Induced polarization as a tool to characterize permafrost. 2. Applications to low and high-porosity environments

SUMMARY In the previous paper of this series, a petrophysical model named the Dynamic Stern Layer (DSL) model was extended to describe induced polarization phenomena associated with permafrost by capturing direct and indirect effects associated with the presence of ice in porous media. In this paper, time-domain induced polarization data obtained in field conditions are interpreted thanks to this updated DSL model. We selected three different test sites in order to apply the DSL model to very different conditions of low and high ice contents to see how ice content directly and indirectly affects geoelectrical measurements. A first survey is performed along a cross-section of a ridge in the Kangerlussuaq mountains of Greenland (Site I). In this area, the rock corresponds to a Precambrian granite characterized by a rather low (<5 per cent) porosity and therefore a low ice volumetric content on the North face of the ridge. We do not see any direct ice polarization contribution in the data obtained with a current injection period of 1 s. We also performed a field survey close to Col des Vés (2846 m a.s.l., Tignes, French Alps, Site II). This site corresponds to a complex ground ice body overlying a substratum made of a low-porosity marble, both having high resistivity values. The front of this body is characterized by a small amount of residual ice while the roots are ice-rich. Therefore the porosity at this site is high and the ice content highly variable. This case study showcases the role of ice in the induced polarization data in terms of high chargeability values (close to 1 as predicted by the theory in which ice behaves as a surfacic protonic semiconductor) at the roots of the complex ground ice body. A third site (Site III) corresponds to a profile crossing the Aiguille du Midi (3842 m a.s.l., Chamonix), also in the French Alps in a low porosity granitic environment. Laboratory experiments are used to interpret the tomograms of the electrical conductivity and normalized chargeability using the DSL model and water content and cation exchange capacity tomograms are reconstructed at these sites. This study demonstrates the ability of induced polarization to be an efficient tool to characterize permafrost in very different field conditions.

Authors

Institutions

Publication Details

Journal
Geophysical Journal International
Published
2025-11-06
DOI
https://doi.org/10.1093/gji/ggaf464
Citations
3
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
3.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Induced polarization as a tool to characterize permafrost. 2. Applications to low and high-porosity environments

J. Richard, A. Revil, Hong Cai, Philippe Schoeneich et al.
3 citations
Geophysical Journal International
Climate change and permafrost
3.90
article

Induced polarization as a tool to characterize permafrost. 2. Applications to low and high-porosity environments

J. Richard, A. Revil, Hong Cai, Philippe Schoeneich, Marco Marcer, Bastien Charonnat, Xie Hu, Pierre‐Allain Duvillard, Florence Magnin, Feras Abdulsamad, Thomas Ingeman‐Nielsen, Ludovic Ravanel
article en
3 citations

Abstract

SUMMARY In the previous paper of this series, a petrophysical model named the Dynamic Stern Layer (DSL) model was extended to describe induced polarization phenomena associated with permafrost by capturing direct and indirect effects associated with the presence of ice in porous media. In this paper, time-domain induced polarization data obtained in field conditions are interpreted thanks to this updated DSL model. We selected three different test sites in order to apply the DSL model to very different conditions of low and high ice contents to see how ice content directly and indirectly affects geoelectrical measurements. A first survey is performed along a cross-section of a ridge in the Kangerlussuaq mountains of Greenland (Site I). In this area, the rock corresponds to a Precambrian granite characterized by a rather low (<5 per cent) porosity and therefore a low ice volumetric content on the North face of the ridge. We do not see any direct ice polarization contribution in the data obtained with a current injection period of 1 s. We also performed a field survey close to Col des Vés (2846 m a.s.l., Tignes, French Alps, Site II). This site corresponds to a complex ground ice body overlying a substratum made of a low-porosity marble, both having high resistivity values. The front of this body is characterized by a small amount of residual ice while the roots are ice-rich. Therefore the porosity at this site is high and the ice content highly variable. This case study showcases the role of ice in the induced polarization data in terms of high chargeability values (close to 1 as predicted by the theory in which ice behaves as a surfacic protonic semiconductor) at the roots of the complex ground ice body. A third site (Site III) corresponds to a profile crossing the Aiguille du Midi (3842 m a.s.l., Chamonix), also in the French Alps in a low porosity granitic environment. Laboratory experiments are used to interpret the tomograms of the electrical conductivity and normalized chargeability using the DSL model and water content and cation exchange capacity tomograms are reconstructed at these sites. This study demonstrates the ability of induced polarization to be an efficient tool to characterize permafrost in very different field conditions.

Geophysical Journal InternationalVol. 244(1)
St. Joseph Hospital (US), Ilisimatusarfik (GL), China University of Geosciences (CN), Nunavut Arctic College (CA), Institut National de l'Énergie Solaire (FR), Laboratoire Pacte (FR), Université Savoie Mont Blanc (FR), Université Grenoble Alpes (FR), Technical University of Denmark (DK), École de Technologie Supérieure (CA)
Colorado School of Mines, Strong, Ministero della transizione ecologica, Agence Nationale de la Recherche, NordForsk, Centre National de la Recherche Scientifique
Openalex Percentile: Top 6%
Climate change and permafrost
3.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.