A MCMC-based maximum entropy copula method for bivariate drought risk analysis of the Amu Darya River Basin

Author:

Yang X.,Li Y.P.,Liu Y.R.,Gao P.P.

Funder

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference39 articles.

1. Entropy-copula in hydrology and climatology;Aghakouchak;J. Hydrometeorol.,2014

2. Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting;Ali;Atmos. Res.,2018

3. A copula-based index for drought analysis in arid and semi-arid regions of Iran;Bazrafshan;Nat. Resour. Model.,2019

4. Drought length properties for periodic-stochastic hydrologic data;Cancelliere;Water Resour. Res.,2004

5. Copula-based drought risk assessment combined with an integrated index in the Wei River basin, China;Chang;J. Hydrol.,2016

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