Proceedings of the 6th Internation

HYDROINFOR

Singapore 21-24 June 2004

edited by Shie-Yui LiongKok-Kwang PhoonNational University of Singapore, Singapore

Vladan BabovicTetrasysAG, Switzerland

TECHNISCHEINFORMATIONSBIBLIOTHEK

UNIVERSITATSBIBLIOTHEKHANNOVER

World ScientificNEW JERSEY • LONDON • SINGAPORE • BEIJING • SHANGHAI • HONGKONG • TAIPEI • CHENNAI

Contents

VOLUME TWO

Preface xiAcknowledgments xiii

Decision Support and Management Systems 985

Approximate Reasoning to Support Composite Model Constructionand Interpretation 987

J. Hall, H. Harvey and J. Evans

Locating Leaks in Water Networks - What, Where and When 995D. Rogers

A System Dynamic Based Decision Support System for SustainableManagement of River Aquatic Environment 1003

Y. C. Chang and M. T. Lee

Using Multi-Objective Genetic Algorithm to Achieve DesignFlexibility for Water Distribution Systems 1011

5. T. Khu and E. Keedwell

Integrated Hydrological Watershed Modeling includingSpatiotemporal Parameterizations 1019

N. Amin and T. Kojiri

A Participatory DSS Concept for Water Resources Management 1027H. Sewilam and H. Nacken

A Decision-Support Framework for Stormwater Control in Taipei 1035S. C. Lin, M. H. Wang and Y F. Tsai

Hydroinformatics Tools to Aid Decision Making for NutrientRemediation at Source 1043

C. J. M. Hewett and P. E Quinn

An Interactive Spatial Decision Support System for Integrated RiverBasin Management 1051

J. Dietrich and A. H. Schumann

XV

XVI

Complex Water Resources System Optimization Tool Aided byGraphical Interface 1059

A. Manca, G. M. Sechi, A. Sulis and P. Zuddas

Decision Support System for Calibration of 1-D River Models 1067J. P. Vidal, J. B. Faure, D. Dartus and S. Moisan

A Decision Support System for Multireservoir System Operation ofUpper Yellow River 1075

Y.B. Chen and J. Q.Hu

The Relative Merits of Different Multi Criteria Decision SystemsUsed in the Context of a Sanitary Waste Case Study 1083

C. Oltean-Dumbrava, R. Ashley, S. Alker, H. Smithand D. Gilmour

Decision Support System for Paddy Water Management in Indonesia 1091M. N. Abdullah and A. Munir

A Software for Real-Time Modeling and Monitoring of CoastalEnvironment 1099

T. S. Jung and S. G. Kim

Optimizing the Areal Water Budget in Water Supply Areas byGroundwater Resources Management 1107

A. Kopp, U. Lang and J. Sanzenbacher

Development of a Decision Support System for Integrated WaterResources Management in Intensively Used Small Watersheds 1115

K. Schroeter

A Real-Time Reservoir Decision Support System 1123T. Ewing, J. R. Romero, J. Imberger, J. Antenucci and A. Deen

Defining Models using the Resource Description Framework 1131H. Harvey, J. Hall and J. Evans

Development of an Integrated Catchment Planning System forUrban Environments 1139

D. Fortune, A. Tagg and A. Nex

New Directions in a Water Resources Management - DecisionSuppport Systems on the Web 1147

K. A. Salewicz and M. Nakayama

Integrated Environment for Analysis of Transients in WaterDistribution Systems 1155

/. Far, M. Stanic and M. V. Ivetic

XVII

RAP: The Methodology 1163J. D. Van Der WerffTen Bosch and P. Kouwenhoven

Fuzzy Decision Support System for Multicriterion Analysis 1171K. S. Raju and D. N. Kumar

RAP: A Case Study 1179P. Kouwenhoven andJ. D. Van Der WerffTen Bosch

Forecasting and Data Assimilation 1187

Improving Streamflow Simulations and Hood Forecasts withMultimodel Ensembles 1189

M. B. Butts, J. T. Payne and J. Overgaard

Operational Data Assimilation in Marine Modeling: Water LevelForecasting with Regularisation Techniques 1197

J. T. S0rensen and H. Madsen

Delft-Fews: An Open Shell Flood Forecasting System 1205M. Werner, M. V. Dijk and J. Schellekens

Predictions To Be Tested: How the Three Gorges Reservoir WouldChange the Downstream Fluvial Processes 1213

X. J. Shao and H. Wang

Seasonal Precipitation Forecasting using Large Scale ClimateSignals: Application to the Karoon River Basin in Iran 1221

B. Zahraie, M. Karamouz and S. Eghdami

Medium Term Prediction of the Snow Cover Extent over theMountain Basin 1229

F. Pertziger and A. Yakovlev

A Hybrid Filtering and Error Forecast Procedure for DataAssimilation in Real-Time Forecasting 1237

