set up <strong>of</strong> the integrated unit<br />

4. Results and Discussion<br />

Variation in pH level in the ponds<br />

The pH value <strong>of</strong> the water in the various ponds through out the experiment varied between 5.9 and 7.0<br />

in pond 1, 6.3 to 7.7 in pond2 and 6.6 to 7.8 in pond3. There were fluctuations in the values <strong>of</strong> the pH<br />

in the ponds as shown in Fig 2. However the values <strong>of</strong> pH recorded in the ponds were within the<br />

acceptable limit necessary for optimum growth <strong>of</strong> cat fish. The value <strong>of</strong> pH recorded at the control<br />

pond was slightly higher than that obtained in pond 1. This must have been as a result <strong>of</strong> the<br />

ingredients used in the preparation <strong>of</strong> the fish concentrates.<br />

Figure 2: p H Values <strong>of</strong> water in the various ponds against weeks after stocking


809 F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

Variation in the turbidity level in the ponds<br />

The turbidity level in the various pond water throughout the period <strong>of</strong> the experiment is as shown in<br />

Fig.3. The turbidity <strong>of</strong> the pond water increased through out the experiment. Highest value <strong>of</strong> turbidity<br />

was recorded in pond3, followed by pond2 and pond1. The least value <strong>of</strong> turbidity was recorded in<br />

control pond. This trend must have been as a result <strong>of</strong> the increased quantity <strong>of</strong> droppings into the<br />

ponds. A linear relationship was established between turbidity <strong>of</strong> water in the ponds against the number<br />

<strong>of</strong> weeks after stocking which showed a high correlation <strong>of</strong> 0.99. (R2 =0.99) as shown in Fig. 3.<br />

Figure 3: Variations in the Turbidity against weeks after stocking<br />

Variation in dissolved oxygen level in the ponds<br />

The total dissolved oxygen (DO) in the various ponds throughout the experiment is as shown in Fig.4.<br />

The value decreased significantly towards the end <strong>of</strong> the experiment in all the ponds. This development<br />

might be as result <strong>of</strong> increase in the weight <strong>of</strong> the fish bringing about an increase in the quantity <strong>of</strong><br />

droppings from the birds. The poultry droppings is an organic material which has high BOD and<br />

capable <strong>of</strong> utilising the oxygen in the water. Dissolved oxygen depletion was highest in pond3<br />

followed by pond2 and pond1 and least oxygen depletion was recorded in control pond. When<br />

compared with the tolerable (DO) standard level, the values <strong>of</strong> dissolved oxygen in ponds 1 and 2 were<br />

within the limit suitable for fish culture but the DO level recorded in pond3 towards the end <strong>of</strong> the<br />

experiment was below the standard required for effective catfish production and must have been<br />

responsible for the retarded growth <strong>of</strong> fish in the pond.<br />

Figure 4: Variations in the Dissolved oxygen in the water against weeks after stocking


Effects <strong>of</strong> Enviromental Variables on Poultry Performance and Pond Water Quality in an<br />

Integrated Poultry/Fishery Farming 810<br />

Variation in the chemical oxygen demand (COD) level in the ponds<br />

The chemical oxygen demand (COD) increased in all the ponds from stocking to the end <strong>of</strong> the<br />

experiment as shown in Fig.5. The COD level recorded in pond 3 was highest. This was expected<br />

because <strong>of</strong> the quantity <strong>of</strong> droppings into the pond which increased with age <strong>of</strong> the birds. The COD test<br />

was used to determine the oxygen equivalent <strong>of</strong> the organic matter that can be oxidised by a strong<br />

chemical oxidising agent. Also as expected, the COD values in the ponds were greater than the BOD<br />

values because more compounds could be oxidised chemically than could be oxidised biologically.<br />

However, the value <strong>of</strong> COD recorded in control pond was the least.<br />

Figure 5: Variations <strong>of</strong> COD in the pond water against Weeks After Stocking<br />

Variation in the conductivity level in the ponds<br />

Conductivity ranges in value from 0.42 to 0.82 μscm-1 through out the period <strong>of</strong> experiment as shown<br />

in Fig. 6. It was observed that the conductivity level was unstable through out the period <strong>of</strong> the<br />

experiment. A highest value <strong>of</strong> conductivity was noticed in pond3 and the least in control pond. The<br />

high value <strong>of</strong> conductivity might be connected with the droppings into the ponds.<br />

Variation in Colour <strong>of</strong> water<br />

Figure 6: Variations in the conductivity against Weeks After Stocking<br />

The colour <strong>of</strong> water in the various ponds is as shown in Fig.7. As expected, the highest value <strong>of</strong> colour<br />

<strong>of</strong> water was recorded in pond3 and the least in control pond. The increased colour change in the ponds<br />

corresponded with the quantity <strong>of</strong> droppings from the poultry birds and the age <strong>of</strong> the birds.


811 F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

Figure 7: Variations in the colour <strong>of</strong> water against Weeks After Stocking<br />

Variation in Bio-chemical oxygen demand (BOD) level in the ponds<br />

The variation in the BOD level in the various ponds throughout the period <strong>of</strong> the experiment is as<br />

shown in Fig.8. As expected, highest value <strong>of</strong> BOD was recorded in pond3 and least value was<br />

recorded in pond1. The introduction <strong>of</strong> oxygen – demanding material like poultry droppings into pond<br />

would expectedly caused the depletion <strong>of</strong> the dissolved oxygen in the water. This might pose a threat<br />

or affect the development <strong>of</strong> the fish if the concentration falls below a critical point. A linear<br />

relationship was established between the BOD level and weeks after stocking with a high correlation<br />

(R2=0.98).<br />

Figure 8: Variations in the Bio-chemical-oxygen - Demand <strong>of</strong> the water against Weeks after Stocking<br />

Variation in chloride level in the ponds<br />

Chloride level in the various ponds during the period <strong>of</strong> experiment is as shown in Fig.9. A highest<br />

chloride level was observed in pond3 while the last was recorded in pond1. The value <strong>of</strong> chloride<br />

recorded in pond 2 was more than that <strong>of</strong> control pond. The reason for this variation is not yet obvious<br />

but might be due to the composition <strong>of</strong> the poultry feed. However the chloride level was considered<br />

suitable for the growth <strong>of</strong> the fish when compared to the standard chloride level for fish (not less than<br />

20 mg/l).


Effects <strong>of</strong> Enviromental Variables on Poultry Performance and Pond Water Quality in an<br />

Integrated Poultry/Fishery Farming 812<br />

Figure 9: Relationship between the chloride levels in the various ponds and Weeks After Stocking<br />

Development <strong>of</strong> the Birds<br />

The birds recorded an increasing weight gain throughout the period <strong>of</strong> the study. The average weight<br />

during stocking to the end <strong>of</strong> the study varied from 0.7kg to about 9kg. There was no significant<br />

difference at 5% level in the average weight <strong>of</strong> the birds in the various cages as shown in the ANOVA<br />

table shown in table 7.1 and Fig.10 and this implied that the development <strong>of</strong> birds in the cages was<br />

equal throughout the period <strong>of</strong> the study.<br />

Figure 10: Relationship between the average weight <strong>of</strong> birds in different cages and weeks after Stocking<br />

10000<br />

9000<br />

8000<br />

7000<br />

6000<br />

5000<br />

4000<br />

3000<br />

2000<br />

1000<br />

0<br />

cage1<br />

cage2<br />

cage3<br />

0 2 4 6 8 12 14 16 18 2 0 2 2 2 4<br />

Weeks after stocking<br />

Zero mortality was recorded throughout the period <strong>of</strong> study and this confirmed that the<br />

environmental conditions <strong>of</strong> the housing unit were suitable for poultry production. A log-log plot <strong>of</strong> the<br />

weight <strong>of</strong> birds and time is shown in Fig. 11. This graph is a straight line which relates the growth <strong>of</strong><br />

weight <strong>of</strong> birds as a power <strong>of</strong> time and similar to the observations <strong>of</strong> Kettlewell, P. J. and Moran, P.<br />

(1992) and Aerts et-al (2000).


813 F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

logM<br />

Figure 11: LogM versus Logt<br />

y = 0.8772x - 0.3361<br />

R 2 1.2<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

= 0.9237<br />

-0.2<br />

-0.4<br />

-0.6<br />

0 0.5 1 1.5<br />

logt<br />

logM<br />

Linear (logM )<br />

Monitoring <strong>of</strong> Environmental Parameters<br />

Environmental parameters such as humidity and temperature outside and inside the husbandry were<br />

monitored as these would affect the welfare <strong>of</strong> the birds.<br />

Relative Humidity Variations<br />

The relative humidity within and outside the integrated aquaculture in the morning, afternoon and<br />

evening is as shown in the graphs in Fig.12, 13, and 14. The graphs indicated that the relative humidity<br />

within the integrated aquaculture in most cases was higher than that <strong>of</strong> the outside. In the morning<br />

there was a marked difference between the indoor and outdoor relative humidity. The relative humidity<br />

outside varies from 77.7% to 96.8% while the relative humidity inside varies from 83.6% to 98.8%.<br />

The increase in relative humidity resulted from evaporation <strong>of</strong> water from the pond surface. This is a<br />

very high relative humidity and could influence the growth <strong>of</strong> disease causing micro-organisms, which<br />

could adversely affect the well being <strong>of</strong> the birds. However, no incidence <strong>of</strong> disease was recorded<br />

throughout the period <strong>of</strong> the experiment because <strong>of</strong> lower temperature and increased management<br />

practices. Since a battery cage system was used for the birds, it was not possible for the birds to<br />

contaminate the feed and the water.<br />

Figure 12: Relative humidity Outside and Inside the Building in the Morning<br />

Relative hmidity 0 C<br />

100<br />

95<br />

90<br />

85<br />

80<br />

75<br />

0 5 10 15 20 25 30 35 40 45 50 55<br />

No <strong>of</strong> Days<br />

Rhout<br />

RHin


Effects <strong>of</strong> Enviromental Variables on Poultry Performance and Pond Water Quality in an<br />

Integrated Poultry/Fishery Farming 814<br />

Figure 13: Relationship between relative humidity inside and outside in the Afternoon<br />

Relative Humidity (%)<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

0 20 40 60<br />

No <strong>of</strong> Days<br />

Figure 14: Relationship between relative humidity inside and outside the building in the evening<br />

Relative Humidity(%)<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

RHin<br />

30<br />

0 20 40 60<br />

No <strong>of</strong> Days<br />

In the afternoon, the relative humidity outside and inside the building followed the same pattern<br />

and no clear difference was observed. This might be as a result <strong>of</strong> an increase in wind movement. The<br />

relative humidity inside varies from 43.2% to 81.5% while the relative humidity outside varies from<br />

40% to 82.7%.<br />

In the evening, the pattern was not different from that <strong>of</strong> the morning, which implied that the<br />

relative humidity conditions inside, the building was slightly higher than that <strong>of</strong> outside. The relative<br />

humidity inside varied from 57% to 89.3% while the relative humidity outside varies from 56.6% to<br />

87.6%, which was normal and within the comfort zone as stated by Seedorf, et al (1998).<br />

Temperature Variations<br />

The indoor and outdoor temperature varied with the periods <strong>of</strong> the day. In the morning the indoor<br />

temperature was usually greater than that <strong>of</strong> outdoor temperature but in the afternoon the outdoor<br />

temperature was a slightly higher than the indoor temperature. The indoor temperature in the morning<br />

varied from 21.2 ºC to 27.1 ºC while the outdoor temperature varies from 21.7 ºC to 27.3 ºC as shown<br />

in Fig.15. In the afternoon, the indoor temperature varied 26.1ºC to 34.6ºC while the outdoor<br />

temperature varied from 26.9ºC to 36.3ºC as shown in Fig.16. In the evening, outside and inside<br />

temperatures followed the same pattern as shown in Fig 17. The outdoor temperature varied from<br />

25.2ºC to 33ºC while the inside temperature varied from 25.2ºC to 32.7ºC. This is considered normal<br />

and within the thermo neutral or comfort zone <strong>of</strong> the birds (Van Kampen, 1997).<br />

Rhout<br />

RHin<br />

Rhout


815 F.R. Falayi, A.S. Ogunlowo and M.O. Alatise<br />

Figure 15: Temperature Outside and Inside the Building in the Morning<br />

Temperatures<br />

28<br />

27<br />

26<br />

25<br />

24<br />

23<br />

22<br />

21<br />

20<br />

0 5 10 15 20 25 30 35 40 45 50 55<br />

No <strong>of</strong> Days<br />

Figure 16: Relationship between outside and inside temperatures in the afternoon<br />

Figure 17: Relationship between temperatures outside and inside the building in the Evening<br />

Temperatures ( 0 C)<br />

35<br />

30<br />

25<br />

20<br />

15<br />

0 20<br />

No <strong>of</strong> Days<br />

40 60<br />

Conclusions<br />

An integration <strong>of</strong> Poultry and Fishery system has been developed for the purpose <strong>of</strong> optimal<br />

productivity and the following conclusions can be drawn from the research study; it has been possible<br />

to integrate poultry and fishery husbandry and the waste generated by the poultry serving as a feed for<br />

the fish. Droppings from a broiler that was given unlimited access to feed and water was capable <strong>of</strong><br />

feeding twenty clarias gariepinus to an average weight <strong>of</strong> about six hundred grammes (0.6 Kg) without<br />

using any other feed. The system has shown the possibility <strong>of</strong> effective poultry waste management<br />

technique which ensured that nothing is wasted and waste handling problem is grossly reduced.<br />

Tout<br />

Tin<br />

Tout<br />

Tin


Effects <strong>of</strong> Enviromental Variables on Poultry Performance and Pond Water Quality in an<br />

Integrated Poultry/Fishery Farming 816<br />

Pollution resulting from the use <strong>of</strong> poultry droppings adversely affected the development <strong>of</strong> the<br />

fish. Increase in the volume <strong>of</strong> droppings led to increase in the Bio-Chemical oxygen demand and<br />

Chemical Oxygen demand <strong>of</strong> the pond water which consequently led to a decrease in the dissolved<br />

oxygen. Water turbidity also increased with increased droppings. Other water parameters like<br />

conductivity, chloride and pH values were within acceptable values suggested in literatures.<br />

References<br />

[1] Chakrabarty R. D. & A. Hettiarachchi (1982). ‘Preliminary Observations on Fish Polyculture<br />

cum Duck raising in a Farm Pond in Sri Lanka’, Jour Inland Fish. Sri Lanka, Vol 1. 54–61.<br />

[2] Chandrasoma J. (1988). Observations on Marketing <strong>of</strong> fish produced in seasonal tanks', Jour<br />

Inland Fish Sri Lanka, 4: 63–67.<br />

[3] Charles D.R. (1994). Comparative climatic requirements. In: Livestock Housing (Wathes C.M;<br />

Carles D.R. eds) CAB international.pp. 3-24.<br />

[4] CIGR (1984). Climatisation <strong>of</strong> animal houses. Report <strong>of</strong> working group. Scottish Farm building<br />

Investigation Unit, cribastone, Aberdeen, Scotland.<br />

[5] Eikmeier H., Mayer H. (1965). The economic importance <strong>of</strong> the enzootic pneumonia <strong>of</strong> pigs.<br />

Berliner Munchener Tierartliche Wochenschrift. 78, 449-450.<br />

[6] Seedorf J.; Hartung J; Schroder M; Linkert K.H.; Petersen S; Takai H; Johnson J.O.; Metz<br />

J.H.M; Groot P.W.G.; Uenk G.H.; Philips V.R.; Holden M.R.; Sneath R.W. Short J.L.; White<br />

R.P. and Wathes C.M.A (1998) Temperature and Moisture conditions in Livestock Buildings in<br />

Northern Europe. J. agric Engng Res 70, 49-57<br />

[7] Woynarovich E. (1979). The feasibility <strong>of</strong> combining animal husbandry with fish farming, with<br />

special reference to duck and pig production. In: Advanced in Aquaculture, T. V. R. Pillay and<br />

W. A. Dill (eds.). Fishing News Books Ltd. Farnham, Surrey, England, pp. 203–208


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.817-827<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Spatial Distribution and Characterisation <strong>of</strong> the Sediments <strong>of</strong><br />

the Estuary <strong>of</strong> Comoe River (Grand-Bassam, Côte D’ivoire)<br />

Adopo Kouassi Laurent<br />

Laboratoire de Géologie Marine, Sédimentologie et Environnement<br />

Centre de Recherche en Ecologie, Université d’Abobo-Adjamé<br />

01 BP 10588 Abidjan 01 (Côte d’Ivoire)<br />

E-mail: l_adopo@yahoo.fr<br />

Tel: (225) 21 25 73 36/08 49 61 00; Fax. (225) 21 24 01 91<br />

Kouassi Kouakou Lazare<br />

Laboratoire de Géologie Marine, Sédimentologie et Environnement<br />

Centre de Recherche en Ecologie, Université d’Abobo-Adjamé<br />

01 BP 10588 Abidjan 01 (Côte d’Ivoire)<br />

E-mail: k_lazare@yahoo.fr<br />

Tel: (225) 21 25 73 36/05 61 23 06; Fax. (225) 21 24 01 91<br />

Wognin Ama Valérie Irma<br />

Laboratoire de Géologie Marine et Sédimentologie<br />

UFR-Sciences de la Terre et des Ressources Minières<br />

Université de Cocody, 22 BP 582 Abidjan 22 (Côte d’Ivoire)<br />

E-mail: ama_valerie@yahoo.fr<br />

Tel: (225) 22 48 38 02/07 90 49 62<br />

Monde Sylvain<br />

Laboratoire de Géologie Marine et Sédimentologie<br />

UFR-Sciences de la Terre et des Ressources Minières<br />

Université de Cocody, 22 BP 582 Abidjan 22 (Côte d’Ivoire)<br />

E-mail: ama_valerie@yahoo.fr<br />

Tel: (225) 22 48 38 02/08 76 75 77<br />

Meledje N’Diaye Hermann<br />

Laboratoire de Géologie Marine, Sédimentologie et Environnement<br />

Centre de Recherche en Ecologie, Université d’Abobo-Adjamé<br />

01 BP 10588 Abidjan 01 (Côte d’Ivoire)<br />

E-mail: meledjendiay@yahoo.fr<br />

Tel: (225) 21 25 73 36/09 93 96 17; Fax. (225) 21 24 01 91<br />

Aka Kouamé<br />

Laboratoire de Géologie Marine et Sédimentologie<br />

UFR-Sciences de la Terre et des Ressources Minières<br />

Université de Cocody, 22 BP 582 Abidjan 22 (Côte d’Ivoire)<br />

E-mail: akaraphael@yahoo.fr<br />

Tel: (225) 22 48 38 02/08 87 30 97


Spatial Distribution and Characterisation <strong>of</strong> the Sediments <strong>of</strong> the Estuary <strong>of</strong><br />

Comoe River (Grand-Bassam, Côte D’ivoire) 818<br />

Abstract<br />

A sedimentological study was carried out at the estuary <strong>of</strong> Comoe river with the<br />

perpose <strong>of</strong> determining, using the granulometric and mineralogical characteristics, the<br />

origin, the transport process and the space distribution <strong>of</strong> sediments. In the estuary <strong>of</strong><br />

Comoe river, one distinguishes in the downstream sector a prevalence <strong>of</strong> mud and fine<br />

sands. In the upstream sector sands are mainly middle to coarse in size. The muds are<br />

localised in the vicinities <strong>of</strong> the banks while sands are in the principal channel <strong>of</strong> the river.<br />

The mineral found in the sediments is characterised by heavy minerals (the<br />

amphibole, tourmaline, diopside and epidote) and light minerals (quartz and feldspaths).<br />

The morphoscopy <strong>of</strong> the quartzs revealed the prevalence <strong>of</strong> rounded and bright<br />

particles, representing a fluviatile transport at a relatively long distance.<br />

Keywords: sediment, sand, estuary, Comoe, Grand-Bassam, Côte d’Ivoire<br />

1. Introduction<br />

Les estuaires, zones de rencontre entre le fleuve et la mer, présentent une dynamique assez complexe<br />

(LE NORMANT, 1995). En effet, les dépôts des particules transportées par les eaux fluviales et<br />

marines façonnent la morpho-structure des paysages estuariens.<br />

En Côte d’Ivoire, ABE (1995) et WOGNIN (2004) ont mis en évidence les conséquences de la<br />

dynamique de l’embouchure du fleuve Bandama. Celles-ci se traduisent par un déplacement progressif<br />

de cette embouchure vers l’Ouest.<br />

Au niveau de l’embouchure de la Comoé à Grand-Bassam, zone de rencontre entre l’Océan<br />

Atlantique, la lagune Ebrié et le fleuve Comoé, la dynamique hydrosédimentaire est encore plus<br />

spectaculaire si bien que les dépôts successifs de sédiments donnent naissance à un banc de sables qui<br />

rompt le contact naturel entre le fleuve et l’océan (KOFFI et al., 1991). Des travaux de dragage ont été<br />

effectués pour ouvrir cette embouchure qui s’est toujours refermée quelques années plus tard<br />

(TASTET, 1979; ABE et al., 1996; ABE, 2005). Ainsi, des opérations d’ouverture ont respectivement<br />

eu lieu en 1987, 1990 et 2005 après les colmatages observés en 1975, 1989 et 2003. Aujourd’hui, cette<br />

embouchure reste toujours fermée et entraîne le confinement du milieu estuarien, la surcharge des eaux<br />

fluvio-lagunaires et l’envahissement des plans d’eau par les végétaux flottants (SANKARE et ETIEN,<br />

1991; SANKARE et al., 1991). Ces travaux de dragage se sont soldés par des échecs à cause de la non<br />

maîtrise de la dynamique sédimentaire qui contrôle le fonctionnement de cette embouchure. Les<br />

travaux de ABE et al. (1996) ont révélé que le caractère irrégulier des débits du fleuve Comoé pourrait<br />

expliquer, en partie, cette fermeture. En effet, selon ces auteurs, la réduction significative des débits de<br />

ce cours d’eau pendant les périodes d’étiage, notamment au cours de ces dernières décennies du fait de<br />

l’influence des fluctuations climatiques, favorise les phénomènes de sédimentation. La conjugaison des<br />

dépôts fluviatiles et du transit littoral occasionne le colmatage rapide de l’embouchure du fleuve<br />

Comoé.<br />

Cependant, ces études ne mettent ni l’accent sur la caractérisation des sédiments du fond au<br />

niveau de l’embouchure ni sur la dynamique sédimentaire. Or, l’approche géologique permet de<br />

comprendre les multiples variations historiques et de reconstruire les étapes d’évolution de<br />

l’environnement (AMEY et al., 2007).<br />

L’objectif de cette étude est de caractériser les sédiments déposés à l’estuaire du fleuve Comoé<br />

afin de connaître leur origine, leur mode de transport et leur répartition spatiale.


819 Adopo Kouassi Laurent, Kouassi Kouakou Lazare, Wognin Ama Valérie Irma<br />

Monde Sylvain, Meledje N’Diaye Hermann and Aka Kouamé<br />

2. Site et Méthodes<br />

2.1. Site D’étude<br />

Le secteur estuarien du fleuve Comoé est à l’extrémité orientale de la lagune Ebrié. Il est situé entre<br />

5°12’ et 5°14’ de latitude Nord et 3°42’ et 3°44’ de longitude Ouest. Cette zone constitue le plus vaste<br />

estuaire du littoral ivoirien (KOFFI et al., 1991). La zone d’étude couvre les environs de l’île Morin au<br />

Nord, le pont de Moossou à la confluence du fleuve Comoé et de la lagune Ebrié, l’île Bouet et le<br />

cordon littoral au Sud. Elle inclue le bras du cours du fleuve Comoé jusqu’au village de Yaou au Nord-<br />

Est (Figure 1). La zone estuarienne est alimentée par le Comoé qui draine tout l’arrière pays et couvre<br />

une superficie de 78000 km 2 .<br />

Figure 1: Localisation de la zone d’étude<br />

Libéria<br />

Mali<br />

Bassin de<br />

la Comoé<br />

Océan<br />

Atlantique<br />

Banc de sable<br />

Burkina-Faso<br />

La grande partie du bassin versant de la Comoé est située sur le socle appartenant au vieux<br />

bouclier précambrien de l’Afrique de l’Ouest (AVENARD, 1971). Le sous-bassement de cette partie<br />

du bassin est composé de différents types de roche-mères dont les principales sont les granites, les<br />

migmatites et les roches métamorphiques. La zone de Grand-Bassam se localise dans la zone centrale<br />

du bassin sédimentaire où on observe des formations miopliocène à quaternaire (TASTET, 1979;<br />

DELOR, 1992).<br />

Ghana


Spatial Distribution and Characterisation <strong>of</strong> the Sediments <strong>of</strong> the Estuary <strong>of</strong><br />

Comoe River (Grand-Bassam, Côte D’ivoire) 820<br />

Les travaux de PERRAUD (1971) ont permis de distinguer différents types de sols sur le bassin<br />

de la Comoé. Les formations pédologiques les plus prépondérantes sont les sols ferrallitiques parsemés<br />

de quelques lambeaux de sols bruns eutrophes tropicaux dérivés de roches basiques.<br />

Le régime hydrologique du fleuve Comoé est caractérisé par le régime tropical de transition au<br />

Nord, le régime tropical de transition atténué au Centre et le régime équatorial de transition au Sud. Les<br />

écoulements observés au Sud du bassin de la Comoé sont fortement influencés par le régime tropical<br />

de transition du Nord. Ce régime comporte généralement une seule période de hautes eaux (aoûtseptembre-octobre),<br />

suivie d’un tarissement rapide de novembre à décembre.<br />

2.2. Méthodes D’étude<br />

Pour déterminer les caractéristiques granulométriques des sables de l’estuaire du fleuve Comoé, 24<br />

échantillons de sédiments ont été prélevés sur huit (8) radiales allant d’une berge à une autre à l’aide<br />

d’une benne Van Veen (voir figure 1).<br />

Les sédiments ont été traités selon la technique décrite par SAAIDI (1991). Les matières<br />

organiques et les débris coquilliers ont été éliminés respectivement à l’aide de l’eau oxygénée 30% et<br />

de l’acide chlorhydrique 50%. Après élimination de la fraction inférieure à 63 μm, chaque échantillon<br />

de sable a subi une analyse granulométrique à sec sur une colonne de 16 tamis (série AFNOR). Les<br />

sables de l’estuaire ont été caractérisés à travers la moyenne granulométrique (Mz), le skwness (Sk) et<br />

l’indice de classement (So), déterminés à l'aide des méthodes de FRIEDMAN (1967) et FOLK (1974).<br />

Les cartes sédimentologiques et les cartes de positionnement ont été réalisées à l’aide des<br />

logiciels ArcView 3.3 et SURFER 8.2.<br />

3. Résultats et Discussion<br />

3.1. Description et cartographie des faciès sédimentaires superficiels<br />

3.1.1. Description des faciès sédimentaires<br />

L’analyse granulométrique des sédiments superficiels de l’estuaire du fleuve Comoé met en évidence<br />

trois faciès lithologiques. Il s’agit des sables, des vases et des sédiments "mixtes" (Tableau I).


821 Adopo Kouassi Laurent, Kouassi Kouakou Lazare, Wognin Ama Valérie Irma<br />

Monde Sylvain, Meledje N’Diaye Hermann and Aka Kouamé<br />

Table I: Granulométrie et description des sables de l’estuaire du fleuve Comoé<br />

Ech.<br />

Positions<br />

Longitude Latitude<br />

Faciès sédimentaires Mz (µm) Sk So<br />

1* 429324 581026 Vase fluide noirâtre; très riche en matières organiques < 63 (-) (-)<br />

2 429324 580827 Sables grossiers, jaune roux, modérément classés 765 0,66 0,95<br />

3 429324 580477 Sables très fins de couleur grise; modérément classés à mal classés 115 0,82 0,23<br />

4* 425629 580028 Vase fluide noirâtre; très riche en matières organiques < 63 (-) (-)<br />

5 425629 579728 Sable grossiers, jaune roux, modérément classés 625 0,75 0,55<br />

6 425629 579479 Sables fins de couleur grise; modérément classés à mal classés 135 0,85 0,25<br />

7 421485 578181<br />

Vases sableuses de couleur grise olive à noire olive; modérément<br />

classée à mal classée<br />

73 0,81 0,29<br />

8 421485 577981<br />

Sables moyens, jaune roux à grisâtre; modérément classés; présence de<br />

quelques débris coquilliers<br />

482 0,68 0,45<br />

9 421485 577731 Sables fins de couleur grise; modérément classés à mal classés. 240 0,85 0,26<br />

10* 419885 577132<br />

Crème de vase de couleur verdâtre; présence de débris végétaux et<br />

coquilliers<br />

< 63 (-) (-)<br />

11* 420085 577132 Vase fluide verdâtre; riche en matières organiques < 63 (-) (-)<br />

12 420387 577132<br />

Vase sableuse de couleur gris olive à noire olive; modérément classée<br />

à mal classée<br />

68 0.83 0,27<br />

13* 419638 577931 Vase fluide noirâtre; très riche en matières organiques < 63 (-) (-)<br />

14 420636 577931<br />

Sables moyens, jaune roux à grisâtre; modérément classés; présence de<br />

quelques débris coquilliers<br />

412 0.76 0,50<br />

15 420037 577931<br />

Vase sableuse de couleur grise olive à noire olive modérément classée<br />

à mal classée<br />

67 0,84 0,29<br />

16 419438 576384<br />

Sables moyens, jaune roux à grisâtre avec quelques débris coquilliers;<br />

modérément classée<br />

358 0,66 0,52<br />

17 420087 576384<br />

Sables moyens, jaune roux à grisâtre; modérément classés; présence de<br />

quelques débris coquilliers<br />

459 0,78 0,55<br />

18 420489 576384<br />

Sables moyens, jaune roux à grisâtre; modérément classés; présence de<br />

quelques débris coquilliers<br />

476 0,77 0,48<br />

19* 419138 575584 Crème de vase grisâtre; riche en matières organiques < 63 (-) (-)<br />

20* 419488 575584 Crème de vase grisâtre; présence de débris végétaux et coquilliers < 63 (-) (-)<br />

21* 419788 575584 Vases fluides noirâtre; très riche en matières organiques < 63 (-) (-)<br />

22 419388 574836 Sables fins de couleur grise; modérément classés à mal classés 158 0,86 0,30<br />

23 419588 574836 Sables fins de couleur grise; modérément classés à mal classés 213 0,80 0,31<br />

24 419887 574836 Sable très fin de couleur grise; modérément classés à mal classés 120 0,82 0,28<br />

Ech. Echantillon; * Station à proximité de la rive; (-) paramètres non identifiés<br />

La granulométrie des sables contenus dans les sédiments prélevés révèle que les grains sont très<br />

fins à grossiers (Ech. 2, 3, 5, 6, 8, 9, 16, 17; 18, 23, 24). La couleur des sables est brun-jaunâtre à degré<br />

variable. On trouve dans les sédiments quelques débris végétaux et coquilliers. La granulométrie de ces<br />

sables augmente lorsqu’on tend vers lit du cours d’eau. Par ailleurs, les sables sont plus grossiers en<br />

amont qu’en aval.<br />

Les vases sont de couleur variable et se localisent aux voisinages des berges (Ech. 1, 4, 10, 11,<br />

13, 19, 20, 21). Les vases fluides sont noirâtres et très riches en matières organiques. La crème de vase<br />

présente une couleur grisâtre et est riches en matières organiques.<br />

Les sédiments "mixtes" (Ech. 7, 12, 15) sont constitués de sables vaseux et de vases sableuses.<br />

Leur coloration varie du noir olive au gris olive. Ils contiennent à la fois des débris végétaux et<br />

coquilliers.<br />

3.1.2. Répartition spatiale des teneurs en fractions granulométriques<br />

Sur le plan spatial, la distribution des sédiments n’est pas homogène à l’estuaire du fleuve Comoé<br />

(Figure 2). Les sables moyens à grossiers se rencontrent dans le lit principal du fleuve. Leur<br />

granulométrie diminue de l’amont vers aval. La moyenne granulométrique des sables est comprise<br />

entre 240 et 765 µm. Les indices de classement se situent entre 0,58 et 1,12 avec une moyenne de 0,85.<br />

Ceci indique que les sables dans l’estuaire sont modérément classés à mal classés. Les indices<br />

d’asymétrie (skewness) s’étendent de 0,06 à 0,25 indiquant une forte asymétrie vers les petites tailles.


Spatial Distribution and Characterisation <strong>of</strong> the Sediments <strong>of</strong> the Estuary <strong>of</strong><br />

Comoe River (Grand-Bassam, Côte D’ivoire) 822<br />

Aux voisinages des îles Bouet et Morin ainsi qu’à la confluence de la lagune Ouladine, les<br />

sables sont fins à très fins (67 < Mz < 120).<br />

Au niveau des berges, zones occupées par les végétaux flottants depuis la fermeture de<br />

l’embouchure, on rencontre uniquement des vases fluides et de la crème de vase, riches en matières<br />

organiques. Aussi, à proximité de l’embouchure, trouvent-on, en abondance (plus de 80% des<br />

sédiments) des vases fluides de couleur noire olive. Cette zone constitue ainsi une vasière interne en<br />

relation avec les apports du fleuve Comoé.<br />

Dans le bras de la lagune Ebrié, le faciès granulométrique est caractérisé par des sables vaseux.<br />

Les sédiments sont très bien classés et témoignent de l’extrême turbulence de cette zone même pendant<br />

la phase d’accumulation sableuse.<br />

585000<br />

580000<br />

575000<br />

Figure 2: Répartition des faciès de surface des sédiments dans l’estuaire du fleuve Comoé<br />

Lagune<br />

Ouladine<br />

Lagune Ebrié<br />

415000 420000 425000 430000<br />

3.2. Mode de transport des sédiments<br />

Embouchure fermée<br />

Fleuve Comoé<br />

0 4km<br />

Moyenne<br />

granulométrique (µm)<br />

Légende<br />

< 63<br />

63 -250<br />

250 - 500<br />

> 500<br />

Ile morin<br />

Ile bouet<br />

Banc de sable<br />

Les courbes granulométriques des sables du fleuve Comoé présentent plusieurs allures (Figure 3).<br />

L'application du test de VISHER (1969) aux sédiments de l’estuaire du fleuve Comoé indique que les<br />

sables sont transportés majoritairement par saltation (environ 75%). Le transport par charriage qui<br />

vient au second plan représente une proportion relativement faible (environ 15%), de même que le<br />

transport en suspension qui ne représente qu'environ 10%.<br />

Océan


823 Adopo Kouassi Laurent, Kouassi Kouakou Lazare, Wognin Ama Valérie Irma<br />

Monde Sylvain, Meledje N’Diaye Hermann and Aka Kouamé<br />

Figure 3: Courbes granulométriques de quelques échantillons de sables de l’estuaire du fleuve Comoé<br />

Suspension<br />

Saltation<br />

Charriage<br />

10000 1000<br />

100 diamètre( µm)<br />

%<br />

100<br />

95<br />

90<br />

85<br />

80<br />

75<br />

70<br />

65<br />

60<br />

55<br />

50<br />

45<br />

40<br />

35<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

10<br />

3.3. Morphoscopie et minéralogie des sables<br />

3.3.1. Morphoscopie du quartz<br />

L’observation à la loupe binoculaire des différents échantillons a permis de constater que la plupart des<br />

grains de sables observés sont ronds, luisants et anguleux luisants (Figure 4). Les grains ronds luisants<br />

sont dominants dans l’ensemble des stations (79 %). Cependant, autour des îles, les grains anguleux<br />

luisants sont dominants dans les sables (en moyenne 80 %).<br />

L’aspect anguleux luisants des grains de quartz dans la plupart des échantillons indique leur<br />

origine allochtone.<br />

Figure 4: Aspect des minéraux de l’estuaire du fleuve Comoé<br />

Grains ronds luisants Grains anguleux luisants<br />

st1<br />

st2<br />

st3<br />

st4<br />

st5<br />

st6<br />

st7<br />

st8


Spatial Distribution and Characterisation <strong>of</strong> the Sediments <strong>of</strong> the Estuary <strong>of</strong><br />

Comoe River (Grand-Bassam, Côte D’ivoire) 824<br />

3.3.2. Morphométrie du quartz<br />

La plupart des grains de sable de l’estuaire ont des indices d’aplatissement et des indices de<br />

dissymétrie relativement voisins, à l’exception de la radiale 5 ou on enregistre des valeurs plus élevées<br />

(Tableau II).<br />

Table II: Description de la morphométrie du quartz de l’estuaire du fleuve Comoé<br />

Position<br />

Longitude Latitude<br />

Indice d’aplatissement Indice de dissymétrie Origine des grains<br />

Radiale 1 429324 581026 1,05 0,58 lointaine<br />

Radiale 2 425629 580028 1,10 0,65 lointaine<br />

Radiale 3 421485 577981 1,11 0,45 lointaine<br />

Radiale 4 420085 577132 1,10 0,56 lointaine<br />

Radiale 5 420636 577931 2,30 0,89 proche<br />

Radiale 6 420087 576384 1,98 0,55 lointaine<br />

Radiale 7 419488 575584 1,15 0,55 lointaine<br />

Radiale 8 419887 574836 1,15 0,35 lointaine<br />

3.3.3. Minéralogie<br />

L’analyse minéralogique des échantillons de sables de l’estuaire du fleuve Comoé fait ressortir un<br />

spectre minéralogique caractérisé par un ensemble de minéraux lourds et de minéraux légers (Figure<br />

5). Les minéraux lourds rencontrés dans la fraction sableuse sont essentiellement des nésosilicates<br />

grenat (2%), on trouve aussi des inosilicates représentés par l’amphibole (2%) et le pyroxène (4%), du<br />

cyclosilicate représenté par la tourmaline jaune (3%) et du sorosilicate représenté par l’épidote (2%).<br />

Parmi les minéraux légers, on retrouve des tectosilicates représentés par le quartz (77%) et le<br />

feldspath (3%). On rencontre aussi du phyllosilicate représenté par le micas (7%).<br />

Figure 5: Cortège minéralogique de sédiment de l’estuaire du fleuve Comoé<br />

Tourmaline<br />

3%<br />

Pyroxène<br />

4%<br />

Micas<br />

7%<br />

Feldspath<br />

3%<br />

Grenat<br />

2%<br />

Amphibole<br />

2%<br />

Epidote<br />

2%<br />

Quartz<br />

77%


825 Adopo Kouassi Laurent, Kouassi Kouakou Lazare, Wognin Ama Valérie Irma<br />

Monde Sylvain, Meledje N’Diaye Hermann and Aka Kouamé<br />

4. Discussion<br />

Les analyses granulométriques et minéralogiques montrent que la distribution des sédiments n’est pas<br />

homogène dans l’estuaire de la Comoé. Les vases et les sables fins se localisent aux voisinages des îles<br />

et des berges, zones fortement colonisées par les végétaux aquatiques envahissants. La présence de<br />

vases sur les berges peut s’expliquer par la décomposition suivie de la sédimentation des végétaux<br />

aquatiques et de la végétation en bordure du cours d’eau. Par ailleurs, les vitesses des courants qui sont<br />

relativement faibles sur les berges favorisent la décantation des matières organiques.<br />

La localisation des sables moyens et grossiers dans le lit du fleuve Comoé peut s'expliquer par<br />

l'énergie du courant qui paraît relativement plus importante dans cet axe dont la pente est plus<br />

accentuée que les autres parties du fleuve. Dans la partie amont de l’estuaire et notamment dans le bras<br />

du fleuve (vers yaou), les sables sont plus grossiers qu’en aval (vers l’embouchure). En effet, la<br />

fermeture de l’embouchure crée un plan d’eau où les actions hydrodynamiques sont relativement<br />

faibles. KOUASSI (2007) et KOUASSI et al. (2007) rapportent qu’à l’entrée des plans d’eau les<br />

éléments grossiers se déposent à la suite d’une diminution de la compétence du transport des cours<br />

d’eau.<br />

L’analyse minéralogique des sables révèle la présence de minéraux lourds tels l’amphibole<br />

(actinote, hornblende), le rutile, la limonite, le diopside et le zircon. La présence de minéraux légers,<br />

notamment le quartz et les feldspaths, dans chaque sédiment est aussi remarquable. Ces minéraux font<br />

partie de ceux décrits par BROCHE et al. (1977) dans la partie supérieure du bassin versant du fleuve<br />

Comoé. La répartition des minéraux révèle une origine continentale détritique issue des formations de<br />

l'arrière-pays.<br />

L’examen morphoscopique montre l’omniprésence des grains arrondis luisants dans l’ensemble<br />

de l’estuaire. Ce qui met en évidence l’influence du transport par l’eau des sédiments et de la<br />

dynamique fluviale. Les valeurs des différents indices d’aplatissement et de dissymétrie montrent que<br />

les grains de sables rencontrés dans l’estuaire ont subi un transport fluviatile sur une longue distance.<br />

Ce qui confirme les résultats de l’étude morphoscopique. Toutefois, les échantillons prélevés aux<br />

voisinages de l’île Morin (radiale 5) sont anguleux et ont leurs indices d’aplatissement et de<br />

dissymétrie élevés. Ce qui montre ces sables sont issus de l’altération des roches en place.<br />

5. Conclusion<br />

Les analyses granulométrique et minéralogique ont montré que les sédiments rencontrés dans l’estuaire<br />

du fleuve Comoé sont constitués de vases, de sables fins, de sables moyens et de sables grossiers. Ces<br />

sables sont majoritairement moyens à grossiers en amont de l’estuaire et fins à très fins vers<br />

l’embouchure.<br />

L’aspect arrondi et luisant des grains de sables dans la plupart des échantillons prélevés montre<br />

que les sables rencontrés dans l’estuaire proviennent de la partie amont du bassin et ont été transportés<br />

sur une distance relativement longue par l’eau.<br />

Le cortège minéralogique renferme à la fois des minéraux lourds tels que l’amphibole (actinote,<br />

hornblende), la tourmaline, le diopside et l’épidote et des minéraux légers parmi lesquels le quartz est<br />

le plus abondant. Cette étude a montré que la distribution des sédiments n’est pas homogène dans<br />

l’estuaire du fleuve Comoé. Les vases et les sables fins se retrouvent du aux voisinages des berges et<br />

près de l’île Bouet représentant les zones fortement occupées par les végétaux aquatiques envahissants.<br />

Les travaux se poursuivent dans le but d’étudier les facteurs influençant la répartition spatiale<br />

des sédiments dans l’estuaire du fleuve Comoé et prévoir l’évolution, à moyen et long terme, des<br />

phénomènes de sédimentation. Les résultats devraient permettre de simuler, à terme, le fonctionnement<br />

hydrosédimentaire de l’embouchure du fleuve Comoé.


