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Comparison of Annual Soil Loss using USLE and Hourly Soil Erosion Evaluation System

USLE모형과 시강우를 고려한 토양유실 평가 시스템을 이용한 연간 토양유실량 비교 분석

  • Kum, Dong-Hyuk (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Ryu, Ji-Chul (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Kang, Hyun-Woo (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Jang, Chun-Hwa (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Shin, Min-Hwan (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Shin, Dong-Shuk (National Institute of Environmental Research) ;
  • Choi, Joong-Dae (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Lim, Kyoung-Jae (Department of Regional Infrastructures Engineering, Kangwon National University)
  • 금동혁 (강원대학교 지역건설공학과) ;
  • 류지철 (강원대학교 지역건설공학과) ;
  • 강현우 (강원대학교 지역건설공학과) ;
  • 장춘화 (강원대학교 지역건설공학과) ;
  • 신민환 (강원대학교 지역건설공학과) ;
  • 신동석 (국립환경과학원 수질총량연구과) ;
  • 최중대 (강원대학교 지역건설공학과) ;
  • 임경재 (강원대학교 지역건설공학과)
  • Received : 2011.11.18
  • Accepted : 2011.12.13
  • Published : 2011.12.31

Abstract

Soil erosion and sediment has been known as one of pollutants causing water quality degradation in water bodies. With global warming issues worldwide, various soil erosion studies have been performed. Although on-site monitoring of sediment loss would be an ideal method to evaluate soil erosion condition, modeling approaches have been utilized to estimate soil erosion and to evaluate various best management practices on soil erosion reduction. Although the USLE has been used in soil erosion estimation for the last 40 years, the USLE model has limitations in estimating event-based soil erosion reflecting rainfall intensity and rainfall duration for long-term period. Thus, the calibrated model, capable of simulating soil erosion using hourly rainfall data, was utilized in this study to evaluate the effects of rainfall amount and rainfall intensity on soil erosion. It was found that USLE soil erosion value is $3.06ton\;ha^{-1}\;yr^{-1}$, while soil erosion values from 2006~2010 were $2.469ton\;ha^{-1}\;yr^{-1}$, $0.882ton\;ha^{-1}\;yr^{-1}$, $1.489ton\;ha^{-1}\;yr^{-1}$, $2.158ton\;ha^{-1}\;yr^{-1}$, $1.602ton\;ha^{-1}\;yr^{-1}$, respectively. Especially, soil erosion from single storm event for 2008-2010 would be responsible for 30% or more of annual soil loss. As shown in this study, hourly soil erosion estimation system would provide more detailed output from the study area. In addition, the effects of rainfall intensity on soil erosion could be evaluated with this system.

Keywords

References

  1. Donigian, A.S. and J.T. Love. 2003. Sediment calibration procedures and guidelines for watershed modeling. WEFTMDL, November 16-19, WEF Specialty Conference Proceedings on CD-ROM, Illinois, Chicago.
  2. Heo, S.G., K.S. Kim, M. Sagong, J.H. Ahn, and K.J. Lim. 2005. Evaluation of SWAT applicability to simulate soil erosion at Highland agricultural lands. Korean. Soc. Rural Planning. 11(4):67-74.
  3. Jung, P.K., M.H. Ko, J.N. Im, K.T. Um, and D.U. Choi. 1983. Rainfall erosion factor for estimating soil loss. Korean J. Soil Sci. Fert. 16(2):106-111.
  4. Jung, P.K., M.H. Ko, and K.T. Um. 1984. Discussion of cropping management factor for estimating soil loss. Korean J. Soil Sci. Fert. 18(1):7-13.
  5. Jung, Y.S., Y.K. Kwon, H.S. Lim, S.K. Ha, and J.E. Yang. 1999. R and K factors for an application of RUSLE on the slope soils in kangwon-do, Korea. Korean J. Soil Sci. Fert. 32(1):31-38.
  6. Kim, K.S., S.G. Heo, Y.S. Jung, J.M. Kim, and K.J. Lim. 2005. Analysis of soil erosion vulnerability at alpine agricultural fields of Hongcheon County. Korean. Soc. Rural Planning. 11(2):51-57.
  7. Kum, D.H., J.C. Ryu, J.W. Choi, M.H. Shin, D.S. Shin, S.U. Cheon, J.D. Choi, and K.J. Lim. 2011. Development and evaluation of long-term runoff-sediment evaluation system and BMPs evaluation modules for agricultural fields considering rainfall intensity. In rivew. Korean. J. Sco. Water Qual. in review
  8. Lee, J.W., J.S. Eom, B.C. Kim, W.S. Jang, J.C. Ryu, H.W. Kang, K.S. Kim, and K.J. Lim. 2011. Water quality prediction at Mandae watershed using SWAT and water quality improvement with vegetated filter strip. Korean. J. Sco. Agri. Engi. 53(1):37-45.
  9. Park, C.S. 1999. Monitoring of non- point pollutants from the different land use in the Yulmunchon tributary watershed, the So-yang river basin. Master thesis. Kangwon National University. Chuncheon, Korea.
  10. Park, Y.S., J.G. Kim, N.W. Kim, S.J. Kim, J.H. Jeon, B.A. Engel, W.S. Jang, and K.J. Lim. 2010. Development of new R, C and SDR modules for the GIS system. Computers & Geosciences. 36(2010):726-734. https://doi.org/10.1016/j.cageo.2009.11.005
  11. Ramanarayanan, T.S., J.R. Williams, W.A. Dugas, L.M. Hauck, and A.M.S. McFarland. 1997. Using APEX to identify alternative practices for animal waste management. ASAE International Meeting, Minneapolis, MN. 97-2209.
  12. Shin, M.H., C.H. Won, W.J. Park, Y.H. Choi, J.R. Jang, K.J. Lim, and J.D. Choi. 2011. Analysis of the reduction effect on NPS pollution loads by surface cover application. Korean J. Sco. Agri. Engi. 53(4):29-37.

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