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Estimation of Design Flood by the Determination of Best Fitting Order of LH-Moments ( I )  

맹승진 (한국수자원공사 수자원연구소)
이순혁 (충북대학교 농과대학)
Publication Information
Magazine of the Korean Society of Agricultural Engineers / v.44, no.6, 2002 , pp. 49-60 More about this Journal
Abstract
This study was conducted to estimate the design flood by the determination of best fitting order of LH-moments of the annual maximum series at six and nine watersheds in Korea and Australia, respectively. Adequacy for flood flow data was confirmed by the tests of independence, homogeneity, and outliers. Gumbel (GUM), Generalized Extreme Value (GEV), Generalized Pareto (GPA), and Generalized Logistic (GLO) distributions were applied to get the best fitting frequency distribution for flood flow data. Theoretical bases of L, L1, L2, L3 and L4-moments were derived to estimate the parameters of 4 distributions. L, L1, L2, L3 and L4-moment ratio diagrams (LH-moments ratio diagram) were developed in this study. GEV distribution for the flood flow data of the applied watersheds was confirmed as the best one among others by the LH-moments ratio diagram and Kolmogorov-Smirnov test. Best fitting order of LH-moments will be derived by the confidence analysis of estimated design flood in the second report of this study.
Keywords
LH-moments; GEV; GUM; GPA; GLO distribution; LH-monents ratio diagram; Independence; Homogeneity; Outlier test;
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