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http://dx.doi.org/10.7857/JSGE.2019.24.5.031

Application of KORSLE to Estimate Soil Erosion at Field Scale  

Song, Jae Min (Rural Construction Engineering, Kongju National University)
Yang, Jae E (Dept of Biological Environment, Kangwon National University)
Lim, Kyoung Jae (Dept of Regional Infrastructure Engineering, Kangwon National University)
Park, Youn Shik (Rural Construction Engineering, Kongju National University)
Publication Information
Journal of Soil and Groundwater Environment / v.24, no.5, 2019 , pp. 31-41 More about this Journal
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;
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Times Cited By KSCI : 5  (Citation Analysis)
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