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http://dx.doi.org/10.7745/KJSSF.2012.45.1.112

Evaluation of Erosivity Index (EI) in Calculation of R Factor for the RUSLE  

Kim, Hye-Jin (Dept. of Bio-Environmental Chemistry, College of Agriculture and Life Sciences, Chungnam National University)
Song, Jin-A (Dept. of Bio-Environmental Chemistry, College of Agriculture and Life Sciences, Chungnam National University)
Lim, You-Jin (Dept. of Bio-Environmental Chemistry, College of Agriculture and Life Sciences, Chungnam National University)
Chung, Doug-Young (Dept. of Bio-Environmental Chemistry, College of Agriculture and Life Sciences, Chungnam National University)
Publication Information
Korean Journal of Soil Science and Fertilizer / v.45, no.1, 2012 , pp. 112-117 More about this Journal
Abstract
The Revised Universal Soil Loss Equation (RUSLE) is a revision of the Universal Soil Loss Equation (USLE). However, changes for each factor of the USLE have been made in RUSLE which can be used to compute soil loss on areas only where significant overland flow occurs. RUSLE which requires standardized methods to satisfy new data requirements estimates soil movement at a particular site by utilizing the same factorial approach employed by the USLE. The rainfall erosivity in the RUSLE expressed through the R-factor to quantify the effect of raindrop impact and to reflect the amount and rate of runoff likely is associated with the rain. Calculating the R-factor value in the RUSLE equation to predict the related soil loss may be possible to analyse the variability of rainfall erosivity with long time-series of concerned rainfall data. However, daily time step models cannot return proper estimates when run on other specific rainfall patters such as storm and daily cumulative precipitation. Therefore, it is desirable that cross-checking is carried out amongst different time-aggregations typical rainfall event may cause error in estimating the potential soil loss in definite conditions.
Keywords
Soil loss; RUSLE; R factor; Erosivity index; Rainfall intensity;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Arnoldus, H.M.J. 1980. An approximation of the rainfall factor in the USLE. IN: M. DeBoodt and D. Gabriels (Ed.), Assessment of Erosion. John Wiley & Sons. Chichester. pp.127-132.
2 Barfield, B.J., R.C. Warner., and C.T. Haan. 1983. Applied Hydrology and Sedimentology for Disturbed Areas. Oklahoma Technical Press. Stillwater, Oklahoma.
3 Brown, L.C. and Foster, G.R. 1987. Storm erosivity using idealized intensity distributions. Transaction of the ASAE 30:379-386.   DOI
4 Carpenter, S.R., N.F. Caraco, D.L. Correll, R.W. Howarth, A.N. Sharpley, and V.H. Smith. 1998. Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecological Applications. 8:559-568.   DOI
5 Diodato, N. 2005. Predicting RUSLE (Revised Universal Soil Loss Equation) monthly erosivity index from readily available rainfall data in Mediterranean area. The Environmentalist. 26:63-70.
6 Diodato, N. 2004. Estimate RUSLE's rainfall factor in the part of Italy with a Mediterranean rainfall regime. Hydrology and Earth System Sciences. 8:103-107.   DOI
7 Ferro, V., Giordano, G., and Lovino, M. 1991. Isoerosivity and erosion risk map for Sicily. Hydrol. Sci. J. 36:549-564.   DOI
8 Gallaher, R.N. and L. Hawf. 1997. Role of conservation tillage in podcution of a wholesome food supply. Proc. 20th Annual Southern Conservation Tillage for Sustainable Agriculture. Gainesville, FL. June 24-26. pp. 23-27.
9 Hudson, N.W. 1961. An introduction to the mechanics of soil erosion under conditions of subtropical rainfall. Proceedings of the Rhodesian Scientists Association, 49:15-25.
10 Istok, J.D., McCool, D.K., King, L.G., and Boersma, L. 1986. Effect of rainfall measurement interval on EI calculation. Trans. ASAE. 29(3):730-734.   DOI
11 Janecek, M., E. Kub, and M. Tippl. 2006. Revised determination of the rainfall-runoff erosivity factor r for application of USLE in the Czech Republic. Soil and Water Res. 2:65-71.
