Application and limitations of time domain-induced polarization tomography for the detection of hydrocarbon pollutants in soils with electro-metallic components: a case study

2020 ◽  
Vol 192 (2) ◽  
Author(s):  
Bárbara Biosca ◽  
Lucía Arévalo-Lomas ◽  
Fernando Barrio-Parra ◽  
Jesús Díaz-Curiel
Keyword(s):  
Time Domain ◽  
Induced Polarization ◽  
Polarization Tomography

scholarly journals Multidisciplinary Characterization of Chlorinated Solvents Contamination and In-Situ Remediation with the Use of the Direct Current Resistivity and Time-Domain Induced Polarization Tomography

Geosciences ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 487 ◽  
Author(s):  
Aristeidis Nivorlis ◽  
Torleif Dahlin ◽  
Matteo Rossi ◽  
Nikolas Höglund ◽  
Charlotte Sparrenbom
Keyword(s):  
Direct Current ◽  
Time Domain ◽  
Chlorinated Solvents ◽  
Induced Polarization ◽  
Contaminated Sites ◽  
In Situ Remediation ◽  
Polarization Tomography ◽  
Refraction Tomography

Soil contamination is a widespread problem and action needs to be taken in order to prevent damage to the groundwater and the life around the contaminated sites. In Sweden, it is estimated that more than 80,000 sites are potentially contaminated, and therefore, there is a demand for investigations and further treatment of the soil. In this paper, we present the results from a methodology applied in a site contaminated with chlorinated solvents, for characterization of the contamination in order to plan the remediation and to follow-up the initial step of in-situ remediation in an efficient way. We utilized the results from three different methods; membrane interface probe for direct measurement of the contaminant concentrations; seismic refraction tomography for investigating the depth to the bedrock interface; and direct current resistivity and time-domain induced polarization tomography to acquire a high-resolution imaging of the electrical properties of the subsurface. The results indicate that our methodology is very promising in terms of site characterization, and furthermore, has great potential for real-time geophysical monitoring of contaminated sites in the future.

scholarly journals Mapping geological structures in bedrock via large-scale direct current resistivity and time-domain induced polarization tomography

2017 ◽  
Vol 15 (6) ◽  
pp. 657-667 ◽  
Author(s):  
Matteo Rossi ◽  
Per-Ivar Olsson ◽  
Sara Johanson ◽  
Gianluca Fiandaca ◽  
Daniel Preis Bergdahl ◽  
...  
Keyword(s):  
Direct Current ◽  
Time Domain ◽  
Large Scale ◽  
Induced Polarization ◽  
Geological Structures ◽  
Polarization Tomography

Use of Time‐Domain Induced Polarization for Lithology Identification: A Case Study from the Hanford 300‐Area

2011 ◽  
Author(s):  
Kisa Mwakanyamale ◽  
Lee Slater ◽  
Dimitrios Ntarlagiannis ◽  
Andrew Binley ◽  
Frederick Day‐Lewis ◽  
...  
Keyword(s):  
Time Domain ◽  
Induced Polarization ◽  
Use Of Time ◽  
Lithology Identification

Mapping of landfills using time-domain spectral induced polarization data: the Eskelund case study

2012 ◽  
Vol 10 (6) ◽  
pp. 575-586 ◽  
Author(s):  
A. Gazoty ◽  
G. Fiandaca ◽  
J. Pedersen ◽  
E. Auken ◽  
A.V. Christiansen
Keyword(s):  
Time Domain ◽  
Induced Polarization ◽  
Polarization Data ◽  
Spectral Induced Polarization

Induced polarization response of porous media with metallic particles — Part 4: Detection of metallic and nonmetallic targets in time-domain induced polarization tomography

Geophysics ◽  
2016 ◽  
Vol 81 (4) ◽  
pp. D359-D375 ◽  
Author(s):  
Deqiang Mao ◽  
André Revil ◽  
John Hinton
Keyword(s):  
Time Domain ◽  
Clay Mineralogy ◽  
Clay Content ◽  
Exchange Capacity ◽  
Induced Polarization ◽  
Polarization Tomography ◽  
Sandbox Experiments ◽  
Best Parameter ◽  
The Right ◽  
Water Saturated

Time-domain induced polarization (TDIP) is a nonintrusive imaging technique of the subsurface that can be used to localize polarizable bodies including metallic objects and clay-rich materials. We first reviewed recent advances in the interpretation of induced polarization data. Then, we performed laboratory and sandbox experiments to determine the frequency-domain and TDIP signature of (1) a metal bar in sand, (2) dispersed semiconductors (e.g., pyrite) in sand, and (3) bentonite. In the case of the sandbox experiments, the three types of bodies were localized in the center of the sandbox, which was filled with water-saturated sand. We determined that chargeability was the best parameter to characterize metallic bodies (the metallic bar and the dispersed pyrite), whereas normalized chargeability was the best parameter to characterize the cation exchange capacity and therefore the clay content of the subsurface at a given clay mineralogy. For interpretation purposes, it was therefore important to display the right parameters in TDIP depending on the type of target we wanted to image for engineering applications.

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