Analysis of Risk Probability for Design Rainstorm Combinations of Different Durations
Zengmei Liu
Abstract
Zengmei Liu
Abstract
Based on the Copula theory and method,the joint probability distribution models between annual maximum daily rainstorm and three-day or seven-day rainstorm amounts were build with the maximum daily rainstorm as a reference using the daily rainfall data in Guangzhou City from 1951 to 2010 as a case study.Firstly,the Gumbel-Hougaard Copula function selected by the goodness-of-fit test was used to build the joint distributions which are the marginal distributions of generalized extreme value and Pearson type III;Then,the co-occurrence return periods and the design rainstorm values were calculated;Finally,the risk probabilities of exceed successive three-day or seven-day rainstorm amounts were calculated based on conditional distribution.
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Based on the Copula theory and method,the joint probability distribution models between annual maximum daily rainstorm and three-day or seven-day rainstorm amounts were build with the maximum daily rainstorm as a reference using the daily rainfall data in Guangzhou City from 1951 to 2010 as a case study.Firstly,the Gumbel-Hougaard Copula function selected by the goodness-of-fit test was used to build the joint distributions which are the marginal distributions of generalized extreme value and Pearson type III;Then,the co-occurrence return periods and the design rainstorm values were calculated;Finally,the risk probabilities of exceed successive three-day or seven-day rainstorm amounts were calculated based on conditional distribution.
Key concepts: Gumbel distribution, Copula (linguistics), Joint probability distribution, Statistics, Goodness of fit, Marginal distribution, Mathematics, Probability distribution