Multiobjective Watershed-Level Planning of Storm-Water Detention Systems
作者： Chao-Hsien Yeh , John W. Labadie
DOI: 10.1061/(ASCE)0733-9496(1997)123:6(336)
关键词: Mathematical optimization 、 Dynamic programming 、 Routing (hydrology) 、 Environmental engineering 、 Computer science 、 Watershed 、 Robustness (computer science) 、 Detention basin 、 Genetic algorithm 、 Flood control 、 Stormwater
摘要: Detention basins are the most popular structural measure for urban flood control and have proven effective both water quantity quality management. Integrated, watershed-level planning of layout sizing detention systems is essential because localized solutions may actually aggravate negative impacts drainage. Successive reaching dynamic programming (SRDP) applied to minimize system costs maintaining ranges desired downstream peak flow attenuation, with basin channel routing imbedded within algorithm. A multiobjective genetic algorithm (MOGA) also generating nondominated cost effect a system. These algorithms design stormwater in Pazam watershed located southern Taiwan. The case study confirms robustness computational efficiency SRDP algorithm, MOGA generates wide range trade-off analysis using proposed \Ielite conservation\N procedure.
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