12 Jung, K.H., Y.K. Sonn, S.Y. Hong, S.O. Hur, and S.K. Ha. 2005. USLE/RUSLE Factors for National Scale Soil Loss Estimation Based on the Digital Detailed Sail Map. Korean J. Soil Sci. Fert. 38:59-68.
13 Lee, J.H., J.Y. Shin, and J.H. Heo. 2011. Evaluation of rainfall erosivity in korea using different kinetic energy equations. Korean J. Soil Sci. Fert. 44:337-343.   DOI
14 Kim, M.K, S.J. Park, C.M. Choi, B.G. Ko, J.S. Lee, and D.C. Flanagan. 2010. Short Communication : Soil Erosion Assessment Tool -Water Erosion Prediction Project (WEPP). Korean J. Soil Sci. Fert. 41:235-238.
15 Laflan, J.M. and W.C. Moldenhauer. 2003. Pioneering soil erosion prediction. The USLE Story. WASWC. Special Publication. 1:54.
16 Lal, R. and Stewart, B.A. 1990. Soil Degradation, Springer-Verlag, NY. 129-172.
17 Pimentel, D. 1993. World Soil Erosion and Conservation, Cambridge University Press, Cambridge, UK.
18 Pimentel, D., Harvey, C., Resosudarmo, P., Sinclair, K., Kurz, D., McNair, M., Crist, S., Sphpritz, L., Fitton, L., Saffouri, R., and Blair, R. 1995. Environmental and economic costs of soil erosion and conservation benefits. Science. 267:1117-1123.   DOI   ScienceOn
19 Pimentel, D., and N. Kounang. 1998. Ecology of soil erosion in ecosystems. Ecosystems. 1:416-426.   DOI
20 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 Agr. Handbook. No. 703.
21 Renard, K.G. and Ferreira, V.A. 1993. RUSLE model description and database sensitivity. J. environ. Qual. 22:458-466.
22 Renard, K.G. and J.R. Freidmund. 1994. Using monthly precipitation data to estimate the R-factor in the Revised USLE. Journal of Hydrology. 157:287-306.   DOI
23 Rose, C.W. 1960. Soil detachment caused by rainfall. Soil Science. 89:28-35.   DOI
24 Wischmeier, W.H. and D.D. Smith. 1958. Rainfall energy and its relationship to oil loss. Trans. AGU. 39:285-291.   DOI
25 van Dijka, A.I.J.M., L.A. Bruijnzeela, and C.J. Rosewellb. 2002. Rainfall intensity-kinetic energy relationships: a critical literature appraisal. Journal of Hydrology. 261:1-23.   DOI
26 Williams, R.G. and J.M. Sheridan. 1991. Effect of rainfall measurement time and depth resolution on EI calculation. Trans. ASAE. 34:402-406.   DOI
27 Wischmeier, W.H. 1959. A rainfall erosion index for a Universal Soil-Loss Equation. Soil Sci. Soc. Am. J. 23:246-249.   DOI
28 Wischmeier, W.H. and D.D. Smith. 1965. Predicting rainfallerosion losses from cropland east of the Rocky Mountains - Guide for selection of practices for soil and water conservation. U.S. Dept. Of Agric., Agr. Handbook No. 282.
29 Wischmeier, W.H. and D.D. Smith. 1978. Predicting rainfallerosion losses - A guide to conservation farming. U.S. Dept. of Agric., Agr. Handbook No. 537.
30 Wischrneier, W.H. 1976. Use and misuse of the universal soil loss equation. J. Soil Water Cons. 31:5-9.
31 Yu, B. and C.J. Rosewell. 1998. An assessment of a daily rainfall erosivity model for New South Wales. Australian Journal of Soil Research. 34:139-152
32 Zhang, P.Z., Cheng, H., Edwards, R.L., Chen, F.H., Wang, Y.J., Yang, X.L., Liu, J., Tan, M., Wang, .XF., Liu, J.H., An, C.L., Dai, Z.B., Zhou, J., Zhang, D.Z., Jia, J.H., Jin, L.Y., and K.R. Johnson. 2008. A test of climate, sun, and culture relationships from an 1810-year Chinese cave record. Science. 322:940-942.   DOI
33 http://www.iwr.msu.edu/rusle
34 http://www.epa.gov/owow_keep /NPS/index.html
35 http://www.iwr.msu.edu/rusle/contact.htm