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146<br />
DECEMBER<br />
2012<br />
DECEMBRE<br />
A Theoretical Approach for the Notional Permeability Factor P<br />
Improving the Competitiveness of the Spanish Port System<br />
by Optimising the Cargo Handling Service<br />
A Simulation Case Study for a Commercial Hub Port Planning in<br />
Particular Reference to Berths Length and Anchorage Capacity<br />
ON COURSE<br />
<strong>PIANC</strong> E-<strong>Magazine</strong><br />
An Analysis of Vessel Behaviour Based on AIS Data<br />
The Locks of the Seine-Scheldt Project:Introducing the Concept of Life Cycle Cost<br />
The New Guidelines for the Design of Water Sports Facilities<br />
Research on Climate Change Impacts on the Transportation System of the European Union<br />
News from the Navigation Community<br />
The World Association for Waterborne Transport Infrastructure<br />
Association Mondiale pour les infrastructures de Transport Maritimes et Fluviales<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
<strong>PIANC</strong>’S PLATINUM PARTNERS<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
<strong>PIANC</strong><br />
ON COURSE<br />
<strong>PIANC</strong> E-<strong>Magazine</strong><br />
146<br />
DECEMBER<br />
2012<br />
DECEMBRE<br />
Responsible Editor / Editeur responsable :<br />
Mr. Louis VAN SCHEL<br />
Boulevard du Roi Albert II 20, B 3<br />
B-1000 Bruxelles<br />
ISBN: 978-2-87223-170-6 EAN: 9782872231706<br />
All copyrights reserved © Tous droits de reproduction réservés<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
TABLE OF CONTENTS<br />
Message of the President<br />
H.D. Jumelet, A Theoretical Approach for the<br />
Notional Permeability Factor P<br />
José Luis Almazan Garate, Pilar Parra Serano,<br />
Improving the Competitiveness of the Spanish Port<br />
System by Optimising the Cargo Handling Service<br />
M. R. A. Khalifa, A Simulation Case Study for a Commercial<br />
Hub Port Planning in Particular<br />
Reference to Berths Length and Anchorage Capacity<br />
T.M. De Boer, W. Daamen, An Analysis of Vessel<br />
Behaviour Based on AIS Data<br />
Ellen Maes, The Locks of the Seine-Scheldt Project:<br />
Introducing the Concept of Life Cycle Cost<br />
Gabriele Peschken, The New Guidelines for the<br />
Design of Water Sports Facilities<br />
Juha Schweighofer, Research on Climate Change<br />
Impacts on the Transportation System of the European<br />
Union<br />
News from the navigation community<br />
E-MAGAZINE N° 146 - 2012<br />
Cover picture:<br />
Chamber of a lock for pleasure craft<br />
Photo de couverture:<br />
Chambre d’écluse pour un bateau de plaisance.<br />
3<br />
4<br />
7<br />
19<br />
33<br />
45<br />
65<br />
73<br />
81<br />
87<br />
TABLE DES MATIERES<br />
Message du Président<br />
H.D. Jumelet, Approche théorique du facteur P<br />
de perméabilité notionnelle<br />
José Luis Almazan Garate, Pilar Parra Serano,<br />
Améliorer la compétitivité du système portuaire<br />
espagnol en optimisant le service<br />
de manutention<br />
M. R. A. Khalifa, Une étude de cas par<br />
simulations pour l’aménagement d’une plate-form<br />
portuaire commerciale avec attention particulière à<br />
la longueur des quais et aux capacités d’ancrage<br />
T.M. De Boer, W. Daamen, Une analyse du<br />
comportement des navires basée sur les<br />
données AIS<br />
Ellen Maes, Les écluses du projet Seine-Escaut:<br />
Introduction du concept de coût du cycle de vie<br />
Gabriele Peschken, Le nouveau guide de<br />
conception des installations de sports nautiques<br />
Juha Schweighofer, Etude des impacts des<br />
changements climatiques sur le système de<br />
transport dans l’Union européenne<br />
Des nouvelles du monde de la navigation<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
MESSAGE OF THE PRESIDENT<br />
Dear colleagues and friends of <strong>PIANC</strong>,<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 4<br />
First of all, on behalf of <strong>PIANC</strong> HQ and management, I wish you and your<br />
loved ones a very happy and successful New Year!<br />
Our Association kept on a very good pace, being very active in the past<br />
months. <strong>PIANC</strong> will continue to increase its infl uence all along the coming year since we strongly believe that<br />
navigation is steadily improving in a sustainable way and that our common networking efforts will prove to be<br />
effi cient and intensive.<br />
First, we had a very exciting time in Chennai, at the end of February for the 8th meeting of the <strong>PIANC</strong>-COPE-<br />
DEC Conference, where the Indian Minister of Shipping, His Excellency Shri Vastan delivered a vast speech<br />
about the expected growth of Indian ports. Stemming from more than 30 different countries, this Conference<br />
was very well organised and managed by Professor Sundar, Head of the Institute of Technology of Madras.<br />
Together with CoCom, this Conference proved that our efforts to spread <strong>PIANC</strong> in new emerging countries<br />
is improving. Just after this Conference, CoCom proposed in its meeting to choose target countries in order<br />
to derive some method to expand our membership. This idea was taken over and worked out in ExCom so<br />
that we are now able to test the proposed method in one particular country, being Colombia, where a specifi c<br />
seminar will be organised before the end of this year.<br />
At the World Water Forum in Marseille, in March, we also had the opportunity to present <strong>PIANC</strong> at an international<br />
large-scale meeting. A <strong>PIANC</strong> side-event took place, where the Honorable Ms Jo-Ellen Darcy,<br />
President of <strong>PIANC</strong> USA, and Mr Yutaka Sunohara, Vice-President and President of <strong>PIANC</strong> Japan were able<br />
to present some of their home countries experience. We also found it useful to strengthen our relation with<br />
CCNR in order to join our forces with this Sister Association, in order to expand partnership and networking<br />
between international river basin authorities, which will yield to a specifi c event at the next <strong>PIANC</strong>-SMART<br />
Rivers Conference 2013 in Liège, Belgium and Maastricht, The Netherlands.<br />
At the end of May, we all have been very strongly impressed by the exceptional sense of organisation and<br />
hospitality, as well as the very high level of professionalism of our Spanish Section. Together with the Port of<br />
Valencia and Puertos del Estado, the AGA and the Second <strong>PIANC</strong> Mediterranean Days of Coastal and Port<br />
Engineering were organised.<br />
Last but not least, we had specifi c new events in the past months in different parts of the world: in November<br />
our Iranian Section hosted the International Conference on Coasts, Ports and Marine Sciences (ICOPMAS),<br />
which proved the vitality of our Iranian Section. Of course, many of us attended the Dredging Days, organised<br />
at the end of October by <strong>PIANC</strong> USA in San Diego or joined the French Conference on Large Sustainable<br />
Waterborne Infrastructure in Paris mid-November.<br />
A census of the largest worldwide waterborne infrastructure projects both at a global level and in each individual<br />
member country was started. Many National Sections replied positively to this census and a database<br />
with the relevant information will be set up. This will give us the opportunity to show to what extent <strong>PIANC</strong><br />
guidelines and recommendations are and were taken into account when designing and realising these projects.<br />
As usual, you will also fi nd very good articles in this e-<strong>Magazine</strong> and I wish you all a very pleasant reading.<br />
Sincerely yours,<br />
Geoffroy Caude,<br />
President of <strong>PIANC</strong>
MESSAGE DU PRéSIDENT<br />
Chers collègues et amis de <strong>PIANC</strong>,<br />
Tout d’abord, de la part du secrétariat général et de la direction de <strong>PIANC</strong>, je souhaite une bonne année à vous<br />
et vos chers!<br />
Notre association n’est pas restée inactive pendant les derniers mois. <strong>PIANC</strong> continuera à augmenter son influence<br />
dans l’année qui suit, étant donné que nous sommes convaincus que la navigation est en train de s’améliorer<br />
toujours plus d’une manière durable et que nos efforts communs de travail en réseau s’avéreront efficaces et intensifs.<br />
Tout d’abord, nous avons passé une semaine intéressante à Chennai à la fin du mois de février lors de la 8ème<br />
conférence <strong>PIANC</strong>-COPEDEC où le ministre indien de la navigation, Son Excellence Shri Vastan a prononcé un<br />
discours très développé relatif à la croissance attendue des ports indiens. Avec la participation effective de plus<br />
de 30 pays différents, cette conférence était très bien organisée par le Professeur Sundar, directeur de l’Institut de<br />
Technologie de Madras. Avec CoCom, cette conférence a montré que nos efforts pour faire connaître <strong>PIANC</strong> dans<br />
de nouveaux pays émergents s’améliorent. Juste après cette conférence, CoCom a proposé lors de sa réunion<br />
de répondre à notre initiative de sélectionner des pays-cibles afin de concevoir une certaine méthode pour faire<br />
croître notre affiliation. Cette idée a été adoptée et élaborée par ExCom, de sorte qu’à l’heure actuelle nous pouvons<br />
tester la méthode proposée par CoCom dans un pays en particulier, celui de la Colombie, où un séminaire<br />
spécifique sera organisé avant la fin de cette année.<br />
Lors du Forum Mondial de l’Eau à Marseille, au mois de mars, nous avons aussi eu l’opportunité de présenter<br />
<strong>PIANC</strong> pendant une réunion internationale à grande échelle. Un événement parallèle était consacré à <strong>PIANC</strong>, où<br />
l’Honorable Madame Jo-Ellen Darcy, président de <strong>PIANC</strong> Etats-Unis et Monsieur Yutaka Sunohara, vice-président<br />
de <strong>PIANC</strong> et président de <strong>PIANC</strong> Japon, avaient l’opportunité de présenter quelques-unes des expériences<br />
de leurs pays respectifs. Il nous paraissait aussi utile de renforcer notre relation avec la Commission Centrale<br />
pour la Navigation sur le Rhin, afin de concentrer nos efforts avec cette association sœur, et de faire grandir notre<br />
coopération et notre fonctionnement en réseau avec des autorités internationales de bassin, ce qui donnera lieu<br />
à un événement spécifique lors de la prochaine conférence <strong>PIANC</strong>-SMART Rivers 2013 organisée à Liège, en<br />
Belgique et à Maastricht, aux Pays-Bas.<br />
A la fin du mois de mai, nous étions tous fort impressionnés par l’organisation et l’hospitalité exceptionnelles, ainsi<br />
que par le niveau très haut de professionnalisme de notre section espagnole. Avec le Port de Valence et Puertos<br />
del Estado elle a organisé l’AGA et la 2ème édition des Journées Méditerranéennes d’Ingénierie Côtière et Portuaire<br />
de <strong>PIANC</strong>.<br />
Finalement, de nouveaux événements spécifiques ont eu lieu dans de différentes parties du monde: en novembre,<br />
notre section iranienne organisait la Conférence sur les Sciences Côtières, Portuaires et Marines (ICOPMAS), ce<br />
qui a montré la vitalité de notre section iranienne. Bien sûr, beaucoup d’entre nous avons assisté aux Journées<br />
de Dragage, organisées à la fin du mois d’octobre par <strong>PIANC</strong> Etats-Unis à San Diego ou avons été présents à la<br />
Conférence française sur les Grands Aménagements Hydrauliques à Paris mi-novembre.<br />
Un inventaire des projets d’infrastructure mondiaux les plus importants, tant sur le plan mondial que dans chaque<br />
pays membre individuel, a démarré. Beaucoup de sections nationales ont réagi de manière positive à cet inventaire<br />
et une base de données avec de l’information pertinente sera établie. Ceci nous montrera jusqu’à quel point<br />
les directives et les recommandations de <strong>PIANC</strong> sont et ont été prises en considération lors de la conception et<br />
la réalisation de ces projets.<br />
Comme d’habitude, vous trouverez de bons articles dans ce magazine électronique et je vous en souhaite une<br />
agréable lecture.<br />
Bien à vous,<br />
Geoffroy Caude,<br />
Président de <strong>PIANC</strong><br />
5<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 6
WINNING ARTICLE OF THE <strong>PIANC</strong> DPWA 2012<br />
A THEORETICAL APPROACH<br />
FOR THE NOTIONAL PERMEABILITY FACTOR P<br />
KEY WORDS<br />
notional permeability, run-up reduction coeffi cient<br />
and volume exchange model<br />
MOTS-CLEFS<br />
perméabilité notionnelle, coeffi cient de réduction<br />
du run-up et modèle d’échange de volumes<br />
1. INTRODUCTION<br />
The interaction of a wave with rubble mound<br />
breakwater results in a complex fl ow, which is both<br />
nonlinear and turbulent, which results in a complex<br />
process. It is in present time not possible to<br />
give an accurate description of the wave-structure<br />
interac-tion during this complex process of wave<br />
dissipation. Therefore, the design of such structures<br />
is often based on empirical relationships,<br />
scale tests in research laboratories and a synthesis<br />
of knowledge from different disciplines.<br />
for plunging waves (1.1)<br />
for surging waves (1.2)<br />
Besides the signifi cant wave height (H s ), damage<br />
level (S), relative mass density (Δ), Iribarren num-<br />
7<br />
by<br />
Eng. H.D. JUMELET<br />
De Vries & van de Wiel Kust- en Oeverwerken,<br />
Schiedam<br />
The Netherlands,<br />
E-mail: Jumelet.Daan@vw-deme.nl<br />
ber (x), number of waves (N) and the slope steepness<br />
(α), the stability is strongly related to the<br />
notional permeability factor (P). The value of this<br />
factor is based on curve fi tting results of the test<br />
program of Van der Meer (1988). This test program<br />
includes three structure types. For that reason,<br />
the notional permeability is only defi ned for<br />
three structure types, a fourth (P=0.4) has been<br />
assumed. The notional permeability coeffi cient<br />
has no physical meaning, but was introduced to<br />
ensure that the permeability of the structure is<br />
taken into account.<br />
Fig.1.1: Notional permeability P according<br />
to Van der Meer (1988)<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Caused by the absence of a physical description<br />
it is not possible to determine the notional permeability<br />
factor for different types of structure. In<br />
practice this leads to ambiguities in determination<br />
of the value of this factor, this results in an overdesigned<br />
size of the D n50 . Figure 1.2 shows the influence<br />
of this factor on the D n50 of the armour layer.<br />
Fig.1.2: Example of the influence of notional<br />
permeability factor P on the D n50 for plunging and surging<br />
waves<br />
By means of these considerations it is clear that<br />
the influence of the core permeability on armour<br />
layer stability is of both academic and practical<br />
importance. The aim of this study is to investigate<br />
whether more physical background can be given<br />
to the influence of core permeability on the armour<br />
layer stability. A more physical background in this<br />
field can result in a more precise choice of the notional<br />
permeability coefficient P in the calculation<br />
of the breakwater design. Since the permeability<br />
of the structure primarily affects the physical process<br />
in the case when the wave does not break,<br />
this study only considered surging waves.<br />
2. BACKGROUND LITERATURE<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
2.1 General<br />
In the past Van der Meer (1988) has tried to give<br />
the notional permeability coefficient a physical<br />
background using the model HADEER. This<br />
model can calculate the discharge dissipation in<br />
the core. With the use of the ODIFLOCS-model<br />
of Van Gent (1995) the same principle predictions<br />
are also tried by De Heij (2001). He considered<br />
the discharge, extreme velocities and U 2% . However,<br />
these methods are not very accurate.<br />
8<br />
This study has the aim to develop a practical application<br />
for determining the notional permeability.<br />
Therefore, not only numerical approaches are<br />
considered, but also analytical options have been<br />
investigated. For developing a notional permeability<br />
approach it is necessary to have insight in<br />
the wave-structure interaction process. With a description<br />
of this process it is possible to determine<br />
the influence of core permeability on the external<br />
process.<br />
Earlier studies have shown that a detailed description<br />
of the full wave-structure interaction is<br />
complex. For that reason, the full wave-structure<br />
interaction is divided into two separate processes.<br />
The first process can be described as the external<br />
water flow in and on the armour layer that is influenced<br />
by the presence of the structure. The other<br />
process is defined as the internal water movement.<br />
The internal water movement, in this study,<br />
is defined as the water movement that takes place<br />
in the construction (filter and core) for an imposed<br />
external water movement. In the next two paragraphs<br />
these two processes will be discussed. At<br />
first both processes are considered to be independent<br />
of each other, meaning an impermeable<br />
structure slope has been assumed. The last paragraph<br />
of this chapter describes some methods to<br />
couple both processes. Moreover, a model has<br />
been chosen which will be elaborated further. This<br />
choice depends mainly on whether the model can<br />
be developed analytically.<br />
2.2 External Process<br />
The external process can be described in several<br />
ways. The first way is a velocity description of the<br />
wave on the structure slope. Analytical approaches<br />
are the method of Hughes et al. (1995) and the<br />
energy balance by Van der Meer (1990). These<br />
approaches are very conservative and therefore<br />
not useful. In the last decades a lot of numerical<br />
velocity approaches have been introduced. These<br />
models are based on the shallow water equations,<br />
Boussinesq equations or the Navier Stokes equations.<br />
Disadvantage of these models is the time it<br />
takes time to develop a useful and accurate operational<br />
model.<br />
Another way to describe the external process is<br />
a description of the water elevation. This description<br />
can be used as a volume change approach
instead of the velocity approach mentioned above.<br />
An analytical method based on the solution of the<br />
classical shallow water equations is given in Carrier<br />
and Greenspan (1958). A nonlinear solution<br />
for the classical shallow water equations, which<br />
describes the wave characteristics on a slope, is<br />
obtained by Li (2000). Another external wedge<br />
approach is introduced by Hughes (2004). This<br />
method assumes a triangular wave run-up and the<br />
run-up area can be calculated with the following<br />
equation:<br />
Area (2.1)<br />
The only unknown variable in this method is the<br />
angle q. This variable is the angle between still<br />
water level and run-up water surface (which is assumed<br />
to be a straight line).<br />
Fig. 2.1: Triangular wedge approach based on the<br />
theory of Hughes (2004)<br />
The last way to describe the external process is by<br />
using an energy consideration. This can be done<br />
by separating the energy of the incoming wave in<br />
case of a wave-structure interaction in two different<br />
components: (1) dissipation on the slope, and<br />
(2) the residual wave energy (reflective wave). The<br />
total energy of a wave can be expressed as sum<br />
of the kinetic energy density E k and the potential<br />
energy density E p :<br />
(2.2)<br />
With help of a reflective wave approach the energy<br />
dissipation on the slope can be calculated.<br />
2.3 Internal Process<br />
Due to the complexity of the internal process it<br />
is difficult to give an accurate description of this<br />
process. A straightforward way is to describe the<br />
water flow through a porous medium. It has been<br />
assumed that the flow in the structures, studied<br />
in this research, is a ‘fully’ turbulent or a ‘Forchheimer’<br />
flow. Therefore, Darcy is not valid. The<br />
gradient (or the resistance over covered length)<br />
of this water flow through a porous medium of<br />
coarse granular material can be reasonable well<br />
expressed by a term that is linear with the flow<br />
velocity (a • u) and a term that is quadratic with<br />
the flow velocity (b • IuIu) . Where and are both<br />
dimensional coefficients. Such a relation was proposed<br />
by Forchheimer (1901).<br />
9<br />
(2.3)<br />
Van Gent (1995): “The first term can be seen as<br />
the laminar contribution and the second term can<br />
be seen as the contribution of turbulence. For<br />
turbulent porous media flow, and in the transition<br />
between laminar and turbulent flow, this equation<br />
can be used.” The friction coefficients a (s/m) and<br />
b (s 2 /m 2 ) are dimensional and contain several parameters.<br />
Laminar term: (2.4)<br />
Turbulent term: (2.5)<br />
The Forchheimer equation (Eq. 2.3) is valid for a<br />
stationary flow. However, the porous flow in the<br />
core of a rubble breakwater is usually not permanent,<br />
as a result of the dynamic wave effect. The<br />
water flow speeds up and slows down in alternating<br />
directions within a full wave period. In the case<br />
of non-continuous flow in a grainy porous medium<br />
the inertia must be taken into account. Therefore,<br />
Polub-arinova-Kochina (1952) (from Van Gent<br />
(1995)) added a time-dependent term. This type<br />
of formula for unsteady porous flow is referred to<br />
as the extended Forchheimer equation:<br />
(2.6)<br />
Where c is the inertia term (m 2 /s), which takes the<br />
added mass into account. The expression for the<br />
inertia term is:<br />
Inertia term: (2.7)<br />
According to the results in the study of Van Gent<br />
(1995), the influence of the turbulent term is the<br />
highest and is in the order of 90 %.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
2.4 Coupling of the Internal and<br />
External Process<br />
The possibilities to describe the internal process<br />
accurately are limited; therefore, the way of coupling<br />
is determined by the internal process. The<br />
previous sections clearly indicate that a link between<br />
the two processes can be realised in two<br />
ways. The first way is to link an internal and external<br />
velocity approach. The second way is to<br />
couple the internal and external water elevation<br />
by using a volume exchange princi-ple.<br />
An analytical way to couple the external and internal<br />
velocity approach is in present time not available.<br />
In order to link the external and internal velocity<br />
approaches, a numerical model is needed.<br />
Considering the practical design formulae by Van<br />
der Meer (1988) a numerical modification is not<br />
the ideal solution. Also, a few recently released<br />
articles show the work intensiveness and their disadvantages.<br />
Therefore, this research tries to find<br />
an analytical way. For review of numerical modelling<br />
before the year 1992 is referred to the paper<br />
of Hall and Hettiarachchi (1992). The latest review<br />
is given by Lin (2008). In this book a reference is<br />
made to numerous widely used packages.<br />
With this consideration only a volume exchange<br />
approach, by coupling the internal and external<br />
water elevation, remains. The analytical approach<br />
of Hughes (2004) can be used as an external water<br />
description. With the use of a similar internal<br />
water level fluctuations model, the internal and external<br />
waterline can be coupled. The main problem<br />
is that the method of Hughes (2004) still contains<br />
an unknown variable (angle θ). The next chapter<br />
deals with this problem and gives a derivation of<br />
the coupling between the external and internal<br />
water level fluctuations.<br />
3. ANALYTICAL MODEL<br />
3.1 Deriving a Run-Up Volume Approach<br />
This model used the principle of a triangular wave<br />
run-up shape introduced by Hughes (2004). As<br />
mentioned before in the theory of Hughes (2004)<br />
an un-known variable (angle θ between still water<br />
level and run-up water surface) is included,<br />
thus this description is not directly applicable. A<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
10<br />
more complete description is achieved by linking<br />
the run-up wedge approach of Hughes (2004) to<br />
the wave kinematics in front of the structure. The<br />
basic principle behind the ‘new’ run-up volume<br />
description is that the incoming ‘sinus’ wave crest<br />
has the same volume as the run-up volume. If the<br />
incoming wave is assumed as a sine wave, the<br />
crest volume (half of the wave length) can then be<br />
described as follows (see Figure 3.1):<br />
(3.1)<br />
With a triangular wedge approach the total wave<br />
run-up volume can be expressed as:<br />
(3.2)<br />
In this approach it is assumed that no energy losses<br />
due to bottom friction (foreshore and structure<br />
slope) and viscous effects on the free surface will<br />
occur. With this assumption it can be stated that<br />
the energy of the incoming wave crest is equal to<br />
the total energy of the run-up volume. In the previous<br />
chapter is given that the total wave energy<br />
density of an incident wave can be expressed as<br />
sum of the kinetic energy density E k and the potential<br />
energy density E p . For a half wavelength,<br />
the expression of the total energy is:<br />
(3.3)<br />
When the wave reaches the maximum run-up position,<br />
the potential energy reaches a maximum.<br />
The kinetic energy at this position is very small.<br />
This small amount of energy may be associated<br />
with the mild reflected wave from the slope or the<br />
small and negligible water particle velocity associated<br />
with the run-up tongue. This small amount of<br />
kinetic energy will be neglected here. With these<br />
assumptions the energy of the wave run-up triangle<br />
is:<br />
(3.4)<br />
Using the equations and assumption from above<br />
the unknown d and R u can be calculated, which<br />
leads to the following expressions:<br />
(3.5)<br />
(3.6)
Fig. 3.1: Schematisation of the wave run-up model<br />
for a frictionless slope<br />
With the use of these equations the run-up volume<br />
(eq. 3.2) can now be expressed as:<br />
(3.2)<br />
According to this theory the run-up for non-breaking<br />
waves is only related to the wave height.<br />
This theory is confirmed by the following quote<br />
of Hughes (2004): “Run-up data for non-breaking<br />
waves that surge up steeper slopes does not correlate<br />
as well to the Iribarren number, and instead<br />
run-up appears in this case to be directly related<br />
to wave height.”<br />
Reliability test<br />
The assumption that the run-up volume has a triangular<br />
shape will lead to an underestimation of<br />
the actual run-up in case of non-breaking waves<br />
because non-breaking waves will have more<br />
concave shaped sea surface elevation (see also<br />
Hughes (2004)). However, it is expected that the<br />
simplifications used in the ‘new’ run-up wedge<br />
approach are not very unrealistic. By testing the<br />
reliability an indication of the inaccuracy can be<br />
given. This is done by comparing this approach<br />
with the run-up approach described in the CUR/<br />
CIRIA (2007). However, it should be remembered<br />
that also this approach is based on a simplification<br />
of the reality. This approach can be expressed as:<br />
(3.7)<br />
For this reliability test the coefficients of Allsop et<br />
al. (1985), described in the CUR/CIRIA (2007),<br />
are used (which do not include safety margins): A<br />
= -0.21 and B = 3.39. In this example the Iribarren<br />
breaker parameter is between 3.5 and 6 and the<br />
significante wave height H s is 5. This leads to the<br />
following results:<br />
11<br />
Run-up according to Allsop et al. (1985):<br />
Run-up according to the ‘new’ run-up wedge approach:<br />
Without drawing conclusions, this comparison<br />
does show that the run-up using the ‘new’ run-up<br />
wedge approach gives a realistic value. It can be<br />
concluded that this external volume approach is<br />
a realistic basis for the exchange volume model,<br />
described in the next section.<br />
3.2 Deriving the Volume Exchange Model<br />
In this study the permeability of the structure is expressed<br />
as a reduction of the external wave run-up<br />
volume. This reduction is caused by the inflowing<br />
water volume V b that prevails during the maximum<br />
wave run-up. The volumes of water in and on the<br />
structure can be divided into three volumes: the<br />
run-up volume V Ru , the reduced run-up volume<br />
V Ru,r and the volume in the body of the structure<br />
V b . In formula form this is:<br />
(3.8)<br />
With the assumption that the internal water volume<br />
has also a triangular shape, the total internal<br />
water volume for a smooth vertical transition can<br />
be calculated with the following formula (see figure<br />
3.2), where n is the porosity:<br />
(3.9)<br />
Fig. 3.2: Schematisation of the volume inflow for a<br />
homogeneous structure<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Initially, the slope roughness is not included. This<br />
term can easily be taken into account, by multiplying<br />
the run-up (R u ) with a roughness reduction<br />
factor. In this study this friction factor has an<br />
assumed value of 0.75; this value is based on<br />
Van der Meer (2002). Further research should be<br />
done to be able to express the porosity and roughness<br />
separately. The reduced run-up due to slope<br />
roughness can be described as follows:<br />
(3.10)<br />
Also for determination of the run-up volume (3.2)<br />
and the reduced run-up volume (3.8) this friction<br />
factor should be included. This leads to the following<br />
equations:<br />
(3.11)<br />
(3.12)<br />
The only unknown variable in the exchange volume<br />
method (Eq. 3.12) is the internal water level<br />
gradient (I) required for calculating the body volume<br />
V b . A determination of this gradient will be<br />
described in the next section.<br />
3.3 Internal Water Level Gradient<br />
for a Vertical Transition<br />
In this study the internal water volume is determined,<br />
for a given maximum wave run-up, on the<br />
basis of a previously estimated internal water gradient.<br />
With a previously estimated gradient the<br />
(internal) velocity in a porous medium can be determined.<br />
Initially, only the turbulent term (b • IuIu)<br />
is taken into account. The turbulent friction term b<br />
can be expressed with Eq. 2.5. As already mentioned<br />
the influence of the tur-bulent term is in the<br />
order of 90 %. It is also assumed that the porosity<br />
has one value only (core and filter layer(s)). In<br />
a later case these two assumptions can still be<br />
refined. The volume inflow (in the same period)<br />
should be equal to the water volume that the gradient<br />
‘prescribes’. If this is not the case, the gradient<br />
should be modified until both volumes are the<br />
same (iteration).<br />
When only the turbulent term is taken into account,<br />
the flow velocity in the porous medium can<br />
be expressed as the relation between the water<br />
level gradient and turbulent term:<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 12<br />
(3.13)<br />
For determining the volume inflow a sinusoidal<br />
wave run-up is considered with a maximum wave<br />
run-up height in a time span of one quarter of the<br />
wave period (g inf = 0,25). This time span is based<br />
on test results of Muttray (2001). The period represents<br />
the up-rush time of the wave run-up from<br />
SWL till the maximum wave run-up height. The<br />
volume inflow for a rough sloped transition can<br />
now be expressed as:<br />
(3.14)<br />
To determine the occurring water level gradient<br />
(I), the volume inflow should be equal to the water<br />
vol-ume that the gradient prescribed. Therefore,<br />
the following equation must be satisfied.<br />
(3.15)<br />
3.4 Internal Water Level Gradient for a<br />
Sloped and Multi-Layered Transition<br />
For a sloped transition, the volume inflow remains<br />
in principal the same. However, for a sloped<br />
transition the waterline hangs under the sloped<br />
transition, wherefore the water inflow is limited.<br />
In such case it is difficult to determine the water<br />
inflow, because the water flow is not exactly horizontal<br />
(landwards) but mainly downwards. Van<br />
Gent (1994): “The downward vertical velocity of<br />
the phreatic surface has a maximum. This is the<br />
result of the equilibrium of gravity and friction. If<br />
this maximum would be exceeded, the gradient<br />
in the pressures would be larger than one. This<br />
means that the water would flow quicker than the<br />
free seepage velocity which is not possible.” The<br />
maximum gradient for the vertical velocity is one.<br />
A non-horizontal inflow means that the flow velocities<br />
cannot be calculated on the same principle as<br />
for a vertical transition (Eq. 3.15): the water level<br />
gradients should be limited to a maximum value<br />
corresponding to the geometric properties of the<br />
structure (slope angle α, porosity and D n50 ). If the<br />
gradient from the water level iteration surpasses<br />
this maximum predefined gradient value, then this<br />
maximum value should be used in the calculation
of the volume inflow. The gradient iteration for a<br />
rough sloped transition can be expressed similarly<br />
as for a vertical transition but with a different distance:<br />
(3.16)<br />
For a homogeneous structure it is assumed that<br />
the above method works well. However, in case of<br />
a layered structure, this method is no longer applicable<br />
as the water levels in the different layers will<br />
be subject to phase differences. By assuming the<br />
predefined maximum gradient is the same as the<br />
maximum gradient for vertical velocity (I ≤ 1), the<br />
inflowing body volume for a layered structure can<br />
be determined. The imposed run-up in the core is<br />
assumed to be 50 % of the maximum external runup<br />
(g Ru = 0,5 ). This assumption is based on Muttray<br />
(2001), in which it is assumed that the seaward<br />
gradient is not affected by the landward gradient.<br />
For an illustration of this volume exchange model<br />
see figure 4.3.<br />
Fig. 3.3: Schematisation of the volume inflow for a<br />
double layered sloped structure<br />
Note: The body volume consists only of the water<br />
volume in filter and core, because the notional<br />
permeability coefficient reflects the influence of<br />
the core (and filter) permeability and not the permeability<br />
of the complete structure.<br />
3.5 Determination of the Run-Up Reduction<br />
Fac-tor<br />
With an iteration of the internal water level gradient<br />
it is possible to calculate the total internal<br />
water volume for an imposed wave run-up. It is<br />
assumed that the wave run-up triangle for permeable<br />
structure slopes is proportional to the wave<br />
run-up triangle for impermeable slopes. The re-<br />
duced run-up is then the volume ratio of the two<br />
run-up wedges multiplied by the run-up for a rough<br />
impermeable slope:<br />
13<br />
(3.17)<br />
However, this reduced volume (V Ru,r ) will be smaller<br />
in reality, because the incoming volume is determined<br />
for a run-up height with only a reduction<br />
for the slope friction. In reality, inflow will only take<br />
place over a run-up height that is reduced by friction<br />
and permeability. By a new iteration of the water<br />
level gradient (Eq. 3.15) using the corrected<br />
R u,r instead of the original R u,f (Eq. 3.16), the inflowing<br />
volume is determined for a reduced run-up<br />
with slope friction and permeability included.<br />
By introducing the so-called run-up reduction factor<br />
the influence of the structure permeability on<br />
