Detection of sinkholes using 2D electrical resistivity imaging |
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Authors: | Michael van Schoor |
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Institution: | CSIR, Division of Mining Technology, PO Box 91230, Auckland Park 2006, Johannesburg, South Africa |
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Abstract: | Sinkholes in dolomitic areas are notoriously difficult geophysical targets, and selecting an appropriate geophysical solution is not straightforward. Electrical resistivity imaging, or tomography (RESTOM) is well suited to mapping sinkholes because of the ability of the technique for detecting resistive features and discriminating subtle resistivity variations. RESTOM surveys were conducted at two sinkhole sites near Pretoria, South Africa. The survey areas are located in the dolomites of the Lyttelton Formation, which forms part of the Malamani Subgroup and Chuniespoort Group of the Transvaal Supergroup. The survey results suggest that RESTOM is an ideal geophysical tool to aid in the detection and monitoring of sinkholes and other subsurface cavities. |
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Keywords: | (Electrical) resistivity tomography Geoelectric imaging RESTOM Sinkhole Cavity Dolomite |
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