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Spaceborne Satellite for Snow Cover and Hydrological Characteristic of the Gilgit River Basin Hindukush–Karakoram Mountains Pakistan

机译:巴基斯坦兴都库什–喀喇昆仑山吉尔吉特河流域积雪和水文特征的星载卫星

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摘要

The Indus River, which flows through China, India, and Pakistan, is mainly fed by melting snow and glaciers that are spread across the Hindukush–Karakoram–Himalaya Mountains. The downstream population of the Indus Plain heavily relies on this water resource for drinking, irrigation, and hydropower generation. Therefore, its river runoff variability must be properly monitored. Gilgit Basin, the northwestern part of the Upper Indus Basin, is selected for studying cryosphere dynamics and its implications on river runoff. In this study, 8-day snow products (MOD10A2) of moderate resolution imaging spectroradiometer, from 2001 to 2015 are selected to access the snow-covered area (SCA) in the catchment. A non-parametric Mann–Kendall test and Sen’s slope are calculated to assess whether a significant trend exists in the SCA time series data. Then, data from ground observatories for 1995–2013 are analyzed to demonstrate annual and seasonal signals in air temperature and precipitation. Results indicate that the annual and seasonal mean of SCA show a non-significant decreasing trend, but the autumn season shows a statistically significant decreasing SCA with a slope of −198.36 km2/year. The annual mean temperature and precipitation show an increasing trend with highest values of slope 0.05 °C/year and 14.98 mm/year, respectively. Furthermore, Pearson correlation coefficients are calculated for the hydro-meteorological data to demonstrate any possible relationship. The SCA is affirmed to have a highly negative correlation with mean temperature and runoff. Meanwhile, SCA has a very weak relation with precipitation data. The Pearson correlation coefficient between SCA and runoff is −0.82, which confirms that the Gilgit River runoff largely depends on the melting of snow cover rather than direct precipitation. The study indicates that the SCA slightly decreased for the study period, which depicts a possible impact of global warming on this mountainous region.
机译:流经中国,印度和巴基斯坦的印度河主要是由融化的雪和冰川所喂养,这些雪和冰川散布在Hindukush–Karakoram–Himalaya山脉。印度河平原的下游人口在很大程度上依赖于这种饮用水,灌溉和水力发电的水资源。因此,必须适当监测其河流径流的变化性。上印度河盆地西北部的吉尔吉特盆地被选用于研究冰冻圈动力学及其对河流径流的影响。在这项研究中,选择了2001年至2015年的中分辨率成像光谱仪的8天积雪(MOD10A2)进入流域的积雪区域(SCA)。计算非参数Mann-Kendall检验和Sen斜率,以评估SCA时间序列数据中是否存在显着趋势。然后,对1995-2013年地面观测站的数据进行分析,以证明气温和降水的年度和季节信号。结果表明,SCA的年平均值和季节平均值没有显着下降趋势,而秋季季节的SCA则具有统计学上的显着下降趋势,其斜率为-198.36 km 2 /年。年平均温度和降水量呈上升趋势,最高斜率分别为0.05°C /年和14.98 mm /年。此外,针对水文气象数据计算了皮尔逊相关系数,以证明任何可能的关系。 SCA被确定与平均温度和径流高度负相关。同时,SCA与降水数据的关系很弱。 SCA与径流之间的Pearson相关系数为-0.82,这证实了吉尔吉特河径流很大程度上取决于积雪的融化而不是直接降水。研究表明,研究期间的SCA略有下降,这说明全球变暖对该山区可能产生的影响。

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