Spatial Distribution and Characterisation <strong>of</strong> the Sediments <strong>of</strong> the Estuary <strong>of</strong><br />

Comoe River (Grand-Bassam, Côte D’ivoire) 826<br />

6. Remerciements<br />

Cette recherche a fait l’objet d’un soutien financier et logistique de la Fondation Internationale pour la<br />

Science (IFS, Suède). Nous adressons nos sincères remerciements à cette institution pour sa<br />

contribution à nos travaux.<br />

References<br />

[1] ABE J. (1995). Etude comparative de la dynamique sédimentaire aux embouchures des fleuves<br />

du littoral ivoirien. Proc. Int. Conf. “Costal change 95“ Bordomer-IOC, Bordeaux: 347-363.<br />

[2] ABE J. (2005). Contribution à la connaissance de la morphologie et de la dynamique<br />

sédimentaire du littoral Ivoirien (cas du littoral d’Abidjan): Essais de modélisation en vue d’une<br />

gestion rationnelle, Thèse de doctorat d’Etat Sc. Nat. Abidjan. 309p.<br />

[3] ABE J., BAKAYORO S., BAMBA S., CISSOKO S. (1996). L’hydrologie de l’estuaire du<br />

Comoé à Grand-Bassam (Côte d’Ivoire) Agronomie Africaine. <strong>Journal</strong> ivoirien d’océanologie<br />

et de liminologie. 8 (3): 201-212.<br />

[4] AMEY K. B., BEDJA K., NEGLO K. (2007). Distribution longitudinale de la granulométrie du<br />

sable littorale togolais: grain moyen, sorting index et skewness. <strong>Journal</strong> des Sciences pour<br />

l’Ingénieur. N°8: 1 - 8.<br />

[5] AVENARD J.M. (1971). Aspect de la géomorphologie. in: "Le milieu naturel de Côte<br />

d’Ivoire", mém. ORSTOM, Paris, n° 50: 1-72.<br />

[6] BROCHE., CASSANOVA R., LOUP G. (1977). Atlas des minéraux en grain Identification par<br />

photographies en couleurs, 171 pp.<br />

[7] DELOR C., DIABY et TASTET J-P. (1992). Notice explicative de la carte géologique de la<br />

Côte d’Ivoire à 1/200.000, feuille Grand-Bassam, mémoire de la Direction de la géologie de<br />

Côte d’Ivoire, n°4, Abidjan Côte d’Ivoire.<br />

[8] FOLK R. L. (1974). Petrology <strong>of</strong> sedimentary rocks. Austin, Texas: Hemphills, 182 P.<br />

[9] FRIEDMAN G. M. (1967). Dynamic processes and statistical parameters compared for size<br />

frequency distribution <strong>of</strong> beach and river sands. <strong>Journal</strong> <strong>of</strong> Sedimentary petrology 37(2): 327-<br />

354.<br />

[10] KOFFI. K & ABE J. (1991). Contribution à l’étude des modifications hydro-sédimentaires<br />

consécutives à la réouverture artificielle de l’embouchure du Comoé à Grand-Bassam. <strong>Journal</strong><br />

Ivoirien d’Océanologie et Limnologie: Vol. 1, n°2, 47-60.<br />

[11] KOUASSI K. L. 2007. Hydrologie, transport solide et modélisation de la sédimentation dans<br />

les lacs des barrages hydro-électriques de Côte d’Ivoire: cas du lac de Taabo (Côte d’Ivoire).<br />

Thèse de doctorat, Univ. d’Abobo-Adjamé, 209p.<br />

[12] KOUASSI K. L., Wognin A. V. I., Gnagne T., N’go Y. A., Courivaud J-R, Kassy P., Demé M.<br />

& Aka K., 2007. Caractérisation des sables et morphologie du fond du lac du barrage<br />

hydroélectrique de Taabo (Côte d’Ivoire). Science & Nature, 4(1): 93-103.<br />

[13] LE NORMANT C. (1995). Modélisation numérique tridimensionnelle des processus de<br />

transport des sédiments cohésifs en environnement estuarien. Thèse de doctorat, Institut<br />

National Polytechnique de Toulouse; spécialité physique et chimie de l’environnement.<br />

N°1002, 253p.<br />

[14] PERRAUD A. (1971). Les sols. in: "Le milieu naturel de Côte d’Ivoire". Mém. ORSTOM,<br />

Paris, n°50: 265-391.<br />

[15] SAAIDI E. (1991). Traité de sédimentologie. Pétrographie, environnements sédimentaires.<br />

Edition Ellipes, 393p.<br />

[16] SANKARE Y., ETIEN N. (1991). Analyse des effets de l’ouverture du chenal de Grand<br />

Bassam (estuaire du fleuve Comoé, Lagune Ebrié) sur la macr<strong>of</strong>aune benthique lagunaire.<br />

<strong>Journal</strong> Ivoirien d’Océanologie et Limnologie, 1 (2): 81-90.


827 Adopo Kouassi Laurent, Kouassi Kouakou Lazare, Wognin Ama Valérie Irma<br />

Monde Sylvain, Meledje N’Diaye Hermann and Aka Kouamé<br />

[17] SANKARE Y., KOTHIAS A. J-B., KONAN A. A. (1991). Les effets de la réouverture de<br />

l’embouchure du fleuve Comoé sur la végétation littorale lagunaire (Lagune Ebrié – Côte<br />

d’Ivoire). <strong>Journal</strong> Ivoirien d’Océanologie et Limnologie, 1 (2): 71-79.<br />

[18] TASTET J. P. (1979): Environnements sédimentaires et structuraux quaternaires du littoral du<br />

Golfe de Guinée (Côte d’Ivoire, Togo et Bénin). Thèse de doctorat, Univ. Bordeaux I, n°621,<br />

175p.<br />

[19] VISHER G.S. (1969). Grain-size distributions and depositional processes. <strong>Journal</strong> <strong>of</strong><br />

Sedimentary Petrology 39(3): 1074-1106.<br />

[20] WOGNIN A. V. I. (2004). Caractérisation hydrologique et sédimentologique de l’embouchure<br />

du fleuve Bandama. Thèse de doctorat, Univ. de Cocody, 198p.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.828-835<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Blind SIMO GSM Channel Identification<br />

Taba Mohamed Tahar<br />

LAIG Laboratory, Guelma University, Algeria<br />

E-mail: mttaba@yahoo.fr<br />

S. Femmame<br />

LACSC Laboratory, ECE Paris, France<br />

D. Mossadeg<br />

Electronic Department, Annaba University, Algeria<br />

Abstract<br />

The bandwidth efficiency <strong>of</strong> many communication systems could be improved if<br />

the transmission channel was estimated blindly, i.e. without resort to training sequences.<br />

GMSK is a spectrum-efficient modulation scheme, and it is adopted as the modulation<br />

standard <strong>of</strong> GSM systems. However, because <strong>of</strong> its phase modulation, Gaussian filtering,<br />

and partial response signalling properties, GMSK is not a linear modulation. Linear<br />

approximation <strong>of</strong> the GMSK signal makes the blind equalization system model applicable<br />

for GSM. In this paper, we present a linear approximation <strong>of</strong> GMSK signals and we<br />

propose a blind GSM channel identification algorithm based on the cross relation method.<br />

Keywords: GMSK modulation, blind identification, GSM channels, SIMO system.<br />

1. Introduction<br />

The Pan-<strong>European</strong> cellular standard <strong>of</strong> GSM uses a time division multiple access (TDMA) scheme,<br />

where each frequency band is shared by 8 users allocated with 8 time slots. During each time slot<br />

(approximately 0.577ms), a 142-bit burst is transmitted, in which two 58-bit streams <strong>of</strong> information<br />

data are separated by a training midamble. The 26-bit training midamble can be used by receivers to<br />

identify the unknown linear channel impulse response that includes transmitter filter, physical channel,<br />

and receiver filter. This training sequence represents a sizable overhead that reduces the overall system<br />

efficiency. If blind /semi-blind equalization [5] can eliminate part <strong>of</strong> the entire training overhead while<br />

maintaining the system performance at an acceptable level, it can significantly improve the system<br />

efficiency.<br />

In this study, we first present a new blind channel identification algorithm based on the cross<br />

relation method [1]. We note that blind channel identification algorithms based on SOS are sensitive to<br />

channel order mismatch [2], which is very common in wireless environment.<br />

The rest <strong>of</strong> our paper is organized as follows. Section 2 describes an approximated linear model<br />

for the nonlinear Gaussian shift keying modulation (GMSK) used in GSM. In section 3, we expose<br />

method <strong>of</strong> extracting channel diversity from linear GMSK system. In section 4, we introduce the blind<br />

channel identification algorithm based on the cross relation. And in section 5, simulation results are<br />

presented.


Blind SIMO GSM Channel Identification 829<br />

2. GMSK Approximation<br />

The impulse response <strong>of</strong> the Gaussian LPF h(t) is:<br />

2<br />

σ ⎛ − σ 2 ⎞<br />

h(<br />

t)<br />

= exp ⎜ t ⎟<br />

B 2π<br />

⎝ 2 ⎠<br />

Where<br />

(1)<br />

σ = 2πB ln 2 , with BT = 0.3 for GSM.<br />

B is the 3 dB bandwidth <strong>of</strong> the filter. The square pulse response g(t) <strong>of</strong> the Gaussian LPF is:<br />

⎛ t ⎞<br />

g ( t)<br />

= h(<br />

t)<br />

* rect⎜<br />

⎟<br />

⎝ T ⎠<br />

Where the rectangular function rect(x) is defined by:<br />

⎧<br />

⎛ t ⎞ ⎪1<br />

,<br />

rect⎜<br />

⎟ = ⎨ T<br />

⎝ T ⎠ ⎪<br />

⎩0,<br />

T<br />

for t <<br />

2<br />

Otherwise<br />

The pulse response g(t) can be written as<br />

1 ⎡ ⎛ ⎞ ⎛ ⎞⎤<br />

⎢ ⎜<br />

t −T<br />

2<br />

⎟ ⎜<br />

t + T 2<br />

g( t)<br />

= Q 2π<br />

BT −Q<br />

2πBT<br />

⎟⎥<br />

2T<br />

⎢<br />

⎜ ⎟ ⎜ ⎟<br />

⎣ ⎝ T ln( 2)<br />

⎠ ⎝ T ln( 2)<br />

⎠⎥⎦<br />

Where Q (t) is the Q-function<br />

(2)<br />

Q(<br />

t)<br />

=<br />

∞<br />

2<br />

1 ⎛<br />

∫ exp⎜<br />

τ<br />

π ⎜<br />

−<br />

2<br />

2<br />

t ⎝<br />

⎞<br />

⎟<br />

dτ<br />

⎠<br />

(3)<br />

Consequently, the continuous phase modulation (CPM) pulse is the integral<br />

t<br />

∫ ∞<br />

−<br />

ψ ( t) = g(<br />

τ − 2T<br />

) dτ<br />

(4)<br />

In GSM system, the GMSK parameter BT=0.3 is chosen so that:<br />

⎧0,<br />

t ≤ 0;<br />

ψ ( t)<br />

≈ ⎨<br />

(5)<br />

⎩1,<br />

t ≥ 4T.<br />

The baseband signal <strong>of</strong> GMSK modulation is:<br />

⎡<br />

⎤<br />

= ⎢ ∑ − ⎥<br />

⎣<br />

⎦<br />

∞ π<br />

s ( t)<br />

exp j ( t nT)<br />

n 2 α ψ<br />

(6)<br />

n=<br />

−∞<br />

In witch α = ± 1 is the binary data for transmission. Because, existing blind equalization<br />

n<br />

algorithm rely on linear system models, linear approximation <strong>of</strong> the GMSK signal becomes the<br />

necessary first step. Following the approach used in [1] for linear QAM approximation <strong>of</strong> the GMSK<br />

signal used in GSM, we take the first approximation step:<br />

⎡<br />

⎤<br />

= ⎢ ∑ − ⎥<br />

⎣<br />

⎦<br />

∞ π n−4<br />

n<br />

s ( t)<br />

exp j ψ ( t nT)<br />

⎛ π ⎞ ⎡ π<br />

⎤<br />

n 2 α ≈ exp⎜ j ∑ ⎟ ∏ exp<br />

⎢<br />

j ( t − kT )<br />

k<br />

k ⎥<br />

n=<br />

−∞<br />

⎝ 2 α ψ<br />

k = −∞ ⎠k<br />

= n−3<br />

⎣ 2α<br />

(7)<br />

⎦<br />

t Є [nT, (n+1)T).<br />

Equation (7) becomes the basis <strong>of</strong> linear approximation. It can be seen that there are 16<br />

different terms in the product expansion <strong>of</strong> (7). Among the 16 different linear pulses, however, only<br />

two pulses are significant while the others are nearly all zero. Retaining these two most significant<br />

pulses, the linear approximate model for GMSK with BT = 0.3 is:<br />

∞<br />

∞<br />

s( t)<br />

= ∑a<br />

( t nT )<br />

( t nT )<br />

0,<br />

h − +<br />

n 0 ∑a1<br />

, nh<br />

−<br />

(8)<br />

1<br />

n=<br />

−∞<br />

n=<br />

−∞<br />

Where


830 Taba Mohamed Tahar, S. Femmame and D. Mossadeg<br />

⎡<br />

π<br />

0<br />

n<br />

exp j<br />

⎣ 2 n=<br />

−∞<br />

= −α<br />

nα n−1a<br />

0,<br />

n−2<br />

⎦<br />

−1<br />

a = j<br />

, n ⎢ ∑α n⎥<br />

= α na<br />

0,<br />

n<br />

⎡<br />

π<br />

a = j<br />

j<br />

, n α n ⎢ ∑α = n⎥<br />

α na<br />

0,<br />

n<br />

j exp 1 −2<br />

2 n=<br />

−∞<br />

n<br />

⎤<br />

⎤<br />

⎣ ⎦<br />

In other words, the GMSK signal can be approximated with almost no error by the sum <strong>of</strong> two<br />

QAM signals with pulse shapes h0(t) and h1(t). These two pulses in the linear approximation [3], are<br />

shown in figure 1.<br />

For the case L = 4, BT=0.3,<br />

h0 ( t)<br />

= β ( t − 4T<br />

) β ( t − 3T<br />

) β ( t − 2T<br />

) β ( t − T )<br />

0 ≤ t≤ 5T<br />

(9)<br />

h 1(<br />

t)<br />

= β ( t − T)<br />

β ( t − 2T<br />

) β ( t − 4T<br />

) β ( t + T)<br />

0 ≤ t ≤ 3T<br />

With,<br />

(10)<br />

⎧sin[<br />

πh<br />

−πhψ<br />

( t)]<br />

⎪<br />

,<br />

sin( πh)<br />

⎪<br />

β ( t) = ⎨β<br />

( −t),<br />

⎪<br />

0,<br />

⎪<br />

⎩<br />

With h=0.5 β(t) becomes:<br />

tε<br />

[ 0,<br />

LT )<br />

tε<br />

( LT , 0]<br />

t ≥ 0<br />

(11)<br />

π ⎧cos(<br />

2 g(<br />

t))<br />

⎪<br />

β ( t) = ⎨β<br />

( −t),<br />

⎪<br />

⎩0,<br />

tε<br />

[ 0,<br />

LT )<br />

1 t1Q<br />

( σ t1)<br />

−t2Q<br />

( σ t2)<br />

ψ(<br />

t)<br />

= +<br />

−...<br />

tε<br />

( LT , 0]<br />

2 2Tp<br />

2 2<br />

2 2<br />

exp( −σ<br />

/ 2)<br />

t exp( σ / 2)<br />

t ≥ 0<br />

1 − − t2<br />

−<br />

2Tσ<br />

2π<br />

(12)<br />

Tp<br />

Tp<br />

t1 = t − 2 , t 2 t + 2 , σ =<br />

Tp: sampling period.<br />

2πB = ln 2<br />

Figure 1: Represents two pulse shapes in the GMSK linear approximation. The power in h1(t) is 0.48% <strong>of</strong> the<br />

power in h0(t).<br />

h 1(t)<br />

Because the majority (99.5%) <strong>of</strong> signal energy in GMSK signal s(t) is contained in the first<br />

pulse approximation h0(t) figure 1, we can further simplify s(t) into a single QAM transmission<br />

∞<br />

= ∑ ( t − nT ), a =<br />

0<br />

n j na<br />

n<br />

n 1<br />

n=<br />

−∞<br />

s( t)<br />

a h<br />

α (13)<br />

−<br />

It can be noted that the approximation error may be viewed as an additive interference.<br />

Therefore, even in noiseless channels, the maximum signal-to-noise ratio (SNR) <strong>of</strong> this approximation<br />

h 0(t)<br />

p


Blind SIMO GSM Channel Identification 831<br />

is at 23dB [2].with this linear QAM quaternary phase shift keying (QPSK) approximation, existing<br />

blind equalization methods can be applied.<br />

For a physical channel impulse response hc(t) the combined linear approximation pulse is<br />

simply:<br />

as<br />

Figure 2: The composite channel response h(t) for equalizers.<br />

h(t) = hc(t) * h0(t). (14)<br />

The received GMSK signal is approximately:<br />

x(<br />

t)<br />

h(<br />

t − kT ) s(<br />

k)<br />

+ n(<br />

t)<br />

= ∑ +∞<br />

k = −∞<br />

Where n(t) is channel noise. The baud rate sampled discrete signals and responses are defined<br />

xi = x(<br />

iT ), hi<br />

= h(<br />

iT ), ni<br />

= n(<br />

iT )<br />

The channel output sequence is thus a stationary sequence:<br />

L<br />

x h a + n<br />

n = ∑<br />

k = 0<br />

k<br />

n−k<br />

n<br />

3. Channel Diversity<br />

For the single QPSK approximation <strong>of</strong> the GMSK signal, only sampling at higher than the baud rate<br />

will not generate the necessary channel diversity needed in all SOS methods for blind equalization due<br />

to the lack <strong>of</strong> excess bandwidth in the approximate pulse shape h0(t). Naturally, one can create channel<br />

diversity by adding antennas. Unfortunately, additional antenna unit requires extra RF receiver and<br />

significantly increases the hardware cost. Here we show how to reduce hardware cost by processing the<br />

received data so that two channel outputs can be extracted from a single received GMSK signal [6].<br />

We observe that an = jαnan-1 in the linear QPSK approximation <strong>of</strong> GMSK. However, the<br />

relationship actually indicates that at any given time, an can only select two values instead <strong>of</strong> four.<br />

Hence, an is a pseudo-QPSK and is realized by rotating a BPSK signal.<br />

( ∏ )( )<br />

− + M L 1<br />

n−k<br />

an− k = j<br />

n−l<br />

M + L−n<br />

α n−M<br />

−L<br />

j<br />

l=<br />

k −3<br />

Without loss <strong>of</strong> generality, let ( M + L−n<br />

j )<br />

(15)<br />

(16)<br />

α (17)<br />

α n−M<br />

−L<br />

be purely real (or imaginary). Then<br />

n−k<br />

a ~ ~<br />

n−k<br />

= j an−<br />

k , an−<br />

k = ± 1,<br />

(18)<br />

k = 0,...,<br />

M + L −1<br />

To extract channel diversity from the single-channel system (16), signal pre-processing based<br />

on special characteristics <strong>of</strong> the pseudo-QPSK input is necessary. Equation (16) can be transformed as:


832 Taba Mohamed Tahar, S. Femmame and D. Mossadeg<br />

L<br />

n = ∑<br />

k = 0<br />

k<br />

L<br />

n−k<br />

a~<br />

n−k<br />

n−k<br />

+ n = ∑ [ hk j ] an−<br />

k + ω n<br />

k = 0<br />

x h j ω<br />

As a result, we can obtain a new (derotated) sequence:<br />

~ x = x<br />

−n<br />

j<br />

n<br />

=<br />

n<br />

L<br />

∑<br />

k = 0<br />

−k<br />

n<br />

[ hk<br />

j ] a~<br />

−<br />

n−k<br />

+ j ω n<br />

~ (19)<br />

Derotation not only changes the GMSK detection into a simpler BPSK detection problem, it<br />

can also create channel diversity useful in blind equalization [1]<br />

Since { }<br />

n<br />

1<br />

n<br />

a ~ is real-valued sequence, we can induce two sub-channel outputs from (20):<br />

L<br />

{ ~<br />

−k<br />

−n<br />

x } = Re[<br />

h j ] a~<br />

+ Re[<br />

j ]<br />

n<br />

∑<br />

k=<br />

0<br />

x = Re ω<br />

x<br />

2<br />

n<br />

k<br />

n−k<br />

L<br />

{ ~<br />

−k<br />

−n<br />

x } = Im[<br />

h j ] a~<br />

+ Im[<br />

j ]<br />

∑<br />

k=<br />

0<br />

n−k<br />

n<br />

= Im ω (21)<br />

n<br />

k<br />

n<br />

Where the common input is a BPSK signal, i.e.<br />

~ = = ± 1.<br />

−<br />

a n<br />

n<br />

j an<br />

From the BPSK input data sequence, two sub-channels can be generated without over-sampling<br />

and extra antenna,<br />

{ } { } { } { } k<br />

1<br />

−k<br />

hk<br />

= Re( hk<br />

j ) and<br />

2<br />

−<br />

hk<br />

= Im( hk<br />

j<br />

We hence arrive at the familiar equation in SIMO [7] (Single Input / Multiple Output) models:<br />

X[k] = Hã[k] + n[k]<br />

Where:<br />

{ }<br />

[ ]<br />

{ [ ] } ,<br />

⎡Re<br />

x[<br />

k]<br />

⎤ { }<br />

x k = ⎢<br />

Im<br />

⎥<br />

⎣ x k ⎦ { } ,<br />

⎡Re<br />

H ⎤ { }<br />

H = ⎢<br />

Im<br />

⎥ []<br />

⎣ H ⎦ { [] } .<br />

⎡Re<br />

n[<br />

k]<br />

⎤<br />

n k = ⎢<br />

Im<br />

⎥<br />

⎣ n k ⎦<br />

(22)<br />

Re(<br />

k<br />

)<br />

k<br />

Im( h<br />

− share no common zeros [2].<br />

H will have full column rank if { } h − and { }<br />

4. Cross-Relation Method<br />

Consider a SIMO system <strong>of</strong> q outputs given by:<br />

= ∑<br />

=<br />

M<br />

k 0<br />

k j<br />

y(<br />

l)<br />

h(<br />

k)<br />

s(<br />

l − k)<br />

+ n(<br />

l)<br />

(23)<br />

The noise free outputs yi(k), 1≤ i≤ q are given by:<br />

yi(k) = hi(k) * s(k), 1≤ i≤ q (24)<br />

where “*” denotes convolution. Using commutativity <strong>of</strong> convolution, it follows:<br />

hj(k) * yi(k) = hi(k) * yj(k), 1≤ i


Blind SIMO GSM Channel Identification 833<br />

⎡<br />

⎢<br />

⎢<br />

Y(<br />

l)<br />

Y ⎢ l =<br />

⎢<br />

⎢<br />

⎢<br />

⎣ 0<br />

•<br />

Y(<br />

l−1)<br />

•<br />

0<br />

Y(<br />

l)<br />

0 ⎤<br />

− Y<br />

⎥<br />

( 1)<br />

⎥<br />

• ⎥<br />

⎥<br />

• ⎥<br />

− Y ⎥<br />

( l−1)<br />

⎦<br />

(27)<br />

With l = 3,…,q and:<br />

⎡ yl<br />

( M )<br />

⎢<br />

⎢<br />

•<br />

Y ⎢ ( l ) = •<br />

⎢<br />

⎢ •<br />

⎢<br />

⎣y<br />

l ( N −1)<br />

•<br />

•<br />

•<br />

•<br />

•<br />

•<br />

yl<br />

( 0)<br />

⎤<br />

•<br />

⎥<br />

⎥<br />

• ⎥<br />

⎥<br />

• ⎥<br />

y ( N − M −1)<br />

⎥<br />

l ⎦<br />

(28)<br />

In the presence <strong>of</strong> noise, equation (26) can be naturally solved in the least- square (LS) [4]<br />

sense according to:<br />

ˆ<br />

H H<br />

= argminh<br />

Y Y h<br />

(29)<br />

hCR q q<br />

h = 1<br />

5. Simultion Results<br />

We now present simulation results <strong>of</strong> GSM blind identification. A GMSK pulse <strong>of</strong> four symbols was<br />

generated and bandwidth BT=0.3. The bit rate is 27 kb/s.<br />

Figure 3: Estimation <strong>of</strong> propagation channel.<br />

s(t): transmitted signal BPSK<br />

n(t): additive noise<br />

h(t): combined filter [h(t)=h0(t)*hc(t)]<br />

Figure 3 represents the estimated impulse response <strong>of</strong> the propagation channel for COST-207<br />

[6]. Figure 4 represents the relative error estimation for training method and blind method.


834 Taba Mohamed Tahar, S. Femmame and D. Mossadeg<br />

Figure 4: Impulse response <strong>of</strong> channels COST-207 Mobil canal model for TYPICAL URBAN and RURAL<br />

AREA<br />

Figure 5: Relative error for canal estimation<br />

6. Conclusion<br />

In this paper, we have addressed the problem <strong>of</strong> blind channel equalization, based on the Cross-<br />

Relation method with the exploitation <strong>of</strong> the linearization <strong>of</strong> the GMSK signal used in GSM systems.<br />

The simulation results show great potential <strong>of</strong> blind identification algorithms in GSM, since we have<br />

used no extra antenna or over-sampling the received signal. This method is <strong>of</strong> great importance since<br />

we can use the 10 bits in the midamble <strong>of</strong> the burst GSM signal to transmit information.


Blind SIMO GSM Channel Identification 835<br />

References<br />

[1] Karim Abed-Meraim, Wanzhi Qiu, and Yingbo Hua, “Blind System Identification”,<br />

Proceedings <strong>of</strong> the IEEE, pp. 1310:1322, AUGUST 1997<br />

[2] Zhi Ding and Ge Li, “Single Channel Blind Equalization for GSM Cellular Systems,” IEEE<br />

<strong>Journal</strong> on Selected Areas in Communications, Vol. 16, No. 8, Oct. 1998.<br />

[3] Ghassan Kawas Kaleh, “Simple Coherent Receivers for Partial Response Continuous Phase<br />

Modulation,” IEEE <strong>Journal</strong> on Selected Areas in Communications, vol. 7, NO. 9, December<br />

1989<br />

[4] A. Aïssa-El-Bey, M. Grebici, K. Abed-Meraim and A. Belouchrani, “Blind System<br />

Identification Using Cross-Relation Methods: Further Results And Developments,” 7 th<br />

International Symposium on Signal Processing and its Applications (ISSPA), vol. 1, pp. 649-<br />

652, Paris, France, July, 2003.<br />

[5] CICHOCKI Andrzej, AMARI Shun-ichi, “Adaptive Blind Signal and Image Processing:<br />

Learning Algorithms and Applications”, Willey 2001.<br />

[6] P. Hoeher, “A Statistical Discrete-Time Model for the WSSUS Multipath Channel,” IEEE<br />

Transactions on Vehicle Technology, vol.41, pp. 461-468, Nov. 1992.<br />

[7] Jingdong Chen; Nteng Huang; Benesty, J, “An adaptive blind SIMO identification approach to<br />

joint multichannel time delay estimation”, Acoustics, Speech, and Signal Processing, 2004.<br />

Volume 4, Issue, 17-21 May 2004


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.836-843<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

The Chemical Control <strong>of</strong> the Pests in the Truck Farming and the<br />

Quality <strong>of</strong> Vegetables in African Urban Cities: The Health<br />

Hazards and Security <strong>of</strong> Consumers<br />

Dembele Ardjouma<br />

Laboratoire Central d’Agrochimie et d’Ecotoxicologie, Lanada 04 BP 612<br />

Abidjan 04 Cote D’ivoir<br />

E-mail: ardjouma@yahoo.fr, labeco@aviso.ci<br />

Tel: 00 225 05 95 95 72/ 00225 20 22 5838; Fax: 00 225 22 52 31 61<br />

Oumarou Badini<br />

Washington State University 206 Bryan Hall PO Box 645121<br />

Pullman, WA 99164-5121<br />

Traore Sory Karim<br />

UFR des Sciences et Gestion de l’Environnement, Université d’Abobo-Adjamé 02 B.P<br />

801 Abidjan 02 (Côte d’Ivoire)<br />

Mamadou Koné<br />

UFR des Sciences et Gestion de l’Environnement, Université d’Abobo-Adjamé 02 B.P<br />

801 Abidjan 02 (Côte d’Ivoire)<br />

Coulibaly D. Ténébé<br />

UFR des Sciences de la Nature/Protection des Végétaux et de l’Environnement<br />

Université d’Abobo - Adjamé, 02 B.P. 801 Abidjan 02/Cote D’ivoire<br />

A. Abba Toure<br />

Département Environnement et Santé, Institut Pasteur, B.P. V 34 Abidjan<br />

Abstract<br />

The truck farming vegetables such as lettuce, spinach and turnip are attacked by<br />

several pests, making the use agrochemicals necessary to get a good quality and high<br />

production. The Spraying <strong>of</strong> pesticides such as Deltamethrin, Cypermethrin, Acephate and<br />

Maneb allow the control <strong>of</strong> almost all insect pests and fungus diseases. The quality <strong>of</strong> the<br />

production can be compromised by the microbial contamination <strong>of</strong> these vegetables from<br />

irrigated water and accumulation <strong>of</strong> pesticides in residues, because producers don’t respect<br />

good agricultural practices.<br />

There is a need for the truck farming sector to comply with current phytosanitary<br />

regulations and quality control <strong>of</strong> marketed vegetables in order to protect consumers from<br />

health hazards.<br />

Keywords: Agrochemicals, biotechnology, phytosanitary, regulation, residues.


The Chemical Control <strong>of</strong> the Pests in the Truck Farming and the Quality <strong>of</strong><br />

Vegetables in African Urban Cities: The Health Hazards and Security <strong>of</strong> Consumers 837<br />

Introduction<br />

Horticulture is a vital economic sector for most African countries. In Côte d’Ivoire, this sector is<br />

confronted to pests’ attacks and phytosanitary problems. It needs to comply to the pesticides<br />

regulations and the quality control (traceability) which are now required by most industrials and export<br />

countries. The study was conducted in the “M’POUTO village” on the surroundings <strong>of</strong> the Ebrié<br />

lagoon in Abidjan, the economic capital <strong>of</strong> Côte d’Ivoire. The main objective <strong>of</strong> this study is to assess<br />

the impact <strong>of</strong> pest on truck farming Lettuce, Spinach, and Turnip, and the application <strong>of</strong> agrochemicals<br />

for plant protection, and the quality <strong>of</strong> irrigation water. The specific objectives are (1) to evaluate the<br />

impact <strong>of</strong> agrochemicals application on plants pests, (2) to determine their economic incidence, (3) to<br />

monitor irrigation water quality, and (4) to control some essential production factors which are<br />

indicators <strong>of</strong> a good standard quality production.<br />

Materials And Methods<br />

Plant material<br />

The Lettuce, Lactuca sativa L. (Asteraceae or Compositaceae) is the more consumed vegetable in<br />

the world. There are approximately 149 varieties worldwide [1]. There are two main classes <strong>of</strong> lettuce:<br />

non-head forming lettuces such as the “celtuce” or “lettuce - asparagus” and the head-forming lettuces<br />

such as the “Batavia” or “curly” cabbage lettuce.<br />

Seeds germination is normal between 0°C and 25°C, and sunlight plays a major role in the<br />

growth and the development process.<br />

Lettuce has a high water demand [2], and grows well in different types <strong>of</strong> soils presenting a<br />

steady structure with good water holding capacity. In general, lettuce is a moderately heavy consumer<br />

<strong>of</strong> nutrients. Seedlings <strong>of</strong> lettuce are planted at 2 to 4 leaf-stage in well-prepared seedbeds (trays <strong>of</strong><br />

earth) ploughed at depth and mixed to manure. The application <strong>of</strong> fertilizer (NPKS) is <strong>of</strong>ten necessary<br />

and must be incorporated in the soil before planting. The growth cycle is very variable (45 to 100 days)<br />

depending on the variety. Agrochemicals applications (insecticides and fungicides) on the lettuce<br />

cultures against the pest attacks are <strong>of</strong>ten done in the middle and end <strong>of</strong> cultural cycle.<br />

The spinach, Spinacia oleracea L. (Chénopodiaceae), is named “the prince <strong>of</strong> vegetables”. It<br />

is an annual plant generally cultivated as biennial in the vegetable exploitations gardens. The plant<br />

develops initially, on a very short axis, a rosette constituted <strong>of</strong> fifteen (15) to twenty (20) leaves. These<br />

leaves are lengthily petiolate with full limb more or less blighted. Mineral fertilization (NPK) is <strong>of</strong>ten<br />

necessary according to expected yields. But the poultry’s liquid manures and dejections abundantly<br />

brought are very largely sufficient to face exports <strong>of</strong> mineral elements. Watering must be sufficiently<br />

abundant to satisfy the water needs <strong>of</strong> the plant. The diseases and pest management <strong>of</strong> the plants must<br />

be carefully and frequently controlled so [3], the weedings are very important and a thinning can be<br />

practiced in case <strong>of</strong> a very dense germination and seedlings. Spinach usually matures in 35 to 45 days.<br />

The plant may be harvested from the time there are 5-6 leaves on the plant right before the seed stalk<br />

develops. The phytosanitary protection <strong>of</strong> the plants intervenes in middle and end <strong>of</strong> cycle.<br />

The turnip, Brassica rapa L. var. rapa, (Brassicaceae) is produced in specialized market<br />

gardening. The plant is normally bi-annual. In its vegetative stage it is constituted <strong>of</strong> a basal rosette<br />

made <strong>of</strong> about fifteen leaves with real green limb and bristling with rough hairs.<br />

According to the varietal type, it has a tuberous root <strong>of</strong> flattened, conical or cylindrical form<br />

and <strong>of</strong> variable color (white, yellow, black or two-tone).<br />

One notes about thirty varieties but the range <strong>of</strong> the varieties currently cultivated is rather<br />

restricted (Tokyo hybridizes F1, Chinese turnip). Turnips are primarily cultivated in full field by direct<br />

seeding on fertile well-prepared seedbeds is also possible. The needs in mineral elements are important<br />

and sustained fertilization (NPK) is needed before planting and during the growth cycle.


838 Dembele Ardjouma, Oumarou Badini, Traore Sory Karim,<br />

Mamadou Koné, Coulibaly D. Ténébé, A. Abba Toure<br />

The application <strong>of</strong> manure must be done on the precedent crop. The growth cycle is 40 - 70<br />

days dependent on climatic conditions and varieties. Turnips are harvested as young roots by<br />

successive thinnings. The diseases control and protection <strong>of</strong> turnips must be regular due to frequent<br />

pest attacks.<br />

Agrochemicals material[4]<br />

Deltamethrin: Trade name DECIS (K -OTHRINE)<br />

Molecular formula: C22H19Br2NO3<br />

(S)- α-cyano-3-phenoxybenzyl (1R,3R)-3-(2,2-dibromovinyl)-2,2-dimethylcyclopropane<br />

carboxylate (IUPAC)<br />

structural formula:<br />

Decis 25 EC is an emulsifiable concentrate <strong>of</strong> formulation (25g/l). It is approved for a wide<br />

variety <strong>of</strong> insects including acarina, thysanoptera and arthropods pests <strong>of</strong> the horticultural plants.<br />

We made a first application on the salad lettuce at the stage 27 days with an amount <strong>of</strong><br />

treatment <strong>of</strong> 0.042 g/l (25 l <strong>of</strong> Decis in 15 l <strong>of</strong> water) for 400 m 2 .<br />

The stage 39 days: corresponds to the second treatment by Deltamethrin with the same<br />

concentration <strong>of</strong> 0,042 g/l and by Maneb with the concentration <strong>of</strong> 5 g/l representing 93,75 grams <strong>of</strong><br />

CALLIMAN 80 WP for the sprayer <strong>of</strong> 15 liters for 400 m 2 .<br />

The stage 45 days: corresponds to the third treatment by Maneb with the same concentration <strong>of</strong><br />

5 g/l.<br />

For turnip, at the stage 18 days we have done the first treatment by Deltamethrin with the<br />

concentration <strong>of</strong> 0,025 g/l (15 milliliters <strong>of</strong> DECIS 25 EC in 15 liters <strong>of</strong> water) for 400 m 2 .<br />

The Stage 30 days: corresponds to the second treatment by Deltamethrin with the same<br />

concentration <strong>of</strong> 0,025 g/l and by Maneb with the concentration <strong>of</strong> 5 g/l representing 93,75 grams <strong>of</strong><br />

CALLIMAN 80 WP for the sprayer <strong>of</strong> 15 liters. The Stage 38 days <strong>of</strong> turnips received the same<br />

treatment as the stage 30 days.<br />

Cypermethrin: Trade name Cypercal 50 EC<br />

Molecular formula: C22H19C12NO3<br />

(RS)-I-cyano-3-phenoxybenzyl (1RS)-cis-trans-3-<br />

(2,2-dichlorovinyl)-2,2-dimethylcyclopropanecarboxylate (IUPAC)<br />

Structural formula:<br />

Cypermethrin 50 EC is an emulsifiable concentrate <strong>of</strong> formulation (50 g/l). It is approved for a<br />

broad spectrum <strong>of</strong> harmful insects (Caterpillars, Thrips, Heliothis and white flies). We carried out the<br />

first application on spinaches at the stage 18 days, the amount <strong>of</strong> application is <strong>of</strong> 0.133 g/l (40 ml <strong>of</strong><br />

CYPERCAL 50 EC. in 15l <strong>of</strong> water) for 400 m 2 . At the stage 30 days the spinaches received an


The Chemical Control <strong>of</strong> the Pests in the Truck Farming and the Quality <strong>of</strong><br />

Vegetables in African Urban Cities: The Health Hazards and Security <strong>of</strong> Consumers 839<br />

amount <strong>of</strong> treatment <strong>of</strong> 0,133 g/l in addition to 5 g/l <strong>of</strong> maneb (93.75g <strong>of</strong> CALLIMAN 80 WP in 15 l<br />

<strong>of</strong> water) for 400 m 2 .<br />

Acephate : Trade name Orthen 75 SP<br />

Molecular formula : C4H10NO3PS<br />

O,S-dimethyl acetylphosphoramidothioate (IUPAC)<br />

Structural formula:<br />

Orthen 75 SP is a water-soluble powder <strong>of</strong> formulation 75% acephate. It is a systemic pesticide.<br />

Methadomiphos (C2H8O2NPS) is a metabolite <strong>of</strong> acephate and it is also systemic.<br />

Structural formula: O<br />

"<br />

CH3OPSCH3<br />

'<br />

NH2<br />

O,S,-dimethyl phosphoramidothioate (IUPAC)<br />

These two organophosphorous pesticides are both effective against a broad range <strong>of</strong> insect pests<br />

(sucking, biting, and mining insects) on such vegetable and crops as cabbages, cotton, tobacco, sugar<br />

beet, head lettuce. It is used as a pre-harvest spray at 0.5-1.5 kg/ha. With this amount, protection<br />

against the insects vermin is obtained from 7 to 21 days.<br />

The first application on lettuce is done at at stage 27 days with the amount <strong>of</strong> 2 g/l (40 g <strong>of</strong><br />

Orthen 75 SP in 15 l <strong>of</strong> water) for 400m 2 .<br />

At the stage 39 days the amount <strong>of</strong> treatment <strong>of</strong> lettuce is 2 g/l in addition to 5 g/l <strong>of</strong> maneb for<br />

400 m 2 .<br />

Maneb: Trade name Calliman 80 WP<br />

Molecular formula: C4H6N2S4Mn<br />

Manganese ethylene-1,2-bisdithiocarbamate (IUPAC)<br />

Structural formula:<br />

Calliman 80 WP is a wettable powder <strong>of</strong> formulation 80% <strong>of</strong> maneb (dithiocarbamate), an<br />

effective protective fungicide against the main foliar diseases(Anthracnose, Mildew, Alternaria,<br />

Rhizoctonia, cercospora, Sclerotinia and Septoria).<br />

It should be applied before and after seeding on all three vegetables at amount <strong>of</strong> 5 g/l.<br />

Moreover the salad lettuce received a treatment at the stage <strong>of</strong> 45 days.<br />

Plants phytopathology and pests monitoring<br />

After each treatment, every two (2) days we proceed:<br />

• to the description <strong>of</strong> the general characteristics <strong>of</strong> the plants, especially the leaves, and we look<br />

out for visible signs <strong>of</strong> attacks and diseased plants.<br />

• to the counting <strong>of</strong> the insects captured in the traps for follow-up <strong>of</strong> the dynamics <strong>of</strong> the<br />

recolonisation following the various treatments[5].


