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.
|Number of pages||4|
|Journal||Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)|
|State||Published - Jul 2008|
- Hydrological frequency analysis
- Maximum likelihood estimation
- Rainfall depth