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Investigating Subglacial Water‐Filled Cavities by Spectral Analysis of Ambient Seismic Noise: Results on the Polythermal Tête‐Rousse Glacier (Mont Blanc, France)

Antoine Guillemot, Noélie Bontemps, Éric Larose, Daniela Teodor, Sylvain Faller, Laurent Baillet, Stéphane Garambois, Emmanuel Thibert, Olivier Gagliardini, Christian Vincent

2024Geophysical Research Letters11 citationsDOIOpen Access PDF

Abstract

Abstract Polythermal glaciers can trap considerable volumes of liquid water with the potential to generate devastating outburst floods. This study aims to identify water‐filled subglacial reservoirs from ambient seismic noise collected by moderate‐cost surveys. The horizontal‐to‐vertical spectral ratio technique is highly sensitive to impedance contrasts at interfaces, thus commonly used to estimate glacier thickness. Here, we focus on the inverse ratio, that is, the V/H spectral ratio (VHSR), whose high values indicate a low impedance volume beneath the surface, suggesting subglacial cavities. We analyze VHSR peaks from a seismic array of 60 nodes installed on the Tête‐Rousse Glacier (Mont Blanc massif, French Alps); data were gathered over 15 days. Mapping the VHSR amplitude over the free surface reveals the main cavity locations and the basal areas affected by melting within the glacier. Results obtained in the field are supported by a conceptual model based on 3D finite‐element simulations.

Topics & Concepts

GeologyGlacierMassifGeomorphologyAmbient noise levelElectrical conduitMineralogySeismologyGeochemistrySound (geography)EngineeringMechanical engineeringSeismic Waves and AnalysisLandslides and related hazardsCryospheric studies and observations
Investigating Subglacial Water‐Filled Cavities by Spectral Analysis of Ambient Seismic Noise: Results on the Polythermal Tête‐Rousse Glacier (Mont Blanc, France) | Litcius