Spatio-temporal Change in the Glaciers of Astore Basin (North-Western Himalaya), between 2016 and 2021 using Sentinel-2 Satellite Data

IF 1.2 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Journal of the Geological Society of India Pub Date : 2024-06-01 DOI:10.17491/jgsi/2024/173918
Rahman Gul, Saad Khan, S. Baig, Sidra Bibi
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Abstract

About 2400 kilometers long Himalayan region hosts thousands of glaciers which covers about 40,000 km2 as per last update in September 2021. Estimation of snout variation positioning, statistical analysis of climate trends, and the Equilibrium Line Altitude (ELA) of most of the glaciers is challenging due to the rough terrain, higher altitudes and scarcity of spatio-temporal field observations. Moreover, without the climatic data and separating contour between glacier’s accumulation and ablation zones, estimation of the net variation in glacier mass loss or gain over a fixed year, leads to ambiguous results. Therefore, a quarterly trend analysis was carried out on climate data (temperature and precipitation ) and river discharge to evaluate the climate pattern in the Astore Basin. Moreover, this study uses the accumulation area ratio, AAR (0.6 ±0.5) (used for high-altitude mountain glaciers), and accumulation area balance ratio, AABR (2.24 ±0.9) with an interval of 0.05 and 0.01 to estimate ELAs, respectively. The results show that the Bazhin glacier retreat (-2.1 km²) as compared to the Chhongpher (-1.1 km²) and Chongra (-1.2 km²) glaciers. A maximum retreat of the snout position of Bazhin glacier was 1595 m , 3260 m in Chhongpher glacier, and 960 m in Chongra glacier. An increase in the ratio of annual AAR from 0.4 to 0.8 results in reductions of the accumulation area of three major glaciers in the study area. We conclude that the largest glaciers (e.g. Bazhin, Chhongpher and Chongra) stretched between lower to higher altitudes are likely to be more vulnerable, due to the highest AAR and AABR values reported between 5000-5600 meters above sea level (masl). However, the ice-lost estimates vary greatly depending on their three-dimensional surfaces.
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利用哨兵-2 号卫星数据研究阿斯托尔盆地(喜马拉雅山西北部)冰川在 2016 年至 2021 年间的时空变化
喜马拉雅山区全长约 2400 公里,拥有数以千计的冰川,根据 2021 年 9 月的最后一次更新,冰川面积约为 4 万平方公里。由于地形崎岖、海拔较高和缺乏时空实地观测,估算冰川鼻端变化定位、气候趋势统计分析和大多数冰川的平衡线高度(ELA)具有挑战性。此外,如果没有气候数据以及冰川积聚区和消融区之间的分隔轮廓,估算冰川在固定年份的质量损耗或增加的净变化会导致模糊的结果。因此,对气候数据(气温和降水量)和河流排水量进行了季度趋势分析,以评估阿斯托里盆地的气候模式。此外,本研究还使用积聚面积比 AAR(0.6 ±0.5)(用于高海拔山地冰川)和积聚面积平衡比 AABR(2.24 ±0.9)(间隔为 0.05 和 0.01)分别估算 ELA。结果显示,与 Chhongpher(-1.1 平方公里)和 Chongra(-1.2 平方公里)冰川相比,Bazhin 冰川退缩了(-2.1 平方公里)。巴钦冰川的鼻端位置最大后退了 1595 米,Chhongpher 冰川后退了 3260 米,Chongra 冰川后退了 960 米。年平均径流量比率从 0.4 增加到 0.8 会导致研究区域内三大冰川的积聚面积减少。我们的结论是,从低海拔向高海拔延伸的最大冰川(如巴钦冰川、琼帕尔冰川和冲拉冰川)可能更容易受到影响,因为据报告,海拔 5000-5600 米之间的年平均径流量和年平均积雪量比值最高。然而,冰损失的估计值因其三维表面的不同而有很大差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of the Geological Society of India
Journal of the Geological Society of India 地学-地球科学综合
CiteScore
2.20
自引率
7.70%
发文量
233
审稿时长
6 months
期刊介绍: The Journal aims to promote the cause of advanced study and research in all branches of geology connected with India, and to disseminate the findings of geological research in India through the publication.
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