All Issue

2017 Vol.22, Issue 6 Preview Page
31 December 2017. pp. 29 ~ 36
Abstract
Universal soil loss equation (USLE) has been frequently employed to estimate potential soil loss in land since it was developed based on the statewide data measured and collected in the United States. The equation is an empirical model mainly used for U.S. soil, thus it has been recently modified to reflect Korean soil conditions and named as Korean Soil Loss Equation (KORSLE). The modified equation was implemented in ArcGIS software, and used for estimation of potential soil loss from 2003 to 2016 in the thirty-eight Water Protection Districts. Five out of the thirty-eight districts were identified as the area of potential soil erosion most severly. In those five districts, potential soil erosion were estimated to be more than 50 Mg/ha/year that requires site investigation under supervision of the Korean Ministry of Environment. Distinctive site characteristics were found in the potential soil loss estimation such that the districts of low potential soil loss had low five factors in the aggregate. However, if one of more factors are dominantly large, the potential soil loss significantly increased. This study provides a useful tool to identify the potential areas for soil erosion and the important factors that play an important role in the estimation process.

References
  1. Kongju National University, 2015, Development of topsoil erosion model for Korea. Yesan-gun: Republic of Korea
  2. Kongju National University, 2016, Development of topsoil erosion model for Korea. Yesan-gun: Republic of Korea
  3. Lee, W., Jang, C., Kim, D., Jung, Y., Kang, H., Lim, K.J., and Park, Y.S., 2014, Analysis of temporal change in soil erosion potential at Haean-myeon watershed due to climate change, Korean Soc. Soil Sci. Fert., 47(2), 71-79.10.7745/KJSSF.2014.47.2.071
  4. Ministry of Environment, 2012, A bulletin on the survey of the erosion of topsoil. Sejong-si: Ministry of Environment
  5. Park, Y.S., Kim, J., Kim, N.W., Kim, S.J., Jeon, J.H., Engel, B.A., Jang, W., and Lim, K.J., 2010, Development of new R, C and SDR modules for the SATEEC GIS system, Comp. Geo., 36(6), 726-734.10.1016/j.cageo.2009.11.005
  6. Park, Y.S., Engel, B.A., and Harbor, J., 2014, A web-based model to estimate the impact of best management practices, WATER, 6(3), 455-471.10.3390/w6030455
  7. Renard, K.G., Foster, G.R., Weesies, D.K., McCool, and Yoder, D.C., 1997, Predicting soil erosion by water: A guide to conservation planning with the revised universal soil loss equation (RUSLE). U.S. Depart of Agriculture Handbook No. 703.
  8. Risal, A., Bhattarai, R., Kum, D., Park, Y.S., Yang, J.E., and Lim, K.J., 2016, Application of Web ERosivity Module (WERM) for estimation of annual and monthly R factor in Korea, CATENA 147, 225-237.10.1016/j.catena.2016.07.017
  9. Sung, Y.S., Jung, Y., Lim, K.J., Kim, J., Kim, K.S., Shin, M.H., Kum, D.H., and Park, Y.S., 2016, A study to develop monthly cover management factor database for monthly soil loss estimation, J. Korean Soc. Ag. Eng., 58(6), 23-30.
  10. Wischmeier, W.H. and Smith, D.D., 1965. Predicting rainfallerosion losses from cropland east of the Rocky Mountains: Guide for selection of practices for soil and water conservation. U.S. Depart of Agriculture Handbook No. 282.
  11. Wischmeier, W.H., 1976, Use and misuse of the universal soil loss equation, J. Soil Water Conserv., 31, 5-9.
  12. Wischmeier, W.H. and Smith, D.D., 1978, Predicting rainfall erosion losses: A guide to conservation planning Handbook No.537. U. S. Department of Agriculture
  13. Yu, N.Y, Lee, D.J., Han, J., Lim, K.J., Kim, J., Kim, K.H., Kim, S., Kim, E.S., and Park, Y.S., 2017, Development of ArcGISbased model to estimate monthly potential soil loss, J. Korean Soc. Ag. Eng., 59(1), 21-30.
Information
  • Publisher :The Korean Society of Soil and Groundwater Environment
  • Publisher(Ko) :한국지하수토양환경학회
  • Journal Title :Journal of Soil and Groundwater Environment
  • Journal Title(Ko) :지하수토양환경
  • Volume : 22
  • No :6
  • Pages :29 ~ 36