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Precipitation Trends over Time Using Mann-Kendall and Spearman’s rho Tests in Swat River Basin, Pakistan

机译:使用曼恩·肯德尔(Mann-Kendall)和斯皮尔曼(Spearman)的rho测试,随时间推移的降水趋势在巴基斯坦斯瓦特河流域

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Accurately predicting precipitation trends is vital in the economic development of a country. This research investigated precipitation variability across 15 stations in the Swat River basin, Pakistan, over a 51-year study period (1961–2011). Nonparametric Mann-Kendall (MK) and Spearman’s rho (SR) statistical tests were used to detect trends in monthly, seasonal, and annual precipitation, and the trend-free prewhitening approach was applied to eliminate serial correlation in the precipitation time series. The results highlighted a mix of positive (increasing) and negative (decreasing) trends in monthly, seasonal, and annual precipitation. One station in particular, the Saidu Sharif station, showed the maximum number of significant monthly precipitation events, followed by Abazai, Khairabad, and Malakand. On the seasonal time scale, precipitation trends changed from the summer to the autumn season. The Saidu Sharif station revealed the highest positive trend (7.48 mm/year) in annual precipitation. In the entire Swat River basin, statistically insignificant trends were found in the subbasins for the annual precipitation series; however, the Lower Swat subbasin showed the maximum quantitative increase in the precipitation at a rate of 2.18 mm/year. The performance of the MK and SR tests was consistent at the verified significance level.
机译:准确预测降水趋势对一个国家的经济发展至关重要。这项研究调查了51年的研究期(1961-2011年),巴基斯坦斯瓦特河流域15个站点的降水变化。使用非参数Mann-Kendall(MK)和Spearman的rho(SR)统计检验来检测月度,季节和年降水量的趋势,并采用无趋势的预增白方法来消除降水时间序列中的序列相关性。结果突出显示了月度,季节和年度降水量的正(增加)和负(减少)趋势的混合。其中一个站,特别是Saidu Sharif站,显示了最大的月降水事件最多,其次是Abazai,Khiirabad和Malakand。在季节性时间尺度上,降水趋势从夏季到秋季变化。 Saidu Sharif站显示出年降水量的最高正趋势(7.48 mm /年)。在整个斯瓦特河流域,子盆地的年降水量系列在统计上没有明显的趋势。然而,下斯瓦特盆地的降水量最大的定量增加是2.18 mm /年。 MK和SR测试的性能在经过验证的显着性水平上是一致的。

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