H. Madsen, J. T. S0rensen and C. Skotner

Data Reconstruction and Forecasting by Evolutionary PolynomialRegression 1245

O. Giustolisi, D. SavicandA. Doglioni

Derivative-Free Kalman Filter with State-Space Neural Network forPrediction in Water Resources 1253

C. D. Doan and S. Y. Liong

Predictability of Streamflow Processes of the Yellow River 1261W. Wang, P. H. A. J. M. Van Gelder, J. K. Vrijling and J. Ma

XVIII

Assessment of Water Resources Carrying Capacity of Northwest China 1269K Z Zhu, J. Xia and G. S. Wang

Application of Artificial Neural Networks and Fuzzy InferenceSystem in Long-Lead Streamflow Forecasting 1277

M. Karamouz and S. Araghinejad

Modelling of Monsoon Driven Flows in South-East Asian Watersusing Satellite Remote Sensing Techniques 1285

H. Gerritsen, R. E. Uittenbogaard and E. J. Schrama

Extending the Danube Flood Forecasting System with the Use ofMeteorological Ensembles 1295

L. Szldvik, G. Bdlint and J. Bonta

Neural Networks and Model Trees in Spatio-Temporal Modelling ofGroundwater Head 1303

P. Bhattacharya, F. Van Geer, P. Van Der Veer and J. Cser

From Precipitation Data to Flood Forecasting 1311A. H. Lobbrecht and S. Loos

Genetic Algorithms in Quantifying Water Management andAgricultural Practices at the Sub-Pixel Level 1319

K. Honda and A. V. M. Ines

Data Assimilation Scheme for A Wave Forecast Model usingEnsemble Error Covariances 1326

S. A. Sannasiraj, V. Babovic and E. S. Chan

Periodic Autoregressive Model Applied to Daily Streamflow 1334W. Wang, P. H. A. J. M. Van GelderandJ. K. Vrijling

Artificial Neural Networks 1343

An Approach on Evaluating the Pre-Processing of Rainfall and RunoffData in an Artificial Neural Network Model for Real-Time Forecasting 1345

G. Cerda-Villafana, I. D. Cluckie andD. Han

NNRRTT: A Software for Artificial Neural Networks Modelling ofRainfall-Runoff Process 1353

G. M. SechiandA. Triverio

Software Sensor using PNN Model and Knowledge - Base forSequencing Batch Reactor 1361

K J. Kim, J. H. Ko, K. M. Boo, H. J. Woo, C. W. Kim, H. BaeandS. S.Kim

XIX

Predicting Planform Changes Using Neural Networks 1369H. R. A. Jagers

A Multi-Level and Multivariate Data Recovery System ofHydroinformatics in an Estuarine Environment using ANNs 1377

B. B. Hsieh, A. Mislan, D. Elmore, L. Hatten and Q. D. Ho

Application of Data-Driven Approaches for Modelling Runoff froma Steep-Sloped Catchment in Hong Kong 1385

A. W. Jayawardena and N. Muttil

Artificial Neural Networks for Wave Tranquility Studies 1393M. C. Deo and S. N. Londhe

Spatiotemporal Rainfall Forecasting via ANNs Coupled with GA 1401M. J. Abedini and M. Nasseri

Forecasting Surge Prediction Accuracy on the Dutch Coast usingNeural Networks 1409

A. J. Abebe and R. K. Price

Assessing the Impact of Meteorological Predictions on StreamflowForecasting using ANN 1417

P. Coulibaly andN. D. Evora

Combining the Radial Basis Function Network with the Self-Organizing Map for Time Series Forecasting 1425

G. F.Lin and L.H. Chen

Artificial Neural Network Modeling of Infiltration from Plot-ScaleRainfall Simulator Data 1433

N. L. Sy

Downscaling Global Climate Model Outputs to Study theHydrologic Impact of Climate Change 1441Part I: Calibration and Validation of Downscaling Models

Y. B. Dibike and P. Coulibaly

Downscaling Global Climate Model Outputs to Study theHydrologic Impact of Climate Change 1449Part II: Scenario Simulation and Hydrologic Modeling

P. Coulibaly and Y. B. Dibike

Watershed Similarity Analysis using Integration of GIS andUnsupervised-Supervised Artificial Neural Networks 1457

B. B. Hsieh, M. T. Fong, J. D. Jorgeson and B. E. Skahill

XX

Real Time Prediction of Coastal Algal Blooms using ArtificialNeural Networks 1465

J. H. W. Lee, T. M. K. G. Fernando and K. T. M. Wong

A Water Demand Model by Means of the Artificial NeuralNetworks Method 1473

G. Freni, G. La Loggia, D. Termini and P. Vitellaro

The Interval Estimation of Parameters for Neural Network onFlood Forecasting 1481

