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首页> 外文期刊>Arabian journal of geosciences >Precipitation variability and its trend detection for monitoring of drought hazard in northern mountainous region of Pakistan
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Precipitation variability and its trend detection for monitoring of drought hazard in northern mountainous region of Pakistan

机译:巴基斯坦北部山区干旱危害监测的降水变量及其趋势检测

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摘要

The Standardized Precipitation Index (SPI) is a powerful tool, requiring only precipitation data for calculating the intensity, duration, magnitude, severity and frequency of drought. Moreover, it provides helpful coverage of drought impacts on multi time scales. In this study, the SPI technique was applied to the dataset of 30 years (1986-2015) to detect drought condition in Northern Pakistan, which is a frequent drought-hit area. The coefficient of variability (CV) was used to analyze precipitation trend, while linear regression model was adopted to detect trend. The detected precipitation variability was spatially interpolated by applying the Inverse Distance Weighted (IDW) technique. It is evident from the analysis that there is great variability in precipitation pattern and trend in the study area. During the winter season, a positive trend in the precipitation variability was detected in the Himalaya and Karakorum region. In the Hindukush region, only Pattan weather station has observed a positive variability trend. In contrast to winter variability, pre-monsoon season has observed an increased variability in the Hindukush region, while the Karakorum and Himalayas regions observed a negative trend. The monsoon season has observed a decreased variation in precipitation throughout the study area except for Pattan. In post-monsoon, Skardu weather station of Himalayas, Gupis and Bunji of Karakorum region and Pattan of Hindukush region have witnessed increased precipitation variability. The meteorological stations of Karakoram and Himalaya have noticed a negative trend of precipitation variability, while in the Hindukush region, all the meteorological stations have witnessed a positive trend of variability except Saidu Sharif and Dir stations. The results of SPI also indicated a drought condition in the study area. Similarly, the SPI results of all return periods have shown a significant drought condition in the Himalayas followed by-in terms of frequency and magnitude-Karakoram and Hindukush, respectively. Based on the above findings, it is recommended that the agriculture experts should work on drought-resilient crops in order to cope up with the harsh prevalent climatic condition in Northern Pakistan.
机译:标准化降水指数(SPI)是一种强大的工具,只需要降水数据,用于计算干旱的强度,持续时间,幅度,严重程度和频率。此外,它提供了有用的覆盖对多时间尺度的干旱影响。在这项研究中,SPI技术应用于30年(1986-2015)的数据集,以检测巴基斯坦北部的干旱状况,这是一种常旅干袭击地区。可变性系数(CV)用于分析沉淀趋势,而采用线性回归模型来检测趋势。通过施加逆距离加权(IDW)技术,检测到的沉淀变异性在空间内插。从分析中显而易见的是,研究区域的降水模式和趋势存在巨大变化。在冬季,在喜马拉雅省和卡拉科鲁地区检测到降水变异的积极趋势。在印度教区,只有芭堤斯气象站观察到积极的变化趋势。与冬季变异性相反,季风季节已经观察到了内毛柱区域的变化增加,而卡拉科鲁姆和喜马拉雅山区则观察到负趋势。除了芭堤纳,季风季节已经观察到整个研究区域的降水变化降低。在季风季后赛中,喜马拉雅的Skardu气象站,Gupis和Karakorum地区的Bunji和Hindukush地区的芭堤雅有目睹了降水变异性。卡拉科姆和喜马拉雅的气象站已经注意到降水变异性的负面趋势,而在汉富岛地区,所有气象站都目睹了除了Sharif和Dir站之外的变异性的积极趋势。 SPI的结果也表明了研究区的干旱状况。同样,所有返回时期的SPI结果都在喜马拉雅山脉中显示出显着的干旱状况,然后分别在频率和幅度 - 喀喇昆仑和后毛柱方面。根据上述调查结果,建议农业专家应在干旱弹性作物上工作,以应对巴基斯坦北部的恶劣普遍存在的气候条件。

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