840 Dembele Ardjouma, Oumarou Badini, Traore Sory Karim,<br />

Mamadou Koné, Coulibaly D. Ténébé, A. Abba Toure<br />

The final identification <strong>of</strong> the fungus was made after observation <strong>of</strong> the samples under a<br />

microscope (enlarged to a size 400 times) and according to known keys <strong>of</strong> identification[6,7].<br />

Irrigated water monitoring<br />

We sowed under the fume hood raw water <strong>of</strong> boring in the Petri glass, on culture medium sterilized..<br />

The analysis consisted <strong>of</strong> identifying thermotolerant Coliform and faecal Streptococci and counting <strong>of</strong><br />

the colonies <strong>of</strong> red or pink coloring <strong>of</strong> 2 to 3 millimeters (mm) in diameter. The criterion <strong>of</strong> assessment<br />

is fixed to 2x10 3 .<br />

Results and Discussion<br />

Pests Numbers (N)<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

Coleoptera<br />

Graphic 1: Pests control on lettuce<br />

PESTS POPULATION ASSESSMENT ON LETTUCE<br />

Hymenoptera<br />

Diptera<br />

Hemiptera<br />

Lepidoptera<br />

Orthoptera<br />

Graphic 2: Pests conrol on spinach<br />

Spray Parcel (PT)<br />

No Spray Parcel (PnT)<br />

We counted 79% <strong>of</strong> pests in the untreated lettuce plots against 69% in the deltamethrin treated<br />

plots with the Hemiptera representing the most important group.<strong>of</strong> devastators pests. The pests<br />

recolonisation <strong>of</strong> the field plots was done 12 days after the first application <strong>of</strong> acephate against 8 days<br />

with deltamethhrin.<br />

The agrochemicals application makes it possible to reduce by 50% the losses <strong>of</strong> production <strong>of</strong><br />

the salad.


The Chemical Control <strong>of</strong> the Pests in the Truck Farming and the Quality <strong>of</strong><br />

Vegetables in African Urban Cities: The Health Hazards and Security <strong>of</strong> Consumers 841<br />

We obseved 84% <strong>of</strong> pests in untreated plots against 57% in plots treated with the cypermethrin,<br />

with the Hemiptera representing the most important group. The recolonisation by the pests was done<br />

10 days after the first application <strong>of</strong> cypermethrin. The agrochemicals application makes it possible to<br />

reduce by 25% the losses <strong>of</strong> production <strong>of</strong> the spinaches.<br />

Pests Numbers (N)<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

Coleoptera<br />

Graphic 3: Pests Control on turnip<br />

PESTS POPULATION ASSESSMENT ON TURNIP<br />

Hymenoptera<br />

Diptera<br />

Hemipte ra<br />

Lepidoptera<br />

Orthoptera<br />

Spray Parcel(PT)<br />

No Sp ray Pa rcel (Pn T)<br />

We observed 91% <strong>of</strong> pests in untreated plots against 62% on the plots treated with<br />

deltarmethrin, and the Hemiptera also set up the most important group <strong>of</strong> pests. The pests<br />

recolonisation was done 8 days after the first application <strong>of</strong> deltarmethrin.<br />

The first application <strong>of</strong> agrochemicals makes it possible to reduce by 42% the losses <strong>of</strong> turnip<br />

production.<br />

We identified only one pathogenic fungus on the lettuce (9 % <strong>of</strong> production). It is<br />

Cladosporium sp <strong>of</strong>:<br />

Division <strong>of</strong> Amastigomycota<br />

Group <strong>of</strong> Deuteromycetes<br />

Class <strong>of</strong> Hyphomycetes<br />

Gender <strong>of</strong> Cladosporium.<br />

which is the agent responsible <strong>of</strong> Cladosporium gray mold but the preventive spraying <strong>of</strong> Maneb gives<br />

efficient protection on the lettuce.<br />

Table 1: Microbiology Monitoring <strong>of</strong> Irrigated Water<br />

Bacteria Resultats Criteria<br />

Thermotolerant Coliform/g 3.10 5 2.10 3<br />

Faecal Streptococci/g 10 6 10 3<br />

The presence <strong>of</strong> micro-organisms such as Thermotolerant Coliform and the faecal Streptococci<br />

is respectively hundred fifty (150) times and one thousand (1000) times<br />

higher than the criteria for international standard allowed for irrigation water quality in<br />

agricultural fields.<br />

Generally the application <strong>of</strong> Agrochemicals significantly reduced the number and the varieties<br />

<strong>of</strong> pests on the treated plots. The Coleoptera and the Hymenoptera contain the main species <strong>of</strong> the<br />

predatory and natural enemies thus auxiliary <strong>of</strong> plants protection, having a significant impact on the<br />

dynamics <strong>of</strong> the populations <strong>of</strong> pests. The preservation <strong>of</strong> these different auxiliaries is necessary for a<br />

sustainable management <strong>of</strong> natural resources. Deltamethrin has a good level <strong>of</strong> selectivity and it is a


842 Dembele Ardjouma, Oumarou Badini, Traore Sory Karim,<br />

Mamadou Koné, Coulibaly D. Ténébé, A. Abba Toure<br />

considerable advantage for the management <strong>of</strong> pests and the environment management than the<br />

Acephate which, has a low selectivity but a wide range <strong>of</strong> effectiveness against insect pest and good<br />

residual activity.<br />

The preservation <strong>of</strong> the auxiliaries <strong>of</strong> culture in spite <strong>of</strong> the chemical treatment is essential<br />

considering the important role that they play in the maintenance <strong>of</strong> agro-ecological balances.<br />

The Lepidoptera (larva), Orthoptera and Hemiptera represent the most important group <strong>of</strong><br />

insect pests, which attack and cause the highest damage in truck farming lettuce, spinach and turnip.<br />

However, the considerable differences in number <strong>of</strong> captured insects and pests found between the<br />

treated and untreated field plots show that a targeted application <strong>of</strong> agrochemicals against these groups<br />

<strong>of</strong> pests is efficient.<br />

The majority <strong>of</strong> the groups <strong>of</strong> pests which attach and cause important damage on turnip,<br />

spinach and lettuce can be controlled by the application <strong>of</strong> agrochemical products according to good<br />

agricultural practices (GAP) compatible with the protection <strong>of</strong> the environment and the preservation <strong>of</strong><br />

non-target organisms.<br />

However, one <strong>of</strong> the biggest problems encountered by vegetable producers is their lack <strong>of</strong><br />

sufficient knowledge about how to use safely the agrochemicals. They are not sufficiently aware <strong>of</strong> the<br />

risks <strong>of</strong> pesticides accumulation in vegetables, and the possible health problems for consumers being<br />

exposed to these risks. They are also <strong>of</strong>ten confronted with the problems <strong>of</strong> accessibility to agricultural<br />

credits.<br />

The microbiological analysis <strong>of</strong> the irrigation water highlighted an overload <strong>of</strong> thermotolerant<br />

Coliforms and fecal Streptococci. These bacteria which are not normally pathogenic, are usually used<br />

to indicate the possible presence <strong>of</strong> pathogenic micr<strong>of</strong>auna organisms. Thus their very high number<br />

compared to the threshold recommended shows a low water quality.<br />

The strong presence <strong>of</strong> these indicating bacteria suggests a probable presence in the irrigation<br />

water <strong>of</strong> very dangerous pathogenic parasites that could develop and cause very important damages to<br />

the plants, farmers and the consumers.<br />

The contaminated vegetables can cause a certain number <strong>of</strong> diseases. Particularly, the<br />

contaminated salads are sources <strong>of</strong> bacterial diseases such as the typhoid and paratyphoid fevers<br />

(Salmonella typhi/paratyphi) whose origin comes from the excrements <strong>of</strong> the patients or healthy<br />

carriers [8]. Other bacteria <strong>of</strong> the Salmonella species can also cause collective intoxications. The<br />

periodically endemic Cholera in the tropical countries, maybe transmitted by soiled salads. Also the<br />

bacterial dysentery (Shigella dysenteriae) can be transmitted by soiled vegetables believed<br />

contaminated by the excrements.<br />

The preventive protection against these diseases is <strong>of</strong>ten done by vaccination. But the use <strong>of</strong><br />

hygienic measures like disinfections with chloramphenicol, bleach into the water or the potassium<br />

permanganate (KMnO4) are <strong>of</strong> primary importance.<br />

Conclusion<br />

The insecticides <strong>of</strong> biological origin represent an asset but their major disadvantage in addition to their<br />

high costs, is their instability with storage. They quickly lose their effectiveness and consequently any<br />

competitiveness [9]. But the need for both safe and natural food products while respecting nature and<br />

maintaining a healthy environment is a very important concept to be considered in Integrated Pest<br />

Management (IPM). IPM can be defined as a combination and the reasoned use <strong>of</strong> all the methods<br />

which makes it possible to control or to maintain the populations <strong>of</strong> pests to a threshold economically<br />

bearable [10].<br />

If the consumers estimate that the products are <strong>of</strong> the first rate quality, they will not hesitate to<br />

pay for the full price. Finally, one can reach a great effectiveness in the improvement <strong>of</strong> plants<br />

protection by associating the conservation <strong>of</strong> auxiliary insects with the application <strong>of</strong> agrochemicals<br />

and biotechnology. Our developing countries will be able certainly to benefit from this progress.


The Chemical Control <strong>of</strong> the Pests in the Truck Farming and the Quality <strong>of</strong><br />

Vegetables in African Urban Cities: The Health Hazards and Security <strong>of</strong> Consumers 843<br />

References<br />

[1] CHAUX C. & FOURY C. (1994), Productions légumières: Tome 2: Légumes-feuilles, Tiges,<br />

Fleurs, Racines, Bulbes. Editions Lavoisier, Paris-France. 639p.<br />

[2] E.J. RYDER & WHITAKER T.W. (1976), Lettuce. In “Evolution <strong>of</strong> crop plants”. N.W.<br />

Simmonds edit., Longmann-London. 215p.<br />

[3] MATTHEWS G.A. (1984), Pest management. Longman, London & New York. 231p.<br />

[4] DEMBELE A. (2000), Cours de Chimie des Pesticides. Université d’Abobo Adjamé, Année<br />

académique 2000-2001. 1p.<br />

[5] DELVARE G. & ABERLENC H. P. (1989), Les insectes d’Afrique et d’Amérique tropicale:<br />

Clés pour la reconnaissance des familles. Prifas Cirad dépt. Gerdat, Montpellier-France. 302p.<br />

[6] KIFFER E. & MORELET M. (1997), Les Deutéromycètes: Classification et clés<br />

d’identification générique. INRA, Paris-France. p161-169.<br />

[7] BOTTON B. & Al (1990), Moisissures utiles et nuisibles. Importance industrielle: 2e édition.<br />

Masson Collection Biotechnologies, Paris-Milan-Barcelone-Mexico. 498p<br />

[8] MESSIAEN C.M. (1989), Le potager tropical: 2e édition entièrement refondue. Presses<br />

Universitaires de France (PUF) & ACCT, Paris. 580p.<br />

[9] LAVABRE E.M. (1992), Ravageurs des cultures tropicales. G-P Maisonneuve et Larose &<br />

ACCT, Paris.178p.<br />

[10] H. SIMON & Al (1994), La protection des cultures. Editions Lavoisier-Tec & Doc, Paris.<br />

351p.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.844-851<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Database Interfacing using Natural Language Processing<br />

Imran Sarwar Bajwa<br />

Department <strong>of</strong> Computer Science and IT, The Islamia University <strong>of</strong> Bahawalpur<br />

E-mail: imransbajwa@gmail.com<br />

Shahzad Mumtaz<br />

Department <strong>of</strong> Computer Science and IT, The Islamia University <strong>of</strong> Bahawalpur<br />

E-mail: shahzadz22@hotmail.com<br />

M. Shahid Naweed<br />

Department <strong>of</strong> Computer Science and IT, The Islamia University <strong>of</strong> Bahawalpur<br />

E-mail: shahid_naweed@hotmail.com<br />

Abstract<br />

To write technically correct SQL queries is a complex and skill requiring task<br />

especially for a novel user. This situation becomes more complex when a low skilled<br />

person has to use a database management system for a specific business purpose. S/He has<br />

to write some quires at his own and perform various tasks. This scenario requires more<br />

expertise and skills in terms <strong>of</strong> understanding and writing the accurate and functional<br />

queries. The task <strong>of</strong> the novel user can be simplified by providing an easy interface that is<br />

well known to that user. In order to resolve all such issues, automated s<strong>of</strong>tware is needed,<br />

which facilitates both users and s<strong>of</strong>tware engineers. User writes the requirements in simple<br />

English in a few statements and the designed system has the ability to analyze the given<br />

script. After composite analysis and mining <strong>of</strong> associated information, the designed system<br />

generates the intended SQL queries that can be run directly. The paper describes a system<br />

that can create SQL queries automatically. The designed system provides a quick and<br />

reliable way to generate SQL queries to save time and budget <strong>of</strong> both the user and system<br />

analyst.<br />

Keywords: Information extraction, Automatic Query Generation, Knowledge Retrieval,<br />

Natural language processing.<br />

1.0. Introduction<br />

Relational databases are the premier way <strong>of</strong> storing common data repositories. After storing the data<br />

contents in a database, an interfacing mechanism is required to talk with the prearranged repository <strong>of</strong><br />

the confined data. The conventional way <strong>of</strong> communicating with a database is to fist build a connection<br />

stream and then adding, deleting or updating the data contents in the database by using a standardized<br />

interfacing mechanism [1]. Simple command shells are typically used and they are <strong>of</strong>ten incorporated<br />

within every distinct database product. These command shells are typically simple filters which helps a<br />

use to log on to the database, execute particular commands and receive output. These command shells<br />

provide access to the database from the machine on which the database is actually running [2]. After<br />

hooking to a particular database a user or a programmer requires an interface and typically that


Database Interfacing using Natural Language Processing 845<br />

interface is provided by some technical languages. These languages are called query languages and are<br />

constituted <strong>of</strong> the database commands typically used for asking questions to a distinctive database and<br />

getting intended response. SQL [3] (Structured Query Language) is the most popular query language<br />

which is actually the defacto language <strong>of</strong> databases today. SQL is an orthodox tool <strong>of</strong> database<br />

querying. Different database management systems implement this standardized language with trivial<br />

alterations and adjustments. However, in spite <strong>of</strong> these proprietary extensions by the vendors, the core<br />

<strong>of</strong> this querying language is the same in all <strong>of</strong> the environments.<br />

From an application programmer's point <strong>of</strong> view, the major novelty in the relational database is<br />

that one uses a declarative query language, SQL. Most computer languages are procedural. The<br />

programmer tells the computer what to do, step by step, specifying a procedure. Using SQL interface,<br />

the programmer defines his requirements and questions and the RDBMS query planner figures out how<br />

to get it [5]. There are two compensations <strong>of</strong> using a declarative language. The first is that the queries<br />

no longer depend on the data depiction. The RDBMS is free to store data according to its own design<br />

requirements [6]. The second major factor is improved s<strong>of</strong>tware dependability. For various web-based<br />

and stand-alone applications the generic SQL is used to make the things simple and straightforward.<br />

Besides these praising compensations occupied by SQL, it’s technical and trifle interface makes this<br />

language monotonous and difficult to learn and use. It is quite intricate to remember these SQL<br />

commands and use them accurately and precisely.<br />

In order to resolve all such issues, an automated s<strong>of</strong>tware is needed, which facilitates both users<br />

and s<strong>of</strong>tware engineers. As far as this s<strong>of</strong>tware is concerns the time, it takes to explore all the facilities<br />

and services, should be quite less than a minute and this information is quite useful for the users.<br />

2.0. Problem Description<br />

Modern s<strong>of</strong>tware engineering requires quick and automated solutions which may have ability to create<br />

the accurate and precise SQL queries automatically. For complex queries an expert programmer also<br />

requires assistance in terms <strong>of</strong> automatic query generation. He can use these queries after making<br />

appropriate adjustments and alterations in the automated generated queries with less effort in less time<br />

as compared to the traditional approaches.<br />

The task <strong>of</strong> the novel user can be simplified by providing an easy interface that is more familiar<br />

and well known to that user. In order to resolve all such issues, an automated s<strong>of</strong>tware is needed, which<br />

facilitates both users and s<strong>of</strong>tware engineers. User writes the requirements in simple English in a few<br />

statements and the designed system has obvious ability to analyze the given script. After composite<br />

analysis and mining <strong>of</strong> associated information, the designed system generates the intended SQL queries<br />

that can be run directly. The designed system has robust ability to create code automatically without<br />

external environment. The designed system provides a quick and reliable way to generate SQL queries<br />

to save the time and budget <strong>of</strong> both the user and system analyst<br />

3.0. Used Methodology<br />

The understanding and multi-aspect processing <strong>of</strong> the natural languages that are also termed as "speech<br />

languages", is actually one <strong>of</strong> the arguments <strong>of</strong> greater interest in the field artificial intelligence field<br />

[8]. The natural languages are irregular and asymmetrical. Traditionally, natural languages are based<br />

on un-formal grammars. There are the geographical, psychological and sociological factors which<br />

influence the behaviours <strong>of</strong> natural languages [12]. There are undefined set <strong>of</strong> words and they also<br />

change and vary area to area and time to time.Due to these variations and inconsistencies, the natural<br />

languages have different flavours as English language has more than half dozen renowned flavours all<br />

over the world [14]. These flavours have different accents, set <strong>of</strong> vocabularies and phonological<br />

aspects. These ominous and menacing discrepancies and inconsistencies in natural languages make it a<br />

difficult task to process them as compared to the formal languages [13].


846 Imran Sarwar Bajwa, Shahzad Mumtaz and M. Shahid Naweed<br />

The English language statements are effortlessly converted into a SQL query by using the<br />

newly designed rule based algorithm. Select query is the common query used to choose a set <strong>of</strong> values<br />

from a table [4]. An example <strong>of</strong> a college database has been used in the conducted research. Student’s<br />

data will be retrieved, inserted and deleted by automatically generated queries from simple English<br />

text.<br />

3.1. SELECT Query<br />

First <strong>of</strong> all the ‘SELECT’ query has been processed. ‘SELECT’ query has four parts as following:<br />

SELECT * FROM Students<br />

Keyword Required Set keyword Table Name<br />

‘SELECT’ query can easily be generated from the provided input string <strong>of</strong> as there are two<br />

keywords ‘SELECT’ and ‘FROM’. Other two required values are ‘Required Set’ and ‘Table Name’.<br />

To process the speech language text and find ‘Required Set’ and ‘Table Name’ the conventional norms<br />

<strong>of</strong> the English language and grammatical rule are used. The conventional structure <strong>of</strong> simple English<br />

sentence is the key rule <strong>of</strong> comprehending and analyzing the natural language text [13] as in the<br />

following example:<br />

“I need names <strong>of</strong> all students.”<br />

Following is the complete analysis <strong>of</strong> this simple sentence.<br />

Table 01: Generating SELCET Query from text<br />

Lexicons Phase-I Phase –II<br />

I Noun ----------<br />

need Verb ----------<br />

names Noun Field Name<br />

<strong>of</strong> preposition ----------<br />

all Noun *<br />

students Noun Table Name<br />

In this example the ‘Required Set’ field is filled by the ‘Filed Name’ attribute and the ‘Table<br />

Name’ filed is filled by the ‘Table Name’ attribute as following:<br />

Select * from Students<br />

Here the table Name is searched from the array <strong>of</strong> available all tables in the database. From all<br />

available tables, the nearest table name is picked that ‘students’ in this example.<br />

3.2. INSERT Query<br />

After ‘SELECT’ query ‘INSERT’ query has been processed. ‘INSERT’ query has five fragments as<br />

following:<br />

INSERT INTO Students VALUES (5, ‘Ali’)<br />

Keyword keyword Table Name Keyword Record<br />

‘INSERT’ query can also produced from the given statement as there are three keywords<br />

‘INSERT’, ‘INTO’ and ‘VALUES’ [6]. Other two required parameters are ‘Table Name’ and<br />

‘Record’. Using same rule based algorithm ‘Table Name’ and ‘Record’ are extracted. As in the<br />

following example:<br />

“I want to insert a student whose Roll No. is 5 and Name is Ali.”<br />

Following is the complete analysis <strong>of</strong> this simple sentence.


Database Interfacing using Natural Language Processing 847<br />

Table 02: Generating INSERT Query from text<br />

Lexicons Phase-I Phase –II<br />

I Noun -----------<br />

want Verb -----------<br />

to Preposition -----------<br />

insert Verb Action<br />

a article -----------<br />

student Noun Table Name<br />

whose Conjunction -----------<br />

Roll No Noun Attribute<br />

is Helping Verb ------------<br />

5 Noun Value<br />

and Conjunction ------------<br />

Name Noun Attribute<br />

is Helping Verb ------------<br />

Ali Noun Value<br />

In this example the ‘Required Set’ field is filled by the ‘Filed Name’ attribute and the ‘Table<br />

Name’ filed is filled by the ‘Table Name’ attribute. Here the table Name is searched from the array <strong>of</strong><br />

available all table sin the database. From all available tables, the nearest table name is picked that<br />

‘students’ in this example.<br />

3.3. DELETE Query<br />

Same like ‘SELECT’ and ‘INSERT’ queries ‘DELETE’ query can also be easily processed. ‘DELETE’<br />

query has five parts as following:<br />

DELETE FROM Students WHERE Age > 25<br />

Keyword Keyword Table Name Keyword Condition<br />

The ‘DELETE’ query typically consists <strong>of</strong> three keywords as ‘DELETE’, ‘FROM’ and<br />

‘WHERE’. Other two required values are ‘Table Name’ and ‘Condition’. To find ‘Table Name’ and<br />

‘Condition’ parameters the English language defined grammatical rule are used as in the following<br />

example:<br />

“I want to delete the students more than 25 years age.”<br />

Following is the complete analysis <strong>of</strong> this simple sentence.<br />

Table 03: Generating DELETE Query from text<br />

Lexicons Phase-I Phase –II<br />

I Noun ---------<br />

want Verb ---------<br />

to preposition ---------<br />

delete verb Action<br />

the article ---------<br />

students Noun Table Name<br />

more preposition Condition<br />

than Noun ----------<br />

25 Noun Value<br />

years Noun -----------<br />

age Noun Parameter<br />

For ‘DELETE’ query, first the condition is defined. In this example Parameter and Value are<br />

combined with Condition parameters. In this example table Name is also retrieved from the array <strong>of</strong><br />

available all tables in the database.


848 Imran Sarwar Bajwa, Shahzad Mumtaz and M. Shahid Naweed<br />

4.0. Work Flow <strong>of</strong> Designed System<br />

The designed system “Computational Linguistics based System for Automatic Database Query<br />

Generation” is adequately capable <strong>of</strong> automatically generating queries. This designed system performs<br />

its function in multi-phase procedure. There are five modules in total that are Text input acquisition,<br />

text comprehension, Information retrieval and ultimately generation <strong>of</strong> SQL Queries. Following is the<br />

brief detail <strong>of</strong> all these phases.<br />

4.1. Text input Acquisition<br />

This module helps to acquire input text scenario. User provides the business scenario in from <strong>of</strong> strings<br />

<strong>of</strong> the text. This module reads the input text in the form characters and generates the words by<br />

concatenating the input characters. This module is the implementation <strong>of</strong> the lexical phase. Lexicons<br />

and tokens are generated in this module. After the lexicons generation further processing can be<br />

performed on the input text.<br />

4.2. Text Comprehension<br />

Figure 01: Lexical analysis <strong>of</strong> input text string<br />

This module reads the input from module one in the form <strong>of</strong> words or lexicons. These words are<br />

categorized into various classes as verbs, helping verbs, nouns, pronouns, adjectives, prepositions,<br />

conjunctions, etc. These classes are further used to understand the various parts <strong>of</strong> the given sentence.<br />

4.3. Information Retrieval<br />

Figure 02: Parts <strong>of</strong> speech tagging <strong>of</strong> input text<br />

This module, extracts key words <strong>of</strong> the SQL queries as Select, Insert, Delete, From, Into, Where, etc.<br />

Keywords are found by matching the tokens with the given array <strong>of</strong> al possible keywords. These key


Database Interfacing using Natural Language Processing 849<br />

words are further used to generate the respective queries. The information like table name, field name,<br />

number <strong>of</strong> attributes and logical conditions are also extracted in this phase.<br />

4.4. SQL Queries generation<br />

Figure 03: Query information extraction<br />

This module combines the keywords and other required parameters for a particular query. SQL query<br />

is ultimately generated here according to the given rules in the designed algorithm. As separate<br />

scenario will be provided for various types <strong>of</strong> queries, the separate functions have been implemented<br />

for particular query.<br />

Figure 04: Generation <strong>of</strong> SQL Query<br />

5.0. Results and Analysis<br />

After designing and coding the query generating system, its accuracy and efficiency was tested. For<br />

testing purpose <strong>of</strong> the queries generated by the designed system simple and complex level queries were<br />

generated. Each query from each category as Select, Insert, Delete was checked.<br />

15 sample queries were generated and the intended results have been shown in the following<br />

table.


850 Imran Sarwar Bajwa, Shahzad Mumtaz and M. Shahid Naweed<br />

Table 04: Accuracy ratio <strong>of</strong> various types <strong>of</strong> queries<br />

Types Simple Complex Total<br />

SELECT 14 13 90%<br />

INSERT 13 11 80%<br />

DELETE 14 12 87%<br />

Total Accuracy = 86%<br />

A matrix representing accuracy <strong>of</strong> query generation test (%) for simple level and complex level<br />

queries has been constructed. Overall diagrams accuracy for all types <strong>of</strong> queries is determined by<br />

adding total accuracy <strong>of</strong> all categories and calculating its average that is 86% in this case.<br />

Figure 05: Graphical representation <strong>of</strong> the results<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

0<br />

SELECT INSERT DELETE<br />

The graph above is showing the accuracy ratio <strong>of</strong> various SELECT, INSERT & DELETE<br />

queries in terms <strong>of</strong> simple and complex queries parameters.<br />

6.0. Conclusion<br />

The designed system “Computational Linguistics based System for Automatic Database Query<br />

Generation” facilitates both users and s<strong>of</strong>tware engineers in terms <strong>of</strong> generating SQL queries<br />

automatically. The task <strong>of</strong> the novel user can be simplified by providing an easy interface that is more<br />

familiar and well known to that user. In order to resolve all such issues, an automated s<strong>of</strong>tware is<br />

needed, which facilitates both users and s<strong>of</strong>tware engineers. User writes the requirements in simple<br />

English in a few statements and the designed system has obvious ability to analyze the given script.<br />

After composite analysis and mining <strong>of</strong> associated information, the designed system generates the<br />

intended SQL queries that can be run directly. The designed system has robust ability to create code<br />

automatically without external environment. The designed system provides a quick and reliable way to<br />

generate SQL queries to save the time and budget <strong>of</strong> both the user and system analyst. An elegant<br />

graphical user interface has also been provided to the user for entering the Input scenario in a proper<br />

way and generating UML diagrams.<br />

7.0. Future Work<br />

There is also some margin <strong>of</strong> improvements in the algorithms for generating the intended SQL queries.<br />

Current accuracy <strong>of</strong> generating diagrams is about 80% to 85%. It can be enhanced up to 95% by<br />

improving the algorithms and inducing the ability <strong>of</strong> learning in the system. In this research only three<br />

types <strong>of</strong> queries has been addressed as SELECT, INSERT, and DELETE query. There are still other<br />

types <strong>of</strong> queries that require some sufficient solution.<br />

Simple<br />

Complex


Database Interfacing using Natural Language Processing 851<br />

References<br />

[1] Allen,J. (1994) Natural Language Understanding. Benjamin- Cummings Publishing Company,<br />

New York.<br />

[2] Biber, D., Conrad, S., & Reppen, R. (1998). Corpus Linguistics: Investigating Language<br />

Structure and Use. Cambridge Univ. Press, Cambridge, U.K.<br />

[3] D. DeHaan, D. Toman, M. P. Consens, and T. Ozsu. (2003) A Comprehensive XQuery to SQL<br />

Translation using Dynamic Interval Encoding. In SIGMOD.<br />

[4] C. A. Thompson, R. J. Mooney and L. R. Tang, Learning to parse natural language database<br />

queries into logical form, in: Workshop on Automata Induction, Grammatical Inference and<br />

Language Acquisition (1997).<br />

[5] Salton, G., & McGill, M. (1983). Introduction to Modern Information Retrieval. McGraw-Hill,<br />

New York.<br />

[6] A. Rosenthal. D. Reiner, Extending the Algebraic Framework <strong>of</strong> Query Processing to Handle<br />

Outer joins, Proc. VLDB Singa- pore 1984. pp. 334-343.<br />

[7] Fagan, J. L. (1989). The effectiveness <strong>of</strong> a non-syntactic approach to automatic phrase indexing<br />

for document retrieval. <strong>Journal</strong> <strong>of</strong> the American Society for Information Science, 40 (2), 115–<br />

132.<br />

[8] J. M. Zelle and R. J. Mooney, Learning semantic grammars with constructive inductive logic<br />

programming, in: Proceedings <strong>of</strong> the 11th National Conference on Arti_cial Intelligence<br />

(AAAI Press/MIT Press, Washington, D.C., 1993), pp. 817ñ822.<br />

[9] Kowalski, G. (1998). Information Retrieval Systems: Theory and Implementation. Kluwer,<br />

Boston.<br />

[10] Krovetz, R., & Cr<strong>of</strong>t, W. B. (1992). Lexical ambiguity and information retrieval. ACM<br />

Transactions on Information Systems, 10, 115–141.<br />

[11] Losee, R. M. (1988). Parameter estimation for probabilistic document retrieval models. <strong>Journal</strong><br />

<strong>of</strong> the American Society for Information Science, 39(1), 8–16.<br />

[12] Losee, R. M. (1996a). Learning syntactic rules and tags with genetic algorithms for information<br />

retrieval and filtering: An empirical basis for grammatical rules. Information Processing and<br />

Management, 32(2), 185–197.<br />

[13] Manning, C. D., & Schutze, H. (1999). Foundations <strong>of</strong> Statistical Natural Language<br />

Processing. MIT Press, Cambridge, Mass.<br />

[14] Partee, B. H., Meulen, A. t., &Wall, R. E. (1990). Mathematical Methods in Linguistics.<br />

Kluwer, Dordrecht, The Netherlands.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.852-862<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Role <strong>of</strong> Trade, External Debt, Labor Force and Education in<br />

Economic Growth Empirical Evidence from Pakistan by using<br />

ARDL Approach<br />

Arshad Hasan<br />

Muhammad Ali Jinnah University Islamabad<br />

E-mail: Aarshad.hasan@gmail.com<br />

Safdar Butt<br />

Dean faculty <strong>of</strong> Business Administration and Social Sciences<br />

Mohammad Ali Jinnah University<br />

Abstract<br />

This paper examines the determinants <strong>of</strong> economic growth for Pakistan over a<br />

period <strong>of</strong> 1975-2005, using Autoregressive Regressive Distributed Lag (ARDL) approach<br />

to Cointegration. The relation ship between economic growth, trade, external debt, labor<br />

force and education has been discussed in long term and short term. And it is found that<br />

labor force and trade have significant impact on economic growth whereas external debt<br />

has no association with economic growth in long term or short term indicating that it has<br />

not been used efficiently and productively. An appropriate policy to educate and develop<br />

the human resources <strong>of</strong> the country coupled with export oriented policies can help in<br />

accelerating the process <strong>of</strong> economic development and growth and that in turn can have<br />

multidimensional positive effects on the economy and economic conditions <strong>of</strong> common<br />

man.<br />

Keywords: Pakistan, exports, human capital, causality, ARDL<br />

JEL Classification Codes: C12, C22<br />

1. Introduction<br />

Pakistan’s economy has shown various ups and downs during last 30 years. This study explores the<br />

various factors that have impact on the long-term economic growth <strong>of</strong> the country. Some <strong>of</strong> the factors<br />

that affect the economic growth <strong>of</strong> a country include human capital, total trade external debt and<br />

education. An examination <strong>of</strong> the role <strong>of</strong> said factors in economic growth is more important for<br />

developing countries like Pakistan that are fighting against poverty.<br />

Human capital has been considered as one <strong>of</strong> the primary engines <strong>of</strong> economic growth and<br />

development. Economic theory suggests that human capital is an important determinant <strong>of</strong> growth.<br />

Various theoretical models include human capital as a factor <strong>of</strong> production and consider the<br />

accumulation <strong>of</strong> human capital as an element <strong>of</strong> the growth process and empirical evidence for number<br />

<strong>of</strong> countries also confirms this relationship. Thus we can say that human resource development and its<br />

efficient management plays vital role in the economic growth <strong>of</strong> economy.<br />

In emerging economies like Pakistan export can play a pivotal role in accelerating the process<br />

<strong>of</strong> economic growth. The export led hypothesis assumes that export expansion leads to better resource


Role <strong>of</strong> Trade, External Debt, Labor Force and Education in<br />

Economic Growth Empirical Evidence from Pakistan by using ARDL Approach 853<br />

allocation and improves production efficiency. This is possible through technological development,<br />

new capital formation and employment creation which are pre requisites for accelerated economic<br />

growth. During last few decades, Pakistan has shifted from import substitution policy to export<br />

oriented policy. Economic reforms in the last five years have done much to boost Pakistan’s<br />

merchandise trade/GDP ratio. Evidence on relationship between trade and economic growth is mixed<br />

Capital is an important factor <strong>of</strong> production. Capital inflows in the form <strong>of</strong> external debt can<br />

play a vital role in increasing the national output. However, excess use <strong>of</strong> such capital may have<br />

negative impact as it increases the debt servicing costs and can effect balance <strong>of</strong> payments. Empirical<br />

evidence suggests bidirectional causality between external debt and growth. Higher external debt<br />

lowers growth but at the same time low growth increases indebtedness. Higher debt operates through a<br />

strong negative effect on physical capital accumulation and on total factor productivity. Lower growth<br />

reduces revenues and primary surpluses. If these are not addressed and adjusted timely these can affect<br />

debt ratios. Reducing debt levels would therefore, contribute to growth by boosting both capital<br />

accumulation and productivity growth.<br />

This study analyzes the relationship between economic growth, human capital, trade and<br />

external debt and education for the period 1995-2005. The paper is organized as follows.<br />

The section II provides an overview <strong>of</strong> the existing literature about the relationship between<br />

economic growth, exports, human capital external debt and education. The data employed and<br />

methodology adopted has been explained in section III. Empirical results have been discussed in<br />

section IV. Section V deals with conclusion and policy implications<br />

2. Literature Review<br />

2.1. Human Capital and Economic Growth<br />

Lucas (1993) argues that accumulation <strong>of</strong> human capital serves as an engine <strong>of</strong> growth. Human capital<br />

accumulation takes place in schools, in research organizations, and in the course <strong>of</strong> producing goods<br />

and engaging in trade.He investigates the reasons <strong>of</strong> diversity in the quality <strong>of</strong> life among nations and<br />

finds that major source <strong>of</strong> difference is the dissimilarity in human capital. Mankiw (1992) further<br />

extends the theory and considers human capital as an additional accumulate able factor. He provides<br />

evidence that changes in human capital ultimately translates into significant changes <strong>of</strong> growth rates.<br />

Relationship between economic growth and human capital has been examined extensively.<br />

Many theoretical models <strong>of</strong> economic growth exists which include Nelson and Phelps (1966), Lucas<br />

(1988), Becker, Murphy, and Tamura (1990), Rebelo (1992), and Mulligan and Sala-i-Martin (1992).<br />

Many empirical researchers which include Romer(1990), Barro(1991),Benhabib and Spiegel(1994)<br />

provide evidence that economic growth and schooling are correlated across countries and time.<br />

Studies that examine the relationship between economic growth and human capital<br />

accumulation are divided into two broader categories. First group <strong>of</strong> studies uses growth accounting<br />

framework. The growth accounting framework assumes that education, increases the human capital<br />

stock <strong>of</strong> individuals that improves their productivity and ultimately contributes to growth. This group<br />

includes the studies <strong>of</strong> Baumol(1986), Barro(1991), Barro and Lee(1993). Other group <strong>of</strong> studies<br />

employs endogenous growth model. The endogenous growth models assume that human capital creates<br />

new ideas which is transformed into scientific knowledge and ultimately leads to accelerate the process<br />

<strong>of</strong> economic growth. This group includes Lucas (1988), Romer(1990), Grossman (1991).<br />

Barro(1991), Barro and Lee(1993),Benhabib and Spiegel(1994)provide evidence that human<br />

capital accumulation promotes economic growth). Bils and Klenow (2000) take up the matter<br />

differently and find that levels <strong>of</strong> schooling are positively correlated with growth rates. But they find<br />

that direction <strong>of</strong> relation is debatable. Here question arises whether increased schooling results in<br />

accelerated economic growth or accelerated economic growth leads to attainment <strong>of</strong> higher schooling<br />

due to better allocation <strong>of</strong> resources for education in the country. However, relatively few studies have


854 Arshad Hasan and Safdar Butt<br />

tested for causality between human capital formation and economic growth. Studies which test for<br />

causality between human capital and growth within a bivariate framework are De Meulemeester and<br />

Rochat (1995), In and Doucouliagos (1997) and Asteriou and Agiomirgianakis (2001).<br />

2.2. Trade and Economic Growth<br />

Relationship between trade and economic growth has been examined extensively. There are number <strong>of</strong><br />

studies that empirically investigate the relationship between exports and growth. These studies either<br />

use correlation analysis or employ causality techniques. The empirical evidence on the export growth<br />

nexus is mixed with no clear consensus. Ahmad (2001) reviews approximately 40 studies conducted<br />

during 1970-1990 and finds that empirical support for the export led growth in developing and<br />

developed countries is considerably weaker in more recent studies. Results for studies that use<br />

cointegration and causality analysis are significantly different from those studies which are based on<br />

correlation analysis. Summers (1997) examines the relationship between total trade and growth for<br />

Australian and Canadian market and finds that imports and exports trade play different roles on<br />

economic growth. Summers finds that import trade has a significance role in Canada. However no<br />

evidence <strong>of</strong> in support <strong>of</strong> export led growth is found for Australian economy. Strydom (2003) studies<br />

the role <strong>of</strong> foreign sector in economy and finds that international trade does not play a significant role<br />

in economic growth .One possible reason for this ambiguity is the lack <strong>of</strong> understanding <strong>of</strong> the<br />

diffusion system that links trade with economic growth. The evidence shows that the channels through<br />

which trade generates growth have asymmetric growth effects. Therefore economic policies should be<br />

structured to eliminate the impeding effects for such channels and to augment the efficiency <strong>of</strong> less<br />

efficient mechanism.<br />

Human capital accumulation increases the quality <strong>of</strong> labor, which in turn, enhances the<br />

productivity <strong>of</strong> the workforce and stimulates further exports and economic growth (Chuang 2000).<br />

Hanson and Harrison (1995), Stokey(1996) and many other Empirical studies suggest that trade<br />

promotes human capital accumulation and vice-versa. Support for said argument is wide spread<br />

covering range <strong>of</strong> countries and time periods.<br />

2.3. External Debt and Economic Growth<br />

External debt serves as catalyst to mobilize other factors <strong>of</strong> production. In many countries, external<br />

debt has been used as main source <strong>of</strong> capital investment for development <strong>of</strong> the physical infrastructure.<br />

However, there has been a concern regarding the proper utilization <strong>of</strong> external debt in poverty<br />

alleviation and overall economic growth <strong>of</strong> the country.<br />

The relationship between external debt and economic growth has been examined extensively in<br />

recent years. These studies have largely focused on the harmful effects <strong>of</strong> a country’s “debt overhang”.<br />

It is meant that debt is accumulated to such a high level that becomes a threat for the borrower country<br />

and it faces problems in servicing the debts. The empirical findings suggest that debt overhang<br />

depresses growth by increasing investors’ uncertainty about actions the government might take to meet<br />

its onerous debt-servicing obligations. Debt overhang may also affect the efforts <strong>of</strong> the government to<br />

carry out structural and fiscal reforms which are necessary to accelerate the economic growth process<br />

<strong>of</strong> the country. Governments also feel pressures to retire foreign debts. Pakistan’s external debt<br />

situation <strong>of</strong> the 1990s is consistent with the findings <strong>of</strong> the recent literature on the relationship between<br />

debt and economic growth. If take an overview <strong>of</strong> the last decade we find that large current account<br />

deficit (almost 5.0percent <strong>of</strong> GDP) for an extended period <strong>of</strong> one decade, the irresponsible use <strong>of</strong><br />

borrowed funds, mounting real cost <strong>of</strong> borrowing and stagnant exports have contributed significantly<br />

in quick accumulation <strong>of</strong> external debt.<br />

A number <strong>of</strong> studies have examined the relationship between external debt and economic<br />

growth. The majority <strong>of</strong> these studies have found that debt variables are significantly and negatively<br />

correlated with growth. Maureen (2001) analyses the magnitude and structure <strong>of</strong> Kenya's external debt<br />

and examines its impact on economic growth and private investment using time series data for the


