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Detection of sinkholes using 2D electrical resistivity imaging

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dc.contributor.author Van Schoor, Michael en_US
dc.date.accessioned 2007-02-06T08:37:19Z en_US
dc.date.accessioned 2007-06-07T10:02:43Z
dc.date.available 2007-02-06T08:37:19Z en_US
dc.date.available 2007-06-07T10:02:43Z
dc.date.copyright en_US
dc.date.issued 2002-07 en_US
dc.identifier.citation Van Schoor, M. 2002. Detection of sinkholes using 2D electrical resistivity imaging. Journal of applied geophysics, vol 50(4), pp 393-399 en_US
dc.identifier.issn 0926-9851 en_US
dc.identifier.uri http://hdl.handle.net/10204/1474 en_US
dc.identifier.uri http://hdl.handle.net/10204/1474
dc.description.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. en_US
dc.format.extent 327791 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en en_US
dc.publisher Elsevier Science BV en_US
dc.rights Copyright: 2002 Elsevier Science Ltd en_US
dc.source en_US
dc.subject Cavities en_US
dc.subject Dolomite en_US
dc.subject Sinkholes en_US
dc.subject RESTOM en_US
dc.subject Geoelectric imaging en_US
dc.subject Resistivity tomographies en_US
dc.title Detection of sinkholes using 2D electrical resistivity imaging en_US
dc.type Article en_US
dc.identifier.apacitation Van Schoor, A. M. (2002). Detection of sinkholes using 2D electrical resistivity imaging. http://hdl.handle.net/10204/1474 en_ZA
dc.identifier.chicagocitation Van Schoor, Abraham M "Detection of sinkholes using 2D electrical resistivity imaging." (2002) http://hdl.handle.net/10204/1474 en_ZA
dc.identifier.vancouvercitation Van Schoor AM. Detection of sinkholes using 2D electrical resistivity imaging. 2002; http://hdl.handle.net/10204/1474. en_ZA
dc.identifier.ris TY - Article AU - Van Schoor, Abraham M AB - 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. DA - 2002-07 DB - ResearchSpace DP - CSIR KW - Cavities KW - Dolomite KW - Sinkholes KW - RESTOM KW - Geoelectric imaging KW - Resistivity tomographies LK - https://researchspace.csir.co.za PY - 2002 SM - 0926-9851 T1 - Detection of sinkholes using 2D electrical resistivity imaging TI - Detection of sinkholes using 2D electrical resistivity imaging UR - http://hdl.handle.net/10204/1474 ER - en_ZA


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