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Constraining landslide characteristics with Bayesian inversion of field and seismic data

Title: Constraining landslide characteristics with Bayesian inversion of field and seismic data
Authors: Moretti, L.; Mangeney, A.; Walter, F.; Capdeville, Y.; Bodin, T.; Stutzmann, E.; Le Friant, A.
Contributors: Università degli studi della Campania "Luigi Vanvitelli" = University of the Study of Campania Luigi Vanvitelli; Institut de Physique du Globe de Paris (IPGP - UMR_7154); Institut national des sciences de l'Univers (INSU - CNRS)-Institut National de l'Information Géographique et Forestière IGN (IGN)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité); Max-Planck-Institut für Astronomie = Max Planck Institute for Astronomy (MPIA); Max-Planck-Gesellschaft; Laboratoire de Planétologie et Géodynamique UMR 6112 (LPG); Université d'Angers (UA)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST); Université de Nantes (UN)-Université de Nantes (UN)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS); AGROCAMPUS OUEST; ANR-11-BS01-0016,LANDQUAKES,Modélisation des glissements de terrain et des ondes sismiques générées pour détecter et comprendre les instabilités gravitaires(2011)
Source: ISSN: 0956-540X.
Publisher Information: CCSD; Oxford University Press (OUP)
Publication Year: 2020
Subject Terms: Volcano seismology; Waveform inversion; Numerical modelling; Friction; Geomorphology; Atlantic Ocean; [SDU]Sciences of the Universe [physics]; [SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Description: International audience ; Using a fully nonlinear Bayesian approach based on forward modelling of granular flow, we invert for landslide parameters (volume, release geometry and rheology) from different kinds of observations. Synthetic tests show that the runout distance and the deposit area by themselves do not constrain landslide parameters. Better constraints on landslide parameters are obtained from the thickness distribution of the landslide deposits, as well as from the force history applied by the landslide to the ground, which contains information on the landslide dynamics. Therefore, inverting force histories calculated from seismic broad-band records is an important alternative to inverting thickness distributions of landslide deposits, which are usually difficult to obtain. We test the method on the 1997 Boxing Day debris avalanche on Montserrat Island, which involved 40 − 50 Mm 3. The Bayesian inversion and granular flow model provide good estimates for volume, release geometry and effective friction coefficient. This study thus underlines the value of broad-band seismic records as observations to monitor landslides and validation for their numerical flow models.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1093/gji/ggaa056
Availability: https://hal.science/hal-02639361; https://hal.science/hal-02639361v2/document; https://hal.science/hal-02639361v2/file/Moretti_etal_GJI_2020.pdf; https://doi.org/10.1093/gji/ggaa056
Rights: https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.F820D046
Database: BASE