Estimation of drought rainfall using L-moments

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

• Publisher: John Wiley and Sons
• Year: 2005
• Tongue: English
• Weight: 295 KB
• Volume: 54
• Category: Article
• ISSN: 1531-0353
• DOI: 10.1002/ird.178

✦ Synopsis

The objective of this study is to induce the design drought rainfall by the L-moment methodology using the data of minimum monthly rainfall for consecutive duration for 1, 2, 4, 6, 9 and 12 months for 57 rainfall stations in Korea.

To select appropriate distribution of the data for minimum monthly rainfall by rainfall station, the distribution of generalized extreme value (GEV), generalized logistic (GLO) as well as that of generalized Pareto (GPA) distributions are applied and the appropriateness of the applied GEV, GLO, and GPA distribution is judged by the L-moment ratio diagram and Kolmogorov-Smirnov (K-S) test. As for the minimum monthly rainfall measured by rainfall station and that simulated by Monte Carlo techniques, the parameters of the appropriately selected GEV and GPA distributions are calculated by the L-moment methodology and the design drought rainfall is induced. Through the comparative analysis of design drought rainfall induced by GEV and GPA distribution by rainfall station, the optimal design drought rainfall by rainfall station is provided.