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Dynamic Programming Based Operation of Reservoirs

Dynamic Programming Based Operation of Reservoirs
Applicability and Limits

$196.00 (C)

Part of International Hydrology Series

  • Date Published: May 2007
  • availability: Available
  • format: Hardback
  • isbn: 9780521874083

$ 196.00 (C)
Hardback

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  • Dynamic programming is a method of solving multi-stage problems in which decisions at one stage become the conditions governing the succeeding stages. It can be applied to the management of water reservoirs, allowing them to be operated more efficiently. This is one of the few books dedicated solely to dynamic programming techniques used in reservoir management. It presents the applicability of these techniques and their limits on the operational analysis of reservoir systems. The dynamic programming models presented in this book have been applied to reservoir systems all over the world, helping the reader to appreciate the applicability and limits of these models. The book also includes a model for the operation of a reservoir during an emergency situation. This volume will be a valuable reference to researchers in hydrology, water resources and engineering, as well as professionals in reservoir management.

    • One of only a few books dedicated to dynamic programming techniques in reservoir management
    • A comprehensive account of dynamic programming applicability
    • The models presented have been used in reservoir systems all over the world
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    Product details

    • Date Published: May 2007
    • format: Hardback
    • isbn: 9780521874083
    • length: 146 pages
    • dimensions: 285 x 224 x 14 mm
    • weight: 0.63kg
    • availability: Available
  • Table of Contents

    1. Water resources management
    2. Incremental dynamic programming in optimal reservoir operation
    3. Stochastic dynamic programming in optimal reservoir operation
    4. Optimal reservoir operation for water quality
    5. Large-scale reservoir system operation
    6. Optimal reservoir operation for flood control
    References
    Index.

  • Authors

    K. D. W. Nandalal, University of Peradeniya, Sri Lanka

    Janos J. Bogardi, United Nations University, Bonn, Germany

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