Ambient seismic noise monitoring of a clay landslide: Toward failure prediction

被引:165
|
作者
Mainsant, Guenole [1 ]
Larose, Eric [1 ]
Broennimann, Cornelia [3 ]
Jongmans, Denis [1 ]
Michoud, Clement [2 ]
Jaboyedoff, Michel [2 ]
机构
[1] Univ Grenoble 1, CNRS, ISTerre, F-38041 Grenoble 9, France
[2] Univ Lausanne, IGAR, CH-1015 Lausanne, Switzerland
[3] Ecole Polytech Fed Lausanne, GEOLEP, CH-1015 Lausanne, Switzerland
关键词
DEBRIS FLOWS; MODEL; MOVEMENT; MOBILITY;
D O I
10.1029/2011JF002159
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Given that clay-rich landslides may become mobilized, leading to rapid mass movements (earthflows and debris flows), they pose critical problems in risk management worldwide. The most widely proposed mechanism leading to such flow-like movements is the increase in water pore pressure in the sliding mass, generating partial or complete liquefaction. This solid-to-liquid transition results in a dramatic reduction of mechanical rigidity in the liquefied zones, which could be detected by monitoring shear wave velocity variations. With this purpose in mind, the ambient seismic noise correlation technique has been applied to measure the variation in the seismic surface wave velocity in the Pont Bourquin landslide (Swiss Alps). This small but active composite earthslide-earthflow was equipped with continuously recording seismic sensors during spring and summer 2010. An earthslide of a few thousand cubic meters was triggered in mid-August 2010, after a rainy period. This article shows that the seismic velocity of the sliding material, measured from daily noise correlograms, decreased continuously and rapidly for several days prior to the catastrophic event. From a spectral analysis of the velocity decrease, it was possible to determine the location of the change at the base of the sliding layer. These results demonstrate that ambient seismic noise can be used to detect rigidity variations before failure and could potentially be used to predict landslides.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Global characteristics of ambient seismic noise
    Xiaomeng Li
    Yan Xu
    Chaodi Xie
    Shanshan Sun
    Journal of Seismology, 2022, 26 : 343 - 358
  • [32] Combining Seismic Noise Techniques for Landslide Characterization
    Pilz, Marco
    Parolai, Stefano
    Bindi, Dino
    Saponaro, Annamaria
    Abdybachaev, Ulan
    PURE AND APPLIED GEOPHYSICS, 2014, 171 (08) : 1729 - 1745
  • [33] Combining Seismic Noise Techniques for Landslide Characterization
    Marco Pilz
    Stefano Parolai
    Dino Bindi
    Annamaria Saponaro
    Ulan Abdybachaev
    Pure and Applied Geophysics, 2014, 171 : 1729 - 1745
  • [34] RaspMI: Raspberry Pi Assisted Embedded System for Monitoring and Recording of Seismic Ambient Noise
    Kafadar, Ozkan
    IEEE SENSORS JOURNAL, 2021, 21 (05) : 6306 - 6313
  • [35] Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlation
    Kong, Chao
    Zhan, Kai
    Wen, Xiaotao
    Song, Ping
    Zhang, Lianhai
    Ding, Hanying
    EARTHQUAKE SCIENCE, 2025, 38 (01) : 47 - 55
  • [36] Space-Time Monitoring of Seafloor Velocity Changes Using Seismic Ambient Noise
    Guo, Peng
    Saygin, Erdinc
    Kennett, Brian
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2024, 129 (06)
  • [37] Monitoring seismic velocity changes in the Dongtan Coal Mine using ambient noise correlation
    Chao Kong
    Kai Zhan
    Xiaotao Wen
    Ping Song
    Lianhai Zhang
    Hanying Ding
    Earthquake Science, 2025, 38 (01) : 47 - 55
  • [38] Seismic monitoring in the Gugla rock glacier (Switzerland): ambient noise correlation, microseismicity and modelling
    Guillemot, Antoine
    Helmstetter, Agnes
    Larose, Eric
    Baillet, Laurent
    Garambois, Stephane
    Mayoraz, Raphael
    Delaloye, Reynald
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2020, 221 (03) : 1719 - 1735
  • [39] Seismic monitoring in the Gugla rock glacier (Switzerland): Ambient noise correlation, microseismicity and modelling
    Guillemot A.
    Helmstetter A.
    Larose É.
    Baillet L.
    Garambois S.
    Mayoraz R.
    Delaloye R.
    Geophysical Journal International, 2020, 221 (03): : 1719 - 1735
  • [40] Instantaneous phase variation for seismic velocity monitoring from ambient noise at the exploration scale
    Corciulo, Margherita
    Roux, Philippe
    Campillo, Michel
    Dubucq, Dominique
    GEOPHYSICS, 2012, 77 (04) : Q37 - Q44