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- W3011435578 abstract "Abstract This study aims to model annual maximum precipitation based on extreme value theory for the Oued El Gourzi Watershed, Algeria. A generalized extreme value (GEV) distribution was used to determine the probability distribution of extreme values and their dependency on time for the five stations distributed across the watershed. The non-stationary models are used to represent the GEV parameters assumed an invariant shape parameter and linear functions as location and scale parameters. The best model was selected using Akaike’s information criterion and Bayesian information criterion. Stationary and non-stationary return levels for different return periods have been proposed for the study area." @default.
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- W3011435578 date "2020-03-16" @default.
- W3011435578 modified "2023-10-02" @default.
- W3011435578 title "Statistical modeling of annual maximum precipitation in Oued El Gourzi Watershed, Algeria" @default.
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- W3011435578 doi "https://doi.org/10.1007/s13201-020-1175-6" @default.
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