Andishe_ye Amari

Andishe_ye Amari

Trivariate Modeling of Drought Characteristics in Zahedan City using Vine Copula

Authors
Abstract
Drought is one of the most important concepts in hydrology, which has gained increased significance in recent years,
and the results of its modeling and analysis are crucial for risk assessment and management. This study examines drought at
the Zahedan station during the statistical period from 1951 to 2017 using the standardized precipitation index and explains
multivariate data modeling methods using Vine Copulas. Various models are compared using goodness-of-fit criteria, and
the best model is selected. Additionally, joint return periods are calculated and analyzed.
Keywords

Volume 28, Issue 2
April 2023
Pages 109-119

  • Receive Date 27 April 2025
  • First Publish Date 27 April 2025
  • Publish Date 20 February 2024