Seismic and radon signatures: A multiparametric approach to monitor surface dynamics of a hazardous 2021 rock–ice avalanche, Chamoli Himalaya

IF 2.8 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL Earth Surface Processes and Landforms Pub Date : 2024-05-09 DOI:10.1002/esp.5869
Anil Tiwari, Kalachand Sain, Jyoti Tiwari, Amit Kumar, Naresh Kumar, Ajay Paul, Vaishali Shukla
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Abstract

The observation of precursory signals of the 2021 Chamoli rock–ice avalanche provides an opportunity to investigate the multidisciplinary analysis approach of rock failure. On 7 February 2021, a huge rock–ice mass detached from the Raunthi peak at Chamoli district in Uttarakhand, India. The tragic catastrophe resulted in more than 200 deaths and significant economic losses. Here, we analyse radon concentration and seismic signals to characterise the potential precursory anomalies prior to the detachment. Continuous peaks of radon anomalies were observed from the afternoon of 5 to 7 February and decreased suddenly after the event, while a cumulative number of seismic tremors and amplitude variations are more intensified ~2.30 h before the main event, indicating a static to dynamic phase change within the weak zone. This study not only characterises abnormal signals but also models the rock failure mechanisms. The analysis unveils three time‐dependent nucleation phases, physical mechanisms of signal generation and a complete scenario of physical factors that affected the degree of criticality of slope failure. The results of this study suggest gradual progression of rock cracks/joints, subsequent material creep and slip advancement acceleration preceded the final failure. Furthermore, the study highlights the importance of an early warning system to mitigate the impact of events like the 2021 Chamoli rock–ice avalanche.
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地震和氡特征:采用多参数方法监测查莫利喜马拉雅山危险的 2021 年岩冰雪崩的地表动态
对 2021 年 Chamoli 岩冰雪崩前兆信号的观测为研究岩石崩塌的多学科分析方法提供了机会。2021 年 2 月 7 日,巨大的岩冰块从印度北阿坎德邦 Chamoli 地区的 Raunthi 峰脱落。这场悲惨的灾难造成了 200 多人死亡和巨大的经济损失。在此,我们分析了氡浓度和地震信号,以确定脱离前的潜在前兆异常特征。从 2 月 5 日下午到 7 日,我们观察到了氡异常的连续峰值,并在事件发生后骤然降低,而地震震级和振幅变化的累积次数在主事件发生前 2.30 小时更加剧烈,表明薄弱区内出现了从静态到动态的相变。这项研究不仅描述了异常信号的特征,还建立了岩石破坏机制模型。分析揭示了三个随时间变化的成核阶段、信号产生的物理机制以及影响边坡破坏临界程度的物理因素的完整情景。研究结果表明,在最终破坏之前,岩石裂缝/节理逐渐发展,随后材料蠕变和滑移加速。此外,该研究还强调了预警系统对于减轻 2021 年查莫利岩冰雪崩等事件影响的重要性。
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来源期刊
Earth Surface Processes and Landforms
Earth Surface Processes and Landforms 地学-地球科学综合
CiteScore
6.40
自引率
12.10%
发文量
215
审稿时长
4 months
期刊介绍: Earth Surface Processes and Landforms is an interdisciplinary international journal concerned with: the interactions between surface processes and landforms and landscapes; that lead to physical, chemical and biological changes; and which in turn create; current landscapes and the geological record of past landscapes. Its focus is core to both physical geographical and geological communities, and also the wider geosciences
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