Multivariate Flood Frequency Analysis Using Bivariate Copula Functions

Homa Razmkhah (), Alireza Fararouie and Amin Rostami Ravari
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Homa Razmkhah: Islamic Azad University
Alireza Fararouie: Islamic Azad University
Amin Rostami Ravari: Islamic Azad University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 2, No 18, 729-743

Abstract: Abstract 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.

Keywords: Flood characteristic; Bivariate frequency analysis; Copula (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-021-03055-3

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