Statistical modeling of annual maximum precipitation in Oued El Gourzi Watershed, Algeria
| Autor: | Hadda Dridi, Mahdi Kalla, Nassim Bella |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:TD201-500
Watershed 010504 meteorology & atmospheric sciences Statistical model Annual maximum precipitation GEV distribution 01 natural sciences Shape parameter Oued El Gourzi Watershed 010104 statistics & probability lcsh:Water supply for domestic and industrial purposes Bayesian information criterion Statistics Generalized extreme value distribution Stationary and non-stationary models Environmental science Probability distribution 0101 mathematics Akaike information criterion Extreme value theory 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Applied Water Science, Vol 10, Iss 4, Pp 1-8 (2020) |
| ISSN: | 2190-5495 2190-5487 |
| DOI: | 10.1007/s13201-020-1175-6 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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