Applying bivariate normal distribution to flood frequency analysis

被引:98
作者
Yue, S [1 ]
机构
[1] Univ Quebec, Stat Hydrol Chair, INRS Eau, St Foy, PQ G1V 4C7, Canada
关键词
flood frequency analysis; bivariate normal distribution; Box-Cox transformation;
D O I
10.1080/02508069908692168
中图分类号
TU [建筑科学];
学科分类号
0813 [建筑学];
摘要
This article provides a procedure for using the bivariate normal distribution to describe the joint distributions of correlated flood peaks and volumes as well as correlated flood volumes and durations, The Bore-Cox transformation (power-transformation) method is used to normalize original marginal distributions of flood peaks, volumes, and durations regardless of the original forms of these distributions, The power-transformation parameter is estimated using the maximum likelihood method The joint cumulative distribution function, the conditional cumulative distribution function, and the associated return periods can be readily obtained based on the bivariate normal distribution. The method is tested and validated using observed flood data from the Batiscan River basin in the province of Quebec, Canada. The resulting theoretical distributions shore a good fit to observed ones.
引用
收藏
页码:248 / 254
页数:7
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