Abstract
Extreme rainfalls in South Korea result mainly from convective storms and typhoon storms during the summer. A proper way for dealing with the extreme rainfalls in hydrologic design is to consider the statistical characteristics of the annual maximum rainfall from two different storms when determining design rainfalls. Therefore, this study introduced a mixed generalized extreme value (GEV) distribution to estimate the rainfall quantile for 57 gauge stations across South Korea and compared the rainfall quantiles with those from conventional rainfall frequency analysis using a single GEV distribution. Overall, these results show that the mixed GEV distribution allows probability behavior to be taken into account during rainfall frequency analysis through the process of parameter estimation. The resulting rainfall quantile estimates were found to be significantly smaller than those determined using a single GEV distribution. The difference of rainfall quantiles was found to be closely correlated with the occurrence probability of typhoon and the distribution parameters.
| Original language | English |
|---|---|
| Pages (from-to) | 1143-1153 |
| Number of pages | 11 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Volume | 27 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2013 Jul |
Bibliographical note
Funding Information:This work was supported by grants from the National Research Foundation (No. 2010-0015578), Ministry of Education, Science and Technology, and Natural Hazard Mitigation Research Group (NEMA-NH-2011-42), National Emergency Management Agency, South Korea. The authors also thank the anonymous reviewers for their constructive comments and corrections.
Keywords
- Extreme rainfall
- Frequency analysis
- Mixed distribution
- Rainfall quantile
ASJC Scopus subject areas
- Environmental Engineering
- Environmental Chemistry
- Water Science and Technology
- Safety, Risk, Reliability and Quality
- General Environmental Science