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http://dx.doi.org/10.14578/jkfs.2014.103.1.98

Application of RUSLE and MUSLE for Prediction of Soil Loss in Small Mountainous Basin  

Jung, Yu-Gyeong (Department of Forest Resources, Yeungnam University)
Lee, Sang-Won (Department of Forest Resources, Yeungnam University)
Lee, Ki-Hwan (Department of Forest Resources, Yeungnam University)
Park, Ki-Young (Department of Forest Resources, Yeungnam University)
Lee, Heon-Ho (Department of Forest Resources, Yeungnam University)
Publication Information
Journal of Korean Society of Forest Science / v.103, no.1, 2014 , pp. 98-104 More about this Journal
Abstract
This study aims to predict the amount of soil loss from Mt. Palgong's small basin, by using influence factors derived from related models, including RUSLE and MUSLE models, and verify the validity of the model through a comparative analysis of the predicted values and measured values, and the results are as follows: The amount of soil loss were greatly affected by LS factor. In comparison with the measured value of the amount of total soil loss, the predicted values by the two models (RUSLE and MUSLE), appeared to be higher than those of the measured soil loss. Predicted values by RUSLE were closer to values of measured soil loss than those of MUSLE. However, coefficient of variation of MUSLE were lower, but two model's coefficient of variation in similar partial patterns in the prediction of soil loss. RUSLE and MUSLE, prediction soil loss models, proved to be appropriate for use in small mountainous basin. To improve accuracy of prediction of soil loss models, more effort should be directed to collect more data on rainfall-runoff interaction and continuous studies to find more detailed influence factors to be used in soil loss model such as RUSLE and MUSLE.
Keywords
small mountain basin; Soil loss; RUSLE; MUSLE;
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Times Cited By KSCI : 5  (Citation Analysis)
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