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http://dx.doi.org/10.7857/JSGE.2014.19.6.030

The Estimation of Soil Loss in the Buffer Zone of Guem River using a Simulation of Future Climate Change  

Lee, Dal-Heui (sung Ji Engineering Co., Ltd.)
Chung, Sung-Lae (Sung Ji Engineering Co., Ltd.)
Publication Information
Journal of Soil and Groundwater Environment / v.19, no.6, 2014 , pp. 30-36 More about this Journal
Abstract
The objective of this study is to estimate soil loss in the buffer zone of Guem river with future climate change simulation. Revised Universal Soil Loss Equation (RUSLE) model was used for the estimation of soil loss at the buffer zone of Guem river. As results of simulations, the area of the maximum soil loss potential was estimated as the Cheongsung-myeon Okchun-gun Chungcheongbuk-do. The soil losses were estimated to be 106.67 and 103.00 ton/ha/yr for the 2020 segi (2015-2025) and 2040 segi (2035-2045) in the Cheongsung-myeon area, respectively. Also, the estimated average values of soil losses in the Cheongsung-myeon with future climate change was 110.78 ton/ha/yr.
Keywords
Soil loss; Buffer zone; Guem river; Future climate change; RUSLE;
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Times Cited By KSCI : 5  (Citation Analysis)
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1 Park, J.S. and Kim, G.H., 2006, Estimation of soil loss by land use in the Geum river basin using RUSLE Model, J. Kor.. Soc. Water Qual., 22(4), 619-625.   과학기술학회마을
2 Renard, K.G., Foster, G.R., Weesies, G.A., McCooL, D.K., and Yoder, D.C., 1997, Predicting Soil Loss by Water: A guide to conservation planning with the revised universal soil loss equation (RUSLE), Agr. Handbook (Washington), 703.
3 Turnage, K.M., Lee, S.Y., Foss, J.E., Kim, K.H., and Larsen, I.L., 1997, Comparison of soil erosion and deposition rates using radio-cesium, RUSLE, and buried soils in dolines in East Tennessee, Environ. Geol., 29, 1-10.   DOI
4 Walsh, M.E., Jenkins, T.F., and Thorne, P.G., 1995, Laboratory and field analytical methods for explosives residues in soil; Proceedings of the Symposium on Alternatives to Incineration for Disposal of Chemical Munitions and Energetics, 2, 17.
5 Wischmeier, W.H. and Smith, D.D., 1978, Predicting rainfall erosion losses - A guide to conservation planning, US DOA, Agr. Handbook, 537.
6 Yoon, S.W., Ye, L., and Chung, S.W., 2007, Application of SWAT model for estimating soil erosion in Daecheong dam watershed, Korean Society on Water Environment.Korean Society of Water and Wastewater Association Spring Conference Symposium, 1101-1110.
7 Kim, J.H. and Oh, D.K., 2004, Analysis of soil erosion hazard zone by R factor frequency, J. GIS Assoc. Kor., 7(2), 47-56.   과학기술학회마을
8 Jang, Y.R., Lee, G.S., and Cho, G.S., 2002, The Determination of resolution for quantification of soil loss in GIS environment, J. GIS Assoc. Kor., 10(2), 301-316.   과학기술학회마을
9 Jung, K.H., Sonn, Y.K., Hong, S.Y., Hur, S.O., and Ha, S.K., 2005, Assessment of national soil loss and potential erosion area using the digital detailed soil maps, Kor. J. Soil Sci. Fert., 38(2), 59-65.   과학기술학회마을
10 Oh, J.H. and Jung, S.G., 2005, Potential soil loss prediction for land resource management in the Nakdong river basin, J. Kor. Soc. Rural. Plan., 11(2), 9-19.   과학기술학회마을
11 Lim, K. J., Sagong, M., Engel, B. A., Tang, Z., Choi, J. D., and Kim, K. S., 2005, GIS-based sediment assessment tool, Catena, 64, 61-80.   DOI   ScienceOn
12 Moore, I. and Burch, G., 1986, Physical basis of the length-slope factor in the universal soil loss equation, Soil Soc. Amer. J., 50, 1294-1298.   DOI   ScienceOn
13 Park, G.H., 2003, Soil erosion risk assessment of the Geumho river watershed using GIS and RUSLE methods, J. GIS Assoc. Kor., 6(4), 24-36.   과학기술학회마을