Korean Journal of Soil Science and Fertilizer (한국토양비료학회지)

Korean Society of Soil Science and Fertilizer (한국토양비료학회)
권호 표지
DOI QR코드

DOI QR Code

Estimation of Rainfall Erosivity in North Korea using Modified Institute of Agricultural Sciences

수정 IAS 지수를 이용한 북한지역의 강우침식인자 추정

  • Lee, Joon-Hak (Department of Civil Engineering and Environmental Sciences, Korea Military Academy) ;
  • Heo, Jun-Haeng (Department of Civil and Environmental Engineering, Yonsei University)
  • 이준학 (육군사관학교 건설환경학과) ;
  • 허준행 (연세대학교 토목환경공학과)
  • Received : 2011.11.19
  • Accepted : 2011.12.16
  • Published : 2011.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Soil erosion in North Korea has been continued to accelerate by deterioration of topographical conditions. However, few studies have been conducted to predict the amount of soil loss in North Korea due to limited data so far. Rainfall erosivity is an important factor to predict the amount of long-term annual soil loss by USLE (universal soil loss equation). The purpose of this study is to investigate rainfall erosivity, which presented the potential risk of soil erosion by water, in North Korea. Annual rainfall erosivities for 27 stations in North Korea for 1983~2010 were calculated using regression models based on modified Institute of Agricultural Sciences (IAS) index in this study. The result showed that annual average rainfall erosivity in North Korea ranged from 2,249 to 7,526 and averaged value was $4,947MJmm\;ha^{-1}\;hr^{-1}\;yr^{-1}$, which corresponded to about 70% of annual average rainfall erosivity in South Korea. The finding was that the potential risk of soil erosion in North Korea has been accelerated by the increase of rainfall erosivity since the late 1990s.

Keywords

References

  1. Hwarangdae Research Institute. 2011. A Study on the Development of Isoerodent Map in Korea using Geographical Information System, Seoul, Korea.
  2. Im, S.C. and S.S. Kang. 2000. Agriculture of DPR Korea Under the Reign of Chairman Kim Jong - il : Changes and Prospects. North Korean Studies Review 4(1):p.149.
  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):112-118.
  4. 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.
  5. Jung, Y.S., C.S. Park, P.K. Jung, J.N. Im, and J.S. Shin. 2002. Estimation of R-factor for Universal Soil Loss Equation with Monthly Precipitation Data in North Korea. Korean J. Soil Sci. Fert. 35(2):87-92.
  6. Kim, C.S., I.G. Jang, and J.C. Lee. 1999. The Status and Problems of Agricultural Infrastructure in North Korea. North Korean Studies Review 4(1):p.264.
  7. Lee, G.S. and K.H. Lee. 2006. Scaling effect for estimating soil loss in the RUSLE model using remotely sensed geospatial data in Korea. Hydro. Earth Syst. Sci. Discuss. 3:139-140.
  8. Lee, G.S. and I.H. Choi. 2010. Scaling Effect for the Quantification of Soil Loss Using GIS Spatial Analysis. KSCE Journal of Civil Engineering 14(6):897-904. https://doi.org/10.1007/s12205-010-0878-x
  9. Lee, J.H. and J.H. Heo. 2011. Evaluation of estimation methods for rainfall erosivity based on annual precipitation in Korea. J. Hydrol. 409:30-48. https://doi.org/10.1016/j.jhydrol.2011.07.031
  10. Lee, J.H., K.D. Oh, and J.H. Heo. 2011. Estimation of Rainfallrunoff Erosivity Using Modified Institute of Agricultural Sciences index. J. Korean Water Res. Assoc. 44(8):619-628. https://doi.org/10.3741/JKWRA.2011.44.8.619
  11. Lee, M.B., N.S. Kim, S.H. Jin, and H.D. Kim. 2008. A Study on the Soil Erosion by landuse in the Imjin River Basin, DMZ of Central Korea. Journal of Korean Geographical Society 43(3):263-275.
  12. Lee, M.B., N.S. Kim, C.S. Kang, G.H. Shin, H.S. Choe, and W. Han. 2003. Estimation of Soil Loss Due to Cropland Increase in Hoeryeung, North Korea. Journal of the Korean Association of Regional Geographers 43(3):373-384.
  13. Lo, A., S.A. EI-Swaify, E.W. Dangler, and L. Shinshiro. 1985. Effectiveness of EI30 as an erosivity index in Hawaii. p. 384-392. In EI-Swaify, S.A. et al. (ed.) Soil Erosion and Conservation, Soil Conservation Society of America. Ankeny, Iowa.
  14. 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. J. Korean Water Res. Assoc. 33(5):603-610.
  15. Renard, K.G., G.R. Foster, G.A. Weesies, D.K. McCool, and D.C. Yoder. 1997. Predicting Soil Erosion by Water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). USDA Agric. Research Service. Washington, D.C.
  16. Ryu, I.S. 2000. Characteristics of Soil in North Korea. Symposium of soil, fertilizer and food in North Korea. Korean Society of Soil Science and Fertilizer 1-38.
  17. Shin, J.S., M.H. Koh, and J.N. Im. 1983. An approximation of the rainfall factor(R) in predicting soil loss. Korean J. Soil Sci. Fert. 16(2):106-111.
  18. Shin, K.J. 1999. The Soil Loss Analysis of Soil using GSIS in Watershed. Ph. D. Thesis, Kangwon National University. Chunchon, Korea.
  19. Toxopeus, A.G. 1997. Cibodas : the erosion issue. p. 307-321. In van Westen, C.J. et al. (ed.) the Integrated Land and Water Information System 2.1 for Windows : Applications guide. International Institute for Geo- Information Science and Earth Observation, Enschede, The Netherlands.
  20. Wischmeier, W.H. and D.D. Smith. 1978. Predicting rainfall erosion losses: A guide to conservation planning. USDA Agric. Handbook. No. 537. Washington, D.C.

Cited by

  1. Estimation of soil erosion rate in the Democratic People's Republic of Korea using the RUSLE model vol.13, pp.3, 2017, https://doi.org/10.1080/21580103.2017.1341435