Stochastic Modeling Of Hydrologic Intermittent Daily Processes


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Stochastic Modeling of Hydrologic, Intermittent Daily Processes


Stochastic Modeling of Hydrologic, Intermittent Daily Processes

Author: Jerson Kelman

language: en

Publisher:

Release Date: 1977


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Modeling of Monthly Intermittent Streamflow Processes


Modeling of Monthly Intermittent Streamflow Processes

Author: DIANE Publishing Company

language: en

Publisher: DIANE Publishing

Release Date: 1993-06


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Discusses the analysis of water availability in the form of streamflow, which is extremely important for planning and management of water resources, especially in arid and semiarid areas of the world. Graphs and tables.

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


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

Author: J.B. Marco

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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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.