• Title/Summary/Keyword: BMP scenario

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Improvement of Stream Water Quality by Applying Best Management Practices to Chungjudam Watershed using SWAT Model (SWAT 모형을 이용한 최적관리기법 적용에 따른 충주댐 유역의 하천수질 개선연구)

  • Yu, Yung-Seok;Park, Jong-Yoon;Shin, Hyung-Jin;Kim, Saet-Byul;Kim, Seong-Joon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.1
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    • pp.55-62
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    • 2012
  • This study is to assess the reduction of nonpoint source pollution by applying Best Management Practice (BMP) in Chungju-dam watershed (6,585.1 $km^2$) using Soil and Water Assessment Tool (SWAT). The model was calibrated using 3 years (1998-2000) daily streamflow at 3 locations and monthly water quality of sediment (SS), total nitrogen (T-N) and total phosphorus (T-P) data at 2 locations and validated for another 3 years (2001-2003) data. The 5 BMPs of streambank stabilization, porous gully plugs, recharge structures, terrace, and contour farming were applied to stream and area with the specific criteria of previous researches. Through the parameter sensitivity analysis, the farming practice P-factor and Manning's roughness of stream were sensitive. Overall, the NPS reduction effect was high for streambank stabilization, terrace, and contour farming. At the watershed outlet, the SS, T-P, and T-N were reduced by 64.4 %, 62.8 % and 17.6 % respectively.

Application and Effectiveness Analysis of SWAT Filter Strip in Golji Watershed (골지천 유역의 최적관리기법 적용에 따른 수질개선효과 분석)

  • Park, Youn Shik;Kwon, Jae Hyouk
    • Korean Journal of Environmental Agriculture
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    • v.33 no.1
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    • pp.30-36
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    • 2014
  • BACKGROUND: Best management practices are often implemented to control nonpoint source pollutants. Best management practices need to be simulated and analyzed for effective Best management practices implementations. Filter strip is one of effective Best management practices in agricultural areas. METHODS AND RESULTS: Soil and Water Assessment Tool model was selected to explore the effectiveness of filter strip to control total phosphorous in Golji watershed. Soil and Water Assessment Tool model was calibrated for flow and total phosphorous by Sequential Uncertainty Fittin ver.2 algorithm provided in Soil and Water Assessment Tool-Calibration and Uncertainty Procedures. Three scenarios defined by filter strip width were applied. The filter strip width of 5 m was able to reduce the most amount of total phosphorous. In other words, the total phosphorous reduction by filter strip of 5 m was 28.0%, while the reduction was 17.5% by filter strip of 1 m. However, the reduction per unit filter strip width were 17.4%, 8.0%, and 4.5% for 1 m, 3 m, and 5 m of filter strips, respectively. CONCLUSION: Best management practices need to be simulated and analyzed so that the BMP scenario can be cost-effective. A large size of BMP might be able to control large amount of pollutants, however it would not be indicated as a cost-effective strategy.

Reduction of Agricultural Non-point Pollution Source by Scenarios of Best Management Practices on Cropping System Alternatives of Main Upland Crop in Saemangeum Watershed (새만금 유역 주요 밭작물 작부체계 최적관리기법 시나리오별 농업비점오염원 저감)

  • Son, Jae Gwon;Lee, Gyeong Ae;Yoo, Dong Su;Cho, JaeYoung
    • Journal of Applied Biological Chemistry
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    • v.57 no.1
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    • pp.95-101
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    • 2014
  • Nonpoint pollution sources from agricultural activities are a major cause of water quality impairment. A nutrient management program utilizes farm practices that maintain efficient crop production systems and control agricultural nonpoint pollution sources. The objectives of present study were to identify appropriate best management practices (BMPs) according to changes of cropping system of main upland crop for reducing AGNPs loadings and to simulate the effects of the application of the several BMPs scenarios in Saemangeum watershed. The selected BMP scenarios were: 1) to convert naked barley and hulled barley to hairy vetch or chinese milk vetch, 2) to convert red pepper to soybean crop, and 3) to combine two scenarios, converting naked barley and hulled barley to hairy vetch or chinese milk vetch + converting red pepper to soybean crop. As a result of BMPs application, the crop requirement of nitrogen and phosphorus for upland crop reduced nitrogen by 41% and phosphorus by 47% in scenario 1, whereas scenario 2 reduced nitrogen by 30% and phosphorus by 23%. Overall, scenario 3 reduced nitrogen by 72% and phosphorus by 70% in agricultural non-point pollution sources associated with chemical fertilizer and livestock manure in Saemangeum watershed.

Application of BASINS/WinHSPF for Pollutant Loading Estimation in Soyang Dam Watershed (소양강댐 유역의 오염부하량 산정을 위한 BASINS/WinHSPF 적용)

  • Yoon, Chun-Gyeong;Han, Jung-Yoon;Jung, Kwang-Wook;Jang, Jae-Ho
    • Korean Journal of Ecology and Environment
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    • v.40 no.2
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    • pp.201-213
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    • 2007
  • In this study, the Batter Assessment Science Integrating point and Nonpoint Sources (BASINS 3.0)/window interface to Hydrological Simulation Program-FPRTRAN (WinHSPF) was applied for assessment of Soyang Dam watershed. WinHSPF calibration was performed using monitoring data from 2000 to 2004 to simulate stream flow. Water quality (water temperature, DO, BOD, nitrate, total organic nitrogen, total nitrogen, total organic phosphorus and total phosphorus) was calibrated. Calibration results for dry-days and wet-days simulation were reasonably matched with observed data in stream flow, temperature, DO, BOD and nutrient simulation. Some deviation in the model results were caused by the lack of measured watershed data, hydraulic structure data and meteorological data. It was found that most of pollutant loading was contributed by nonpoint source pollution showing about $98.6%{\sim}99.0%$. The WinHSPF BMPRAC was applied to evaluate the water quality improvement. These scenarios included constructed wetland for controlling nonpoint source poilution and wet detention pond. The results illustrated that reasonably reduced pollutant loadin. Overall, BASINS/WinHSPF was found to be applicable and can be a powerful tool in pollutant loading and BMP efficiency estimation from the watershed.