the external run-up process is given. This reduction<br />
factor is the relation between the run-up according<br />
to the ‘new’ run-up wedge approach and<br />
the reduced run-up according to the exchange<br />
volume approach. The run-up reduction coefficient<br />
can be expressed as:<br />
(3.18)<br />
4. DETERMINING THE INFLUENCE<br />
OF THE CORE PERMEABILITY<br />
WITH THE EXCHANGE<br />
VOLUME MODEL<br />
4.1 General<br />
With the exchange volume model a description of<br />
the influence of the permeability on the run-up process<br />
can be given. This run-up process is strongly<br />
correlated to the destabilisation process of the<br />
armour units. As already mentioned this stabilisation<br />
process is empirical expressed in the stability<br />
formulae of Van der Meer (1988). With the correlation<br />
it is possible to use the volume exchange<br />
model for a determination of the notional permeability<br />
factor. It should be noted that the notional<br />
permeability coefficient does not describe the permeability<br />
of the structure, but expresses the correlation<br />
of the permeability of the structure with the<br />
stability of the armour layer units.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
A link between the exchange volume model and<br />
the notional permeability coefficient is achieved<br />
by determining for all four notional permeability<br />
factors the run-up reduction factor. Sensitivities in<br />
this provision are the value of the turbulent friction<br />
term (b) and thus the porosity (n), D n50 and the<br />
shape factor of the granular medium (β) for determining<br />
the internal water level gradient.<br />
To couple the exchange volume model with the<br />
notional permeability coefficient P correctly it is<br />
important to use the normative variables on basis<br />
of the tested variables by Van der Meer (1988).<br />
The ratios between the layers for different structures<br />
are given in Figure 1.1, in which the notional<br />
permeability is defined.<br />
Table 1: Filter laws, grading values and porosity<br />
values of the four defined layer composition<br />
by Van der Meer (1988)<br />
Note: The porosity values (blue) are based on values<br />
of prototype breakwater in Zeebrugge (reference<br />
Troch (2000)), the grading values (red) are<br />
assumed values and the other values (black) are<br />
taken from the tested structures by Van der Meer<br />
(1988).<br />
The porosity of the concerned layers is based on<br />
a prototype breakwater built in Zeebrugge (reference<br />
Troch (2000)). The grading values for the<br />
tested structures are given in Van der Meer (1988).<br />
For the non-tested structure type (P=0.4) an assumption<br />
is made for the grading values. Since<br />
this structure type is a typical practical example,<br />
were the core is mostly built of quarry run, a large<br />
grading is selected. This results in a low porosity.<br />
Table 1 shows an overview of the concerning<br />
values.<br />
By assuming a fixed shape factor of β = 3.6 and<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
14<br />
the above values it is possible to determine for<br />
each in-dividual layer the turbulent friction term b<br />
by using Eq. 2.5. Using an iteration of the internal<br />
water level gradient the volume inflow and thus<br />
the run-up reduction coefficient for the four structure<br />
types can be calculated. First, this is done for<br />
a vertical transition.<br />
Note: In reality, the turbulent friction term is not<br />
fixed and should in principle be treated as instantaneous<br />
values, see Van Gent (1993).<br />
4.2 Example Calculation<br />
The run-up volume V ru can be calculated with<br />
Equation 3.2. The internal water level gradients<br />
for each layer can be iterated with Equation 3.15.<br />
The water level gradient depends on the imposed<br />
water level and geometric properties of each layer<br />
(porosity and D n50 ). With the use of the calculated<br />
water level gradients the body volume can be calculated<br />
and therewith the reduced run-up volume<br />
(Eq. 3.12). With the reduced run-up volume the reduced<br />
run-up and run-up reduction coefficient can<br />
be calculated (resp. Eq. 3.16 and Eq. 3.23).<br />
With these equations and the geometric properties<br />
in Table 1 the volume exchange model can<br />
be applied for the defined ‘notional permeability<br />
structures’. This is done by calculating for a given<br />
wave steepness s the run-up reduction coefficient<br />
for each structure type.<br />
Table 4.1: Values of for values of P and various<br />
waves conditions [Jumelet, 2010]<br />
Regression analyses [Verhagen et al., 2011] shows<br />
the following relationship:<br />
(4.1)<br />
Note: The body volume consists only of the water<br />
volume in filter and core, because the notional
permeability coefficient reflects the influence of<br />
the core (and filter) permeability and not the permeability<br />
of the complete structure.<br />
In Vilaplana (2010) is shown that a fit factor β of<br />
4.2 in the friction coefficient b, see equation 2.5,<br />
lead on average to a good relation between the<br />
suggested values of Van der Meer (1988). See<br />
figure 4.2.<br />
Fig. 4.1: Computed values of P with eq. 9 compared<br />
with the suggested value of P for this condition by<br />
Van der Meer (P=0.5) for a variation coefficient β = 4.2.<br />
5. FURTHER RESEARCH<br />
After the introduction of the volume exchange<br />
model by Jumelet (2010), further research is done<br />
to improve the model.<br />
Weak points in the VE-model of Jumelet (2010)<br />
are the assumptions regarding the value of γ f and<br />
γ Ru . Therefore, further research has been carried<br />
out in order to separate the influence of friction and<br />
infiltration on the total run-up on a breakwater.<br />
From the test results in Van Broekhoven (2011)<br />
followed that the reduction factor γRu was a function<br />
of the Iribarren number:<br />
(5.1)<br />
The tests also showed that the infiltration period<br />
is somewhat shorter than assumed in eq. (3.14).<br />
The experiments showed that:<br />
γ inf ≈ 0.15.<br />
In the test results of Van Broekhoven (2011) also<br />
a difference was observed between the calculated<br />
run-up at the core and the observed run-up at<br />
the core. Therefore, an empirical correction factor<br />
was introduced:<br />
15<br />
(5.2)<br />
The reduced core run-up in the adjusted volume<br />
exchange model is now given by:<br />
The run-up reduction coefficient becomes:<br />
(5.3)<br />
(5.4)<br />
To calculated V Ru,c equation (3.11) can be used,<br />
using R u,c instead of R u,f . The imposed run-up at<br />
the breakwater core can be calculated with the following<br />
equation:<br />
(5.5)<br />
On the basis of these improvements of the VEmodel,<br />
Verhagen et al. (2011) introduces by using<br />
regression analysis the following relationship:<br />
(5.6)<br />
6. CONCLUSION<br />
From this research follows that the volume exchange<br />
model can be used to provide a physical<br />
background of the notional permeability coefficient,<br />
contributing to a more accurate value determination<br />
of this coefficient. By using equation<br />
(5.6) the notional permeability factor can be calculated<br />
for structures that are not defined by Van<br />
der Meer (1988).<br />
The actual used values for the existing notional<br />
permeability coefficient P are questionable and<br />
therefore in this study it is pretended that the exchange<br />
model currently can be used as a physical<br />
background of the notional permeability coefficient,<br />
but eventually must lead to a separate<br />
permeability description.<br />
Furthermore, the description of the notional permeability<br />
values (Figure 1.1) implies that the<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
permeability of the structure depends only on the<br />
geometric properties of the breakwater. This study<br />
shows that the permeability of the structure also<br />
depends on the hydraulic parameters (Hs and<br />
T0). This explains also the dual permeability notation<br />
in the stability formula of Van der Meer (1988)<br />
for surging waves.<br />
7. REFERENCES<br />
Carrier, G.F. and Greenspan, H.P. (1958): “Water<br />
waves on finite amplitude on a sloping beach”,<br />
Journal of Fluid Mechanics, Vol.4, 97-109, Pierre<br />
Hall, Harvard University.<br />
CIRIA, CUR, CETMEF (2007): “The rock manual,<br />
The use of rock in hydraulic engineering”, C683<br />
CIRIA, London.<br />
Hall, K.R. and Hettiarachchi, S. (1992): “Mathematical<br />
modeling of interaction with rubble mound<br />
breakwaters, Coastal structures and breakwaters”,<br />
Thomas Telford, London, pp.123-147.<br />
Heij, J. de (2001): “The influence of structural<br />
permeability on armour stability of rubble mound<br />
breakwaters”, MSc-thesis, Delft University of<br />
Tech-nology, Delft, The Netherlands.<br />
Hughes, S.A. and Fowler, J.E. (1995): “Estimating<br />
wave-induced kinematics at sloping structures”, J.<br />
of Waterway, Port, Coastal and Ocean Engineering,<br />
ASCE, vol. 121, no. 4, p. 209-215.<br />
Li, Y. (2000): “Tsunamis: non-breaking and breaking<br />
solitary wave run-up”, Q Report No. KH-R-60-<br />
,W. M. Keck Laboratory of Hydraulics and Water<br />
Resources, California Institute of Technology,<br />
Pasadena, Cali-fornia.<br />
Lin, P. (2008): “Numerical modeling of water<br />
waves”, London, England.<br />
Muttray, M. (2000): “Wellenbewegung in einem<br />
geschütteten Wellenbrecher“, Ph.D.-Thesis, Technical<br />
University Braunschweig, Braunschweig,<br />
Germany.<br />
Troch, P. (2000): “Experimentele studie en numerieke<br />
modellering van golfinteractie met stortsteen-golfbrekers”,<br />
Proefschrift, Gent University,<br />
Gent, Belgium.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
16<br />
Van der Meer, J.W. (1988): “Rock slopes and gravel<br />
beaches under Wave attack”, Ph.D.-Thesis, Delft<br />
University of Technology, Delft, The Netherlands.<br />
Van der Meer, J.W. (1990): “Measurement and<br />
computation of wave induced velocities on smooth<br />
slope”, proceedings 22nd ICCE, Delft, p. 191-204.<br />
Van der Meer, J.W. (2002): “Invloedsfactoren voor<br />
de ruwheid van toplagen bij golfoploop en overslag”,<br />
bijlage bij het Technisch Rapport Golfoploop<br />
en Golfoverslag bij dijken, Rijkswaterstaat, Dienst<br />
Weg- en Waterbouwkunde, publicatienummer<br />
DWW-2002-112.<br />
Van Gent, M.R.A. (1993): “Stationary And Oscillatory<br />
Flow Through Coarse Porous Media”,<br />
Communications on hydraulic and geotechnical<br />
engineering, Report No. 93-9. Delft University of<br />
Technology, Delft.<br />
Van Gent, M.R.A., Tönjes, P., Petit, H.A.H. and<br />
Van den Bosch, P. (1994): “Wave action on and<br />
in permeable coastal structures”. In: Proceedings<br />
24th International Conference on Coastal Engineering,<br />
Kobe, Japan, Vol.2, pp.1739-1753.<br />
Van Gent, M.R.A. (1995): “Wave interaction with<br />
permeable coastal structures”, Ph.D.-Thesis TU<br />
Delft, Nederland. ISBN 90-407-1182-8.<br />
Van Broekhoven, P.J.M. (2011): “The influence of<br />
armour layer and core permeability on the wave runup”,<br />
MSc thesis, Delft University of Technology.<br />
Verhagen, H.J., Jumelet, H.D., Vilaplana Domingo,<br />
A.M. and Van Broekhoven, P.J.M. (2011): “Method<br />
to quantify the notional permeability”.<br />
Vilaplana Domingo, A.M. (2010): “Evaluation of<br />
the volume-exchange model with Van der Meer laboratory<br />
test results”, Additonal MSc thesis, Delft<br />
University of Technology.<br />
8. NOTATION<br />
a 1. Amplitude of incident regular wave [m]<br />
2. Porous friction coefficient in the<br />
Forchheimer equation [s/m]<br />
A Fitting coefficients in the run-up formula [-]
Turbulent friction coefficients in the<br />
Forchheimer equation [s 2 /m 2 ]<br />
B Fitting coefficients in the run-up formula [-]<br />
c Dimensionless friction coefficients in<br />
the Forchheimer equation [m 2 /s]<br />
C r Run-up reduction coefficient (R u,r /R u,f ) [-]<br />
C rg Run-up reduction coefficient (R u,c /R u,imp ) [-]<br />
d Base of the run-up triangle [m]<br />
E i Energy of the incoming wave [J]<br />
E k Kinetic energy [J]<br />
E p Potential energy [J]<br />
g Gravitational acceleration [m/s 2 ]<br />
H s Significant wave height, H s = H 1/3<br />
[m]<br />
I Hydraulic gradient [-]<br />
k Wave number, k = 2π/L [m-1]<br />
L 0 Deep water wave length, L 0 = gT 2 /2π [m]<br />
N Number of waves in the Van der Meer<br />
formula [-]<br />
P Notional permeability factor [-]<br />
R u Run-up level, relative to SWL [m]<br />
R u,imp Imposed run-up at the breakwater core,<br />
relative to SWL [m]<br />
R u2% run-up, run-up level exceeded by only<br />
2 % of run-up tongues [m]<br />
s 1. Slope(gradient), 1/tana [-]<br />
2. Wave steepness, s = H/L [-]<br />
S Damage level in the Van der Meer formula [-]<br />
T Wave period [s]<br />
U 2% Average of the highest or lowest 2 % of<br />
velocities on the slope [s]<br />
17<br />
V i Volume that flows into the structure [m 3 ]<br />
V Rd Volume of the run-down [m 3 ]<br />
V Ru Volume of the run-up [m 3 ]<br />
W ABC Weight of water per unit crest width in area<br />
ABC []<br />
a 1. Angle of slope of breakwater [°]<br />
2. Shape factor in the friction coefficient a<br />
in the Forchheimer equation [-]<br />
b Shape factor in the friction coefficient b<br />
in the Forchheimer equation [-]<br />
g Shape factor in the friction coefficient c<br />
in the Forchheimer equation [-]<br />
g cr correction factor for observed/calculated<br />
run-up at the core [-]<br />
g f Run-up reduction coefficient (R u,c /R u,s ) [-]<br />
g inf Reduction for the time the water is infiltrating<br />
into the core [-]<br />
g ru Run-up reduction coefficient for infiltration<br />
(R u,c /R u,f ) [-]<br />
q Unknown angle between still water level and<br />
run-up water surface [°]<br />
x Iribarren number [-]<br />
w Angular frequency (2π/T) [s -1 ]<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
This article describes a theoretical approach for<br />
a physical description of the notional permeability<br />
factor P in the stability formulas of Van der Meer<br />
(1988). Caused by the empirical character of<br />
these stability formulae a physical description is<br />
not available for the notional permeability factor.<br />
In practice this leads to ambiguities in determination<br />
of the value of this factor. To give this factor<br />
a physical description a volume exchange model<br />
was introduced to express the effect of core permeability<br />
on the external wave run-up process. This<br />
volume exchange model couples the external with<br />
the internal process. The external process is described<br />
by a wave run-up model. In this model the<br />
Cet article décrit une approche théorique pour la<br />
description physique du facteur P de perméabilité<br />
notionnelle dans les formules de stabilité de Van der<br />
Meer (1988). En raison du caractère empirique de<br />
ces formules de stabilité, une description physique<br />
n’existe de ce facteur de perméabilité notionnelle.<br />
En pratique, cela conduit à des ambiguïtés dans<br />
la détermination de la valeur de ce facteur. Afin<br />
de donner une description physique à ce facteur,<br />
un modèle d’échange de volumes a été introduit<br />
pour décrire l’effet de la perméabilité du noyau<br />
de la digue sur le phénomène de run-up sur la<br />
carapace de l’ouvrage. Ce modèle d’échange de<br />
volumes couple les processus externe et interne.<br />
Le processus externe est décrit par un modèle<br />
de run-up. Dans ce dernier, le calcul de run-up<br />
Dieser Artikel beschreibt einen theoretischen<br />
Ansatz für eine physikalische Beschreibung des<br />
fiktiven Durchlässigkeitsfaktors P in den Stabilitätsformeln<br />
von Van der Meer (1988). Bedingt durch<br />
den empirischen Charakter dieser Stabilitätsformeln<br />
gibt es keine physikalische Beschreibung<br />
für den fiktiven Durchlässigkeitsfaktor. In der<br />
Praxis führt das zu Unklarheiten bei der Festlegung<br />
des Wertes für diesen Faktor. Um diesen<br />
Faktor physikalisch zu erfassen, wurde ein Volumenaustauschmodell<br />
eingeführt, um so den Effekt<br />
der Durchlässigkeit von Dichtkernen auf äußere<br />
Wellenauflaufprozesse darzustellen. Dieses Volumenaustauschmodell<br />
verbindet die externen mit<br />
den internen Prozessen. Der externe Prozess<br />
wird durch ein Wellenauflaufmodell beschrieben.<br />
SUMMARY<br />
RéSUMé<br />
ZUSAMMENFASSUNG<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 18<br />
wave run-up wedge approach of Hughes (2004)<br />
is linked to the wave kine-matics in front of the<br />
structure. The internal process is described by the<br />
‘Forchheimer’ equation for the water flow through<br />
a porous medium. In this study it is stated that the<br />
notional permeability factor P is highly related to<br />
this volume exchange model. With this correlation<br />
it is possible to choose a value of the notional<br />
permeability factor that is based on a physical<br />
description. Besides the volume exchange model<br />
shows that the P-factor is not only related to the<br />
structural parameters, as stated by Van der Meer<br />
(1988), but also on the hydraulic parameters.<br />
calé sur l’approche de Hughes (2004) est lié à la<br />
cinématique des vagues au droit de l’ouvrage.<br />
Le processus interne est décrit par l’équation de<br />
‘Forchheimer’ pour l’écoulement d’eau à travers<br />
un milieu poreux. Dans cette étude, il est établi<br />
que la notion de facteur de perméabilité notionnelle<br />
dépend fortement du modèle d’échange de<br />
volumes. Grâce à cette corrélation, il est possible<br />
de choisir une valeur du facteur de perméabilité<br />
notionnelle qui se base sur une description physique.<br />
D’ailleurs, le modèle d’échange de volumes<br />
montre que le facteur P n’est pas seulement relié<br />
aux caractéristiques de la structure, comme proposé<br />
par Van der Meer (1988), mais aussi relié<br />
aux paramètres hydrauliques.<br />
In diesem Modell wird der Wellenauflauf-Keil-<br />
Ansatz von Hughes (2004) mit der Wellenkinematik<br />
vor dem Bauwerk verbunden. Der interne<br />
Prozess wird durch die ‘Forchheimer’-Gleichung<br />
für die Durchströmung eines porösen Mediums<br />
be-schrieben. In dieser Studie wird festgestellt,<br />
dass der fiktive Durchlässigkeitsfaktor P eng mit<br />
diesem Volumenaustauschmodell verbunden ist.<br />
Durch diese Korrelation ist es möglich, einen Wert<br />
für den fiktiven Durchlässigkeitsfaktor P zu wählen,<br />
der auf einer physikalischen Beschreibung beruht.<br />
Außerdem zeigt das Volumenaustauschmodell,<br />
dass der P-Faktor nicht nur in Beziehung zu den<br />
Parametern des Bauwerks steht, wie von Van der<br />
Meer (1988) angenommen, sondern auch zu den<br />
hydraulischen Parametern.
IMPROVING THE COMPETITIVENESS<br />
OF THE SPANISH PORT SYSTEM BY OPTIMISING<br />
THE CARGO HANDLING SERVICE<br />
JOSÉ LUIS ALMAZÁN GÁRATE<br />
Prof. PhD. Civil Engineering &<br />
Economist,<br />
Director of the Research Group on<br />
Maritime and Port Engineering at the<br />
Universidad Politécnica de Madrid<br />
E-mail: joseluis.almazan@upm.es<br />
Port services, cargo handling, stevedore<br />
KEY WORDS<br />
MOTS-CLEFS<br />
Service portuaire, manutention, manutentionnaire<br />
INTRODUCTION<br />
Maritime transport, responsible for channelling 90<br />
% of international trade fl ows, is organised around<br />
ports. These vital platforms for the development of<br />
the economy compete against each other to maximise<br />
the traffi c they attract to their facilities.<br />
Spanish ports constitute a central axis in the development<br />
of international maritime transport and<br />
a logistical platform for the whole of southern Europe.<br />
Over 7,900 kilometres of coastline and a<br />
strategic geographical position make the country<br />
an area of particular interest due to its port establishments.<br />
The activity of the Spanish Port System,<br />
with a turnover in excess of € 1 billion, represents<br />
20 % of the GDP, specifi cally of the transport sector,<br />
contributing 1.1 % to the national GDP and<br />
generating 145,000 direct and indirect jobs.<br />
Given the current economic climate, competition<br />
between ports has never been greater and only<br />
those which are capable of adapting to new requirements<br />
and provide quality port services, reliably<br />
and at a competitive price will be able to<br />
by<br />
19<br />
maintain their traffi c.<br />
PILAR PARRA SERRANO<br />
Civil Engineer,<br />
COO Melilla Authority Port<br />
Avd. Marina Española, 4<br />
E-mail: mpparra@puertodemelilla.es<br />
The revision of the Law on Ports and the Merchant<br />
Navy (1) highlights the effi ciency and competitiveness<br />
of Spanish ports through the promotion of<br />
competition as one of its main objectives. It recommends<br />
that ports should cover the expenses<br />
arising for the client both directly, port charges,<br />
and indirectly, costs of port and trading services.<br />
Therefore, the need therefore arises to optimise<br />
the conditions in which port services are provided,<br />
assessing their impact on the competitiveness<br />
of the Spanish Port System and on each of the<br />
agents which form part of the global chain of maritime<br />
transport.<br />
1. SERVICES RENDERED IN PORTS<br />
The revised text of the Law on State Ports and the<br />
Merchant Navy classifi es the services rendered<br />
in ports into four types: general, port, trading and<br />
maritime aids to navigation; and for each one it<br />
gives details for the regime of service provision.<br />
The law includes new mechanisms for the supervision<br />
of conditions of provision and the competitiveness<br />
of these services, creating two bodies for<br />
this end. On the one hand, a Permanent Observatory<br />
of the Port Services Market, as part of State<br />
Ports and on the other, within the Shipping and<br />
Ports Council, a Port Services Committee, formed<br />
by service users and organisations in the sector,<br />
to be consulted by the Port Authorities over conditions<br />
of service provision, in particular charges.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
2. IMPACT ON EACH OF THE<br />
AGENTS IN THE VALUE CHAIN.<br />
RESEARCH METHODOLOGY<br />
2.1. Public Administration<br />
Port services shall be provided by private initiative.<br />
However, the public administration, which<br />
is responsible for the service provision, the Port<br />
Authority, shall verify the viability of the proposal,<br />
thereby guaranteeing the success of the venture<br />
and adequate coverage of the service and, therefore,<br />
the continuity of the service provision.<br />
To gauge the opinion of the Ports Authorities about<br />
the port services sector, we conducted a research<br />
project and analysis using the Delphi method,<br />
consulting how port services affect the competitiveness<br />
of a port and the transparency of these<br />
services. The results obtained confirm that there<br />
is a common viewpoint among the Port Authorities<br />
(90 % of port directors of Spanish ports of public<br />
interest) about the importance of port services<br />
in the competitiveness of the port and the lack of<br />
transparency in the sector of service providers,<br />
particularly in relation to the cargo handling service,<br />
which is the most critical (86 %) and where<br />
there is greatest opacity (76 %). The most important<br />
aspects are considered the cost and reliability<br />
of the provision.<br />
The following section presents a strategic analysis<br />
of the port sector using Porter’s Five Forces<br />
model which will enable us to find out the profitability<br />
of the sector and the trends of the current<br />
system.<br />
Porter’s Five Forces Model<br />
Porter’s analysis (2) is an elaborate strategic model<br />
used worldwide to analyse the profitability of an<br />
industry. The following figure shows the five forces<br />
Table 1: Layout of Porter’s Five Forces Model<br />
Source: M. Porter, “Competitive Strategy”<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 20<br />
that, together, determine the level of competitiveness<br />
of a specific sector.<br />
Classifying forces this way allows a better analysis<br />
of the setting of the company or industry to which<br />
it belongs and, this way, on the basis of this analysis,<br />
makes it possible to design strategies to make<br />
the most of opportunities and withstand threats.<br />
Applying this methodology to determine the attractiveness<br />
of the Spanish port system we can<br />
point out that it was initially an enormously attractive<br />
sector due to its strong barriers to entry<br />
(port public domain and large investment required<br />
for the construction of its infrastructures), its limited<br />
rivalry (practical non-existence of alternative<br />
forms of transport) and due to achieving control<br />
over part of the logistics chain, all of which placed<br />
it in a position of strength over suppliers and clients.<br />
However, measures adopted recently have<br />
reduced the attractiveness and competitiveness<br />
of Spanish ports, amongst which we should highlight<br />
the following:<br />
• The growing power of port services providers,<br />
in particular the cargo handling service, represents<br />
one of the main critical elements, not just<br />
due to its high costs but also to its ability to paralyse<br />
ports.<br />
• The growing process of decentralisation in the<br />
management of Spanish ports of public interest<br />
as a result of decisions taken due to current<br />
political circumstances is providing port clients<br />
with increasing power at the expense of state<br />
interests. Thus, each autonomous region with<br />
a majority on the board of directors of the state<br />
ports located within their regions which have<br />
full management autonomy are competing with<br />
those of other autonomous regions to supply infrastructures<br />
and are all attempting to rob traffic<br />
from one another leading to a drop in revenue<br />
for these ports. The consequence is an unnecessary<br />
overcapacity in Spanish ports which
also does little to generate client loyalty, because<br />
the lack of private investment which only<br />
becomes profitable over time means that there<br />
are no exit barriers.<br />
2.2. Impact on the Price of Products<br />
The following table shows how the cost of port<br />
services affects the end consumer, through its repercussion<br />
on the price of the listed merchandise.<br />
We selected a basket of basic products in Spanish<br />
homes and then quantified the cost of charges<br />
arising from the provision of port services in a typical<br />
Spanish port on the product’s retail price.<br />
The main conclusions that can be drawn from this<br />
are as follows:<br />
Table 2: Relative shipping costs in relation to retail price<br />
Source: Own production<br />
1. Food products bear shipping costs which represent<br />
a mean of 7.54 % of their retail price.<br />
Within the group, mineral water stands out with<br />
23 % of its retail price due to shipping charges,<br />
in contrast for other products such as articles<br />
of clothing and footwear it represents 0.04 %<br />
of the retail price, and for medicines 0.09 %.<br />
2. The charges for the provision of port services<br />
accounts for approximately 0.5 % on average<br />
of the final retail price of the products.<br />
21<br />
2.3. Companies Supplying Port Services<br />
For the purposes of this study, we investigated<br />
and collected information about the main companies<br />
which supply port services in Spain. We then<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
analysed this information and studied the trend of<br />
development of activity, with the following conclusions:<br />
* Structure of the sector<br />
The sector is highly concentrated with a small<br />
number of large business groups which provide<br />
several types of port services. In parallel, there<br />
are many small companies which specialise in<br />
one type of service.<br />
Most of the companies analysed present a high<br />
degree of diversification towards other activities<br />
related to maritime freight transport. Thus, the<br />
sector features large shipping groups, such as<br />
Bergé Marítima, Boluda, Dávila, Ership, Maersk,<br />
MSC and Suardíaz.<br />
As for the capital ownership of the service companies,<br />
most of the shareholding is in Spanish<br />
hands, although some foreign operators are<br />
present such as Maersk Group (Denmark), MSC<br />
Group (Switzerland) or TPS Tarragona Port Services<br />
(Australia).<br />
* Competitive forces and trends<br />
The current economic situation is accelerating<br />
the process of business concentration, with some<br />
companies being bought up, such as Marítima<br />
Candina Group being taken over by Bergé Marítima<br />
Group. In addition, the cessation of business<br />
activity by some shipping groups, such as the<br />
Contenemar and Odiel groups, has led to the cessation<br />
of operations of some of their subsidiary<br />
companies which provided stevedore services<br />
and the cessation of activity of some of the terminals<br />
in which they participated.<br />
It is to be expected that some of the main operators<br />
will continue intensifying their policies of internationalisation.<br />
This is the case of Grup Marítim<br />
TCB which runs a terminal in Izmir (Turkey) and<br />
which will run the terminals it is building in the port<br />
of Hiep Phuoc (Vietnam) and Ennore (India).<br />
2.4. Shipping Companies and Businesses<br />
which Operate Terminals<br />
We can assure, specifically for the case of mari-<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 22<br />
time transport, that for the shipping company the<br />
choice of one port over another depends mainly<br />
on the overall costs of the maritime transport, with<br />
the convergence of other factors of a much greater<br />
specific weight than the direct costs of the port,<br />
with the geostrategical location of the port considered<br />
being particularly significant.<br />
According to the conclusions of the UNCTAD report<br />
(3) over port-to-port transport (perhaps we<br />
should say Logistical Platform to Logistical Platform)<br />
in transoceanic routes with medium-sized<br />
ships and assumed subsequently by authors such<br />
as Jansson & Shneerson (4), the costs derived<br />
from the turnaround time the ship remains in the<br />
ports of origin and destination of the cargo represent<br />
approximately two thirds of the freight charge<br />
(including the charges and fees for the provision<br />
of the port and trade services), while the remaining<br />
third corresponds to navigation costs.<br />
The breakdown of these costs, according to the<br />
well-known rule of thirds, would correspond to two<br />
thirds owing to time waiting and solely the remaining<br />
third accounting for charges paid, of which in<br />
turn two thirds would be for the handling of the<br />
cargo and the other third for charges and fees.<br />
In short, the following conclusions can be<br />
reached:<br />
• The cost of the use of port installations is relatively<br />
low when compared to the overall cost of<br />
cargo transport overseas, so that it would never<br />
be a decisive factor for the shipowner when<br />
selecting ports of call. The strategic location of<br />
the port is the main characteristic taken into account,<br />
to reduce navigation times. In turn, the<br />
costs associated to the turnaround time of the<br />
ship in port are more determining for the shipowner<br />
than the actual port charges or fees.<br />
• For the owner of the cargo, who, apart from having<br />
to meet all the costs deriving from the transport<br />
of his cargo overseas, also has to meet all<br />
land-based ones, making port expenses even<br />
less significant.<br />
• Within port expenses, which are determining for<br />
the operator of the terminal, and according to<br />
the studies of Prof. Almazán (5), the main components<br />
come from the handling of the cargo<br />
(65 %) and the time taken to do so. This indi-
cates that the reduction of costs for handling a<br />
ship’s cargo is the option that offers greatest possibilities<br />
for economies.<br />
3. ECONOMIC-FINANCIAL<br />
ANALYSIS OF STEVEDORE<br />
COMPANIES<br />
Table 3: Economic-financial ratios<br />
Source: Own production<br />
23<br />
3.1. Problem Characterisation<br />
Having corroborated that the cargo handling port<br />
service is responsible for the greatest share of the<br />
costs for the passage of cargo through a port and<br />
that this is a sector of great opacity, where the Port<br />
Authorities responsible for regulating the service<br />
do not have the mechanisms to know the market,<br />
we have conducted an economic-financial analy-<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
sis of the companies that provide cargo handling<br />
services in Spain.<br />
This analysis will allow us to predict the reliability<br />
of the company, when issuing licenses and estimate<br />
their profitability, knowing who has greater<br />
guarantees of success and therefore a greater<br />
likelihood of maintaining the service throughout<br />
the period covered by the license, besides facilitating<br />
the fixing of maximum charges depending<br />
on the results of the companies. In addition to this,<br />
two types of companies have been modelled:<br />
1. The standard company, obtained on the basis<br />
of mean accountancy values of the ratios obtained<br />
for each of the companies selected for<br />
our sample.<br />
2. The best company, obtained on the basis of<br />
the best values obtained from the economicfinancial<br />
point of view. This will be the best<br />
company at a theoretical level from the business<br />
point of view, but not necessarily for the<br />
Administration. If the companies tend towards<br />
this model, it would be necessary to revise the<br />
maximum charges to improve the competitiveness<br />
of service costs.<br />
The following companies were selected for the<br />
above-mentioned operations: Cargas y Descargas<br />
Velasco, A. Perez y Cía, Tarragona Port Services.<br />
Euroports Ibérica, Estibadora Algeposa,<br />
Cantabriasil, Perez Torres, Mertramar, Ceferino<br />
Nogueira, Maritima Dávila, Grup Maritim TCB and<br />
Vasco Gallega de Consignaciones.<br />
3.2. Standardisation of the Accounting<br />
Structure and Obtaining of Economic-<br />
Financial Ratios<br />
o Balance sheet:<br />
Table 4: Balance sheet<br />
Source: Own production<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 24<br />
We gathered economic-financial information of the<br />
selected companies which provide cargo handling<br />
port services in Spain. To do so, we referred to the<br />
annual accounts that companies have to present<br />
to the Commercial Register and gathered all the<br />
information available about the company and its<br />
environment issued by the company itself or third<br />
parties. We standardised the profit and loss accounts<br />
and the balance sheets to be able to analyse<br />
all the information.<br />
We calculated the selected economic-financial<br />
indicators and the best and standard values obtained<br />
are those shown in Table 3 on the previous<br />
page.<br />
3.3. Modelling of the Standard Company<br />
In the design of the model company we can distinguish<br />
between the company of best values and<br />
the standard company, thereby having a reliable<br />
business management model supported by the<br />
experience of the companies who perform their<br />
operations successfully in Spain. But it also provides<br />
a tool for analysing possible deviations in<br />
relation to both ‘best’ and ‘standard’ situations,<br />
not just when approving maximum charges and<br />
issuing licenses, but also enabling adequate<br />
monitoring of management during the exploitation<br />
phase.<br />
To obtain the accounting structure of the model<br />
companies, we simplified the balance sheet and<br />
the profit and loss account, as shown in the following<br />
tables.
