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Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin

机译:印度河上游流域年,季节和极值的降水变化时空分析

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摘要

This paper investigates the annual and seasonal precipitation variability at 20 stations over upper Indus River basin (UIRB) by using an innovative trend analysis (ITA) method, Mann-Kendall (MK) and Sen's slope estimator tests. Moreover, the annual precipitation time series is investigated for five precipitation intensities i.e. light, low, moderate, high and heavy; and on a seasonal scale for extreme values i.e. light and heavy precipitation intensities. Annual precipitation showed an increasing trend at four stations in the northeast region and a decreasing trend at two stations in the southeast region of UIRB. On a seasonal scale, the results showed that Garidopatta, Peshawar, Astore and Gupis stations are more sensitive to seasonal precipitation variabilities. Changes in heavy precipitation (> 90th percentile) are found more severe in winter and summer seasons in the northern regions suggesting a probable flooding aggravation. However, a reduction in flooding event observed during the spring season in the southern regions of the UIRB indicating a shift in the precipitation regime from south to north. The results of light precipitation (< 10th percentile) intensity showed that winter and spring seasons are more vulnerable to the occurrence of prolonged drought events. Moreover, ITA method has the advantage of detecting the sub-trends in the precipitation series because of its ability to present the results in graphical format. The results of this study could help to understand seasonal and annual precipitation variability over UIRB and will have imperative insinuations for further studies.
机译:本文采用创新趋势分析(ITA)方法,Mann-Kendall(MK)和Sen斜率估计检验研究了印度河上游(UIRB)上20个站的年降水量和季节降水量变化。此外,研究了五种降水强度的年降水时间序列,即轻,低,中,高和重;并在季节性范围内获得极高的值,即轻度和重度降水强度。 UIRB东北地区四个站点的年降水量呈上升趋势,而东南地区两个站点的年降水量呈下降趋势。在季节尺度上,结果表明加里多帕塔,白沙瓦,阿斯托和古皮斯站对季节降水变化更为敏感。在北部地区的冬季和夏季,强降水(> 90%)的变化更为严重,这表明洪水可能加剧。但是,UIRB南部地区在春季发现的洪水事件有所减少,这表明降水状态从南向北转移。轻度降水(<10个百分点)强度的结果表明,冬季和春季更容易受到长期干旱事件的影响。此外,由于ITA方法能够以图形格式显示结果,因此具有检测降水序列中子趋势的优势。这项研究的结果可能有助于了解UIRB上的季节性和年度降水变化,并将有必要进行进一步研究。

著录项

  • 来源
    《Atmospheric research》 |2018年第11期|346-360|共15页
  • 作者单位

    Centre of Excellence in Water Resources Engineering, University of Engineering and Technology;

    Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, University of Chinese Academy of Sciences;

    College of Hydraulic and Environmental Engineering, China Three Gorges University;

    State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chineese Academy of Sciences;

    Research center of Fluid Machinery Engineering & Technology, Jiangsu University,Department of Irrigation and Drainage, University of Agriculture;

    School of Environmental Science and Engineering, South University of Science and Technology of China;

    Department of Agricultural Engineering, Bahauddin Zakariya University;

    Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Trend analysis; ITA; Mann-Kendall; Precipitation; Indus River basin;

    机译:趋势分析ITA Mann-Kendall降水印度河流域;

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