American Society of Civil Engineers


Spatial Analysis of Rainfall Erosivity Trends in South Korea


by Joon-Hak Lee, (Ph. D. Candidates., School of Civil and Environmental Engineering, Yonsei University, 134 Shinchon-Dong, Seoul, 120-749, Korea. E-mail: cetera@yonsei.ac.kr), Younghun Jung, (Ph. D. Candidates., School of Civil and Environmental Engineering, Yonsei University, 134 Shinchon-Dong, Seoul, 120-749, Korea. E-mail: yhjung2000@yonsei.ac.kr), and Jun-Haeng Heo, (Professor, Hydro-engineering Laboratory, School of Civil and Environmental Engineering, Yonsei University, 134 Shinchon-Dong, Seoul, 120-749, Korea. E-mail: jhheo@yonsei.ac.kr)
Section: Watersheds, pp. 4469-4476, (doi:  http://dx.doi.org/10.1061/41173(414)463)

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Document type: Conference Proceeding Paper
Part of: World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability
Abstract: Rainfall erosive factor is one of the most important factors in RUSLE(Revised Universal Soil Loss Equation), the empirical method to estimate the amount of annual mean soil loss in certain areas. The purpose of this study is focused on the analysis of the spatial and temporal variability of rainfall erosivity in South Korea. The Mann-Kendall test were conducted to analyze linear and temporal trends of 33 weather stations for 1973∼1999. 5 stations(middle-western region) out of 33 stations had a significant positive trend, but 4 stations(east-coast, south-coast region) had a significant negative trend with a 90% confidence limit respectively. And rest of the regions had no significant trend. The results of Moran’s I and Geary’s C showed rainfall erosivity in South Korea had statistically weak positive spatial autocorrelations (clustered pattern) in the 1980s ∼ 1990s and annual extreme values for 31 stations with a 90% confidence limit. Coefficient variance of rainfall erosivity in the 1990s also increased about 10% more than in the 1970s. This trend could be correlated with the increase of the local heavy storms.


ASCE Subject Headings:
Spatial analysis
Rainfall
South Korea
Soil erosion