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Operation Policy Analysis: Sam Rayburn Reservoir
A combined optimization-simulation procedure was developed and applied to identify the optimal conservation pool storage allocation problem is formulated and solved as a constrained nonlinear programming (NLP) problem with multiple objectives. The Box-Complex algorithm is coupled with an existing generalized reservoir simulation model to seek a solution to the NLP problem. The solutions are refined by an iterative simulation process that allows input from planners and engineers who are involved in management of this system.
Operation Policy Analysis: Sam Rayburn Reservoir
A combined optimization-simulation procedure was developed and applied to identify the optimal conservation pool storage allocation problem is formulated and solved as a constrained nonlinear programming (NLP) problem with multiple objectives. The Box-Complex algorithm is coupled with an existing generalized reservoir simulation model to seek a solution to the NLP problem. The solutions are refined by an iterative simulation process that allows input from planners and engineers who are involved in management of this system.
Operation Policy Analysis: Sam Rayburn Reservoir
Ford, David T. (author) / Sullivan, Charles (author) / Garland, Ralph (author)
Journal of the Water Resources Planning and Management Division ; 107 ; 339-350
2021-01-01
121981-01-01 pages
Article (Journal)
Electronic Resource
Unknown
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