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Analysis of climatic variability and snow cover in the Kaligandaki River Basin, Himalaya, Nepal

机译:尼泊尔喜马拉雅山加里甘达基河流域的气候变化和积雪分析

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摘要

Various remote sensing products and observed data sets were used to determine spatial and temporal trends in climatic variables and their relationship with snow cover area in the higher Himalayas, Nepal. The remote sensing techniques can detect spatial as well as temporal patterns in temperature and snow cover across the inaccessible terrain. Non-parametric methods (i.e. the Mann-Kendall method and Sen's slope) were used to identify trends in climatic variables. Increasing trends in temperature, approximately by 0.03 to 0.08 ℃ year~(-1) based on the station data in different season, and mixed trends in seasonal precipitation were found for the studied basin. The accuracy of MOD10A1 snow cover and fractional snow cover in the Kaligandaki Basin was assessed with respect to the Advanced Spaceborne Thermal Emission and Reflection Radiometer-based snow cover area. With increasing trends in winter and spring temperature and decreasing trends in precipitation, a significant negative trend in snow cover area during these seasons was also identified. Results indicate the possible impact of global warming on precipitation and snow cover area in the higher mountainous area. Similar investigations in other regions of Himalayas are warranted to further strengthen the understanding of impact of climate change on hydrology and water resources and extreme hy-drologic events.
机译:各种遥感产品和观测数据集被用于确定气候变量的时空趋势及其与尼泊尔喜马拉雅山较高积雪面积的关系。遥感技术可以检测无法到达的地形上温度和积雪的时空分布。非参数方法(即Mann-Kendall方法和Sen的斜率)用于识别气候变量的趋势。根据不同季节的台站资料,温度升高趋势大约为0.03至0.08℃年〜(-1),并且该研究流域发现了季节性降水的混合趋势。根据先进的星载热发射和反射辐射计的积雪面积评估了Kaligandaki盆地MOD10A1积雪和部分积雪的精度。随着冬季和春季温度的上升趋势和降水的下降趋势,在这些季节中,积雪面积也出现了明显的负趋势。结果表明,全球变暖可能对较高山区的降水和积雪面积产生影响。有必要在喜马拉雅山其他地区进行类似的调查,以进一步加深对气候变化对水文,水资源和极端水文事件影响的了解。

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  • 来源
    《Theoretical and applied climatology》 |2014年第4期|681-694|共14页
  • 作者单位

    Remote Sensing and Geographical Information Systems, Asian Institute of Technology, Khlong Luang, Pathumthani, Thailand;

    Water Engineering and Management, Asian Institute of Technology, Khlong Luang, Pathumthani, Thailand;

    Remote Sensing and Geographical Information Systems, Asian Institute of Technology, Khlong Luang, Pathumthani, Thailand;

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