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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10204/1474
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| Title: | Detection of sinkholes using 2D electrical resistivity imaging |
| Authors: | Van Schoor, M |
| Keywords: | Cavities Dolomite Sinkholes RESTOM Geoelectric imaging Resistivity tomographies |
| Issue Date: | Jul-2002 |
| Publisher: | Elsevier Science BV |
| Citation: | Van Schoor, M. 2002. Detection of sinkholes using 2D electrical resistivity imaging. Journal of applied geophysics, vol 50(4), pp 393-399 |
| 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 Super group. The survey results suggest that RESTOM is an ideal geophysical tool to aid in the detection and monitoring of sinkholes and other subsurface cavities. |
| URI: | http://hdl.handle.net/10204/1474 http://hdl.handle.net/10204/1474 |
| ISSN: | 0926-9851 |
| Appears in Collections: | Mining and geoscience General science, engineering & technology
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