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Seismic constraints on rock damaging related to a failing mountain peak: the Hochvogel, Allgäu
Earth Surface Processes and Landforms ( IF 2.8 ) Pub Date : 2020-11-16 , DOI: 10.1002/esp.5034
M. Dietze 1 , M. Krautblatter 2 , L. Illien 1 , N. Hovius 1, 3
Affiliation  

Large rock slope failures play a pivotal role in long‐term landscape evolution and are a major concern in land use planning and hazard aspects. While the failure phase and the time immediately prior to failure are increasingly well studied, the nature of the preparation phase remains enigmatic. This knowledge gap is due, to a large degree, to difficulties associated with instrumenting high mountain terrain and the local nature of classic monitoring methods, which does not allow integral observation of large rock volumes. Here, we analyse data from a small network of up to seven seismic sensors installed during July–October 2018 (with 43 days of data loss) at the summit of the Hochvogel, a 2592 m high Alpine peak. We develop proxy time series indicative of cyclic and progressive changes of the summit. Modal analysis, horizontal‐to‐vertical spectral ratio data and end‐member modelling analysis reveal diurnal cycles of increasing and decreasing coupling stiffness of a 260,000 m3 large, instable rock volume, due to thermal forcing. Relative seismic wave velocity changes also indicate diurnal accumulation and release of stress within the rock mass. At longer time scales, there is a systematic superimposed pattern of stress increased over multiple days and episodic stress release within a few days, expressed in an increased emission of short seismic pulses indicative of rock cracking. Our data provide essential first order information on the development of large‐scale slope instabilities towards catastrophic failure. © 2020 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.

中文翻译:

与山峰破裂有关的岩石破坏的地震约束:阿尔高的霍赫沃格尔

大型岩石边坡破坏在长期景观演变中起着关键作用,并且是土地利用规划和灾害方面的主要关注点。尽管对故障阶段和即将发生故障的时间的研究越来越深入,但准备阶段的性质仍然难以捉摸。这种知识鸿沟在很大程度上是由于与测量高山地形有关的困难以及经典监测方法的局部性,而这导致无法整体观察大体积的岩石。在这里,我们分析了一个由最多7个地震传感器组成的小型网络的数据,该网络安装于2018年7月至10月的Hochvogel高峰(海拔2592 m的高山)上,数据丢失了43天。我们开发了代理时间序列,以指示峰会的周期性和渐进式变化。模态分析3大,不稳定的岩石体积,由于热强迫。相对地震波速度变化还表明岩体内部的日累积和应力释放。在更长的时间尺度上,有一种系统的叠加应力模式,其应力连续几天增加,而几天内的偶发应力释放,这表示指示岩石破裂的短地震脉冲的发射增加。我们的数据提供了关于大规模边坡失稳向灾难性破坏发展的重要一阶信息。©2020作者。约翰·威利父子有限公司(John Wiley&Sons Ltd.)发布的《地球表面过程和地形》
更新日期:2020-11-16
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