o Profit and loss account:<br />
From the best and standard values of the economic-financial<br />
ratios of the companies selected<br />
we have calculated balance sheets and profit and<br />
loss accounts expressed for sales equal to 100<br />
and as a function of them. This structure makes it<br />
possible to compare the balance sheets and profit<br />
Table 5: Profit and loss account<br />
Source: Own production<br />
Table 6: Obtaining the economic-financial structure<br />
Source: Own production<br />
Table 7: Balance sheet of the ‘best’ company<br />
Source: Own production<br />
and loss accounts forecast in the applications for<br />
licenses and observe deviation to anticipate the<br />
probability of success of the companies in question,<br />
something which we believe could be of great<br />
assistance both to the Public Administration and<br />
to the private companies in the sector.<br />
25<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
4. MEASURES TO OPTIMISE THE<br />
CARGO HANDLING SERVICE<br />
4.1. Introduction<br />
As we mentioned earlier, the reduction in a ship’s<br />
turnaround time has a great effect on the cost of<br />
maritime transport and the competitiveness of the<br />
Table 8: Profit and loss account for the ‘best’ company<br />
Source: Own production<br />
Table 9: Balance sheet of standard company<br />
Source: Own production<br />
Table 10: Profit and loss account of standard company<br />
Source: Own production<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 26<br />
port. For this reason it is fundamental for the cargo<br />
handling service to be conducted efficiently, ensuring<br />
reliability and reducing the costs of the service.<br />
The personnel who provide this port service<br />
are the stevedores, who are either employed by<br />
the stevedore companies (common employment<br />
regime) or are under a special employment contract<br />
of the SAGEP, the port stevedore management<br />
company.
Although there may be variations, the scenario is<br />
normally as follows: the owner of the cargo will<br />
terminate a contract for the transport of the cargo<br />
with the shipowner, who in turn will commission<br />
the agent to manage the services while the ship is<br />
in port, in particular the loading and unloading of<br />
cargo. As this is an activity reserved for stevedore<br />
companies, the commissioned agent will have to<br />
enter into a contractual relationship with them, for<br />
which they will require port stevedores.<br />
4.2. Formulation of Measures<br />
Having underlined the importance of optimising<br />
the provision of cargo handling services, we detected<br />
that they represent the main proportion of<br />
port costs and we also found that this situation is<br />
not the result of high profit margins of the stevedore<br />
companies (mean profit/sales ratio = 4.68<br />
%). We then proceeded to analyse the causes<br />
and identified the specific and advantageous occupational<br />
circumstances of the port stevedores<br />
and on the basis of these findings we can propose<br />
the following measures to optimise the service:<br />
• Sizing of port work teams on the basis of real<br />
needs<br />
In contrast to what one might think, increasing the<br />
number of personnel in a work team does not necessarily<br />
lead to better performance in the loading<br />
and unloading of cargo. It is currently not a decisive<br />
factor, as the limits are imposed by the performance<br />
and capacity of the mechanical means<br />
employed and other factors, such as operational<br />
safety.<br />
At present, the number of persons in a team is<br />
normally excessive and in any case the establishment<br />
of the number of personnel is set by union<br />
and historical agreements instead of using objective<br />
criteria.<br />
• Professionnalisation of the port worker<br />
While the practical work of the professional port<br />
stevedore is virtually identical in any European<br />
port, there is great variation over the formulas<br />
for their education and training. In Spain, until<br />
recently, one did not need specific requirements<br />
to apply for a job as port stevedore. Law 33/2010<br />
emphasises the need to standardise training, but<br />
it does not establish a specific qualification for port<br />
stevedores.<br />
27<br />
• Simplify salary conditions and bring them into<br />
line with other similar sectors<br />
According to the IV Framework Agreement for the<br />
Regulation of Occupational Relations in the port<br />
stevedore sector, once the basic salary is fixed,<br />
incentives such as the following are added for a<br />
variety of concepts: special conditions for unit of<br />
time, performance, bonuses for years of service,<br />
bonuses for job position, travel allowance, extraordinary<br />
payments, remuneration for days of inactivity,<br />
remuneration for finishing, special payments,<br />
bonuses for arduousness, toxicity and danger, appointment<br />
attendance bonus, etc. There are other<br />
types, such as the introduction of technological<br />
measures by the terminal operator designed to increase<br />
productivity; in this case stevedore personnel<br />
are entitled to a bonus.<br />
These advantageous pay conditions reduce the<br />
competitiveness of the port, by increasing port<br />
costs and losing market share to other competitors,<br />
normally to international competitors who<br />
can reduce their wage costs. In fact, this can be<br />
a decisive factor for container transhipment traffic<br />
which is the most volatile and sensitive to variations<br />
in fees and charges.<br />
• Optimising the efficiency of available resources<br />
Productivity will be improved with versatile work<br />
teams for Ro-Ro and Lo-Lo. This will mean that<br />
with mixed cargoes, when the operation with one<br />
type of cargo has finished, the full-working day of<br />
the stevedores can be used even if they have finished<br />
loading or unloading beforehand.<br />
• Flexible working-hours<br />
The distribution and type of working days are laid<br />
down in each port by agreement. The excessive<br />
strictness of entry and exit times for port stevedores<br />
leads to extra docking costs by having to<br />
resort to ‘finishing’ time.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
• Increase the number of employees in the stevedore<br />
companies<br />
The minimum number of workers employed by<br />
the stevedore companies is currently fixed by law,<br />
having to be capable of covering at least 25 %<br />
of the company’s activity, but on the whole these<br />
minimum numbers are not respected.<br />
The stevedore companies do not register labour<br />
costs under the Special Labour Regime as costs<br />
of personnel, but as operating expenses and in<br />
some cases they even bill the cargo owner directly,<br />
on the one hand detailing personnel costs and<br />
separately the rest of the handling costs and the<br />
profit margin. Thus, in most cases the stevedore<br />
companies themselves are merely intermediaries<br />
who will be unaffected by the improvement in<br />
these costs and consequently are not going to undertake<br />
actions to optimise them.<br />
• Introduction of new technologies<br />
Smart systems for logistics management allow<br />
stevedore companies to manage cargo more efficiently,<br />
through the real-time control of the cargo<br />
being handled or moved through the terminal.<br />
In turn, there is also an unstoppable trend towards<br />
the automation and mechanisation of cargo<br />
handling methods in container port terminals.<br />
Although port stevedores currently view this as a<br />
threat to personnel requirements, it may provide<br />
an opportunity for training and obtaining professionals<br />
with a high degree of preparation and<br />
100 % versatility.<br />
• Facilitating temporary contracts for workers<br />
Facilitating temporary contracts for workers would<br />
make it possible to cover peak operational demand<br />
for workers, with these being selected from an employment<br />
pool and would lead to fewer workers on<br />
a standard or special employment contract, while<br />
their level of activity would be greater. This would<br />
lead to an improvement in the costs of stevedore<br />
companies who would not have to assume costly<br />
expenses of structure and inactivity which subsequently<br />
affect their services.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
28<br />
4.3. Quantification of the Best Proposals<br />
We are going to select those measures which can<br />
be quantified for the purposes of evaluating their<br />
impact on the overall cost of the passage of cargo<br />
through a port:<br />
• Sizing the number of personnel per work team<br />
to meet operational requirements<br />
With the information provided by operating companies<br />
in the terminals of Valencia, Malaga and<br />
Algeciras, it would be possible to reduce the number<br />
of personnel employed on average across the<br />
three terminals by 25 %.<br />
• Bring the salary of the port stevedore into line<br />
with that in similar sectors<br />
Given the wide range of salary extras and, being<br />
based on variables such as productivity or dependent<br />
on agreements reached in each port, we<br />
were not able to obtain mean salary values at a<br />
national level.<br />
We therefore referred to the data of the stevedore<br />
companies for 2010 and, after updating this to<br />
2012, we obtained a mean gross annual salary of<br />
€ 53,141.65 for each port worker.<br />
In the construction sector agreement updated to<br />
January 1st, 2012, a minimum gross annual salary<br />
of € 16,234.61 is established for crane operators.<br />
In turn, the construction agreement indicates<br />
that the salary of a port crane operator depends<br />
on the port authority with the gross annual salary<br />
being set at € 18,001.60.<br />
Taking this last figure as a reference, we find that<br />
there is a difference between the salary of a worker<br />
in the construction sector or performing the same<br />
job but dependent on the administration and the<br />
cost of a stevedore of at least 68 %.<br />
• Calculation of hours actually worked<br />
We calculated the level of activity, taking this as<br />
the ratio between the hours actually worked in<br />
relation to the maximum theoretical hours to be<br />
worked by employees according to the Workers’<br />
Statute (1,824 hours).
€<br />
€<br />
In this case, we shall give as an example the real<br />
data for cargo handling activity of a port of public<br />
interest.<br />
Calculating the mean over three years we find that<br />
a 54 % reduction is possible between theoretical<br />
hours and actual hours worked.<br />
Application and results for the operation of the<br />
cargo handling service<br />
With the results we have obtained in this study and<br />
the proposed measures for optimisation, we are<br />
going to make the calculations for the optimisation<br />
of the cargo handling service by the reduction of<br />
costs for a cargo loading or unloading operation,<br />
applying the quantification of the proposed measures.<br />
The cost of the passage of cargo through a port is<br />
due to several factors, the part corresponding to<br />
the handling of the cargo which is the object of this<br />
study accounts for the largest share, representing<br />
roughly 65 % of the overall cost. In other words:<br />
C P = C E + O<br />
C P = aC P<br />
With C : the overall costs of the passage of the<br />
p<br />
cargo through the port for the shipowner, C : E<br />
costs corresponding to the cargo handling port<br />
service, O: other costs (fees and charges for the<br />
remaining services supplied in the port) and α:<br />
percentage which represents the charge € for the<br />
provision of the cargo handling service, in relation<br />
to the total cost of the passage of the cargo<br />
through the port.<br />
As in any commercial transaction, the invoice for<br />
the cargo handling service issued by the stevedore<br />
company to the shipowner or company which<br />
owns the merchandise for each loading and unloading<br />
operation, covers the total costs incurred<br />
by the stevedore company plus a profit margin.<br />
We obtained that profit margin in the present study<br />
by obtaining the mean ratio (RBV = 4.68%) from<br />
the ratios obtained for each of the companies.<br />
As this is the mean ratio in annual terms, we shall<br />
suppose that it is<br />
€<br />
the margin obtained for each of<br />
its operations: C E = CO + B<br />
With C : cost per operation in which the stevedore<br />
O<br />
company is involved and B: profit. Commercial<br />
margin<br />
€<br />
obtained from the mean profit/sales ratio<br />
(RBV = B / C ). E<br />
The measures for optimising the service are<br />
aimed at reducing the costs of stevedore personnel.<br />
Therefore, we need to know the percentage<br />
figure attributable to the costs of personnel (only<br />
stevedores) in relation to the overall costs of the<br />
company, being approximately 55 % of overall<br />
costs.<br />
We have taken into consideration that the annual<br />
economic-financial structure of the stevedore<br />
company is applicable to each of its operations; in<br />
other words, the relation between the total costs of<br />
the stevedore company and personnel costs is the<br />
same in one operation and will correspond to the<br />
cost of the port stevedores, under both the general<br />
and special occupational regimes.<br />
29<br />
Ce = bCo<br />
With C e : the costs derived from the stevedore personnel<br />
for each operation and β: the ratio between<br />
personnel costs and the totals for the standard<br />
stevedore company.<br />
We are going to express the costs of personnel for<br />
the stevedore company for each one of the cargo<br />
loading or unloading operations as a function of<br />
the following variables: number of stevedores per<br />
operation = x, number of hours per operation = y,<br />
and cost derived from the hourly wage rate of the<br />
stevedore = z.<br />
The product of the three previous factors will give<br />
us the personnel costs incurred by a stevedore<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
company in each loading or unloading operation.<br />
Ce = x × y × z<br />
Thus, the value which we want to know is the percentage<br />
reduction in the new situation compared<br />
to the previous one:<br />
Δ(%) = ( Ce − Ce1 ) ×100<br />
C P<br />
In the new situation, the costs of stevedore personnel<br />
in each operation (C ) will be:<br />
e1<br />
Ce 1 = x 1 × y 1 × z 1<br />
Therefore:<br />
x1 = g1x y1 = g 2y z1 = g 3z Ce = g1x × g 2y × g 3z We express the cost derived from the stevedore<br />
personnel as a function of the costs of passage<br />
through the port:<br />
Ce = ab(1− RBV )C P<br />
Applying to the formula that we wish to obtain:<br />
Δ(%) = Ce − g 1 g 2 g 3 Ce<br />
Ce<br />
ab(1− RBV )<br />
×100<br />
According to the previously obtained values:<br />
a = 0.65<br />
b = 0.55<br />
RBV = 0.0468<br />
g1 = 0.75<br />
g 2 = 0.46<br />
g 3 = 0.32<br />
Δ(%) = 30.3%<br />
A 30 % reduction could be achieved in the cost of<br />
the passage of cargo through the port following<br />
the application of the measures proposed for the<br />
port stevedore.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 30<br />
5. CONCLUSIONS<br />
In the course of this briefly outlined study and<br />
research project, we have reached the following<br />
conclusions:<br />
• After a detailed analysis of the port sector from<br />
the point of view of the administration using<br />
Porter’s Five Forces model, we can conclude<br />
that, to recover its attractiveness, the two main<br />
challenges facing the sector are, on the one<br />
hand, the growing power of clients as a result of<br />
the process of decentralisation in planning and<br />
supply of port terminals and, on the other hand,<br />
the excessive power of port service providers,<br />
in particular cargo handling services.<br />
• After gathering the information available and<br />
gauging the opinion of the sector using the<br />
Delphi method, we have concluded that the<br />
Spanish Port System does not have enough<br />
mechanisms to help it observe the process objectively,<br />
enabling it to lay down the conditions<br />
for the concession of licenses for the provision<br />
of the port service of cargo handling. This is<br />
particularly alarming as the search for the balance<br />
between the necessary profitability of the<br />
stevedore company and the efficient and costcompetitive<br />
provision of the service represents<br />
one of principal and most difficult objectives of<br />
port operation in a Spanish port of public interest.<br />
Furthermore, the following conclusions<br />
have been reached about the sector:<br />
1. Most of the companies dedicated to the<br />
provision of port services form part of large<br />
business groups, of mainly Spanish capital,<br />
linked to the maritime sector, and which<br />
have diversified their activity to include the<br />
provision of services.<br />
2. Given the bleak outlook for the growth of activity<br />
in coming years, the tendency towards<br />
concentration in the sector will gather pace,<br />
with the likelihood of new mergers between<br />
companies.<br />
3. The main operators will continue to intensify<br />
their policies of internationalisation.<br />
• The study into the impact on the cost of merchandise<br />
of the passage through the port was<br />
successful, with the conclusion that this cost is<br />
not representative in the cost of the product perceived<br />
by the end consumer (approximately a<br />
0.5 %).
• We corroborated the initial hypothesis that handling<br />
is responsible for the largest share of cargo<br />
costs in a port. We quantified that 65 % of<br />
the total cost for the passage of containerised<br />
cargo through a port is due to handling.<br />
• We analysed different indicators and economicfinancial<br />
ratios of the most important stevedore<br />
companies operating in the Spanish Port System<br />
which gave us tangible figures for standard<br />
and best values which will make it possible to<br />
compare future projects tendering for Port Authority<br />
licenses and establish benchmark values<br />
with other international companies. Amongst<br />
others, we obtained the mean ratio for profit<br />
over sales of 4.68 %, a value which shows that<br />
the excessive costs produced in the handling<br />
sector are not the result of high profit margins of<br />
the stevedore companies.<br />
• We prepared an ideal balance sheet and profit<br />
and loss account on the basis of sales designed<br />
using the best economic-financial ratios of the<br />
sector’s most representative stevedore companies.<br />
This tool makes it possible to compare<br />
forecasting structures of potential bidders for licenses<br />
in the Spanish Port System and will provide<br />
the Spanish Port Administration with criteria<br />
for the provision of cargo handling services,<br />
encouraging the sustainable development and<br />
creation of value in the area of influence of the<br />
port.<br />
• We identified the main measures that would<br />
contribute to the improvement in the competitiveness<br />
of the port service of cargo handling.<br />
We quantified those that have a direct influence<br />
on the reduction of labour costs of the port service<br />
of cargo handling. Furthermore, by using<br />
these mean ratios we found that a 30 % reduction<br />
could be achieved in the costs of the passage<br />
of cargo through a port with the application<br />
of these measures. The application of these<br />
measures represents an important contribution<br />
to encouraging the competitiveness of Spanish<br />
ports.<br />
6. BIBLIOGRAPHY<br />
(1) Royal Legislative Decree 2/2011, 5 September,<br />
approving the Revised Text of the Law<br />
of State Ports and the Merchant Navy.<br />
(2) Porter, M.E. (1998): “Competitive Strategy<br />
Techniques for Analyzing Industries and<br />
31<br />
Competitors”, Touchstone (Simon & Schuster).<br />
(3) De Monie, G. (1988): “Measuring and evaluating<br />
port performance and productivity”,<br />
UNCTAD monographs on port management,<br />
Nº6, New York.<br />
(4) Jansson, J.O. and Sheneerson, D. (1982):<br />
“Port Economics”, MIT Press, Massachusetts.<br />
(5) Almazán Gárate, J.L. (1998): “Estudio de<br />
determinación del coste de paso de los contenedores<br />
por el sistema portuario español”,<br />
Fundación Agustín de Betancourt, E.T.S de<br />
Ingenieros de Caminos, Canales y Puertos,<br />
Madrid.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Port services, and in particular the cargo handling<br />
service, are responsible for the greatest share<br />
of costs incurred during the passage of cargo<br />
through a port. The provision of these services reliably<br />
and efficiently is crucial in a sector in which<br />
there is great opacity. This study has provided the<br />
responsible administration – the Port Authority<br />
– with a tool enabling objective decision making<br />
Les services portuaires, et particulièrement le service<br />
de manutention de marchandise, représentent<br />
une part importante des coûts engagés pour<br />
le passage portuaire. Une fourniture fiable et efficace<br />
de ces services est cruciale dans un secteur<br />
où existe une grande opacité. Cette étude a fourni<br />
à l’administration responsable, à savoir l’autorité<br />
portuaire, un outil permettant une prise de décision<br />
Dienstleistungen in Häfen, insbesondere die Abfertigung<br />
der Ladung, sind für den größten Kostenanteil<br />
verantwortlich, der bei der Passage von<br />
Fracht durch einen Hafen anfällt. In einem Industriezweig,<br />
der erhebliche Intransparenz aufweist,,<br />
ist es von entscheidender Bedeutung, diese Dienste<br />
zuverlässig und effizient anzubieten. Diese<br />
Studie liefert der verantwortlichen Administration<br />
– der Hafenbehörde – ein Werkzeug, welches<br />
SUMMARY<br />
RéSUMé<br />
ZUSAMMENFASSUNG<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 32<br />
both when it comes to issuing the corresponding<br />
licenses and during the period of service provision.<br />
Furthermore, we have proposed a series of<br />
measures whose application would improve the<br />
conditions of service provision and reduce the<br />
costs incurred by the passage of cargo through<br />
the port.<br />
objective à la fois lors de la délivrance du permis<br />
correspondant et durant la période de prestation<br />
du service. De plus, nous avons proposé une série<br />
de mesures dont l’application améliorerait les<br />
conditions de prestation de service et réduirait les<br />
coûts engagés par le passage des navires dans<br />
le port.<br />
eine objektive Entscheidungsfindung ermöglicht,<br />
sowohl für das Ausstellen der entsprechenden Lizenzen<br />
als auch während der Bereitstellung der<br />
Dienste. Außerdem schlagen wir eine Reihe von<br />
Maßnahmen vor, deren Anwendung die Bedingungen<br />
der angebotenen Dienste verbessert und<br />
die Kosten reduziert, die beim Durchgang von Ladung<br />
innerhalb eines Hafens anfallen.
