Rainfall frequency analysis using a mixed GEV distribution: A case study for annual maximum rainfalls in South Korea

Philyong Yoon, Tae Woong Kim, Chulsang Yoo

Research output: Contribution to journalArticle

18 Citations (Scopus)

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 languageEnglish
Pages (from-to)1143-1153
Number of pages11
JournalStochastic Environmental Research and Risk Assessment
Volume27
Issue number5
DOIs
Publication statusPublished - 2013 Jul 1

Keywords

  • Extreme rainfall
  • Frequency analysis
  • Mixed distribution
  • Rainfall quantile

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Safety, Risk, Reliability and Quality
  • Water Science and Technology
  • Environmental Science(all)

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