EGU2020-6565, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-6565
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Ambient seismic noise monitoring: an online application for decision makers – example of various applications for different slopes configurations.

Alexandra Royer1, Mathieu Le Breton1, Antoine Guillemot2, Noélie Bontemps2, Eric Larose2, Laurent Baillet2, Denis Jongmans2, Fabrice Guyoton1, Michel Jaboyedoff3, and Raphael Mayoraz4
Alexandra Royer et al.
  • 1Geolithe, 181 rue des Bécasses – 38920 CROLLES – FRANCE
  • 2Université de Grenoble & CNRS, ISTerre - GRENOBLE, France (eric.larose@univ-grenoble-alpes.fr)
  • 3Institut des Sciences de la Terre, Uni Lausanne, Suisse
  • 4SFCEP, Canton du Vallais, Suisse

Monitoring landslides is essential to understand their dynamics and to reduce the risk of human losses by detecting precursors before failures. In general, surface observations need to be complemented by observation at depth, in the bulk of the material. A decade ago, the ambient seismic noise interferometry method was proposed to monitor changes in the seismic surface wave velocity. As seismic wave velocities are directly related to the rigidity of the material, any reduction of seismic velocity can be associated to a loss of rigidity with high probability (a route toward soil liquefaction or to high fracturation). This technique led to detect a velocity decrease several days before the failure of a clayey landslide [1], paving the way to a novel precursor signal that could serve for alert or early warning systems. Here we report at least five different landslides that have been monitored, over several years [2]. In this paper, we detail the standard experimental configuration, the basic signal processing procedure, the sensitivity and resolution of the method, together with its advantages and possible limitations. Environmental effects on the relative seismic velocity change are discussed.

In order to make the technology operational for decision makers, we built an online application with web portal displaying daily evolution of seismic velocity variation. This portal also integrates other available observations like environmental parameters (weather, precipitations) or surface observation (photogrammetry, gps, extensometers…).

[1] G. Mainsant, E. Larose, C. Brönnimann, D. Jongmans, C. Michoud, M. Jaboyedoff, Ambient seismic noise monitoring of a clay landslide : toward failure prediction, J. Geophys. Res. 117, F01030 (2012).

[2] M. Le Breton, N. Bontemps, A. Guillemot, L. Baillet, E. Larose, Landslide Monitoring Using Seismic Ambient Noise In-terferometry: Challenges and Applications, Earth Science Review (under review) (2020)

How to cite: Royer, A., Le Breton, M., Guillemot, A., Bontemps, N., Larose, E., Baillet, L., Jongmans, D., Guyoton, F., Jaboyedoff, M., and Mayoraz, R.: Ambient seismic noise monitoring: an online application for decision makers – example of various applications for different slopes configurations., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6565, https://doi.org/10.5194/egusphere-egu2020-6565, 2020

Comments on the presentation

AC: Author Comment | CC: Community Comment | Report abuse

Presentation version 3 – uploaded on 07 May 2020 , no comments
version 3 - corrected
Presentation version 2 – uploaded on 05 May 2020 , no comments
url links
Presentation version 1 – uploaded on 03 May 2020 , no comments