Bivariate frequency analysis: discussion of some useful concepts in hydrological application

被引:144
|
作者
Yue, S
Rasmussen, P
机构
[1] Environm Canada, Meteorol Serv Canada Ontario Reg, Burlington, ON L7R 4A6, Canada
[2] Univ Manitoba, Dept Civil & Geol Engn, Winnipeg, MB R3T 5V6, Canada
关键词
marginal distribution; conditional probability distribution; conditional return period; joint probability distribution; joint return period; statistical hydrology;
D O I
10.1002/hyp.1185
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Basic concepts such as conditional probability distributions, conditional return periods, and joint return periods are important to understand and to interpret multivariate hydrological events such as floods and storms. However, these concepts are not well documented in the open literature. This paper assembles and clarifies these concepts, and illustrates their practical utility. Relationships between joint return periods and univariate return periods are also derived. These concepts and relationships are demonstrated by applying a bivariate extreme value distribution to represent the joint distribution of flood peak and volume from an actual basin. Copyright (C) 2002 John Wiley Sons, Ltd.
引用
收藏
页码:2881 / 2898
页数:18
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