A Study on Identifying Priority Management Areas and Implementing Best Management Practice for Effective Management of Nonpoint Source Pollution in a Rural Watershed, Korea

Jinsun Kim, Jiyeon Choi, Minji Park, Joong-Hyuk Min (), Jong Mun Lee, Jimin Lee, Eun Hye Na and Heeseon Jang
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Jinsun Kim: National Institute of Environmental Research, Incheon 22689, Korea
Jiyeon Choi: Yeongsan River Environment Research Center, National Institute of Environmental Research, Gwangju 61011, Korea
Minji Park: National Institute of Environmental Research, Incheon 22689, Korea
Joong-Hyuk Min: National Institute of Environmental Research, Incheon 22689, Korea
Jong Mun Lee: National Institute of Environmental Research, Incheon 22689, Korea
Jimin Lee: National Institute of Environmental Research, Incheon 22689, Korea
Eun Hye Na: National Institute of Environmental Research, Incheon 22689, Korea
Heeseon Jang: National Institute of Environmental Research, Incheon 22689, Korea

Sustainability, 2022, vol. 14, issue 21, 1-22

Abstract: It is difficult to accurately identify and manage the paths of nonpoint source (NPS) pollution in rural watersheds because their discharge patterns vary depending on season, region, and agricultural characteristics. In this study, flow and water quality during rainfall events were monitored in Songya watershed, an impaired, rural area in South Korea. A method of identifying priority management areas was proposed through scientific objectification and quantification of key factors controlling NPS, such as land use, agricultural type, and load. For the load calculation, a watershed model was developed using Hydrological Simulation Program Fortran (HSPF). Three priority management areas—Mulhan Stream, Osan Stream, and the upstream area of Songya Stream—were selected. Using the developed model, constructed wetlands with the capacity of 1000 m 3 were applied at the lower reach of each priority management subbasin and the impacts on NPS pollution reduction were tested. The simulated results showed that BOD and TP concentrations at the outlet of Songya watershed were lowered by 9.2% and 6.0%, respectively. It is expected that the method proposed in this study for identifying priority management areas and implementing best management practice in agricultural watersheds can be applied to similar areas which struggled with NPS pollution.

Keywords: best management practice; nonpoint source pollution; priority management area; rural watershed; watershed management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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