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http://dx.doi.org/10.5389/KSAE.2004.46.3.031

Frequency Analysis of Extreme Rainfall Using 3 Parameter Probability Distributions  

Kim, Byeong-Jun (태광공영)
Maeng, Sung-Jin (한국수자원공사 수자원연구원)
Ryoo, Kyong-Sik (충북대학교 농과대학)
Lee, Soon-Hyuk (충북대학교 농과대학)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.46, no.3, 2004 , pp. 31-42 More about this Journal
Abstract
This research seeks to derive the design rainfalls through the L-moment with the test of homogeneity, independence and outlier of data on annual maximum daily rainfall at 38 rainfall stations in Korea. To select the appropriate distribution of annual maximum daily rainfall data by the rainfall stations, Generalized Extreme Value (GEV), Generalized Logistic (GLO), Generalized Pareto (GPA), Generalized Normal (GNO) and Pearson Type 3 (PT3) probability distributions were applied and their aptness were judged using an L-moment ratio diagram and the Kolmogorov-Smirnov (K-S) test. Parameters of appropriate distributions were estimated from the observed and simulated annual maximum daily rainfall using Monte Carlo techniques. Design rainfalls were finally derived by GEV distribution, which was proved to be more appropriate than the other distributions.
Keywords
Homogeneity; Independence; Outlier; L-moment; Probability distribution; Monte Carlo simulation; Design rainfall;
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