Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Classic Optimization Techniques Applied to Stormwater and Nonpoint Source Pollution Management at the Watershed Scale
Linear and dynamic programming formulations are introduced for optimizing the placement of distributed best management practices (BMPs) at the watershed scale. The results of linear programming optimization of infiltration-based stormwater management BMPs are compared with the results of genetic algorithm (GA)optimization using a nonlinear distributed model. Additionally, linear and dynamic programming optimization of sediment-trapping BMPs are compared with GA optimization using a nonlinear distributed model. The results indicate that the solution to stormwater peak-flow reduction is influenced primarily by distributed-flow arrival time, and a linear programming analog to a nonlinear optimization model can efficiently reproduce much of the same solution structure. Linear and dynamic programming solutions to the storm sediment-management problem indicate natural sediment trapping is an important consideration, and a solution to the sediment-management-optimization problem can be efficiently found using a dynamic programming formulation.
Classic Optimization Techniques Applied to Stormwater and Nonpoint Source Pollution Management at the Watershed Scale
Linear and dynamic programming formulations are introduced for optimizing the placement of distributed best management practices (BMPs) at the watershed scale. The results of linear programming optimization of infiltration-based stormwater management BMPs are compared with the results of genetic algorithm (GA)optimization using a nonlinear distributed model. Additionally, linear and dynamic programming optimization of sediment-trapping BMPs are compared with GA optimization using a nonlinear distributed model. The results indicate that the solution to stormwater peak-flow reduction is influenced primarily by distributed-flow arrival time, and a linear programming analog to a nonlinear optimization model can efficiently reproduce much of the same solution structure. Linear and dynamic programming solutions to the storm sediment-management problem indicate natural sediment trapping is an important consideration, and a solution to the sediment-management-optimization problem can be efficiently found using a dynamic programming formulation.
Classic Optimization Techniques Applied to Stormwater and Nonpoint Source Pollution Management at the Watershed Scale
Limbrunner, James F. (Autor:in) / Vogel, Richard M. (Autor:in) / Chapra, Steven C. (Autor:in) / Kirshen, Paul H. (Autor:in)
Journal of Water Resources Planning and Management ; 139 ; 486-491
15.08.2013
62013-01-01 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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