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Complex conductivity of soils

Authors :
André Revil
A. Coperey
Joost Delsman
Willem Dabekaussen
Zhenlu Shao
Armin Menkovic
P.S. Pauw
Ida Lykke Fabricius
Marios Karaoulis
Nicolas Florsch
E.S. van Baaren
P.G.B. de Louw
Y. Deng
J.L. Gunnink
Source :
Water Resources Research. 53:7121-7147
Publication Year :
2017
Publisher :
American Geophysical Union (AGU), 2017.

Abstract

The complex conductivity of soils remains poorly known despite the growing importance of this method in hydrogeophysics. In order to fill this gap of knowledge, we investigate the complex conductivity of 71 soils samples (including four peat samples) and one clean sand in the frequency range 0.1 Hz to 45 kHz. The soil samples are saturated with six different NaCl brines with conductivities (0.031, 0.53, 1.15, 5.7, 14.7, and 22 S m21, NaCl, 258C) in order to determine their intrinsic formation factor and surface conductivity. This data set is used to test the predictions of the dynamic Stern polarization model of porous media in terms of relationship between the quadrature conductivity and the surface conductivity. We also investigate the relationship between the normalized chargeability (the difference of in-phase conductivity between two frequencies) and the quadrature conductivity at the geometric mean frequency. This data set confirms the relationships between the surface conductivity, the quadrature conductivity, and the normalized chargeability. The normalized chargeability depends linearly on the cation exchange capacity and specific surface area while the chargeability shows no dependence on these parameters. These new data and the dynamic Stern layer polarization model are observed to be mutually consistent. Traditionally, in hydrogeophysics, surface conductivity is neglected in the analysis of resistivity data. The relationships we have developed can be used in field conditions to avoid neglecting surface conductivity in the interpretation of DC resistivity tomograms. We also investigate the effects of temperature and saturation and, here again, the dynamic Stern layer predictions and the experimental observations are mutually consistent.

Details

ISSN :
00431397
Volume :
53
Database :
OpenAIRE
Journal :
Water Resources Research
Accession number :
edsair.doi...........6e100f7980910ff789dd46f28756652d
Full Text :
https://doi.org/10.1002/2017wr020655