How water, temperature and seismicity control the preparation of massive rock slope failure (Hochvogel, DE/AT)

IF 2.8 2区 地球科学 Q2 GEOGRAPHY, PHYSICAL
Johannes Leinauer, Michael Dietze, Sibylle Knapp, Riccardo Scandroglio, Maximilian Jokel, Michael Krautblatter
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Abstract

Abstract. The increasing hazard of major rock slope failures, exacerbated by climate change, underscores the importance of anticipating pre-failure process dynamics. While standard triggers are recognized for small rockfalls, few comprehensive driver quantifications exist for massive pre-failure rock slopes. Here we exploit >4 years multi-method high-resolution monitoring data from a well-prepared high-magnitude rock slope instability. To quantify and understand the effect of possible drivers – water from rain and snowmelt, internal rock fracturing and earthquakes – we correlate slope displacements with environmental data, local seismic recordings and earthquake catalogues. During the snowmelt phase, displacements are controlled by meltwater infiltration with high correlation and a time lag of 4–9 days. During the snow-free summer, rainfall drives the system with a time lag of 1–16 h for up to several days without a minimum activation rain sum threshold. Detected rock fracturing, linked to temperature and freeze-thaw cycles, is predominantly surface-near and unrelated to displacement rates. A classic Newmark analysis of recent and historic earthquakes indicates a low potential for immediate triggering of a major failure at the case site, unless it is already very close to failure. Seismic topographic amplification of the peak ground velocity at the summit ranges from a factor of 2–11 and is spatially heterogeneous, indicating a high criticality of the slope. The presented methodological approach enables a comprehensive rockfall driver evaluation and indicates where future climatic changes, e.g. in precipitation intensity and frequency, may alter the preparation of major rock slope failures.
水、温度和地震如何控制大规模岩坡崩塌的准备工作(Hochvogel,德国/奥地利)
摘要重大岩石边坡崩塌的危害日益严重,气候变化更是雪上加霜,这凸显了预测崩塌前过程动态的重要性。虽然人们已经认识到小型落石的标准触发因素,但对于大规模崩塌前岩石边坡来说,很少有全面的驱动因素量化。在这里,我们利用了一个准备充分的高震级岩石边坡失稳的 4 年多方法高分辨率监测数据。为了量化和了解可能的驱动因素(雨雪融水、岩石内部断裂和地震)的影响,我们将边坡位移与环境数据、当地地震记录和地震目录相关联。在融雪阶段,位移受融水渗透控制,相关性很高,时滞为 4-9 天。在无雪的夏季,降雨驱动系统,时滞为 1-16 小时,持续时间长达数天,没有最小激活雨量总和阈值。检测到的岩石断裂与温度和冻融循环有关,主要是地表附近的断裂,与位移率无关。对近期和历史地震进行的经典纽马克分析表明,在案例地点立即引发重大破坏的可能性很低,除非已经非常接近破坏。山顶峰值地面速度的地震地形放大系数为 2-11 倍,并且在空间上具有异质性,这表明斜坡具有高度临界性。所提出的方法能够对岩石崩落的驱动因素进行全面评估,并指出未来气候的变化(如降水强度和频率)可能会改变主要岩石边坡崩塌的准备情况。
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来源期刊
Earth Surface Dynamics
Earth Surface Dynamics GEOGRAPHY, PHYSICALGEOSCIENCES, MULTIDISCI-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
5.40
自引率
5.90%
发文量
56
审稿时长
20 weeks
期刊介绍: Earth Surface Dynamics (ESurf) is an international scientific journal dedicated to the publication and discussion of high-quality research on the physical, chemical, and biological processes shaping Earth''s surface and their interactions on all scales.
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