Multivariate Flood Frequency Analysis Using Bivariate Copula Functions

被引：23

作者：

Razmkhah, Homa ^{[1
]}

Fararouie, Alireza ^{[1
]}

Ravari, Amin Rostami ^{[1
]}

机构：

[1] Islamic Azad Univ, Dept Water Engn, Marvdasht Branch, Marvdasht, Iran

来源：

WATER RESOURCES MANAGEMENT | 2022年 / 36卷 / 02期

关键词：

Flood characteristic; Bivariate frequency analysis; Copula; RAINFALL-RUNOFF MODEL; UNCERTAINTY PROPAGATION; DERIVATION; HYDROLOGY; DESIGN;

D O I：

10.1007/s11269-021-03055-3

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Multivariate analysis of flood frequency was used extensively in water resources research. Often the only flood peak or volume is analyzed with statistical distributions, but for a perfect and exact result, the four main characteristics of a flood event, as well as peak, volume, duration, and time-to-peak, are needed. For this reason, multivariate statistical approaches like copula functions developed. This research aims to define and use the bivariate copula (2-copula) probability distribution functions (PDF) for flood characteristics multivariate analysis. When the joint distribution of characteristics such as volume and peak is known, it is possible to define the probability of simultaneous occurrence of design volume and peak flow values.

引用

页码：729 / 743

页数：15