Role <strong>of</strong> Trade, External Debt, Labor Force and Education in<br />

Economic Growth Empirical Evidence from Pakistan by using ARDL Approach 855<br />

period 1970- 1995. The empirical results show that external debt accumulation has a negative impact<br />

on economic growth <strong>of</strong> Kenya. Karagol (1999) examines the relationship between economic growth,<br />

external debt service and capital inflow using the time series data for Turkey and employing<br />

simultaneous equations. The result suggests that the rise in the debt-servicing ratio adversely affects<br />

economic growth, whereas the decrease in the rate <strong>of</strong> growth reduces the ability <strong>of</strong> an economy to<br />

service its debt. This study further provides that the direct impact <strong>of</strong> external debt on the economic<br />

growth is negative. However favorable indirect effects <strong>of</strong> it exceed the direct effects. Chowdhury<br />

(1994) investigates the direct, indirect <strong>of</strong> the external debt on economic growth <strong>of</strong> seven countries by<br />

using panel data for the period <strong>of</strong> 1970-1988. These countries include Bangladesh, Indonesia,<br />

Malaysia, Philippines, South Korea, Sri Lanka and Thailand. Results suggest that the external debt <strong>of</strong><br />

developing countries is not a primary cause <strong>of</strong> economic slow down. Schclarek (2004) examines the<br />

probability <strong>of</strong> existence <strong>of</strong> both linear and nonlinear relationship between debt and economic growth<br />

for developing and industrial countries. Evidence here is mixed. In case <strong>of</strong> developing countries, a<br />

significant negative relationship has been observed between external debt and economic growth.<br />

However, no such relationship has been observed in case <strong>of</strong> industrial countries.<br />

The literature survey shows that a number <strong>of</strong> studies have examined the role <strong>of</strong> external debt,<br />

labor force and trade in economic growth separately. But there is no single study examining the role <strong>of</strong><br />

these variables in the economy in an integrated way. In this regard, this study attempts to bridge this<br />

gap.<br />

3. Data Description and Methodology<br />

3.1. Data Description and Definition <strong>of</strong> Variables<br />

This study examines the relationship between economic growth, trade, external debt, human capital<br />

and education. Data on all variables is taken from various publications <strong>of</strong> State Bank <strong>of</strong> Pakistan,<br />

Bureau <strong>of</strong> Statistics, Economic Survey <strong>of</strong> Pakistan and Lee and Barro’s database on human capital<br />

measures. The study uses annual data that cover the period from 1975 -2005.<br />

3.2. Dependent variable<br />

The economic growth is used as the dependent variable in the model. Gross domestic product (GDP) is<br />

employed as the proxy <strong>of</strong> the economic growth<br />

3.3. Independent variables<br />

The independent variables are Education, Total Trade, External Debt and Labor Force.<br />

Education<br />

A review empirical work on the relationship between human capital and growth reveals that various<br />

proxies have been used to measure the human capital stock. Alternative proxies for human capital<br />

includes school enrolment ratios, adult literacy rates, levels <strong>of</strong> education attainment and average years<br />

<strong>of</strong> schooling, monetary value <strong>of</strong> human capital stock and international test scores <strong>of</strong> students. These are<br />

very diversified but all have limitations in one way or other.<br />

School enrolment ratios, adult literacy rates are extensively used in growth regressions due to<br />

their easy availability and broad coverage. Adult literacy rates ignore most <strong>of</strong> the investments made in<br />

human capital as they do not include qualifications obtained above the basic levels <strong>of</strong> education so it<br />

seems to be a poor measure <strong>of</strong> human capital available for current production. Enrolment ratios are<br />

flow variables, and the children currently enrolled in schools are not yet part <strong>of</strong> the labor force.<br />

Therefore, enrolment ratios do not accurately represent changes in human capital stock. Levels <strong>of</strong><br />

education and average years <strong>of</strong> schooling are most popular and commonly used measures today. This


856 Arshad Hasan and Safdar Butt<br />

study uses average years <strong>of</strong> schooling <strong>of</strong> the working age population as a proxy for Education .It is<br />

hypothesized that there exists a positive relationship between education and economic growth.<br />

Total Trade<br />

Trade plays an important role in increasing the production <strong>of</strong> goods and services. Total trade is the sum<br />

<strong>of</strong> total exports and imports. All data has been converted into Pakistani rupees and it is transformed at<br />

constant prices <strong>of</strong> 2000 to adjust the impact <strong>of</strong> exchange rate variations. It is hypothesized that there<br />

exists a positive relationship between trade and economic growth.<br />

External Debt<br />

External debt is one <strong>of</strong> the major sources <strong>of</strong> financing the development programs. These programs<br />

generally focus on infrastructure development that is necessary to lay down the foundations <strong>of</strong><br />

sustainable economic growth. It is hypothesized that there exists a positive relationship between<br />

external debt and economic growth. For this study External debt has been translated into Pakistani<br />

rupees at constant prices <strong>of</strong> 2000 and then logarithm <strong>of</strong> External debt is taken to construct the variable.<br />

It is hypothesized that there exists a negative relationship between external debt and economic growth.<br />

Labor Force<br />

Labor force is directly involved in the production process and large labor force can help to enhance<br />

production <strong>of</strong> goods and services. For purpose <strong>of</strong> this study Labor force <strong>of</strong> the age between 15 and 64<br />

has been taken from Economic Survey <strong>of</strong> Pakistan. It is hypothesized that there exists a positive<br />

relationship between labor force and economic growth.<br />

3.4. Methodology<br />

To examine the impact <strong>of</strong> human capital, trade, external debt and education on economic growth<br />

following model has been tested<br />

Ln GDPt = β0+ β1 lnTT t+ β2 lnLF t + β3 lnTD t + β4 Edu t+μt<br />

(1)<br />

Where<br />

GDP= gross domestic product (in constant terms for year 2000)<br />

TT = total trade<br />

LF= labor force in the age range <strong>of</strong> 15-64<br />

TD = total debt at constant Rate<br />

Education = average year <strong>of</strong> schooling<br />

Existence <strong>of</strong> the long run equilibrium relationship among chronological variables can be<br />

investigated by using several methods. The most widely used methods include Engle and Granger<br />

(1987) test, fully modified OLS procedure <strong>of</strong> Phillips and Hansen’s (1990), maximum likelihood based<br />

Johansen (1988, 1991) and Johansen-Juselius (1990) tests. All these methods require that the variables<br />

in the system are integrated <strong>of</strong> order one I (1). Futher, these methods are considered as weak as these<br />

methods do not provide robust results for small samples or structural breaks. Due to these problems, a<br />

newly developed autoregressive distributed lag (ARDL) approach to cointegration has become popular<br />

in recent years.<br />

The ARDL modeling approach was originally introduced by Pesaran and Shin (1999) and<br />

further extended by Pesaran (2001). This approach has numerous econometric advantages in<br />

comparison to other Cointegration methods. One major advantage <strong>of</strong> ARDL approach is that it can be<br />

applied irrespective <strong>of</strong> degree <strong>of</strong> integration. Secondly, ARDL approach provides robust results in<br />

small sample sizes and estimates <strong>of</strong> the long-run coefficients are well consistent in small sample sizes(<br />

Pesaran and Shin 1999).<br />

Furthermore, a dynamic error correction model (ECM) can be derived from ARDL that<br />

integrates the short-run dynamic with the long-run equilibrium without losing long run information. In<br />

view <strong>of</strong> the above advantages, we use ARDL approach for cointegration analysis and the resulting<br />

ECM.


Role <strong>of</strong> Trade, External Debt, Labor Force and Education in<br />

Economic Growth Empirical Evidence from Pakistan by using ARDL Approach 857<br />

An ARDL representation <strong>of</strong> above equation is as below:<br />

Δ Ln GDPt = β0+ Σ βiΔ Ln GDPt -i+ Σ βi Δ lnTT t-i + Σ βi Δ lnLF t-i + Σ βi Δ lnTD t-i +<br />

Σ βi Δ Edu t-i +μ t Where i ranges from 1 to p (2)<br />

The ARDL method estimates number <strong>of</strong> regressions to determine the optimal lag length for<br />

each variable. The appropriate lag length for each variable is selected using Schwartz-Bayesian Criteria<br />

(SBC).<br />

The underlying assumption <strong>of</strong> ARDL procedure is that each variable should be integrated <strong>of</strong><br />

orders zero or one i.e. I(0) or I(1). If any variable is integrated <strong>of</strong> higher order then the procedure is not<br />

applicable. Therefore first step is to perform unit root tests to ensure that none <strong>of</strong> the variable in<br />

equation (1) is I (2) or higher order.<br />

In the second step <strong>of</strong> ARDL model, the long-run relationship and the resulting error correction<br />

model is estimated. A general error correction representation <strong>of</strong> equation (2) is given below:<br />

Δ Ln GDPt = β0+ Σ βiΔ Ln GDPt -i+ Σ λi Δ lnTT t-i + Σ δiΔ lnLF t-i+ Σ φ i Δ lnTD t-i+<br />

Σ ηi Δ Edu t-i + ECM +μt<br />

As external debt, total trade and labor force and education are expected to have a positive<br />

effect on economic growth, the coefficients β, δ and φ are expected to be positive, i.e. β > 0, λ > 0 δ ><br />

0, φ > 0 and η > 0.<br />

Finally, we examine the stability <strong>of</strong> short-run and long-run coefficients by using cumulative<br />

(CUSUM) and cumulative sum <strong>of</strong> squares (CUSUMSQ) tests. The CUSUM and CUSUMSQ statistics<br />

are updated recursively and plotted against the break points. If the plots <strong>of</strong> CUSUM and CUSUMSQ<br />

statistics stay with in the critical bonds <strong>of</strong> 5% level <strong>of</strong> significance, the null hypothesis <strong>of</strong> all<br />

coefficients in the given regression are stable can not be rejected.<br />

4. Empirical Results<br />

Table 1 exhibits the results <strong>of</strong> unit-root test .Augmented Dickey-Fuller (ADF) and Phillip Parren<br />

procedures have been used to test the stationarity <strong>of</strong> time series. ADF test assumes that time series is<br />

independently and identically distributed which may not be the case for some <strong>of</strong> the data so PP- Test<br />

has also been applied which permits the data to be heterogeneously distributed.<br />

Table 1: Unit Root Test<br />

ADF-level ADF-Ist Diff PP-level PP-Ist Diff<br />

Ln GDP 0.2578 -5.6013 0.5908 -5.981<br />

Ln TT -0.1582 -3.0468 -0.5617 -5.7437<br />

Ln ED -1.0521 -3.3468 -1.0521 -3.1421<br />

Edu -1.7318 -3.0972 -2.7568 -4.4379<br />

Ln LF -0.43 -3.5870 -0.7625 -5.2623<br />

Critical. Value 5% -2.9640 -2.9678 -2.9640 -2.9678<br />

Results presented in above table indicate that variables are integrated <strong>of</strong> order one or lower, so<br />

ARDL methodology can be used to investigate the presence <strong>of</strong> long term relationship among variables.<br />

The first step in the ARDL procedure is to estimate equation (2)<br />

(3)


858 Arshad Hasan and Safdar Butt<br />

Table 2a: Autoregressive Distributed Lag Estimates<br />

ARDL(1,1,0,0,0) selected based on Schwarz Bayesian Criterion<br />

Independent variables Coefficient S. E t Statistics P value<br />

Ln GDPt-I 0.5487 0.2005 2.7363 0.01<br />

lnTTt 0.2830 0.1500 1.8862 0.07<br />

lnTTt-1 - 0.2688 0.1190 -2.2584 0.03<br />

lnTDt -0.0810 0.1931 -0.4643 0.65<br />

Edut 0.0032 0.0405 0.0785 0.94<br />

lnLFt 1.2120 0.4637 2.6141 0.01<br />

C 1.2949 0.8583<br />

Table 2b:<br />

R-Squared 0.99<br />

R-Bar-Squared 0.98<br />

S.E. <strong>of</strong> Regression 0.06<br />

S.D. <strong>of</strong> Dependent Variable 0.51<br />

DW-statistic 2.37<br />

F-stat. F(6, 22) 306.95<br />

significance [.000]<br />

Table 2 (a & b) indicates that total trade and labor force has significant relationship with<br />

economic growth whereas total debt and education have insignificant relationship. The value <strong>of</strong> R-Bar-<br />

Squared is 0.98 which indicates a high degree <strong>of</strong> correlation among variables. F statistics is also<br />

significant at 1% which indicates overall goodness <strong>of</strong> fit. The test for the presence <strong>of</strong> long-run<br />

relationship amongst the variables <strong>of</strong> equation (1) highlights the following results. Bahmani-Oskooee<br />

and Bohal (2000) have shown that the results <strong>of</strong> this first step are sensitive to lag length selected in<br />

equation (2). As we are using annual data so a shorter lag length is considered.<br />

Table 3: ARDL (1,1,0,0,0) Model Long Run Results Dependent variable log (GDP)<br />

Independent variables Coefficient Standard Error t value P value<br />

LTT 0.0313 0.2344 0.1333 0.89<br />

LLF 2.6859 0.8924 3.0098 0.00<br />

LED -0.1987 0.4316 -0.4603 0.65<br />

Edu 0.0070 0.0894 0.0786 0.93<br />

C 2.8694 1.6401 1.7495 0.09<br />

A careful examination <strong>of</strong> results in Table 3 reveals that Labor Force has significant long term<br />

relationship with economic growth. External debt has insignificant negative association with economic<br />

growth. Similarly total trade and education have no significant impact in economic growth. Short-run<br />

dynamics <strong>of</strong> the relationship has also been examined by employing ARDL error correction<br />

representation. Estimates <strong>of</strong> error correction representation <strong>of</strong> ARDL model are given table below


Role <strong>of</strong> Trade, External Debt, Labor Force and Education in<br />

Economic Growth Empirical Evidence from Pakistan by using ARDL Approach 859<br />

Table 4: Error Correction Representation for the ARDL Model ARDL (1,1,0,0,0)<br />

Independent variables Coefficient S .E t Statistics P value<br />

Δ lnTT 0.2829 0.1500 1.8862 0.07<br />

Δ lnLF 1.2120 0.4636 2.6141 0.02<br />

Δ lnTD -0.8966 0.1931 0.4643 0.64<br />

Δ Edu 0.0031 0.0405 0.0784 0.93<br />

ECM(-1) -0.4512 0.2005 2.2502 0.03<br />

R-Squared .39<br />

S.E. <strong>of</strong> Regression .06<br />

S.D. <strong>of</strong> Dependent Variable .07<br />

DW-statistic 2.37<br />

F-stat. F(5, 23) 2.87<br />

significance [.037]<br />

The ECM equation is given as<br />

ECM = Ln GDPt -.031266* lnTT t +0.19869* lnTD t + 0.0070366* Edu t -2.6859* lnLF t -<br />

2.8694*C<br />

Examination <strong>of</strong> error correction model in Table 4 shows that labor force has the strongest effect<br />

on economic growth in the short run which is followed by total trade. The short-run effect <strong>of</strong> total<br />

external debt on economic growth in Pakistan is weak and statistically insignificant at even 10% level<br />

<strong>of</strong> significance. The coefficient <strong>of</strong> ECM term has correct sign and significant at 10 %. It confirms the<br />

presence <strong>of</strong> relationship between the variables. The Coefficient <strong>of</strong> the ECM term suggests that<br />

adjustment process is quite fast and 45% <strong>of</strong> the previous year’s disequilibrium in economic growth<br />

from its equilibrium path will be corrected in the current year. Thus, the evidence presented in this<br />

section suggests that economic growth in Pakistan is mainly determined by fluctuations in labor force ,<br />

and trade both in the short run and the long run. Total debt is not an important determinant <strong>of</strong> economic<br />

growth either in the short-run or the long-run.<br />

The CUSUM and CUSUMSQ plots to check the stability <strong>of</strong> short run and long run coefficients<br />

in the ARDL error correction model are given below in figure 1:<br />

1.5<br />

1.0<br />

0.5<br />

0.0<br />

Figure 1:<br />

Plot <strong>of</strong> Cumulative Sum <strong>of</strong> Squares <strong>of</strong><br />

Recursive Residuals<br />

-0.5<br />

1977 1982 1987 1992 1997 2002 2005<br />

The straight lines represent critical bounds at 5% significance level


860 Arshad Hasan and Safdar Butt<br />

Plot <strong>of</strong> Cumulative Sum <strong>of</strong> Recursive<br />

Residuals<br />

15<br />

10<br />

5<br />

0<br />

-5<br />

-10<br />

-15<br />

1977 1982 1987 1992 1997 2002 2005<br />

The straight lines represent critical bounds at 5% significance level<br />

Figure 1 shows that both statistics CUSUM and CUSUMSQ are with in the critical bounds <strong>of</strong> 5<br />

% indicating that the model is structurally stable.<br />

5. Conclusion<br />

This paper attempts to examine the determinants <strong>of</strong> economic growth for Pakistan over the period <strong>of</strong><br />

1975-2005, using ARDL approach to Cointegration. The results indicate that labor force and trade are<br />

important determinant <strong>of</strong> economic growth in short run and long run. The results indicate a positive<br />

relationship between labour force and economic growth which in line with the general assertion that<br />

the labour force is a key factor <strong>of</strong> production and hence it is positively associated with the economic<br />

growth <strong>of</strong> a nation. The external debt is found to not to have any relationship with economic growth.<br />

This result indicates that the external debt has not been used productively and efficiently in Pakistan<br />

which may be one <strong>of</strong> the reasons behind the slow economic growth. An appropriate combination <strong>of</strong> a<br />

suitable flow <strong>of</strong> external debt, an educated and highly productive labor force and a properly balanced<br />

external trade can lead to economic development and accelerate the growth process. An integrated<br />

policy covering human resource development frame work and export friendly trade strategy can have<br />

multidimensional positive effects on the nation’s march towards growth and prosperity.


Role <strong>of</strong> Trade, External Debt, Labor Force and Education in<br />

Economic Growth Empirical Evidence from Pakistan by using ARDL Approach 861<br />

References<br />

[1] Bahmani-Oskooee, M. and Bohl, M. T., “German monetary unification and the stability <strong>of</strong><br />

German M3 money demand function” Economic Letters, Vol.66, 2000, pp.203-208.<br />

[2] Engle, R. and Granger, C., “Cointegration and error and testing”, Econometrica, 55, 1987,<br />

pp.251-276.<br />

[3] Johansen, S., “Statistical analysis <strong>of</strong> cointegrating vectors”, <strong>Journal</strong> <strong>of</strong> Economic Dynamics and<br />

Control, Vol.12, 1988, pp.231-254<br />

[4] Johansen, S. and Juselius, K., “Maximum likelihood estimation and inference on cointegration<br />

–with application to the demand for money” Oxford Bulletin <strong>of</strong> Economics and Statistics, Vol.<br />

52, 1990, pp.169-210.<br />

[5] Peseran, M. H. and Shin, Y., An Autoregressive Distributed Lag Modelling Approach to<br />

Cointegration Analysis. Chapter 11 in Econometrics and Economic Theory in 20th Century:<br />

The Ragnar Frisch Centennial Symposium, Strom, S. (ed.). (Cambridge University Press:<br />

Cambridge, 1999)<br />

[6] Pesaran, M. H. and B. Pesaran, B., Micr<strong>of</strong>it 4.0 Interactive Econometric Analysis (Oxford<br />

University Press, Oxford, 1997).<br />

[7] Chowdhury, Khorshed (1994). "A Structural Analysis <strong>of</strong> External Debt and Economic Growth:<br />

Some Evidence from Selected Countries in Asia and the Pacific." Applied Economics 26: 1121-<br />

1131.<br />

[8] Kalima, Barbara (2002). "Gender and Debt". African Forum and Network on Debt &<br />

Development, pp: 6-7.<br />

[9] Maureen Were (2001). "The Impact <strong>of</strong> External Debt on Economic Growth and Private<br />

Investment in Kenya." Kenya Institute for Public Policy <strong>Research</strong> and Analysis, pp: 28-30<br />

[10] Shrestha, Min B. and Khorshed Chowdhury (2005). "A Sequential Procedure for Testing Unit<br />

Roots in the Presence <strong>of</strong> Structural Break in Time Series Data". International <strong>Journal</strong> <strong>of</strong><br />

Applied Econometrics and Quantitative Studies, 2, pp: 1-15.<br />

[11] Strydom, P.D.F. (2003). International trade and economic growth in South Africa, The<br />

Economic Society <strong>of</strong> South Africa.<br />

[12] Summers, Peter M. (1997). "Trade and Growth in Settle Economies: Australian and Canadian<br />

Comparisons", Melbourne Institute Working Papers 9/97 pp.6<br />

[13] Barro, R., (1991), “Economic Growth in a Cross Section <strong>of</strong> Countries,” Quarterly <strong>Journal</strong> <strong>of</strong><br />

Economics, 106, 407-33.<br />

[14] Barro, R. and J.-W. Lee, (1993), “International Comparisons <strong>of</strong> Educational Attainment,”<br />

<strong>Journal</strong> <strong>of</strong> monetary Economics, 32, 363-94.<br />

[15] Ramesh Paudel and Min B Shrestha (2006),” The Role <strong>of</strong> External Debt, Total Trade and<br />

Labour Force in Economic Growth: The case <strong>of</strong> Nepal” ,The Business Review, Cambridge;<br />

Summer 2006; 5, 2; ABI/INFORM Global pg. 130<br />

[16] De Meulemeester, J. L. and D. Rochat, (1995), “A Causality Analysis <strong>of</strong> the Link Between<br />

Higher Education and Development,” Economics <strong>of</strong> Education Review, 14, 351-61<br />

[17] Chuang, (2000), " Human Capital, Exports, and Economic Growth: A Causality Analysis for<br />

Taiwan, 1952-1995" . Review <strong>of</strong> International Economics, Vol. 8, pp. 712-720, November<br />

[18] In, F. and C. Doucouliagos, (1997), “Human Capital Formation and US Economic Growth: A<br />

Causality Analysis,” Applied Economics Letters, 4, 329-31.<br />

[19] Lucas, R E(1988). "On the Mechanics <strong>of</strong> Development Planning." <strong>Journal</strong> <strong>of</strong> Monetary<br />

Economics, 22. pp. 3-42.<br />

[20] Romer, P. (1990), “Human Capital and Growth: Theory and Evidence,” Carnegie-Rochester<br />

Conference Series on Public Policy, 32, 251-285.<br />

[21] Grossman. G M. and E Helpman (1991), “Innovation and growth in global ~Cam briddge,<br />

Massachusetts M.I.T. Press.


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[22] Benhabib, J. and M. Spiegel, (1994), “The Role <strong>of</strong> Human Capital in Economic Development:<br />

Evidence from Cross-Country Data,” <strong>Journal</strong> <strong>of</strong> Monetary Economics, 34, 143-73.<br />

[23] Asteriou, D. and G. M. Agiomirgianakis, (2001), “Human Capital and Economic Growth: Time<br />

Series Evidence from Greece,” <strong>Journal</strong> <strong>of</strong> Policy Modeling, 23, 481-89.<br />

[24] Barro, R., (1991), “Economic Growth in a Cross Section <strong>of</strong> Countries,” Quarterly <strong>Journal</strong> <strong>of</strong><br />

Economics, 106, 407-33.<br />

[25] Barro, R. and J.-W. Lee, (1993), “International Comparisons <strong>of</strong> Educational Attainment,”<br />

<strong>Journal</strong> <strong>of</strong> monetary Economics, 32, 363-94.<br />

[26] Pesaran, M. H., Y. Shin, and R. Smith (2001). “Bounds Testing Approaches to the Analysis <strong>of</strong><br />

Level Relationships,” <strong>Journal</strong> <strong>of</strong> Applied Econometrics, 16(3), 289<br />

[27] Barro, R. J. and X. Sala-i-Martin (1999), Economic Growth. New York: McGraw-Hill.<br />

[28] Pesaran, M. H. and B. Pesaran.(1997),”Working with Micr<strong>of</strong>it 4.0: Interactive Econometric<br />

Analysis”, Oxford: Oxford University Press.<br />

[29] Ahmad, J. (2001), “Causality Between Exports and Economic Growth: What Do the<br />

Econometric Studies Tell Us?” , Pacific Economic Review, 6(1), 147-167.<br />

[30] Bils, M. and P. Klenow. (2000), “Does Schooling Cause Growth?” American Economic<br />

Review, 90(5), 1160-1183.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.863-870<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Development <strong>of</strong> Mechanical Prosthetic Hand System for BCI<br />

Application<br />

N. A Abu Osman<br />

Department <strong>of</strong> Biomedical Engineering, Faculty <strong>of</strong> Engineering<br />

University <strong>of</strong> Malaya, 50603, Kuala Lumpur, Malaysia<br />

S. Yahud<br />

Department <strong>of</strong> Biomedical Engineering, Faculty <strong>of</strong> Engineering<br />

University <strong>of</strong> Malaya, 50603, Kuala Lumpur, Malaysia<br />

S. Y Goh<br />

Department <strong>of</strong> Biomedical Engineering, Faculty <strong>of</strong> Engineering<br />

University <strong>of</strong> Malaya, 50603, Kuala Lumpur, Malaysia<br />

Abstract<br />

The study is to develop a prosthetic hand that can be controlled by Brain-Computer<br />

Interface (BCI). The proposed prosthetic hand consists <strong>of</strong> palm and 5 fingers. The hand<br />

was designed to perform the 4 predetermined essential tasks in BCI applications;<br />

cylindrical grasp, key pinch, pulp to pulp pinch and tripod pinch. The phalanges <strong>of</strong> the<br />

finger was modeled as three link open chain joined at the metacarpal joint (MCP), proximal<br />

joint (PIP) and distal joint (DIP). Each segment denote as phalanx was made from two<br />

parallel aluminum plates and connected to the other segment using a bolted spacer acting as<br />

hinge joint. Length <strong>of</strong> each segment was made such that it will form an equiangular motion<br />

path during trajectory. Each joint is actuated by its individual actuator. Two mechanisms<br />

were proposed in this study. The first mechanism is the tendon drive; used terelyne string<br />

to pull each segment to flexion. The second mechanism is a spring return; a stored resistive<br />

force in torsion spring will kick the segment to its initial position. The hand was equipped<br />

with potentiometers and pressure sensors for control purposes. The prototype was tested<br />

with BCI system, in order to meet its initial objective and additional tests were carried out<br />

to evaluate its performance. An experiment to test the performance <strong>of</strong> the prosthetic hand<br />

was carried out successfully. Strength <strong>of</strong> each tendon was measured using a pro<strong>of</strong> ring<br />

method and motion images were captured using video camera and analyzed using Peak<br />

Motus Performance 2000 Motion Analysis s<strong>of</strong>tware.<br />

1.0. Introduction<br />

Brain-Computer interface<br />

A brain-computer interface (BCI) is a communication system in which messages or commands convey<br />

from an individual to external device without passing through a brain's normal output pathways <strong>of</strong><br />

peripheral nerves and muscles. A BCI use the recorded electroencephalogram (EEG) rhythms from the<br />

electrodes on scalp and translated to the external device. The BCI application is useful for people with<br />

severe motor disabilities and in worst case for a completely paralyzed or “locked-in” patient that<br />

unable to communicate by any way. BCI application is wide and can be varied depending on the need


Development <strong>of</strong> Mechanical Prosthetic Hand System for BCI Application 864<br />

<strong>of</strong> the user such as communication, controlling the environment, or moving prosthetic limb [1].<br />

Wolpaw et. al has used BCI to restore communication for locked-in subject by moving a cursor in one<br />

or two dimension to choices on computer screen [2]. Birch and Mason [3] has used the LF-ASD to<br />

allow user to navigate a maze by making, turning decisions at intersection which could be implement<br />

for wheelchair control. Graz-BCI [4] is used by tetraplegic patient to control the opening or closing <strong>of</strong><br />

a hand orthosis.<br />

In this study, the BCI is used to control a prosthetic hand. Figure 1 shows the block diagram <strong>of</strong><br />

the BCI proposed in this study.<br />

Prosthetic hand<br />

Figure 1: Block diagram showing the components <strong>of</strong> BCI<br />

Development <strong>of</strong> prosthetic hand is inspired by the beauty and complexity <strong>of</strong> the human hand. Human<br />

hand is a very complex and malleable tool connected to the most powerful and complicated controller,<br />

the brain. Hand is made up from wrist, palm and fingers. First finger is the thumb followed by index,<br />

middle, ring and little finger. Skeleton <strong>of</strong> the hand can be divided into three segments; the carpus or<br />

bones <strong>of</strong> the wrist, the metacarpus or bones <strong>of</strong> the palm and the phalanges or bones <strong>of</strong> the finger.<br />

Prostheses can be classified into; body powered and externally powered. Most <strong>of</strong> the ancient belowelbow<br />

prosthetics known are body powered and apparently relied on the contralateral hand or relative<br />

motion between the shoulder, upper arm and forearm for the operation.<br />

Body powered below-elbow prosthetics usually consist <strong>of</strong> split hook or five fingers, socket and<br />

harness. This type <strong>of</strong> prosthetic hand only provide open and close hand action, and due to this<br />

limitation study are carried out to overcome it by switching to the externally powered prosthetic hand.<br />

The current trend in prosthetic hands is externally powered. An externally powered prosthetic hand is<br />

actuated by external actuators such as DC motors, ultrasonic motors, pneumatic cylinder, hydraulic<br />

cylinder and shape memory alloy material (SMA). Robotic technology has been helpful in improving<br />

the control and design <strong>of</strong> prosthetic hand. There are close relationship between robotics and prosthetic<br />

hand since both provide human like motion and prehension. In robotic hand the main focus is to imitate<br />

the human hand and enhance the performance. Thus, in robotic application two fingers are sufficient,


865 N. A Abu Osman, S. Yahud and S. Y Goh<br />

however three fingers are needed to perform dexterous tasks in an unstructured environment and to<br />

achieve full grasp <strong>of</strong> two-dimensional object [5]. Whereas, prosthetic hands are inspired by the need to<br />

replace the function <strong>of</strong> the human hand and try the best to resemble the human hand both functionally<br />

and structurally. In general prosthetic hands have benefited from the development <strong>of</strong> the robotic<br />

technologies. Brain-computer interface (BCI) project developed by University <strong>of</strong> Malaya is a project<br />

consists <strong>of</strong> signal processing part, BCI box and the device, as shown in figure 1. The device is<br />

composed <strong>of</strong> prosthetic hand and fuzzy controller. The objective <strong>of</strong> the study is to develop a prosthetic<br />

hand that able to perform the four basic tasks required by human hand: cylindrical grasps, key pinch,<br />

pulp to pulp pinch and tripod pinch.<br />

2.0. Methodology<br />

In this study the primary concern is to develop a prosthetic hand that able to perform the four essential<br />

tasks using a BCI system. In order for the hand to perform the four tasks, the hand should possess the<br />

maximum number <strong>of</strong> the DOFs. As a result, the proposed design should yield a total <strong>of</strong> 16 DOFs with<br />

each finger has 3 DOFs and thumb has 4 DOFs. The design <strong>of</strong> the finger has the following<br />

characteristics; (i) each finger has a total <strong>of</strong> three joints with three DOFs, (ii) thumb has similarly three<br />

joints but with four DOFs, (iii) each DOF is actuated by one actuator, (iv) each joint has installed a<br />

torsion spring within it for return mechanism, and (v) each joint is equipped with potentiometer for<br />

control. For every DOF <strong>of</strong> movements, it is driven by its individual actuator, thus the hand used up to<br />

16 units <strong>of</strong> actuator. Actuator used in this design is DC micromotors type 1331 with gearhead<br />

reduction series 14/1 manufactured by Faulhaber Group. The actuator is then connected to its<br />

respective segment using a terelyne string. The string will pulled the segment as the actuator rotates,<br />

the angle and speed <strong>of</strong> the flexion is depending on the output <strong>of</strong> the actuator. Flexion <strong>of</strong> each segment<br />

is accomplished when the string being pulled by the actuator and reset to its original position when<br />

string releases. The reset mechanism is, attain with the used <strong>of</strong> torsion spring at the joint. The stored<br />

resistive force on the torsion spring will reset segment to its original position. The string will act as a<br />

flexor digitorum pr<strong>of</strong>undus tendon <strong>of</strong> the human hand. The basic unit <strong>of</strong> the prosthetic hand is the<br />

prosthetic finger. Each prosthetic finger is said to maintain the same anatomical structure and<br />

dimensional proportion, regardless <strong>of</strong> their size. The three phalanx; distal, middle and proximal<br />

phalanges are denoted as L3, L2 and L1 accordingly as shown in figure 2 and connected to form a<br />

finger as shown in figure 3.<br />

Figure 2: Different size and shape <strong>of</strong> phalanx


Development <strong>of</strong> Mechanical Prosthetic Hand System for BCI Application 866<br />

Figure 3: Prosthetic finger<br />

Each phalanx is made from 2-parallel aluminum plate <strong>of</strong> 1.5mm thickness and join using a<br />

brass spacer bolted with 2mm diameter stainless steel screw. DC motors with the combination <strong>of</strong><br />

reduced gear heads are used to actuate finger segments. Process <strong>of</strong> determining the length <strong>of</strong> the<br />

phalanx acquired the implementation <strong>of</strong> the Fibonacci sequence. Fibonacci sequence in application to<br />

the human hand stated that; the difference between the length <strong>of</strong> the next phalanx and the sum length <strong>of</strong><br />

the two prior phalanges must equal to zero. The sum <strong>of</strong> the distal phalanx and the middle phalanx<br />

should be equal to the length <strong>of</strong> the proximal phalanx. However, Park et al [6] in his work has showed<br />

that the bone lengths <strong>of</strong> the finger does not follow the Fibonacci relationship but the motion paths <strong>of</strong><br />

the digits still form an equiangular spiral path. Therefore to achieve the equiangular spiral motion path<br />

the respective length that representing each segment should include the absolute bone length and<br />

functional length (radius <strong>of</strong> the joint). Length <strong>of</strong> each segment was referred to author’s hand herself<br />

and using the Hamilton’s ratio [7] to verify that the chosen length is sufficient to form an equiangular<br />

spiral motion.<br />

All the fabrication and machining process was done in the mechanical workshop in the<br />

Department <strong>of</strong> Mechanical Engineering, University <strong>of</strong> Malaya, Malaysia. The precise machining was<br />

carried out using a CNC (computer numerical control) wire EDM (electrical discharge machining)<br />

machine Sodick, available in the Department <strong>of</strong> Manufacturing and Design, University <strong>of</strong> Malaya,<br />

Malaysia.<br />

3.0. Result<br />

A prototype <strong>of</strong> prosthetic hand was successfully fabricated and tested for functionality, performance<br />

and strength. Figure 4 shows the flow diagram <strong>of</strong> a BCI system to control prosthetic hand developed by<br />

Biomedical Engineering BCI group, University <strong>of</strong> Malaya. A fuzzy controller is used to control the<br />

prosthetic hand. Input for controller is fed from the BCI box. EEG signals acquired from subject is<br />

amplified and converted to digital signal. The signal is further process and classified before send to<br />

fuzzy controller.


867 N. A Abu Osman, S. Yahud and S. Y Goh<br />

Figure 4: A BCI system developed for control <strong>of</strong> prosthetic hand.<br />

The prosthetic hand then acted according to the subject intent. The proposed BCI system was<br />

effectively controlled the prosthetic hand. The prosthetic hand is capable <strong>of</strong> performing the four<br />

essential tasks: cylindrical grasps, key pinch, pulp to pulp pinch and tripod pinch as shown in figure 5.<br />

Figure 5: The four pre-determined tasks for the prosthetic hand<br />

Strength for each joint was measured using pro<strong>of</strong> ring method. Maximum loads used for<br />

calibration <strong>of</strong> the pro<strong>of</strong> ring is 1.2 kg. Figure 6 shows the graph obtained form the pro<strong>of</strong> ring<br />

calibration test. A LabVIEW program was developed to capture voltage changes as the ring<br />

experienced tension. In the test the ring was placed between actuator and measured joint <strong>of</strong> the


Development <strong>of</strong> Mechanical Prosthetic Hand System for BCI Application 868<br />

prosthetic finger. LabVIEW program will capture value <strong>of</strong> strain gages during flexion and steady state.<br />

Each joint was tested for flexion angle ranging from 10° to 90°. The collected results shows that the<br />

value do not exceed the calibration range, (0-6.5V). Value acquired for each potentiometer shows<br />

degree <strong>of</strong> flexion made from respective joint. The reading was taken at chosen angle; 10°, 45° and 90°<br />

in fuzzy GUI (graphical user interface) controller box. Figure 7 shows a sample <strong>of</strong> collected data for<br />

three potentiometers on index finger at; metacarpal joint (MCP), proximal joint (PIP), and distal joint<br />

(DIP) accordingly.<br />

Figure 6: Calibration graph <strong>of</strong> Pro<strong>of</strong> Ring used in strength test.<br />

Figure 7: Potentiometers reading at MCP, PIP and DIP joints <strong>of</strong> middle finger<br />

4.0. Discussion<br />

Design <strong>of</strong> prosthetic hand emphasize on simple mechanism and robustness. The prototype employed<br />

simple pulling tendon mechanism for flexion and resistive torsion spring for return mechanism.<br />

Structural design <strong>of</strong> the prosthetic hand is made simple for easy assemble and dissemble without<br />

destructing any <strong>of</strong> components. Ample area in every phalanx <strong>of</strong> the finger provides space for future<br />

modification. Selection <strong>of</strong> material based on availability, cost and strength. Design and mechanism <strong>of</strong><br />

the hand is simple if compared with other available prosthetic hands [8][9][10][11]. However, size and


869 N. A Abu Osman, S. Yahud and S. Y Goh<br />

weight <strong>of</strong> the prosthetic hand could be reduced and skin could be added into the design to give more<br />

humanlike impression.<br />

Functional strength on each joint is depending on the tendon’s material. Terelyne string is used<br />

as tendon and able to withstand a maximum functional weight <strong>of</strong> 45 kg. Therefore, the prosthetic hand<br />

is capable <strong>of</strong> handling functional weight more than required by human hand [12]. The path <strong>of</strong> fingertip<br />

trajectory for each prosthetic finger is similar to Guo’s trajectory [13]. Maximum flexion angles for<br />

each joint are varied but approaching the value suggested by Thakor et. al [14]. The prosthetic hand is<br />

able to pose the four desired tasks without reaching a maximum angle <strong>of</strong> each joint. The four tasks<br />

focused in the study are basic functional activities commonly performed by human hand. The selection<br />

<strong>of</strong> hand tasks can be observed in experiment to investigate functional strength <strong>of</strong> the hand by Chao et.<br />

al [12].<br />

The proposed BCI system is able to control the prosthetic hand, during online experiment.<br />

Subject however has to be trained in order for him/her to control the prosthetic hand. Performance <strong>of</strong><br />

prosthetic hand in BCI environment is very much depending on factors such as subject’s EEG control<br />

ability, system performance, feedback delay and 50 Hz interference. As far as the author is concern,<br />

there is no experimental work done to demonstrate the actual performance <strong>of</strong> BCI controlling a<br />

prosthetic hand.<br />

5.0. Conclusion<br />

The prototype <strong>of</strong> a prosthetic hand has fulfilled the objective <strong>of</strong> the study. A total 16 DOFs is<br />

considered sufficient however it can be increase for better dexterity. Increasing the number <strong>of</strong> DOFs<br />

could result in different and complicated mechanism. Thus it will add complexity to the design and<br />

controller. The major contributor to the total weight <strong>of</strong> current prosthetic hand is DC motors. In future<br />

build in actuators could be considered to replace DC motors. he prosthetic hand in this study was<br />

developed specifically for BCI application. Application <strong>of</strong> BCI technology in controlling a prosthetic<br />

hand is a promising method to restore communication <strong>of</strong> “locked-in” with external environment. To<br />

date, experiment to test ability to control prosthetic hand was carried out on healthy subject. The<br />

possibility <strong>of</strong> implementing the technology to “locked-in” patient is yet to be discovered.<br />

Acknowledgement<br />

I would like to thank the UM-BCI group for great teamwork and sharing knowledge in completing the<br />

project. Thank you to all technicians in mechanical workshop, University <strong>of</strong> Malaya for their help and<br />

advice during fabrication and machining processes.