A SIMULATION CASE STUDY FOR A COMMERCIAL HUB<br />
PORT PLANNING IN PARTICULAR REFERENCE TO<br />
BERTHS LENGTH AND ANCHORAGE CAPACITY<br />
KEY WORDS<br />
simulation models, berths lengths evaluation,<br />
anchorage areas capacity, commercial ports<br />
planning, berth occupancy factor, representative<br />
statistical distributions, waiting times in units of<br />
service times.<br />
MOTS-CLEFS<br />
modèle de simulation, évaluation de la longueur<br />
des quais, capacité des zones d’ancrage, aménagement<br />
de port commercial, facteur d’occupation<br />
des quais, distributions statistiques représentatives,<br />
temps d’attente en unité de temps de service.<br />
1. INTRODUCTION<br />
Simulation of entry, departure and manoeuvring<br />
for the design vessel in a port are considered very<br />
important to select the suitable planning through a<br />
proposed group of alternatives in the preliminary<br />
design stage. After that, the main required modifi<br />
cations for the selected planning can be carried<br />
out to ensure safety of navigation. This requires<br />
an accurate manoeuvring simulation study to be<br />
carried out [<strong>PIANC</strong>, 1992 ; <strong>PIANC</strong>, 1996 ; Groenveld,<br />
2000].<br />
by<br />
33<br />
M. R. A. KHALIFA<br />
Hydraulic Engineer<br />
(Coastal and Port Engineering Specialist, PhD),<br />
85 Moustafa Kamel, Alexandria – Egypt<br />
Guest Lecturer Harbor Eng. (HTI) – Egypt<br />
E-mail: ramzy24@hotmail.com<br />
Nowadays, a rapid and huge development exists<br />
in the fi eld of both programming and computing for<br />
the simulation languages. Through these simulation<br />
models, vessel entry, departure, berthing and<br />
de-berthing and all its main manoeuvring movements<br />
can be mathematically simulated by using<br />
some certain statistical distributions. A good example<br />
for the most famous statistical distributions<br />
is the one of Earlang. It statistically represents the<br />
queue theory in an effi cient manner, which is used<br />
to represent and organise the entry and departure<br />
of vessels in ports except for containers. This theory<br />
cannot be used in case of container vessels<br />
as they do not accept time delays via waiting in<br />
queues [Blaauw, 1985 ; Groenveld, 2003].<br />
Besides that, through these simulations the accurate<br />
evaluation for minimum berth lengths to accommodate<br />
vessels in a certain fl eet due to an<br />
acceptable waiting time can be carried out. The<br />
considered waiting times are only for arrival cases.<br />
Departure waiting times are not considered in<br />
the carried out simulations. Carrying out such kind<br />
of simulations requires an intensive experience in<br />
simulation profi ciency, which should be applied<br />
through an accurate simulation of the studied case<br />
(berths lengths, fl eets characteristics and generators,<br />
berths occupancy, service times, accommodated<br />
number of vessels, maximum expected design<br />
vessels lengths and beams, etc. [Blaauw et<br />
al., 1981 ; Groenveld, 1983 ; Groenveld 1993])<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
2. MATERIALS AND METHODS<br />
2.1. The Used Model: About Port<br />
and Maritime Systems Simulation Model<br />
(Harboursim)<br />
To optimise a port and/or waterway system, operations<br />
have to be analysed, a process which is<br />
often facilitated by applying simulation models.<br />
Simulation techniques have to be used when it<br />
is no longer possible to create a simple system.<br />
The model is normally used for evaluation and optimisation<br />
of ports and maritime systems. In terms<br />
of acceptable fleet volumes, number of berths or<br />
quay lengths, functional design of terminals, nautical<br />
risks and functional design of inland waterway<br />
systems. Very often, port authorities are dealing<br />
with extension or development works of new satellite<br />
ports to satisfy the demand of increasing ship<br />
traffic (berthing facilities and anchorage areas [Ligteringen<br />
et al., 2000]). The model (Harboursim) is<br />
a generally applicable simulation model. It covers<br />
the wet infrastructure of a port and simulates the<br />
vessel movements in this area. It is used to estimate<br />
the capacity of the wet infrastructure. Generally,<br />
the capacity of a port is dependent on the<br />
dimensions of the approach area, tidal conditions<br />
traffic patterns and terminal facilities. With minor<br />
adaptations nearly the majority of commercial hub<br />
port cases can be represented. Furthermore, because<br />
of the modular structure of this model, it is<br />
possible to insert the accurate details of the terminals.<br />
[PMSS, 2001]<br />
2.2. Main Components of the Model<br />
(Harboursim)<br />
The simulation model (Harboursim-student version)<br />
consists of a group of modules. Each module<br />
can make a certain function. The description<br />
comes as follows [PMSS, 2001]:<br />
[Main] – (Permanent, single component): The<br />
component main initialises the model.<br />
[Generator] - (Permanent, belonging to a class of<br />
components): A component ‘Generator’ generates<br />
vessels of a certain fleet according to an inter arrival<br />
time distribution and assigns the attributes.<br />
[Ship] – (Temporary, belonging to a class of components):<br />
A ship follows the process of a ship from<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
34<br />
the arrival buoy to the terminal and from the terminal<br />
to the end of the approach channel).<br />
[Q.Master] – (Permanent, belonging to class of<br />
components): Checks the availability of a berth or<br />
quay length, and wave conditions in front of the<br />
quay.<br />
[H.Master-(1)] – (Permanent, single components):<br />
H.Master-(1) stands for the component harbour<br />
master (1) and controls the incoming ship traffic<br />
and if necessary the tidal conditions.<br />
[H.Master-(2)] – (Permanent, single components):<br />
H.Master-(2) stands for the component harbour<br />
master (2) and controls the incoming ship traffic<br />
and if necessary the tidal conditions.<br />
[Termoper] – (Permanent, belonging to a class of<br />
components): The component ‘Termoper’ stands<br />
for terminal operator and manages mainly the departure<br />
of vessels.<br />
[Wavecond] – (Permanent, single components):<br />
The component ‘Wavecond’ stands for the wave<br />
conditions and generates the wave conditions in<br />
front of the different quays.<br />
[Tidalrec] – (Permanent, single components): The<br />
component ‘Tidalrec’ stands for tidal conditions<br />
and generates and registers the tidal conditions<br />
(currents and water levels).<br />
2.3. General Configuration of the Model<br />
An approach channel consisting of different sections<br />
different dimensions turning basins giving<br />
access to mooring basins. Each mooring basin<br />
may consist of a number of terminals providing<br />
the mooring facilities for the different ship types.<br />
[PMSS, 2001]<br />
3. RESULTS OF THE MODEL<br />
(EVALUATION OF BERTHS<br />
LENGTHS AND ACHORAGE<br />
CAPACITY)<br />
Examples of model output are ship waiting times<br />
presented with necessary statistical characteristic<br />
dimensions of the approach channel with respect<br />
to the required capacity, the required number of
Fig. 1: Main Skelton and example of the simulation model (Harboursim).<br />
Outputs for the expected waiting times in the different simulated terminals [PMSS, 2001].<br />
berths, quay lengths, transhipment capacities,<br />
store capacities, etc. to meet the design requirements,<br />
dimensions of berths and anchorage areas<br />
capacities and nautical safety aspects. Fig.<br />
1 presents an example of the main Skelton, as<br />
well as an example of the outputs of the used<br />
simulation model (Harboursim) with regard to the<br />
expected waiting times in the different terminals<br />
[PMSS, 2001].<br />
3.1. Evaluation for Optimum Berth Lengths<br />
This research deals with a case study for a port<br />
with four handling terminals. Two of these terminals<br />
are dedicated for container handling and<br />
the other two are dedicated for both dry bulk and<br />
general cargo handling. Fig. 2 represents a neat<br />
sketch for the studied port, which is required to<br />
determine its optimum berth lengths. A simulation<br />
study was carried out by using the model (Harboursim-student<br />
version) for the expected fleets<br />
to accommodate the harbour. The procedure of<br />
estimation is that we change the quay length to<br />
35<br />
arrive close to the allowed values of waiting times<br />
in units of service times. Table 1 presents the<br />
maximum allowed waiting times as a percentage<br />
of service times for the different types of accommodated<br />
vessels.<br />
Practically, no waiting times are acceptable for the<br />
case of container vessels. In some special cases,<br />
a small percentage (up to 10 %) of service times<br />
can be considered acceptable. For both dry bulk<br />
and general cargo fleets, the acceptable waiting<br />
times can be up to 30 %, as increasing the waiting<br />
times for such kind of vessels is not as sensitive<br />
as the case of containers.<br />
To evaluate the required optimum lengths of<br />
berths, the main considered items in simulation<br />
modelling are as follows:<br />
• Berth occupancy factor for different types of accommodated<br />
vessels (--).<br />
• Service times for the different accommodated<br />
vessels in the port (%).<br />
Table 1: Maximum allowed waiting times as a percentage of service times for the different types<br />
of accommodated vessels<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
• Maximum expected number of vessels to be accommodated<br />
for the different types of accommodated<br />
fleets (vessel/year).<br />
• Maximum expected design lengths for the accommodated<br />
vessels (m).<br />
Table 2 represents the main characteristics for<br />
the different accommodated fleets related to the<br />
maximum length, maximum width and the annual<br />
number of accommodated vessels. Besides<br />
that, both maximum and minimum expected limits<br />
for service times and the average ones are also<br />
considered. The main idea for using the Harboursim-student<br />
version model is to carry out a group<br />
of runs to determine the optimum length for the<br />
berths, which are able to satisfy the allowed percentages<br />
for the waiting times as percentages of<br />
service times (or less). Afterwards, the final evaluation<br />
for the berths lengths can be quite accurately<br />
determined (m).<br />
This simulation model is also able to predict the<br />
suitable number of vessels to be accommodated<br />
in a certain anchorage with a certain dedicated<br />
area. The used procedure to carry out such evaluation<br />
of the beginning is to use preliminary values<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
Fig. 2: General layout for the studied port by using<br />
the simulation model (Harboursim) [PMSS, 2001]<br />
36<br />
for berth lengths based on expectations and manual<br />
calculations. Such expectations and calculations<br />
depend on using the theoretical equations<br />
and rules of thumb, in order to get more realistic<br />
values. In the next step, the simulation model<br />
makes the required corrections for these preliminary<br />
lengths, based on the previously used data<br />
of the different accommodated vessels fleets. The<br />
main used data are the expected number of accommodated<br />
vessels (vessel/year) and the maximum<br />
design length. The most accurate calculated<br />
lengths come via applying the re-calculation and<br />
correction procedure on some regular iteration<br />
bases. Thus, the optimum berth lengths to get<br />
both navigation safety and economic options can<br />
be accurately determined.<br />
3.2.Evaluation of the Optimum<br />
Capacity for an Anchorage Zone with a<br />
Certain Area<br />
To evaluate the optimum capacity for an anchorage<br />
zone with a certain area to be able to accommodate<br />
a dedicated number of vessels in one<br />
time, the Harboursim-student version simulation<br />
model calculates the accumulated probability of<br />
Table 2: Main characteristics for the accommodated fleets and<br />
the approximate evaluated berth lengths based on the simulation results
occurrence (%) for each case separately to accommodate<br />
this dedicated number of vessels<br />
[PMS, 2001]. The main base is to make the required<br />
estimation by evaluating the number of<br />
vessels that have been registered during one year<br />
in the quay anchorage. The difference in the probability<br />
of occurrence (%) can also be calculated<br />
via feeding the simulation model with the annual<br />
average number for the accommodated vessels<br />
in this anchorage area in similar port cases and<br />
their occurrence percentages. This can be practically<br />
applied based on the available data in the<br />
databases. Thus, the selection for the anchorage<br />
areas capacities can be determined on the basis<br />
of the accumulated probability of occurrence. Fig.<br />
Fig. 3: Relationship between the numbers of vessels and<br />
their associated occurrence intensity<br />
37<br />
3 presents the relationship between the number<br />
of vessels and their associated occurrence intensity.<br />
Table 3 presents the accumulated occurrence<br />
probabilities and their differences in the percentages<br />
of occurrence probabilities (%). Based on<br />
the previous, the capacity for the anchorages with<br />
certain areas can be accurately determined.<br />
3.3. Evaluation of the Berth Lengths and<br />
Optimum Capacity for the Anchorage,<br />
Considering the Effect of Tidal Windows<br />
To check the effect of considering the tidal windows<br />
on the waiting times, they were taken into<br />
* H.D.P. = High difference in probability of occurrence. * A. D.P. = Average difference in probability of occurrence.<br />
* S. D.P. = Small difference in probability of occurrence. * V.S. D.P. = Very small difference in probability of occurrence.<br />
* M. D.P. = Minor difference in probability of occurrence.<br />
Table 3: Accumulated percentages of occurrence probabilities and their associated difference percentages (%)<br />
to evaluate the anchorage capacity with certain areas<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Table 4: Allowed times for vessels to go (in-out the port) according to the allowed tidal windows<br />
consideration for the cases of the two fleets for<br />
container vessels. For these fleets, the current velocity<br />
(horizontal tide means cross currents) can<br />
change the vessels bath in case of high speeds.<br />
This way, they are very sensitive to it (may cause<br />
big waiting times, which is not acceptable for container<br />
vessels fleet) and it should be taken into<br />
consideration. Benefits from the tidal windows<br />
effects (both vertical and horizontal ones), are<br />
caused by either/both the tide variation or/and current<br />
speed, respectively. Thus, the high water levels<br />
can help to accommodate vessels with bigger<br />
drafts and therefore the small currents can help<br />
to accommodate vessels with small Dead Weight<br />
Tonnages (DWT). The intersection period for the<br />
two windows can also be invested for some dedicated<br />
types of vessels passing (as in the condition<br />
of high water level and small current velocity).<br />
This helps to reduce the waiting times to the acceptable<br />
minimum. In case the tidal windows will<br />
be considered, all tidal cycles are allowed in both<br />
vessels entry and departure operations. The simulation<br />
process included one year (365 days) as<br />
well. Table 4 presents the allowed times for vessels<br />
(entry/departure of the port) according to the<br />
allowed tidal windows.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
38<br />
4. RESULTS AND DISCUSSION<br />
4.1. Evaluated Berth Lengths<br />
The last column in Table 2 presents the evaluated<br />
length (m) for the different accommodated<br />
fleets. Figures 4 through 7 present the evaluated<br />
optimum quay lengths for the two cases without<br />
and with considering the effect of tidal windows<br />
respectively (as will be discussed in detail afterwards).<br />
They represent the progressing waiting<br />
time during the simulation process. For the simulation<br />
results, a remarkable increase in the waiting<br />
times for the container vessels fleets (1) & (2)<br />
can be recognised as presented in Figures 4 and<br />
5. From the simulation results, it can be clearly<br />
recognised that for the first 20 % of time (approximately<br />
the first 73 days of the year), the results are<br />
variable and still not completely stable. After this<br />
period, the results started to stabilise. The waiting<br />
times approximately doubled from (10 % to 20 %)<br />
from the service times. This occurred because the<br />
allowed times for vessels entry/departure were reduced.<br />
For the cases of both dry bulk and general<br />
cargo fleet, the waiting times slightly increased.<br />
This is due to the increase of the waiting times for<br />
the other two fleets.<br />
Fig. 4: Waiting times in units of average service times for the accommodated vessels of the fleet (Container-1)
Fig. 5: Waiting times in units of average service times for the accommodated vessels of the fleet (Container-2)<br />
Fig. 6: Waiting times in units of average service times for the accommodated vessels of the fleet (Dry Bulk)<br />
Fig. 7: Waiting times in units of average service times for the accommodated vessels of the fleet<br />
(General Cargo)<br />
39<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
4.2. Evaluated Anchorage<br />
Zones Capacity<br />
From the simulation model results, it can be recognised<br />
that the dedicated area can be used,<br />
based on the assumption that four vessels can be<br />
accommodated at the same time. The reason is<br />
that the accumulated probability for occurrence<br />
for this event equals approximately 99.20 %. This<br />
accumulated occurrence probability exceeds the<br />
one of the possibility of the three vessels existing<br />
together with a difference in the probability of an<br />
event of approximately 2.5 %.<br />
From the simulation results, four vessels at the<br />
same time can be accepted as a capacity for the<br />
anchorage. This means that the anchorage zone<br />
will be able to receive them (or less number of<br />
vessels). This came associated to an accumulated<br />
occurrence probability of 99.20 % and it happens<br />
197 times/year. Accepting the option for a capacity<br />
of five vessels at the same time (associated to<br />
accumulated occurrence probability of 99.99 %)<br />
will not make much improvements, but will cost<br />
more money without any direct benefit.<br />
Increasing the waiting times for the container fleets<br />
can only be accepted in case of vessels with big<br />
drafts, which cannot enter/departure the port in<br />
the case of, for example, low water level (‘LWL’).<br />
The problem of increasing the waiting times for<br />
container fleet can be solved via increasing the<br />
berth length. Hence, the available room to accommodate<br />
and thereby quickly serve the vessels will<br />
help to achieve that target. Another good solution<br />
is to use the berths of the general cargo terminal<br />
to accommodate the container vessels as well.<br />
Thus, the waiting times for the container fleets will<br />
be dramatically reduced and therefore the service<br />
improved. Priority of entrance/departure for the<br />
container fleets vessels (traffic rules) is a quite<br />
good solution to reduce their waiting times (carry<br />
out two functions).<br />
To ensure the simulation results’ accuracy for<br />
the berth lengths of the different terminals and<br />
anchorage areas capacity, the real-time simulation<br />
techniques should be applied and accurately<br />
treated via applying the cases in a real-time simulator<br />
complex. The real-time simulation experiments<br />
will ensure the evaluated berths lengths<br />
and anchorage zones areas. Such experiments<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
40<br />
should be carried out by the local pilots in the port<br />
area (in general conditions). They will really use<br />
the port with their available skills and capabilities.<br />
Based on the obtained simulation results, the required<br />
modifications for these found lengths and<br />
areas can be determined and practically applied.<br />
This will help to make the port work attitude in the<br />
optimum conditions for the maritime requirements<br />
(as berthing/de-berthing, cargo handling on berth,<br />
occupancy factors, waiting times, etc.).<br />
5. CONCLUSIONS<br />
The port simulation model (Harboursim-student<br />
version) was applied to evaluate the optimum<br />
berth lengths for the four accommodated fleets<br />
(Container-1, Container-2, General Cargo and<br />
Dry Bulk). The optimum lengths to accommodate<br />
vessels of the different fleets for each case were<br />
determined, considering waiting times of 10 %, 10<br />
%, 30 % and 30 % of service times for the four<br />
fleets respectively. The effect of tidal windows was<br />
not considered in the simulation inputs. Both windows<br />
were taken into consideration as time series<br />
data (both tides and current speeds) in the<br />
port entrance area. The evaluated berths lengths<br />
for the vessels lengths (‘LOAContainr-1’ equals<br />
205m, ‘LOAContainr-2’ equals 205 m, ‘LOADry<br />
Buk’ equals 195 m and ‘LOAGeneral’ Cargo<br />
equals 180 m) equal 350 m, 350m, 300m and<br />
250m respecitively.<br />
For the evaluation of the optimum capacity for the<br />
anchorage zone, the simulation results gave a direction<br />
to the suitability to accommodate four vessels<br />
at the same time (evaluated optimum lengths<br />
for the vessels of the four fleets were considered).<br />
This is associated to an accumulated occurrence<br />
probability of approximately 99.20 %. This occurs<br />
as using the option of accommodating five vessels<br />
together in the anchorage zone will give an accumulated<br />
occurrence probability of 99.90 %, with a<br />
difference of only 0.70 %. This option is considered<br />
uneconomic in case of comparison with the<br />
little difference in occurrence probability.<br />
Afterwards, the effect of tidal windows existence<br />
was considered in the simulation. It was shown<br />
that the waiting times in units of service times<br />
were approximately doubled for the cases of the<br />
two container fleets (from 10 % to 20 % of service<br />
times in average approximately). These times
were slightly affected in case of both dry bulk and<br />
general cargo vessels fleets.<br />
6. ACKNOWLEDGEMENTS<br />
Thanks to Allah for giving the power and the<br />
knowledge. Deep thanks to my family for the continuous<br />
encouragement. I would like to express<br />
my gratitude to my professors, who gave me the<br />
favour of teaching coastal and port engineering<br />
subjects. Many thanks for the great international<br />
scientific conference, <strong>PIANC</strong>-COPEDEC VIII<br />
2012 in Chennai, India, for support and for giving<br />
me the chance to express my effort and present<br />
this post doctoral research in the international<br />
framework.<br />
7. REFERENCES<br />
Blaauw, H.G., Koeman, J.W. and Strating, J.<br />
(1981): “Nautical contribution to an integrated port<br />
design”, Delft Hydraulics, The Netherlands.<br />
Blaauw, H.G. (1985): “Applicability of simulation<br />
models in design of ports in developing countries”,<br />
International Navigation Congress (<strong>PIANC</strong>), Brussels,<br />
Belgium.<br />
Groenveld, R. (1983): “The use of discrete computer<br />
simulation models for harbours in developing<br />
countries”, Conference of Coastal and Port Engineering<br />
in Developing Countries (COPEDEC),<br />
Colombo, Sri Lanka.<br />
Groenveld, R. (1993): “Service systems in ports<br />
and inland waterway”, Lecture notes Delft University<br />
of Technology, Delft, The Netherlands.<br />
Groenveld, R. (2000): “A simulation tool to assess<br />
nautical safety”, The international workshop on<br />
harbour, maritime & multimodel logistics modelling<br />
and simulation (HMS-2000), Portofino, Italy.<br />
Groenveld, R. (2003): “A simple method to assess<br />
nautical risks”, The International Conference<br />
for Coastal and Port Engineering in Developing<br />
Countries (COPEDEC), Colombo, Sri Lanka.<br />
Port and Maritime Systems Simulation – PMSS<br />
(2001): “Software Harboursim model user manual<br />
software – Student version”, The Netherlands.<br />
41<br />
Ligteringen, H. et al. (2000): “Ports and terminals”,<br />
Technical University of Delft (TU Delft), The Netherlands.<br />
<strong>PIANC</strong> (1992): “Container transport with inland<br />
vessels, Report of working group- V”, Brussels,<br />
Belgium.<br />
<strong>PIANC</strong> (1996): “Standardization of ships and inland<br />
waterways for rivers/sea navigation”, Report<br />
of Working Group 16”, Brussels, Belgium.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Simulation of entry, departure and main manoeuvring<br />
procedures are considered important to select<br />
a final planning through a group of proposed<br />
alternatives for the case of commercial ports and<br />
to carry out the compulsory modifications to ensure<br />
navigation safety. With the rapid development<br />
in the fields of both computers and programming<br />
by using simulation languages, the basic manoeuvring<br />
can be mathematically simulated by using<br />
some representative statistical distributions, such<br />
as ‘Earlang distribution’, which is the quite realistic<br />
representative for the queue theory. This theory<br />
is considered acceptable to organise the entry or<br />
departure of vessels, except for container fleets,<br />
which cannot be subject to waiting times. In this<br />
research, it handled a case of a commercial port,<br />
which consists of four terminals. Two of them are<br />
meant for container handling and the other two are<br />
for both dry bulk and general cargo handling activities.<br />
The simulation study was carried out by using<br />
the mathematical model ‘Harboursim’, simulating<br />
the expected fleets for the accommodated vessels<br />
from different types. The optimum required waiting<br />
times for the container vessels fleets should<br />
be equal or very close to zero, as their waiting is<br />
considered uneconomic and so practically unacceptable.<br />
Practically, the maximum allowed waiting<br />
times as a percentage of service times for container<br />
fleets equal ’10 %, approximately’. Both for<br />
dry bulk and general cargo fleets, its upper bound<br />
is close to 30 % of service times.<br />
SUMMARY<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 42<br />
In the berth lengths evaluation, the most important<br />
simulated factors are berth occupancy (%), average<br />
service times for the accommodated vessels<br />
in the port, annual number of them for each fleet<br />
and maximum design length and width for the<br />
accommodated vessels for each fleet. The main<br />
idea in calculation by using the simulation model<br />
is carrying out a group of runs to calculate the optimum<br />
length for berths, which is able to apply the<br />
allowed waiting times as units of service times (%)<br />
for each accommodated fleet or quite less. Based<br />
on that, the final evaluation for berths lengths (m)<br />
can be determined.<br />
Besides that, the simulation model can evaluate<br />
the capacity of anchorage areas to accommodate<br />
a certain number of vessels at the same time. This<br />
comes via balance between both ensuring the<br />
navigation safety and the economic aspects. To<br />
evaluate the optimum capacity for an anchorage<br />
zone with a certain area to accommodate a certain<br />
number of vessels at the same time, the simulation<br />
model calculates the accumulated probabilities<br />
for events occurrence (%) for each case<br />
separately and practically apply them through the<br />
available database or the port. The study recommended<br />
that to decrease the waiting times for the<br />
accommodated fleets and so increasing the handling<br />
works efficiency, a group of practical conclusions<br />
can be applied. The simulation study gave<br />
the suitable number of vessels to be accommodated<br />
together in the studied anchorage zone.
Pour les ports de commerce, la simulation des arrivées,<br />
des départs et des principales procédures<br />
de manœuvre est jugée d’importance vitale dans<br />
le choix de l’aménagement final parmi les alternatives<br />
proposées. Avec le développement rapide<br />
des techniques de calcul informatique et de la<br />
programmation par l’utilisation de langages de<br />
simulation, les manœuvres de base peuvent être<br />
mathématiquement simulées en utilisant des distributions<br />
statistiques représentatives assez réalistes<br />
de la théorie des files d’attentes, à l’exception<br />
des porte-conteneurs qui ne tolèrent quasiment<br />
aucune attente. Cette étude aborde le cas d’un<br />
port de commerce, composé de quatre terminaux.<br />
Deux d’entre-eux sont dédiés à la manutention<br />
des conteneurs et les deux autres à la manutention<br />
conjointe de pondéreux et de marchandises<br />
diverses. L’étude de simulation a été menée avec<br />
le modèle mathématique (Harboursim - version<br />
étudiant) en simulant la flotte attendue pour les<br />
différents types de bateaux accueillis. Les temps<br />
d’attentes optimaux requis pour les porte-conteneurs<br />
devraient être nuls ou très proches de zéro,<br />
puisque leur attente est jugée non-économique<br />
et donc pratiquement inacceptable. En pratique,<br />
le temps d’attente maximal des porte-conteneurs<br />
autorisé est d’environ 10 % du temps de service.<br />
Pour les navires de marchandises diverses et de<br />
pondéreux, la limite supérieure du temps d’attente<br />
est proche de 30 % du temps de service.<br />
Pour l’évaluation des longueurs de quais, les facteurs<br />
les plus importants sont le taux d’occupation<br />
des quais, le temps de service moyen des navires<br />
RéSUMé<br />
43<br />
accueillis par le port, leur nombre annuel prévu<br />
et la longueur et largeur maximales des navires<br />
accueillis. L’idée principale de la simulation est<br />
de mener une série de calculs pour déterminer la<br />
longueur optimale des quais respectant les temps<br />
d’attente autorisés ou moins en pourcentage de<br />
temps de service pour chaque flotte de navires<br />
accueillie. En se basant sur cela, ont peut déterminer<br />
l’évaluation finale des longueurs de quais<br />
(m). Les graphiques (1 à 4) représentent respectivement<br />
les temps d’attentes (temps de service<br />
moyen) des navires porte-conteneurs (1) et (2),<br />
pondéreux et marchandises diverses accueillis.<br />
Par ailleurs, le modèle de simulation peut évaluer<br />
la capacité des zones de mouillage à recevoir un<br />
certain nombre de bateaux simultanément. Ceci<br />
découle d’un arbitrage entre la sécurité de la navigation<br />
et des aspects économiques. Pour évaluer<br />
la capacité optimale d’une zone de mouillage<br />
d’une surface à accueillir simultanément un certain<br />
nombre de navires, le modèle de simulation<br />
calcule les probabilités d’occurrence conjointe<br />
d’évènements (%) pour chaque cas, séparément.<br />
En pratique, ils peuvent être mis en place grâce<br />
aux données disponibles dans le port. L’étude a<br />
recommandé de réduire les temps d’attente des<br />
flottes accueillies et donc d’améliorer l’efficacité<br />
de la manutention. L’étude de simulation a donné<br />
le nombre de navires pouvant être accueillis simultanément<br />
dans la zone de mouillage étudiée.<br />
Une autre série de conclusions pratiques est proposée<br />
et peut être appliquée.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Die Simulation von Ein- und Ausfahrten und<br />
Manövriervorgängen wird für Handelshäfen mit<br />
großer Bedeutung betrachtet, um die endgültige<br />
Planungsvariante aus einer Gruppe von vorgeschlagenen<br />
Alternativen auszuwählen. Durch<br />
die schnelle Entwicklung sowohl im Bereich von<br />
Computer-Techniken als auch im Bereich der Programmierung<br />
unter Anwendung von Simulations-<br />
Sprachen können Manövriervorgänge mathematisch<br />
simuliert werden, indem einige repräsentative<br />
statistische Verteilungen als recht realistische<br />
Platzhalter für die Warteschlangen-Theorie verwendet<br />
werden. Eine Ausnahme bilden hierbei<br />
Containerschiffflotten, für die in der Praxis keine<br />
Wartezeiten akzeptiert werden können. Diese<br />
Studie behandelt den Fall eines Handelshafens,<br />
der aus vier Terminals besteht. Zwei von ihnen sind<br />
für die Abwicklung von Container-Schiffen bestimmt,<br />
die anderen beiden sowohl für die Abwicklung<br />
von Schiffen für trockene Massengüter als auch<br />
von Schiffen für allgemeine Handelsfracht. Die<br />
Simulationsstudie wurde unter Anwendung des<br />
mathematischen Modells (Harboursim Studenten-Version)<br />
durchgeführt, indem das zu erwartende<br />
Aufkommen der verschiedenen Schiffstypen<br />
simuliert wurde. Die optimale Wartezeit für Containerschiffe<br />
sollte gleich oder nahe Null sein, da<br />
das Warten als unökonomisch und so praktisch<br />
als unakzeptabel angesehen wird. Praktisch entspricht<br />
die maximal zulässige Wartezeit 10 % der<br />
Abfertigungszeit für Containerschiffe. Sowohl für<br />
die Schiffe für trockene Massengüter als auch für<br />
Schiffe mit allgemeiner Handelsfracht beträgt die<br />
Obergrenze der Wartezeit fast 30 % der Abfertigszeit.<br />
Bei der Evaluierung der Länge der Anlagestellen<br />
sind die wichtigsten, simulierten Faktoren (% der<br />
ZUSAMMENFASSUNG<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 44<br />
Belegung der Anlegestellen): durchschnittliche<br />
Abfertigungszeiten für die Schiffe im Hafen, die<br />
angenommene Anzahl pro Jahr und die maximale<br />
Länge und Breite der Schiffe. Die Hauptidee<br />
bei der Berechnung unter Anwendung des<br />
Simulationsmodels ist es, eine Reihe von Läufen<br />
durchzuführen und so die optimale Länge für Anlegestellen<br />
zu bestimmen, die in der Lage ist, die<br />
zugelassenen Wartezeiten in Bezug auf die Abfertigungszeiten<br />
(%) für jeden Schiffstyp anzuwenden.<br />
Darauf basierend kann die endgültige Evaluierung<br />
der Längen der Anlegestellen (m) bestimmt<br />
werden. Die Abbildungen 1 bis 4 repräsentieren<br />
die Wartezeiten in Einheiten der durchschnittlichen<br />
Abfertigungszeiten für die entsprechenden<br />
Schiffe der Containerflotte (1) und (2), für trockene<br />
Massengüter und für Handelsfracht analog.<br />
Daneben kann das Simulationsmodell die Kapazität<br />
der Ankerplätze evaluieren, um Platz für eine<br />
bestimmte Anzahl von Schiffen zur gleichen Zeit<br />
vorzusehen. Dies wird erreicht, indem ein Gleichgewicht<br />
hergestellt wird zwischen der Sicherheit<br />
der Schifffahrt und den ökonomischen Aspekten.<br />
Um die optimale Kapazität in der Anlegezone für<br />
eine bestimmte Anzahl von Schiffen zur gleichen<br />
Zeit zu berechnen, kalkuliert das Simulationsmodell<br />
die Eintrittswahrscheinlichkeit für das Auftreten<br />
(%) eines jeden Falles separat. In der Praxis können<br />
sie auf die für den Hafen verfügbare Datenbasis<br />
angewendet werden. Die Studie empfahl eine<br />
Verringerung der Wartezeiten der entsprechenden<br />
Schiffe und so eine Erhöhung der Effizienz bei<br />
den Abwicklungsarbeiten. Die Simulationsstudie<br />
zeigte die geeignete Anzahl an Schiffen auf, die<br />
zusammen in der untersuchten Ankerzone liegen<br />
können. Weitere praktische Schlüsse werden geliefert<br />
und können angewendet werden.
AN ANALYSIS OF VESSEL BEHAVIOUR<br />
BASED ON AIS DATA<br />
T.M. DE BOER<br />
Engineer, Consultant Maritime<br />
& Waterways,<br />
Royal HaskoningDHV<br />
Tel.: +31 88 348 22 31<br />
E-mail: thijs.de.boer@rhdhv.com<br />
KEY WORDS<br />
vessel Traffi c Model, AIS Data, Vessel Behaviour,<br />
Statistical Analysis, Ports and Waterways<br />
MOTS-CLEFS<br />
modèle de trafi c de navire (VTM), donnée AIS,<br />
comportement du navire, analyse statistique,<br />
ports et voies navigables<br />
1. INTRODUCTION<br />
In the last decades seaborne trade has increased<br />
considerably. This has led to higher traffi c intensities<br />
in port areas and waterways. With this higher<br />
intensity, safety issues have come up. A Vessel<br />
Traffi c Model (VTM) is a valuable tool to increase<br />
safety in ports and waterways with a very dense<br />
traffi c. Such a model is benefi cial for planning and<br />
design, but also for operational guidance.<br />
The main challenge for an improved VTM is that it<br />
results in sound statistical distributions of the vessel<br />
traffi c in the cross section of the waterway and<br />
to better predict the behaviour of two vessels before<br />
and during encounters. Of particular interest<br />
is the representation of the human behaviour of<br />
the bridge team, as this is a determining factor in<br />
the vessel behaviour. A good representation is diffi<br />
cult to obtain, as it depends on various (human)<br />
by<br />
45<br />
W. DAAMEN<br />
Doctor Engineer,<br />
Assistant Professor Transport &<br />
Planning, TU Delft,<br />
Tel.: +31 (15) 27 85 927<br />
E-mail: w.daamen@tudelft.nl<br />
factors such as experience and stress level on the<br />
bridge.<br />
The research towards these challenges might be<br />
facilitated by data from the Automatic Identifi cation<br />
System (AIS). Since 2004 all seagoing vessels<br />
over 300 Gross Tonnage (GT) are obliged to be<br />
equipped with AIS [4]. Equipped with AIS a vessel<br />
sends out messages on a regular base, containing<br />
information regarding the vessel’s speed, position,<br />
heading, name, destination, etc. These messages<br />
can be received by other vessels. The information<br />
is then made visible on the navigational displays<br />
of the ship, supplying more (detailed) information<br />
on the vessels nearby, additional to the radar image.<br />
Also port authorities can receive the messages<br />
and use them for traffi c management purposes<br />
as an addition to the radar data [2].<br />
By providing real-time information, AIS improves<br />
the safety of navigation and assists in traffi c management.<br />
The AIS data can also be used to investigate<br />
the vessel behaviour in cross sections<br />
and during encounters. Vessels send out AIS<br />
messages every 2-10 seconds, thereby creating a<br />
huge amount of data [3]. This makes it possible to<br />
perform statistical analyses of the vessel behaviour,<br />
including the human behaviour of the bridge<br />
team.<br />
This article is based on an MSc-study [1] that was<br />
performed at the Delft University of Technology,<br />
in co-operation with Marin (Marine Research Institute<br />
Netherlands) and Port of Rotterdam. The<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
study was done in preparation of a large research<br />
project on the development of an improved VTM,<br />
such as described above. The aim is to verify that<br />
AIS data can be used to derive generalised distributions<br />
of the vessel behaviour, as a function of<br />
the waterway geometry, vessel type, vessel size,<br />
external conditions, etc.<br />
This study focuses on one specific route within a<br />
port area, for which a thorough analysis is made of<br />
the vessel behaviour. This paper starts with a site<br />
description of the investigated area. Secondly, the<br />
research methodology is described, divided into<br />
different steps. After this, the results are given for<br />
respectively the influence of the vessel size, the<br />
fitting of standard distributions, the influence of<br />
external circumstances and the set-up of generic<br />
distributions. Finally conclusions and recommendations<br />
for further research are given.<br />
2. SITE DESCRIPTION<br />
The aim of the study is to find generalised distributions<br />
of the vessel behaviour, by using AIS data.<br />
To limit the number of AIS data the study focuses<br />
on one specific route. The chosen route should<br />
meet the following requirements:<br />
- Degree of AIS presence<br />
The presence of many vessels without AIS (e.g.<br />
inland vessels, fishing and pleasure boats) disturbs<br />
the AIS picture. For example, interaction<br />
between two vessels cannot be seen if one of<br />
the vessels is not equipped with AIS. It is there-<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
46<br />
fore preferred that the chosen route should have<br />
a high degree of AIS presence.<br />
- Type of vessel<br />
Every type of vessel (dry bulk, container, general<br />
cargo, etc.) has a different behaviour. It<br />
should be easy to select one vessel type and<br />
only investigate the behaviour of this type. In<br />
this way the differences in behaviour between<br />
vessel types do not influence the statistical<br />
analysis.<br />
- Vessel traffic intensity<br />
The statistical analysis should reach a sufficient<br />
level of significance. Therefore, it is needed to<br />
include enough vessels tracks in the analysis. A<br />
port area with a high intensity is beneficial because<br />
a lot of tracks can be collected in a short<br />
period and the highest amount of interaction between<br />
vessels is found.<br />
- Range of vessel size<br />
To investigate the influence of vessel size on<br />
vessel behaviour, it is beneficial that a large<br />
range of vessel sizes sails along the chosen<br />
route.<br />
- Infrastructure<br />
Along the chosen route, vessels should meet<br />
different waterway geometries, such as wider<br />
and smaller channels and a bend. The influence<br />
of the waterway geometry can then be included<br />
in the generalised distributions.<br />
Based on the requirements above a route is chosen:<br />
between the North Sea and the Amazonehaven.<br />
The Amazonehaven is a harbour basin in<br />
the port of Rotterdam Maasvlakte 1 area, see Fig. 1.<br />
Fig. 1: Overview of the Port of Rotterdam, the Maasvlakte I area is indicated by the red circle
The Amazonehaven complies very well with the<br />
requirements mentioned above. The degree of<br />
AIS presence is high, as it lies in the most western<br />
part of the port and is mainly visited by large seagoing<br />
vessels that are all equipped with AIS. Only<br />
container vessels visit the Amazonehaven, so the<br />
behaviour of this type of vessels can be analysed.<br />
The behaviour of other types of vessels is not considered<br />
in this study.<br />
There is a large difference in size range of the<br />
container vessels visiting the Amazonehaven,<br />
from 10,000 dwt up to larger than 100,000 dwt.<br />
Fig. 2 shows this route. There are several interesting<br />
waterway segments along the route, which<br />
makes it possible to include the influence of the<br />
waterway geometry:<br />
1. Northern breakwater: the current and wave regime<br />
is different inside and outside the protection<br />
of the breakwater.<br />
2. Maasmond: As this is the main channel towards<br />
the port of Rotterdam, there is a lot of<br />
47<br />
expected interaction with other vessels. This is<br />
also the location where tugs fasten, if needed.<br />
3. Beerkanaal: Vessels have to make a turning<br />
manoeuvre into or out of the Beerkanaal. This<br />
gives insight into vessel behaviour in bends.<br />
In this study AIS data are used from the port of<br />
Rotterdam area. These data were obtained from<br />
Marin and The Netherlands Coastguard, which<br />
collects the AIS messages.<br />
For this study AIS data are used from 8 (different)<br />
months in 2009 (February, March, April, July, August,<br />
October, November and December). These<br />
months are chosen to obtain information from different<br />
seasons. As described before, the data resolution<br />
depends on the vessel speed and ranges<br />
from 2 to 10 seconds. Taking into account a typical<br />
vessel speed of 10 knots (~5 m/s), at least every<br />
50 metres a message is sent.<br />
The total amount of AIS messages used for this<br />
study is approximately 4.1 million.<br />
Fig. 2: The chosen route (red line) between the North Sea and Amazonehaven<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
3. RESEARCH METHODOLOGY<br />
As described in the introduction the main aim of<br />
the research is to use AIS data to analyse individual<br />
vessel behaviour in order to come up with generic<br />
rules for vessel behaviour in port areas. The<br />
methodology to come from raw AIS messages to<br />
such generic rules consists of the following steps:<br />
1. Collecting raw AIS data<br />
2. Data processing (cleaning and preparing for<br />
the analyses)<br />
3. Comparison of vessel tracks and vessel<br />
speed<br />
4. Identify influence of vessel size<br />
5. Derive theoretical distributions<br />
6. Identify influence of external circumstances<br />
7. Derive generic rules<br />
In the following each of the steps is discussed in<br />
more detail.<br />
3.1. Collecting Raw AIS Data<br />
The 8 month AIS data collection is done by selecting<br />
the AIS messages that have been sent by<br />
the vessels that visited the Amazonehaven during<br />
the selected months. However, some processing<br />
is needed before they can be used for statistical<br />
analysis. Out of every AIS message the following<br />
information is selected:<br />
- Maritime Mobile Service Identity (MMSI) number<br />
- International Maritime Organisation (IMO) number<br />
- Location of antenna position<br />
- Ship’s position (latitude and longitude)<br />
- Time of message<br />
- Speed over ground (SOG)<br />
- Heading<br />
3.2. Data Processing<br />
The (main) aim of the data processing is to transform<br />
the raw AIS messages into vessel tracks that<br />
can be analysed. The first steps are the transformation<br />
of the co-ordinate reference system (from<br />
a geographical to metric system) and correction<br />
for the antenna position on the vessel. After this,<br />
the AIS messages from the same vessel are combined<br />
to individual vessel tracks. Then, the tracks<br />
of the vessels between North Sea and Amazonehaven<br />
are selected.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
48<br />
After performing these steps, a total of 805 incoming<br />
(from open sea to Amazonehaven) and<br />
663 outgoing (from Amazonehaven to open sea)<br />
tracks is available for analysis.<br />
3.3. Comparison of Vessel Tracks<br />
and Vessel Speed<br />
To investigate the influence of different factors,<br />
such as vessel size and external circumstances,<br />
the tracks are compared to each other. This is<br />
done as follows:<br />
The route (between North Sea and Amazonehaven)<br />
is split into several grid points. The distance<br />
between the grid points is 50 metres. The<br />
difference between two tracks is determined at<br />
every grid point, see Fig. 3.<br />
Fig. 3: Calculating differences between two tracks<br />
The distances between the vessel tracks are plot<br />
in a cumulative probability distribution function<br />
(Fig. 4). From this graph the 95 % confidence interval<br />
is determined. An example is shown in Fig.<br />
4 on the next page. These intervals give an indication<br />
how well the data sets match.<br />
The accuracy of the dataset is analysed by comparing<br />
tracks from the same data set with each<br />
other. 95 % confidence intervals are determined,<br />
as described above. It is found that the accuracy<br />
of the average path is +/- 30 metres. The accuracy<br />
of the vessel speed is +/- 6.5 %. These values<br />
are taken as a maximum, conservative limit.<br />
Differences in position and vessel speed that are<br />
larger than these values are seen as significant<br />
influences, and thus not due to random variation,<br />
but due to differences in vessel behaviour.
