Are area changes the primary indicator for predicting glacial lake outburst Risks?——A case study of the HMA region

IF 3.5 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
Research in Cold and Arid Regions Pub Date : 2026-04-01 Epub Date: 2025-03-12 DOI:10.1016/j.rcar.2025.03.005
ZhiJuan Tian , XiaoJun Yao , Cong Zhang , HongYu Duan , Juan Zhang , Qin Ma
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Abstract

Glacial lake outburst floods (GLOFs) have received substantial attention owing to their catastrophic potential. Thus, accurate susceptibility assessments are crucial for disaster prevention and mitigation. These assessments primarily depend on the characteristics of glacial lakes and their surrounding environments. While some studies highlight glacial lake area expansion as a key indicator, quantitative analyses remain limited. This study investigates 94 reported GLOF events in High Mountain Asia (HMA) since 1998, confirming 40 precise events through literature review, remote sensing imagery, and geomorphological analysis. By constructing year-by-year boundary data for these 40 glacial lakes and analyzing their area changes, we identified three key findings: (1) Relationship between lake size and outburst frequency: Smaller lakes are more prone to outbursts. The mean glacial lake area was 0.25 km2, with 42.5% being <0.1 km2 and only 2.5% >1 km2. (2) Complex area change patterns: Area changes before outbursts were categorized into four types: expanding, stable, shrinking, and fluctuating. Notably, 45% of lakes showed expansion trends, while 15.56% exhibited significant shrinkage. (3) Regional differences in susceptibility: In the Himalayas, pre-outburst area changes were highly variable, making area growth an unreliable indicator of GLOF susceptibility. Conversely, lakes in the Nyainqentanglha Mountains were either stable or expanding before outbursts, suggesting that continuous expansion could serve as a potential trigger and warrants close monitoring. These findings underscore the need for comprehensive, region-specific approaches to GLOF risk assessment, emphasizing the complexity of area changes and the importance of tailored monitoring strategies.
面积变化是预测冰湖溃决风险的主要指标吗?——以HMA地区为例
冰湖溃决洪水因其潜在的灾难性灾害而受到广泛关注。因此,准确的易感性评估对于防灾和减灾至关重要。这些评估主要取决于冰川湖泊及其周围环境的特征。虽然一些研究强调冰湖面积扩大是一个关键指标,但定量分析仍然有限。本文对1998年以来报道的94次亚洲高山冰凌事件进行了研究,通过文献综述、遥感影像和地貌分析等方法确定了40次冰凌事件。通过对这40个冰湖的年际边界数据进行构建,并对其面积变化进行分析,得出了三个主要发现:(1)湖泊规模与溃决频率的关系:较小的湖泊更容易发生溃决;平均冰湖面积为0.25 km2,其中0.1 km2占42.5%,1 km2仅占2.5%。(2)复杂的面积变化模式:爆发前的面积变化可分为扩张型、稳定型、收缩型和波动型4种类型。其中,45%的湖泊有扩张趋势,15.56%的湖泊有明显收缩趋势。(3)易感性的区域差异:在喜马拉雅地区,突出前区域的变化变化很大,使得区域增长成为GLOF易感性的不可靠指标。相反,念青唐吉拉山的湖泊在爆发前要么稳定,要么扩张,这表明持续扩张可能是潜在的触发因素,值得密切监测。这些研究结果强调需要对GLOF风险评估采取全面的、针对特定区域的方法,强调区域变化的复杂性和量身定制监测战略的重要性。
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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