Kumar Vinit, Rana Ajay Singh, Mehta Manish, Rawat Gautam
Wadia Institute of Himalayan Geology, Dehradun, 248001, India.
Department of Geology, University of Lucknow, Lucknow, 226007, India.
Environ Sci Pollut Res Int. 2024 Dec;31(58):66184-66202. doi: 10.1007/s11356-024-35679-4. Epub 2024 Dec 2.
Our understanding of identifying and monitoring surge-type glacier distribution patterns, fluctuations, periodicities, and occurrence mechanism under the changing climate is challenging and scarce due to small numbers, limitations on the spatiotemporal coverage of remote sensing observations, and insufficient field-based glaciological data from the High Mountain Asia. The surging glaciers have caused major hazards, and their movement can destroy peripheral and downstream areas like roads, connecting bridges, villages, and hydropower stations and trigger a glacial lake outburst flood or form a dammed (moraine or ice) lake in High Mountain Asia (HMA) in the recent past. Many glaciers have experienced a mass loss and retreat due to ongoing climate change in HMA in recent decades, whereas studies conducted in the Karakorum, Pamir, Tien Shan, and Kunlun Shan regions have reported the surging of the glaciers. Whereas, in the central Himalayan region, very limited studies have been able to identify and explain in detail the surging glaciers and their surge mechanism. In this study, we identified an unnamed glacier surge in the central Himalaya, triggered between 12 September and 14 October 2019 (on a monthly scale) using multi-source high-resolution remote sensing data (CARTOSAT-1 [2011 and 2012], LISS-IV-2A [2011, 2017, and 2020], Landsat-5 [TM], 7 [ETM +], 8 [OLI/TIRS], and Sentinel [2A and 2B]) in conjunction with shuttle radar topography mission [SRTM], Advanced Spaceborne Thermal Emission and Reflection Radiometer [ASTER], and High Mountain Asia digital elevation model (DEM) database. We used a series of algorithms package named MicMac ASTER (MMASTER) tool for generating DEMs from data of two telescopes for the estimation of the surface elevation change, and to calculate the surface velocity, we employed the "Co-registration of Optically Sensed Images and Correlation" (COSI-Corr), a Fourier-based, highly advanced matching program. Based on the observations of the glacier terminus fluctuation, surface velocity, and surface elevation change from 1993 to 2022, this study revealed that the unnamed glacier underwent a surge for the first time in the past three decades. The glacier's surface velocity increased from 7 ± 3 m year during quiescence (2001-2002) to 163 ± 1 m year during the surge (2019-2020) and then decreased to 17 ± 2 m year between 2021 and 2022. Between 12 September and 14 October 2019, there was a sudden and significant increase in surface velocity of 863 m within a month (i.e., 27 m/day compared to the month prior), indicating the initiation of the surge. Overall, the present study results suggest that the glacier's velocity varied considerably during the observed period, with periods of gradual increase, sudden increase, and subsequent decrease. Further, the changes in glacier surface suggest a total mean elevation change of 0.26 ± 0.2 m year between 2000 and 2020. In this study, we present novel observations of a glacier surge in the central Himalaya, compare its characteristics to surge-type glaciers reported elsewhere, and discuss the possible mechanisms controlling its behavior.
由于数量稀少、遥感观测的时空覆盖范围有限以及来自亚洲高山地区的实地冰川学数据不足,我们对在气候变化背景下识别和监测涌动型冰川的分布模式、波动、周期性和发生机制的理解面临挑战且相关研究匮乏。在亚洲高山地区,涌动冰川造成了重大危害,其移动会破坏周边和下游地区,如道路、桥梁、村庄和水电站,并引发冰川湖溃决洪水,或在近期形成堰塞湖(冰碛或冰湖)。近几十年来,由于亚洲高山地区持续的气候变化,许多冰川经历了质量损失和退缩,而在喀喇昆仑、帕米尔、天山和昆仑山地区进行的研究报告了冰川的涌动情况。然而,在喜马拉雅中部地区,能够详细识别和解释涌动冰川及其涌动机制的研究非常有限。在本研究中,我们利用多源高分辨率遥感数据(CARTOSAT - 1[2011年和2012年]、LISS - IV - 2A[2011年、2017年和2020年]、Landsat - 5[TM]、7[ETM +]、8[OLI/TIRS]以及哨兵[2A和2B]),结合航天飞机雷达地形测绘任务[SRTM]、先进星载热发射和反射辐射计[ASTER]以及亚洲高山数字高程模型(DEM)数据库,确定了2019年9月12日至10月14日(按月尺度)期间喜马拉雅中部一条未命名冰川的涌动。我们使用了一系列名为MicMac ASTER(MMASTER)工具的算法包,从两台望远镜的数据生成DEM,以估算地表高程变化,并采用基于傅里叶的高度先进匹配程序“光学遥感图像配准与相关性”(COSI - Corr)来计算地表速度。基于1993年至2022年期间对冰川末端波动、地表速度和地表高程变化的观测,本研究表明这条未命名冰川在过去三十年中首次发生了涌动。冰川的地表速度在静止期(2001 - 2002年)为7±3米/年,在涌动期(2019 - 2020年)增至163±1米/年,然后在2021年至2022年期间降至17±2米/年。在2019年9月12日至10月14日期间,地表速度在一个月内突然大幅增加了863米(即与前一个月相比为27米/天),表明涌动开始。总体而言,本研究结果表明,在观测期内冰川速度变化很大,有逐渐增加、突然增加和随后下降的阶段。此外,冰川表面变化表明2000年至2020年期间总平均高程变化为0.26±0.2米/年。在本研究中,我们展示了喜马拉雅中部冰川涌动的新观测结果,将其特征与其他地方报告的涌动型冰川进行了比较,并讨论了控制其行为的可能机制。