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Application of ArcGIS-based Model Developed to Estimate Monthly Potential Soil Loss

월단위 토양유실가능성 추정을 위해 개발된 ArcGIS 기반의 모형 적용

  • Yu, Na Young (Department of Rural Construction Engineering, Kongju National University) ;
  • Shin, Min Hwan (Korea Water Environment Research Institute) ;
  • Kim, Jonggun (Institute of Agriculture and Life Science, Kangwon National University) ;
  • Park, Youn Shik (Department of Rural Construction Engineering, Kongju National University)
  • Received : 2017.08.08
  • Accepted : 2017.09.18
  • Published : 2017.09.30

Abstract

Universal soil loss equation (USLE) is used to estimate soil loss solely or employed in any hydrologic models. Since soil erosion has been an issue in South Korea for decades, the Ministry of Environment enacted a law to regulate soil erosion in 2012, which is the Notification of topsoil erosion status. The notification is composed of preliminary and field investigations, the preliminary investigation suggests to use USLE and provides USLE factors. However, the USLE factors provided in the notification was prepared at least 10 years ago, therefore it is limited to reflect recent climate changes. Moreover the current yearly USLE approach does not provide an opportunity to consider seasonal variation of soil erosion in South Korea. A GIS-based model was therefore applied to evaluate the yearly USLE approach in the notification. The GIS-based model employs USLE to estimate soil loss, providing an opportunity to estimate monthly soil loss with monthly USLE factor databases. Soil loss was compared in five watersheds, which were Geumgang, Hangang, Nakdonggang, Seomjingang, and Yeongsangang watersheds. The minimum difference was found at Seomjingang watershed, the yearly potential soil loss were 40.15 Mg/ha/yr by the notification approach and 34.42 Mg/ha/yr by the GIS-based model using monthly approach. And, the maximum difference was found at Nakdonggang watershed, the yearly potential soil loss were 27.01 Mg/ha/yr by the notification approach and 10.67 Mg/ha/yr by the GIS-based model using monthly approach. As a part of the study result, it was found that the potential soil loss can be overestimated in the notification approach.

Keywords

References

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