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.

中文翻译：

---

阿尔及利亚Oued El Gourzi流域年最大降水的统计模型

本研究旨在基于极值理论为阿尔及利亚Oued El Gourzi流域建立年度最大降水量模型。使用广义极值（GEV）分布来确定分布在该分水岭上的五个站点的极值概率分布及其对时间的依赖性。非平稳模型用于表示假设形状参数不变且线性函数作为位置和比例参数的GEV参数。使用Akaike信息准则和贝叶斯信息准则选择最佳模型。已经为研究区域提出了不同返回期的平稳和非平稳返回水平。