Development <strong>of</strong> Mechanical Prosthetic Hand System for BCI Application 870<br />

References<br />

[1] Melody M. Moore. 2003. Real-World Applications for Brain-Computer Interface Technology.<br />

IEEE Trans. on Neural Systems and Rehab. Eng., vol. 11, No.2, 162-165.<br />

[2] J.R. Wolpaw, D.J. McFraland, T.M. Vaughan, G. Schalk. 2003. The Wordsworth Center Brain-<br />

Computer Interface (BCI) <strong>Research</strong> and Development Program. IEEE Trans. on Neural<br />

Systems and Rehab. Eng. vol.11, No.2, 204-207.<br />

[3] G.E. Birch, S.G. Mason. 2000. Brain-Computer Interface <strong>Research</strong> at the Neil Squire<br />

Foundation. IEEE Trans. on Rehab. Eng. vol. 8, No.2, 193-195.<br />

[4] C. Guger, W. Harkam, C. Hertnaes, and G. Pfurtscheller. 1999. Prosthetic control by an EEGbased<br />

brain-computer interface (BCI). Proc. AAATE 5th <strong>European</strong> Conference for the<br />

Advancement <strong>of</strong> Assistive Technology.<br />

[5] S. Nahavandi and A.Z. Kouzani. 2001. Artificial Hand – From a Robotic Perspective. Seventh<br />

Australian and New Zealand Intelligent Info. Sys. Conf. 37-42,<br />

[6] Andrew E. Park, MD, John J. Fernandez, MD, Chicago, IL, Karl Schmedders, PhD, Evanston,<br />

IL, Mark S. Cohen, MD, Chicago, IL. 2003. The Fibonacci Sequence: Relationship to the<br />

Human Hand. The <strong>Journal</strong> <strong>of</strong> Hand Surgery, vol. 28A No. 1. 157-160.<br />

[7] R. Hamilton, R. A. Dunsmuir. 2002. Radiographic Assessment <strong>of</strong> the Relative Lengths <strong>of</strong> the<br />

Bones <strong>of</strong> the Fingers <strong>of</strong> the Human Hand. The <strong>Journal</strong> <strong>of</strong> Hand Surgery, vol. 27B No. 6, 546 -<br />

548<br />

[8] R. Tomovic and G. Boni. 1962. An Adaptive Artificial Hand. IRE Trans. on Automatic<br />

Control, vol. 7, issue 3, 3-10.<br />

[9] Peter J. Kyberd. Colin Light, Paul H. Chappell, Jim M. Nightingale, Dave Whatley and Mervyn<br />

Evans. 2001. The design <strong>of</strong> anthropomorphic prosthetic hands: A study <strong>of</strong> the Southampton<br />

Hand. Robotica (2001) Vol. 9, 563-600<br />

[10] S. Schulz, C. Plyatiuk and G. Bretthauer. 2001. A New Ultralight Anthrpomorphic Hand. Proc.<br />

<strong>of</strong> the IEEE Int. Conf. on Robotics and Auto. vol. 3, 2437-2441<br />

[11] M. Carozza, B. Massa, S. Micera, R. Lazzarini, M. Zecca and P. Dario. 2002. The development<br />

<strong>of</strong> a novel prosthetic hand – ongoing research and preliminary results. IEEE/ASME Trans. on<br />

Mechatronics, vol. 7, no. 2, 109-114<br />

[12] Chao, E.Y. 1989. Biomechanics <strong>of</strong> the hand: a basic research study. World <strong>Scientific</strong>, 1989.<br />

[13] Gongliang Guo, William A. Gruver, and Xikang Qian. 1992. A new Design for a Dextrous<br />

Robotic Hand Mechanism. IEEE Int. Conf. on Systems, Man, and Cybernetics, 35-38<br />

[14] Becker, J.C., Thakor, N.V. 1988. A study <strong>of</strong> the Range <strong>of</strong> Motion <strong>of</strong> Human Fingers with<br />

Application to Anthropomorphic Designs. IEEE Trans. on Biomedical Engineering, vol. 35,<br />

No.2, 110-117


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.871-881<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Toxicity <strong>of</strong> Arsenic in the Ground Water <strong>of</strong><br />

Comarca-Lagunera (Mexico)<br />

Faten Semadi<br />

Laboratoire d’Optimisation de la Conception d’Ingénierie et d’Environnement (LOCIE)<br />

73376 Le bourget du lac Cedex France<br />

E-mail: fsemadi@yahoo.fr<br />

Vincent Valles<br />

Laboratoire d'hydrogéologie d'Avignon<br />

E-mail: vincent.valles@univ-avignon.fr<br />

Jose Luis Gonzalez Barrios<br />

Centro Nacional de Investigación Disciplinaria<br />

en Relaciones Agua-Suelo-Planta-Atmósfera (INIFAP-Mexico)<br />

E-mail: gonzalez.barrios@inifap.gob.mx<br />

Abstract<br />

Nowadays, ecosystems are menaced by toxic pollutants causing environmental<br />

disturbances and human health risk. Many researchers are working over the world on this<br />

subject.<br />

This paper shows a study on arsenic as a trace element provoking human health risk<br />

and environmental problems with an approach on this pollution origin.<br />

In the first part, the statistical approach associated with geochemical methods lets<br />

explain the sources <strong>of</strong> variability <strong>of</strong> arsenic content that could be associated to three main<br />

points: the first is related with climate aridity as a responsible <strong>of</strong> water evaporation and<br />

concentration; the second point is related to geological variability especially in the upper<br />

part <strong>of</strong> the studied watershed. The third point is linked with aeration conditions which<br />

influence the toxicity <strong>of</strong> arsenic forms. Pentavalent forms <strong>of</strong> arsenic are dominant in the<br />

upper part <strong>of</strong> the watershed while trivalent forms are more important downstream where<br />

arsenic toxicity increases.<br />

The second part <strong>of</strong> this work presents a very high human health risk assessed for<br />

watershed population concluding that it is very urgent to react to this problem.<br />

Keywords: Arsenic, human health, risk, Mexico, environment, geochemistry<br />

Introduction<br />

The population exposure to arsenic is mainly by food with an average uptake <strong>of</strong> 40 µg daily, but with a<br />

high spatial variability depending on geographical situation and sea food consumption. Arsenic is a<br />

trace element widespread in the Earth's crust. Some soils have a high arsenic content under mineral<br />

compounds that are very toxic. In certain areas <strong>of</strong> the world, the groundwater consumed by people has<br />

a very high content <strong>of</strong> arsenic under inorganic compounds. On the other hand, the organic forms <strong>of</strong>


Toxicity <strong>of</strong> Arsenic in the Ground Water <strong>of</strong> Comarca-Lagunera (Mexico) 872<br />

arsenic have a lower toxicity (like Arsenocholine and arsenobetaine) and they are present into fish and<br />

other seafood (Dolique, 1968).<br />

Water can be polluted by arsenic compounds with industrial waste discharges or industrial dust<br />

carried down by rain or snow. Polluting dust may come from fuel oxidation (especially coal),<br />

metallurgic activities (for gold production or other metals extractions), by agricultural practices (use <strong>of</strong><br />

pesticides and food additives for animal production) or by waste incineration.<br />

Arsenic is a poison well known since antiquity. The presence <strong>of</strong> even weak concentrations into<br />

the municipal drink water is a good reason for people worry.<br />

The human exposure to arsenic by handling or inhalation may causes:<br />

• acute intoxication at the end <strong>of</strong> seven days<br />

• subacute intoxication at the end <strong>of</strong> 90 days<br />

• cancerous affections at the end <strong>of</strong> 40 years<br />

In the last years, several works on arsenic were carried in the United States, Russia, Chile and<br />

Madagascar. This work is devoted to the Mexican arid zone called Comarca Lagunera where<br />

observations suggest that arsenic could be related to human health problems. Physicochemical studies<br />

on hidro-chemistry were made recently on this area focusing the environmental impact <strong>of</strong> groundwater<br />

salinity and major elements on irrigated soils (Gonzalez-Barrios, 1992).<br />

This work has two parts:<br />

• the human health risk assessment related to the polluted drink water with inorganic<br />

arsenic compounds.<br />

• the arsenic content observed and its variability according with a geographical distribution<br />

Studied Area<br />

The environment <strong>of</strong> the studied area is strongly marked by geological features combining volcanic<br />

rocks with sedimentary and marine rocks. The climate is arid and continental causing salt<br />

concentration and evaporitic formations in soils. Topography designs two great watersheds: the Nazas<br />

and the Aguanaval rivers basins that finish their hydrological courses in an endorreic plane at 1000<br />

meters over the sea. This plane called Comarca Lagunera on the Mexican Altiplano, is surrounded by<br />

mountains: the "Sierra Madre Oriental" and the "Sierra Madre Occidental" which have an altitude<br />

between 1800 and 2800 meters (figure 1). It should be noted that Comarca lagunera is the endorreic<br />

bottom (approximately 48000 km 2 ) <strong>of</strong> a bigger hydrological region <strong>of</strong> 92000 km 2 .<br />

On this endorreic bottom there are not marshy or humid zones because groundwater table is<br />

generally more than one hundred <strong>of</strong> meters depth.<br />

Figure 1: The studied area


873 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

Materials and methods<br />

ACP<br />

The analysis <strong>of</strong> principal components (ACP) is a multivariable method for statistical analysis. It could<br />

be useful for quantify and order with hierarchical basis the mechanisms responsible <strong>of</strong> water quality. In<br />

this work, it is calculated starting from a matrix <strong>of</strong> correlation. The variables are then centred and<br />

reduced, making possible the solution <strong>of</strong> unit changes restrictions. Thus, a parameter such as the<br />

electric conductivity expressed in dS m -1 will be treated like a concentration value expressed in M L -1 .<br />

The ACP makes possible to find the factorial axes with linear combinations <strong>of</strong> parameters,<br />

because all <strong>of</strong> them are not playing the same roll. In hydrochemistry, the experience shows that a<br />

factorial axis usually represents a process or a source <strong>of</strong> variability.<br />

It is important to say that the factorial axes are orthogonal, it means independent; they represent<br />

mechanisms between them. For the ACP, the processes do not interfere between them. It makes<br />

possible to group different chemical parameters by their behaviour, it means that it makes a behaviour<br />

typology for the chemical parameters observed. The ACP let also group the water samples with similar<br />

characteristics within all observed parameters.<br />

Monte Carlo Method<br />

It is a simulation method based on the distribution laws <strong>of</strong> all the parameters. This operation is repeated<br />

hundreds or thousands <strong>of</strong> times, making possible the calculation <strong>of</strong> an average value and its standard<br />

deviation.<br />

Calculations <strong>of</strong> speciation: modeling thermodynamic <strong>of</strong> chemical balances<br />

When water contacts soil minerals, a great number <strong>of</strong> chemical reactions take place into the aqueous<br />

phase and within solution and minerals. According to the case, the ions content in the solution<br />

increases or decrease like a "source" or a "sink" in a forecasting model <strong>of</strong> the solution transfers.<br />

Geochemical models were developed in this work with the purpose <strong>of</strong> present briefly:<br />

Modelling thermodynamic balances<br />

It consists <strong>of</strong> studying three tools <strong>of</strong> current use in geochemistry: the interactions <strong>of</strong> water - rocks by<br />

thermodynamic balances. The majority <strong>of</strong> natural solutions contain a great number <strong>of</strong> chemical species<br />

distributed in different phases (liquid, solid and gaseous) ready to interact between them. That is why<br />

the study <strong>of</strong> balances between solutions and minerals leads to the estimation <strong>of</strong> activities <strong>of</strong> dissolved<br />

chemical species from the solute concentrations. Knowing the activities, it is possible to calculate the<br />

saturation state <strong>of</strong> the solutions related to minerals present in the environment by its solubility product<br />

(generally reported on thermodynamic data bases).<br />

Analyze <strong>of</strong> concentration diagrams<br />

The second approach is the study <strong>of</strong> solute concentration evolution in aqueous solutions while<br />

solutions are concentrated (Al-Droubi, 1976; Gac, 1980; Fritz, 1981, Vallès, 1987, Ribolzi and Al,<br />

1993). This method is based on the examination <strong>of</strong> concentration diagrams and is adapted to<br />

groundwater concentration by evaporation (Mediterranean and, arid climates). The development <strong>of</strong><br />

these diagrams requires data <strong>of</strong> measurement (Al-Droubi, 1976; Gac, 1980; Vallès, 1987; Barbiéro,<br />

1994) or the calculation <strong>of</strong> the concentration factor in solutions by a reference tracer (Gac, 1980;<br />

Gonzalez-Barrios, 1992; Ribolzi et al, 1993; Barbiéro, 1994).


Toxicity <strong>of</strong> Arsenic in the Ground Water <strong>of</strong> Comarca-Lagunera (Mexico) 874<br />

Generalized residual alkalinity<br />

Residual alkalinity (Van Beek and Van Breemen, 1973), resulting from the concept <strong>of</strong> residual<br />

carbonate (Eaton, 1950), it is obtained by difference between carbonated alkalinity (Alcc) and the total<br />

concentrations <strong>of</strong> the divalent cations in solution:<br />

AR = Alcc-2(Ca 2+) T-2(Mg 2+ )T (1)<br />

It is expressed in equivalents per litter <strong>of</strong> solution. The evolution way <strong>of</strong> the solution<br />

concentrations under evaporation conditions can be predicted according to the sign <strong>of</strong> the residual<br />

alkalinity. This concept was generalized with successive precipitation <strong>of</strong> some minerals such as<br />

calcite-gypsum sequence (Al-Droubi, 1976; Valles, 1987; Valles and al, 1989; Valles and al, 1991). It<br />

corresponds to a ionic balance which let foreseen the main geochemical interactions.<br />

Until little time ago, this method was used to foreseen the way <strong>of</strong> evolution <strong>of</strong> a concentrating<br />

solution or to precise the geochemical group <strong>of</strong> solutions. Since not so far time ago, the conservative<br />

character <strong>of</strong> residual alkalinity was theoretically predicted (Valles and al, 1991) and was showed on<br />

field conditions (Ribolzi and al., 1993). Consequently this concept can be used in the applications to<br />

quantitative purpose such as the decomposition <strong>of</strong> a flood flow hydrogram (Giusti and Neal, 1993;<br />

Ribolzi and al, 1996). It was largely used by Gonzalez Barrios (1992) to explain the behaviour <strong>of</strong><br />

major chemical elements in the groundwater <strong>of</strong> the Comarca Lagunera. The results <strong>of</strong> this study are<br />

synthesized in the following part.<br />

Results and discussion<br />

The arsenic content <strong>of</strong> 52 groundwater samples was taken from Gonzalez Barrios (1992) as well as the<br />

major chemical elements. The groundwater data bases are reported in appendix 1.1 and 1.2.<br />

Statistical study <strong>of</strong> arsenic concentrations and other elements<br />

This part focused the danger <strong>of</strong> toxicity by mineral arsenic. The groundwater analysis was made in<br />

Mexico at the laboratory <strong>of</strong> INIFAP CENID-RASPA in 1989, with traditional procedures:<br />

thermoelectric atomic absorption method.<br />

Table 1: Statistics on arsenic and other chemical elements concentrations<br />

Variable Average Minimum Maximum Variance<br />

Standar<br />

deviation<br />

Variation<br />

Coefficient<br />

Unit<br />

Carbonated Alkalinity 2,86E-03 1,30E-03 6,40E-03 1,28E-06 1,13E-03 3,95E-01 Eq L -1<br />

H 3,02E-05 5,01E-06 1,00E-04 6,07E-13 2,46E-05 8,15E-01 mg L -1<br />

Na 1,84E+02 4,60E+01 8,14E+02 1,16E+00 1,63E+02 8,90E-01 mg L -1<br />

Ca 1,11E+02 2,00E+01 5,49E+02 2,66E-01 1,03E+02 9,28E-01 mg L -1<br />

Mg 2,80E+01 1,22E+00 2,15E+02 7,19E-02 4,18E+01 1,50E+00 mg L -1<br />

Cl 8,15E+01 1,06E+01 2,66E+02 1,23E-01 6,59E+01 8,09E-01 mg L -1<br />

SO4 5,24E+02 5,28E+01 2,88E+03 3,19E+00 5,53E+02 1,06E+00 mg L -1<br />

Pb 2,49E-02 2,07E-04 2,30E-01 1,26E-08 5,12E-02 2,06E+00 mg L -1<br />

Zn 2,16E-02 6,54E-05 6,00E-01 1,12E-07 8,56E-02 3,96E+00 mg L -1<br />

Cu 5,13E-04 6,35E-05 1,70E-02 9,34E-11 2,43E-03 4,75E+00 mg L -1<br />

As 9,96E-02 1,00E-02 5,50E-01 2,29E-07 1,31E-01 1,32E+00 mg L -1<br />

EC 1,59E+00 3,67E-01 6,40E+00 1,44E+00 1,20E+00 7,55E-01 dS cm -1


875 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

Figure 2: Arsenic concentration compared with the statistical and norm values<br />

Table 2: Arsenic statistical and norm values and ratios<br />

Minimum K1 Average K2 Maximum Norm K3<br />

0.01 1/5 0.096 1.9 0.55 0.05 11<br />

K1 = Minimum / norm values ratio<br />

K2 = Average / norm values ratio<br />

K3 = Maximum / norm values ratio<br />

According with table 1 and 2, as well as figure 2, the arsenic content in groundwater exceeds<br />

the effective norm; the minimal value remains lower than norm value average arsenic value is almost<br />

two times greater the norm value (K2 = 1.9). The maximum value exceeds eleven times the norm value<br />

(K3 = 11).<br />

Seeking natural mechanisms for explain the observed arsenic contents<br />

Chemical types <strong>of</strong> water and theirs evolutions<br />

Figure 3: chemical types <strong>of</strong> groundwaters and their evolution<br />

The PIPER diagrams are useful for characterising chemical solutions. They provide rich and<br />

practical information for the qualitative description <strong>of</strong> water. They make possible to visualize the<br />

relative contents <strong>of</strong> cations and anions expressed as a percentage, and help to determine the<br />

geochemical type <strong>of</strong> water with the diagram subdivisions on triangles and a rhombus.


Toxicity <strong>of</strong> Arsenic in the Ground Water <strong>of</strong> Comarca-Lagunera (Mexico) 876<br />

The points observed show a high dispersion. The most diluted waters are characterized by a<br />

calcic carbonated type. When water concentrates, it evolves to a sodic sulphated type. The general<br />

evolution corresponds to a neutral saline type.<br />

Statistical Approach on chemical variability<br />

The convenience <strong>of</strong> separate treatment for each watershed will be demonstrated in the next discussion.<br />

Statistical approach will take into account <strong>of</strong> this choice.<br />

ACP<br />

The first factorial plan <strong>of</strong> the ACP analysis represents more than the half (59%) <strong>of</strong> the data information<br />

with the following highlights:<br />

The first axis determines the maximum <strong>of</strong> inertia (41%). In this axis the electric conductivity, is<br />

opposed to low soluble and low controlled elements. This result is usual in arid and salt environments.<br />

The arsenic as well as sodium and sulphate concentrate while water evaporates in arid climate; water<br />

increases mineral content. This partially explains the high arsenic concentration in water.<br />

The arsenic in solution is low controlled and has a geochemical behaviour like soluble salt.<br />

Chloride and sodium as well as pH are in an intermediate position (figure 4).<br />

The second axis, opposes arsenic to sulphate with alkalinity. It acts <strong>of</strong> an axis translating the<br />

importance <strong>of</strong> mineralisations <strong>of</strong> major origin (sulphides, arsenides) in lithology. The abundance <strong>of</strong><br />

arsenic is associated that <strong>of</strong> the SO4. The deterioration <strong>of</strong> sulphides produces acidity which consumes<br />

alkalinity from where the Alc opposition/SO4 + As (figure 5).<br />

As regards principal component analysis applied to the second line flow, i.e. strong arsenic<br />

contents, the first axis <strong>of</strong> this representation determines the maximum <strong>of</strong> inertia (48.4%). As for the<br />

other line <strong>of</strong> flow, it acts <strong>of</strong> a climatic axis which opposes to conductivity opposes a very located<br />

group: arsenic, sulphates, sodium, calcium and electric conductivity with copper, lead, zinc and<br />

alkalinity. Arsenic is not controlled, it behaves like a soluble salt (a behavior <strong>of</strong> a tracer), it<br />

concentrates with the evaporation <strong>of</strong> water.<br />

For this line <strong>of</strong> flow, the importance <strong>of</strong> the climatic aridity on the quality <strong>of</strong> water is a little<br />

stronger than for the other line <strong>of</strong> flow. Axis 2 opposes to lead, arsenic, sulphates with pH. As for the<br />

other line <strong>of</strong> flow, it acts <strong>of</strong> an effect <strong>of</strong> lithology.<br />

For this line <strong>of</strong> flow, the importance <strong>of</strong> the climatic aridity on the quality <strong>of</strong> water is a little<br />

stronger than for the other line <strong>of</strong> flow.<br />

Metals, arsenic and SO4 have the same origin, i.e. a major origin probably related to the<br />

mineral increase associated volcanicity.<br />

As regards the ACP STATE applied to the globality <strong>of</strong> the samples <strong>of</strong> water, i.e. for the two<br />

lines <strong>of</strong> flow confused, the results are comparable, but the inertia <strong>of</strong> the climatic axis decreases with the<br />

pr<strong>of</strong>ile <strong>of</strong> the lithological axis. This result shows that the two lines <strong>of</strong> flow are thus characterized by a<br />

lithology the different upstream which generates at the beginning <strong>of</strong> the different contents arsenic, then<br />

evaporation concentrates arsenic in the two lines <strong>of</strong> flow.


877 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

Figure 4: Analyzes factorial correspondences <strong>of</strong> the various elements (First line <strong>of</strong> flow)<br />

Figure 5: Analyzes factorial correspondences <strong>of</strong> the various elements (Second line <strong>of</strong> flow)<br />

Figure 6: Distribution <strong>of</strong> the frequencies <strong>of</strong> the two arsenic pennies groups <strong>of</strong> the As/SO4 report/ratio<br />

Sulphate seems to be the most mobile element and nearest to electric conductivity. It could be<br />

used as a concentration tracer.


Toxicity <strong>of</strong> Arsenic in the Ground Water <strong>of</strong> Comarca-Lagunera (Mexico) 878<br />

Geochemical approach<br />

Concentration diagrams: the aridity effect<br />

The concentration diagrams let classify water by increasing concentrations. When an element<br />

concentrates proportionally to the solution volume reduction, the slope <strong>of</strong> its dots is 1. This behaviour<br />

like a chemical tracer has not reaction between mineral and liquid phases. In this study case, the<br />

sulphate ion as well as sodium, chloride, magnesium and arsenic ions looks like tracers in a first<br />

approximation (fig.7). The arsenic content evolves mainly by concentration; it seems that there are not<br />

mineral precipitations limiting its concentration increasing; this can be related to the climate aridity.<br />

However the slope concentrations for chloride and sodium are lower than 1. This means that, from<br />

weak concentrations, the increasing concentrations for sodium are not completely proportional to the<br />

variation <strong>of</strong> the solution concentration factor; this mechanism implies probably ADSORPTION by<br />

clays. This phenomenon is very frequent in this salt environment studied by Gonzalez Barrios (1992).<br />

It is accompanied by a magnesium ADSORPTION process. The chloride behaviour can be related to<br />

its formation <strong>of</strong> iron oxi-hydroxides (green rusts) with partial substitution <strong>of</strong> OH- ions (Trolard, F et<br />

al., 1996, Condom, N. 2000). However, the intensity <strong>of</strong> this control is light.<br />

In this group <strong>of</strong> chemical elements, magnesium and arsenic present a strong dispersion <strong>of</strong><br />

observed points around the average tendency. Concerning arsenic, it was possible to treat separately<br />

two groups <strong>of</strong> points based on As/SO4 ratios which can be separated statistically. The bimodal<br />

character <strong>of</strong> the As/SO4 ratio frequencies (fig 6) makes possible to separate these two sub-groups.


879 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

Figure 7: Diagrams <strong>of</strong> concentration <strong>of</strong> the various elements<br />

The data treatment on concentration diagrams (fig. 7), shows two groups <strong>of</strong> points with a<br />

similar slope value (next to 1) and a weak dispersion around the regression line. This result suggests<br />

the existence <strong>of</strong> at least two lines <strong>of</strong> hydro-chemical flows under aridity conditions, with different<br />

initial arsenic content. The increasing coefficient <strong>of</strong> correlation in these two groups supports this<br />

interpretation (R² goes from 0.6 to 0.81 and 0.59).<br />

Thus, alkalinity remains stable and calcium concentration increases but less than tracer<br />

concentrations (Fig.7).<br />

This evolution can be explained by the calcite precipitation. According to the generalized<br />

residual alkalinity law (presented in the materials and methods), this mineral precipitates while water<br />

are concentrating. Alkalinity decreases or steel stable, and the calcium concentration increases, but less


Toxicity <strong>of</strong> Arsenic in the Ground Water <strong>of</strong> Comarca-Lagunera (Mexico) 880<br />

than the concentration factor. This is in conformity with the results obtained. The precipitation <strong>of</strong><br />

calcite will be confirmed with the balance diagram <strong>of</strong> solution/calcite.<br />

With constant CO2 content the reduction <strong>of</strong> alkalinity should increase the pH, by a reduction <strong>of</strong><br />

the H + content. In deed the mol concentration <strong>of</strong> this element increases with water concentration. It<br />

should be explained by a gradual concentration <strong>of</strong> CO2 in water which reflecting a space variability <strong>of</strong><br />

the water tables. Indeed, when the medium is under water the gases exchanges are reduced. It results a<br />

weak content <strong>of</strong> O2 and a high content <strong>of</strong> CO2.<br />

The data concerning metals like Zn, Pb, Cd and Cu are limited and interpretation will be related<br />

primarily to Zn and Pb that are elements better know (Fig.7). The lead concentrations are remarkably<br />

stables, the slope <strong>of</strong> the fitted points is close to 0, reflecting a mechanism <strong>of</strong> strong chemical control <strong>of</strong><br />

Pb concentrations. It is probably the result <strong>of</strong> a mineral precipitation (oxyde/hydroxyde or sulphate<br />

kind). The study <strong>of</strong> balance diagrams will let to identify the kind <strong>of</strong> this mineral precipitation.<br />

Concerning the zinc, its variability is more important than Pb and its concentration tendency is less<br />

stable. This must be due to mineral precipitation as well, but less systematic than lead.<br />

The concentration diagrams show the global concentration <strong>of</strong> water from upstream to<br />

downstream into hydrological flows. Chemical mechanisms <strong>of</strong> mineral precipitations are suggested but<br />

they must be confirmed by the balance diagrams.<br />

Conclusion<br />

This work is based on the analysis <strong>of</strong> 51 groundwater samples <strong>of</strong> the Comarca Lagunera region <strong>of</strong><br />

northern arid <strong>of</strong> Mexico exposed to a health risk because <strong>of</strong> high arsenic concentration in groundwater<br />

used for irrigation and some <strong>of</strong> them for drinking water under rural and marginal conditions.<br />

The methods used from statistics to chemical equilibrium modelling and sanitary risk<br />

assessment, allow to quantify the health risk and its variability.<br />

The origin <strong>of</strong> arsenic pollution seems to be from dissolution <strong>of</strong> deep volcanic rocks in the<br />

mountains. The importance <strong>of</strong> this dissolution is variable according to lithological characteristics <strong>of</strong> the<br />

catchments. This induces geographical differences for the health risk assessment. Moreover the climate<br />

aridity causes water evaporation and concentration <strong>of</strong> soluble salts such as arsenic. The statistical<br />

approach shows that climate aridity is the main process related to high arsenic contents observed in this<br />

area. This is reflected in a health risk that increases from upstream to downstream where low areas are<br />

located.<br />

When groundwater goes from upstream to downstream it transit by different ventilation<br />

conditions: good conditions upstream and bad conditions downstream. This causes a differential<br />

expression <strong>of</strong> dissolved arsenic forms. Trivalent forms are more toxics than pentavalent forms and<br />

become dominants downstream where the highest arsenic concentrations are observed.<br />

In summary, it was possible to identify the origin <strong>of</strong> arsenic pollution, the main process<br />

responsible for its variability and the induced risk on the catchments area. Health risk related to arsenic<br />

is different upon the catchments area. However, the lack <strong>of</strong> referenced data concerning specific toxicity<br />

<strong>of</strong> arsenic forms, beyond the simple distinction between pentavalent and trivalent forms, does not let to<br />

validate the accurate health risk assessment obtained with thermodynamic models. This point could be<br />

a research line for the continuation <strong>of</strong> this work.


881 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

References<br />

[1] Al-Droubi, A., 1976. Geochemistry <strong>of</strong> salts and the solutions concentrated by evaporation -<br />

Model thermodynamic <strong>of</strong> simulation application on the salted ground <strong>of</strong> Chad, Th Doc. Sci.,<br />

Univ. Of Strasbourg, France, 177 pages.<br />

[2] Condom, N. 2000. Study and modeling <strong>of</strong> the transfers <strong>of</strong> water and aqueous solutions in the<br />

sodic grounds and the tablecloths <strong>of</strong> the Office <strong>of</strong> Niger to Mali. Thesis ENSAM, 180 pages.<br />

Dolique, R. 123PP. 1968-L' arsenic and its compounds. Published by the university presses <strong>of</strong><br />

France.<br />

[3] Gonzalez-Barrios, J.L., 1992. Water <strong>of</strong> irrigation and salinity <strong>of</strong> the grounds in Mexican arid<br />

region: example in "Comarca Lagunera", Th Doc. Sci., University <strong>of</strong> Montpellier II, France,<br />

316 pages.<br />

[4] Ribolzi, O, Valles, V and Bariac, T, 1996. Comparison <strong>of</strong> hydrograph deconvolutions using<br />

residual alcalinity, chloride and oxygen 18 aces hydrochemical tracers. Resour Toilets. LMBO,<br />

32, 4, 1051-1059.<br />

[5] Trolard F, Génin J.M.R., Abdelmoula Mr., Bourrié G, Humbert B and Herbillon A. (1997)<br />

Identification <strong>of</strong> green rust in A reductomorphic soil by Romance Mössbaner and<br />

spectroscopiés. Géochimica and Casmochimica Acta, 61, 1107-1111.<br />

[6] Valles V and A.M. <strong>of</strong> Cockborne - 1992- Development <strong>of</strong> a s<strong>of</strong>tware <strong>of</strong> geochemistry applied<br />

to the study cde the quality <strong>of</strong> water. Seminar "Deterioration and restoration <strong>of</strong> the quality <strong>of</strong><br />

inland waters" Port-Leucate October 1-2, 1992, 20-23.<br />

[7] Valles V, M Rezagui, L Auque, A Semadi, L Roger, H. Zougari, 1997. Geochemistry <strong>of</strong><br />

saltworks slois in two arid zones <strong>of</strong> the Mediterranean basin. Geochemistry <strong>of</strong> the Chott<br />

Melghir-Mehrouane watershed in Algeria. Arid Soil <strong>Research</strong> and Rehabilitation (the USA):<br />

11:71-84.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.882-890<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Modeling and Temperature Controller Design for<br />

Yazd Solar Power Plant<br />

Aref Shahmansoorian<br />

Islamic Azad University <strong>of</strong> IEslamshahr<br />

E-mail: a_shahmansoorian@iiau.ac.ir<br />

Abdolvahed Saidi<br />

National Iranian Oil Company-OGPC Department<br />

E-mail: saidi@nioc.org<br />

Abstract<br />

The Yazd Integrated Solar Combined Cycle (ISCC) Power Plant consists <strong>of</strong> two gas<br />

turbines that are generating power synchronous to Iranian national electrical network. One<br />

steam turbine will be supplied by gas units, while a parabolic through solar field is<br />

integrated with the system, as a combined cycle. In this paper an integrated model <strong>of</strong> the<br />

solar field with the purpose is presented, and a multivariable generalized predictive<br />

temperature controller is proposed for the system. As it is illustrated in the simulation<br />

results, such a control strategy can robustly regulate both the temperature <strong>of</strong> outlet oil, and<br />

the temperature <strong>of</strong> outlet steam water <strong>of</strong> the solar boiler, despite the variation <strong>of</strong> the<br />

inherent time delays <strong>of</strong> the system and external disturbances.<br />

Keywords: ISCC power plant, Solar Field, heat exchanger, modeling, multivariable GPC.<br />

I. Introduction<br />

The feasibility studies and technical specification <strong>of</strong> an integrated solar combined cycle power plant<br />

has been recently completed, and this type <strong>of</strong> power plant will be constructed in the city <strong>of</strong> Yazd in<br />

near future [15]. This power plant is designed with two steam turbines, two gas turbines and a solar<br />

field which supplies excess steam for steam turbines. The solar field consist <strong>of</strong> parabolic through<br />

collectors, solar boiler, pumps, control valves and an expansion vessel. The solar field itself possess 84<br />

loops with eight collectors in each loop[16]. The collector has parabolic mirrors which focus the sun<br />

beams directly on the oil pipe, and the solar collectors are equipped with a sun tracker system. The oil<br />

enters the solar field with the temperature <strong>of</strong> 230ºC and depart from it with the temperature <strong>of</strong> 391ºC.<br />

The outlet oil from solar field enters a special heat exchanger named solar boiler, in which the<br />

accumulated heat in the solar field exchanges the supplied water into superheated steam[17].<br />

The solar boiler consist <strong>of</strong> three exchangers that preheating, evaporating and superheating the<br />

water in three stage. The oil enters the superheater stage at 391ºC/15bar and depart from preheater<br />

stage at 293ºC/11bar. The supplied water enters the preheater with 235ºC/105bar and depart the<br />

superheater with 380ºC/102 bar. The inverse direction heat exchanger is chosen in order to increase the<br />

rate <strong>of</strong> heat transfer. The necessary pressure for oil is provided with 3 pumps, which one <strong>of</strong> them is<br />

standby. The type <strong>of</strong> tank in the solar field is an expansion vessel that the inlet pressure is fixed with


Modeling and Temperature Controller Design for Yazd Solar Power Plant 883<br />

nitrogen. The control valves are regulating the oil flow for temperature control. Figure (1) illustrates<br />

the schematics <strong>of</strong> an ISCC power plant [12].<br />

Figure 1: Integrated Solar Combined Cycle Power Plant<br />

II. Solar Field Modeling<br />

In order to have a tractable and complete model <strong>of</strong> the solar field it is necessary to model the heat<br />

exchanger and the solar collectors in detail [1]. In this section the proposed models for these<br />

components are studied.<br />

A. Solar Collector Model<br />

The designed solar collector consists <strong>of</strong> double steel/glass pipe with vacuum insulation. The collector<br />

mirrors absorb a fraction <strong>of</strong> solar beam energy, and focuses the rest on the aforementioned oil pipes at<br />

the center <strong>of</strong> parabolic through. The heat energy is transferred to the oil through convection,<br />

conduction and radiation [14].<br />

Figure 2: circuit model <strong>of</strong> heat transfer<br />

Since the radiation heat transfer relates the rate <strong>of</strong> heat transfer to the fourth power <strong>of</strong> the<br />

temperature, in order to compensate for the temperature losses, a global coefficient <strong>of</strong> thermal losses is<br />

defined as below:<br />

Qloss<br />

Hl<br />

= (1)<br />

( Ts<br />

−Tamb)<br />

In which T s and T are the oil pipe surface and the ambient temperatures, respectively. The<br />

amb<br />

Heat loss factor, H can be obtained from calibration experiments, and can be assumed constant with a<br />

l<br />

sufficient degree <strong>of</strong> accuracy. Considering the heat loss in the collectors as elaborated, the dynamic<br />

equation <strong>of</strong> solar field heat transfer is given as following [4]:<br />

∂Ts<br />

ρ η IG H G T T ) LH ( T T )<br />

(2)<br />

Cs As<br />

= opt − l ( s − amb − t s − f<br />

∂t<br />

s<br />

This equation contains the absorbed energy <strong>of</strong> the oil pipe, the transferred energy to the oil and<br />

the heat loss to ambient. The left hand side <strong>of</strong> the equation determines the temperature variation <strong>of</strong> the<br />

metal pipe surface, in the condition while the thermal equilibrium has not been reached. The first term


884 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

in the right hand side determines the volume <strong>of</strong> radiation energy that oil pipe has received, the second<br />

term shows the ambient heat loss, and the third term evaluates the oil absorbed energy. The amount oil<br />

absorbed energy can be determined by the following [4]:<br />

∂T f<br />

∂T<br />

• f<br />

ρ f C f A f + ρ f C f q = LH t ( Ts<br />

− T f )<br />

(3)<br />

∂t<br />

∂x<br />

In this equation the first term in LHS governs the temperature variation <strong>of</strong> the oil with respect<br />

to time, and the second term governs the temperature variation with respect to the movement <strong>of</strong> oil.<br />

Since the governing heat transfer equations are partial differential equations, for the purpose <strong>of</strong> control<br />

they are discretized with the assumption <strong>of</strong> the temperature being fixed along each collector, using<br />

finite element method.<br />

ΔT<br />

η s =<br />

Δt<br />

ρ<br />

opt . G K<br />

1<br />

I − ( Ts<br />

−Tamb<br />

sC<br />

s As<br />

ρ sC<br />

s As<br />

s s s<br />

• ΔT<br />

f m<br />

LH t<br />

= ( T f −T<br />

− ) + ( Ts<br />

−T<br />

f )<br />

f<br />

Δt<br />

ρ A<br />

ρ C A<br />

B. Heat Exchanger Model<br />

f<br />

f<br />

f<br />

f<br />

f<br />

K<br />

) − ( Ts<br />

−T<br />

f )<br />

ρ C A<br />

In order to model the heat exchanger, the inlet pressure is assumed to be constant [12,14]. The<br />

governing equations can then be classified into two set <strong>of</strong> equations for temperature variations and<br />

phase variations. It is assumed that in the preheater and superheater stages, there are no phase change,<br />

and hence, the governing equations are due to the temperature variation. In the preheater there is only<br />

temperature rise in water, while in superheater the temperature increase occurs on the steam [17]. The<br />

boiler design conditions guarantees that the water is entering the preheater with the temperature <strong>of</strong><br />

293ºC and will depart it with the temperature <strong>of</strong> 314ºC. In steam generator water exchange to steam<br />

with the temperature <strong>of</strong> 314ºC and in superheater saturated steam is heated to the temperature <strong>of</strong><br />

380ºC. Note that the governing equation <strong>of</strong> heat exchanger is also in the form <strong>of</strong> partial differential<br />

equation. For control purpose the governing equations are discretized using finite element method with<br />

three nodes. The governing equation <strong>of</strong> oil behavior in each node is as follows [13, 18]:<br />

dToil<br />

ρoilVoilCoil = ρoilCoilFoil<br />

( Toil( out) −Toil(<br />

in)<br />

)<br />

dt<br />

K ⎡<br />

⎣( Toil( out) −Twater( out) ) −( Toil( in) −Twater(<br />

in)<br />

) ⎤<br />

⎦<br />

(5)<br />

−<br />

⎛Toil( out) −T<br />

⎞<br />

water( out)<br />

Ln ⎜<br />

⎟<br />

T −T<br />

⎟<br />

⎝ oil ( in) water( in)<br />

⎠<br />

the left side term <strong>of</strong> the above equation showes the temperature variation <strong>of</strong> oil in time, the first term <strong>of</strong><br />

right, show the temperature variation <strong>of</strong> oil in effect <strong>of</strong> moving oil between pipes <strong>of</strong> energy absorber in<br />

any stage. The second term <strong>of</strong> right side shows the rate <strong>of</strong> heat transfer from oil to water. The equation<br />

that gives the thermodynamical behavior <strong>of</strong> water (steam) in pre heater and super heater is shown as<br />

equation (6).<br />

In which it is assumed that the temperature in those stages are fixed and only temperature<br />

variations occurs at the transient <strong>of</strong> one stage to another. Similarly, the equation that gives the<br />

thermodynamical behavior <strong>of</strong> water (steam) in preheater and superheater in this case, is [13, 18]:<br />

dTwater<br />

ρwaterVwaterCwater =−ρwaterCwater Fwater( Twater ( out ) −Twater(<br />

in)<br />

)<br />

dt<br />

K⎡( T<br />

+<br />

−T ) −( T −T<br />

) ⎤<br />

⎣ oil ( out ) water ( out) oil( in) water ( in)<br />

⎦<br />

⎛Toil ( out ) −T<br />

⎞<br />

water( out)<br />

Ln ⎜<br />

⎟<br />

Toil ( in) T ⎟<br />

⎝ − water ( in)<br />

⎠<br />

In the equation (6) we assume that temperature in each section is fixed (temperature is variation<br />

just in cross from section to another section). It should be considered that in this equation, the physical<br />

characteristic <strong>of</strong> water in pre heater has been assumed fixed because <strong>of</strong> the small variation in these<br />

parameters.<br />

(4)<br />

(6)


Modeling and Temperature Controller Design for Yazd Solar Power Plant 885<br />

In this equation the physical properties <strong>of</strong> the water is assumed to be fixed in the preheater.<br />

Whereas, the physical properties <strong>of</strong> steam in the superheater show larger variation, and hence, must be<br />

taken into account. To include this variation into the system dynamics the changes <strong>of</strong> C, ρ (density and<br />

specific thermal capacity) is considered by the following equations into the model. (For a detail<br />

discussion on the modeling refer to [6].<br />

P<br />

R<br />

ρ steam =<br />

R =<br />

RT<br />

18<br />

(7)<br />

kN . m<br />

R = 8.<br />

3145 ( )<br />

kmol . K<br />

0.<br />

25<br />

0.<br />

5<br />

C = 143.<br />

05−183.<br />

54θ<br />

+ 82.<br />

751θ<br />

− 3.<br />

6989θ<br />

(8)<br />

C<br />

C steam =<br />

18 . 015<br />

(9)<br />

θ = T ( Kelvin ) / 100<br />

The equation that gives the thermo-dynamical behavior <strong>of</strong> saturated steam in steam generator is<br />

shown in the equation (10):<br />

[ ]<br />

( ) •<br />

• •<br />

K2<br />

( TH1<br />

−TC<br />

2)<br />

−(<br />

TH<br />

2 −Tc1<br />

)<br />

= moho<br />

−mi<br />

hi<br />

+ mcvu<br />

(10)<br />

TH1<br />

−Tc<br />

2<br />

Ln(<br />

)<br />

TH<br />

2 −Tc1<br />

• • •<br />

m o = mi<br />

− m cv<br />

• •<br />

In this equation m i , m o , m cv<br />

•<br />

are flow <strong>of</strong> inlet water, flow <strong>of</strong> outlet water and variation <strong>of</strong><br />

control value respectively. h is enthalpy <strong>of</strong> steam and u is energy <strong>of</strong> mass unit. The left side term <strong>of</strong><br />

above equation is rate <strong>of</strong> heat transfer from oil to water. The first two terms <strong>of</strong> right, showes the<br />

variation <strong>of</strong> thermal power <strong>of</strong> saturated steam in cross <strong>of</strong> control value, and the last term showes the<br />

variation <strong>of</strong> energy in control volume [9, 10].<br />

III. Controller Synthesis<br />

The solar field is a nonlinear, multivariable system possessing long and varying time delays. For this<br />

class <strong>of</strong> systems the predictive control methods are suitable. These types <strong>of</strong> controller are the most<br />

attractive controllers for process control practitioners, after common PID controllers [3, 7]. In this<br />

paper a multivariable GPC routine is proposed for temperature control <strong>of</strong> the system. The time delay in<br />

the system is caused by the installation distance ( x ) between the actuators and the sensors in the<br />

system. Hence, the time delay is related to the fluid speed and distance between the sensor and pump,<br />

as follows:<br />

x<br />

τ =<br />

ν<br />

•<br />

•<br />

m<br />

m = ρQ<br />

= ρAv<br />

⇒ν<br />

=<br />

ρA<br />

ρAx<br />

ρV<br />

⇒τ<br />

= = =<br />

• •<br />

m m<br />

∑<br />

ρ V<br />

m<br />

A. System Identification and parameter estimation<br />

i<br />

•<br />

i<br />

The solar field is a two-input two output system, from a control point <strong>of</strong> view. The system inputs are<br />

the oil and water flow rates and its outputs are the oil and water temperatures. From the well known<br />

identification techniques, the transfer matrix <strong>of</strong> the system can be obtained from simulated input output<br />

pairs <strong>of</strong> the system. The identified model <strong>of</strong> the system has been derived as following:<br />

