Optimizing Structural Best Management Practices Using SWAT and Genetic Algorithm to Improve Water Quality Goals
作者： Prakash Kaini , Kim Artita , John W. Nicklow
DOI: 10.1007/S11269-012-9989-0
关键词: Hydrogeology 、 Sediment 、 Environmental science 、 Water quality 、 Water resource management 、 Detention basin 、 Soil and Water Assessment Tool 、 Watershed 、 Genetic algorithm 、 Environmental engineering 、 Best practice
摘要: A genetic algorithm (GA), an evolutionary optimization technique, is coupled with a semi-distributed hydrologic model, Soil and Water Assessment Tool (SWAT) to find optimum combination of structural Best Management Practices (BMPs) that meets the treatment goals at watershed scale. The BMPs considered in study are detention ponds, parallel terraces, filter strips, grassed waterways, grade stabilization structures which all applicable agricultural watersheds. decision variables model type, size, location minimize construction cost simultaneously reduce sediment nutrients target levels outlet. demonstrated on Silver Creek, sub-watershed Lower Kaskaskia Illinois. used compare three different nutrient reduction cases (i.e. 20%, 40%, and, 60%)
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