利用多源卫星数据研究 1973 至 2023 年天山中部 Ak-Shyirak 山峰彼得罗夫湖的冰川质量变化和演变情况

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Yingzheng Wang , Donghai Zheng , Yushan Zhou , Yanyun Nian , Shanshan Ren , Weiwei Ren , Zhongzheng Zhu , Zhiguang Tang , Xin Li
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Specifically, firstly, we conducted mass balance assessments for the Ak-Shyirak massif for six sub-periods from 1973 to 2023 using KH-9 DEMs, SRTM DEM, and ASTER DEMs. The results indicate that glaciers were in a state of rapid melting for 1980–2000 and 2005–2012, with rates of −0.46 m w.e./a and − 0.37 m w.e./a; moderate melting during 1973–1980 and 2012–2018, with rates of −0.26 m w.e./a and − 0.28 m w.e./a, while slower melting during 2000–2005 and 2018–2023, with rates of −0.08 m w.e./a and − 0.18 m w.e./a. Subsequently, we conducted assessments of the area change of Petrov Lake for 1973–2023 using KH-9 and Landsat images. The results reveal a significant increase in the glacial lake area by 2.81 km<sup>2</sup> (150.25 %), corresponding to a rate of 0.054 km<sup>2</sup>/a over the entire study period. Furthermore, we conducted monitoring of Petrov Lake's water level from 2019 to 2023 by utilizing ICESat-2 laser altimetry and Sentinel-3 radar altimetry data. 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引用次数: 0

摘要

第三极地区的气候变暖加速了冰川和积雪的融化,导致冰川湖泊的数量和面积增加。然而,精确测量其水位变化是一项挑战,阻碍了精确的水量评估和冰川质量平衡贡献的评价。在这里,我们以天山中部的阿克-希拉克冰川和最大的彼得罗夫冰川湖为案例,对这些现象进行了研究。具体来说,首先,我们使用 KH-9 DEM、SRTM DEM 和 ASTER DEM 对 Ak-Shyirak 冰原 1973 年至 2023 年的六个子时期进行了质量平衡评估。结果表明,1980-2000 年和 2005-2012 年冰川处于快速融化状态,融化率分别为-0.46 m w.e./a 和 - 0.37 m w.e./a;1973-1980 年和 2012-2018 年冰川处于中度融化状态,融化率分别为-0.26 m w.e./a 和 - 0.28 m w.e./a;2000-2005 年和 2018-2023 年冰川融化速度较慢,融化率分别为-0.08 m w.e./a 和 - 0.18 m w.e./a。随后,我们利用 KH-9 和 Landsat 图像对 1973-2023 年期间彼得罗夫湖的面积变化进行了评估。结果显示,在整个研究期间,冰湖面积大幅增加了 2.81 平方公里(150.25%),相当于每平方公里增加了 0.054 平方公里。此外,我们还利用 ICESat-2 激光测高和哨兵-3 雷达测高数据,对彼得罗夫湖 2019 年至 2023 年的水位进行了监测。我们的研究结果表明,冰川湖水位呈现出年内波动和年际变化,根据周期波动模型确定,年内波动幅度为 0.67 ± 0.09 m,年际变化率为 0.30 ± 0.05 m/a。最后,经过对ERA5-Land气象数据、地形、冰川质量平衡、湖泊面积和水位的综合分析,我们可以得出以下结论:(1)冰川质量平衡主要受气温和降雪的影响;(2)冰川湖泊面积的变化受湖盆、冰川表面高程和排水事件等因素的驱动;(3)冰川湖泊水位的年内波动和年际变化均主要受降水和冰川质量平衡的影响;(4)冰川质量平衡占冰川湖泊水位变化的(36.19 ± 8.47)%,而降水量占(63.81 ± 5.08)%。冰川质量平衡测量揭示了天山中部 Ak-Shyirak 冰原因气候变化而不断变化的模式。首次进行的冰川湖泊水位测量提供了对年内和年际变化的独特见解,为第三极地区范围内的冰川湖泊监测提供了参考。此外,量化冰川融水对湖泊水量的贡献将有助于未来的冰川湖泊评估和潜在的溃决洪水影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Glacier mass change and evolution of Petrov Lake in the Ak-Shyirak massif, central Tien Shan, from 1973 to 2023 using multisource satellite data
Warming in the Third Pole region accelerates glacier and snow melt, leading to a rise in glacial lake numbers and sizes. However, accurately measuring their water level changes poses challenges, hindering precise volume assessments and evaluation of glacier mass balance contributions. Here, we took the Ak-Shyirak glaciers and the largest Petrov proglacial lake in the Central Tien Shan as a case study to investigate these phenomena. Specifically, firstly, we conducted mass balance assessments for the Ak-Shyirak massif for six sub-periods from 1973 to 2023 using KH-9 DEMs, SRTM DEM, and ASTER DEMs. The results indicate that glaciers were in a state of rapid melting for 1980–2000 and 2005–2012, with rates of −0.46 m w.e./a and − 0.37 m w.e./a; moderate melting during 1973–1980 and 2012–2018, with rates of −0.26 m w.e./a and − 0.28 m w.e./a, while slower melting during 2000–2005 and 2018–2023, with rates of −0.08 m w.e./a and − 0.18 m w.e./a. Subsequently, we conducted assessments of the area change of Petrov Lake for 1973–2023 using KH-9 and Landsat images. The results reveal a significant increase in the glacial lake area by 2.81 km2 (150.25 %), corresponding to a rate of 0.054 km2/a over the entire study period. Furthermore, we conducted monitoring of Petrov Lake's water level from 2019 to 2023 by utilizing ICESat-2 laser altimetry and Sentinel-3 radar altimetry data. Our findings indicate that the glacial lake level shows intra-annual fluctuations and inter-annual change, with amplitudes of 0.67 ± 0.09 m and increase rate of 0.30 ± 0.05 m/a, respectively, as determined by a periodic fluctuation model. Finally, after a comprehensive analysis of ERA5-Land meteorological data, topography, glacier mass balance, lake area, and water level, we can draw the following conclusions: (1) glacier mass balance is predominantly influenced by the air temperature and snowfall; (2) changes in glacial lake area are driven by factors such as the lake basin, glacier surface elevation, and drainage event; (3) intra-annual fluctuations and inter-annual change in glacial lake levels are both primarily influenced by precipitation and glacier mass balance; (4) glacier mass balance accounts for (36.19 ± 8.47)% of the water supply contributing to changes in glacial lake volume change, while precipitation represents (63.81 ± 5.08)%. Glacier mass balance measurements reveal changing patterns in the Ak-Shyirak massif, Central Tien Shan, due to climate change. Inaugural proglacial lake level measurements provide unique insights into both intra-annual and inter-annual changes, serving as a reference for Third Pole region-wide glacial lake monitoring. Additionally, quantifying glacier meltwater contributions to lake volumes will aid future glacial lake evaluation and potential outburst flood impacts.
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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