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남강댐 상류유역 수질관리를 위한 BMPs의 다목적 최적화

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

  • 박윤경 (딥클라우드 기업부설연구소) ;
  • 이재관 (국립환경과학원 물환경연구부) ;
  • 김정숙 (동서대학교 화학공학부 에너지환경공학전공) ;
  • 김상단 (부경대학교 환경공학과)
  • 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)
  • 투고 : 2018.09.17
  • 심사 : 2018.11.12
  • 발행 : 2018.11.30

초록

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.

키워드

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Fig. 1. SWAT analysis for upper watershed of Namgang Dam.

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Fig. 2. Mimetic diagrams for applicable BMPs.

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Fig. 3. Multi-objective optimization process without SWAT simulation.

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Fig. 4. Result of calibrated flow in study area.

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Fig. 5. Result of calibrated water quality (TP) in study area.

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Fig. 6. TP loading reduction efficiency according to BMPs scenarios.

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Fig. 7. Multi-objective optimization result for controlling TP loading.

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Fig. 9. The verification of multi-objective optimization for TP loading reduction.

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Fig. 8. Location of Plan A in upper basin of Namgang Dam for TP reduction.

Table 1. Information of Environmental facilities in study area

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Table 2. Fertilizer input amount per unit area with respect to land use

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Table 3. Non-point source TP loading by livestock

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Table 4. BMPs scenario

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Table 5. Cost information about applied BMPs

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Table 6. Final value of the calibrated flow and water quality parameters in SWAT

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Table 7. Final value of parameter “SOL_SOLP”

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