Applications of Copula in hydrological extreme analysis

Yue Ping Xu, Jia Li, Fei Feng Cao, Qi Hua Ran

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


The dependences between multiple variables were analyzed aiming at some abnormal crossing phenomena of rainfall depths for different durations in hydrological extreme analysis. The relationship between multivariate joint density distributions and their marginal distributions was described through Copula. Gumbel-Hougaard Copula was used to model the dependences of rainfall depths for different durations. Results showed that rainfall depths obtained by Gumbel-Hougaard Copula were smaller than those obtained by conventional frequency analysis. Gumbel-Hougaard Copula can well describe the multivariate relationship and improve the abnormal crossing phenomena, so it can give more reasonable results and be further applied to hydrological extreme analysis.

Original languageEnglish
Pages (from-to)1119-1122
Number of pages4
JournalZhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)
Issue number7
StatePublished - Jul 2008


  • Copula
  • Hydrological frequency analysis
  • Maximum likelihood estimation
  • Rainfall depth


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