This article examines the spatial variability of extreme precipitation trends in northwestern Algeria (Macta) and compares the results obtained from the four recent and old non-parametric methods. A dataset of annual maximum precipitation consisting of 41 observation years (1970–2010) and 41 rain gauges was used. The results of the four old and new methods used to detect trends, Mann–Kendall (MK), Bravais–Pearson (BP), Spearman (SR) and innovative trend analysis (ITA), show good agreement. They revealed that a decrease in the trend of annual maximum precipitation was detected during the first period (1970–1992) with −44% (MK), −61% (BP), −68% (SR) and −76% (ITA). On the other hand, in the second period (1993–2010), a total shift occurred in which a significant increase in annual maximum precipitation trends was observed with +63% (BP), +34% (MK and SR) and +93% (ITA). These results show the ability of ITA to detect partial trends that the other three tests do not allow. Our results allow decision-makers to properly design adaptation strategies in the face of the intensification of these extreme events.

中文翻译：

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阿尔及利亚西北部年最大降雨量趋势时空分析：新旧非参数方法的比较分析

本文研究了阿尔及利亚西北部 (Macta) 极端降水趋势的空间变异性，并比较了四种新旧非参数方法获得的结果。使用由 41 个观测年（1970-2010）和 41 个雨量计组成的年最大降水量数据集。用于检测趋势的四种新旧方法曼恩-肯德尔（MK）、布拉维-皮尔逊（BP）、斯皮尔曼（SR）和创新趋势分析（ITA）的结果显示出良好的一致性。他们发现，在第一阶段（1970-1992），年最大降水量呈下降趋势，分别为-44%（MK）、-61%（BP）、-68%（SR）和-76%（ITA）。 ）。另一方面，在第二个时期（1993-2010），发生了总体转变，其中年最大降水量趋势显着增加，分别为+63%（BP）、+34%（MK和SR）和+93 ％（意大利）。这些结果表明 ITA 能够检测其他三种测试不允许的部分趋势。我们的研究结果使决策者能够在面对这些极端事件的加剧时正确设计适应策略。