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.
Dynamic programming techniques in reservoir management for researchers and professionals in hydrology and water resources.
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This book covers dynamic programming techniques in reservoir management for researchers and professionals in hydrology and water resources.
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vi | |
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viii | |
| Preface |
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xi | |
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Water resources management |
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1 | (15) |
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1 | (1) |
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2 | (1) |
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Optimal reservoir operation |
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3 | (1) |
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Conventional dynamic programming |
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4 | (1) |
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Incremental dynamic programming |
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4 | (2) |
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Stochastic dynamic programming |
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6 | (3) |
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Dynamic programming in reservoir operations |
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9 | (4) |
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Developments in dynamic programming |
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13 | (3) |
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Incremental dynamic programming in optimal reservoir operation |
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16 | (15) |
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IDP in optimal reservoir operation: single reservoir |
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16 | (7) |
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IDP in optimal reservoir operation: multiple-reservoir system |
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23 | (8) |
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Stochastic dynamic programming in optimal reservoir operation |
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31 | (28) |
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SDP in optimal reservoir operation: single reservoir |
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31 | (1) |
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SDP in optimal reservoir operation multiple-reservoir system |
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32 | (6) |
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Some algorithmic aspects of stochastic dynamic programming |
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38 | (21) |
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Optimal reservoir operation for water quality |
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59 | (14) |
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IDP based models in reservoir operation for quality |
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60 | (3) |
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The Jarreh Reservoir in Iran |
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63 | (2) |
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Application of the models to the Jarreh Reservoir |
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65 | (8) |
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Large-scale reservoir system operation |
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73 | (37) |
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Use of dynamic programming in multiple-reservoir operation |
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73 | (5) |
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78 | (16) |
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Composite reservoir model formulation |
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94 | (9) |
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Implicit stochastic dynamic programming analysis |
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103 | (3) |
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Disaggregation/aggregation techniques based on dynamic programming |
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106 | (4) |
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Optimal reservoir operation for flood control |
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110 | (15) |
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Feitsui Reservoir Project in Taiwan |
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110 | (2) |
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Operational mode switch system between long-term and short-term operation |
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112 | (1) |
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Development of SDP model for long-term operation |
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112 | (6) |
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Operational mode switch system |
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118 | (3) |
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Application and sensitivity analysis |
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121 | (2) |
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Some remarks on operational mode switch system |
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123 | (2) |
| References |
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125 | (4) |
| Index |
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129 | |
K. D. W. Nandalal is Senior Lecturer in the Department of Civil Engineering at the University of Peradeniya, Sri Lanka. His research interests include water resources systems analysis and reservoir water quality modelling. Janos J. Bogardi is Director of the United Nations University Institute for Environmental and Human Security. He was co-editor of Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems (Cambridge University Press 2002).
