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http://dx.doi.org/10.15681/KSWE.2018.34.6.591

Multi-objective Optimization of BMPs for Controlling Water Quality in Upper Basin of Namgang Dam  

Park, Yoonkyung (Corporate-affiliated Research Institute, Deepcloud Co., Ltd.)
Lee, Jae Kwan (Water Environment Research Department, National Institute of Environmental Research)
Kim, Jeongsook (Department of Energy Environmental Engineering, Division of Chemical Engineering, Dongseo University)
Kim, Sangdan (Department of Environmental Engineering, Pukyong National University)
Publication Information
Journal of Korean Society on Water Environment / v.34, no.6, 2018 , pp. 591-601 More about this Journal
Abstract
Optimized BMP plans for controlling water quality using the Pareto trade-off surface curve in upper basin of Namgang Dam is proposed. The proposed alternatives consist of BMP installation scenarios in which the reduction efficiency of non-point pollutants is maximized in a given budget. The multi-objective optimization process for determining the optimal alternatives was performed without direct implementation of a watershed model such as SWAT analysis, thereby reducing the time taken. The shortening of the calculation time further enhances the applicability of the multi-objective optimization technique in preparing regional water quality management alternatives. In this study, different types of BMP are applied depending on the land use conditions. Fertilizer input control and vegetative filter strip are considered as alternatives to applying BMP to the field but only control of fertilizer input can be applied to rice paddies. Fertilizer input control and vegetative filter strip can be installed separately or simultaneously in a hydrologic response unit. Finally, 175 BMP application alternatives were developed for the water quality management of the upper river basin of Namgang dam. The proposed application alternative can be displayed on the map, which has the advantage of clearly defining the BMP installation location.
Keywords
BMP; Multi-objective optimization; SWAT; Water quality management;
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Times Cited By KSCI : 2  (Citation Analysis)
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