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Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

  • Book
  • © 1993

Overview

Editors:
  1. J. B. Marco

    1. Universidad Politécnica de Valencia, Valencia, Spain

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  2. R. Harboe

    1. Asian Institute of Technology, Bangkok, Thailand

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    You can also search for this editor in PubMed   Google Scholar

  3. J. D. Salas

    1. Colorado State University, Fort Collins, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: NATO Science Series E: (NSSE, volume 237)

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Table of contents (30 chapters)

  1. Front Matter

    Pages i-viii
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  2. Invited Papers on Stochastic Hydrology

    1. Front Matter

      Pages 1-1
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    2. General Introduction to Application of Stochastic Hydrology in Water Resources

      • Vujica Yevjevich
      Pages 3-23

    3. Philosophy of Model Building

      • K. W. Hipel
      Pages 25-45

    4. Models for Data Generation in Hydrology: Univariate Techniques

      • Jose D. Salas, Bonifacio Fernandez
      Pages 47-73

    5. Models for Data Generation in Hydrology: Multivariate Techniques

      • Jose D. Salas
      Pages 75-95

    6. Aggregation and Disaggregation Modelling

      • William L. Lane
      Pages 97-116

    7. Armax and Transfer Function Modelling in Hydrology

      • J. B. Marco
      Pages 117-135

    8. Stochastic Models of Temporal Rainfall: Reproducibility, Estimation and Prediction of Extreme Events

      • P. Burlando, R. Rosso
      Pages 137-173

    9. Practical Results in Simulation and Forecasting

      • K. W. Hipel
      Pages 175-188

    10. Use and Misuse of Stochastic Hydrology in Water Resources

      • Vujica Yevjevich
      Pages 189-208

    11. Some Thoughts About the State-of-the-Art in Stochastic Hydrology and Streamflow Forecasting

      • D. P. Lettenmaier
      Pages 209-215

    12. Issues in the Modelling of Precipitation

      • J. B. Valdes
      Pages 217-220

  3. Contributed Papers on Stochastic Hydrology

    1. Front Matter

      Pages 221-221
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    2. Some Applications of Time Series Models to Climate Study (Southern Oscillation): Modelling, Forecasting and Predictability

      • Pao-Shin Chu
      Pages 223-227

    3. Conceptual Basis of Stochastic Models of Monthly Streamflows

      • P. Claps
      Pages 229-235

    4. A Nonlinear, Nonstationary Stochastic Model for the Prediction of Storage in the Edwards Aquifer, Texas

      • Fidel A. Saenz De Ormijana
      Pages 237-246

    5. Appropriate Time Resolution for Stochastic Drought Analysis

      • R. Rodrigues, M. A. Santos, F. N. Correia
      Pages 247-265

    6. Parameter Estimation in Real-Time Flood Forecasting Via Conceptual Models

      • Armando Brath, Renzo Rosso
      Pages 267-281

    7. Linear Stochastic Non-Stationary Rainfall-Runoff Modelling and Forecasting

      • P. A. Troch, F. P. De Troch, J. Van Hyfte
      Pages 283-292
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Keywords

About this book

Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. These results have to be incorporated in a decision-making process regarding the planning and management of water systems. It is through this application that stochastic hydrology finds its true meaning, otherwise it becomes merely an academic exercise.
A set of well known specialists from both stochastic hydrology and water resources systems present a synthesis of the actual knowledge currently used in real-world planning and management.
The book is intended for both practitioners and researchers who are willing to apply advanced approaches for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems.


(abstract)
Stochastic hydrology is a basic tool for water resources systems analysis, due to inherent randomness of the hydrologic cycle. This book contains actual techniques in use for water resources planning and management, incorporating randomness into the decision making process. Optimization and simulation, the classical systems-analysis technologies, are revisited under up-to-date statistical hydrology findings backed by real world applications.

Reviews

`This new book is interesting and well worth reading. It gives a good overview and should be of great interest to anyone active in the field of stochastic hydrology. It should also serve as an introduction to the application of time-series techniques to hydrological modelling for the hydrological community in general.'
World Meteorological Organization Bulletin, 43:4

Editors and Affiliations

  • Universidad Politécnica de Valencia, Valencia, Spain

    J. B. Marco

  • Asian Institute of Technology, Bangkok, Thailand

    R. Harboe

  • Colorado State University, Fort Collins, USA

    J. D. Salas

Bibliographic Information

  • Book Title: Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization

  • Editors: J. B. Marco, R. Harboe, J. D. Salas

  • Series Title: NATO Science Series E:

  • DOI: https://doi.org/10.1007/978-94-011-1697-8

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1993

  • Hardcover ISBN: 978-0-7923-2288-7Published: 31 May 1993

  • Softcover ISBN: 978-94-010-4743-2Published: 09 November 2012

  • eBook ISBN: 978-94-011-1697-8Published: 06 December 2012

  • Series ISSN: 0168-132X

  • Edition Number: 1

  • Number of Pages: VIII, 483

  • Topics: Hydrogeology, Probability Theory and Stochastic Processes, Optimization

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