Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
권호 표지
DOI QR코드

DOI QR Code

A Study to Determine the Rainfall Erosivity Factor of Universal Soil Loss Equation using Recent Rainfall Data

최근 강수 자료를 이용한 범용토양유실공식의 강우침식능인자 정의에 관한 연구

  • Kim, Jonggun (Department of Regional Infrastructures Engineering, Kangwon National University) ;
  • Jang, Jin Uk (Department of Rural Construction Engineering, Kongju National University) ;
  • Seong, Gak Gyu (Department of Rural Construction Engineering, Kongju National University) ;
  • Cha, Sang Sun (Department of Rural Construction Engineering, Kongju National University) ;
  • Park, Youn Shik (Department of Rural Construction Engineering, Kongju National University)
  • Received : 2018.08.06
  • Accepted : 2018.09.28
  • Published : 2018.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

Universal Soil Loss Equation (USLE) has been widely used to estimate potential soil loss because USLE is a simple and reliable method. The rainfall erosivity factor (R factor) explains rainfall characteristics. R factors, cited in the Bulletin on the Survey of the Erosion of Topsoil of the Ministry of Environment in the Republic of Korea, are too outdated to represent current rainfall patterns in the Republic of Korea. Rainfall datasets at one minute intervals from 2013 to 2017 were collected from fifty rainfall gauge stations to update R factors considering current rainfall condition. The updated R factors in this study were compared to the previous R factors which were calculated using the data from 1973 to 1996. The coefficient of determination between the updated and the previous R factors shows 0.374, which means the correlation is not significant. Therefore, it was concluded that the previous R factors might not explain current rainfall conditions. The other remarkable result was that regression equations using annual rainfall data might be inappropriate to estimate reasonable R factors because the correlation between annual rainfall and the R factors was generally unsatisfy.

Keywords

References

  1. Jung, K. H., W. T. Kim, S. O. Hur, P. K. Jung, and Y. S. Jung, 2004. USLE/RUSLE factors for national scale soil loss based on the digital detailed soil map. Korean Journal of Soil Science and Fertilizer 37(4): 199-206.
  2. 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 Journal of Soil Science and Fertilizer 16: 112-118 (in Korean).
  3. Jung, Y. S., J. S. Kwon, H. S. Lim, S. K. Ha, and J. E. Yang, 1999. R and K factors for application of RUSLE on the slope soils in Kangwon-Do. Korean Journal of Soil Science and Fertilizer 32: 31-38 (in Korean).
  4. Kim, S., C. Yu, S. W. Lee, W. H. Ji, and M. W. Jang, 2017. Development of USLExls and its application for the analysis of the impact. Journal of the Korean Society of Agricultural Engineers 59(6): 109-125 (in Korean). https://doi.org/10.5389/KSAE.2017.59.1.109
  5. Lee, M. H. and H. H. Lin, 2015. Evaluation of annual rainfall erosivity index based on daily, monthly, and annual precipitation data of rainfall station network in Southern Taiwan. International Journal of Distributed Sensor Networks 2015: 1-15. doi:10.1155/2015/214708.
  6. Ministry of Environment, 2012. A bulletin on the survey of the erosion of topsoil. Sejong-si: Ministry of Environment.
  7. Park, J. H., H. S. Woo, C. K. Pyun, and K. I. Kim, 2000. A study of distribution of rainfall erosivity in USLE/RUSLE for estimation of soil loss. Korea Water Resources Association 33(5): 603-610 (in Korean).
  8. Renard, K. G. and J. R. Freimund, 1994. Using monthly precipitation data to estimate the R-factor in the revised USLE. Journal of Hydrology 157: 287-306.
  9. Risal, A., R. Bhattarai, D. Kum, Y. S. Park, J. E. Yang, and K. J. Lim, 2016. Application of Web ERosivity Module (WERM) for estimation of annual and monthly R factor in Korea. CATENA 147: 225-237. https://doi.org/10.1016/j.catena.2016.07.017
  10. Sholagberu, A. T., M. R. U. Mustafa, K. W. Yusof, and M. H. Ahmad, 2016. Evaluation of rainfall-runoff erosivity factor for Cameron highlands, Pahang, Malaysia. Journal of Ecological Engineering 17(3): 1-8. doi:10.12911/22998993/63338.
  11. Wischmeier, W. H. and D. D. Smith, 1965. Predicting rainfall erosion losses from cropland east of the Rocky Mountains: A guide for selection of practices for soil and water conservation Handbook No.282. Agricultural Researach Service U. S. Department of Agriculture.
  12. Wischmeier, W. H. and D. D. Smith, 1978. Predicting rainfall erosion losses: A guide to conservation planning Handbook No.537. U. S. Department of Agriculture.
  13. Woo, W., J. Moon, N. W. Kim, J. Choi, K. Kim, Y. S. Park, W. S. Jang, and K. J. Lim, 2010. Evaluation of SATEEC daily R module using daily rainfall. Journal of Korean Society on Water Qualty 26(5): 841-849 (in Korean).
  14. Yu, N. Y., D. J. Lee, J. H. Han, K. J. Lim, J. Kim, J. H. Kim, S. Kim, E. S. Kim, and Y. S. Park, 2017a. Development of ArcGIS-based model to estimate monthly potential soil loss. Journal of the Korean Society of Agricultural Engineers 59(1): 21-30 (in Korean). https://doi.org/10.5389/KSAE.2017.59.1.021
  15. Yu, N. Y., M. H. Shin, J. Kim, and Y. S. Park, 2017b. Application of ArcGIS-based model developed to estimate monthly potential soil loss. Journal of the Korean Society of Agricultural Engineers 59(5): 109-126 (in Korean). https://doi.org/10.5389/KSAE.2017.59.1.109