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Stochastic Hydrology and Its Use in Water Resources Systems Simulation and Optimization: NATO Science Series E:

Autor J B Marco Editat de R. Harboe, J D Salas
en Limba Engleză Hardback – 31 mai 1993
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.
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Specificații

ISBN-13: 9780792322887
ISBN-10: 0792322886
Pagini: 496
Dimensiuni: 160 x 241 x 33 mm
Greutate: 0.9 kg
Editura: Springer
Seria NATO Science Series E:

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

Preface. Part I: Invited Papers on Stochastic Hydrology. Part II: Contributed Papers on Stochastic Hydrology. Part III: Invited Papers on Water Resources Systems Optimization and Simulation. Part IV: Contributed Papers on Water Resources Systems Optimization and Simulation. Index.

Recenzii

`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