Searcharxiv⌕ Search

arXiv · 2611.02868

Characterizing landslide dynamics from time-lapse time domain induced polarization and ground-based imaging: a case study of the MontGombert landslide (French, Alps)

Abstract

Electrical resistivity tomography (ERT) is widely used to investigate landslide morphology and dynamics. Landslide behavior is strongly influenced by clay content, pore pressure, and the spatial distribution of permeability. However, conventional direct current (DC) resistivity methods have limited capacity to characterize permeability, as materials with low electrical resistivity may exhibit either high or low permeability depending on their clay content and the relative contributions of surface and electrolytic conduction. Induced polarization (IP) offers a valuable complementary approach for investigating the petrophysical properties of geological materials. Despite its potential, IP has been rarely applied to landslide studies and has not yet been widely used for landslide monitoring. This study investigates the added value of IP measurements alongside conventional DC resistivity for landslide characterization and monitoring. Three time-domain induced polarization (TDIP) surveys were conducted at different time steps on an active landslide in the French Alps. Time-lapse inversions of resistivity and chargeability were performed, and spectral IP parameters were derived using Debye decomposition. The results were then compared with surface displacement estimates obtained from optical image processing. The findings demonstrate that TDIP is particularly valuable for delineating unstable volumes within the landslide. The geophysical results show strong agreement with independent measurements from piezometers and inclinometers. Furthermore, applying an empirical relationship between IP parameters and permeability enables the spatial distribution of permeability within the landslide to be estimated, as well as its seasonal variations. Overall, this study highlights the potential of combining IP and DC resistivity measurements to improve the characterization of landslide properties and support the monitoring of their temporal evolution.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Aurore Carrier, Ombeline Meric, Pierre Bottelin. 2026-11-02. Characterizing landslide dynamics from time-lapse time domain induced polarization and ground-based imaging: a case study of the MontGombert landslide (French, Alps). https://arxiv.org/abs/2611.02868

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Supershear Rupture Indicator in Near-fault Particle Motion

Earthquake rupture propagation speed is an essential source parameter that fundamentally controls hazard and risk. In this paper, we develop and demonstrate the capability of a single near-fault seismic record in delineating earthquake rupture speed by inspecting displacement particle motion. We apply this method to near-fault strong-motion data in M7+ strike-slip earthquakes and identify diverse particle-motion signatures associated with subshear rupture, supershear rupture, supershear transition, initial rupture expansion, and potential multiple rupture fronts. This study highlights the value of near-fault observations for determining rupture speed.

physics.geo-ph↗

Extracting and Characterizing Near-Fault Effects from Strong Motion Observations of the 2022 Chishang Earthquake Sequence

Accurately characterizing near-fault ground motions, particularly permanent tectonic displacements and velocity pulses associated with rupture directivity, is essential for seismic hazard assessment and infrastructure design. However, conventional ground-motion processing can distort or remove these characteristics. This study extends existing baseline correction methods by synchronously processing all three components of strong-motion recordings to preserve near-fault effects. The proposed methodology is applied to 59 recordings from the 2022 M 6.5 Guanshan foreshock and M 6.9 Chishang mainshock in Taiwan. Comparison with nearby Global Navigation Satellite System (GNSS) observations demonstrates that the method reliably captures the amplitude and orientation of permanent tectonic displacements. Analysis of the processed recordings reveals pronounced velocity pulses and permanent displacements, with the largest peak-to-peak velocities concentrated along the direction of rupture propagation. A classification framework is also introduced to distinguish fling-step pulses from dynamic velocity pulses. The results indicate that fling-step pulses typically occur early in the ground shaking, whereas dynamic pulses span a broader temporal range. Furthermore, the spatial distribution and orientation of near-fault effects are consistent with bridge damage documented during post-earthquake reconnaissance. The resulting dataset provides ground-motion time histories that preserve near-fault characteristics for seismic hazard assessment and engineering applications.

physics.geo-ph↗

Shallow lunar fractures dominate the long-lasting seismic coda

Lunar seismic records are characterized by long-lasting spindle-shaped coda, which has long been considered to be caused by strong velocity contrasts in a continuous-medium lunar crust; however, simulated waveforms could not well match the observation even with unrealistically strong velocity contrasts, demonstrating its mechanism still unsolved. Here we propose a novel model of coda wave generation with random fractures in the lunar crust, where vacuum fractures prevent seismic wave propagation as insulating boundaries, causing strong persistent reverberation in terms of total reflection among fractures. Our model can easily reproduce the typical characteristics of observed Apollo data even using a limited number of simplified fractures in homogeneous matrix, with envelope correlations over 0.9, much higher than previous studies. Numerical simulations suggest that fractures in the uppermost ~1 km of the crust may dominate lunar seismic scattering. This model enables us to investigate the shallow lunar fracture system using seismic data and to suppress seismic coda for detecting critical phases reflected from deep interiors.

physics.geo-ph↗