(11)


886 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

−1<br />

⎡ k11z<br />

−d<br />

0 ⎤<br />

11<br />

⎢ z −1<br />

⎥<br />

−1<br />

⎢1+<br />

T11z<br />

G ' ( z ) =<br />

⎥<br />

(12)<br />

−1<br />

−1<br />

⎢ k 21z<br />

k<br />

−<br />

− ⎥<br />

21 22 z<br />

d<br />

d 22<br />

⎢ z<br />

z<br />

−1<br />

−1<br />

⎥<br />

⎣1+<br />

T 1+<br />

T<br />

21z<br />

22 z ⎦<br />

As it is clear from the structure <strong>of</strong> the identified model, the water temperature is almost not<br />

related to the outlet oil temperature (G12=0), and this weak relation can be modeled as a disturbance to<br />

the system. The other components are simply modeled with a first order system with a time varying<br />

time delay. This structure <strong>of</strong> the model can be used for the GPC synthesis.<br />

B. Design <strong>of</strong> multivariable GPC controller<br />

The controller design consists <strong>of</strong> three steps. A) prediction model determination. B) Objective function<br />

assignment and C) control law calculation. The prediction model for the system can be derived from<br />

the equation (12), in which the model is rewritten in the form <strong>of</strong> :<br />

− 1<br />

−1<br />

e(<br />

t)<br />

A ( q ) y(<br />

t)<br />

= B(<br />

q ) u(<br />

t −1)<br />

+<br />

(13)<br />

Δ<br />

In which u (t)<br />

is control signal and y (t)<br />

is the process output as the vector <strong>of</strong> oil and water<br />

−1<br />

−1<br />

−1<br />

temperatures. Moreover, e (t)<br />

is measurement noise with zero mean and Δ = 1−<br />

q . A ( q ) , B ( q ) are the<br />

polynomial matrices with degree n A and n B respectively. The Objective function to be minimized has<br />

the form <strong>of</strong> :<br />

∑ ∑[<br />

] ∑[<br />

]<br />

= = =<br />

⎭ ⎬⎫<br />

m N ⎧ 2<br />

N u<br />

2<br />

2<br />

(14)<br />

J = ⎨ri<br />

y i ( t + j)<br />

− wi<br />

( t + j)<br />

+ λ Δu(<br />

t + j −1)<br />

i 1 ⎩ j 1<br />

j 1<br />

Or in matrix form:<br />

T<br />

T<br />

J = y − w R y − w + λ Δu<br />

Δ<br />

(15)<br />

[ ] [ ] u<br />

In which N is the maximum <strong>of</strong> prediction horizon and 2<br />

N is the control horizon. λ is the<br />

u<br />

penalty coefficient and R is the weighting matrix <strong>of</strong> errror signal. In order to generate the control<br />

signal, the future outputs <strong>of</strong> the system is predicted by the following equation:<br />

ˆy = GΔ u+ f<br />

(16)<br />

In which, f is the free response <strong>of</strong> the system and G includes the step response parameters.<br />

The optimal solution for the control signal to minimize the cost function (15), while preserving closed<br />

loop stability is calculated from the following equation.<br />

[ ]<br />

T<br />

1<br />

T<br />

λ −<br />

Δ u= I 0 � 0 ⎡<br />

⎣G RG+ I⎤ ⎦ RG ( w− f)<br />

(17)<br />

C. Parameter Tuning in Multivariable GPC<br />

The tuning <strong>of</strong> the controller parameters is mostly based on experience, and the simulation <strong>of</strong> the closed<br />

loop response. The designer has the freedom to tune either the cost function weighting, or change the<br />

disturbance dynamics, observer dynamics, the desired trajectory and finally the prediction and control<br />

Horizons. More penalizing λ on the control effort and R on the tracking error will reduce the control<br />

effort. The structure <strong>of</strong> the model is fixed in this method and only the noise levels can be assigned to<br />

−1<br />

−1<br />

−1<br />

tune the performance. However, from the inherent integrator form <strong>of</strong> D ( z ) = ( 1 − z ) A(<br />

z ) forces the<br />

error <strong>of</strong> the closed loop system to a step disturbane to converge asymptotically to zero [8, 11].<br />

IV. Closed-Loop Simulation Result<br />

The designed controller for the system has the parameters 1 2<br />

functions are tuned through the simulation to:<br />

N = 6, N = 37, N = 3 and the weighting<br />

u


Modeling and Temperature Controller Design for Yazd Solar Power Plant 887<br />

Q<br />

i<br />

⎡1<br />

= ⎢<br />

⎣0<br />

0 ⎤<br />

⎥,<br />

1⎦<br />

R<br />

i<br />

⎡3.<br />

5<br />

= ⎢<br />

⎣0<br />

0⎤<br />

0.<br />

2<br />

⎥<br />

⎦<br />

Moreover, the time delays for the oil and water is calculated from the design condition<br />

(NDI=900 w/m 2 ) and the system pipe length to constant values <strong>of</strong> 35 and 50 times the sampling time,<br />

respectively. The time constant <strong>of</strong> the system model is identified to be ten seconds. The closed loop<br />

response <strong>of</strong> the system using GPC controller is compared to that using PI controller with the controller<br />

gains: kp = 0.04, ki<br />

= 0.007 . The variation <strong>of</strong> solar radiation is considered as a constant disturbance and<br />

illustrated in figure (3). In this simulation the solar radiation is changed from 900 to 800 w/m 2 and its<br />

effect on the oil and water temperature is illustrated in figure (3). Due to the larger time delays in oil<br />

path compared to that in the water path, the water temperature output shows a faster response.<br />

However, both oil and water temperatures are rejecting the effect <strong>of</strong> disturbance with PI and GPC<br />

controllers. Although the overall performance <strong>of</strong> two controllers are relatively desirable the coupling <strong>of</strong><br />

two quantities have greater impact on the PI controller compared to that on GPC design.<br />

Figure 3: The effect <strong>of</strong> solar radiation on the response<br />

405<br />

400<br />

395<br />

390<br />

385<br />

380<br />

375<br />

370<br />

PI<br />

Effect <strong>of</strong> Variation in NDI<br />

365<br />

100 120 140 160 180 200<br />

time<br />

220 240 260 280<br />

In figure (4) the effect <strong>of</strong> measurement noise is illustrated on the response. GPC controller is<br />

effectively rejecting the noise effect, due to its predictive nature. Figure (5) illustrates the effect <strong>of</strong><br />

leakage in oil and water pipes. In this case it is assumed that the oil leakage occurs on the path before<br />

entering the solar field and the water leakage occurs before entering the heat exchanger. Due to this<br />

failure in the system the temperature <strong>of</strong> oil and water is observed just after the leakage happens.<br />

However, the controller is able to regulate the temperature, in spite <strong>of</strong> the failure.<br />

GPC


888 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

Figure 4: The effect <strong>of</strong> measurement noise on the response<br />

430<br />

420<br />

410<br />

400<br />

390<br />

380<br />

370<br />

360<br />

350<br />

Effect <strong>of</strong> Noise<br />

50 100 150 200 250<br />

time<br />

Real Temperature <strong>of</strong> Oil<br />

Real Temperature <strong>of</strong> Steam<br />

Temperature <strong>of</strong> Oil(after mesurment)<br />

Temperature <strong>of</strong> Steam(after mesurment)<br />

The superior performance <strong>of</strong> the GPC controller is also observed in this simulation. Figure (6)<br />

illustrates the change in the system delay as a result <strong>of</strong> flow rate change due to the leakage. It is<br />

observed that the system delay increases as the flow rates increased, as expected.<br />

Figure 5: The effect <strong>of</strong> leakage on oil and steam temperature<br />

V. Conclusions<br />

In this paper a multivariable predictive control algorithm is proposed for the solar power plant. It is<br />

shown that due to the existance <strong>of</strong> large and variable time delays in the temperature outputs <strong>of</strong> the heat<br />

exchanger <strong>of</strong> the power plant, and the coupling between the oil and water temperature <strong>of</strong> it, a<br />

multivariable GPC controller is effectively regulating the system outputs, despite disturbances,<br />

measurement noise, and leakage. The predictive structure <strong>of</strong> the controller make it less sensitive to the<br />

varying time delays. The proposed controller is able to not only preserve the stability <strong>of</strong> the system, but<br />

also the performance <strong>of</strong> the system with the presence <strong>of</strong> disturbance and measurement noise.


Modeling and Temperature Controller Design for Yazd Solar Power Plant 889<br />

VI. Nomenclature<br />

Figure 6: The Variation <strong>of</strong> delay in effect <strong>of</strong> flow variation<br />

ρ s Density <strong>of</strong> oil pipe (kg/m 3 )<br />

•<br />

q Oil flow (m 3 /s)<br />

Cs Specific thermal capacity <strong>of</strong> oil pipe (J/kg ºC)<br />

G Width <strong>of</strong> collector (m)<br />

As Area <strong>of</strong> metal pipe (m 2 )<br />

Ht Heat transfer coefficient from pipe to oil (W/m 2 ºC)<br />

ρ f<br />

3<br />

Density <strong>of</strong> oil (kg/m )<br />

L Inner diameter <strong>of</strong> oil pipe (m)<br />

C Specific thermal capacity <strong>of</strong> oil (J/kg ºC)<br />

f<br />

I Sun direct radiation (W/ m 2 )<br />

V Volume <strong>of</strong> fluid path (m 3 )<br />

•<br />

m Mass flow <strong>of</strong> fluid(kg/s)<br />

Af Inner cross area <strong>of</strong> oil pipe (m 2 )<br />

Tf<br />

Tf<br />

Oil temperature along one collector (ºC)<br />

- Oil temperature along previous collector (ºC)<br />

Ts Temperature <strong>of</strong> oil pipe (ºC)<br />

η Optical efficiency <strong>of</strong> mirrors<br />

opt<br />

x Distance <strong>of</strong> sensor from control valve (m)<br />

HL Thermal loss coefficient (W/m 2 ºC)<br />

v Oil velocity (m/s)<br />

ρ Fluid density(kg/m 3 )<br />

Flow (m 3 /s)<br />

Q<br />

A cross area <strong>of</strong> fluid pipe (m 2 )


890 Faten Semadi, Vincent Valles and Jose Luis Gonzalez Barrios<br />

References<br />

[1] A.W. ordys – A.W. pike - M. A. Johnson – R.M.katebi and M.J.Grimble.“Modeling and<br />

simulation <strong>of</strong> Power Generation Plants” Springer-verlag 1994<br />

[2] A.Saidi “Solar Field Modeling and Temperature Control <strong>of</strong> Yazd ISCC Power Plant” Master<br />

thesses, K.N.Toosi,University <strong>of</strong> technology,2002<br />

[3] Donna M.Schneider “Control <strong>of</strong> Process with Time Delays” IEEE Transactions on Industry<br />

Applications Vol.24No.2,March/Appril-1988<br />

[4] E.F Comacho – M. Berenguel and F.R. Rubio. “Advanced Control <strong>of</strong> Solar Plant” Springerverlag<br />

1997<br />

[5] E.F.Camacho and C.Bordons “Model Predictive Control in the Process Industry” Springer-<br />

Verlag,1995<br />

[6] Gordon van wylen- Richard Sonntag- claus Borgnakke “Fundamentals <strong>of</strong> Classical<br />

Thermodynamics” fourth Edition<br />

[7] J.E. Marshall “Control <strong>of</strong> time – delay systems.” Institution <strong>of</strong> Electrical Engineers 1979<br />

[8] J.M.Maciejowski “Predictive Control with constraint” Prentice Hall-2002<br />

[9] Jonas Eborn and Karel Johan Astrom. “Modeling <strong>of</strong> a Boiler Pipe with Two-Phase Flow<br />

Instabilities” www.control.lth.sel~kja/rodpaper.pdf<br />

[10] K.J Astrom – R.D. Bell. “Drum – Boiler Dynamics”1998 www.control.lth.sel~kja/rodpaper.pdf<br />

[11] O.Bego,N.Peric “Decoupling Multivariable GPC with Reference Observation” 10 th<br />

Mediterranean Electrical Conference, MeleCon 2000,Vol. II<br />

[12] Pilkington (Solar International) “Status Report on Solar Thermal Power Plants”. www.<br />

Pilkington .com<br />

[13] Pierre Bélanger “Control engineering: a modern approach” Saunders College Pub.1995.<br />

[14] Sandia Co. “Test Results SEGS LS-2 Solar Collector” Technical Report www.Sandia.gov.<br />

1994<br />

[15] S.R.Hosseini “Report <strong>of</strong> feasibility study (Technical and Economical) <strong>of</strong> yazd solar thermal<br />

power plant” NRI.2000<br />

[16] S.R.Hosseini “Report <strong>of</strong> solar field design in yazd solar thermal power plant” NRI.2000<br />

[17] S.R.Hosseini “Report <strong>of</strong> solar boiler design in yazd solar therma power plant” NRI 2000<br />

[18] V.Ganapathy “Steam Plant Calculation Manual.” Marcel Dekker1984


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.891-904<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

A Predictive Current Control Technique on Fuel Cell Based<br />

Distributed Generation in a Standalone AC Power Supply<br />

K. G. Firouzjah<br />

Faculty <strong>of</strong> Electrical & Computer Engineering, Noshirvani University <strong>of</strong> Technology<br />

Shariati Street, Babol, Iran, P. O. Box 47135-484<br />

E-mail: kgorgani@stu.nit.ac.ir<br />

Tel: +98-111-323-9214; Fax: +98-111-323-9214<br />

H. Eshaghtabar<br />

Faculty <strong>of</strong> Electrical & Computer Engineering, Noshirvani University <strong>of</strong> Technology<br />

Shariati Street, Babol, Iran, P. O. Box 47135-484<br />

Tel: +98-111-323-9214; Fax: +98-111-323-9214<br />

A. Sheikholeslami<br />

Faculty <strong>of</strong> Electrical & Computer Engineering, Noshirvani University <strong>of</strong> Technology<br />

Shariati Street, Babol, Iran, P. O. Box 47135-484<br />

Tel: +98-111-323-9214; Fax: +98-111-323-9214<br />

S. Lesan<br />

Faculty <strong>of</strong> Electrical & Computer Engineering, Noshirvani University <strong>of</strong> Technology<br />

Shariati Street, Babol, Iran, P. O. Box 47135-484<br />

Tel: +98-111-323-9214; Fax: +98-111-323-9214<br />

Abstract<br />

This research presents a new method based on predictive current control (PCC) <strong>of</strong><br />

fuel cell based distributed generation systems (DGS) in a standalone AC power supply. To<br />

boost low output DC voltage <strong>of</strong> the fuel cell to high DC voltage and compensate for its<br />

slow response during the transient, two full-bridge DC to DC converters are adopted and<br />

their controllers are designed based on PCC. The proposed method produces the reference<br />

current by using <strong>of</strong> the DC link capacitor voltage. Thereupon the method determines the<br />

portion <strong>of</strong> fuel cell and backup battery to feed load and capacitor. The analysis results<br />

presented in this research demonstrate that the suggested method is capable to increase<br />

transient performance <strong>of</strong> adopted system in load and fuel cell output voltage variations.<br />

Simulations with MATLAB have been carried out to verify the proposed predictive current<br />

controller in mentioned application and the results are discussed in this research.<br />

Keywords: Fuel Cell, Distributed Generation, Predictive Current Control, DC-DC<br />

Converters, Backup Battery


A Predictive Current Control Technique on Fuel Cell Based Distributed<br />

Generation in a Standalone AC Power Supply 892<br />

1. Introduction<br />

Previous empirical research provides contradictory and inconclusive evidence on the value relevance<br />

<strong>of</strong> comprehensive income disclosures promulgated in different countries. Thus, present study using<br />

comprehensive income <strong>of</strong> Iranian firm's data shed more lights on the issue.<br />

Fuel cells are devices capable <strong>of</strong> converting chemical energy into heat and dc electrical energy<br />

by means <strong>of</strong> the oxidation <strong>of</strong> a fuel, usually hydrogen (Padulles et al, 2000). Distributed generation<br />

(DG) technologies can provide energy solutions to some customers that are more cost-effective, more<br />

environmentally friendly, or provide higher power quality or reliability than conventional solutions.<br />

The voltage <strong>of</strong> fuel cell stack decreases largely as the load current increase, and the voltage increases<br />

as the temperature increase at the same current. Thus DGS should be interfaced with Power Electronic<br />

systems such as DC to DC or/and DC to AC power converters to obtain a sinusoidal AC output voltage<br />

with fixed frequency from variable or high-frequency AC voltage sources or DC voltage sources<br />

(Haiping et al, 2005). So the DC-DC converter plays a key role in making the fuel cell DC power<br />

available for stand-alone applications.<br />

To boost low output DC voltage <strong>of</strong> the fuel cell to high DC voltage, a forward DC to DC boost<br />

converter, a push-pull DC to DC boost converter or an isolated full-bridge DC to DC power converter<br />

can be selected. In addition, various topologies such as the H-bridge series resonant buck and boost<br />

converters have been presented in (Blaabjerg et al, 2004). Anderson et al, (2002) present a current fed<br />

push-pull converter. This topology decreases the conduction losses in the switches due to the low fuel<br />

cell voltage. Nergaard et al, (2002) suggest an interleaved front-end boost converter. This topology<br />

considerably reduces the current ripple flowing into the fuel cell. A dual loop control strategy (current<br />

and voltage loop) has been used for the interleaved converter. Jung et al, (2005;2005) introduce a Zsource<br />

converter. This is a new concept in which a shoot-through vector directly steps up the DC<br />

source voltage without using a boost DC-DC converter. The boost voltage rate depends on the total<br />

duration <strong>of</strong> the shoot-through zero vectors over one switching period Jung et al, (2005). Also, In<br />

reference (Wang and Nehrir, 2006) a non-isolated boost converter with a conventional PI controller has<br />

been used for the converter control. Akkinapragada (2007) had been employed a non-isolated buckboost<br />

DC-DC converter with a closed loop PWM (pulse width modulation) control strategy as<br />

described in Reference (Mohan et al, ). The reference (Duran-Gomez et al, 2006) had been presented<br />

an approach to convert the generated dc output voltage <strong>of</strong> a PV cell array into a higher regulated dc<br />

voltage. The approach employs a series-combined connected boost and buck boost dc-dc converter for<br />

power conditioning <strong>of</strong> the dc voltage provided by a photo-voltaic array. Chandrasekaran and Gokdere<br />

(2004) introduce a novel composite integrated magnetic (IM) core structure, which minimizes inductor<br />

current ripple. Their subject is a compact, IM core structure for a three-phase interleaved, DC-DC<br />

boost converter that feeds <strong>of</strong>f the fuel cell output and can provide a programmable, regulated, high<br />

voltage DC bus for the distributed power system.<br />

In recent years, the higher efficiency and the more advanced power conversion, energy<br />

utilization equipment, a variety <strong>of</strong> circuit topologies <strong>of</strong> the s<strong>of</strong>t-switching DC-DC power converter are<br />

urgently required. The reference (Ogura et al, 2003) has introduced a boost type ZVS-PWM chopperfed<br />

DC-DC power converter with a single active auxiliary resonant snubber in the load side for the<br />

power interface <strong>of</strong> solar photovoltaic and fuel cell power conditioners. The character <strong>of</strong> this boost type<br />

ZVS-PWM chopper-fed DC-DC power converter is feasible. Also, a unidirectional isolated full-bridge<br />

DC to DC power converter can be used to boost low fuel cell voltage (Bendre et al, 2003; Aydemir,<br />

2002; Kim et al, 1997; Jain et al, 2002; Brunoro and Vieira, 1999; Jeon and Cho, 2001). In addition, a<br />

bidirectional full-bridge DC to DC power converter can be used for stepping up low battery voltage or<br />

stepping down high-voltage-side DC link according to battery discharge or recharge mode (Peng et al,<br />

2004; Jiang and Dougal, 2003). Among the presented power converters, two phase-shifted full-bridge<br />

DC to DC converters, which are one <strong>of</strong> the most attractive topologies for high power generation are<br />

adopted as described in (Jung, 2005; Keyhani and Jung, 2004) with a unidirectional full-bridge DC to<br />

DC boost converter for the fuel cell and a bidirectional full-bridge DC to DC boost/buck converter for


893 K. G. Firouzjah, H. Eshaghtabar, A. Sheikholeslami and S. Lesan<br />

battery. This research develops a circuit model and controllers <strong>of</strong> fuel cell based distributed generation<br />

systems (DGS) in a standalone AC power supply. Dynamic model <strong>of</strong> the fuel cell is considered. To<br />

boost low output DC voltage <strong>of</strong> the fuel cell to high DC voltage and compensate for its slow response<br />

during the transient, two full-bridge DC to DC converters are adopted and their controllers are<br />

designed. Furthermore, (Suzuoka et al, 2003) presents a novel circuit topology <strong>of</strong> a voltage source type<br />

zero voltage s<strong>of</strong>t-switching full bridge inverter DC-DC power converter with an isolated highfrequency<br />

transformer link this power converter incorporates zero current s<strong>of</strong>t-switching (ZCS) mode<br />

phrase-shifted PWM active power switches in series with diode into two diode arms <strong>of</strong> full-bridge<br />

rectifier or center-tapped rectifier in transformer secondary-side.<br />

In spite <strong>of</strong> desirable performance <strong>of</strong> the mentioned methods, a novel method based on<br />

predictive current control has been proposed to control the fuel cell and backup battery on the<br />

presented structure in (Jung, 2005; Keyhani and Jung, 2004). The proposed method produces the<br />

reference current by using <strong>of</strong> the DC link capacitor voltage. In other word, the presented algorithm<br />

calculates the required current <strong>of</strong> load and capacitor to regulate and control DC output at a desired<br />

voltage level. Thereupon the method determines the portion <strong>of</strong> fuel cell and backup battery to feed load<br />

and capacitor. In this research, the predictive current control strategy as described in References<br />

(Rodriguez, 2007; Rodriguez, 2004; Wen and Zheng, 2006; Premrudeepreechacharn and<br />

Poapornsawan, 2000) has been employed.<br />

2. System Structure<br />

The adopted structure <strong>of</strong> fuel cell, backup battery and the interfaced converters are based on the<br />

reference (Jung, 2005; Keyhani and Jung, 2004) as described in Fig. 1. In this system, a low voltage<br />

DC output <strong>of</strong> fuel cell is used along with unidirectional boost converter to prevent reliability<br />

deterioration by stacking a number <strong>of</strong> series cells. A low DC voltage battery for backup is connected in<br />

parallel with the high side DC link through a bidirectional buck/boost converter because difficulties in<br />

battery management can be significantly reduced. Furthermore, an isolated full-bridge DC to DC<br />

power converter is adopted to boost low output DC voltage <strong>of</strong> fuel cell because its topology is suitable<br />

for high power applications. To boost low output DC voltage <strong>of</strong> the fuel cell to high DC voltage, a<br />

forward, a push-pull or an isolated full-bridge DC to DC power converter is selected. Among these<br />

power converters, two phase-shifted full-bridge DC to DC converters are consist <strong>of</strong> a unidirectional<br />

full-bridge DC to DC boost converter for fuel cell and a bidirectional full-bridge DC to DC boost/buck<br />

converter for the battery. In Fig. 1, the unidirectional power converter system for the fuel cell consists<br />

<strong>of</strong> a fuel cell, an input filter (L1, C1), a full-bridge power converter (F1 to F4), a high frequency<br />

transformer (N1:N2), a bridge-diode (DF1 to DF4), and an output filter (L2, C2), while the bidirectional<br />

power converter system for the battery consists <strong>of</strong> a battery, a static switch (SB), two full-bridge power<br />

converters (B1 to B4, B11 to B44), and a high frequency transformer (n1:n2) (Jung, 2005).


A Predictive Current Control Technique on Fuel Cell Based Distributed<br />

Generation in a Standalone AC Power Supply 894<br />

Figure 1: Unidirectional/bidirectional DC to DC power converters (Jung, 2005).<br />

Fig. 2 shows power flows <strong>of</strong> DC to DC power converters for battery discharge and battery<br />

recharge. As shown in Fig. 2, the unidirectional full-bridge DC to DC boost converter permits only one<br />

directional power flow from the fuel cell to the load because a reverse current can damage the fuel cell.<br />

In addition, response speed <strong>of</strong> the power converter should be slow enough to meet slow dynamic<br />

response <strong>of</strong> the fuel cell. On the other hand, the bidirectional full-bridge DC to DC power converter<br />

allows both directional power flows for battery discharge and recharge, and its response also should be<br />

fast to compensate for the slow dynamics <strong>of</strong> fuel cell during start-up or sudden load changes. For<br />

battery discharge mode illustrated in Fig. 2 (a), which occurs when a startup or a sudden load increase,<br />

the fuel cell starts delivering electric power to the load and the battery instantly provides power until<br />

the fuel cell reaches a full operation state. After transient operation, only the fuel cell feeds electric<br />

power to the load. For battery recharge mode shown in Fig. 2 (b), the battery absorbs the energy<br />

overflowed from the fuel cell to prevent DC-link voltage VDC from being overcharged during a sudden<br />

load decrease, and then the battery is recharged by the fuel cell in a steady-state until it reaches a<br />

nominal voltage (Jung, 2005). The adopted model <strong>of</strong> the load (RL) is a three-phase DC to AC inverter<br />

with PWM bipolar switching strategy that is shown in Fig. 3.<br />

Figure 2: Power flows <strong>of</strong> DC to DC power converters (Jung, 2005)<br />

(a): Battery discharge (b): Battery recharge


895 K. G. Firouzjah, H. Eshaghtabar, A. Sheikholeslami and S. Lesan<br />

Figure 3: Three-phase DC to AC inverter with Three-phase load.<br />

3. Predictive Current Control (PCC) in Single Phase Converter<br />

Fig. 4 shows the topology <strong>of</strong> single phase full-bridge converter with nonlinear Inductive-Resistive<br />

load. Nonlinear treatment <strong>of</strong> load is modeled in the form <strong>of</strong> (e) potential. According to the Fig. 4, the<br />

current direction is being selected conventionally in a fix direction. If switching <strong>of</strong> converter selected<br />

as bipolar control, the switching states will be:<br />

State 1 → S 1,S 4: on S 2,S 3:<br />

<strong>of</strong>f<br />

State 2 → S 2,S 3: on S 1,S 4:<br />

<strong>of</strong>f<br />

Therefore, the duty cycle <strong>of</strong> S1,S4 switches (D) can be defined. While S1,S4 and S2,S3 are ON,<br />

the load voltage will be equal to Vd and -Vd respectively.<br />

Ton1,4<br />

D =<br />

T<br />

(1)<br />

Ton is the time that S1,S4 are ON in a period (T). So, in a sample the mean value <strong>of</strong> load voltage<br />

is equal to 2D-1, that:<br />

di<br />

(2D − 1) Vd= Ri + L + e<br />

dt<br />

(2)<br />

While S2,S3 are ON, the duty cycle is D'. According to the bipolar switching technique <strong>of</strong> single<br />

phase converter:<br />

D= 1−<br />

D′<br />

(3)<br />

By rewriting these equations in discrete time domain we have:<br />

( i( n+ 1) i(<br />

n)<br />

)<br />

(2D( n) -1) V d Ri( n) L e(<br />

n)<br />

T<br />

−<br />

= + +<br />

(4)<br />

D<br />

( n )<br />

( i( n+ 1) i(<br />

n)<br />

)<br />

( n) ( n) d<br />

−<br />

+ + +<br />

Ri L e V<br />

=<br />

T<br />

2 V<br />

d<br />

Figure 4: Single phase full-bridge converter with nonlinear load<br />

(5)


A Predictive Current Control Technique on Fuel Cell Based Distributed<br />

Generation in a Standalone AC Power Supply 896<br />

Figure 5: Tracing <strong>of</strong> reference current in one period <strong>of</strong> T<br />

That i(n) and i(n+1) are currents <strong>of</strong> existing state and the next state, respectively. e(n) is potential <strong>of</strong><br />

nonlinear part <strong>of</strong> load in existing state and D(n) is the existing state <strong>of</strong> S1,S4 switches in a duty cycle.<br />

According to the Fig. 5 with the reference current iReference and considering this hypothesis that all<br />

calculations are in n-state, if S1,S4 are ON, the load current will increase and if not, will be decrease.<br />

Finally, the reference current can be traced by converter where a proper value <strong>of</strong> D increases or<br />

decreases the load current. Therefore, duty cycle <strong>of</strong> D(n) in existing state (time <strong>of</strong> switching state 1 in a<br />

period T) changes the current from i(n) to i(n+1). According to the PCC, duty cycle <strong>of</strong> switches<br />

determined in a way that the current i(n) reach to i(n+1). So, i(n+1) can be defined as a reference current<br />

and ON or OFF time <strong>of</strong> switches can be calculated in a suitable way that current <strong>of</strong> existing state reach<br />

to reference current.<br />

4. Proposed Switching Technique<br />

A suitable and desired controlling technique in order to supply the required power <strong>of</strong> load and fix it,<br />

based on (Jung, 2005) recommended configuration is presented in this research. This recommended<br />

controlling algorithm divides into two sections:<br />

1. If the fuel cell be able to supply the load perfectly, no battery will be used and fuel cell will<br />

supply the load, merely. In this situation, battery will be charged by fuel cell.<br />

2. If the fuel cell can not be able to supply the load perfectly, maximum usage <strong>of</strong> fuel cell is<br />

performed and then battery supplies the remaining required power.<br />

Whereas load DC capacitor’s voltage should remain around 1 p.u., the recommended technique<br />

is follows to fix the voltage <strong>of</strong> C2 in the desired range.<br />

All the following equations investigated in discrete time state. In the first stage, we assume that<br />

the fuel cell can fully supply the load merely. In the second stage, we assume that the fuel cell can not<br />

perfectly supply the load. The relation between voltage and current <strong>of</strong> C2, yields the following<br />

expressions:<br />

Continuous time state:<br />

dV<br />

C IC= C2 dt<br />

Discrete time state:<br />

VC( n + 1) −VC(<br />

n)<br />

IC( n) = C2<br />

T<br />

Continuous time state:<br />

I F 2 = IC + I L<br />

Discrete time state:<br />

I F2 ( n) = IC( n) + IL( n)<br />

Continuous time state:<br />

(6)<br />

(7)<br />

(8)<br />

(9)


897 K. G. Firouzjah, H. Eshaghtabar, A. Sheikholeslami and S. Lesan<br />

dI F 2<br />

V AB 2 = L2 + VC<br />

dt<br />

Discrete time state:<br />

(10)<br />

IF2( n + 1) −IF2(<br />

n)<br />

V AB 2( n) = L2 + VC( n)<br />

T<br />

where:<br />

(11)<br />

VC( n + 1) = VC Ref<br />

= 1 pu . .<br />

Also, the average voltage <strong>of</strong> VAB1, based on bipolar switching technique <strong>of</strong> full bridge power<br />

converter (F1 to F4), is as follow:<br />

V AB1 = (2D −1)<br />

V Fdc<br />

(12)<br />

dI ′ 2<br />

V AB1 = LT + RTI′ 2 + V ′ AB 2<br />

dt<br />

That RT and LT are the transformer’s impedances.<br />

(13)<br />

N 1 V ′ AB 2 = V AB 2<br />

N 2<br />

(14)<br />

N 2 I′ 2 = I 2<br />

N 1<br />

In discrete form we have:<br />

(15)<br />

(2 D ( n) − 1) V FCdc = LT I′ 2( n + 1) −I′<br />

2(<br />

n)<br />

+ RTI′ 2( n) + V ′ A B 2(<br />

n)<br />

T<br />

(16)<br />

Where, subscript (n) in (11) and (16) represents the present time values that can be easily<br />

measured. Consequently, by having these values from (11), we will obtain IF2(n+1) that is the required<br />

reference current <strong>of</strong> next situation. We can obtain the duty cycle <strong>of</strong> D(n) by considering IF2=I2 (Fuel cell<br />

can supply the load merely).<br />

N 2 N 2 T<br />

I1( n + 1) = I2( n + 1) = ( V AB 2( n) + IF2(<br />

n)<br />

)<br />

N1 N1 L2<br />

(17)<br />

I1( n + 1) −I1(<br />

n)<br />

LT + RTI1( n) + V ′ AB 2(<br />

n) + V FCdc<br />

D( n)<br />

= T<br />

2 V FCdc<br />

(18)<br />

If the resultant D is less than 1, fuel cell would have the capability <strong>of</strong> supplying the load by<br />

desired duty cycle. Thus, the battery is not needed. But, if D>1, Fuel cell would have not that<br />

capability and therefore, we should calculate the maximum power <strong>of</strong> fuel cell at the first step by<br />

considering D=1, and in the second step, supplying the remain power by using battery with DB, which<br />

is related with its converter.<br />

If D=1, then we would have:<br />

V AB1= V FCdc<br />

(19)<br />

dI 1<br />

V ′ AB 2 = V FCdc −LT−RTI1 dt<br />

That in discrete time situation:<br />

(20)<br />

I1( n + 1) −I1(<br />

n)<br />

V ′ AB 2( n) = V FCdc −LT −RTI1(<br />

n)<br />

T<br />

By having the values <strong>of</strong> current state we can obtain I1(n+1) with D=1 as:<br />

(21)<br />

T<br />

I 1( n + 1 ) =<br />

LT<br />

[ V FCdc −RTI1( n) − V ′ A B 2( n) ] + I1( n)<br />

(22)<br />

I1(n+1) is the maximum value <strong>of</strong> fuel cell produced current with D=1 that:<br />

N 1<br />

I Max _FC= I1( n + 1)<br />

N 2<br />

(23)


A Predictive Current Control Technique on Fuel Cell Based Distributed<br />

Generation in a Standalone AC Power Supply 898<br />

by considering the required current <strong>of</strong> IF2(n+1) in (17), we achieve the remaining required current <strong>of</strong> load<br />

as:<br />

I B 2( n + 1) = I F 2( n + 1) −I<br />

Max _FC<br />

(24)<br />

By having the value <strong>of</strong> IB2(n+1), we can get DB(n) with the way presented before as:<br />

n2<br />

I B1( n + 1) = IB 2(<br />

n + 1)<br />

n1<br />

(25)<br />

n1<br />

V ′ ab 2 = Vab<br />

2<br />

n2<br />

(26)<br />

I ( n + 1) −I<br />

( n)<br />

L + R I ( n) + V ′ ( n) + V<br />

DB( n)<br />

= T<br />

2 V<br />

B1 B1<br />

t t B 1 ab 2 battery<br />

battery<br />

(27)<br />

That, Lt and Rt are the transformer’s impedances.<br />

According to the mentioned above, we can extract the recommended algorithm as Fig. 6. The<br />

illustrated flowchart shows the performance <strong>of</strong> suggested algorithm so well. Consequently, after<br />

employing this algorithm and also by fixing the capacitor’s voltage in 1 p.u., we would be able to feed<br />

the power <strong>of</strong> three phase loads by a three phase converter, with PWM switching technique (such as<br />

Fig. 3).<br />

Figure 6: DC link capacitor's voltage controlling flowchart with fuel cell and backup battery.


899 K. G. Firouzjah, H. Eshaghtabar, A. Sheikholeslami and S. Lesan<br />

5. Simulation Results<br />

In this research, simulations are carried out based on employing the suggested algorithm on adopted<br />

system as shown in Fig. 6 and Fig. 1, respectively. MATLAB simulation results show the capability <strong>of</strong><br />

proposed algorithm to control the switching modes <strong>of</strong> the fuel cell and backup battery in transient<br />

states. Simulations are carried out in the following:<br />

5.1. Fuel Cell's Output Voltage Drops and there is no Backup<br />

In this section, supposed that the boosted output voltage <strong>of</strong> fuel cell drops below its steady-state value<br />

(into 0.5 p.u.). As shown in Fig. 7, FC's voltage dropped and recovered at 0.2 and 1 second<br />

respectively. In the other word, a failure occurred during 0.2 through 1 second for the fuel cell.<br />

According to Fig. 7, while backup battery is not existed, the DC link capacitor's voltage drops. Also,<br />

the voltage and current <strong>of</strong> three phase load is decreased.<br />

5.2. Fuel Cell's Output Voltage Drops, Load Increases and there is no Backup<br />

We expect that by increasing the load in fuel cell failure the output will have a worse condition than is<br />

in section A. Fig. 8 illustrates the verity <strong>of</strong> this fact. As shown in this figure, a failure occurred during<br />

0.2-1 second for the fuel cell; furthermore the three phase load increased at 0.45 second. These results<br />

remark that the output voltage and current have a bad situation in lack <strong>of</strong> backup battery.<br />

5.3. Fuel Cell's Output Voltage Drops and Backup Battery Exists<br />

In this section, supposed that the boosted output voltage <strong>of</strong> fuel cell drops below its steady-state value<br />

(around 0.5 p.u.) and backup battery is employed based on the proposed algorithm in Fig. 6.<br />

Figure 7: Simulation results under fuel cell's failure and no backup existence.


A Predictive Current Control Technique on Fuel Cell Based Distributed<br />

Generation in a Standalone AC Power Supply 900<br />

Figure 8: Simulation results under fuel cell's failure, load increasing and no backup existence.<br />

As shown in Fig. 9, fuel cell's voltage is dropped at 0.2 second and then recovered at 1 second.<br />

To take into consideration <strong>of</strong> battery as a backup <strong>of</strong> this system, leads to a regulated DC link voltage<br />

during fuel cell's failure. Therefore, the output current and voltage have no transient and variation.<br />

Figure 9: Simulation results under a fuel cell's fail with backup existence<br />

5.4. Fuel Cell's Output Voltage Not Changes, Load Increases and Backup Battery Exists<br />

As shown in Fig. 10, when load increases (at 0.45 second), backup battery compensates the shortage <strong>of</strong><br />

fuel cell's output voltage. Fuel cell and backup battery feed the load together.


901 K. G. Firouzjah, H. Eshaghtabar, A. Sheikholeslami and S. Lesan<br />

Figure 10: Simulation results under load increasing with backup existence<br />

5.5. Fuel Cell's Output Voltage Drops, Load Increases and Backup Battery Exists<br />

The worst state <strong>of</strong> illustrated system in Fig. 1 is increment <strong>of</strong> load during fuel cell's failure. The main<br />

objective <strong>of</strong> this research is improved FC based system in this condition. As a mater <strong>of</strong> fact, backup<br />

battery has two tasks:<br />

1. DC link capacitor's voltage regulation in desired level.<br />

2. Transient states <strong>of</strong> system variation reduction.<br />

According to Fig. 11, the output parameters (i.e. DC link capacitor voltage, load voltage and<br />

current) have the desired value and minimum transient state together. However a fail occurs during 0.2-<br />

1 second for the fuel cell, and furthermore the three phase load increases at 0.45 second, backup battery<br />

is capable to reach the above goals.<br />

Figure 11: Simulation results under fuel cell's failure, load increasing and backup existence.<br />

Note that the back up battery operates when fuel cell is not capable to do its task so well. As<br />

shown in Fig. 12, backup battery operates during fuel cell's failure and load increment (0.2-1 second)<br />

whereas SB=1. On the other hand, when fuel cell be able to feed load and DC link capacitor lonely, SB<br />

is set to zero and backup battery will be in charging mode.


