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Comparison and analysis of design floods by the change in the order of LH-moment methods

✍ Scribed by Soon H. Lee; Sung J. Maeng


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
228 KB
Volume
52
Category
Article
ISSN
1531-0353

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✦ Synopsis


Abstract

This research seeks to derive the design floods through the appropriate order of LH‐moments with the test of homogeneity, independence and outlier of data on annual maximum floods in six Korean watersheds. To select the appropriate probability distribution for annual maximum flood data according to watershed, we applied the generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA) distributions. We arranged L, L1, L2, L3 and L4‐moment method theories by the change in the order of LH‐moment (parameter estimation method) according to three probability distributions, and presented LH‐moment ratio diagrams, i.e. L, L1, L2, L3 and L4‐moment ratio diagrams. We judged the suitability of the applied GEV, GLO and GPA distributions through the LH‐moment ratio diagrams and the Kolmogorov–Smirnov (K–S) test. We derived the parameter and design flood of the appropriate distribution using L, L1, L2, L3 and L4‐moment methods, targeting the observed and the simulated annual maximum flood through Monte Carlo techniques. By comparing and analyzing design floods derived through LH‐moment methods and the appropriate distribution according to watershed, we presented the appropriate order of LH‐moments that can derive appropriate design floods. Copyright © 2003 John Wiley & Sons, Ltd.


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