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Optimization/Simulation Model for Determining Real-Time Optimal Operation of River-Reservoirs Systems during Flooding Conditions

Abstract A model is presented for real-time, river-reservoir operation systems. It epitomizes forward-thinking and efficient approaches to reservoir operations during flooding events. The optimization/simulation includes five major components. The components are a mix of hydrologic and hydraulic modeling, short-term rainfall forecasting, and optimization and reservoir operation models. The optimization/simulation model is designed for ultimate accessibility and efficiency. The optimization model uses the meta-heuristic approach, which has the capability to simultaneously search for multiple optimal solutions. The dynamics of the river are simulated by applying an unsteady flow-routing method. The rainfall-runoff simulation uses the National ... (more)
Created Date 2015
Contributor Che, Daniel (Author) / Mays, Larry W (Advisor) / Fox, Peter (Committee member) / Wang, Zhihua (Committee member) / Lansey, Kevin (Committee member) / Wahlin, Brian (Committee member) / Arizona State University (Publisher)
Subject Civil engineering / Cumberland River system / Flood Control Operation / Flood Forecasting / Genetic Algorithm / Optimization / Real-Time Operation
Type Doctoral Dissertation
Extent 358 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Civil Engineering 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis