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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

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