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Eissa, R, Cassidy, N, Pringle, JK and Stimpson, IG (2019) Electrical resistivity tomography array comparisons to detect cleared-wall foundations in brownfield sites. Quarterly Journal of Engineering Geology and Hydrogeology, 53 (1). pp. 137-144. ISSN 1470-9236
qjegh2018-192_R1.pdf - Accepted Version
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Abstract
Electrical resistivity surveys are commonly used to detect and characterise near-surface buried objects in commercial developments of brownfield sites. 2D ERT profiles arrays predominate in such surveys due to their relatively rapid deployment, good penetration depths and fast data collection rates. However, there is a need to test the optimum array types in such surveys. A scaled-model was used to simulate a large cleared-building wall foundation at a test facility, before multiple 2D ERT profiles were acquired using different array configurations. Results were used to generate 2D resistivity models using both least-square smoothness-constraint and robust inversion. 2D profile array comparisons showed that the Wenner and dipole-dipole arrays were the best in detecting the cleared-wall foundation, although dipole-dipole arrays better delineated the top of the wall foundation. This study suggests that both Wenner and dipole-dipole array configurations should be utilised to detect buried wall foundations for 2D resistivity surveys.
Item Type: | Article |
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Additional Information: | This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Geological Society at https://doi.org/10.1144/qjegh2018-192 - please refer to any applicable terms of use of the publisher. |
Uncontrolled Keywords: | near-surface geophysics, brownfield sites, electrical resistivity arrays, wall foundations, ERT, inversion |
Subjects: | Q Science > QC Physics Q Science > QE Geology |
Divisions: | Faculty of Natural Sciences > School of Geography, Geology and the Environment |
Related URLs: | |
Depositing User: | Symplectic |
Date Deposited: | 19 Jun 2019 14:15 |
Last Modified: | 14 Jun 2020 01:30 |
URI: | https://eprints.keele.ac.uk/id/eprint/6504 |