Fig. 4: An example of a cumulative probability<br />
distribution function of the distances between two<br />
average tracks<br />
3.4. Influence of Vessel Size<br />
The influence of vessel size on vessel behaviour<br />
is determined in two steps:<br />
- Assigning size classes<br />
Table 1: Number of tracks in each vessel size class<br />
A division into size classes is made. This division<br />
is made in such a way that roughly the<br />
same amount of tracks is available for each size<br />
class. This way the same order of accuracy can<br />
be achieved in the statistical analysis for every<br />
size class. Exception is the smallest size class,<br />
containing about two times as many tracks. The<br />
49<br />
reason for this is the expected larger variation<br />
in the behaviour of smaller vessels. Therefore,<br />
more vessel tracks are needed to reach the<br />
same amount of accuracy and significance in a<br />
statistical analysis. Table 1 shows the number<br />
of tracks in each size class.<br />
- Determine influence of vessel size<br />
The average tracks for all size classes are compared<br />
to each other. The differences are calculated<br />
in the same way as described above: the<br />
average track is calculated for a size class and<br />
then compared to the average track for a second<br />
size class. The same procedure is followed<br />
for the average speed. In this way insight is obtained<br />
into the relation between the vessel size<br />
and the average track and vessel speed.<br />
Furthermore, a detailed look is given at the vessel<br />
location and vessel speed distribution at cross<br />
sections over the waterway. Four cross sections<br />
are taken for this purpose, at characteristic locations<br />
between open sea and the Amazonehaven<br />
(see Fig. 5):<br />
1. Port entrance<br />
2. Maasmond<br />
3. Bend into the Beerkanaal<br />
4. Beerkanaal<br />
Fig. 5: Locations of the cross sections that are<br />
investigated in this study<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
3.5. Derive Theoretical Distributions<br />
Both the distributions describing the lateral position<br />
of vessels in the cross section and the vessel<br />
speed distributions over the cross sections in<br />
the waterway are investigated in relation to vessel<br />
size. The goal of the study is to find generic rules<br />
to describe vessel behaviour. In order to achieve<br />
this, the derived empirical distributions should be<br />
transformed to standard distributions described<br />
by standard parameters.<br />
In other words, it is tried to fit a standard distribution<br />
at the empirical distributions. Different theoretical<br />
distributions will be evaluated to find a good<br />
fit. When an accurate distribution is found, the parameters<br />
(mean, deviation) are estimated for every<br />
size class and cross section.<br />
3.6. Influence of External Circumstances<br />
The influence of three external circumstances is<br />
investigated: wind, current and visibility. The influence<br />
of waves is not investigated as the largest<br />
part of the route is inside the protected port area,<br />
where the wave influence is expected to be relatively<br />
small.<br />
Wind<br />
Wind data are available from the Royal Netherlands<br />
Meteorological Institute (KNMI) over 2009,<br />
with an hourly interval.<br />
Fig. 6: Splitting the track North Sea -<br />
Amazonehaven into two tracks.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
50<br />
The route from open sea to the Amazonehaven<br />
is split up into two parts: ‘Maasmond’ and ‘Beerkanaal’<br />
(Fig. 6). This division is made because<br />
the heading of vessels is quite different in these<br />
parts.<br />
The influence of wind speed is also evaluated.<br />
Again, the three wind classes are defined in such<br />
a way that every class has about the same amount<br />
of vessel tracks. The formulated wind speed classes<br />
are shown in Table 2.<br />
Current<br />
Table 2: Wind speed classes<br />
Current data are obtained from the port of Rotterdam.<br />
Data are available for 10 important locations<br />
along the trajectory, for normative tidal cycles<br />
and river discharges. By coupling these normative<br />
current data with water level measurements<br />
over 2009 (obtained from the Servicedesk Data of<br />
Rijkswaterstaat), the current regime over 2009 is<br />
obtained. As the moment in time at which a vessel<br />
sails its trajectory is known, the current the vessel<br />
was subjected to can be identified.<br />
Current varies both in time and in space. The<br />
variation in space is horizontal as well as vertical.<br />
The horizontal variation is simply caused by<br />
the port’s infrastructure. The vertical variation is<br />
mainly caused by the interaction between the river<br />
discharge (fresh water) and the tidal currents (salt<br />
water). Because of this interaction there are moments<br />
in time where the top layer and the lower<br />
layers of the water may even have opposite current<br />
directions.<br />
The track between the open sea and the Amazonehaven<br />
is split up into five parts. These parts<br />
are chosen because of their differences in current<br />
regimes:<br />
- Part 1: Important influence of tidal cross currents
- Part 2: Maasmond, the river discharge and tide<br />
generate currents parallel to the waterway<br />
- Part 3: Bend into the Beerkanaal, mainly cross<br />
currents<br />
- Part 4: Beerkanaal, very small current velocities<br />
- Part 5: Amazonehaven, currents are negligible<br />
Fig. 7 shows these parts and the locations where<br />
data were available. The current velocity is also,<br />
like for wind, split into three categories.<br />
Visibility<br />
Fig. 7: Part 1-5 for the calculation of the<br />
influence of current<br />
Visibility data over 2009 are obtained from the<br />
KNMI, with a resolution of one hour.<br />
The influence of visibility is more straightforward<br />
than the influence of wind and current. There is<br />
no variation in space, only in time. Next to this,<br />
most vessels meet sufficient visibility. Two situations<br />
are regarded: sufficient visibility and low<br />
visibility. In this study a low visibility is defined as<br />
a meteorological visibility that is lower than two<br />
kilometres.<br />
3.7. Generic Rules<br />
The final aim of the study is to see whether generic<br />
rules for vessel behaviour can be found. The<br />
theoretical distributions that are found (in step 4)<br />
51<br />
are made generally applicable. In other words,<br />
they are to be used for every port infrastructure<br />
and are not only valid for the investigated area in<br />
the port of Rotterdam. This means that standard<br />
distributions are formulated in cross sections over<br />
the waterway and the vessel speed. Depending<br />
on a port’s infrastructure, these distributions can<br />
be made location specific. The set-up of generic<br />
rules is done in two steps:<br />
Define infrastructural characteristics<br />
The route between open sea and the Amazonehaven<br />
is again split into five parts, similar to the<br />
ones used for the analyses of the influence of currents<br />
(Fig. 7).<br />
Every part of the route is schematised by defining<br />
the outer boundaries. These boundaries limit the<br />
channel at both sides, thereby defining the channel<br />
width (different for different cross sections). In<br />
most cases the outer boundaries are simply given<br />
by the delineation of the channel with buoys.<br />
Where there are no buoys, the contour lines of<br />
the vessel tracks are used (Fig. 8). These contour<br />
lines show what is seen by the bridge team as the<br />
representative width of the waterway, when there<br />
are no strict nautical, infrastructural restrictions.<br />
Fig. 8: Schematisation of part 1, outside the port’s<br />
breakwaters<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Determine generic behaviour<br />
Following the schematisation of the port’s infrastructure,<br />
the channel width is now known for every<br />
cross section in the schematised parts. The<br />
standard, theoretical distributions that are derived<br />
can now be made scalable. This is done by including<br />
the schematised width and type of the waterway<br />
segment.<br />
4. INFLUENCE OF VESSEL SIZE<br />
4.1. Influence on the Vessel Path<br />
Fig. 9 shows the difference in the average path<br />
between the smallest and largest size class, for<br />
vessels that leave the port. It can be seen that,<br />
obviously, the difference between the tracks is<br />
relatively low inside the port area and increases<br />
quickly when the ships are outside the breakwaters.<br />
Fig. 9 only shows the average trajectory of all<br />
vessels inside both size classes. This only makes<br />
it possibly to draw general conclusions concerning<br />
the influence of vessel size on location on the<br />
waterway. Including the lateral position of individual<br />
vessels on the waterway gives a more detailed<br />
insight. The lateral distribution is elaborated and<br />
explained in the following sections, the derivation<br />
of theoretical distributions and generic rules.<br />
Fig. 9: Average path for outgoing vessels, size classes<br />
100,000 dwt (blue line)<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
52<br />
4.2. Influence on the Vessel Speed<br />
There are quite some differences in vessel speed<br />
between the size classes. Fig. 10 gives an example<br />
of the average speed along the track for outgoing<br />
vessels of two size classes. On the X-axis<br />
the speed along the route from North Sea to Amazonehaven<br />
is shown. On the left Y-axis the vessel<br />
speed is given. On the right Y-axis the differences<br />
in percentage are given, in this case between the<br />
size classes 70,000-100,000 dwt and larger than<br />
100,000 dwt.<br />
Fig. 10: Speed development and the relative<br />
difference between the size classes<br />
70,000-100,000 dwt (green) and >100,000 dwt<br />
(black).<br />
The figure shows that the main speed differences<br />
can, in this case, be found between the North Sea<br />
and the entrance of the Beerkanaal, both in absolute<br />
and relative sense.<br />
Next to the differences between the size classes,<br />
it is also interesting to look at the development<br />
of the speed. Both graphs clearly show a similar<br />
development. Very striking is the speed dip just<br />
before the port entrance. This is only present in<br />
the graphs for outgoing vessels; incoming vessels<br />
(not in figure) do not show this dip. A practical<br />
explanation for this is that at this location the<br />
pilot leaves the vessel, as he has finished his job.
For incoming vessels the pilot embarks the vessel<br />
while it is further away from the port entrance.<br />
Also of interest is the strong speed reduction at<br />
the entrance of the Amazonehaven. This has to<br />
do with the fact that the vessels have to make a<br />
strong turn between the Amazonehaven and the<br />
Beerkanaal. The vessel speed during this manoeuvre<br />
is around 2 knots.<br />
An analysis such as shown in Fig. 10 is made for<br />
the differences between all size classes. In general,<br />
the vessel speed decreases as the vessel size<br />
increases: larger vessels sail slower. An exception<br />
to this is the comparison of the two highest size<br />
classes: 70,000-100,000 dwt and >100,000 dwt.<br />
The most probable explanation for this is that the<br />
vessels from the highest size class use in general<br />
more tugs. This increases their manoeuvrability,<br />
which enables them to sail with a larger speed<br />
through the port area.<br />
5. DERIVING THEORETICAL<br />
DISTRIBUTIONS<br />
This chapter handles the vessel distribution over<br />
the waterway. Theoretical distributions are fit on<br />
the empirical data sets. Also the distribution of the<br />
vessel speed is worked out.<br />
5.1. Spatial Distribution<br />
The results derived above give insight into the differences<br />
between the average track and the average<br />
speed of various size classes. Next step is<br />
to investigate the distribution of the vessels and<br />
the vessel speed over a cross section of the waterway.<br />
Fig. 11 shows a plot of all AIS messages<br />
that are sent by incoming vessels from the size<br />
class 70,000-100,000 dwt. The colours show the<br />
amount of AIS messages that sent from that specific<br />
location; thereby reflecting the amount of<br />
vessels that sail through this location. The figure<br />
clearly shows that the vessels are distributed over<br />
the waterway. At the North Sea, this distribution<br />
is relatively wide. The distribution constantly narrows<br />
towards the bend into the Beerkanaal.<br />
In the Beerkanaal the distribution describing the<br />
lateral position over a cross section of the waterway<br />
is ‘split’ into two parts. There is one ‘main’<br />
53<br />
path that most vessels choose. However, a second<br />
path, more to the west, is also visible. Between<br />
these two paths, almost no AIS messages<br />
are sent (white area), so it is clear that vessels<br />
choose one of the two paths and do not take the<br />
‘middle way’. An explanation for this is the way<br />
in which the vessels have to enter the Amazonehaven.<br />
Depending on what board most containers<br />
are to be (un)loaded, the vessels sail forwards or<br />
backwards into the Amazonehaven. This requires<br />
different manoeuvring, already in the Beerkanaal.<br />
A schematic impression of this is given in Fig. 12.<br />
Figure 11: Overview of all AIS messages sent from<br />
specific areas. Size class 70,000-100,000, ingoing<br />
vessels.<br />
Blue < 8 AIS messages, Yellow = 8-13 messages;<br />
Red = 14-30 messages; Black > 30 messages.<br />
Fig. 12: Difference in vessel path when sailing forwards<br />
(red) or backwards (blue) into the Amazonehaven.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
5.2. Vessel Distribution in Cross Sections<br />
For the cross sections shown in Fig. 5 the distributions<br />
of the vessels’ lateral positions are obtained<br />
for every size class. Through the different<br />
empirical distribution functions standard distribution<br />
functions are fitted. Different statistical tests<br />
are performed (e.g. skew, kurtosis and χ2-test) to<br />
see whether a normal distribution gives a good fit.<br />
These show that a normal distribution is a realistic<br />
approximation.<br />
Therefore, normal distributions have been defined<br />
for every data set, using the mean (μ) and standard<br />
deviation (σ) derived from the empirical data.<br />
An example of a fitted normal distribution is given<br />
in Fig. 13. This figure shows the empirical distribution<br />
(blue line) and the fitted normal distribution<br />
(red, dash-dotted line). For every fitted distribution<br />
also the coefficient of determination, the R2 value,<br />
is calculated to see how well the two distributions<br />
match. This value is given in the upper right corner<br />
of the graphs.<br />
5.3. Vessel Speed Distribution<br />
in Cross Sections<br />
In one cross section vessels from the same size<br />
class have different speeds. The distribution in a<br />
cross section gives more insight into these differ-<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
54<br />
ences. A similar exercise is performed as for the<br />
distribution of lateral positions of the vessels. Calculating<br />
skew and excess kurtosis, it is found that<br />
a normal distribution would give a good fit for the<br />
vessel speed as well. Fig. 14 shows the distribution<br />
of the vessel speed, for incoming vessels from<br />
size class 70,000-100,000, at the four cross sections<br />
that are looked at in this study (see Fig. 5).<br />
In Fig. 14 on the next page, it can be seen that<br />
the vessel speed decreases from 10.2 knots at<br />
the North Sea (cross section 1) to 6.0 knots in the<br />
bend towards the Beerkanaal (cross section 3).<br />
Between cross sections 3 and 4 (Beerkanaal), the<br />
vessel speed only slightly reduces. Interesting is<br />
that the width of the distribution also significantly<br />
decreases between the North Sea (σ = 1.9) and<br />
Beerkanaal (σ = 0.8), because the vessels converge<br />
in the confined waterways of the port area.<br />
At the North Sea, the vessel speed ranges approximately<br />
from 4 to 16 knots. In the Beerkanaal<br />
this has reduced to 4-8 knots, as the vessels<br />
speed converges towards a speed at which the<br />
Amazonehaven basin can be safely entered.<br />
5.4. Vessel Speed Related to Lateral<br />
Position in Cross Section<br />
The vessel speed distribution in a cross section<br />
describes the range and average vessel speed of<br />
Fig. 13: The spatial vessel distribution of the vessel size class 10,000-40,000, incoming based on observed values<br />
(blue line) and the fitted normal distribution (red dotted line), on location 1 (left) and location 4 (right).
Fig. 14: Vessel speed distribution on locations 1 to 4, for size class 70,000-100,000 dwt; incoming vessels.<br />
The blue line represents the empirical data set, the red line the fitted normal distribution.<br />
a certain size class. Now, the vessel speed distribution<br />
in relation to the lateral position in a cross<br />
section is investigated. This shows e.g. whether<br />
sailing more to the middle or to the side of the<br />
channel influences the vessel speed.<br />
Fig. 15 shows these distributions, for size class<br />
70,000-100,000 dwt, at the different cross sections.<br />
It can be seen that the vessel speed is<br />
hardly influenced by the position on the waterway.<br />
55<br />
At the outer sides of the distribution some deviation<br />
from the average vessel speed can be seen.<br />
No conclusions concerning these deviations can<br />
however be drawn, as these are based on very<br />
few vessels. Therefore it is assumed that the vessel<br />
location in the cross section has no influence<br />
on the vessel speed. Further research, with more<br />
data specific at the outer sides of the distribution,<br />
can however refine this conclusion.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Fig. 15: Vessel speed distribution over the cross sections at locations 1 to 4, for incoming vessels<br />
from size class 70,000-100,000 dwt.<br />
6. INFLUENCE OF EXTERNAL<br />
CIRCUMSTANCES<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
6.1. Wind<br />
To investigate the influence of wind, the route is<br />
split into two parts, as described in the methodology.<br />
The influence on vessel speed, path and<br />
heading is determined:<br />
56<br />
Influence on vessel speed<br />
Some influence of wind on vessel speed is found.<br />
In general the (obvious) conclusion can be drawn<br />
that tailwind leads to higher vessel speed, while<br />
headwind decreases the vessel speed. Fig. 16<br />
shows this influence, for the vessels in the Beerkanaal.<br />
The dots are the data points that are found,<br />
for the different wind speed classes, as defined
in the methodology. The red line is a best fit of a<br />
linear relationship.<br />
Fig. 16: The influence of parallel wind on the vessel<br />
speed in the Beerkanaal for incoming vessels.<br />
Influence of wind on average path<br />
The influence on the average path is limited.<br />
Some deviations are found, but no significant<br />
conclusions can be drawn. This might be due to<br />
the fact that vessels correct their heading, in order<br />
57<br />
to keep their preferred path also during high wind<br />
speeds. Therefore, a more detailed look is given<br />
at the heading of vessels.<br />
Influence of wind on vessel heading<br />
There is a clear influence on the vessel heading<br />
when vessels are subject to cross winds. The largest<br />
cross winds are found in the part of the trajectory<br />
on the North Sea, outside the breakwaters.<br />
Fig. 17 shows the average vessel heading for the<br />
size class >100,000 dwt, the upper line. The second,<br />
lower, line shows the average heading from<br />
the vessels, in the same size class, that encounter<br />
strong cross winds. Strong cross wind is defined<br />
as a wind speed higher than 8 m/s. The graphs<br />
show the heading over ground.<br />
From Fig. 17 it can be concluded that cross winds<br />
clearly have an influence on the vessel heading.<br />
Vessels adapt their heading about 5-6° at the<br />
maximum, to compensate for the lateral force of<br />
the wind.<br />
After passing the northern breakwater a large<br />
peak can be observed in the graphs. This is at the<br />
location where normally tugs fasten. At this location<br />
large container vessels are very close to the<br />
tugs. As most tugs also transmit AIS messages,<br />
these sometimes interfere with the data from the<br />
container vessel, causing the large peak.<br />
Fig. 17: Development of the average vessel heading for the size class >100,000 dwt (incoming vessels)<br />
and the part of the vessels that encounter a strong crosswind from starboard side.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
6.2. Current<br />
The influence of current is found to be quite similar<br />
to the influence of wind. Only outside the port’s<br />
breakwaters a significant influence is found for<br />
cross current. Figure 18 shows a graph that is<br />
very similar to the one shown for the influence of<br />
wind. Interesting is that the absolute influence that<br />
is found is now larger. The deviation from the average<br />
heading, to compensate for the cross current,<br />
can go up to 15°.<br />
Fig. 18: Development of the vessel heading under<br />
influence of a strong cross current (green) compared<br />
to the average heading (blue) for vessels of size class<br />
40,000-70,000 dwt<br />
6.3. Visibility<br />
No significant influences are found for visibility.<br />
Some differences are obtained, but it is not possible<br />
to draw conclusions. The preliminary results<br />
do however give some direction; further research<br />
might accommodate valid conclusions.<br />
7. GENERIC RULES<br />
In the methodology it is described how the infrastructure<br />
in the case study is schematised. In the<br />
previous sections, standard distribution functions<br />
are found to describe to lateral position of vessels<br />
along various cross sections. By coupling these<br />
58<br />
two, distributions such as in Fig. 19 on the naxt<br />
page can be derived. In this figure the distributions<br />
for the smallest and largest size class, for<br />
both incoming and outgoing vessels are shown.<br />
Some interesting conclusions can be drawn from<br />
Figure 19. The larger vessels clearly sail more to<br />
the middle of the channel. Next to this, the width<br />
of the distribution is much smaller for incoming<br />
vessels than for outgoing vessels. This can be<br />
explained by the fact that incoming vessels converge<br />
towards the entrance of the port, whereas<br />
outgoing vessels spread out over the sea.<br />
Also very interesting is the overlap between the<br />
incoming and outgoing vessels of the largest size<br />
class. This surface indicates the risk area where<br />
these vessels might encounter each other. When<br />
two vessels meet each other at this location, an<br />
interaction is needed to avoid collision. It therefore<br />
also indicates the area where interactions are<br />
likely to be found.<br />
By discounting the schematised width of the waterway,<br />
generic distributions are found that are<br />
independent from a specific infrastructure. This<br />
exercise is also performed for the vessel speed<br />
distribution.<br />
8. CONCLUSIONS<br />
This study shows the potential of AIS data in a<br />
statistical analysis and description of vessel behaviour.<br />
Advantages of this are the possibility to<br />
include the human behaviour of the bridge team in<br />
a statistical way. Such an analysis is possible because<br />
a lot of AIS data are available. Also, some<br />
limitations of AIS data have come up during the<br />
study.<br />
The influence of vessel size is given a close look in<br />
this study. It is clear that vessel size has a considerable<br />
impact on the path and speed of vessels.<br />
From an analysis of AIS data also the distribution<br />
of vessel position and speed in representative<br />
cross sections of the waterway can be found. This<br />
is very advantageous, because it makes it possible<br />
to identify differences in behaviour for different<br />
waterway geometries.<br />
In most cases these differences can be linked<br />
to the practice, e.g. container vessels that sail
Fig. 19: Distribution over the waterway at cross section 1-C<br />
forward or backward into the Amazonehaven basin.<br />
Another example is the location where pilots<br />
leave the vessel, which is noted by seeing a ‘speed<br />
dip’ in the graphs based on AIS data. This shows<br />
that AIS data can not only give a very detailed insight<br />
into average behaviour, but also detect more<br />
(local) divergent behaviour.<br />
The influence of external circumstances such as<br />
wind, current and visibility are investigated in this<br />
study. It turned out that it is difficult to find significant<br />
influences. Main problem for this is the huge<br />
amount of data that is needed to do so. This is<br />
because these influences are often quite weak<br />
inside a port area, especially when vessels are<br />
guided by tugs. Outside the port’s breakwaters a<br />
clear influence of crosscurrents and wind is found,<br />
which shows that the potential of such an analysis<br />
is present. This should however be done in further<br />
analysis.<br />
The vessel behaviour is made generic by fitting<br />
normal distributions to the data, which are shown<br />
to match very well. This shows that, if enough AIS<br />
data are used, it is very well possible to deduce<br />
theoretical distributions. By combining these distributions<br />
with the geometrical characteristics of<br />
the port area where they are found, the distributions<br />
can be made location independent.<br />
59<br />
The schematising of the waterway geometry is<br />
however a process that involves some interpretation;<br />
it is therefore difficult to create strict rules.<br />
Although this is a disadvantage, some fair results<br />
are obtained for the port area that is investigated<br />
in this study.<br />
Follow-up research<br />
Generalised distributions have been formulated<br />
that describe the vessel behaviour in cross sections<br />
of the waterway. More research is however<br />
needed. The two most important points of interest<br />
that follow from this study are:<br />
- The influence of vessel type. Obtaining more<br />
insight in the influence of the vessel type on the<br />
vessel behaviour. In this study only the behaviour<br />
of container vessels is investigated. For example<br />
dry bulk vessels (with a larger depth and<br />
smaller height) are very interesting.<br />
- The vessel behaviour in encounters. The prediction<br />
of behaviour before and during encounters.<br />
An improved Vessel Traffic Model needs to<br />
include a fair description of this behaviour.<br />
These two issues are the main focus areas of<br />
the large research project which is presently undertaken<br />
at TU Delft. A third interesting topic for<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
future research is a more in depth investigation of<br />
the influence of external circumstances. Also the<br />
influence of other factors like the influence of day<br />
/night is interesting.<br />
9. REFERENCES<br />
[1] Boer de, T. (2010): “An analysis of vessel behaviour<br />
based on AIS data”, Delft University of<br />
Technology, MSc thesis.<br />
[2] Harati-Mokhari, A., Wall, A., Brooks, P. and<br />
Wang J. (2007): “Automatic Identification System<br />
(AIS): Data reliability and human error implications”,<br />
Journal of Navigation 60: 373-389.<br />
[3] IALA and AISM (2004): IALA guideline no. 1028<br />
on the Automatic Identification System (AIS), Volume<br />
1, Part I: Operational issues.<br />
[4] International Maritime Organization (IMO),<br />
“Automatic Identification Systems (AIS)”, [Online],<br />
Available: www.imo.org<br />
This article is based on a study that was done as<br />
a graduation project, which formed the concluding<br />
part of the Master of Science program Civil<br />
Engineering at Delft University of Technology, The<br />
Netherlands. The research has been done in cooperation<br />
with the Port of Rotterdam Authority and<br />
Marin.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
60
Due to an increased intensity in ports and waterways,<br />
there is a need for a Vessel Traffic Model<br />
that is capable of handling high vessel intensities.<br />
Such a model is a very valuable tool in planning<br />
and design, as well as operational guidance. The<br />
main challenge for this Vessel Traffic Model (VTM)<br />
is that it results in statistical distributions of the<br />
vessel traffic in a cross section of the waterway<br />
and to better predict vessel behaviour before and<br />
during encounters. It is also important to include a<br />
fair representation of the human behaviour of the<br />
bridge team.<br />
The introduction in 2004 of the Automatic Identification<br />
System (AIS) on board of seagoing vessels<br />
has created good possibilities to develop such a<br />
model. AIS data messages are sent every few<br />
seconds and therefore give a very detailed representation<br />
of the vessel position and speed. This<br />
facilitates statistical analyses in order to obtain<br />
distributions of the vessel traffic in cross sections<br />
of the waterway and behaviour during encounters.<br />
Also, a representation of the behaviour of the<br />
bridge team can potentially be made, as the AIS<br />
data show the results of its decisions: the behaviour<br />
of the vessel.<br />
This paper is based on an MSc-study that was<br />
performed at the Delft University of Technology,<br />
in co-operation with the Marin (Maritime Research<br />
Institute Netherlands) and Port of Rotterdam. The<br />
study was done in preparation of a large research<br />
project on the development of an improved VTM.<br />
Aim is to verify that AIS data can be used to derive<br />
generalised distributions of the vessel behaviour,<br />
as a function of waterway geometry, vessel type,<br />
vessel size, external conditions, etc.<br />
In this study container vessel tracks between the<br />
North Sea and the ‘Amazonehaven’ (a basin in the<br />
port of Rotterdam, The Netherlands) are investigated.<br />
The distributions of vessel position in typical<br />
cross sections of the waterway are standardised<br />
by fitting normal distributions to the AIS data. The<br />
quality of the fits is validated by checking the statistical<br />
characteristics of the distributions and by<br />
calculating the R2 values.<br />
The influence of the vessel size on the vessel<br />
behaviour is investigated by dividing all vessel<br />
tracks into several size classes. The comparisons<br />
SUMMARY<br />
61<br />
between these size classes show that the vessel<br />
size has a significant impact on the vessel position<br />
in the cross section and the vessel speed: in<br />
general larger vessels sail more to the middle of<br />
the channel, with a lower speed.<br />
By inspecting the vessel distributions in representative<br />
cross sections also more locally, divergent<br />
behaviour is identified. In most cases this behaviour<br />
can be given a practical explanation. In one<br />
of the cross sections it is observed that vessels<br />
choose different paths in the approach of the Amazonehaven<br />
basin, depending on their forward or<br />
backward entering of the basin itself. Other links<br />
between the theoretical findings and practice are<br />
found as well. An example of this is the location<br />
where pilots leave the vessel, which can be seen<br />
as a speed dip in the AIS data.<br />
The influence of three external conditions is investigated:<br />
wind, current and visibility. It is difficult to<br />
find statistically significant influences, as most of<br />
these influences are rather small within the protected<br />
port area, especially when vessels are<br />
guided by tugs. Outside the protected port area<br />
a clear influence is found on the vessel heading<br />
for strong crosswinds and crosscurrents. Vessels<br />
correct their heading in order to stay on course<br />
during the entry into the port through the main approach<br />
channel.<br />
The geometry of the waterway between the North<br />
Sea and the Amazonehaven is schematised. After<br />
this, the derived normal distributions of the vessel’s<br />
speed and position are coupled with the site<br />
specific waterway characteristics: the width and<br />
the type of the waterway. This way generic distributions<br />
are found that can also be used for other<br />
port areas with a different geometry. They also<br />
may form input for the vessel traffic model that is<br />
to be developed.<br />
The study shows that AIS data can be used to<br />
derive generalised distributions of the vessel behaviour.<br />
Further research is planned to investigate<br />
the influence of different vessels types, as in this<br />
study only container vessels are looked at. Also,<br />
the vessel behaviour during encounters and the<br />
interaction between vessels are important aspects<br />
that are not covered in this study, but essential in<br />
the development of a VTM.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
En raison de l’importance croissante du trafic dans<br />
les ports et sur les voies navigables, un modèle<br />
de trafic capable de gérer des trafics intenses de<br />
navires est nécessaire. Un tel modèle est un outil<br />
très précieux dans la planification et la conception,<br />
et aussi pour la gestion de l’exploitation. Le principal<br />
défi pour ce modèle de trafic de navires (VTM)<br />
est qu’il aboutisse en une distribution statistique<br />
du trafic sur une coupe transversale de la voie<br />
navigable et qu’il prédise mieux le comportement<br />
des navires avant et pendant les croisements.<br />
L’introduction des systèmes d’identification automatique<br />
à bord des navires de mer (AIS) en 2004<br />
a généré des bonnes possibilités pour le développement<br />
d’un tel modèle. Les données AIS sont<br />
envoyées à un intervalle de quelques secondes et<br />
fournissent ainsi une représentation très détaillée<br />
de la position et de la vitesse du navire. Ceci facilite<br />
l’analyse statistique pour l’obtention de la distribution<br />
statistique sur une coupe transversale de<br />
la voie navigable et le comportement des navires<br />
pendant les croisements. Une représentation du<br />
comportement de l’équipage en passerelle peut<br />
également être établie, car les données AIS montrent<br />
le résultat de leurs décisions : le comportement<br />
du navire.<br />
Cet article est basé sur une étude de Master en<br />
science menée à l’Université Technologique de<br />
Delft, en coopération avec l’institut Marin (Maritime<br />
Research Institute Netherlands) et le Port de Rotterdam.<br />
L’étude a été menée en préparation d’un<br />
vaste projet de recherche sur le développement<br />
d’un VTM amélioré. Son but est de vérifier que les<br />
données AIS peuvent être utilisées pour décomposer<br />
les distributions généralisées du comportement<br />
du navire, en une fonction de la géométrie<br />
de la voie navigable, du type de navire, de la taille<br />
du navire, des conditions externes, etc.<br />
Les relevés des porte-conteneurs entre la Mer<br />
du Nord et le ‘Amazonehaven’ (un bassin du Port<br />
de Rotterdam aux Pays-Bas) sont analysés dans<br />
cette étude. Les distributions de position des navires<br />
sur une coupe transversale représentative<br />
de la voie navigable sont modélisées par des distributions<br />
normales calées par ajustement aux<br />
données AIS. La qualité des ajustements est validée<br />
en contrôlant les caractéristiques statistiques<br />
des distributions et en calculant les valeurs du co-<br />
RéSUMé<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 62<br />
efficient de détermination R².<br />
L’influence de la taille du navire sur son comportement<br />
est analysée en séparant les relevés<br />
des navires en plusieurs catégories de taille. Les<br />
comparaisons entre ces catégories montrent que<br />
la taille des navires a un impact significatif sur son<br />
positionnement dans la coupe transversale et sur<br />
sa vitesse: en général les bateaux plus grands<br />
naviguent davantage au milieu du chenal, à une<br />
vitesse moindre.<br />
Des comportements divergents sont identifiés en<br />
analysant également les distributions des navires<br />
sur des coupes transversales représentatives à<br />
une échelle plus locale. Dans la plupart des cas<br />
ce comportement peut trouver une explication en<br />
pratique. Dans une des coupes transversales on<br />
observe que le navire choisit des trajectoires différentes<br />
à l’approche du bassin Amazonehaven,<br />
selon qu’il entre dans ce bassin en marche avant<br />
ou en marche arrière. D’autres liens entre les résultats<br />
théoriques et la pratique sont également<br />
identifiés. Par exemple, le lieu où les pilotes quittent<br />
le navire peut être observé grâce à une chute<br />
de la vitesse dans les relevés AIS.<br />
L’étude analyse l’influence de trois conditions extérieures:<br />
le vent, le courant et la visibilité. Il est<br />
difficile d’établir des influences statistiquement<br />
significatives, car la plupart de ces influences sont<br />
plutôt faibles dans l’enceinte de la zone portuaire,<br />
en particulier quand les bateaux sont assistés par<br />
des remorqueurs. Une nette influence est constatée<br />
sur les navires exposés à de forts courants et<br />
vents traversiers à l’extérieur de la zone portuaire<br />
abritée.<br />
La géométrie de la voie navigable entre la Mer<br />
du Nord et le bassin Amazonehaven est schématisée.<br />
Ensuite, les distributions normales déduites<br />
des vitesses et positions des navires sont associées<br />
aux caractéristiques nautiques spécifiques<br />
du site : la largeur et le type de voie navigable.<br />
De cette manière des distributions génériques<br />
sont établies et peuvent également servir dans<br />
d’autres zones portuaires à la géométrie différente.<br />
Elles peuvent également servir de données<br />
d’entrée pour le modèle de trafic de navire qui va<br />
être développé.
