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Practical Hydroinformatics

Computational Intelligence and Technological Developments in Water Applications

  • Book
  • © 2008

Overview

Editors:
  1. Robert J. Abrahart

    1. Dept. Geography, University Nottingham, University Park, United Kingdom NT7 2QW

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  2. Linda M. See

    1. School of Geography Fac. Earth and Environment, University of Leeds, Leeds, United Kingdom LS2 9JT

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  3. Dimitri P. Solomatine

    1. UNESCO - IHE, Institute for Water Education, The Netherlands
      Water Resources Section, Delft University of Technology, The Netherlands

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Part of the book series: Water Science and Technology Library (WSTL, volume 68)

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Table of contents (35 chapters)

  1. Front Matter

    Pages I-XV
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  2. Hydroinformatics: Integrating Data and Models

    1. Front Matter

      Pages 1-1
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    2. Some Future Prospects in Hydroinformatics

      • M.B. Abbott
      Pages 3-16

    3. Data-Driven Modelling: Concepts, Approaches and Experiences

      • D. Solomatine, L.M. See, R.J. Abrahart
      Pages 17-30

  3. Artificial Neural Network Models

    1. Front Matter

      Pages 31-31
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    2. Neural Network Hydroinformatics: Maintaining Scientific Rigour

      • R.J. Abrahart, L.M. See, C.W. Dawson
      Pages 33-47

    3. Neural Network Solutions to Flood Estimation at Ungauged Sites

      • C.W. Dawson
      Pages 49-57

    4. Rainfall-Runoff Modelling: Integrating Available Data and Modern Techniques

      • S. Srinivasulu, A. Jain
      Pages 59-70

    5. Dynamic Neural Networks for Nonstationary Hydrological Time Series Modeling

      • P. Coulibaly, C.K. Baldwin
      Pages 71-85

    6. Visualisation of Hidden Neuron Behaviour in a Neural Network Rainfall-Runoff Model

      • L.M. See, A. Jain, C.W. Dawson, R.J. Abrahart
      Pages 87-99

    7. Correction of Timing Errors of Artificial Neural Network Rainfall-Runoff Models

      • N.J. de Vos, T.H.M. Rientjes
      Pages 101-112

    8. Data-Driven Streamflow Simulation: The Influence of Exogenous Variables and Temporal Resolution

      • E. Toth
      Pages 113-125

    9. Groundwater Table Estimation Using MODFLOW and Artificial Neural Networks

      • K. Mohammadi
      Pages 127-138

    10. Neural Network Estimation of Suspended Sediment: Potential Pitfalls and Future Directions

      • R.J. Abrahart, L.M. See, A.J. Heppenstall, S.M. White
      Pages 139-161

  4. Models Based on Fuzzy Logic

    1. Front Matter

      Pages 163-163
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    2. Fuzzy Logic-Based Approaches in Water Resource System Modelling

      • P.P. Mujumdar, S. Ghosh
      Pages 165-176

    3. Fuzzy Rule-Based Flood Forecasting

      • A. Bardossy
      Pages 177-187

    4. Development of Rainfall–Runoff Models Using Mamdani-Type Fuzzy Inference Systems

      • A.P. Jacquin, A.Y. Shamseldin
      Pages 189-200

    5. Using an Adaptive Neuro-fuzzy Inference System in the Development of a Real-Time Expert System for Flood Forecasting

      • I.D. Cluckie, A. Moghaddamnia, D. Han
      Pages 201-213

    6. Building Decision Support Systems based on Fuzzy Inference

      • C.K. Makropoulos, D. Butler, C. Maksimovic
      Pages 215-228
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Keywords

About this book

Hydroinformatics is an emerging subject that is expected to gather speed, momentum and critical mass throughout the forthcoming decades of the 21st century. This book provides a broad account of numerous advances in that field - a rapidly developing discipline covering the application of information and communication technologies, modelling and computational intelligence in aquatic environments. A systematic survey, classified according to the methods used (neural networks, fuzzy logic and evolutionary optimization, in particular) is offered, together with illustrated practical applications for solving various water-related issues. ...

Editors and Affiliations

  • Dept. Geography, University Nottingham, University Park, United Kingdom NT7 2QW

    Robert J. Abrahart

  • School of Geography Fac. Earth and Environment, University of Leeds, Leeds, United Kingdom LS2 9JT

    Linda M. See

  • UNESCO - IHE, Institute for Water Education, The Netherlands

    Dimitri P. Solomatine

  • Water Resources Section, Delft University of Technology, The Netherlands

    Dimitri P. Solomatine

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