Spatial analysis of rainfall erosivity trends in South Korea

Joon Hak Lee, Younghun Jung, Jun-Haeng Heo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationWorld Environmental and Water Resources Congress 2011
Subtitle of host publicationBearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress
Pages4469-4476
Number of pages8
DOIs
Publication statusPublished - 2011 Jul 21
EventWorld Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Palm Springs, CA, United States
Duration: 2011 May 222011 May 26

Publication series

NameWorld Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress

Other

OtherWorld Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability
CountryUnited States
CityPalm Springs, CA
Period11/5/2211/5/26

Fingerprint

erosivity
spatial analysis
rainfall
Revised Universal Soil Loss Equation
coast
weather station
autocorrelation
trend
station
soil

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)

Cite this

Lee, J. H., Jung, Y., & Heo, J-H. (2011). Spatial analysis of rainfall erosivity trends in South Korea. In World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress (pp. 4469-4476). (World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress). https://doi.org/10.1061/41173(414)463
Lee, Joon Hak ; Jung, Younghun ; Heo, Jun-Haeng. / Spatial analysis of rainfall erosivity trends in South Korea. World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress. 2011. pp. 4469-4476 (World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress).
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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.",
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Lee, JH, Jung, Y & Heo, J-H 2011, Spatial analysis of rainfall erosivity trends in South Korea. in World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress. World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress, pp. 4469-4476, World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability, Palm Springs, CA, United States, 11/5/22. https://doi.org/10.1061/41173(414)463

Spatial analysis of rainfall erosivity trends in South Korea. / Lee, Joon Hak; Jung, Younghun; Heo, Jun-Haeng.

World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress. 2011. p. 4469-4476 (World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lee JH, Jung Y, Heo J-H. Spatial analysis of rainfall erosivity trends in South Korea. In World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress. 2011. p. 4469-4476. (World Environmental and Water Resources Congress 2011: Bearing Knowledge for Sustainability - Proceedings of the 2011 World Environmental and Water Resources Congress). https://doi.org/10.1061/41173(414)463