L’étude montre que les données AIS peuvent<br />
être utilisées pour décomposer les distributions<br />
généralisées du comportement des navires.<br />
Un approfondissement est prévu pour analyser<br />
l’influence de différents types de navires, car cette<br />
étude ne considère que des navires porte-conteneurs.<br />
De plus le comportement du navire pendant<br />
les croisements, l’interaction entre les navires, est<br />
un aspect important qui n’est pas couvert par cette<br />
étude, mais essentiel pour le développement d’un<br />
VTM.<br />
Aufgrund einer erhöhten Verkehrsdichte in Häfen<br />
und auf Wasserstraßen besteht zunehmend der<br />
Bedarf eines Schiffsverkehrsmodells, das in der<br />
Lage ist, hohe Verkehrsdichten zu simulieren.<br />
Solch ein Modell ist ein sehr wertvolles Werkzeug<br />
für die Planung und den Entwurf sowie für die<br />
Unterhaltung von Wasserstraßen und ihren Anlagen.<br />
Die wesentliche Herausforderung für dieses<br />
Schiffsverkehrsmodell (Vessel Traffic Model<br />
(VTM)) ergibt sich daraus, dass es auf einer<br />
statistischen querschnittsbasierten Verteilung<br />
des Schiffsverkehrs auf der Wasserstraße beruht<br />
und zugleich das Verhalten von Schiffen vor und<br />
während Begegnungen präziser vorhersagen soll.<br />
Es ist außerdem wichtig, das menschliche Verhalten<br />
der Besatzung auf der Kommandobrücke<br />
mit einzubeziehen.<br />
Die Einführung des automatischen Identifikationssystems<br />
(Automatic Identification System (AIS))<br />
an Bord von Seeschiffen im Jahr 2004 schuf<br />
geeignete Möglichkeiten, ein solches Modell zu<br />
entwickeln. AIS-Daten werden engmaschig gesendet<br />
und bieten daher sehr detailliert Auskunft über<br />
die Position und die Geschwindigkeit von Schiffen.<br />
Dies erleichtert statistische Analysen hinsichtlich<br />
der Verteilung des Schiffsverkehrs auf Wasserstraßen<br />
innerhalb von Querschnittsprofilen und<br />
hinsichtlich des Verhaltens bei Schiffsbegegnungen.<br />
Zudem kann möglicherweise eine Auswertung<br />
über das Verhalten der Besatzung auf der<br />
Kommandobrücke vorgenommen werden, soweit<br />
die AIS-Daten die Ergebnisse der Entscheidungen<br />
widerspiegeln: das Verhalten des Schiffs.<br />
Dieser Artikel basiert auf einer Masterarbeit, die<br />
ZUSAMMENFASSUNG<br />
63<br />
an der Technischen Universität Delft (Delft University<br />
of Technology) in Kooperation mit dem Marin<br />
(Maritime Research Institute Netherlands, maritimes<br />
Forschungsinstitut der Niederlande) und<br />
den Rotterdamer Hafenbetrieben durchgeführt<br />
wurde. Diese Studie wurde in Vorbereitung auf ein<br />
großes Forschungsprojekt zur Entwicklung eines<br />
verbesserten VTM durchgeführt. Ziel ist es, zu<br />
überprüfen, ob AIS-Daten dazu verwendet werden<br />
können, eine allgemeingültige statistische Verteilung<br />
des Schiffsverhaltens als Funktion der Wasserstraßengeometrie,<br />
des Schiffstyps, der Schiffsgröße,<br />
äußerer Bedingungen, etc. abzuleiten.<br />
In dieser Studie werden die Routen von Containerschiffen<br />
zwischen der Nordsee und dem ‘Amazonehaven’<br />
(ein Becken im Hafen von Rotterdam,<br />
Niederlande) untersucht. Die Verteilung von<br />
Schiffspositionen in typischen Querschnittsprofilen<br />
der Wasserstraße werden normiert, indem<br />
die AIS-Daten in eine Gauß-Verteilung überführt<br />
werden. Die Güte der Anpassung wird validiert<br />
durch eine Prüfung der statistischen Charakteristik<br />
der Verteilungen und durch Berechnung der<br />
R2–Werte.<br />
Der Einfluss der Schiffsgröße auf das Schiffsverhalten<br />
wird untersucht, indem alle Routen in unterschiedliche<br />
Größenklassen aufgeteilt werden.<br />
Die Vergleiche dieser Größenklassen zeigen,<br />
dass die Schiffsgröße einen signifikanten Einfluss<br />
auf die Schiffsposition im betrachteteten Querschnittsprofil<br />
und auf die Schiffsgeschwindigkeit<br />
hat: Im Allgemeinen fahren größere Schiffe mehr<br />
in der Mitte der Fahrrinne und mit geringerer Geschwindigkeit.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Bei lokaleren Untersuchungen der Schiffsverteilungen<br />
in repräsentativen Querschnitten, wird ein<br />
divergentes Verhalten festgestellt. In vielen Fällen<br />
gibt es für dieses Verhalten eine praktische<br />
Erklärung: In einem der Querschnitte wurde<br />
beobachtet, dass Schiffe verschiedene Fahrwege<br />
beim Anlaufen des Amoazonehaven-Beckens<br />
wählen, abhängig davon, ob sie vorwärts oder<br />
rückwärts einfahren. Es werden auch andere<br />
Verbindungen zwischen den theoretischen Ergebnissen<br />
und der Praxis liegend, gefunden. Ein<br />
Beispiel hierfür ist die Stelle, an der die Schiffsführer<br />
die Schiffe verlassen, was als Geschwindigkeitsabfall<br />
in den AIS-Daten erkennbar ist.<br />
Der Einfluss von drei Randbedingungen wird untersucht:<br />
Wind, Strömung und Sichtverhältnisse.<br />
Es ist schwierig, statistisch signifikante Einflüsse<br />
zu finden, da die meisten dieser Kenngrößen innerhalb<br />
des geschützten Hafengebietes schwach<br />
ausgeprägt sind, besonders, wenn die Schiffe von<br />
Schleppern gezogen werden. Außerhalb des geschützten<br />
Hafengebietes ist ein deutlicher Einfluss<br />
auf den Kurs der Schiffe gegeben, allen voran durch<br />
heftige Seitenwinde und Querströmungen. Die<br />
Schiffe korrigieren ihre Fahrtrichtung, um bei der<br />
Einfahrt in den Hafen auf der Hauptzulaufrinne<br />
den Kurs zu halten.<br />
Die Geländestruktur der Wasserstraße zwischen<br />
der Nordsee und dem Amazonehaven wird schematisiert.<br />
Anschließend werden die abgeleiteten<br />
Normalverteilungen der Schiffsgeschwindigkeit<br />
und Schiffsposition mit den spezifischen Charakteristiken<br />
der Wasserstraßen gekoppelt: die Breite<br />
und der Wasserstraßentyp. So werden allgemeine<br />
Verteilungen ermittelt, die auch für andere<br />
Hafengebiete mit einer abweichenden Geometrie<br />
verwendet werden können. Sie können ebenso in<br />
das zu entwickelnde Schiffsverkehrsmodell einfließen.<br />
Die Studie zeigt, dass AIS-Daten dazu verwendet<br />
werden können, verallgemeinerte Verteilungen<br />
über das Verhalten von Schiffen abzuleiten.<br />
Für die weitere Forschung ist geplant, den Einfluss<br />
verschiedener Schiffstypen zu untersuchen,<br />
da in dieser Studie nur Containerschiffe betrachtet<br />
werden. Ebenso sind das Schiffsverhalten<br />
während Begegnungen und die Interaktion zwischen<br />
Schiffen wichtige Aspekte, die mit dieser<br />
Studie nicht abgedeckt werden, aber für die Entwicklung<br />
eines VTM unerlässlich sind.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
64
THE LOCKS OF THE SEINE-SCHELDT PROJECT:<br />
INTRODUCING THE CONCEPT OF LIFE CYCLE COST<br />
KEY WORDS<br />
lock design, Seine-Scheldt, life cycle management,<br />
whole life cost, design & build<br />
MOTS-CLEFS<br />
conception d’une écluse, Seine-Escaut, gestion<br />
du cycle de vie, coût total, conception-réalisation<br />
1. THE SEINE-SCHELDT PROJECT<br />
by<br />
ELLEN MAES<br />
Project Engineer,<br />
Waterwegen en Zeekanaal NV,<br />
Upper-Scheldt Division,<br />
Nederkouter 28<br />
9000 Gent<br />
Belgium<br />
Tel.: +32 9 268 02 92<br />
E-mail: ellen.maes@wenz.be<br />
Fig. 1: The Seine-Scheldt link<br />
65<br />
1.1. The Overall Seine-Scheldt<br />
Project in a Nutshell<br />
Waterwegen en Zeekanaal NV, the Flemish waterway<br />
manager, is preparing the execution of the<br />
international Seine-Scheldt project. This project<br />
aims at connecting the Seine basin in the Paris<br />
region with the Scheldt basin in the region of<br />
Antwerp-Rotterdam through means of a performant<br />
inland navigation link. By 2016 it will be possible<br />
to navigate ships up to 4,500 tonnes (ECMT<br />
class Vb) from Paris to Antwerp and vice versa.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
On Flemish soil the project mainly consists of the<br />
adaptation of the Lys river from a 2,000 tonnes<br />
waterway to a 4,500 tonnes waterway. To achieve<br />
the necessary 4.5 m water depth for ships with a<br />
draught of up to 3.5 m, a deepening of the river<br />
with approximately 1 m is necessary. Widening of<br />
river bends and construction of mooring places<br />
will allow vessels up to 185 m long to pass through<br />
the waterway link in one way passage. The deepening<br />
of the river calls for the reconstruction of the<br />
locks of Sint-Baafs-Vijve and Harelbeke. To facilitate<br />
the booming container traffic, a clearance of<br />
7.0 m will be provided for all bridges crossing the<br />
Lys and downstream canals. This allows stacking<br />
the containers 3 levels high.<br />
Fig. 2: The Seine-Scheldt link in Flanders<br />
(red line)<br />
The Seine-Scheldt project offers the opportunity<br />
to work on the ecological quality of the river Lys.<br />
Under the header ‘River Restoration’ the demands<br />
of the European Water Framework Directive are<br />
translated in specific projects, such as the construction<br />
of embankments that offer a good ecological<br />
potential to typical wetland species, the reconnection<br />
of old meanders to the dynamic river<br />
system and the re-establishment of fish migration<br />
throughout the river.<br />
Apart from these ecological goals, a number of<br />
landscaping projects will be launched and some<br />
recreational measures will be undertaken to make<br />
the valley visually more attractive and appealing<br />
to a large number of stakeholders. As an example<br />
the building of bridges for pedestrians near tourist<br />
attractions can be mentioned.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 66<br />
1.2. The Seine-Scheldt Project<br />
in Harelbeke<br />
The Seine-Scheldt project in Harelbeke calls for<br />
the following actions:<br />
- the deepening of the Lys to a water depth of<br />
4.5 m<br />
- the construction of a new lock, adapted to vessels<br />
of ECMT class Vb<br />
- the repair of fish migration possibilities around<br />
the new lock and (new or existing) weir<br />
- the rebuilding of the bridge ‘Hoge Brug’, just<br />
downstream of the lock<br />
- the lifting of the bridge ‘Kuurnebrug’, just upstream<br />
of the lock<br />
- the reconstruction of the necessary mooring<br />
structures on both sides of the lock<br />
- the construction of embankments that are environmentally<br />
appealing<br />
One of the main challenges for the calibration of<br />
the Lys in Harelbeke lies in the construction of a<br />
new lock in Harelbeke, to replace the insufficient<br />
existing one. Therefore, the reconstruction of the<br />
lock and its interconnected weir – and simultaneously<br />
the reassessment of the urban site with<br />
its waterfront and its two bridges – becomes an<br />
important goal for the Seine-Scheldt project. To<br />
achieve this, a ‘Design & Build’-procedure (D&B)<br />
was started in 2010.<br />
2. CONSTRAINTS OF THE PROJECT<br />
2.1. Project Zone<br />
The project zone for the D&B project comprises<br />
the river Lys shown on the aerial view below (Fig.<br />
3 on the next page) and stretches from 500 m<br />
upstream the ‘Kuurnebrug’ (in the southwest corner)<br />
to 500 m downstream the ‘Hoge Brug’ (in the<br />
northeast corner).<br />
As can be seen from the aerial view, the project<br />
zone is situated near Harelbeke’s city centre.<br />
Due to the urban environment, the project site<br />
has many conflicting goals. All of them will be discussed<br />
in the following paragraphs, as to offer the<br />
reader good insight in the complexity of the overall<br />
project.
Fig. 3: Aerial view of the D&B project zone<br />
in Harelbeke<br />
2.2. Existing lock and weir of Harelbeke<br />
The existing lock and weir of Harelbeke were built<br />
in 1966. The lock, with a vertical lifting door upstream<br />
and miter gates downstream, has a chamber<br />
length of 110 m, width of 12.5 m and a sill<br />
depth of 3.5 m. The weir on the left river bank has<br />
two openings of 12.5 m each, with vertical lifting<br />
doors. It regulates the water level in normal conditions<br />
at 10.18 m TAW upstream and 8.00 m TAW<br />
downstream.<br />
67<br />
The electromechanical equipment of both lock<br />
and weir was replaced in 1972. In 1987-1989 a<br />
bottom revetment was placed at the downstream<br />
side of the weir. However, periodic measuring<br />
revealed further erosion in 1995, so some extra<br />
riprap was put in place in 2004. In recent years<br />
the lifting doors were renovated, the service building<br />
was expanded and measures against pigeons<br />
were taken.<br />
But the worst problem was only discovered in<br />
2001: the central wall between lock and weir is<br />
tilting in the direction of the lock chamber, thus reducing<br />
the actual width of the lock chamber with<br />
several centimetres. This stability failure is due<br />
to erosion at the weir which undermines the pile<br />
foundation of the lock wall. Taking into account<br />
that the lock has to be replaced by 2016 because<br />
of the Seine-Scheldt project, no further actions<br />
were taken (except for some minor repairs in 2006<br />
as can be seen on Fig. 4b).<br />
The existing lock and weir structures offer the<br />
most stringent constraint to the D&B project, as<br />
the continuity of navigation is to be guaranteed<br />
throughout the whole construction phase. Also, a<br />
minimal safety against flooding is requested, so<br />
the existing weir should at least be partially kept<br />
active during construction of the new lock and<br />
weir. A third requirement was added to the project,<br />
namely the straightening of the waterway downstream<br />
‘Hoge Brug’ to allow safe navigation in and<br />
out the new lock. A bend in combination with the<br />
bridge already poses a problem for vessels today.<br />
It would be intolerable for larger vessels in the future.<br />
Fig. 4: (a) Upstream view of lock and weir of Harelbeke – (b) Downstream view of lock chamber<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Fig. 5: (a) Central historical building of the Bloemmolens – (b) Banmolens<br />
2.3. Surrounding buildings<br />
The lock and weir are situated right next to the urban<br />
environment of the city of Harelbeke. This historical<br />
city was built around the river, which functioned<br />
as the energy supplier for the grain mills<br />
that brought prosperity to the city in the Middle<br />
Ages. Until recently the milling industry remained<br />
active at the site: on June 30, 2009 the last mill<br />
closed its doors. The abandoned factory, known<br />
as the ‘Bloemmolens’, as shown in figure 5a and<br />
seen from afar on Fig. 4a, is in the process of being<br />
purchased by Waterwegen en Zeekanaal NV.<br />
Further up the river on the same river bank, lies<br />
another former mill, named ‘Banmolens’. This<br />
complex is officially considered as industrial heritage<br />
since 1998 and receives the proper protection<br />
accordingly. It was recently renovated and<br />
transformed into lofts. In the renovation project the<br />
restoration of the hydraulic turbine underneath the<br />
mill was included, but since there is no more link<br />
to the Lys, this was not executed. As this offers<br />
an opportunity to the D&B project, the creation of<br />
a water intake for the ‘Banmolens’ was added to<br />
the list of requirements. It could even offer a solution<br />
for the fish migration around the new lock and<br />
weir and should therefore be investigated further<br />
in detail.<br />
2.4. Spatial vision<br />
The construction of a new lock and weir in an urban<br />
environment, historically linked to the river,<br />
brings along stringent demands with regard to<br />
urban planning, landscaping and architecture. On<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 68<br />
top of that all the different stakeholders all have<br />
different points of view on the priorities of functions<br />
like navigation, water management, recreation,<br />
nature, etc. To find an equilibrium amongst<br />
all these functions is proven to be a complex issue<br />
that needs to be seen in the bigger picture of the<br />
Lys valley.<br />
The new lock and weir and the furnishing of the<br />
public space around it have to lead to the creation<br />
of a new spatial unit that strengthens the urban<br />
dynamics on the right river bank and the green<br />
link on the left river bank, as depicted in Fig. 6.<br />
Fig. 6: Spatial vision of the lock surroundings<br />
The urban river bank takes a central place in the<br />
landscaping of the river. The fragmentary character<br />
today needs to be changed into a coherent
and spatially readable unit. Therefore, the quay<br />
walls should form one continuous line alongside<br />
the water, preferably lowered to strengthen the relation<br />
of the strolling pedestrians with the water.<br />
Through transversal links the city centre clings itself<br />
to the water.<br />
The left bank, which already has a far greener image,<br />
should pursue this even further. Because of<br />
the disappearance of industry, the recreational and<br />
natural functions can be developed. A continuous<br />
recreational biking trail through an ecologically interesting<br />
area, should be the focus point. Linking<br />
the old meander to the river again, is giving life<br />
back to the water and can work as a fish migration<br />
route, bypassing the new lock and weir. By means<br />
of ecological management a hotspot for fish, birds<br />
and water related plants can be created.<br />
3. DESIGN & BUILD PROCEDURE<br />
In order to achieve an integrated project that offers<br />
a best fit solution for this complex problem, a<br />
‘Design & Build (D&B)’-procedure was launched.<br />
As a D&B-contract lacks the maintenance factor<br />
as an implicit quality control, Life Cycle Management<br />
(LCM) had to be introduced in the contract.<br />
This means that not only construction cost has to<br />
be minimised, but the Whole Life Cost (WLC) of<br />
the lock and weir should be kept to a minimum.<br />
The WLC contains all cost factors taking part in<br />
the life span of the lock and weir, namely the construction<br />
cost, the maintenance cost, the cost of<br />
operation, the cost related to downtime of the lock<br />
and necessary repair and – in the end – even the<br />
cost for demolition.<br />
Calamities such as power failures, malfunction<br />
of the gates and of the levelling system have to<br />
be avoided and downtime due to maintenance<br />
should be kept to a minimum. This can be done by<br />
precautionary maintenance (specifically for those<br />
parts subject to wear and tear), integration of protection<br />
systems for gates in the design and installing<br />
the proper safety equipment for the people using,<br />
maintaining or operating the lock and weir.<br />
From a durability point of view it can also be interesting<br />
to look for ways to use renewable energy<br />
sources on site. Photovoltaic energy cells and<br />
wind energy are possible and can e.g. be used for<br />
69<br />
the lock movements. Hydro-electric power should<br />
be researched on site, but will probably not be<br />
feasible due to the limited fall of the water level<br />
(approximately 2 m).<br />
Attention should also be given to minimising noise<br />
and general nuisance of the construction and the<br />
exploitation for the surrounding neighbourhood.<br />
4. CONCLUSION<br />
The construction of a new lock and weir at Harelbeke,<br />
along the river Lys, is one of the main challenges<br />
for the international Seine-Scheldt project.<br />
Due to the urban environment, the project site has<br />
many conflicting goals.<br />
The main objectives are – of course – navigation<br />
and water management. These objectives offer<br />
the geometrical characteristics for the design of<br />
the lock and weir. On top of that, a large number<br />
of other challenges are added. The spatial constraints<br />
are one of them: the historical buildings<br />
and the existing bridges are the main ones. Apart<br />
from that, recreational and ecological aspects<br />
also play a role in the future design of the lock<br />
and weir.<br />
To be able to get a best-fit solution considering<br />
all the above mentioned – and often conflicting –<br />
goals, it was decided by Waterwegen en Zeekanaal<br />
NV to consider the project as an integrated<br />
project. As such a Design & Build procedure was<br />
launched. To integrate an implicit quality control,<br />
the minimisation of the Whole Life Cost (WLC)<br />
was added as a requirement in the contract.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
The Seine-Scheldt project aims to connect the<br />
Seine basin in the Paris region with the Scheldt<br />
basin in the region of Antwerp-Rotterdam, for vessels<br />
up to ECMT-class Vb (4,500 tonnes). In order<br />
to achieve this by 2016, the Belgian region of<br />
Flanders is preparing navigability enhancements<br />
of the river Lys, which currently allows vessels up<br />
to 2,000 tonnes.<br />
One of the main challenges for this calibration lies<br />
in the construction of a new lock in Harelbeke, to<br />
replace the insufficient existing one. Therefore,<br />
the reconstruction of the lock and its interconnected<br />
weir – and simultaneously the reassessment<br />
of the urban site with its waterfront and its<br />
two bridges – becomes an important goal for the<br />
Seine-Scheldt project.<br />
Due to the urban environment, the project site has<br />
many conflicting goals. All of them are discussed<br />
in the paper, as to offer the reader good insight<br />
in the complexity of the overall project. On top of<br />
the main objective (navigation) other challenges<br />
Le but du projet Seine-Escaut est de connecter le<br />
bassin de la Seine en région parisienne avec le<br />
bassin de l’Escaut dans la région d’Anvers-Rotterdam<br />
pour des bateaux de 4.500 tonnes (Classe<br />
Vb-CEMT). Pour arriver à cette fin d’ici 2016, la région<br />
belge des Flandres prépare l’accroissement<br />
de la navigabilité de la Lys qui pour l’instant peut<br />
accueillir des bateaux de 2.000 tonnes.<br />
L’un des principaux défis pour cela est la construction<br />
d’une nouvelle écluse à Harelbeke afin de<br />
remplacer l’ancienne devenue insuffisante. Ainsi,<br />
la reconstruction de l’écluse et du barrage associé<br />
– et en même temps le réexamen du site urbain<br />
avec ses rives et ses deux ponts – est devenu un<br />
enjeu majeur du projet Seine-Escaut.<br />
En raison de son environnement urbain, le site<br />
comporte plusieurs enjeux contradictoires. Afin<br />
d’offrir au lecteur un bon aperçu de la complexité<br />
de l’ensemble du projet, tous ces enjeux<br />
sont exposés dans l’article. A l’enjeu principal (la<br />
navigation), d’autres défis se sont greffés allant<br />
SUMMARY<br />
RéSUMé<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 70<br />
are added, ranging from economic aspects (transhipment<br />
of goods over the waterway, protection<br />
against flooding, recreation) over ecological aspects<br />
(ecological river embankments, migration of<br />
fish, durable energy consumption) to landscaping<br />
(urban planning, integration of an archaeological<br />
mill site, architectural interests).<br />
In order to achieve an integrated project that offers<br />
a best fit solution for this complex problem, a<br />
‘Design & Build’-procedure (D&B) was launched.<br />
As a ‘Design & Build’-contract lacks the maintenance<br />
factor as an implicit quality control, the life<br />
cycle cost concept is introduced. Not only should<br />
the construction cost of the project be taken into<br />
account, it becomes clear that the cost for maintenance<br />
and exploitation of the infrastructure, as<br />
well as the cost of downtime of the system, also<br />
play an important role in the appreciation of the<br />
ultimate design. The paper thus focuses on different<br />
ways to minimise life cycle cost within the D&B<br />
contract for Harelbeke.<br />
des aspects économiques (transbordement des<br />
marchandises sur la voie d’eau, protection contre<br />
les inondations, loisirs), écologiques (digues<br />
écologiques, migration des poissons, consommation<br />
d’énergies durables) jusqu’à l’aménagement<br />
du territoire (planification, intégration du site archéologique<br />
du moulin, intérêts architecturaux).<br />
Une procédure de ‘conception-réalisation’ a été<br />
lancée afin d’aboutir à un projet intégré offrant la<br />
meilleure solution à tous ces défis.<br />
Etant donné que le contrat de ‘conception-réalisation’<br />
ne prend pas la maintenance comme<br />
un contrôle qualité implicite, le concept de coût<br />
du cycle de vie a été introduit. En effet, outre le<br />
coût de la construction, il faut tenir compte dans<br />
l’appréciation finale des coûts de maintenance et<br />
d’exploitation ainsi que des coûts de chômage du<br />
système. L’article souligne donc les moyens de<br />
minimiser le coût du cycle de vie dans le contrat<br />
de ‘conception-réalisation’ d’Harelbeke.
