최근 강수 자료를 이용한 범용토양유실공식의 강우침식능인자 정의에 관한 연구
A Study to Determine the Rainfall Erosivity Factor of Universal Soil Loss Equation using Recent Rainfall Data
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초록
Universal Soil Loss Equation (USLE) has been widely used to estimate potential soil loss because USLE is a simple and reliable method. The rainfallerosivity factor (R factor) explains rainfall characteristics. R factors, cited in the Bulletin on the Survey of the Erosion of Topsoil of the Ministry ofEnvironment in the Republic of Korea, are too outdated to represent current rainfall patterns in the Republic of Korea. Rainfall datasets at one minuteintervals from 2013 to 2017 were collected from fifty rainfall gauge stations to update R factors considering current rainfall condition. The updatedR factors in this study were compared to the previous R factors which were calculated using the data from 1973 to 1996. The coefficient ofdetermination between the updated and the previous R factors shows 0.374, which means the correlation is not significant. Therefore, it was concludedthat the previous R factors might not explain current rainfall conditions. The other remarkable result was that regression equations using annual rainfalldata might be inappropriate to estimate reasonable R factors because the correlation between annual rainfall and the R factors was generally unsatisfy.
Abstract
Universal Soil Loss Equation (USLE) has been widely used to estimate potential soil loss because USLE is a simple and reliable method. The rainfallerosivity factor (R factor) explains rainfall characteristics. R factors, cited in the Bulletin on the Survey of the Erosion of Topsoil of the Ministry ofEnvironment in the Republic of Korea, are too outdated to represent current rainfall patterns in the Republic of Korea. Rainfall datasets at one minuteintervals from 2013 to 2017 were collected from fifty rainfall gauge stations to update R factors considering current rainfall condition. The updatedR factors in this study were compared to the previous R factors which were calculated using the data from 1973 to 1996. The coefficient ofdetermination between the updated and the previous R factors shows 0.374, which means the correlation is not significant. Therefore, it was concludedthat the previous R factors might not explain current rainfall conditions. The other remarkable result was that regression equations using annual rainfalldata might be inappropriate to estimate reasonable R factors because the correlation between annual rainfall and the R factors was generally unsatisfy.
참고문헌 (15)
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