Communication Dans Un Congrès Année : 2024

Argentière Glacier Characterization by Full Waveforms: Source Inversion as a Preliminary Step

Résumé

The importance of studying glacier behavior and mechanisms has greatly increased in the context of current climate change. In this study, we process seismic data recorded at the surface of the Argentière glacier to characterize its 3D structure. The first step is to characterize the sources responsible for the recorded signals, most of them being icequakes. We start by using the Matched Field Processing method to detect events in the data and spatially localize the icequakes within the glacier. We then build a 3D model of the glacier’s surface topography using digital elevation models. Finally, we invert the focal mechanism and time signature associated with each icequake using an iterative alternating optimization algorithm. The inversion is performed in the elastic approximation and the 3 data components are used. The method is based on a decomposition of the solution of the elastodynamic equations into the derivatives of the Green functions associated with the moment tensor coefficients (characterizing the source mechanism). The results are encouraging: surface waves are generally well reconstructed in the calculated seismograms. Moreover, the estimation of mechanisms yields an interesting result: most icequakes (84%) seem to behave like isotropic sources.
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Dates et versions

hal-04792409 , version 1 (21-11-2024)

Identifiants

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Arthur Grange, Romain Brossier, Ludovic Métivier, Philippe Roux, Julien Thurin. Argentière Glacier Characterization by Full Waveforms: Source Inversion as a Preliminary Step. 85th EAGE Annual Conference & Exhibition, Jun 2024, Oslo (Norway), Norway. pp.1-5, ⟨10.3997/2214-4609.202410802⟩. ⟨hal-04792409⟩
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