Das Ziel des Seine-Scheldt Projektes ist es, das<br />
Seine-Becken der Region Paris mit dem Scheldt-<br />
Becken der Region Antwerpen-Rotterdam zu<br />
verbinden und für Schiffe bis zur ECMT-Klasse Vb<br />
(4.500 Tonnen) befahrbar zu machen. Um dieses<br />
Ziel bis zum Jahr 2016 zu erreichen, bereitet die<br />
belgische Region Flandern den Ausbau des Flusses<br />
Lys vor, auf dem zurzeit Schiffe bis zu 2.000<br />
Tonnen fahren können.<br />
Eine der größten Herausforderungen bei diesem<br />
Ausbau liegt in dem Bau einer neuen Schleuse<br />
in Harelbeke, die die bestehende, den neuen<br />
Anforderungen nicht entsprechende Schleuse<br />
ersetzen soll. Daher wird der Neubau der Schleuse<br />
mit dem Wehr sowie die gleichzeitige Neubewertung<br />
der städtischen Situation am Ufer und<br />
den beiden Brücken zu einem bedeutenden Ziel<br />
des Seine-Scheldt-Projektes.<br />
Bedingt durch das städtische Umfeld unterliegt<br />
das Projekt vielen widerstreitenden Zielvorgaben.<br />
Alle werden in diesem Beitrag diskutiert, um dem<br />
Leser einen guten Einblick in die Komplexität des<br />
gesamten Projektes zu geben. Zu dem Hauptziel<br />
(Schifffahrt) kommen noch weitere Heraus-<br />
ZUSAMMENFASSUNG<br />
71<br />
forderungen, von den ökonomischen Aspekten<br />
(Warentransport zu Wasser, Hochwasserschutz,<br />
Freizeit) über die ökologischen Aspekte (umweltfreundliche<br />
Uferdämme, Fisch-Wanderung,<br />
Verwendung nachhaltiger Energien) bis hin zur<br />
Landschaftsgestaltung (Städteplanung, Einbindung<br />
einer Mühlen-Ruine, architektonische Interessen).<br />
Um zu einem integrierten Projekt zu kommen,<br />
das die bestmögliche Lösung für dieses komplexe<br />
Problem bietet, wurde ein ‚Design&Build(D&B)-<br />
Verfahren‘ gestartet.<br />
Da in einem ‚Design&Build‘-Vertrag der Wartungsfaktor<br />
als implizierte Qualitätskontrolle fehlt,<br />
wird ein Lebenszyklus-Kosten-Konzept eingeführt.<br />
Es sollten nicht nur die Baukosten des Projekts<br />
berücksichtigt werden, sondern es wird klar,<br />
dass die Kosten für Wartung und Nutzung der Infrastruktur<br />
sowie die Kosten bei einem Ausfall des<br />
Systems eine wichtige Rolle bei der Bewertung<br />
des endgültigen Designs spielen. Schwerpunkt<br />
dieses Artikels sind verschiedene Wege, die Lebenszyklus-Kosten<br />
innerhalb des ‚D&B‘-Vertrages<br />
für Harelbeke zu minimieren.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 72
THE NEW GUIDELINES FOR THE DESIGN<br />
OF WATER SPORTS FACILITIES<br />
KEY WORDS<br />
water tourism, design of water sports facilities,<br />
boat ramps, boat chutes, boat locks, launching<br />
and landing points<br />
MOTS-CLEFS<br />
tourisme nautique, conception des installations de<br />
sports nautiques, rampe de mise à l’eau, chutes<br />
pour sports nautiques, écluses, points de mise à<br />
l’eau, points de mise à terre.<br />
As part of the German Bundestag’s ‘Improving infrastructure<br />
and marketing for waterborne tourism<br />
in Germany’ initiative (Bundestag printed paper<br />
16/10593), the ‘Recommendations for the Confi guration<br />
of Water Sport Facilities on Inland Waterways’,<br />
which were issued by the Federal Ministry<br />
of Transport in 1979, have been radically revised.<br />
The revision took place from November 13, 2009<br />
until August 2011. All the associations relevant to<br />
recreational and pleasure shipping were consulted.<br />
The new ‘Guidelines for the Design of Water Sports<br />
Facilities along Inland Waterways’ [1] contain design<br />
guidance for recreational and pleasure shipping<br />
facilities that relate to the basic infrastructure<br />
provision. This includes all the necessary durable<br />
basic installations of a waterway network focused<br />
on the needs of waterborne tourism such as:<br />
− installations used to overcome a change in el-<br />
by<br />
GABRIELE PESCHKEN<br />
Bundesministerium für Verkehr,<br />
Bau und Stadtentwicklung,<br />
Referat WS 12 - Technik der Wasserstraßeninfrastruktur,<br />
Tel.: +49 228 300 4222<br />
Fax: +49 228 300 807 4222<br />
E-mail: gabriele.peschken@bmvbs.bund.de<br />
73<br />
evation<br />
− launching and landing points<br />
When the Guidelines were being drafted, as many<br />
technical solutions as possible were developed as<br />
a standard, especially in order to enhance safety<br />
through the recognition value of uniform systems.<br />
(see fi gure 1 and 2 on the next page)<br />
Another major principle in the revision was that the<br />
facilities should, as far as possible and wherever<br />
necessary, be designed with accessibility in mind.<br />
To meet the requirements of accessibility, it should<br />
not be necessary for users to disembark from their<br />
vessels to operate or use the facilities, or alternatives<br />
should be provided for mobility-impaired<br />
water sportsmen and women, e.g. operating the<br />
lock from the vessel or sharing use of the lock with<br />
other vessels.<br />
Fig. 3: Switching device for lock operation, source [1]<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
For overcoming changes in elevation, the ‘Guidelines<br />
on the Design of Water Sports Facilities along<br />
Inland Waterways’ formulate technical principles<br />
for the following types of installation:<br />
a) Boat ramps<br />
Boat ramps are one option for overcoming differences<br />
in elevation or for crossing between watercourses<br />
at different elevations. They can be used<br />
to transfer canoes, rowing boots and smaller motor<br />
boats and sailing boats (up to 300 kg).<br />
They can be installed either by themselves or, if<br />
necessary – especially when there is likely to be<br />
heavy traffic –, in combination with a boat chute<br />
or boat lock.<br />
Boat ramps consist of the launching points (slipways)<br />
with upstream and downstream landing<br />
points and the connecting path. They can be<br />
equipped with rails or designed as a boat ramp<br />
without rails. A boat ramp includes one or more<br />
trolleys to transport the boats.<br />
Figs. 1 and 2: Circular bollard, floating bollard, source [1]<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 74<br />
Fig. 4: Boat ramp with rails, source [1]<br />
Fig. 5: Boat ramp with rails, transferring downstream,<br />
source [1]
) Boat chutes<br />
By using a boat chute, a smaller – usually manually<br />
propelled – pleasure craft can overcome a difference<br />
in elevation downstream in a short time.<br />
Upstream, the vessels can be towed by hand. The<br />
costs of a constructing, operating and maintaining<br />
a boat chute are low. Boat chutes have a high<br />
capacity (number of boats per unit of time) and<br />
are thus suitable for use anywhere where there is<br />
heavy vessel traffic or where such traffic is likely<br />
because of the new installation.<br />
Fig. 6: Boat chute – church boat passing downstream,<br />
source [1]<br />
75<br />
c) Boat locks<br />
Locks for pleasure craft are required where ship<br />
locks are no longer able to cope with the traffic by<br />
themselves because of the high level of commercial<br />
shipping combined with a high level of recreational<br />
and pleasure shipping.<br />
The standard dimensions are as follows:<br />
Fig. 7: Boat chute – complete installation, source [1]<br />
Serviceable length (Ln) = 20.0 m<br />
Serviceable width (Bn) = 5.5 m<br />
Because of the trend toward wider boats, a Bn<br />
= 6 m should be aimed for.<br />
Fig. 8: Chamber of a lock for pleasure craft, source [1]<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Another key issue addressed by the Guidelines is<br />
landing and launching points, especially with regard<br />
to the structural design of slipways, wharves<br />
and steps.<br />
Fig. 9: Floating jetty with fender, source [1]<br />
Fig. 10: Landing point with steps, source [1]<br />
In addition to the aforementioned technical aspects,<br />
Chapter 13 of the Guidelines addresses<br />
standard markings and signage for facilities for<br />
recreational and pleasure shipping, in order to enhance<br />
safety on waterways.<br />
To ensure that visitors from abroad can easily recognise<br />
the signs and get directions, use is made<br />
not only of the Inland Waterways Regulations, but<br />
also of the ‘Pictograms for Pleasure Navigation’,<br />
published by <strong>PIANC</strong>, because they are the most<br />
familiar and widespread pictograms in Europe.<br />
New pictograms have been developed to mark a<br />
boat ramp, transfer facility and boat chute.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 76<br />
Fig. 11: Information signs, source [1]<br />
When the Guidelines were being drafted, particular<br />
emphasis was placed on graphical representation,<br />
and so the Guidelines include 42 drawings,<br />
most of which are provided for guidance. In addition,<br />
a series of photos provides valuable information.<br />
The ‘Guidelines for the Design of Water Sports Facilities<br />
along Inland Waterways’ can be downloaded<br />
from http://www.bmvbs.de/SharedDocs/DE/<br />
Artikel/WS/wassersport.html. It is recommended<br />
that the Guidelines also be applied to facilities for<br />
which the Federal Government is not the sponsoring<br />
entity, in order to continue the systematic<br />
approach.<br />
LITERATURE<br />
[1] Federal Ministry of Transport, Building and Urban<br />
Development (July 2011): “Guidelines for<br />
the Design of Water Sports Facilities along Inland<br />
Waterways”.
This report wants to inform about the the ‘Guidelines<br />
for the Design of Water Sports Facilities<br />
along Inland Waterways’, which contains design<br />
guidance for recreational and pleasure shipping<br />
Cet article vise à faire connaître le ‘Guide pour<br />
la conception des installations de sports nautiques<br />
sur les voies d’eau intérieures’, qui contient<br />
des recommandations de conception, relatives<br />
Dieser Bericht möchte über die „Richtlinie für die<br />
Gestaltung von Wassersportanlagen an Binnenwasserstraßen“<br />
(„Guidelines for the Design of<br />
Water Sports Facilities along Inland Waterways“)<br />
informieren, die gestalterische Anleitungen für Vor-<br />
SUMMARY<br />
RéSUMé<br />
ZUSAMMENFASSUNG<br />
77<br />
facilities that relate to the basic infrastructure provision.<br />
These Guidelines are issued by the German<br />
Federal Ministry of Transport, Building and<br />
Urban Affairs.<br />
aux infrastructures de base, pour la navigation<br />
de plaisance et de loisir. Ces recommandations<br />
sont émises par le ministère fédéral allemand des<br />
transports, de la construction et de l’urbanisme.<br />
richtungen der Sport- und Freizeit-Schifffahrt bezogen<br />
auf die Bereitstellung von Basis-Infrastruktur<br />
gibt. Diese Richtlinie wird vom Bundesministerium<br />
für Verkehr, Bau und Stadtentwicklung herausgegeben.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 78
RESEARCH ON CLIMATE CHANGE IMPACTS<br />
ON THE TRANSPORTATION SYSTEM<br />
OF THE EUROPEAN UNION<br />
KEY WORDS<br />
climate change, extreme weather, inland waterway<br />
transport, research, European Union<br />
MOTS-CLEFS<br />
changement climatique, conditions météorologiques<br />
exceptionnelles, transport par voie navigable<br />
intérieure, recherche, Union européenne<br />
1. INTRODUCTION<br />
Climate change is neither a new or discontinuous<br />
phenomenon, which is expected to change from<br />
one day to another one. Extreme weather events<br />
have been occurring in the past and today and the<br />
European transport sector has taken and is taking<br />
efforts in order to cope with such events to a<br />
greater or lesser extent. In the light of a projected<br />
accelerated change of the climate it is often assumed<br />
that extreme weather events are going to<br />
increase in severity and frequency. Nevertheless,<br />
it has to be noted that such conclusions are based<br />
on research results involving still high uncertainties<br />
due to the complexity of the problem. Furthermore,<br />
it is to be mentioned that climate change impacts<br />
may have also positive effects, e.g. reduced<br />
ice occurrence on certain inland waterways. While<br />
many studies focus on mitigation of greenhouse<br />
by<br />
79<br />
JUHA SCHWEIGHOFER<br />
Member of the <strong>PIANC</strong> Permanent Task Group<br />
on Climate Change (PTG CC)<br />
Paper presented during the last PTG CC Meeting<br />
via donau-Österreichische Wasserstraßen-Gesellschaft mbH<br />
Donau-City-Straße 1, A-1220 Vienna, Austria<br />
Tel.: +43 50 4321 1624<br />
Fax: +43 50 4321 1050<br />
E-mail: juha.schweighofer@via-donau.org<br />
gases in transport, research on the vulnerability of<br />
and adaptation to climate driven effects, namely<br />
extreme weather events, is rare, still.<br />
Considering the European transportation system,<br />
three projects have recently been carried out,<br />
funded by the Seventh Framework Programme of<br />
the European Union (EU). The concluded WEATH-<br />
ER and EWENT projects cover several modes of<br />
transport. Inland Waterway Transport is considered<br />
mainly by means of literature survey due to<br />
lack of information related to projected changes<br />
in hydrology. No hydrological models have been<br />
used directly in these two projects in order to evaluate<br />
climate change impacts on the navigation<br />
conditions and inland waterway transport. The still<br />
ongoing ECCONET project is focused on climate<br />
change impacts on inland waterway transport<br />
only, although effects on modal share including<br />
road and rail are investigated in addition. Full information<br />
on the projects, including public reports<br />
summarising the results obtained, can be found<br />
at www.weather-project.eu, www.ewent.vtt.fi and<br />
www.ecconet.eu.<br />
In the following the three projects are described,<br />
followed by descriptions of projected climate<br />
change impacts on navigation conditions, as well<br />
as possible adaptation measures to be considered.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
2. THE WEATHER PROJECT<br />
The WEATHER project (Weather Extremes: Impacts<br />
on Transport Systems and Hazards for European<br />
Regions) aimed at analysing the economic<br />
costs of climate change on transport systems in<br />
Europe and explored ways for reducing them in<br />
the context of sustainable policy design. The research<br />
was carried out by an international team of<br />
eight European institutes, led by the Fraunhofer<br />
Institute for Systems and Innovation Research<br />
(ISI). The project was conducted from November<br />
2009 until April 2012.<br />
The core objective was to “determine the physical<br />
impacts and the economic costs of climate change<br />
on transport systems and identify the costs and<br />
benefits of suitable adaptation and emergency<br />
management strategies”.<br />
This general objective was achieved by:<br />
• Development of a dynamic model on the causal<br />
relations between the severity and frequency of<br />
extreme events, the functionality of critical sectors<br />
and social welfare<br />
• Detailed assessment of the vulnerable elements<br />
and damage costs in transport systems<br />
• Working out efficient and innovative mechanisms<br />
of managing disastrous events, focusing<br />
on maintaining the function of transport systems<br />
• Identification of appropriate and efficient adaptation<br />
strategies for transportation infrastructures<br />
and services to ease the impacts of extreme<br />
events in the future<br />
• Clarification of the role of governments, companies<br />
and industry associations<br />
• Checking the applicability of theoretical concepts<br />
of vulnerability assessment, crises prevention<br />
and adaptation strategies with practical<br />
experiences and local conditions<br />
Inland waterway transport was considered in relation<br />
to vulnerability of transport systems, innovative<br />
emergency management strategies (e.g.<br />
ELWIS and DoRIS), adaptation strategies in the<br />
transport sector and case studies with a comprehensive<br />
description of the impact of the drought<br />
in the year 2003 on inland waterway transport.<br />
Related to adaptation measures of the fleet the<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 80<br />
results are considered as rather general. The area<br />
considered was limited mainly to the Rhine.<br />
3. THE EWENT PROJECT<br />
The EWENT project (Extreme Weather Impacts<br />
on European Networks of Transport) was carried<br />
out by an international consortium consisting of<br />
nine institutions covering transport science, economics<br />
and meteorology. The project was co-ordinated<br />
by the State Research Centre of Finland<br />
(VTT). It started in December 2009 and it was<br />
completed in May 2012. EWENT addressed the<br />
EU policies and strategies on climate change with<br />
a particular focus on extreme weather impacts on<br />
the EU transportation system. The methodological<br />
approach was based on a generic risk management<br />
framework which follows a standardised<br />
process starting with the identification of hazardous<br />
extreme weather phenomena, followed by an<br />
impact assessment and concluded by adaptation<br />
and risk control measures. In detail, the project<br />
comprised:<br />
• Identification and definition of hazards on the<br />
EU transport system<br />
• Estimation of the probabilities of risk scenarios<br />
related to extreme weather events<br />
• Estimation of the consequences of extreme<br />
weather events based on the scenarios developed<br />
• Monetisation of harmful consequences for each<br />
mode of transport considered<br />
• Risk assessment based on impact evaluation<br />
and options for reduction and control of harmful<br />
events resulting from extreme weather<br />
• Analysis of different management and policy<br />
options<br />
The transport modes considered comprise:<br />
• Aviation (passenger, freight)<br />
• Land transport (road, rail, light traffic; passenger,<br />
freight)<br />
• Short sea shipping<br />
• Inland waterway transport (freight)<br />
The transport system is considered with respect<br />
to infrastructure, operations and indirect impacts<br />
to third parties, e.g. supply chain customers and<br />
industrial actors.
via Donau was involved in the project as the only<br />
project partner fulfilling tasks comprising the review<br />
of research work and investigations with<br />
respect to inland waterway transport and inland<br />
waterway infrastructure in relation to extreme<br />
weather events (risk identification, risk impact assessment,<br />
risk mitigation and risk management).<br />
The research related to inland waterway transport<br />
was carried out in close co-operation with the EC-<br />
CONET project.<br />
The core results related to inland waterway transport<br />
can be summarised as:<br />
In the Rhine-Main-Danube corridor no decrease in<br />
the performance of inland waterway transport due<br />
to extreme weather events is expected till 2050.<br />
Extreme weather events relevant to inland waterway<br />
transport are low-water events (drought),<br />
high water events (floods) and ice occurrence. Of<br />
less importance are wind gusts and reduced visibility.<br />
Most available climate change projections<br />
indicate: there is no convincing evidence that lowwater<br />
events will become significantly severer<br />
on the Rhine as well as the Upper Danube in the<br />
near future. On the Lower Danube some impact<br />
of drought in association with increased summer<br />
heat might appear, demanding however dedicated<br />
research. However, for completeness, it is to<br />
be noted that few single projections arrive at contrary<br />
results (e.g. when using the extreme KNMI<br />
06 W+ scenario). Related to high-water events<br />
no reliable statement with respect to increase of<br />
discharge and frequency of occurrence can be<br />
given. However, consideration of floods on inland<br />
waterways will remain important also in the future<br />
due to reasons related to flood protection. Ice occurrence<br />
is decreasing, due to global warming, as<br />
well as human impacts leading to shorter periods<br />
of suspension of navigation in regions where navigation<br />
may be prevented by ice. Wind gusts are<br />
expected to remain on the same level as today,<br />
considering the results of EWENT, thereby not decreasing<br />
the safety of inland waterway transport.<br />
Visibility seems to improve if results for European<br />
airports are considered, thereby improving the<br />
safety of inland waterway transport as well as operation<br />
of inland waterway vessels.<br />
Improving the inland waterway infrastructure by<br />
implementation of the respective TENT-T priority<br />
projects acknowledged by the European Commis-<br />
81<br />
sion, as well as proper national maintenance and<br />
river engineering activities, will have a significant<br />
positive impact on the reduction of the vulnerability<br />
of inland waterway transport to extreme weather<br />
events today and in the future. Further measures<br />
with high potential comprise the development of<br />
customer oriented waterway management as well<br />
as River Information Services and new Information<br />
and Communication Technologies. Related to<br />
flood protection it is important to be aware of the<br />
consequences of flooding, fostering the provision<br />
of financial means dedicated to the implementation<br />
of flood-protection projects, e.g. as it took place in<br />
Austria after the August flood in 2002. Flood protection<br />
measures comprise installation, maintenance<br />
and refurbishment of structural works, e.g.<br />
dykes. A variety of further flood protection measures<br />
is described in the Dutch programme Room<br />
for the River. Non-structural measures comprise<br />
improved flood-prediction and alert systems, as<br />
well as creation and utilisation of dedicated alert<br />
plans, regulating the responsibilities and activities<br />
of the task forces, the communication and information<br />
flows as well as which and where flood<br />
protection measures are to be taken in the case<br />
of a flood event.<br />
In October 2012 a follow-up project of EWENT,<br />
MOWE IT (Management of weather events in the<br />
transport system), was launched by the European<br />
Commission. The project is funded within the<br />
Seventh Framework Programme of the European<br />
Union. Adaptation strategies related to inland waterway<br />
transport, focusing on the provision of improved<br />
safety and service standards, as well as<br />
ship technology, are considered.<br />
4. THE ECCONET PROJECT<br />
The ECCONET project (Effects of Climate Change<br />
on the Inland Waterway Network) is currently one<br />
of the most relevant climate change projects to<br />
inland waterway transport on European level. It<br />
started in January 2010 and it is expected to be<br />
concluded in December 2012. ECCONET is conducted<br />
by an interdisciplinary consortium of ten<br />
partners and it is co-ordinated by Transport & Mobility<br />
Leuven. The objective of ECCONET is to assess<br />
the navigation conditions in the future, taking<br />
into account the influence of climate change on<br />
the waterway network. In parallel, ECCONET also<br />
analyses the possibility for adaptation measures<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
to improve the performance of inland waterway<br />
transport in the light of climate change. Taking into<br />
account its complex and ambitious nature, EC-<br />
CONET integrates past and ongoing research in<br />
meteorology, hydrology, infrastructure operation,<br />
shipbuilding, transportation and economics. This<br />
is reflected in a diverse consortium with partners<br />
of international scientific excellence and high personal<br />
motivation.<br />
The activities carried out comprise:<br />
• Determination of the effects of climate change<br />
on the inland waterway network by applying<br />
recent findings from meteorological and hydrological<br />
modelling<br />
• Determination and assessment of a broad<br />
range of adaptation strategies with relevance to<br />
climate change<br />
• Usage of transport economic modelling to calculate<br />
network based effects on critical links of<br />
inland waterway transport<br />
• Formulation of policy advice for a sustainable<br />
development of the inland waterway network<br />
under climate change conditions<br />
Focused on the Rhine-Main-Danube corridor, the<br />
effects on navigation conditions are summarised<br />
in the following section (reproduced from the executive<br />
summary of the ECCONET Deliverable<br />
1.5: Impact of Climate Change on Hydrological<br />
Conditions of Navigation), as well as an overview<br />
of adaptation measures considered is given in<br />
Section 7.<br />
5. CLIMATE CHANGE EFFECTS ON<br />
HYDROLOGY<br />
The Lower Rhine is characterised by a snow- and<br />
rain-driven hydrological regime. Discharge projections<br />
in the distant future indicate a change towards<br />
lower values in the summer time and higher<br />
ones in the winter time. The tendency in the summer<br />
time may be considered critical on the Middle<br />
and the Lower Rhine because already in the actual<br />
situation the discharges are low at that time.<br />
For the near future the projections of the summer<br />
discharges do not show a clear change.<br />
On the Upper Danube both an increase of winter<br />
discharges and a decrease of summer discharges<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 82<br />
are projected. The consequences are, however,<br />
different compared with the River Rhine given the<br />
fact that at present the Upper Danube shows a<br />
more snow-driven hydrological regime. For the<br />
upcoming decades a relief of winter low-water<br />
situations is projected due to the changing climate<br />
indicating less snowfall and higher liquid precipitation.<br />
The currently higher summer discharges will<br />
be reduced, yet they will still be higher than the<br />
ones in winter. For the middle and the end of the<br />
current century, however, the low-water situation<br />
might become more severe on the Upper Danube.<br />
This is an effect of a permanent shift from a<br />
snow- and ice dominated regime towards a more<br />
rain-dominated one. This tendency can be seen in<br />
measured records over the 20th century, and it is<br />
projected to continue in the 21st century.<br />
ECCONET has collected much information on the<br />
span of climate change effects as simulated by<br />
different climate models. This makes uncertainties<br />
of simulation with today’s models transparent.<br />
In Tables 1 and 2 the results obtained for the Rhine<br />
and the Upper Danube are summarised. The<br />
colour codes indicate the trends of the changes.<br />
Blue indicates a rising trend (a great majority of<br />
about 80 % of projections indicates an increasing<br />
trend), orange a decreasing trend (a great<br />
majority of about 80 % of projections indicates<br />
a decreasing trend) and grey no unambiguous<br />
trend (approximately the same number of projections<br />
shows an increasing trend and a decreasing<br />
trend) of the parameter under consideration.<br />
6. CLIMATE CHANGE EFFECTS ON<br />
NAVIGATION CONDITIONS<br />
Based on the investigations described above, the<br />
impact of hydrological changes due to climate<br />
change on the navigation conditions in the Rhine-<br />
Main-Danube corridor can be assessed. Whenever<br />
possible, the changes related to navigation conditions<br />
are expressed as the average number of days<br />
per year when navigation is restricted or suspended<br />
by hydrological phenomena like low water, high<br />
water and ice formation as well as meteorological<br />
phenomena like fog. The values representing possible<br />
future conditions are compared with observed<br />
values to assess whether the future changes pose<br />
‘new’ challenges to the navigation sector.
Table 1: Changes of the mean discharge (MQ) and the lowest 7-day mean discharge (NM7Q)<br />
between 30-year periods of the simulated present (1961-1990) and the near future (2021-2050)<br />
as well as the distant future (2071-2100) in percent, presented for the Rhine 1<br />
Table 2: Changes of the mean discharge (MQ) and the 90 %-quantile of the flow duration curve (indicator for<br />
low water situations) between 30-year periods of the simulated present (1961-1990) and the near future<br />
2021-2050) as well as the distant future (2071-2100) in percent, presented for the Upper Danube.<br />
1 Görgen, K., Beersma, J., Brahmer, G., Buiteveld, H., Carambia, M., De Keizer, O., Krahe, P., Nilson, E., Lammersen, R., Perron, C. and<br />
Volken, D. (2010): “Assessment of climate change impacts on discharge in the Rhine River Basin: Results of the RheinBlick2050 Project”,<br />
CHR Report No. I-23. pp. 51-95. http://www.chr-khr.org/files/CHR_I-23.pdf.<br />
ICPR (2011): “Study of Scenarios for the Discharge Regime of the Rhine”, International Commission for the Protection of the Rhine, Report<br />
no. 188.<br />
83<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Navigation in the Rhine-Main-Danube corridor is<br />
to a large degree dependent on climate conditions<br />
and therefore affected by climate change. The<br />
results obtained show that the effects of climate<br />
change on navigation need to be looked at in a<br />
differentiated way.<br />
Firstly, there needs to be a distinction between<br />
single ‘weather phenomena’, which last from minutes<br />
up to a few months (e.g. the low-water situations<br />
in 2003 and 2011) and ‘climate phenomena’,<br />
which represent long-term mean meteorological<br />
characteristics (e.g. the reorganisation of the general<br />
high-water and low-water seasons). Effects of<br />
climate change can be reflected only by ‘climate<br />
phenomena’ and can be detected in multi-annual<br />
statistics only.<br />
Secondly, the results point towards ambivalent effects<br />
of climate change on navigation conditions<br />
depending on the period and the variable under<br />
investigation. Summarising the results (see Table<br />
3), it can be concluded that during the last decades<br />
restrictions of navigation due to low water<br />
and ice formation have become less frequent. For<br />
the middle of the 21st century there is no clear<br />
change in the frequency of low-water situations on<br />
the Middle Rhine, while on the Upper Danube several<br />
projections show an increase, being however<br />
minor. For the distant future low-water situations<br />
are projected to become more frequent, while the<br />
disposition related to ice formation shows a decreasing<br />
tendency over the whole 21st century.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 84<br />
This positive effect on navigation does not apply to<br />
the River Rhine as there navigation has not been<br />
suspended due to ice since the 1960s. Restrictions<br />
due to high water are projected to become more<br />
frequent on the Middle Rhine in the 21st century.<br />
On the Upper Danube there are some indications<br />
that high-water events will not change very much<br />
until the mid of the 21st century. For the distant<br />
future, there is currently no clear tendency related<br />
to the occurrence of high water, considering available<br />
data and literature. The same applies to future<br />
fog conditions.<br />
Table 3 summarises the main effects of climate<br />
change on phenomena relevant to navigation.<br />
The summary is intentionally a qualitative one.<br />
An effect is marked as ‘positive effect’ when the<br />
observations (past) or a majority of discharge projections<br />
(future) point towards reduced restrictions<br />
for navigation. A ‘negative effect’ is assigned when<br />
the observations (past) or a majority of discharge<br />
projections (future) show an increase of restrictions.<br />
The notation ‘no effect’ is chosen (a) when<br />
the observations do not show any clear tendency,<br />
(b) the ensemble of discharge projections shows<br />
different directions of change or (c) a stretch of<br />
the waterway is not sensitive to climate changes.<br />
Lack of reliable data or unequivocal information is<br />
marked by ‘unknown’. The findings marked by ‘*’<br />
are not based on direct observations or modelling.<br />
They are concluded from other findings derived<br />
e.g. for neighbouring regions or from literature.<br />
Table 3: Summary of general effects of climate and hydrological change on navigation presented for the second<br />
half of the 20th century (tendency 1950-2005), the middle of the 21st century (change 2021-2050 vs. 1961-<br />
1990) and the end of the 21st century (change 2071-2100 vs. 1961-1990)
7. ADAPTATION MEASURES<br />
Using the knowledge gained with respect to<br />
changes in hydrology and navigation conditions,<br />
the impact of climate change on inland waterway<br />
transport could be evaluated, and proper adaptation<br />
measures could be elaborated and assessed.<br />
Four different types of adaptation strategies were<br />
considered:<br />
• Fleet- and transport-related strategies covering<br />
technical approaches, e.g. adjustment of the<br />
fleet, operational concepts as well as logistic<br />
chains including other modes of transport, e.g.<br />
rail<br />
• Infrastructure measures (adaptation of waterway<br />
infrastructure) so as to maintain minimum<br />
water depths<br />
• Possibilities for improved methods of water<br />
level forecasting (e.g. seasonal time-scales) to<br />
support the shipping industry<br />
• Measures and options for the shipping industry<br />
in terms of short- or mid-term storekeeping,<br />
shifts to other transport modes or adaptation of<br />
production procedures<br />
Including partly cost considerations, the adaptation<br />
strategies mentioned above have been described<br />
comprehensively in several reports to be<br />
downloaded from the project website. The reader<br />
is kindly advised to consult these reports for further<br />
details.<br />
For all identified adaptation measures the level of<br />
feasibility is known. Improved vessel design and<br />
operation (e.g. single vessel versus coupled formation),<br />
as well as waterway maintenance and<br />
river engineering works seem to be of highest relevance<br />
after the assessment performed.<br />
8. FINAL REMARKS<br />
Similarly to other modes of transport, inland waterway<br />
transport has to deal with weather events,<br />
affecting navigation conditions and the infrastructure<br />
on inland waterways. Most significant extreme<br />
weather events result from high precipitation,<br />
droughts as well as temperatures below zero<br />
Celsius degrees. Heavy rainfall, in particular in<br />
association with snow melt, may lead to floods resulting<br />
in suspension of navigation and causing<br />
85<br />
damage to the inland waterway and other transport<br />
infrastructure as well as the property and<br />
health of human beings living in areas exposed to<br />
flooding. Long periods of drought may lead to reduced<br />
discharge and low water levels limiting the<br />
cargo carrying capacity of vessels and increasing<br />
the specific costs of transportation and temperatures<br />
below zero degrees Celsius over a longer<br />
period may cause the appearance of ice on waterways<br />
leading possibly to suspension of navigation<br />
and damage of infrastructure. These extreme<br />
weather events are affected by climate change either<br />
positively or adversely from the point of view<br />
of inland waterway transport and they are different<br />
in severity for the different regions of the European<br />
Union.<br />
By having launched the projects WEATHER,<br />
EWENT and in particular ECCONET, the European<br />
Commission established more clarity related<br />
to weather and climate change impacts on inland<br />
waterway transport in the European Union.<br />
National programmes like the KLIWAS Programme<br />
in Germany provide a good knowledge basis of<br />
climate change impacts on inland waterway transport<br />
performed on German waterways, which was<br />
used in at least EWENT and ECCONET. For other<br />
European waterways such programmes dedicated<br />
in particular to inland waterway transport are<br />
not sufficiently available. Lack of such knowledge<br />
is given for e.g. the Central and the Lower Danube<br />
where more research would be required in a<br />
similar way as it was performed in the KLIWAS<br />
Programme for the German waterways.<br />
9. REFERENCES<br />
- ECCONET Project: www.ecconet.eu<br />
- EWENT Project: www.ewent.vtt.fi<br />
- WEATHER Project: www.weather-project.eu<br />
- KLIWAS Programme: www.kliwas.de<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
Recently, the European Commission launched<br />
three projects related to the evaluation of weather<br />
and climate change impacts on the transportation<br />
system of the European Union. Funded within the<br />
Seventh Framework Programme of the European<br />
Union, the projects WEATHER and EWENT con-<br />
La Commission européenne a lancé récemment<br />
trois projets liés à l’évaluation des conditions météorologiques<br />
et des impacts des changements<br />
climatiques sur le système de transport dans<br />
l’Union Européenne. Financés par le septième<br />
programme-cadre de l’Union européenne, les<br />
Vor kurzem wurden durch die Europäische Kommission<br />
drei Projekte in Auftrag gegeben, die<br />
sich mit den Auswirkungen von extremen Wetterereignissen<br />
und des Klimawandels auf das<br />
europäische Transportsystem befassten. Diese<br />
Projekte wurden durch das Siebte Rahmenprogramm<br />
der Europäischen Union gefördert. Zwei<br />
Projekte, WEATHER und EWENT, befassten sich<br />
SUMMARY<br />
RéSUMé<br />
ZUSAMMENFASSUNG<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 86<br />
sider all modes of transport, while the project EC-<br />
CONET focuses on inland waterway transport,<br />
complementing the other two projects. This paper<br />
gives a brief overview of the projects launched,<br />
including some selected results obtained.<br />
projets WEATHER et EWENT analysent tous les<br />
modes de transport, tandis que le projet ECCO-<br />
NET, en complément, met l’accent sur le transport<br />
par voie navigable. Cet article donne un bref aperçu<br />
des projets lancés avec quelques exemples de<br />
résultats obtenus.<br />
mit allen Verkehrsträgern. In Ergänzung zu den<br />
erwähnten zwei Projekten war das Projekt EC-<br />
CONET im Wesentlichen auf die Binnenschifffahrt<br />
konzentriert. Dieser Artikel versucht einen kurzen<br />
Überblick über die durchgeführten Projekte zu geben,<br />
wobei auch einige ausgewählte Ergebnisse<br />
vorgestellt werden.