A Predictive Current Control Technique on Fuel Cell Based Distributed<br />

Generation in a Standalone AC Power Supply 902<br />

Figure 12: Duty cycle <strong>of</strong> fuel cell and backup battery's converters<br />

6. Conclusions<br />

In this research it has been presented a new predictive current control based method to convert the<br />

generated dc output voltage <strong>of</strong> fuel cell into a higher regulated dc voltage. The suggested algorithm<br />

calculates the required current <strong>of</strong> load and capacitor to regulate and control DC output at a desired<br />

voltage level on the basis <strong>of</strong> adopted system (Fuel cell in parallel with backup battery and interfaced<br />

converters). Investigated studies illustrate that the worst state <strong>of</strong> fuel cell based distributed generation<br />

systems in a standalone AC power supply is increment <strong>of</strong> load during fuel cell's output voltage failures.<br />

The main objective <strong>of</strong> this research is improved FC based system in critical conditions. Clearly, backup<br />

battery has two tasks:<br />

1. DC link capacitor's voltage regulation in desired level.<br />

2. Transient states <strong>of</strong> system variation reduction.<br />

According to the simulation results, the output parameters have the desired value and minimum<br />

transient state together. In conclusion, the suggested predictive current control based method is capable<br />

to achieve mentioned goals with good performance <strong>of</strong> system's interfaced converters. Simulation<br />

results with MATLAB reflect the potentiality <strong>of</strong> this controller for the fuel cell based DG applications.


903 K. G. Firouzjah, H. Eshaghtabar, A. Sheikholeslami and S. Lesan<br />

References<br />

[1] Akkinapragada, N., 2007. “Dynamic Modeling and Simulations <strong>of</strong> Solid Oxide Fuel Cells for<br />

Grid-Tied Applications”, Master's Thesis, Electrical Engineering, University <strong>of</strong> Missouri-Rolla.<br />

[2] Anderson, G. K., C. Klumpner, S. B. Kjaer, and F. Blaabjerg, 2002. “A New Power Inverter for<br />

Fuel Cells”, IEEE Conf. Power Electronics Specialists, 2(2), pp. 727-733.<br />

[3] Aydemir, M. T., A. Bendre, and G. Venkataramanan, 2002. “A critical evaluation <strong>of</strong> high<br />

power hard and s<strong>of</strong>t switched isolated DC-DC converters”, IEEE IAS'02, 2, pp. 1338-1345.<br />

[4] Bendre, G. Venkataramanan, and D. Divan, 2003. “Dynamic analysis <strong>of</strong> loss-limited switching<br />

full-bridge DC-DC converter with multimodal control”, IEEE Trans. Industry Applications,<br />

39, pp. 854-863.<br />

[5] Blaabjerg, F., Z. Chen, and S. B. Kjaer, 2004. “Power Electronics as Efficient Interface in<br />

Dispersed Power Generation Systems”, IEEE Trans. Power Electronics, 19(5).<br />

[6] Brunoro, M. and J. L. F. Vieira, 1999. “A high-performance ZVS full-bridge DC-DC 0-50-V/0-<br />

10-A power supply with phase-shift control”, IEEE Trans. Power Electronics, 14, pp. 495-505.<br />

[7] Chandrasekaran, S., and L. U. Gokdere, 2004. “Integrated Magnetics for Interleaved DC-DC<br />

Boost Converter for Fuel Cell Powered Vehicles”, IEEE Conf. PESC 04, 1, pp. 356-361.<br />

[8] Duran-Gomez, J. L., E. Garcia-Cervantes, D. R. Lopez-Flores, P. N. Enjeti, and L. Palma,<br />

2006. “Analysis and Evaluation <strong>of</strong> a Series-Combined Connected Boost and Buck-Boost DC-<br />

DC Converter for Photovoltaic Application”, IEEE Conf. APEC'06, pp. 1-7.<br />

[9] Haiping, X., Q. Ermin, G. Xin, W. Xuhui, and K. Li, 2005. “Analysis and Design <strong>of</strong> High<br />

Power Interleaved Boost Converters for Fuel Cell Distributed Generation System”, IEEE Conf.<br />

Power Electronics Specialists, pp. 140–145.<br />

[10] Jain, P. K., Wen Kang, H. Soin, and Youhao Xi, 2002. “Analysis and design considerations <strong>of</strong> a<br />

load and line independent zero voltage switching full bridge DC/DC converter topology”, IEEE<br />

Trans. Power Electronics, 17, pp. 649-657.<br />

[11] Jeon, S. -J., and G.-H. Cho, 2001. “A zero voltage and zero-current switching full bridge DC-<br />

DC converter with transformer isolation”, IEEE Trans. Power Electronics, 16, pp. 573-580.<br />

[12] Jiang, Z. and R. A. Dougal, 2003. “Control design and testing <strong>of</strong> a novel fuel-cell-powered<br />

battery-charging”, IEEE APEC'03, 2, pp. 1127-1133.<br />

[13] Jung, J. -W., 2005. “Modeling and Control <strong>of</strong> Fuel Cell Based Distributed Generation<br />

Systems”, PhD Dissertation, Ohio State University.<br />

[14] Jung, J. -W., M. Dai, and A. Keyhani, 2005. “Modeling and control <strong>of</strong> a fuel cell based Zsource<br />

converter”, IEEE Conf. APEC 05, 2, pp. 1112-1118.<br />

[15] Keyhani, A. and J. –W. Jung, 2004. “Distributed energy systems”, <strong>Journal</strong> <strong>of</strong> Iranian<br />

Association <strong>of</strong> Electrical and Electronics Engineers, 1(2), pp. 33-40.<br />

[16] Kim, E. –S., K. –Y., Joe, M. –H., Kye, Yoon-Ho Kim, and Byung-Do Yoon, 1997. “An<br />

improved ZVZCS PWM FB DC/DC converter using energy recovery snubber”, IEEE<br />

APEC'97, 2, pp. 1014-1019.<br />

[17] Liu, C., T. Nergaard, L. Leslie, J. Ferrell, X. Huang, T. Shearer, J. Reichl, J. Lai, and J. Bates,<br />

2002. “Power Balance Control and Voltage Conditioning for Fuel Cell Converter with Multiple<br />

Sources”, IEEE Conf. Power Electronics Specialists, 4, pp. 2001-2006.<br />

[18] Mohan, N., T. M. Undeland, and W. P. Robbins, “Power Electronics, Converters, Applications<br />

and Design”, 2nd Edition, John Wiley & Sons.<br />

[19] Ogura, K., S. Chandhaket, T.Ahmed, and M. Nakaoka, 2003. “Non-Isolated ZVS-PWM Boost<br />

Chopper-Fed DC-DC Converter with Auxiliary Edge Resonant Snubber”, IEEE Conf.<br />

IECON'03, 3, pp. 2356–2362.<br />

[20] Padulles, J., G. W. Ault, and J. R. McDonald, 2000. “An Approach to the Dynamic Modeling<br />

<strong>of</strong> Fuel Cell Characteristics for Distributed Generation Operation”, IEEE- PES Winter Meeting,<br />

1(1), pp. 134-138.<br />

[21] Peng, F. Z., H. Li, G. –J. Su, and J. S. Lawler, 2004. “A new ZVS bidirectional DC-DC<br />

converter for fuel cell and battery application”, IEEE Trans. Power Electronics, 19, pp. 54-65.


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[22] Premrudeepreechacharn, S., and T. Poapornsawan, 2000. “Fuzzy Logic Control <strong>of</strong> Predictive<br />

Current Control for Grid connected Single Phase Inverter”, IEEE Conf. Photovoltaic Specialists<br />

Conference, pp. 1715-1718.<br />

[23] Rodriguez, J., J. Pontt, C.A. Silva, P. Correa, P. Lezana, P. Cortes, and U. Ammann, 2007.<br />

“Predictive Current Control <strong>of</strong> a Voltage Source Inverter”, IEEE Trans. Industrial Electronics ,<br />

54, pp. 495 – 503.<br />

[24] Rodriguez, J., J. Pontt, C. Silva, P. Cortes, U. Amman, and S. Rees, 2004. “Predictive current<br />

control <strong>of</strong> a voltage source inverter”, Power Electronics Specialists Conference, PESC 04, in<br />

Proc. IEEE, 3, pp. 2192 - 2196.<br />

[25] Suzuoka, K., S. Moisseev, L. Gamage, K. Soshin, K. Nishida, and M. Nakaoka, 2003. “Boost<br />

Transformer Linked Full Bridge S<strong>of</strong>t-Commutation DC-DC Power Converter with Secondary-<br />

Side Phase-Shifted PWM Rectifier Switches”, IEEE Conf. IECON '03, 1, pp. 49-54.<br />

[26] Wang, C., and M. H. Nehrir, 2006. “Control <strong>of</strong> PEM Fuel Cell Distributed Generation<br />

Systems”, IEEE Trans. Energy Conversion, 21(2), pp. 586-595.<br />

[27] Wang, C., and M. H. Nehrir, 2006. “Short-time Overloading Capability and Distributed<br />

Generation Applications <strong>of</strong> Solid Oxide Fuel Cells”, accepted for IEEE Trans. Energy<br />

Conversion.<br />

[28] Wen. X., F. Lin, and T. Q. Zheng, 2006. “Dynamic Model and Predictive Current Control <strong>of</strong><br />

Voltage Source Converter Based HVDC”, in Proc. IEEE, PowerCon, pp. 1–5.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.905-913<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Effects <strong>of</strong> Ethyl acetate Portion <strong>of</strong> Syzygium Aromaticum<br />

Flower Bud Extract on Indomethacin-Induced Gastric<br />

Ulceration and Gastric Secretion<br />

Okasha Mohammad Abdul- Halim<br />

Department <strong>of</strong> Human Physiology, Faculty <strong>of</strong> Medicine<br />

Ahmadu Bello University, Zaria, Nigeria<br />

Magaji Rabiu Abdussalam<br />

Department <strong>of</strong> Human Physiology, Faculty <strong>of</strong> Medicine<br />

Bayero University, Kano, Nigeria<br />

Abubakar Mujtaba Suleiman<br />

Department <strong>of</strong> Pharmacognosy and Drug Development, Faculty <strong>of</strong> Pharmaceutical<br />

Sciences, Ahmadu Bello University, Zaria, Nigeria<br />

Fatihu Muhammad Yakasai<br />

Department <strong>of</strong> Veterinary Pathology and Microbiology, Faculty <strong>of</strong> Veterinary Medicine<br />

Ahmadu Bello University, Zaria, Nigeria<br />

Abstract<br />

Clove, the dried flower bud <strong>of</strong> Syzygium aromaticum (Family: Myrtaceae) is one <strong>of</strong><br />

the important herbs used as indigenous medicine in India, and in Unani Medicine. It<br />

contains flavonoids and tannins among others that have bee proven to stimulate the<br />

production <strong>of</strong> prostaglandins which contribute to the maintenance <strong>of</strong> basal gastric mucosal<br />

blood flow and mucus secretion that enhance the mucosal integrity defense and repair <strong>of</strong><br />

injury. In the present work, we investigated the gastric anti-ulcerogenic and antisecretory<br />

effects <strong>of</strong> the ethyl acetate portion <strong>of</strong> the ethanolic extract <strong>of</strong> Syzygium aromaticum<br />

(SaETAC) flower bud in rats, using indomethacin as a necrotizing agent. SaETAC<br />

demonstrated a gastro-protective anti-ulcerogenic effect as well as a marked decrease <strong>of</strong><br />

volume, titritable acidity and acid output <strong>of</strong> gastric secretion in rats. The extract proved to<br />

possess some phytochemicals which may contribute to the observed gastric antiulcerogenic<br />

and anti-secretory activity.<br />

Keywords: Syzygium aromaticum, ethyl acetate, indomethacin, gastric ulcer, gastric<br />

secretion<br />

1. Introduction<br />

Clove is the dried reddish brown flower bud <strong>of</strong> Syzygium aromaticum (Family: Myrtaceae), an<br />

evergreen tropical tree 10-20 cm in height, indigenous to India, Indonesia, Zanzibar, Mauritius and Sri<br />

Lanka. Sometimes, it is called Eugenia caryophyllata. It is one <strong>of</strong> the important herbs used as


Effects <strong>of</strong> Ethyl acetate Portion <strong>of</strong> Syzygium Aromaticum Flower Bud Extract on<br />

Indomethacin-Induced Gastric Ulceration and Gastric Secretion 906<br />

indigenous medicine in India, and in Unani Medicine. (Trease and Evans, 1972). It is commonly called<br />

“Kanumfari” in Hausa and ‘Kanumfo’ in Yoruba.<br />

Clove is reported as aphrodisiac (Khan, 1893; Tajuddin et al., 2004), stomachic (Nadkarni,<br />

2000; Attar, 1370), carminative, antispasmodic (Khory and Katrak, 1985; Pourgholami et al., 1990). It<br />

is also reported to be useful in conceiving in high doses and acts as a contraceptive in low doses (Ibn<br />

Al-Baytar, 1869) and useful in cataract (Raazi, 1961).<br />

Peptic ulcers are sores or eroded areas that form in the lining mucosa <strong>of</strong> the stomach,<br />

duodenum, lower esophagus and Merkel’s diverticulum. They affect more than 4 million people each<br />

year in the United States (Graham, 1996). Peptic ulcer is the most common gastrointestinal disorder in<br />

clinical practice. Oxidative stress and free radical-mediated processes have been implicated in the<br />

pathogenesis <strong>of</strong> gastrointestinal disorders (Salim, 1992).In the absence <strong>of</strong> non-steroidal anti<br />

inflammatory drugs (NSAIDs) use or acid hypersecretory states such as Zollinger-Ellison Syndrome,<br />

Helicobacter pylori is the causative factor in 75% <strong>of</strong> all patients with gastric ulcer and 90% <strong>of</strong> all<br />

patients with duodenal ulcer (Falk, 2000).<br />

Three classes <strong>of</strong> drugs have been shown to have a direct effect on Helicobacter pylori:<br />

antibiotics, bismuth salts, and proton pump inhibitors. Because Helicobacter pylori is difficult to<br />

eradicate, most treatment regimens combine agents from two or even all three <strong>of</strong> these cases. In all <strong>of</strong><br />

them, patients with active peptic disease should also receive a total <strong>of</strong> 6 weeks <strong>of</strong> acid suppression with<br />

an H2 receptor antagonist. Peptic ulcer therapy through this combination <strong>of</strong> drugs has not been very<br />

effective due to non-compliance to drugs by patients and possible side effects <strong>of</strong> the drugs being taken<br />

continuously (Peura, 1998).<br />

Considering the several side effects <strong>of</strong> modern medicine, indigenous drugs with fewer side<br />

effects should be looked for as a better alternative for the treatment <strong>of</strong> peptic ulcer (Salim, 1992).<br />

Recent studies found that different substances from plant sources not only afford gastroprotection but<br />

also accelerate ulcer healing. They may also possess anti-inflammatory action by suppressing the<br />

neutrophil/cytokine cascade in gastrointestinal tract (GIT) (Alarcon de la Lastra et al., 1995),<br />

promoting tissue repair though expression <strong>of</strong> various growth factors, exhibiting antioxidant (Kim et al.,<br />

2004) scavenging reactive oxygen species (ROS) (Pastrada-Bonilla et al., 2003; Liu, et al., 2002),<br />

showing anti-nucleolytic, cytochrome P450 2F1 inhibitory, anti-necrotic and anti-carcinogenic<br />

activities (Bagchi et al., 2002).<br />

There are various plant-originated "gastroprotectors" with different composition that have been<br />

used in clinical and folk medicine by many countries due to their beneficial effects on the mucosa <strong>of</strong><br />

GIT. In China and Japan, polyphenol extracts such as Sopharadin extracts, containing flavonoids and<br />

its synthetic flavonoid derivative known as Solon are widely employed in peptic ulcer therapy and also<br />

as food additives and nutritional supplements, mainly because <strong>of</strong> their strong inhibition <strong>of</strong><br />

prostaglandin (PG) metabolism and vasoconstrictive leukotriene inhibition (Kyogoku et al., 1979).<br />

This study aims at throwing some lights on the effects <strong>of</strong> ethyl acetate portion <strong>of</strong> the ethanolic<br />

extract <strong>of</strong> Syzigium aromaticum flower bud on indomethacin-induced gastric mucosal damage and<br />

gastric secretion which may help in detection <strong>of</strong> some gastroprotective properties <strong>of</strong> this extract.<br />

2. Materials and Methods<br />

2.1. Chemicals and drugs<br />

The following chemicals and drugs were used: Absolute Ethanol (Sigma Aldrich), Ethyl acetate<br />

(ETAC) (Sigma Aldrich), Indomethacin (Chiesi) ampoule was used in a dose <strong>of</strong> 20 mg/kg S.C. as<br />

reported by Okabe et al. (1977) and Urushidani et al. (1979). Cimetidine (Lek Pharm. Slovenia) was<br />

used in a dose <strong>of</strong> 50 mg/kg S.C. (Moron et al., 1982) and in a dose <strong>of</strong> 100 mg/kg S.C. as reported by<br />

Satoh et al. (1983), sodium hydroxide (NaOH) (England), phenolphthalein (E.Merck Darmstadt,<br />

Germany)


907 Okasha Mohammad Abdul- Halim, Magaji Rabiu Abdussalam,<br />

Abubakar Mujtaba Suleiman and Fatihu Muhammad Yakasai<br />

2.2. Preparation <strong>of</strong> plant material<br />

The flower bud <strong>of</strong> the Syzygium aromaticum was sourced from ‘Kasuwar Rimi’ market in Kano<br />

Metropolis, Nigeria. It was identified and authenticated at the Herbarium section <strong>of</strong> the Department <strong>of</strong><br />

Biological Sciences, Ahmadu Bello University and given a voucher number 900132 with deposition <strong>of</strong><br />

a specimen for further reference. The air dried herb was extracted with aqueous ethanol (70%) in a<br />

soxhlet extractor. The extract after concentration at reduced pressure was suspended in methanol and<br />

partitioned with ethyl acetate to obtain ethyl acetate (ETAC) portion. The portion was concentrated in<br />

vacuum and the residue <strong>of</strong> the portion was obtained.<br />

2.3. Phytochemical Screening<br />

The extract was screened for the presence <strong>of</strong> various phytochemicals employing standard screening test<br />

(Trease and Evans. 1983). Conventional protocols for detecting the presence <strong>of</strong> alkaloids, tannins, etc.<br />

were used.<br />

2.4. Acute Toxicity Test<br />

LD50 determination was conducted using the method <strong>of</strong> Lorke (1983). In the first phase male and<br />

female mice were divided into three groups <strong>of</strong> three mice each. After an overnight fasting, the animals<br />

were treated with the extract at doses 1000, 100 and 10mg/kg. In the second phase the animals were<br />

grouped into four <strong>of</strong> one mouse each and treated with doses <strong>of</strong> the extract at 200; 400, 800 and 1600<br />

mg/kg. The animals were observed for 24 hours after treatment and the final LD50 was calculated.<br />

2.5. Animals<br />

Swiss male albino rats ranging in weight from 165- 180 grams were used for this study. The animals<br />

were housed under similar conditions <strong>of</strong> temperature, relative humidity and light/dark cycle with free<br />

access to standard laboratory chow and tap water ad libitum. The animals were fasted for 48 hours<br />

before the commencement <strong>of</strong> the experiment with only free access to water (Weisher and Thiemer,<br />

1983). This has been proved to be non-ulcerogenic and sufficient for absolute emptying <strong>of</strong> the stomach<br />

as reported by El-Sokkary et al. (1991). Each <strong>of</strong> the animals was kept in an individual cage with wide<br />

meshed raised floor to prevent coprophagia. The animals were randomly assigned into three different<br />

groups:<br />

(1) Indomethacin – treated (control) group (10 rats)<br />

Five rats for the study <strong>of</strong> gastric ulceration and five rats to study gastric secretion.<br />

(2) Extract – treated group (30 rats)<br />

Extract (50, 100, &200mg/kg S.C.) was injected 30 minutes before indomethacin to<br />

study its effect on gastric secretion and gastric mucosal damage induced by<br />

indomethacin.15 rats to study gastric secretion (5rats for each dose) and 15 rats for<br />

gastric ulcer studies (5rats for each dose).<br />

(3) Cimetidine – treated (reference) group (20 rats)<br />

Cimetidine in a dose <strong>of</strong> 50 and 100 mg/kg S.C. was used to test its effect on<br />

indomethacin – induced gastric ulceration and gastric secretion. Ten rats for gastric<br />

secretion studies (5 rats for each dose <strong>of</strong> cimetidine) and ten rats to study gastric<br />

mucosal integrity affection (5 rats for each dose).<br />

2.6. Study <strong>of</strong> Gastric Ulceration<br />

After the 48 hours fasting, the control group was subcutaneously (S.C.) injected with saline.<br />

Experimental groups received SaETAC (50, 100 and 200 mg/kg S.C.) and the reference groups<br />

received cimetidine in a dose <strong>of</strong> 50 and 100 mg/kg B.W. (Moron et al., 1982; Satoh et al., 1983). After


Effects <strong>of</strong> Ethyl acetate Portion <strong>of</strong> Syzygium Aromaticum Flower Bud Extract on<br />

Indomethacin-Induced Gastric Ulceration and Gastric Secretion 908<br />

30 minutes all the groups were administered indomethacin (20mg/kg S.C.).Then, the animals were<br />

deprived <strong>of</strong> both food and water for seven (7) hours (Urushidani et al., 1979). Later on, the animals<br />

were sacrificed by decapitation (Satoh et al., 1983). The stomachs were opened along the greater<br />

curvature, rinsed slowly with normal saline then stretched out as much as possible on a Whatman’s<br />

filter paper. The ulcerated surface in each stomach was measured with a transparent millimeter scale<br />

rule and the result for each group was expressed in mm <strong>of</strong> mean ulcer ± S.E. (Ulcer index) (Scepovic<br />

and Radmanovic, 1984). Preventive index (P.I. %) was later calculated according to the method <strong>of</strong><br />

Hano et al. (1976) as follows:<br />

U.I. indomethacin – U.I. extract plus indomethacin<br />

P.I. % = X 100<br />

U.I. indomethacin<br />

2.7. Study <strong>of</strong> Gastric Secretion<br />

Gastric juice was collected after making pyloric ligation according to the technique <strong>of</strong> Shay et al.<br />

(1954) as modified by Levine (1965) where esophageal ligation was avoided. The animals were fasted<br />

for 48 hours to ensure complete emptying <strong>of</strong> the stomach, but allowed water ad libitum. The animals<br />

were then weighed at the end <strong>of</strong> the fasting period. Then, under light anaesthesia, the abdomen was<br />

opened by midline incision and the stomach was identified. A pyloric ligature was made by using a<br />

thread with care to avoid damage <strong>of</strong> the blood vessels or traction <strong>of</strong> the stomach. The abdomen was<br />

closed by sutures and cleaned thoroughly with saline. The anaesthesia was discontinued and the<br />

animals were allowed to recover for a period <strong>of</strong> three (3) hours. After the 3 hours, the animals were<br />

sacrificed and the abdomen <strong>of</strong> each animal was opened and the esophagus was ligated, then the<br />

stomach was removed and washed with saline and dried. An opening along the greater curvature was<br />

made and the gastric contents were drained into a graduated centrifuge tube then centrifuged at 3000<br />

rpm for 10 minutes.<br />

2.8. Analysis <strong>of</strong> the Gastric Juice<br />

2.8.1. Volume <strong>of</strong> gastric juice<br />

After the centrifugation, the supernatant was measured as volume <strong>of</strong> the gastric juice.<br />

2.8.2. Determination <strong>of</strong> the Titritable Acidity<br />

A given volume <strong>of</strong> the gastric juice (0.2 ml) was titrated against 0.01 N NaOH using an end point <strong>of</strong><br />

pH 7.0 as determined colorimetrically with phenol red as an indicator (Grossman, 1963). It was<br />

calculated as milliequivalents per liter (mEq/L) which is equal to the number <strong>of</strong> milliliters (mL) <strong>of</strong> 0.1<br />

N NaOH required to neutralize 100 ml <strong>of</strong> the gastric juice<br />

Volume <strong>of</strong> 0.01N NaOH which neutralizes 1 mL <strong>of</strong> gastric juice<br />

= X 100<br />

10<br />

(Davenport, 1977).<br />

2.8.3. Determination <strong>of</strong> acid output<br />

This was calculated as µEq/h by multiplying the volume <strong>of</strong> gastric secretion (ml/h) <strong>of</strong> an animal by the<br />

titritable acidity (acid concentration) (mEq/L) <strong>of</strong> the gastric secretion in that animal (Okabe et al.,<br />

1975).


909 Okasha Mohammad Abdul- Halim, Magaji Rabiu Abdussalam,<br />

Abubakar Mujtaba Suleiman and Fatihu Muhammad Yakasai<br />

2.9. Statistical Analysis<br />

The experimental data were expressed as the mean ± S.E.M. The significance <strong>of</strong> the results was<br />

determined using analysis <strong>of</strong> variance (ANOVA) with later comparison by Dunnett’s t-test and the<br />

results were considered significant if p < 0.05.<br />

3. Results<br />

3.1. Phytochemical Screening<br />

Preliminary phytochemical analysis <strong>of</strong> the extract revealed the presence <strong>of</strong> flavonoids, glycosides,<br />

tannins, resins and alkaloids.<br />

3.2. Acute Toxicity Studies<br />

The intraperitoneal LD50 <strong>of</strong> the extract in mice was found to be 565.7mg/kg.<br />

3.3. Gastric Mucosal Integrity Studies<br />

Indomethacin (20 mg/kg S.C.) produced severe gastric mucosal ulceration restricted to the corpus with<br />

an ulcer index <strong>of</strong> 33.9 ± 1.2. The ulcers appeared in the form <strong>of</strong> streaks and/or groups and went deep in<br />

the mucosa with severe necrotic and hemorrhagic bases.<br />

Administration <strong>of</strong> SaETAC (100 mg/kg) showed a significant (p


Effects <strong>of</strong> Ethyl acetate Portion <strong>of</strong> Syzygium Aromaticum Flower Bud Extract on<br />

Indomethacin-Induced Gastric Ulceration and Gastric Secretion 910<br />

Table 2: Showing the different parameters tested on 3 hourly collected gastric secretion for different rat<br />

groups.<br />

Groups Indomethacin Extract + indomethacin Cimetidine ± Indomethacin<br />

(20mg/kg) (50mg/kg) (100mg/kg) (200mglkg) (50mg/kg) (100mg/kg)<br />

Parameters<br />

Volume<br />

(ml/3h)<br />

4.14±0.11 2.36±0.34* 2.62±0.25*** 2.20±0.23* 1.30±0.13*** 1.18±0.13***<br />

Titritable<br />

acidity(mEq/L)<br />

74.50±1.70 36.44±2.1*** 32.24±1.41*** 18.06±1.41*** 12.8±0.8*** 10.6±0.82***<br />

Acid Output<br />

(µEq/h)<br />

102.87±4.0 28.82±4.3*** 27.92±2.4*** 3.25±1.7*** 5.62±0.8*** 4.20±0.6***<br />

Values indicate mean ± S.E.M.<br />

Significant variation against Indomethacin – treated group at * = P < 0.05 and *** = P < 0.001<br />

As regards cimetidine, each <strong>of</strong> the two doses (50 & 100 mg/kg), when administered 30 minutes<br />

prior to indomethacin, produced an appreciable decrease in the volume, titritable acidity and acid<br />

output <strong>of</strong> gastric secretion as compared to indomethacin – treated group. It was noticed that the<br />

significant changes in all parameters were dose – dependent as shown in table (2).<br />

4. Discussion<br />

The gastrointestinal side effects <strong>of</strong> NSAIDs, especially in the stomach, are one <strong>of</strong> the most serious<br />

complications in patients using these drugs (Hawkey, 2000; Wallace, 1997). Indeed, indomethacin<br />

showed potent ulcerogenic action in experimental animals (Takeuchi et al. 1991; Wallace, 1997).<br />

The antiulcerogenic activity <strong>of</strong> many plant species is related to their content <strong>of</strong> flavonoids.<br />

Spartium junceum L., a species used in Turkish folk medicine to treat gastric ulcer, contains<br />

glycosylated flavonoids with antioxidant activity (Yesilada et al., 2000).<br />

There are various plant-originated "gastroprotectors" with different composition that have been<br />

used in clinical and folk medicine in many countries due to their beneficial effects on the mucosa <strong>of</strong><br />

GIT. In China and Japan, polyphenol extracts such as Sopharadin extracts, containing flavonoids and<br />

its synthetic flavonoid derivative known as Solon are widely employed in peptic ulcer therapy and also<br />

as food additives and nutritional supplements, mainly because <strong>of</strong> their strong inhibition <strong>of</strong><br />

prostaglandin (PG) metabolism and vasoconstrictive leukotriene inhibition (Kyogoku et al., 1979).<br />

The phytochemical screening <strong>of</strong> the plant extract <strong>of</strong> Syzygium aromaticum carried out by<br />

Jenkins et al.(1967), showed that it contains alkaloids, amino acids, flavonoids, proteins, sterols,<br />

reducing sugars, tannins and phenols. Another study by Magaji and Yaro (2006) revealed the presence<br />

<strong>of</strong> tannins, resins, steroid glycosides, alkaloids and flavonoids.<br />

Flavonoids have anti-inflammatory activity and protect the gastric mucosa against a variety <strong>of</strong><br />

ulcerogenic agents in different mammalian species (Harborne and Williams, 2000). As a result, many<br />

studies have examined the antiulcerogenic activities <strong>of</strong> plants containing flavonoids using either<br />

naturally derived or synthetic compounds. Plants containing flavonoids were found to be effective in<br />

preventing this kind <strong>of</strong> lesion, mainly because <strong>of</strong> their antioxidant properties (Cody et al., 1986;<br />

Harborne and Williams, 2000).Recently, the antioxidant activity <strong>of</strong> flavonoids has attracted interest<br />

because <strong>of</strong> the strong evidence that oxidation processes are involved in the mechanisms <strong>of</strong> several<br />

gastric disorders, including ulcerogenesis (La Casa et al., 2000).<br />

The results <strong>of</strong> the present work revealed that SaETAC extract in the dose level <strong>of</strong> 100 mg/kg<br />

showed a reduction in ulcer index similar to that produced by cimetidine 50 mg/kg and in turn, the<br />

preventive index was nearly equal. Meanwhile, the larger dose <strong>of</strong> the extract (200mg/kg) reported an<br />

appreciable decrease in the ulcer index (2.6 ± 1.4) which is much lower than that produced by the big<br />

dose <strong>of</strong> cimetidine (100 mg/kg). Furthermore, both <strong>of</strong> the extract and cimetidine have reported a<br />

significant decrease in the volume and acid output <strong>of</strong> gastric secretion. Besides, it is noticed that the<br />

larger dose <strong>of</strong> the extract has provided a higher degree <strong>of</strong> ulcer prevention (92.3%). This<br />

gastroprotective effect may be resulting from the marked decrease in the volume and acid output <strong>of</strong>


911 Okasha Mohammad Abdul- Halim, Magaji Rabiu Abdussalam,<br />

Abubakar Mujtaba Suleiman and Fatihu Muhammad Yakasai<br />

gastric secretion produced by administration <strong>of</strong> the SaETAC extract, in addition to the high flavonoids<br />

contained in the extract.<br />

The results <strong>of</strong> our study are consistent with the results <strong>of</strong> Giamperi et al. (2004) who reported<br />

that grapefruit seed extract showed good gastroprotective antiulcerogenic activity and they attributed<br />

this effect to the antioxidative activity <strong>of</strong> citrus flavonoids found in grapefruit. Also, Heggers and his<br />

colleagues (2002) and Reagor et al. (2002) reported that grapefruit flavonoids possess antibacterial,<br />

antiviral and antifungal properties.<br />

It can be concluded by the analysis <strong>of</strong> the obtained data that the anti ulcer activity <strong>of</strong> SaETAC<br />

extract against indomethacin – induced gastric mucosal damage includes: the high content <strong>of</strong><br />

flavonoids in that extract, its exact mechanism <strong>of</strong> action remains unclear, but may involve an action on<br />

biosynthesis and metabolism <strong>of</strong> prostaglandins and mucus in the gastric mucosa (Motilva et al., 1994).<br />

Also, flavonoids has antibacterial, antiviral, antifungal (Heggers et al., 2002) and antioxidative activity<br />

(Giamperi et al., 2004). In addition, the SaETAC extract has decreased the volume and acid output <strong>of</strong><br />

gastric secretion, as reported from our study results, an effect which may contributes in its gastric<br />

mucosal protective activity.<br />

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Abubakar Mujtaba Suleiman and Fatihu Muhammad Yakasai<br />

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Method for the Uniform production <strong>of</strong> gastric ulceration in the Rat. Gastroenterology, 5: 43-61.<br />

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<strong>of</strong> Syzygium aromaticum (L.) Merr. & Perry (Clove) on Sexual Behaviour <strong>of</strong> Normal male<br />

Rats. Complimentary and Alternative Medicine, 4: 17.<br />

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Pharmacognosy. Edited by: Trease, G.E., Evans, W.C., Bailliere Tindall and Cassell, London,<br />

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activity guided fraction. Ethnopharmacology, 73(3): 471-478.


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.914-923<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

Real Digital TV Accessed by Cellular Mobile System<br />

Basil M. Kasasbeh<br />

Faculty <strong>of</strong> Information Technology, Applied Science University<br />

Amman 11931, Jordan<br />

E-mail: b_kasasbeh@asu.edu.jo<br />

Rafa E. Al-Qutaish<br />

Faculty <strong>of</strong> Information Technology, Applied Science University<br />

Amman 11931, Jordan<br />

E-mail: rafa@rafa-elayyan.net<br />

Muzhir S. Al-Ani<br />

Faculty <strong>of</strong> Information Technology, Amman Arab University<br />

Amman 11953, Jordan<br />

E-mail: muzhir@aau.edu.jo<br />

Khalid Al-Sarayreh<br />

Faculty <strong>of</strong> Information Technology, Applied Science University<br />

Amman 11931, Jordan<br />

E-mail: khalid_sar@yahoo.com<br />

Abstract<br />

Presently, there is a huge revolution through the use <strong>of</strong> internet and cellular mobile<br />

units, that almost dominant the world by a huge investment in this field. This paper aims at<br />

incorporating the digital live TV video to the cellular mobile system. The next generation<br />

cellular mobile communication system can have the ability to access the video TV with<br />

high resolution. This system is constructed by receiving and multiplexing satellite TV<br />

channels to be standby and accessible.<br />

Keywords: Wireless Communication, Cellular Networks, Mobile Communication, TV<br />

Broadcast, Next Generation Mobile Systems, Multimedia Systems, Video<br />

Transmission.<br />

1. Introduction<br />

Marconi’s invention in 1901 led to start new fields <strong>of</strong> telecommunications revolution such as radio,<br />

TV, satellite, mobile, wireless networking and cellular technology. Nowadays, wireless<br />

communications and networks play an important part <strong>of</strong> communications over the world and led a<br />

wonderful growth <strong>of</strong> market [1].<br />

Wireless and cellular revolution is apparent in the growth <strong>of</strong> the mobile phone market. In 1990<br />

the mobile phone users were approximately 11 millions but this number is increasing rapidly to 1<br />

billion in 2004. The future predicts billions and billions <strong>of</strong> users and so <strong>of</strong> investments. This huge


Real Digital TV Accessed by Cellular Mobile System 915<br />

number <strong>of</strong> users over the world needs a simple, convenient, standard, compatible, flexible, and wide<br />

variety <strong>of</strong> services [2].<br />

Last few years the cost associated with mobile telephones have been decreasing. Mobile<br />

telephone prices have dropped since 1996 and they are an economical way to provide phone service to<br />

the population. New types <strong>of</strong> wireless devices are being introduced that have access to the internet to<br />

achieve the services available on the internet. Modern mobiles units consist <strong>of</strong> elegant and comfortable<br />

features that lead to new services.<br />

Nowadays, there is a huge revolution through the use <strong>of</strong> internet and cellular mobile units, that<br />

almost dominant the world by a huge investment in this field. This paper aims at incorporating the<br />

digital live TV video to the cellular mobile system. The next generation cellular mobile communication<br />

system can have the ability to access the video TV with high resolution. This system is constructed by<br />

receiving and multiplexing satellite TV channels to be standby and accessible.<br />

This paper presents an overview the digital TV broadcasting in Section 2 and an overview <strong>of</strong><br />

the digital satellite TV in Section 3. Section 4 discusses the digital video broadcasting. In section 5, the<br />

third generation wireless system is discussed. Section 6 describes the next generation wireless system.<br />

Section 7 presents the proposed RD-TV-CM system. Finally, a discussion in Section 8 concludes the<br />

paper.<br />

2. Digital TV Broadcast<br />

Many attempts have been examined to introduce digital TV with higher resolution, but these affect the<br />

huge number <strong>of</strong> existing old systems. One approach to design a common standard for digital<br />

broadcasting TV goes in parallel with mobile communications systems applying video compression<br />

[3].<br />

In 1993 the aim <strong>of</strong> development a common digital TV system for Europe were named Digital<br />

Video Broadcasting (DVB) and Digital Audio Broadcasting (DAB). The goal <strong>of</strong> DVB is to introduce<br />

digital television broadcasting using satellite transmission and terrestrial transmission. Different levels<br />

<strong>of</strong> quality are integrated in receiver decoder such as [4]:<br />

• Standard Definition TV (SDTV)<br />

• Enhanced Definition TV (EDTV).<br />

• High Definition TV.<br />

• Multimedia PC.<br />

• High Resolution Systems (HRS).<br />

Transmits data using flexible containers are basically using MPEG-2 frames. DVB sends<br />

service information contained in its data stream which specifies the content <strong>of</strong> a container. The<br />

following contents have been defined:<br />

• Network Information Table (NIT) that lists the services <strong>of</strong> provider set-top boxes.<br />

• Service Description Table (SDT), that lists names and parameters for each service within an<br />

MPEG multiplexed channel.<br />

• Event Information Table (EIT) that contains status information about the current<br />

transmission and some additional information for set-top boxes.<br />

• Time and Data Table (TDT), that contains update information for set-top boxes.<br />

These different types <strong>of</strong> data are either contains a single channel for HDTV, multiple channels<br />

for EDTV or SDTV, or multimedia data broadcasting [5].<br />

3. Digital Satellite TV<br />

The invention <strong>of</strong> Satellite led to a big revolution in communications that have been used in the<br />

following fields: weather forecasting, Radio & TV broadcasting, military applications and navigation.


916 Basil M. Kasasbeh, Rafa E. Al-Qutaish, Muzhir S. Al-Ani and Khalid Al-Sarayreh<br />

Motion Picture Expert Group (MPEG) describes a form <strong>of</strong> compression for digital moving<br />

images <strong>of</strong> TV. This format also allows for audio datastreams synchronizing with the video. Analog<br />

satellite TV uses around 27-36 MHz <strong>of</strong> bandwidth for its FM video and FM audio subcarriers for each<br />

channel. So the operators put some separate channels, via a digital datastream into a similar bandwidth.<br />

The actual compression ratio can be varied with the needs <strong>of</strong> suppliers <strong>of</strong> the video information<br />

between Studio needs 12 Mbps, Broadcast needs 8 Mbps and VHS needs 2 Mbps [3].<br />

The Digital data from several channels can be multiplexed into an MPEG Transport Stream<br />

(MPEG-TS) along with various audio channels. A package with several channels modulated onto one<br />

carrier. The lowest compression ratio will occupy the highest bandwidth but will be needed when the<br />

video content requires much detail.<br />

4. Digital Video Broadcast<br />

Digital Video Broadcast (DVB) is another group that is important and interesting in satellite<br />

transmission. DVB or any satellite system must have at least the following features that required for<br />

Integrated Receiver Decoder (IRD) (i.e satellite box) [6]:<br />

1. System Recommended Requirements<br />

• MPEG-2 transport stream is used.<br />

• Service information is based on MPEG-2 program specific information<br />

• Scrambling is defined by CA (Conditional Access) technical group.<br />

• CA uses the MPEG-2 CA-descriptor.<br />

2. Video Recommended Requirements:<br />

• MPEG-2 main pr<strong>of</strong>ile at main level is used (1.5-15 Mbps).<br />

• The frame rate is 25 Hz.<br />

• Encoded pictures may have either 4:3 or 16:9 aspect ration.<br />

• IRDs will support 4:3 and 16:9 aspect ratio.<br />

• IRDs must support the use <strong>of</strong> pan and scan vectors to allow 4:3 monitor to give a full screen<br />

display <strong>of</strong> 16:9 coded picture.<br />

• IRDs must support a full screen display <strong>of</strong> 720*576 pixels.<br />

• IRDs must provide appropriate up conversion to produce a full screen display <strong>of</strong> 544*576<br />

pixels and 480*576.<br />

3. Audio Recommended Requirements<br />

• MPEG-2 layer I and layer II must be supported by the IRD.<br />

• The use <strong>of</strong> layer II is recommended for the encoded bitstream.<br />

• IRDs must support single channel, dual channel joint stereo and extraction <strong>of</strong> at least a<br />

stereo pair from MPEG-2 compatible multichannel audio.<br />

• IRDs must support sampling rates <strong>of</strong> 32 kHz, 44.1 kHz and 48 kHz.<br />

5. Third Generation Wireless System<br />

The objective <strong>of</strong> the third generation (3G) wireless communications is to provide fairly high speed<br />

wireless communications to support multimedia, data, video in addition to voice. The ITU for the year<br />

2000 was developed the IMT-2000 that defined the 3G capabilities as, voice quality, 144 kbps data rate<br />

for high speed vehicles, 384 kbps data rate for slowly moving, 2.048 Mbps for <strong>of</strong>fice use, symmetrical<br />

and asymmetrical data transmission rates, support for both packet switched and circuit switched data


Real Digital TV Accessed by Cellular Mobile System 917<br />

services, adaptive interface to the internet, more efficient use, support for wide variety <strong>of</strong> mobile<br />

equipment and flexibility to allow the introduction <strong>of</strong> new services and technologies.<br />

Modern communication technology is the trend toward universal personal telecommunications<br />

and universal communications access. One concept refers to the ability <strong>of</strong> a person to identify easily by<br />

using any communication system in the country. The other concept refers to the capability <strong>of</strong> one's<br />

terminal in a wide variety <strong>of</strong> environments to connect to information services. Personal<br />

Communications Services (PCSs) and Personal Communications Networks (PCNs) are some concepts<br />

<strong>of</strong> wireless communications and objectives <strong>of</strong> 3G wireless.<br />

<strong>European</strong> Telecommunications Standards Institute (ETSI) works to develop a Universal Mobile<br />

Telecommunications System (UMTS) as Europe's 3G wireless standard. UMTS includes two<br />

standards; one is Wideband CDMA (W-CDMA) to provide high data rate with efficient use <strong>of</strong><br />

bandwidth. The other standard is known as IMT-TC (TD-CDMA) that is a combination <strong>of</strong> W-CDMA<br />

and TDMA technology [7, 8].<br />

The dominant technology for 3G system is CDMA. Different CDMA schemes share some<br />

common such as bandwidth, chip rate and multirate. Bandwidth is an important design goal for 3G<br />

system is to limit channel usage to 5 MHz. This value <strong>of</strong> bandwidth or more improves the receiver's<br />

ability to resolve multipath when compared to narrow band. The chip rate depends on desired data rate<br />

and bandwidth limitations. A chip rate <strong>of</strong> 3 Mcps or more is reasonable. Multirate refers to the<br />

provision <strong>of</strong> multiple fixed data rate logical channels to a given user, in which different data rates are<br />

provided on different logical channels.<br />

6. Next Generation Wireless System<br />

Multimedia broadcasting and DVB can be also used for high bandwidth asymmetrical internet access.<br />

Different types <strong>of</strong> service provider can help to provide information to the customers as illustrated in<br />

Figure 1. If the customer wants to download high-volume information, the information provider<br />

transmits this information to the satellite provider via service provider.<br />

TV<br />

broadcasting<br />

Radio<br />

broadcasting<br />

Internet<br />

provider<br />

Figure 1: Mobile internet services.<br />

Next<br />

Generation<br />

Internet<br />

TV Receiver<br />

Radio Receiver<br />

Next<br />

Generation<br />

Mobile<br />

The satellite provider multiplexes a stream <strong>of</strong> data together with other digital TV channels and<br />

transmits it to the customer via satellite and a satellite receiver. The customer can receive the<br />

information with the help <strong>of</strong> a DVB adapter inside a multimedia PC. These information can be<br />

encrypted to ensure that the information received by the indicated customer.<br />

The 3G cellular system through the year 2006 is extended over a wide area <strong>of</strong> the world. The<br />

trend <strong>of</strong> 4G or Next Generation (NG) <strong>of</strong> mobile cellular systems may be covering all the<br />

communications and services over the world. The 4G <strong>of</strong>fers the following views: next generation, new<br />

air interface, new network, strict generation, wireless & wireline, technology trends, service providers,<br />

wireless internet, higher bit rate, cost reduction, user services and white space.


