Nonstationary Regional Flood Frequency Analysis Based on the Bayesian Method-Reference-Cited by-同舟云学术

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Nonstationary Regional Flood Frequency Analysis Based on the Bayesian Method

Published:2022-12-07 Issue:2 Volume:37 Page:659-681
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Guo Shuhui,Xiong Lihua,Chen Jie,Guo Shenglian,Xia Jun,Zeng Ling,Xu Chong-Yu

Funder

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

China Three Gorges Corporation

Research Council of Norway

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-022-03394-9.pdf

Reference49 articles.

1. Allahbakhshian-Farsani P, Vafakhah M, Khosravi-Farsani H, Hertig E (2020) Regional flood frequency analysis through some machine learning models in semi-arid regions. Water Resour Manag 34(9):2887–2909. https://doi.org/10.1007/s11269-020-02589-2

2. Coles S (2001) An introduction to statistical modeling of extreme values. Springer, London, England. https://doi.org/10.1007/978-1-4471-3675-0

3. Du T, Xiong L, Xu CY, Gippel CJ, Guo S, Liu P (2015) Return period and risk analysis of nonstationary low-flow series under climate change. J Hydrol 527:234–250. https://doi.org/10.1016/j.jhydrol.2015.04.041

4. Dixit S, JayakumarnAff KV (2022) A non-stationary and probabilistic approach for drought characterization using trivariate and pairwise copula construction (PCC) model. Water Resour Manag 36(4):1217–1236. https://doi.org/10.1007/s11269-022-03069-5

5. El Adlouni S, Ouarda TB, Zhang X, Roy R, Bobée B (2007) Generalized maximum likelihood estimators for the nonstationary generalized extreme value model. Water Resour Res 43:W03410. https://doi.org/10.1029/2005WR004545

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