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Multivariate Flood Frequency Analysis Using Bivariate Copula Functions

delete2022-01-19
delete23
PRE
AI
H
Homa Razmkhah *
A
Alireza Fararouie
A
Amin Rostami Ravari
DOI:10.1007/s11269-021-03055-3delete
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摘要

摘要

En 中文
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.
Keyword:
Flood characteristic
Bivariate frequency analysis
Copula

期刊

Water Resources Management 封面图
Water Resources Management
IF:
4.7
论文数:
8.1K
被引数:
1.6W

机构

I
Islamic Azad University
学者数:
4.0W
论文数: 3.3W
被引数: 9.8K
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