Issue |
E3S Web Conf.
Volume 642, 2025
5th European Conference on Unsaturated Soils and Biotechnology applied to Geotechnical Engineering (EUNSAT2025 + BGE)
|
|
---|---|---|
Article Number | 03022 | |
Number of page(s) | 7 | |
Section | EUNSAT2025 - Experimental Evidence and Techniques | |
DOI | https://doi.org/10.1051/e3sconf/202564203022 | |
Published online | 14 August 2025 |
Dielectric permittivity method to monitor (liquid) water content in unsaturated soils, frozen soils, and snow
1 University of Strathclyde, Department of Civil and Environmental Engineering, Glasgow, Scotland (UK)
2 Agenzia Regionale per la Prevenzione e Protezione Ambientale del Veneto, Centro Valanghe di Arabba Veneto, Belluno, Italy
3 Agenzia Provinciale per la Protezione dell'Ambiente - Provincia Autonoma di Trento, Trento, Italy
4 Università degli Studi di Roma Tor Vergata, Dipartimento di Ingegneria Civile e Ingegneria Informatica, Roma, Italy,
* Corresponding author: alessandro.tarantino@strath.ac.uk
Monitoring (liquid) water content is key to inform early-warning systems for unsaturated, permafrost, and snow slopes. Dielectric permittivity-based sensors are widely used to monitor (liquid) water content in unsaturated soils and include the well-known TDR and capacitive probes. In contrast to unsaturated soils, there are no established methods to measure liquid water content in frozen soils and snow. This paper introduces the ‘refractive index’ mixing model for four-phase materials (solids, air, liquid water, and solid water) as a unifying equation to interpret dielectric permittivity measurements in unsaturated soils, frozen soils, and snow. The mixing model is first used to revisit empirical equations used to estimate the water content in unsaturated soils. It is then validated against TDR measurements of bulk density in dry snow. Its use to monitor the liquid water content in frozen soils and snow is finally discussed.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.