Alternance of two reactivation regimes on Pont-Bourquin earthflow, highlighted by changes in seismic velocity and sensitivity to rainfall

This study detects the regular alternation of two different reactivation regimes of the Pont-Bourquin Earthflow, occurring from 2010 to 2023, by combining the continuous monitoring of three indicators:(1) seismic velocity, using ambient noise interferometry 1,2(2) displacement rate, using extensometers and RFID tags 35(3) sensitivity to rainfall and snowmelt, using dynamic impulse response deconvolution 6,7 The study confirms the hypothesis of a dual mechanism previously suggested on this landslide from the lag of hydrological and displacement response to precipitations 8,9, and goes further by detecting when these regime changes occur. In an early-warning system, this method might serve to discriminate different regimes during accelerations that are seemingly equivalent. References related to this study: 1 Mainsant, G. et al. Ambient seismic noise monitoring of a clay landslide: Toward failure prediction. J. Geophys. Res. Earth Surf. 117, F01030 (2012).2 Le Breton, M., Bontemps, N., Guillemot, A., Baillet, L. Larose, . Landslide monitoring using seismic ambient noise correlation: challenges and applications. Earth-Sci. Rev. 103518 (2021) doi:10.1016/j.earscirev.2021.103518.3 Le Breton, M. et al. Passive radio-frequency identification ranging, a dense and weather-robust technique for landslide displacement monitoring. Eng. Geol. 250, 110 (2019).4 Le Breton, M. et al. Dense and long-term monitoring of earth surface processes with passive RFID a review. Earth-Sci. Rev. 234, 104225 (2022).5 Charlty, A., Le Breton, M., Baillet, L. Larose, E. RFID Landslide Monitoring: Long-Term Outdoor Signal Processing and Phase Unwrapping. IEEE J. Radio Freq. Identif. 7, 319329 (2023).6 Bernardie, S., Desramaut, N., Malet, J.-P., Gourlay, M. Grandjean, G. Prediction of changes in landslide rates induced by rainfall. Landslides 12, 481494 (2015).7 Le Breton, M. Suivi temporel dun glissement de terrain laide dtiquettes RFID passives, coupl lobservation de pluviomtrie et de bruit sismique ambiant. (Universit Grenoble Alpes, 2019).8 Bronnimann, C. S. Effect of Groundwater on Landslide Triggering. (cole Polytechnique Fdrale de Lausanne, 2011).9 Bivre, G. et al. Influence of environmental parameters on the seismic velocity changes in a clayey mudflow (Pont-Bourquin Landslide, Switzerland). Eng. Geol. 245, 248257 (2018).