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Application of Mathematical Optimization Techniques in Reservoir Design and Management Studies

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Title: Application of Mathematical Optimization Techniques in Reservoir Design and Management Studies
Creators: Whitlatch, Elbert E. (Elbert Earl), 1942-; Bhaskar, Nageshwar R.
Contributors: Ohio State University. Water Resources Center; United States. Office of Water Research and Technology
Subjects (LCSH): Reservoirs -- Ohio -- Design
Reservoirs -- Ohio -- Mathematical models
Reservoirs -- Ohio -- Management
Issue Date: 1978-12
Publisher: Ohio State University. Water Resources Center
Series/Report no.: Project completion report (Ohio State University. Water Resources Center) ; no. 525X
Abstract: Optimal monthly release policies are derived for Hoover Reservoir, Columbus, Ohio, using chance-constrained linear programming and dynamic programming-regression methodologies. Simulation procedures are used to examine and compare the overall performance of the optimal policies derived by the two methods. Results suggest that for a two-sided quadratic loss function, linear release policies are more optimal. It is also established that the maximum R2 criterion, generally used for model selection, does not exactly produce the best form of a release policy, particularly for nonlinear forms. At target releases at or below the safe yield of the case study reservoir, and for a one-sided quadratic loss function, the standard policy is optimal. At higher targets, nonlinear policies give better performance than the standard policy. Other observations are made concerning the performance of the two optimization approaches in a real case study.
URI: http://hdl.handle.net/1811/36350
Other Identifiers: OCLC #8378018 (print)
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