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受地震活动影响的高山地区整体落石风险评估:应用于智利安第斯山脉中部的乌斯帕拉塔山谷

Holistic rockfall risk assessment in high mountain areas affected by seismic activity: Application to the Uspallata valley, Central Andes, Chile.

作者信息

Farvacque Manon, Eckert Nicolas, Candia Gabriel, Bourrier Franck, Corona Christophe, Toe David

机构信息

Climate Change Impacts and Risks in the Anthropocene, Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland.

Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, IGE, Grenoble, France.

出版信息

Risk Anal. 2024 May;44(5):1021-1045. doi: 10.1111/risa.14239. Epub 2023 Nov 12.

DOI:10.1111/risa.14239
PMID:37952939
Abstract

Over large regions exposed to natural disasters, cascading effects resulting from complex or concatenated natural processes may represent a large portion of total risk. Populated high-mountain environments are a major concern, and methods for large-scale quantitative risk analyses are urgently required to improve risk mitigation. This article presents a comprehensive quantitative rockfall risk assessment over a large archetypal valley of the Andean mountains, in Central Chile, which integrates a wide spectrum of elements at risk. Risk is expressed as an expected damage both in monetary terms and casualties, at different scales relevant for decision making. Notably, total rockfall risk is divided into its main drivers, which allows quantifying seismically induced rockfall risk. For this purpose, the local seismic hazard is quantified and the yield acceleration, that is, acceleration required to initiate rockfall, is determined at the regional scale. The probability of failure is thereafter derived in terms of annual frequency of rockfall initiation and integrated in the quantitative risk assessment (QRA) process. Our results show the significant role of seismic activity as the triggering mechanism of rockfalls, and highlight elements at risk that have a major contribution to the total risk. Eventually a sensitivity analysis is conducted to (i) assess the robustness of obtained risk estimates to the data and modeling choices and (ii) identify the most influential assumptions. Our approach evidences the feasibility of large-scale QRAs in sensitive environments and opens perspectives for refining QRAs in similar territories significantly affected by cascading effects and multihazards.

摘要

在遭受自然灾害的广大区域,复杂或连环自然过程产生的级联效应可能占总风险的很大一部分。人口密集的高山环境是一个主要关注点,迫切需要大规模定量风险分析方法来改善风险缓解措施。本文对智利中部安第斯山脉一个典型的大山谷进行了全面的定量落石风险评估,该评估整合了广泛的受险要素。风险以货币和人员伤亡方面的预期损失来表示,在与决策相关的不同尺度上。值得注意的是,总落石风险被分解为其主要驱动因素,这使得能够量化地震诱发的落石风险。为此,对当地地震危险性进行了量化,并在区域尺度上确定了引发落石所需的屈服加速度,即启动落石所需的加速度。此后,根据落石启动的年频率得出失效概率,并将其纳入定量风险评估(QRA)过程。我们的结果显示了地震活动作为落石触发机制的重要作用,并突出了对总风险有重大贡献的受险要素。最后进行了敏感性分析,以(i)评估所获得的风险估计对数据和建模选择的稳健性,以及(ii)确定最有影响的假设。我们的方法证明了在敏感环境中进行大规模QRA的可行性,并为在受级联效应和多重灾害显著影响的类似地区完善QRA开辟了前景。

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