Integrating Seismic Methods for Characterizing and Monitoring Landslides: A Case Study of the Heinzenberg Deep-Seated Gravitational Slope Deformation (Switzerland)
Open Access
- 24 January 2024
- journal article
- research article
- Published by MDPI AG in Geosciences
- Vol. 14 (2) , 28
Abstract
While geodetic measurements have long been used to assess landslides, seismic methods are increasingly recognized as valuable tools for providing additional insights into subsurface structures and mechanisms. This work aims to characterize the subsurface structures of the deep-seated gravitational slope deformation (DSGSD) at Heinzenberg through the integration of active and passive seismic measurements. Seismic techniques can hereby deliver additional information on the subsurface structure and mechanisms involved, e.g., the degree of rock mass degradation, the resonant frequencies of the potentially unstable compartments, and the local fracture network orientations that are influenced by wavefield polarization. By employing advanced methods such as H/V analysis, site-to-reference spectral ratios, polarization analysis, surface wave analysis, and the joint multizonal transdimensional Bayesian inversion of velocity structures, we establish a comprehensive baseline model of the landslide at five selected sites. This baseline model shall help identify potential changes after the refilling of Lake Lüsch, which started in 2021. Our results reveal the rupture surface of the DSGSD at various depths ranging from 30 m at the top to over 90 m in the middle of the slope. Additionally, we estimate key parameters including the shear wave velocities of the different rock masses. The 2D geophysical profiles and rock mass properties contribute to the understanding of the subsurface geometry, geomechanical properties, and potential water pathways. This study demonstrates the significance of integrating seismic methods with traditional geodetic measurements and geomorphologic analysis techniques for a comprehensive assessment of landslides, enhancing our ability to monitor and mitigate hazardous events.Keywords
Funding Information
- Swiss National Science Foundation (200021E 177586, SNF 200020_214916, FNRS 31230499, FOEN 00.5032.PZ/EC049A5A7)
- Belgium National Science Foundation F.R.S. (200021E 177586, SNF 200020_214916, FNRS 31230499, FOEN 00.5032.PZ/EC049A5A7)
- Swiss Federal Office for the Environment (200021E 177586, SNF 200020_214916, FNRS 31230499, FOEN 00.5032.PZ/EC049A5A7)
This publication has 50 references indexed in Scilit:
- Characterizing landslides through geophysical data fusion: Example of the La Valette landslide (France)Engineering Geology, 2012
- Chronology of the last glacial cycle in the European AlpsJournal of Quaternary Science, 2008
- Geophysical data fusion by fuzzy logic for imaging the mechanical behaviour of mudslidesBSGF - Earth Sciences Bulletin, 2007
- The nature of noise wavefield and its applications for site effects studiesEarth-Science Reviews, 2006
- Site Effect Analysis around the Seismically Induced Ananevo Rockslide, KyrgyzstanBulletin of the Seismological Society of America, 2002
- Faster, Better: Shear-Wave Velocity to 100 Meters Depth from Refraction Microtremor ArraysBulletin of the Seismological Society of America, 2001
- Comparing Shear-Wave Velocity Profiles from MASW with Borehole Measurements in Unconsolidated Sediments, Fraser River Delta, B.C., CanadaJournal of Environmental and Engineering Geophysics, 2000
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determinationBiometrika, 1995
- Recent climatic change and catastrophic geomorphic processes in mountain environmentsGeomorphology, 1994
- Monte Carlo sampling methods using Markov chains and their applicationsBiometrika, 1970