• Application of KORSLE to Estimate Soil Erosion at Field Scale
  • Song Jae Min1·Jae E Yang2·Kyoung Jae Lim3·Youn Shik Park1*

  • 1Rural Construction Engineering, Kongju National University
    2Dept of Biological Environment, Kangwon National University
    3Dept of Regional Infrastructure Engineering, Kangwon National University

  • 한국형 토양유실공식에 의한 토양유실량 현장예측
  • 송재민1·양재의2·임경재3·박윤식1*

  • 1공주대학교 생물산업공학부
    2강원대학교 바이오자원환경학과
    3강원대학교 지역건설공학과

Abstract

In 2013, the Ministry of Environment in South Korea promulgated a new regulatory bulletin that contained revised enforcement ordinance on soil management protocols. The bulletin recommends the use of Universal Soil Loss Equation (USLE) for the soil erosion estimation, but USLE has limited applicability in prediction of soil erosion because it does not allow direct estimation of actual mass of soil erosion. Therefore, there is a great need of revising the protocol to allow direct comparison between the measured and estimated values of soil erosion. The Korean Soil Loss Equation (KORSLE) was developed recently and used to estimate soil loss in two fields as an alternative to existing USLE model. KORSLE was applied to estimate monthly rainfall erosivity indices as well as temporal variation in potential soil loss. The estimated potential soil loss by KORSLE was adjusted with correction factor for direct comparison with measured soil erosion. The result was reasonable since Nash-Stucliff efficiency were 0.8020 in calibration and 0.5089 in validation. The results suggest that KORSLE is an appropriate model as an alternative to USLE to predict soil erosion at field scale. 


Keywords: KORSLE, Soil erosion, USLE, Sensitivity analysis

This Article

  • 2019; 24(5): 31-41

    Published on Oct 31, 2019

  • 10.7857/JSGE.2019.24.5.031
  • Received on Sep 11, 2019
  • Revised on Oct 3, 2019
  • Accepted on Oct 17, 2019

Correspondence to

  • Youn Shik Park
  • Rural Construction Engineering, Kongju National University

  • E-mail: park397@kongju.ac.kr