A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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. (author) / Vogel, Richard M. (author) / Chapra, Steven C. (author) / Kirshen, Paul H. (author)
Journal of Water Resources Planning and Management ; 139 ; 486-491
2013-08-15
62013-01-01 pages
Article (Journal)
Electronic Resource
English
| British Library Online Contents | 2013
Nonpoint source pollution decrease and stormwater treatment Apparatus
| European Patent Office | 2024
WATERSHEDSS: A Decision Support System for Watershed-scale Nonpoint Source Pollution Control
| British Library Conference Proceedings | 1996