Non-Stationary Bayesian Modeling of Annual Maximum Floods in a Changing Environment and Implications for Flood Management in the Kabul River Basin, Pakistan

Non-Stationary Bayesian Modeling of Annual Maximum Floods in a Changing Environment and Implications for Flood Management in the Kabul River Basin, Pakistan

Recent evidence of regional climate change associated with the intensification of human activities has led hydrologists to study a flood regime in a non-stationarity context. This study utilized a Bayesian framework with informed priors on shape parameter for a generalized extreme value (GEV) model...

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Bibliographic Details
Main Authors: Asif Mehmood, Shaofeng Jia, Rashid Mahmood, Jiabao Yan, Moien Ahsan
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Water
Subjects:
non-stationary
extreme value theory
uncertainty
flood regime
flood management
Kabul river basin
Pakistan
Online Access:https://www.mdpi.com/2073-4441/11/6/1246

Internet

https://www.mdpi.com/2073-4441/11/6/1246

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