C. C. Yang, C. S. Chen and L. C. Chang

Combined Hydrodynamic - Neural Network Model for FloodFlow Simulation 1489

R. R. Shrestha, S. Theobald and F. Nestmann

Performance Evaluation of Artificial Neural Networks Softwares inPrediction of Hydraulic Data 1497

A. A. M. Negm, M. A. Shouman and A. F. Abdel-Gawad

Fuzzy Logic 1505

Uncertainty in Fuzzy Membership Functions for A River WaterQuality Management Problem 1507

S. Karmakar and P. P. Mujumdar

Fuzzy-Based Ecohydrological Modeling for Implementing theEUWFD 1515

H. Nacken and H. Sewilam

Fuzzy Constraint Levels for Probabilistic Performance Measures 1522K. S. Tickle

Intelligent River Temperature Warning System for a Power Stationusing a Dynamic Neuro-Fuzzy System 1531

Y. S. Hong and Q. Song

Application of Neuro - Fuzzy Technique in Flood Forecasting 1539T. Tingsanchali and X. Q. C. Nguyen

Multi Prediction Modeling with Loading Rate Estimation Basedupon Fuzzy Logic and Neural Networks 1547

H. Bae, S. S. Kim and Y. J. Kim

Soil Erosion Susceptibility by using GIS Grass and a Fuzzy ExpertSystem 1555

N. Obregon, G. Martinez, J. E. Jaramillo and E. A. Amado

Imitating an Expert by Fuzzy Logic in Real-Time ReservoirOperation 1563

T. Dubrovin and V. Keskisarja

Chaos Theory and Support Vector Machines 1571

Comparing Artificial Neural Networks and Support Vector Machinesfor Modelling Rainfall-Runoff 1573

B. Cannas, A. Montisci, A. Fanni, L. See and G. M. Sechi

Forecasting of Chaotic Hydrological Time Series with Ridge LinearRegression in Feature Space 1581

X. Y. Yu and S. Y. Liong

Contaminant Transport Modelling with Support Vector MachineModel - An Alternative to Classical Advection-Dispersion Equation 1589

Z. Vojinovic and V. Kecman

Support Vector Machines Identification for Runoff Modelling 1597D. Han and I. D. Cluckie

A New Method to Train Multi-Layer Perceptrons As SupportVector Machines 1605

O. Giustolisi and D. Laucelli

A Simple Clustering Technique to Extract Most Representative Datafrom Noisy Chaotic Time Series 1613

D. S. K. Karunasingha and S. Y. Liong

Identifying Optimal Training Data Set - A New Approach 1621C. Sivapragasam and S. Y. Liong

Data Mining and Knowledge Discovery 1629

Generation of Settling Velocity Equations for Sand Grains usingGenetic Programming 1631

V. Babovic, J. R. Harrington and M. Keijzer

Innovative Approaches to Flood Forecasting using Data Driven andHybrid Modelling 1639

D. P. Solomatine and R. K. Price

Knowledge Discovery by Evolutionary Polynomial Regression 1647O. Giustolisi, D. Savic, A. Doglioni and D. Laucelli

XXII

Physically Interpretable Rainfall-Runoff Models using GeneticProgramming 1655

N. Muttil and S. Y. Liong

A Data Mining Approach to Modelling Sediment Transport 1663B. Bhattacharya, R. K. Price and D. P. Solomatine

Characterization of Water Temperature Variations in Shinano River 1671G. W. Huang

Ten Years of Hydroinformatics Conferences: A Partial Assessment,Part 1 1679

M. B. Abbott

Ten Years of Hydroinformatics Conferences: A Partial Assessment,Part 2 1688

M. B. Abbott

Recreational Water Management using Genetic Programming 1695E. Harris and R. Falconer

Data Mining Technologies in the Sea Temperature Prediction 1703V. Babovic and H. Zhang

Using KDD Techniques to Examine Areas with SignificantVegetation Variability and Their Link to Topography and Climate 1711

A. White and P. Kumar

Flexible and Optimal M5 Model Trees with Applications to FlowPredictions 1719

D. P. Solomatine and M. B. L. A. Siek

Probabilistic Apriori and Episode Mining Technique for IntelligentManagement of Water Supply Networks 1727

A. Ferro, R. Giugno, A. Pulvirenti, R. Gueli, M. Mongiovi, A. Eliaand D. Paparone

Uncertainty and Risk Analysis 1735

Uncertainty Analysis in Up-Scaling the SHETRAN ModelParameters 1737

E. E. De Figueiredo and J. C. Bathurst

Value of Data in Reducing Uncertainties in Inundation Modelling 1745M. Werner, S. Blazkova and J. Petr

