Complex conductivity of oil-contaminated clayey soils

•A study on the complex conductivity of oil-bearing clayey soils is provided.•Both exponents n and p are influenced by the pore water and soil properties.•The relationship p = n−1 fits well for the soils with a low CEC (≤10 meq/100 g).•The SIP method exhibits a great potential in the quantification...

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Veröffentlicht in:Journal of hydrology (Amsterdam) 2018-06, Vol.561, p.930-942
Hauptverfasser: Deng, Yaping, Shi, Xiaoqing, Revil, André, Wu, Jichun, Ghorbani, A.
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Sprache:eng
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Zusammenfassung:•A study on the complex conductivity of oil-bearing clayey soils is provided.•Both exponents n and p are influenced by the pore water and soil properties.•The relationship p = n−1 fits well for the soils with a low CEC (≤10 meq/100 g).•The SIP method exhibits a great potential in the quantification of oil volume. Spectral induced polarization (SIP) is considered as a promising tool in environmental investigations. However, few works have done regarding the electrical signature of oil contamination of clayey soils upon induced polarization. Laboratory column experiments plus one sandbox experiment are conducted in this study to investigate the performances of the SIP method in oil-contaminated soils. First, a total of 12 soils are investigated to reveal the influences of water and soil properties on the saturation dependence of the complex conductivity below 100 Hz. Results show that the magnitude of the complex conductivity consistently decreases with decreasing water saturation for all soils samples. The saturation n and quadrature conductivity p exponents tend to increase slightly with increasing water salinity when using a linear conductivity model. The saturation exponent increases marginally with the cation exchange capacity (CEC) and the specific surface area (Ssp) while the quadrature conductivity exponent exhibits a relatively stronger dependence on both CEC and Ssp. For the low CEC soil samples (normally ≤10 meq/100 g), the quadrature conductivity exponent p correlates well with the saturation exponent n using the relationship p = n−1. SIP method is further applied in a sandbox experiment to estimate the saturation distribution and total volume of the oil. Results demonstrate that the SIP method has a great potential for mapping the organic contaminant plume and quantifying the oil volume.
ISSN:0022-1694
1879-2707
DOI:10.1016/j.jhydrol.2018.04.055