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Akademický článek

Climate-informed clustering based nonstationary regional extreme flood events spatio-temporal evolution using hierarchical Bayesian modeling

Autor: Hang Zeng, Yang Zhou, Pei Liu, Xin Li, Jiaqi Huang, Hui Zhou, Weihou Yu

Publikováno v: Journal of Hydrology: Regional Studies, Vol 56, Iss , Pp 102066- (2024)

Study region: Xiangjiang River basin, is at the middle and lower Yangtze River. Study focus: Increasing evidence shows that large-scale climate indices are being linked to the spatio-temporal evolution of extreme flood events in many regions. It is w

Externí odkaz: https://doaj.org/article/2436e9db15634d6bb62068caff25b3a4

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Nonstationary Bayesian Modeling of Extreme Flood Risk and Return Period Affected by Climate Variables for Xiangjiang River Basin, in South-Central China

Autor: Hang Zeng, Jiaqi Huang, Zhengzui Li, Weihou Yu, Hui Zhou

Publikováno v: Water, Vol 14, Iss 66, p 66 (2022)
Water; Volume 14; Issue 1; Pages: 66

The accurate design flood of hydraulic engineering is an important precondition to ensure the safety of residents, and the high precision estimation of flood frequency is a vital perquisite. The Xiangjiang River basin, which is the largest river in H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d394bc894a9ac2783e4ce6155ecbfa9
https://www.mdpi.com/2073-4441/14/1/66

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Bivariate Nonstationary Extreme Flood Risk Estimation Using Mixture Distribution and Copula Function for the Longmen Reservoir, North China

Autor: Quan Li, Hang Zeng, Pei Liu, Zhengzui Li, Weihou Yu, Hui Zhou

Publikováno v: Water; Volume 14; Issue 4; Pages: 604

Recently, the homogenous flood generating mechanism assumption has become questionable due to changes in the underlying surface. In addition, flood is a multifaced natural phenomenon and should be characterized by both peak discharge and flood volume

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d3888aae76b5d17a597bd9bd664601f
https://doi.org/10.3390/w14040604

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