NEWS FROM THE NAVIGATION COMMUNITY<br />
FIND <strong>PIANC</strong> INTERNATIONAL ON THE SOCIAL NETWORKS!<br />
As today’s world is evolving ever so fast, <strong>PIANC</strong> couldn’t stay behind and entered<br />
‘the modern era’ like so many others by joining the social networks of LinkedIn,<br />
Facebook and Twitter!<br />
Find <strong>PIANC</strong> on the following URL’s, join us and find out all the latest news and<br />
information about what is going on in the <strong>PIANC</strong> community:<br />
http://be.linkedin.com/pub/pianc-international/61/386/2a<br />
https://twitter.com/<strong>PIANC</strong>1<br />
https://www.facebook.com/pages/<strong>PIANC</strong>-The-World-Associationfor-Waterborne-Transport-Infrastructure/175978305876451?fref=ts<br />
87<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
NEWS FROM THE NAVIGATION COMMUNITY<br />
ITALY<br />
<strong>PIANC</strong><br />
RecCom<br />
Marina Designer<br />
Training Program<br />
The <strong>PIANC</strong> Marina Designer Training<br />
Program (MDTP) will be held<br />
in the Ministry of Infrastructure in<br />
Rome on January 21-26, 2013. The<br />
duration of the course will be five<br />
days with final examinations at the<br />
end. On the sixth day some technical<br />
visits will take place near the city<br />
of Rome. The official language of the<br />
course will be English.<br />
International attendees should have<br />
a degree in technical matters (engineering,<br />
architecture, or similar)<br />
and/or having a CV involved in one<br />
or more of these fields: marina planning,<br />
design, construction or management.<br />
The registration fees are the following:<br />
- € 1,500 for non-<strong>PIANC</strong> members<br />
- € 1,250 for candidates who have<br />
been <strong>PIANC</strong> members during the<br />
last two years<br />
The course will take place if a sufficient<br />
number of attendees will be<br />
reached.<br />
Candidacies and CV/resume have<br />
to be sent via e-mail to mdtp@pianc.<br />
org, with carbon copy to Ms Sabine<br />
Van de Velde (sabine.vandevelde@<br />
pianc.org), Ms Cinthia Gianani (cinthia.gianani@mit.gov.it)<br />
and Mr Elio<br />
Ciralli (elio.ciralli@cirallistudio.com).<br />
More detailed information, as well as<br />
the First Announcement Flyer, Tentative<br />
Program and Agenda can be<br />
found at http://www.pianc.org/reccomMDTP.php.<br />
Elio Ciralli<br />
Chairman of <strong>PIANC</strong> RecCom<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 88<br />
Trelleborg Marine Systems<br />
wins Contract to Supply<br />
Fenders for Salerno Port<br />
Trelleborg was involved in the Salerno<br />
Port project in Italy from the<br />
beginning, when the consultant contacted<br />
them for input into fender design<br />
and specification.<br />
Trelleborg was required to meet a<br />
number of design parameters such<br />
as restricted space for the cone<br />
fender due to a limited high capping<br />
beam. Delivery times are short but<br />
Trelleborg was able to deliver, to<br />
deadline, 34 sets of SCN1300 Super<br />
Cone Fender Systems and 24 sets<br />
of Tee Head bollards 100t to the port<br />
in November. The solution provided<br />
by Trelleborg Marine Systems met<br />
the requirements of both parties: the<br />
port authorities wanted a reliable solution,<br />
with a long life cycle. For the<br />
contractor, an important factor was<br />
the necessity of an accessible dedicated<br />
project management team,<br />
and the assurance of high quality<br />
aftercare.<br />
The fenders supplied by Trelleborg<br />
are fully compliant with <strong>PIANC</strong>’s<br />
2002 – ‘Guidelines for the design of<br />
fender systems’. They have undergone<br />
both laboratory and full scale<br />
product testing and, as a manufacturing<br />
company, Trelleborg are able<br />
to deliver assurance that the products<br />
meet their stated performance<br />
characteristics, and provide the high<br />
levels of aftercare and maintenance<br />
that the contractor required.<br />
Hannah Leyland<br />
PR Account Manager<br />
NORWAY<br />
CoMEM Erasmus Mundus<br />
Scholarships<br />
The Erasmus Mundus MSc pro-<br />
gramme in Coastal and Marine Engineering<br />
and Management (CoMEM),<br />
supported and sponsored by the European<br />
Union, is currently entering<br />
its 6th cohort. By now 76 candidates<br />
from 29 different countries have<br />
graduated or are in their final year of<br />
studies.<br />
The Erasmus Mundus Master in<br />
Coastal and Marine Engineering<br />
and Management (CoMEM) is a<br />
two-year, English taught international<br />
Master’s programme, in which<br />
five high-rated European universities<br />
participate. Students study key<br />
issues involved in providing sustainable,<br />
environmentally friendly, legally<br />
and economically acceptable<br />
solutions to various problems in the<br />
CoMEM field; they will also develop<br />
their research skills. In doing so,<br />
they get to know the geographical<br />
diversity of coastal and marine systems<br />
including the Arctic and gain<br />
knowledge on the most advanced<br />
tools and techniques.<br />
During the programme, students<br />
study at universities in two or three<br />
different countries. All students spend<br />
the first semester in Trondheim, Norway.<br />
The next semesters depending<br />
on their choice of specialisation<br />
they will visit one or two of following<br />
universities: UPC BarcelonaTech<br />
(Spain), TU Delft (The Netherlands),<br />
City University London (UK) and/or<br />
the University of Southampton (UK).<br />
Erasmus Mundus Scholarships are<br />
available for both European and<br />
non-European applicants.<br />
The programme is also open for selffinanced<br />
applicants with application<br />
deadline set on March 1st, 2013. To<br />
apply online, please visit http://www.<br />
ntnu.edu/studies/mscomem/application.
NEWS FROM THE NAVIGATION COMMUNITY<br />
BELGIUM/<br />
THE NETHERLANDS<br />
<strong>PIANC</strong>-<br />
SMART Rivers 2013<br />
Call for Abstracts<br />
The <strong>PIANC</strong>-SMART Rivers Conference<br />
is a biennial forum bringing<br />
together those involved in river<br />
transport form developing and developed<br />
countries in the world. The<br />
<strong>PIANC</strong>-SMART Rivers Conference<br />
2013, the sixth of its kind, is unique<br />
because it will be held in two cities<br />
along the same river: Maastricht,<br />
The Netherlands and Liège, Belgium<br />
both bordering the river Meuse, 25<br />
km apart.<br />
The SMART Rivers Conference<br />
started as an initiative of major international<br />
organisations in the field of<br />
Inland Water Transport to promote<br />
transport by barge, the first conference<br />
being held in 2005 in Pittsburgh,<br />
USA. As from 2011, SMART<br />
Rivers is placed under the umbrella<br />
of <strong>PIANC</strong>, the World Association for<br />
Waterborne Transport Infrastructure.<br />
The organisation is entrusted to the<br />
<strong>PIANC</strong> Sections of The Netherlands<br />
and Belgium.<br />
The <strong>PIANC</strong>-SMART Rivers Conference<br />
2013 will include two days for<br />
meetings of Commissions, Working<br />
Groups and workshops in Maastricht,<br />
two days for presentations<br />
in Liège and one day for technical<br />
excursions to The Netherlands and<br />
Belgium. Moreover, it will offer ample<br />
opportunities for networking.<br />
Please visit http://www.smartrivers<br />
2013.org/home/ or download the Call<br />
for Abstracts at http://www.pianc. org/<br />
downloads/events/<strong>PIANC</strong>-SMART<br />
%20Rivers%202013%20-%20Call%20<br />
for%20Papers%20-%20final%20version.pdf<br />
to find out all about this very<br />
interesting conference.<br />
Jolke Brolsma<br />
<strong>PIANC</strong> The Netherlands<br />
Philippe Rigo<br />
<strong>PIANC</strong> Belgium<br />
THE NETHERLANDS<br />
Ports and Terminals –<br />
By Han Ligteringen<br />
and Hugo Velsink<br />
This new book is based on the reader<br />
developed by the two authors<br />
during their consecutive (part-time)<br />
position in the chair of Ports and<br />
89<br />
Waterways in the Faculty of Civil Engineering<br />
and Geosciences at Delft<br />
University of Technology. Throughout<br />
the 33 years of their total tenure<br />
the new developments in practical<br />
engineering and results of academic<br />
research were merged in subsequent<br />
editions of the reader. In that<br />
respect the many contributions from<br />
colleagues and researchers to the<br />
document and the valuable information<br />
from <strong>PIANC</strong> Working Groups<br />
and IAPH Committees are gladly acknowledged.<br />
The book treats planning and design<br />
of ports and terminals, not only from<br />
an engineering perspective but also<br />
addressing economic, environmental<br />
and organisational aspects that<br />
are essential in developing a modern<br />
port. Recent trends in container<br />
shipping, leading to ever increasing<br />
demands on the flexibility of port infrastructure,<br />
are included.<br />
However, this does not mean that<br />
the text is focussed on the planning<br />
and design of very large ports and<br />
sophisticated terminals only. On the<br />
contrary, much of the knowledge<br />
and experience related to smaller<br />
ports and ports in developing countries<br />
has been included in the book,<br />
thereby also actualising the valuable<br />
– be it a little outdated – sources,<br />
such as the UNCTAD Handbook on<br />
Port Development. In other words,<br />
the book is aimed at guiding planners<br />
and designers of any type of<br />
port facility, all over the world.<br />
Han Ligteringen<br />
Author<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
NEWS FROM THE NAVIGATION COMMUNITY<br />
UNITED STATES<br />
Dredging 2012 –<br />
Presentations<br />
and Pictures<br />
The Dredging 2012 Conference,<br />
which took place in San Diego, USA<br />
on October 22-25, 2012 has been a<br />
great success! PowerPoint presentations<br />
and pictures taken by the official<br />
photographer have been posted<br />
to the Dredging 2012 Conference<br />
Website:<br />
- Presentations: http://dredging12.<br />
pianc.us/ag_tech.cfm<br />
- Pictures: http://dredging12.pianc.<br />
us/ag_photogallery.cfm<br />
Please note that only the presentations<br />
that were received from presenters<br />
are posted here. There were<br />
some last minute cancellations and<br />
some presenters were not allowed<br />
to post their presentations. Therefore,<br />
not all sessions will have a presentation<br />
attached.<br />
ASCE Releases New<br />
Economic Analysis<br />
Revealing Far-Reaching<br />
Impacts of Under-Investing<br />
in our Nation’s Ports and<br />
Inland Waterways<br />
Aging infrastructure for marine<br />
ports, inland waterways and airports<br />
threatens more than 1 million U.S<br />
.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012 90<br />
jobs according to a new Failure to<br />
Act report from the American Society<br />
of Civil Engineers (ASCE). Between<br />
now and 2020, investment<br />
needs in the nation’s marine ports<br />
and inland waterways sector total<br />
$ 30 billion, while planned expenditures<br />
are about $ 14 billion, leaving<br />
a total investment gap of nearly $ 16<br />
billion. Similarly, with airports, between<br />
now and 2020 there is an investment<br />
need of about $ 114 billion,<br />
while anticipated spending is $ 95<br />
billion, leaving a gap of nearly $ 19<br />
billion, as well as an additional need<br />
of about $ 20 billion to implement<br />
NextGen. The report concludes that<br />
unless America’s infrastructure investment<br />
gaps are filled, transporting<br />
goods will become costlier, prices<br />
will rise, and the United States<br />
will become less competitive in the<br />
global market. As a result, employment,<br />
personal income and GDP will<br />
all fall due to inaction.<br />
“Congestion and delays lead to<br />
goods waiting on docks and in warehouses<br />
for shipment, which in turn<br />
leads to higher transportation costs<br />
and higher-priced products on store<br />
shelves,” said Andrew W. Herrmann,<br />
P.E., president of ASCE. “If we don’t<br />
close the investment gaps, everyone<br />
is going to feel the negative impacts<br />
because we are on course to lose<br />
more than one million jobs and more<br />
than $ 1 trillion in personal income<br />
by 2020.”<br />
The nation’s marine ports and inland<br />
waterways are critical links that<br />
make international commerce possible.<br />
However, with the scheduled<br />
expansion of the Panama Canal by<br />
2015, the average size of container<br />
ships is likely to increase significantly,<br />
affecting the operations ant most<br />
of the major U.S. ports that handle<br />
containerised cargo and requiring<br />
both sectors to modernise. Needed<br />
investment in marine ports includes<br />
harbour and channel dredging, while<br />
inland waterways require new or rehabilitated<br />
lock and dam facilities.<br />
“Strong ports mean more jobs and<br />
economic growth,” said Congressman<br />
Ted Poe (TX-2), co-founder<br />
and co-chair of the bipartisan Congressional<br />
PORTS Caucus. “Supporting<br />
port infrastructure helps the<br />
U.S. remain globally competitive and<br />
creates economic opportunity here<br />
at home. The ASCE report highlights<br />
the shortcomings of our nation’s in<br />
vestments and seeks to help policymakers<br />
understand where impro-
NEWS FROM THE NAVIGATION COMMUNITY<br />
vements are needed and where they<br />
make financial sense.”<br />
The United States has 300 commercial<br />
ports, 12,000 miles of inland and<br />
intra-coastal waterways and about<br />
240 lock chambers, which carry<br />
more than 70 % of U.S. imports by<br />
tonnage and just over half of our imports<br />
by value. To remain competitive<br />
on a global scale, U.S. marine<br />
ports and inland waterways will require<br />
investment in the coming decades<br />
beyond the $ 14.4 billion currently<br />
expected. ASCE reports that<br />
with an additional investment of $<br />
15.8 billion between now and 2020,<br />
the U.S. can eliminate this drag on<br />
economic growth and protect:<br />
• $ 270 billion in U.S. exports<br />
• $ 697 billion in GDP<br />
• 738,000 jobs annually<br />
• $ 872 billion in personal income,<br />
or $ 770 per year for households<br />
“I have made it my priority in Congress<br />
to raise the profile of ports<br />
and the role they play in our national<br />
economy”, remarked Congresswoman<br />
Janice Hahn (CA-36), co-founder<br />
and co-chair of the bipartisan Congressional<br />
PORTS Caucus. “The<br />
study that ASCE has just released<br />
shows the urgency of investing in<br />
this critical component of our infrastructure<br />
and what the cost will be<br />
to every American family if we fail to<br />
recognise the importance of our nation’s<br />
ports.”<br />
Commercial aircraft operations at the<br />
15 major metro markets are projected<br />
to grow significantly in the coming<br />
decades. Passenger traffic at these<br />
airports is expected to increase by<br />
almost one-third by 2020 and more<br />
than double by 2040. Freight shipments<br />
by air are expected to increase<br />
54 % by 2020. Costs attributable<br />
to airport congestion will rise<br />
from $ 24 billion in 2012 to $ 34 billion<br />
in 2020 and is expected to reach<br />
$ 63 billion by 2040 as congestion<br />
worsens. But, with additional annual<br />
investments of $ 2.1 billion per year,<br />
plus the development of NextGen,<br />
the U.S. can protect:<br />
• $ 54 billion in exports<br />
• $ 313 billion in GDP<br />
• 350,000 jobs<br />
• $ 361 billion in personal income,<br />
or $ 320 per year for households<br />
“The fact is we must invest in U.S.<br />
airports today to ensure the global<br />
competitiveness of our country tomorrow”,<br />
said Greg Principato, president<br />
of Airports Council International-North<br />
America (ACI-NA). “ASCE’s<br />
report underscores the importance<br />
of making these investments and,<br />
as importantly, the consequences of<br />
failing to invest.”<br />
Costs attributable to delays in the nation’s<br />
inland waterways system were<br />
$ 33 billion in 2010. These costs in<br />
particular reverberate throughout<br />
the economy given the heavy reliance<br />
of energy inputs like petroleum<br />
and coal on inland waterway<br />
transportation. This cost is expected<br />
to increase to nearly $ 49 billion by<br />
2020.<br />
The full Failure to Act report, including<br />
infographics depicting data<br />
trends, can be found at www.asce.<br />
org/failuretoact and includes the interaction<br />
between investment levels<br />
in the transportation sector and the<br />
shipping sector caused by inadequate<br />
landside infrastructure. The<br />
report’s projections assume needs<br />
and available funding based on current<br />
trends, and do not adjust for possible<br />
costs associated with climate<br />
change, changes in regulations, or<br />
other factors. Download the report<br />
at http://www.asce.org/Infrastructure/Failure-to-Act/Airports,-Inland-<br />
Waterways,-and-Marine-Ports/.<br />
91<br />
Kelly Barnes<br />
<strong>PIANC</strong> USA<br />
PTGCC<br />
<strong>PIANC</strong>’s<br />
Permanent Taskgroup<br />
on Climate Change<br />
Climate change mitigation<br />
options for the inland<br />
navigation sector<br />
The PTG CC intends to develop<br />
technical information and guidance<br />
for mitigation options for the inland<br />
navigation sector (e.g. reduction<br />
in GHG emissions, alternative fuel<br />
concepts) and the trade-offs and<br />
implications associated with these<br />
options. Recommendations will<br />
be made where a particular topic<br />
needs to be explored in more detail.<br />
This intention coicindes with an almost<br />
identical activitiy of the Central<br />
Commission for the Navigation of the<br />
Rhine (CCNR). At its 2009 Autumn<br />
Meeting, the CCNR, in its role as<br />
the responsible body for sustainable<br />
navigation on the Rhine and inland<br />
navigation elsewhere, set for itself<br />
the target of cutting greenhouse gas<br />
emissions generated by navigation of<br />
the Rhine in line with the emission reduction<br />
targets of its member states.<br />
This objective was made against the<br />
background that the international<br />
community of states is determined<br />
to take measures to prevent and<br />
reduce greenhouse gas emissions<br />
(mitigation), combined with the finding<br />
that inland navigation is a mode<br />
of transport that causes low greenhouse<br />
gas emissions and, therefore,<br />
can contribute to an overall reduction<br />
of greenhouse gas emissions<br />
from transport as a whole. To reach<br />
this goal, the CCNR has asked its<br />
Inspection Regulations Committee<br />
to write a report based on relevant<br />
studies and on contributions made<br />
by its member and observer states<br />
and the international organisations<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
NEWS FROM THE NAVIGATION COMMUNITY<br />
and trade associations that co-operate<br />
with it. This report should contain<br />
proposed measures and ways of reducing<br />
greenhouse gas emissions<br />
from inland navigation, assess the<br />
options and present a proposal for<br />
how these options can be made accessible<br />
to inland navigation operators<br />
as well as other potential users<br />
in an appropriate manner.<br />
Benefits from the above-mentioned<br />
report extend beyond the CCNR.<br />
Due to the compilation of the measures<br />
and options for reducing<br />
greenhouse gas emissions from inland<br />
navigation, the report also offers<br />
a collection of data that can be<br />
used for future studies in the preparation<br />
of political decisions (e.g.<br />
emission reduction potential of inland<br />
navigation). The report and any<br />
additional work may also contribute<br />
towards reliable and more accurate<br />
greenhouse gas balances for inland<br />
navigation, such as those, for<br />
instance, that are necessary for reporting<br />
purposes in connection with<br />
the Kyoto protocol. The CCNR has<br />
decided to co-operate closely with<br />
<strong>PIANC</strong> on this work as <strong>PIANC</strong> has a<br />
global reach with regards to climate<br />
change and navigation.<br />
The report examines the following<br />
issues:<br />
• The context of greenhouse gas<br />
emissions from inland navigation<br />
• Objectives of the international<br />
community and the member states<br />
of the CCNR as well as the inland<br />
navigation industry with regard to<br />
the reduction of greenhouse gas<br />
emissions from the transport sector<br />
and inland navigation<br />
• Carbon footprint and specific CO 2 -<br />
emissions (CO 2 -intensity) from<br />
inland navigation and other landbased<br />
modes of transport<br />
• Fundamental strategies for reducing<br />
greenhouse gas emissions<br />
from transport<br />
• Operating conditions with regard<br />
to methods of reducing fuel con-<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
sumption and CO 2 -emissions<br />
from inland shipping<br />
• Technical measures for the reduction<br />
of fuel consumption and CO 2 -<br />
emissions involving the vessels<br />
themselves<br />
• Operational measures for the reduction<br />
of fuel consumption and<br />
CO 2 -emissions<br />
• Use of alternative energy sources<br />
(fuels) to reduce CO 2 -emissions<br />
• Potential for the reduction of fuel<br />
consumption and CO 2 -emissions<br />
from inland navigation<br />
• Supporting measures for reducing<br />
fuel consumption and greenhouse<br />
gas emissions<br />
• Additional benefits of a reduction<br />
in greenhouse gas emissions<br />
• Scenarios for the development of<br />
greenhouse gas emissions from<br />
inland navigation<br />
• Costs and barriers to reducing fuel<br />
consumption and greenhouse gas<br />
emissions<br />
Finally, the report contains proposals<br />
for further work.<br />
The draft report is now complete.<br />
Within the framework of <strong>PIANC</strong>,<br />
valuable feedback and advice were<br />
given on the initial draft by the CCNR<br />
Secretariat. Additional input was<br />
provided in March 2012 during a<br />
hearing with the European trade federations<br />
for inland navigation, ship<br />
building and equipment, as well as<br />
the petrolium products industry. This<br />
draft will be presented for adoption to<br />
the CCNR in autumn of this year and<br />
will form the basis for the CCNR’s future<br />
strategy on the reduction of fuel<br />
consumption and greenhouse gases<br />
from inland navigation. At the same<br />
time, the report will be discussed by<br />
the PTG CC, which will decide how<br />
to proceed within <strong>PIANC</strong> based on<br />
the findings and recommendations<br />
of this report.<br />
Gernot Pauli<br />
PTG CC<br />
Chief Engineer CCNR<br />
92<br />
IADC<br />
Peter de Ridder appointed<br />
New President<br />
of IADC<br />
The International Association of<br />
Dredging Companies (IADC) is<br />
pleased to announce the appointment<br />
of Mr Peter de Ridder as the<br />
new President of the Board.<br />
The IADC is the global umbrella organisation<br />
for contractors in the private<br />
dredging industry, dedicated to<br />
promoting the skills, integrity and reliability<br />
of its members, as well as the<br />
economic, social and environmental<br />
influence of the dredging industry<br />
in general. The IADC has over one<br />
hundred main and associated members.<br />
Mr De Ridder has been employed<br />
at Van Oord nv, an IADC member<br />
company, for almost 40 years. He<br />
started his career with Van Oord in<br />
1973 at one of the premier maritime<br />
infrastructure projects of its day, the<br />
Eastern Scheldt barrier, working first<br />
as a surveyor and later on as project<br />
manager. In 1981 he became<br />
project manager at Van Oord’s first<br />
major overseas offshore project in<br />
Australia. From 1983 to 1991 he was<br />
operation manager for Van Oord Offshore<br />
and from 1991 to 1994 manager<br />
of Van Oord’s Engineering and<br />
Estimating department.<br />
As of 1994 Mr De Ridder joined the<br />
Board of Van Oord ACZ and, after<br />
the merger with Ballast Ham Dredging<br />
in 2003, was appointed Chief
NEWS FROM THE NAVIGATION COMMUNITY<br />
Operating Officer of the Board of<br />
Van Oord nv, a position he continues<br />
to hold. During his years at Van Oord<br />
he has been responsible for several<br />
internationally acclaimed projects including<br />
Singapore’s Changi Airport<br />
reclamation, Hong Kong’s Chek Lap<br />
Kok Airport reclamation, the Palm Islands<br />
and The World in Dubai, Princes<br />
Amalia and Belwind Offshore<br />
Wind Projects in the North Sea and<br />
many other worldwide infrastructurerelated<br />
projects.<br />
The IADC and its member companies<br />
look forward to his leadership<br />
as President with his years of expertise<br />
and experience. Mr De Ridder<br />
accepted his appointment and<br />
thanked retiring President Mr Jac.<br />
G. van Oord, who held this position<br />
for 5 years since September 2007,<br />
for his many contributions to the successful<br />
endeavours of the IADC.<br />
Jurgen Dhollander<br />
PR & Project Manager IADC<br />
ON THE CALENDAR<br />
IAPH 28 th World Ports<br />
Conference 2013<br />
The 28 th World Ports Conference of<br />
the International Association of Ports<br />
and Harbors (IAPH) will take place<br />
in Los Angeles, USA on May 6-10,<br />
2013 at the JW Marriott at LA LIVE.<br />
Registration for the IAPH 28th World<br />
Ports Conference is now open at<br />
www.iaph2013.org. On this website<br />
you can find out everything there is<br />
to know about this exciting and informative<br />
Conference.<br />
TransNav 2013<br />
The 10 th Jubilee International Conference<br />
on ‘Marine Navigation and<br />
Safety of Sea Transportation’ –<br />
TransNav 2013 – will be organised<br />
jointly by the Faculty of Navigation,<br />
Gdynia Maritime University and The<br />
Nautical Institute on June 19-21,<br />
2013 in Gdynia, Poland.<br />
On the conference website (http://<br />
transnav2013.am.gdynia.pl) you can<br />
find the First Announcement. For further<br />
questions, you can send an email<br />
to transnav@am.gdynia.pl.<br />
Prof. Adam Weintrit<br />
Chairman of the TransNav<br />
Conference<br />
Tomasz Neumann,<br />
Secretary of the Organising<br />
Committee<br />
Safety and Energy<br />
Efficiency in River<br />
Transportation for a<br />
Sustainable Development<br />
of the Peruvian Amazon<br />
Region<br />
The International Conference ‘Safety<br />
and energy efficiency in river transportation<br />
for a sustainable development<br />
of the Peruvian Amazon Region’<br />
will take place in Iquitos, Peru<br />
on July 17-19, 2013.<br />
The aim of this Conference is to<br />
contribute to the sustainable development<br />
of the emerging areas of the<br />
Peruvian Amazon. The Conference<br />
focus is on all the crucial aspects of<br />
river transportation of people, goods<br />
and services, taking into account<br />
the fundamental role played by river<br />
transportation in the economic and<br />
93<br />
social development of the Amazon<br />
region and considering the peculiarities<br />
of this sector.<br />
The event is held within the IDS<br />
(Ingenieria por un Desarollo Sostenible)<br />
concept, and aims to create<br />
a framework where technicians and<br />
researchers may participate to promote<br />
an environmentally sustainable<br />
improvement for the life of people<br />
in the Andean Region. The Conference<br />
is an opportunity for designers,<br />
research organisations, academic<br />
institutions, shipbuilders, owners,<br />
classification societies, etc. to actively<br />
contribute to the improvement<br />
of river transportation and exploitation<br />
systems, with the final goal of<br />
making river transportation a safe efficient,<br />
environmentally friendly and<br />
profitable sector for local people.<br />
For more information, please visit<br />
http://www.ids2013.pe.<br />
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012
<strong>PIANC</strong> E-<strong>Magazine</strong> n° 146, December/décembre 2012<br />
<strong>PIANC</strong> General Secretariat<br />
Boulevard du Roi Albert II 20, B 3<br />
B-1000 Bruxelles<br />
Belgique<br />
http://www.pianc.org<br />
VAT BE 408-287-945