918 Basil M. Kasasbeh, Rafa E. Al-Qutaish, Muzhir S. Al-Ani and Khalid Al-Sarayreh<br />

The trends <strong>of</strong> NG mobile system may be deployed around the year 2010. The aim is to integrate<br />

all type <strong>of</strong> services in a single frame. NG is not necessary defined by specific features but by<br />

significant advance in system capability beyond what can be achieved with 3G. The NG data<br />

transmission rate are planned to be up to 20 Mbps, which 10 times faster than the 3G. NG will allow<br />

high quality smooth video transmission.<br />

Multimedia network illustrated in Figure 2 to cover a huge number <strong>of</strong> different types <strong>of</strong><br />

services that are compatible and accessible to the next generation mobile system. The suggestion <strong>of</strong> a<br />

new technologies supported to computers, communications and networking to standardized and merge<br />

all forms <strong>of</strong> data including audio and video in a multimedia streams. The customer can access any<br />

service via its IP address identification. This form can be standardized and any sub network can<br />

connect via adapted interface to the high speed internet to form a big and huge collection <strong>of</strong> services<br />

over the world that is the Multimedia Broadcast over a Cellular Network (MBCN). The Fast<br />

Information Channel (FIC) is transmitted using a special modulation scheme that is a Multi Carrier<br />

Modulation (MCM). The last stage before transmitter is the wide band Orthogonal Frequency Division<br />

Multiplexing (OFDM) that is able to compact wide band <strong>of</strong> information [9].<br />

Audio<br />

Service<br />

Data<br />

Service<br />

Video<br />

Service<br />

Figure 2: Multimedia multiplexing system.<br />

Audio<br />

Encoder<br />

Packet<br />

Encoder<br />

Video<br />

Encoder<br />

Channel<br />

Coder 1<br />

Channel<br />

Coder n<br />

Channel<br />

Coder 1<br />

Channel<br />

Coder n<br />

Channel<br />

Coder 1<br />

Channel<br />

Coder n<br />

Main<br />

Service<br />

Channel<br />

MSC<br />

MUX<br />

Transmitted<br />

Signal<br />

Fast<br />

Information<br />

Channel (FIC)<br />

7. Proposed RD-TV-CM System<br />

Nowadays, we are looking for a tremendous revolution in mobile system services and applications.<br />

Different types <strong>of</strong> wireless data transmission that applied cellular technology have unsymmetrical<br />

characteristics. In order to integrate these different multimedia systems over a standard network, it<br />

must be capable to adapt these different types <strong>of</strong> data. Many important features must be standardized to<br />

reach an integrated <strong>of</strong> all available system. Wide bandwidth, high bit rate and huge amount <strong>of</strong> capacity<br />

are the most important features to recover all multimedia transmissions as well as some specifications<br />

for cellular mobile to store and display the received data.<br />

Introduction <strong>of</strong> mobile IP address <strong>of</strong>fers a new technology <strong>of</strong> mobile access to all internet<br />

services with some retraction <strong>of</strong> speed. The digital TV channels can be transmitted via satellite and<br />

then received by the customer as requested information.<br />

The consumers, looking for near future, through the introduction <strong>of</strong> new mobile technologies,<br />

so by using these devices they can be able to access all the services over a separate air interface. The<br />

Transmission<br />

MUX<br />

Transmitter<br />

OFDM


Real Digital TV Accessed by Cellular Mobile System 919<br />

proposed Real Digital TV accessed by Cellular Mobile (RD-TV-CM) may be constructed through<br />

eight items; the next subsections describe these eight items.<br />

7.1. Satellite Configuration<br />

Many configurations can be provided between earth station and satellite antenna, and the suitable one<br />

is being used to provide point to point link between base station transmitter and Base Station Mobile<br />

Center Receiver (BS-MCR) through the satellite as shown in Figure 3.<br />

Multi<br />

Receivers<br />

7.2. Channels Distribution<br />

Satellite 1<br />

Transmitter 1<br />

Figure3: Broadcasting TV satellite.<br />

Multi<br />

Receivers<br />

Multi<br />

Receivers<br />

Satellite 2<br />

Transmitter 2<br />

Multi<br />

Receivers<br />

The construction <strong>of</strong> BS-MCR is built to receive several satellite sits from different areas over the<br />

world. These multiple receivers are fixed on their specific areas and each sub receiver is concentrated<br />

on a number <strong>of</strong> channels. This is built through a two set <strong>of</strong> nested multiplexers, one set for satellite and<br />

the other for channels as shown in Figure 4.<br />

SAT1<br />

SATm<br />

7.3. Image Compression<br />

.<br />

.<br />

.<br />

.<br />

.<br />

.<br />

.<br />

.<br />

.<br />

Figure 4: Multiplexing channel system.<br />

Satellite<br />

Multiplexing<br />

SAT1_CH1<br />

SAT1_CHn<br />

.<br />

.<br />

.<br />

.<br />

.<br />

.<br />

SATm_CHn<br />

Channel<br />

Multiplexing<br />

Selected<br />

Channel<br />

High digital TV image is at least 1024*1024 pixels. So retransmitted this form needed a huge capacity<br />

as well as high speed. The aim is to introduce this image in new form to be adapted with the suggested


920 Basil M. Kasasbeh, Rafa E. Al-Qutaish, Muzhir S. Al-Ani and Khalid Al-Sarayreh<br />

system. The best form <strong>of</strong> reduction that referred to new mobile technology is to reduce the size by a<br />

factor <strong>of</strong> 4. This can be implemented by two level <strong>of</strong> compression to generate a new image size <strong>of</strong><br />

265*256 as shown in Figure 5.<br />

0<br />

1<br />

2<br />

3<br />

.<br />

.<br />

.<br />

.<br />

.<br />

1023<br />

7.4. Frame Format<br />

0 1 2 3 . . . . . . . . . .1023<br />

Figure 5: Image compression.<br />

0<br />

1<br />

2<br />

.<br />

.<br />

511<br />

Level_1 compression<br />

0 1 2 . . . . 511<br />

0<br />

1<br />

.<br />

255<br />

Level_2 compression<br />

0 1 . .255<br />

The suggested frame format shown in Figure 6 consists <strong>of</strong> the following fields :<br />

• Start Frame (SF), 2 bytes length.<br />

• -*Identification Source Address (ISA), 2 bytes length.<br />

• Identification Destination Address (IDA), 2 bytes length.<br />

• Identification Function Frame (IFF), 2 bytes length, identifies the purpose <strong>of</strong> frame.<br />

• User Data Frame (UDF), 64*3 kbytes length.<br />

• End Frame (EF), 2 bytes length.<br />

S<br />

F<br />

7.5. Rate Specification<br />

I<br />

S<br />

A<br />

I<br />

D<br />

A<br />

Figure 6: Frame format structure.<br />

I<br />

F<br />

F<br />

2 2 2 2 192 k 2 Bytes<br />

The frame length is 16 bytes <strong>of</strong> synchronization and identification and 64*3 bytes for data. The 64<br />

kbytes comes from 256*256 pixels image size. So the total frame length is 1536128 bits. Acceptable<br />

live TV must be transmitted at least 25 frame per second. The permitted bit rate in this case is<br />

38.403200 Mbps.<br />

U<br />

D<br />

F<br />

E<br />

F


Real Digital TV Accessed by Cellular Mobile System 921<br />

7.6. Handover<br />

The aim <strong>of</strong> handover in a Cellular system should not cause a cut-<strong>of</strong>f and keep call in best quality,<br />

during the mobility <strong>of</strong> mobile out <strong>of</strong> the BTS range or crossing the boundaries <strong>of</strong> the cell. When a<br />

mobile phone access the satellite TV broadcasting, so it must be adapted to any movement <strong>of</strong> mobile<br />

phone as well as the satellite movements. This is done by an Intelligent Supervisory System (ISS) to<br />

compare between all the parameters as shown in Figure 7.<br />

7.7. Operation<br />

Handover in Satellite System<br />

Figure 7: Intelligent Handover.<br />

Intelligent Supervisory System<br />

Handover in Mobile System<br />

The company mobile center installed a many receivers to receive a certain satellites. The next<br />

generation mobile unit is built to load and excite TV s<strong>of</strong>tware. The operation started firstly when a<br />

mobile user requesting a specific satellite TV, that is confirmed by MSC company. Secondly the<br />

mobile user requesting a specific channel, that is also confirmed by MSC. When all the lows are in<br />

order, so the requested service has been in the hand <strong>of</strong> the mobile user as shown in Figure 8.<br />

Satellite<br />

Center<br />

Figure 8: Transmitting <strong>of</strong> data.<br />

Mobile<br />

Center<br />

Req. Sat.<br />

Req. Ch.<br />

Ack. Sat.<br />

Ack. Ch.<br />

Data Flow<br />

Mobile<br />

User


922 Basil M. Kasasbeh, Rafa E. Al-Qutaish, Muzhir S. Al-Ani and Khalid Al-Sarayreh<br />

7.8. System structure<br />

The structure <strong>of</strong> the system can be divided into the following five subsystems:<br />

1. Satellite Antenna (SA),<br />

2. Satellite Receiver (SR),<br />

3. Multiplexing System (MS),<br />

4. Mobile Network (MN), and<br />

5. Mobile Subscriber (MS).<br />

The MS demand a specific satellite then a certain channel by the s<strong>of</strong>tware executed over the<br />

mobile phone. These informations transmitted to the MS through the MN. The MS pointed to the<br />

indicated satellite and channel and insure a line from the requested channel to the subscriber.<br />

8. Conclusion<br />

Currently, there is a huge revolution through the use <strong>of</strong> internet and cellular mobile units, that almost<br />

dominant the world by a huge investment in this field. This paper aims at incorporating the digital live<br />

TV video to the cellular mobile system. The next generation cellular mobile communication system<br />

can have the ability to access the video TV with high resolution. This system is constructed by<br />

receiving and multiplexing satellite TV channels to be standby and accessible.<br />

Huge amount <strong>of</strong> money invested in the market <strong>of</strong> Wireless telecommunications networks that<br />

leads to new technologies to serve this field. The impaction <strong>of</strong> all multimedia data in a single channel<br />

can be accessed from mobile unit is a strong and power technology which is an elegant face <strong>of</strong> the next<br />

generation mobile system. The system is simple and depends on the multiplexing <strong>of</strong> different<br />

multimedia services that can be accessed by the subscriber. This distribution is flexible and compatible<br />

that permits the customer to access any services from its own mobile unites at any site over the world.<br />

This system must be intelligent to avoid loaded capacity when a huge number <strong>of</strong> subscribers need to<br />

access the same service. This system can be reach its maximum efficiency, when the next generation<br />

well be reachable and accessible with their adaptable high speed <strong>of</strong> transmission, high verity <strong>of</strong><br />

services, high capacity <strong>of</strong> channels, high quality and performance <strong>of</strong> mobile units with high screen<br />

resolution.<br />

Acknowledgement<br />

This work was supported by the Applied Science University, Amman, Jordan.


Real Digital TV Accessed by Cellular Mobile System 923<br />

References<br />

[1] W. H. Al-Sawalmeh and M. S. Al-Ani, “Signal Strength Measurements in GSM”, Asian<br />

<strong>Journal</strong> <strong>of</strong> Information Technology, Vol. 3, No. 11, 2004, pp. 1103-1107.<br />

[2] W. Stallings, Wireless Communications and Networks, Prentice Hall, New Jersey, 2002.<br />

[3] W. X. Wang and S. D. Blostein, “Video Image Transmission over Mobile Satellite Channel”,<br />

Elsevier, Signal Processing (Image Communication), Vol. 16, No. 6, 2001, pp. 531-540.<br />

[4] D. E. Comer, Network Systems Deign Using Network Processors, Person Education Inc., 2004.<br />

[5] K. B. Benson and D. G. Fink, HDTV Advanced TV, McGraw Hill, New York 1991.<br />

[6] J. W. Mark and W. Zhuang, Wireless Communications and Networking, Prentice Education,<br />

New Jersey, 2003.<br />

[7] P. M. Heysters, H. Bouma, J. Smit and G. J. M. Smit, “A Reconfigurable Function Array<br />

Architecture for 3G and 4G Wireless Terminals”, in proceedings <strong>of</strong> the World Wireless<br />

Congress, San Francisco, USA, 2002<br />

[8] J. Schiller, Mobile Communications, Person Education Limited, England, second edition, 2003.<br />

[9] G. J. M. Smit, P. J. M. Havinga, M. Bos, L. T. Smit and P. M. Heysters, “Reconfiguration in<br />

Mobile Multimedia Systems”, in proceedings <strong>of</strong> Progress Workshop on Embedded Systems,<br />

Utrecht, Netherlands, 2000


<strong>European</strong> <strong>Journal</strong> <strong>of</strong> <strong>Scientific</strong> <strong>Research</strong><br />

ISSN 1450-216X Vol.20 No.4 (2008), pp.924-933<br />

© Euro<strong>Journal</strong>s Publishing, Inc. 2008<br />

http://www.eurojournals.com/ejsr.htm<br />

A Rule-Based Fuzzy Automatic Voltage Regulator for<br />

Power System Stability<br />

Samuel N. Ndubisi<br />

Department <strong>of</strong> Electrical and Electronic Engineering, Enugu State<br />

University <strong>of</strong> Science and Technology PMB 01660, Enugu, Nigeria<br />

E-mail: linkdrsam@yahoo.com<br />

Tel.: 2348037046217<br />

Marcel .U. Agu<br />

Department <strong>of</strong> Electrical Engineering, University <strong>of</strong> Nigeria Nsukka<br />

Enugu State, Nigeria<br />

Abstract<br />

Conventional automatic voltage regulators (CAVR) are observed to have limited<br />

operational performance as regards to the control <strong>of</strong> turbo generator terminal voltage and<br />

reactive power during abnormal operating conditions. This is due to its fixed parameters<br />

and linearized models <strong>of</strong> the power system. This paper presents a rule based fuzzy logic<br />

controller configured in form <strong>of</strong> proportional integral controller. It showed a very high<br />

improved control <strong>of</strong> the turbo generator terminal voltage due to very high number <strong>of</strong> rules<br />

(11×11) used and the plant model is not really being considered. Settling time, over shoot<br />

etc. were equally reduced by the new controller.<br />

Keywords: Conventional automatic voltage regulators; fuzzy logic controller; exciter;<br />

fuzzy rules.<br />

1. Introduction<br />

The primary function <strong>of</strong> the Automatic Voltage Regulator (AVR) <strong>of</strong> the turbo generator (TG) is to<br />

control the terminal voltage and reactive power whilst also ensuring proper sharing <strong>of</strong> the reactive<br />

power amongst parallel connected generators. Load changes and faults always subjects TGs which are<br />

nonlinear systems to terminal voltage and reactive power variations. The AVR design must be robust<br />

enough to cope with both normal load and fault condition <strong>of</strong> operation. The resultant effect <strong>of</strong> all these<br />

changes in operating condition is that there will be considerable changes in the TG dynamics. <strong>Research</strong><br />

has shown that conventional linear fixed gain AVRs can worsen the performance under this condition.<br />

Response variations in some circumstances causes negative damping, and degrading system stability<br />

[1].<br />

Also the TG model is needed before designing the AVR controller. The idea in this work is to<br />

overcome these problems by developing an exact functional replacement for a conventional AVR, with<br />

machine voltage the only feedback signal. It is based on the fuzzy logic control.<br />

The fuzzy logic concept incorporates an alternative way which allows one to design a controller<br />

using a higher level <strong>of</strong> abstraction without knowing the plant model [2]. This makes fuzzy logic<br />

controllers very attractive for ill defined systems with uncertain parameters. With the help <strong>of</strong> fuzzy


A Rule-Based Fuzzy Automatic Voltage Regulator for Power System Stability 925<br />

logic concepts, experts’ knowledge can be used directly to design a controller. Fuzzy logic allows one<br />

to express the knowledge with subjective concepts such as very big, too small, moderate and slighty<br />

deviated, which are mapped to numeric ranges [3].<br />

Fuzzy control implementation <strong>of</strong> AVR has been reported in a number <strong>of</strong> publications [4,5,6].<br />

Due to its lower computation burden and its ability to accommodate uncertainties in the plant model,<br />

fuzzy logic PI configured AVR (FAVR) appear to be suitable for implementing AVRs. The<br />

implementation <strong>of</strong> FAVR is through simple microcomputer with A/D and D/A converters [7]. The<br />

performance <strong>of</strong> this controller is observed to depend on the operating conditions <strong>of</strong> the system,<br />

although, it is less sensitive than conventional linear PI controller. In this paper, a rule based fuzzy<br />

logic PI configured controller is developed for excitation and generator terminal voltage control. The<br />

vast rule (11×11) developed for the FAVR made it well suitable for different operating conditions <strong>of</strong><br />

the plant. The controller is applied to a mathematical model <strong>of</strong> the exciter and synchronous generator.<br />

The responses <strong>of</strong> the machine subject to a fault in the transmission line is obtained by nonlinear<br />

simulations [7]. System responses for three different operating conditions are conducted using FAVR,<br />

conventional PI, and PID controller. All the simulations are carried out using MATLAB s<strong>of</strong>tware<br />

package. Result shows reduction in overshoot, settling time, rise time and overall responses.<br />

2. Rule – Based Fuzzy Logic AVR<br />

A fuzzy logic controller (FLC) is a special kind <strong>of</strong> a state variable controller governed by a family <strong>of</strong><br />

rules and a fuzzy inference mechanism. The FLC algorithm can be implemented using heuristic<br />

strategies, defined by linguistically described statements. The fuzzy logic control algorithm reflects the<br />

mechanism <strong>of</strong> control implemented by people, without using any formalized knowledge about the<br />

controlled plant in the form <strong>of</strong> mathematical models, and without an analytical description <strong>of</strong> the<br />

control algorithm. The main FLC are fuzzification, rule base, inference mechanism and defuzzification<br />

[8]. Fuzzification is the process <strong>of</strong> transferring the crisp input variables to corresponding fuzzy<br />

variables. In this work, the error between the desired voltage Vd and the terminal voltage Vt i.e. Ve and<br />

the integral <strong>of</strong> the error VI are the two inputs. Ve is fuzzified according to the membership functions<br />

shown in fig.1 and is similar to membership function <strong>of</strong> VI.<br />

For each input variable eleven labels are defined, namely: NV, NL, NB, NM, NS, ZR, PS, PM,<br />

PB, PL and PV which stands for negative very large, negative large, negative big, negative medium,<br />

negative small, zero, positive small, positive medium, positive big, positive large and positive very<br />

large. This numerically stands for (-1, -0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 08 and 1). With the two<br />

inputs for this FLC, an (11×11) decision table is constructed as shown in Table 1. Every entity in the<br />

table represents a rule. The antecedent <strong>of</strong> each rule conjuncts Ve and VI fuzzy set values. An example<br />

<strong>of</strong> the ith rule is: if Ve is NS and VI is PL then U is PB. This means that if the voltage error is negative<br />

small and integral <strong>of</strong> voltage error is positive large then the output <strong>of</strong> controller should be positive big.<br />

Figure 1: Membership functions for input Ve<br />

The procedure for calculating the crisp output <strong>of</strong> the FLC for some values <strong>of</strong> input variables is<br />

based on the following three steps [8];


926 Samuel N. Ndubisi and Marcel .U. Agu<br />

STEP 1: Determination <strong>of</strong> the degree <strong>of</strong> firing (DOF) <strong>of</strong> the rules<br />

The (DOF) <strong>of</strong> the ith rule consequent is a scalar value which equals the minimum <strong>of</strong> the two antecedent<br />

membership degrees.<br />

Table 1: Decision table <strong>of</strong> 121 rules<br />

Integral <strong>of</strong> voltage error VI<br />

Voltage error Ve NV NL NB NM NS ZR PS PM PB PL PV<br />

NV NV NV NV NV NV NV NL NB NM NS ZR<br />

NL NV NV NV NV NV NL NB NM NS ZR PS<br />

NB NV NV NV NV NL NB NM NS ZR PS PM<br />

NM NV NV NV NL NB NM NS ZR PS PM PB<br />

NS NV NV NL NB NM NS ZR PS PM PB PL<br />

ZR NV NL NB NM NS ZR PS PM PB PL PV<br />

PS NL NB NM NS ZR PS PM PB PL PV PV<br />

PM NB NM NS ZR PS PM PB PL PV PV PV<br />

PB NM NS ZR PS PM PB PL PV PV PV PV<br />

PL NS ZR PS PM PB PL PV PV PV PV PV<br />

PV ZR PS PM PB PL PV PV PV PV PV PV<br />

For instance, if Ve is PM with a membership degree <strong>of</strong> 0.4 and VI is PS with a membership<br />

degree <strong>of</strong> 0.2 then the degree <strong>of</strong> firing <strong>of</strong> this rule is 0.2.<br />

STEP 2: Inference mechanism<br />

The inference mechanism consists <strong>of</strong> two processes called fuzzy implication and rule aggregation. The<br />

degree <strong>of</strong> firing <strong>of</strong> rule interacts with its consequent to provide the output <strong>of</strong> the rule, which is a fuzzy<br />

subset. The formulation used to determine how the DOF and the consequent fuzzy set interact to form<br />

the rule output is called a fuzzy implication. In fuzzy logic control the most commonly used method for<br />

inferring the rule output is mamdani method [9, 10, 11].<br />

STEP 3: Defuzzification<br />

To obtain a crisp output value from the fuzzy set obtained in the previous step, a mechanism called<br />

defuzzification is used. In this work output u is defuzzified according to the membership functions<br />

shown in fig 2. Centre <strong>of</strong> area method [7] is used for defuzzification.<br />

Figure 2: Membership functions for output u<br />

Tuning: To achieve a fast response from the controller during faults, the FLC can be tunned with the<br />

parameters g0, g1 and g2 as shown in fig 4.<br />

3. A Power System Dynamic Model<br />

In this paper, simplified dynamic model <strong>of</strong> a single-machine infinite bus power system is considered<br />

[12]. This model consists <strong>of</strong> a single synchronous machine connected through a parallel transmission


A Rule-Based Fuzzy Automatic Voltage Regulator for Power System Stability 927<br />

line to a very large network approximated by an infinite bus. The classical third order single–axis<br />

dynamic model <strong>of</strong> the simple machine infinite bus power system shown in fig 3 has the equations as<br />

follows [12,13]<br />

3.1. Mechanical equations<br />

() t = ω()<br />

-ω<br />

0<br />

� δ t<br />

(1)<br />

ω� () t =<br />

D<br />

ω0<br />

( ω()<br />

t -ω0<br />

) − ( Pe<br />

( t)<br />

− Pm<br />

)<br />

H<br />

2H<br />

(2)<br />

The mechanical input power Pm is assumed to be constant in the excitation controller design.<br />

This implies that the governor action is slow enough not to have any significant impact on the machine<br />

dynamics.<br />

3.2. Electrical generator dynamics<br />

′<br />

1<br />

T ′<br />

( )<br />

() t = E () t − E () t<br />

Eq f q<br />

d 0 (3)<br />

3.3. Electrical equations (assumed X ′ d = X q )<br />

q () t = E′<br />

q () t + ( X d − X ′ d ) I () t<br />

′ f () t = K cU<br />

() t<br />

E′<br />

d ()<br />

() t Vs<br />

sinδ<br />

() t<br />

t =<br />

E d<br />

E f<br />

P<br />

I<br />

I<br />

e<br />

d<br />

q<br />

Q<br />

() t<br />

() t<br />

() t<br />

E′<br />

q<br />

=<br />

X ′ ds<br />

−V<br />

s cosδ<br />

t<br />

X ′<br />

() t ()<br />

Vs<br />

sinδ<br />

=<br />

X ′<br />

E′<br />

q<br />

=<br />

ds<br />

ds<br />

() t<br />

() t V cosδ () t<br />

s<br />

X ′<br />

ds<br />

() t = X I () t<br />

′<br />

E ad f<br />

() t = E′<br />

() t − X ′ I () t<br />

2<br />

s<br />

V<br />

−<br />

X ′<br />

[ ( ) ( () ) ] 2<br />

1<br />

2<br />

2<br />

+ X I t<br />

Vt q d d<br />

d q<br />

ds<br />

(11)<br />

More details <strong>of</strong> the modeling can be seen in [14]. The definitions <strong>of</strong> the parameters are as<br />

indicated under symbols and abbreviations.<br />

X = X + X + X<br />

(12)<br />

ds<br />

ds<br />

d<br />

d<br />

T<br />

T<br />

L<br />

L<br />

X ′ = X ′ + X + X<br />

(13)<br />

X =<br />

X + X<br />

s<br />

T<br />

L<br />

(4)<br />

(5)<br />

(6)<br />

(7)<br />

(8)<br />

(9)<br />

(10)


928 Samuel N. Ndubisi and Marcel .U. Agu<br />

3.4. Linear model <strong>of</strong> SMIB<br />

Figure 3: A single machine infinite bus power system.<br />

By linearizing the above equations about the operating point, we have the state variable model <strong>of</strong> a<br />

single machine to infinite bus (SMIB) as follows<br />

X � = AX<br />

+ BU<br />

(14)<br />

y = CX<br />

(15)<br />

Where the state variable x is defined by<br />

X = [ Δδ<br />

, Δω,<br />

ΔE′<br />

q ]<br />

In the above system matrix A, B, and C are represented by<br />

(16)<br />

⎡<br />

⎢<br />

⎢<br />

0<br />

1<br />

⎢ ω0<br />

V ′ s E q cosδ<br />

D<br />

A = ⎢−<br />

−<br />

⎢ 2H<br />

X ′ ds 2H<br />

⎢ ( X ′ d − X d ) Vs<br />

sinδ<br />

⎢−<br />

0<br />

⎢⎣<br />

T ′ ′<br />

d 0 X ds<br />

⎤<br />

⎥<br />

0<br />

⎥<br />

ω0<br />

V sin ⎥<br />

s δ<br />

−<br />

⎥<br />

2H<br />

X ′ ds ⎥<br />

1 ( X − ′ ) 1 ⎥<br />

d X d<br />

−<br />

⎥<br />

T ′ ′ ′<br />

d 0 Td<br />

0 X d 0 ⎥⎦<br />

⎡ ⎤<br />

⎢<br />

0<br />

⎥<br />

⎢ ⎥<br />

B = ⎢ 0 ⎥<br />

⎢ ⎥<br />

⎢<br />

K c ⎥<br />

⎢⎣<br />

T ′ ⎥ d 0 ⎦<br />

⎡ E′<br />

q − X d I d<br />

C = ⎢<br />

⎢⎣<br />

Vt<br />

− X ′ d Vs<br />

sinδ<br />

+<br />

X ′ ds<br />

2<br />

X ′ d I q<br />

Vt<br />

⎛ Vs<br />

⎞<br />

⎜<br />

⎟<br />

⎟cosδ<br />

⎝ X ′ ds ⎠<br />

0<br />

E′<br />

− ′ q X d I<br />

Vt<br />

where sub index 0 shows that matrices are calculated at operating point.<br />

( )( ) ( ) ( )<br />

3.5. Simplified voltage and reactive power control loop model (AVR)<br />

0<br />

d<br />

⎛ X ′ ⎤<br />

d ⎞<br />

⎜<br />

⎜1-<br />

⎟ ⎥<br />

⎝ X ′ ds ⎠ ⎥⎦<br />

It is observed from [15] that in an interconnected power system, that the control is made up <strong>of</strong> load<br />

frequency control loop (LFC) and automatic voltage control loop (AVR). The LFC loop controls<br />

changes in real power due to changes in rotor angle while the AVR loop controls the changes in<br />

reactive power which depends on excitation voltage magnitude. Because the excitation time constant is<br />

much smaller than the prime mover time constant, its transient decay much faster. For this, the crosscompiling<br />

between the LFC loop and AVR loop is negligible and hence the load frequency and<br />

excitation voltage control can be analyzed independently (see fig 4).<br />

0


A Rule-Based Fuzzy Automatic Voltage Regulator for Power System Stability 929<br />

Figure 4: Schematic diagram <strong>of</strong> LFC and AVR <strong>of</strong> a synchronous generator<br />

Thus, the AVR in fig 4 is replaced with the FAVR as shown in fig 5 and the nonlinear model<br />

developed as follows. Reference [12] gave different types <strong>of</strong> exciter and generator models but the<br />

model in fig 4 is a simplified linearized models which took into account the major time constants and<br />

ignores the saturation or other nonlinearities.<br />

Figure 5: FAVR control loop.<br />

From fig 5 Let<br />

V () t = X1<br />

() t , V f = X 2()<br />

t , b = X 3(<br />

t)<br />

Vt<br />

KG<br />

V<br />

()<br />

() t KG<br />

= or V�<br />

t = − + VF<br />

VF<br />

1+<br />

τ GS<br />

τ G τ G<br />

X1<br />

KG<br />

or V () t<br />

X 2<br />

τ G τ G<br />

+ − = �<br />

VF<br />

K F = or<br />

u 1+<br />

τ ES<br />

(17)<br />

VF<br />

K E X 2 K E<br />

VF<br />

() t = − + u = − + − u<br />

τ E τ E τ E τ E<br />

� (18)<br />

∫ V e = b = ∫ ( Vd<br />

−Vt<br />

) = VI<br />

or () 1 X V V V t b� = d<br />

So that<br />

− t = d −<br />

(19)


930 Samuel N. Ndubisi and Marcel .U. Agu<br />

⎡ 1<br />

⎢<br />

−<br />

⎡V�<br />

⎤<br />

G<br />

t ⎡X�<br />

⎤<br />

τ<br />

1 ⎢<br />

⎢ ⎥ ⎢ ⎥ ⎢<br />

F = ⎢V�<br />

F ⎥ = ⎢X�<br />

2⎥<br />

= ⎢ 0<br />

⎢<br />

b�<br />

() t<br />

⎥ ⎢<br />

X�<br />

⎥ ⎢<br />

⎣ ⎦ ⎣ 3 ⎦ ⎢ −1<br />

⎢<br />

⎣<br />

KG<br />

τ G<br />

1 K E − + u<br />

τ E τ E<br />

0<br />

⎤<br />

0<br />

⎥<br />

⎥ ⎡0⎤<br />

⎥<br />

0 +<br />

⎢ ⎥<br />

⎥ ⎢<br />

0<br />

⎥<br />

Vd<br />

⎥ ⎢⎣<br />

1⎥<br />

⎥<br />

⎦<br />

0<br />

⎥<br />

⎦<br />

⎡ 1<br />

F = ⎢−<br />

⎣ τ G<br />

y = CX<br />

K G<br />

× X 1 + × X 2 ;<br />

τ G<br />

1 K<br />

⎤<br />

E<br />

− × X 2 + × u(<br />

index);<br />

Vd<br />

( index)<br />

− X ( 1)<br />

⎥<br />

τ E τ E<br />

⎦<br />

() ( ) ( ) ;<br />

4. Simulation Results<br />

The performance <strong>of</strong> the FAVR controller is examined through simulation using MATLAB s<strong>of</strong>tware<br />

package developed based on the exciter and generator models <strong>of</strong> fig.5.<br />

It is worth noting that the FAVR here considers only the deviations <strong>of</strong> the terminal voltage for<br />

its set point and the liveliness <strong>of</strong> the control signal. However, during major disturbances the rotor angle<br />

<strong>of</strong> the generator with respect to the infinite busbar <strong>of</strong> the power system is disturbed significantly and<br />

can take sometime to settle down following the event. It is known that conventional AVR (CAVR)<br />

controller can reduce the damping torque <strong>of</strong> the generator if it uses only the terminal voltage as its<br />

feedback signal resulting to reduction <strong>of</strong> damping <strong>of</strong> rotor oscillations. This has to be examined<br />

sufficiently in a later work.<br />

Two set <strong>of</strong> tests are carried out<br />

A. Voltage v Sudden terminal ariation<br />

With this sudden terminal voltage change, four tests were carried out<br />

1. With CAVR, the amplifier transfer function is given by<br />

K A<br />

(22)<br />

1+<br />

τ AS<br />

and K A = 10 , τ A = 0.<br />

1,<br />

K E = 1,<br />

τ E = 0.<br />

4 , KG = 1 , τG<br />

= 0.<br />

1,<br />

K R = 1,<br />

τ R = 0.<br />

05 has<br />

the response shown below.<br />

Figure 6: Terminal voltage step response for CAVR.<br />

2. A stabilizer is connected between the exciter output and the input summer with a<br />

step input signal. The stabilizer transfer function is<br />

2S<br />

(23)<br />

0.<br />

04S<br />

+ 1<br />

(20)<br />

(21)


A Rule-Based Fuzzy Automatic Voltage Regulator for Power System Stability 931<br />

The response is shown below with its time domain specifications<br />

Figure 7: Terminal Voltage step response <strong>of</strong> CAVR with stabilizer<br />

3. A PID is connected in series with the amplifier. The PID parameters are<br />

K P = 10 , K I = 0.<br />

25 and K D = 0.<br />

28<br />

.<br />

Figure 8: Terminal voltage step response with PID controller.<br />

4. With the FAVR <strong>of</strong> fig 4, the response to a step input is shown below with the time<br />

specifications.<br />

Figure 9: (a) Terminal and desired voltage step response with FAVR<br />

(b) Fuzzy input voltage to the generator


932 Samuel N. Ndubisi and Marcel .U. Agu<br />

B. A Three phase fault was applied after 2 seconds and cleared in 4 seconds in fig 4 and<br />

the response <strong>of</strong> the FAVR is recorded below.<br />

Figure 10: (a) Step response <strong>of</strong> FAVR to three phase fault.<br />

(b) Fuzzy input voltage to the generator<br />

5. Conclusion<br />

A proportional integral (PI) type fuzzy regulator for terminal voltage and reactive power control <strong>of</strong><br />

turbo generators is considered in this work. The result shows that the FAVR performance is very high<br />

as compared to convectional AVR. The overshoot, settling time and rise time are highly reduced<br />

during the two tests conducted. The observed set back is on the steady state error which can be cleared<br />

by automatically tuning the gains g0, g1 and g2 to achieve the required result.<br />

6. List <strong>of</strong> Symbols and Abbreviations<br />

Symbols<br />

δ () t power angle <strong>of</strong> the generator, radian.<br />

ω () t rotor speed <strong>of</strong> the generator, radian/s<br />

P mechanical power, p.u.<br />

m<br />

() t<br />

P e active electrical power delivered by the generator, p.u.<br />

E′ q () t transient EMF in the quadratic axis in the generator, p.u.<br />

E f () t equivalent EMF in the excitation coil, p.u.<br />

Vt () t generator terminal voltage, p.u.<br />

V s infinite bus voltage, p.u.<br />

U f output <strong>of</strong> the PI fuzzy controller.<br />

H inertia constant<br />

V error voltage<br />

e<br />

V setpoint or reference voltage<br />

d<br />

V exciter output voltage<br />

f<br />

K E exciter gain<br />

K generator model gain<br />

G<br />

τ E exciter time constant<br />

τ generator time constant<br />

G<br />

g , g , g fuzzy gains<br />

1<br />

2<br />

0


A Rule-Based Fuzzy Automatic Voltage Regulator for Power System Stability 933<br />

Abbreviations<br />

AVR automatic voltage regulator<br />

LFC load frequency control<br />

FLC fuzzy logic controller<br />

FAVR fuzzy automatic voltage regulator<br />

CAVR conventional automatic voltage regulator<br />

SMIB single machine infinite bus<br />

PI proportional and integral controller<br />

PID proportional, integral and derivative controller<br />

Acknowledgement<br />

This work was supported by the Power Holdings Company <strong>of</strong> Nigeria (PHCN), Enugu Distribution<br />

Zone.<br />

References<br />

[1] Hogg B.W, “Representation and control <strong>of</strong> turbo generators in electric power systems,” Chapter<br />

5 in modeling <strong>of</strong> dynamical systems vol 2: PP 112 - 149 1981.<br />

[2] Zadeh L.A “Outline <strong>of</strong> a new approach to the analysis <strong>of</strong> complex systems and decision<br />

processes,” IEEE Trans. on systems, man and cybernetics, Vol 3, no 1, 1973, PP 28 - 44<br />

[3] Hassan M.A.M, Malik O.P and Hope G.S, “A fuzzy logic based stabilizer for a synchronous<br />

machine,” IEEE Trans. on Energy conversion, vol. 6, no 3, 1991 PP 407- 413.<br />

[4] Weng J.Y, Cheng S.J., Malik O.P. “A Synchronous generator fuzzy excitation controller<br />

optimally designed with a genetic algorithm” IEEE Trans on power systems vol 13, no3, PP<br />

884 884 – 889, August 1998.<br />

[5] Hassan A.R, Sadrul Ula A.H.M “Design and implementation <strong>of</strong> a fuzzy controller Based<br />

Automatic Voltage Regulator for a Synchronous Generator.” IEEE Trans. on Energy<br />

conversion, Vol 9, No 3, September 1994.<br />

[6] El-Metwally K.A, and Malik O.P, “Fuzzy logic power system stabilizer.” IEE proceedings on<br />

Generation, Transmission and Distribution Vol 142, no 3, May 1995, PP 277 – 281.<br />

[7] Passion K.M and Yurkovich S. “Fuzzy control” Addison Wesley Longman, Inc 1998<br />

[8] Tsoukalas L.H. and Uhrig R.E “Fuzzy and Neural Approach in Engineering.” John Wiley &<br />

Sons, Inc 1997<br />

[9] Mamdani E.H and Assilian S., “An experiment in linguistic synthesis with a fuzzy logic<br />

controller” International <strong>Journal</strong> <strong>of</strong> man - machine studies, vol 7, 1975, PP 1-13.<br />

[10] Mamdani E.H; “Advances in the linguistic synthesis <strong>of</strong> fuzzy controllers,” International <strong>Journal</strong><br />

<strong>of</strong> man - machine studies, vol 8, 1976, PP 669-678.<br />

[11] Mamdani E.H, Ostergaard J.J and Lambessis E., “Use <strong>of</strong> fuzzy logic for implementing rulebase<br />

control <strong>of</strong> industrial processes” Fuzzy sets and Decision Analysis, North Holland:<br />

Amsterdam, 1984, PP 429-445<br />

[12] Kundur P, “Power system stability and control,” Mc Graw-Hill, Inc NY 1994.<br />

[13] Wang Y, Hill D. J, Middleton R.H and Gao L. “Transient stability Enhancement and voltage<br />

Regulation for power systems,” IEEE Trans on Power systems, vol 8, PP 620-627, 1993<br />

[14] Guo Y., Hill D.J. and Wary Y, “Global Transient stability and voltage Regulation for power<br />

systems” IEEE Transaction on power systems. Vol 16, No 4, PP 678-688, 2001.

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