Imaging Hydrogeological and Mechanical Parameters in Landslides Through Geophysical Data Fusion: The Hofermühle Site
- Author(s)
- N. Roser, M. Steiner, Margherita Stumvoll, T. Katona, Thomas Glade, Adrian Flores Orozco
- Abstract
We applied a data fusion strategy based on imaging results obtained from joint inversion of seismic and electric data sets, independent inversion of induced polarization data and multichannel analysis of surface waves to solve for mechanical and petrophysical parameters in a shallow landslide in Austria. Seismic data was used to estimate the Poisson’s ratio and a subsurface density model was defined by rock, water and air contents retrieved from the joint inversion. Based on these subsurface models the elastic moduli shear and Young’s moduli were derived to characterize the subsurface in terms of material stiffness. Ground truth data was used to evaluate the resolved models and showed good agreement to the imaging results. The combination of all data sets provided an imaging framework allowing to distinguish lithological units and revealing spatial information on the saturation state and stiffness of the subsurface to accurately define the characteristics of a shallow landslide.
- Organisation(s)
- Department of Geography and Regional Research
- External organisation(s)
- Technische Universität Wien
- Pages
- 1-5
- No. of pages
- 5
- DOI
- https://doi.org/10.3997/2214-4609.202120123
- Publication date
- 2021
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 105408 Physical geography, 105404 Geomorphology
- ASJC Scopus subject areas
- Earth-Surface Processes, Geophysics, Geotechnical Engineering and Engineering Geology
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/1c004ba0-4d96-4633-974d-b6a8a516b572