Assessment of Uncertainty in Flood Forecasting using Probabilisticand Fuzzy Approaches

5. Maskey and R. K. Price

Bayesian Inference using Monte Carlo Markov Chains forOptimization and Parameter Uncertainty Assessment in Soil WaterAssessment Tool Model

R. Koh, W. Ferguson and A. Kadourri

Climate Change Impacts and Flood Risk Analysis in MackenzieRiver Basin: A Modeling based Comparative Study Consideringand Not Considering Trends in Hydrologic Variable

O. I. A. Aziz

Analysis of Spatial Uncertainty and Sensitivity in GIS-BasedHydrologic Modeling

H. Manson, J. Li and D. Banting

Uncertainty in Simulated Runoffs using the Distributed ModelNAVMO

E. E. De Figueiredo, P. L. Lopes and A. C. F. M. Braga

Modeling of Water and Sediment Dynamics in the Basin Scale andIts Application to An Actual Basin

G. Mouri, M. Shiiba, T. Hori and Y. Ichikawa

Extreme Floods in Bagmati River BasinD. K. Gautam and A. P. Pokhrel

Integration of Technologies and Systems

Update on the Harmonit Project - The OpenMI Standard forModel Linking

R. Moore, I. Tindall and D. Fortune

The OpenMI Architecture - DetailsP. J. A. Gijsbers

OpenMI - New Opportunities for Model DevelopersS. Westen, D. Fortune and J. Gregersen

Catchment Decision Support Systems Using OpenMID. Fortune

Integrated Surface/Subsurface River Basin ModellingB. N. Bockelmann, L. Taber, T. Sparks, M. Naminand R. A. Falconer

xxiv

The Wajianzhai Yellow River Control and Forecasting System - AReal Time Operational and Forecasting Application 1851

R. S. Carr, L. Yde, N. E. Jensen, F. Thomsen and M. K. Breiner

The Implementation of Technology for Integrated Water ResourcesManagement in Republic of Korea 1859

5. Kim, K. C. Shim, H. T. Kim, H. S. Kim and S. H. Lee

Sobek One Dimensional - Two Dimensional Integrated HydraulicModel for Flood Simulation - Its Capabilities and Features Explained 1867

J. F. Dhondia and G. S. Stelling

Simulation of Control Strategies in Water Distribution Systems, usingSCADA in Conjunction with Calibrated Models obtained from GIS 1875

J. M. Alonso, F. Alvarruiz, D. Guerrero, V. Hernandez,J. D. Llopis, E. Ramos, F. Martinez, V. Bou and H. Bartolin

How to Present Flood Risk: A Case Study for the Elbe 1883Y. Huang and J. L. De Kok

The Implementation of Decision Support System for IntegratedRiver Basin Water Management in Korea 1891

S. B. Shim, 1. H. Ko and K. C. Shim

Integrating SWMM with Optimization Module for Feasibility ofReal Time Control in Urban Drainage Systems 1899

S. S. Lin, S. H Hsieh, J. T. Kuo, Y. C. ChenandY.P. Liao

Real Time Urban Flood Modeling for Bangkok MetropolitanAdministration, Case Study: Sukumvit Area 1907

5. Weesakul, O. Mark, W. Naksua and S. Chingnawan

Control and Management of Yellow River Diversion ProjectConveyance Line 1915

A. Drabarek

Internet-Based Technologies and Applications 1923

Virtual Hydroinformatics Laboratories: Providing andInterconnecting Resources and Tools with Web Services 1925

B. M. Briiggemann and S. J. Liang

Web-based Visualization of Three-Dimensional Free Surface Flowusing Java3D 1933

H. C. Lien, L. C. Lee, Y. H. Shiau, J. H. Wu, W. Y. Chang,C. Y. Shen, R. J. Shih andW.F. Tsai

Development of Tidal Current Forecasting System on Internet 1941W. Nishida, M. Noguchi and H. Nagata

Information Infrastructure for ICZM Tasks 1947C. Heidmann and R. Lehfeldt

A Service Oriented Architecture for Web-Based Collaboration inHydro-Engineering Proj ects 1955

G. Hildebrandt and P. Holz

Collaborative Engineering: A Natural Concept for Hydroinformatics 1963P. Gourbesville

The WebGIS-Based Hydrological Information Service System andSecondary Development 1971

C. S. Zhan, J. Xia and B. L. Liu

Introducing IGRAC: The International Groundwater ResourcesAssessment Centre 1979

N. Kukuric and J. Van Der Gun

The Web-Based Modeling System for the 2DSOIL Model 1987C. C. Kuo, C. P. Huang, Y. H. Shiau, C. Y. Shen and W. F. Tsai

Optimal Reservoir Operation Considering the Water Quality: A ConflictResolution Approach 1994

M. Karamouz and R. Kerachian

Author Index