Combined Surface-Wave and Resistivity Imaging for Shallow Subsurface Characterization
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2009
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Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1250891786 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-ohiou12508917862021-08-03T05:46:13Z Combined Surface-Wave and Resistivity Imaging for Shallow Subsurface Characterization Tufekci, Sinan Geology Geophysics combined methods surface waves resistivity electrical resistivity tomography multi-channel analysis of surface waves MASW bedrock detection void detection 2D subsurface imaging contrast of subsurface features anomaly strength A method for combining resistivity and surface-wave tomography data has been developed to enhance the near-surface anomalies imaged by both techniques. Efficient acquisition of both dipole-dipole resistivity and multichannel surface-wave data can be accomplished using an automated multi-electrode resistivity meter and a 24-channel engineering seismograph with 18 active channels employed in roll along mode. A 100m survey using a 2m geophone spacing and a 4m electrode separation can be completed in approximately 6 hours. Electrical and seismic data may be combined in a number of ways to enhance various types of anomalies. For example, the division of resistivity into shear-wave velocity (from the surface-wave inversion) can be used to strengthen the contrast of the alluvium/consolidated rock contact in depth-to-bedrock studies. Similarly, since the likelihood that a resistivity anomaly represents a void is increased if it also displays low shear-wave velocity, the ratio of resistivity to shear-wave velocity will enhance anomalies due to voids and suppress those arriving from other features. In a floodplain survey in Athens, Ohio, this “combined image” enhanced anomalies common to both seismic and resistivity images and suppressed features observed in only one physical property. Thus, combined surface-wave and electrical resistivity surveys can be effective in situations where the need for increased anomaly strength and/or decreased ambiguity in interpretation are worth the additional field work and processing time. 2009-09-21 English text Ohio University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1250891786 http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1250891786 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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English |
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topic |
Geology Geophysics combined methods surface waves resistivity electrical resistivity tomography multi-channel analysis of surface waves MASW bedrock detection void detection 2D subsurface imaging contrast of subsurface features anomaly strength |
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Geology Geophysics combined methods surface waves resistivity electrical resistivity tomography multi-channel analysis of surface waves MASW bedrock detection void detection 2D subsurface imaging contrast of subsurface features anomaly strength Tufekci, Sinan Combined Surface-Wave and Resistivity Imaging for Shallow Subsurface Characterization |
author |
Tufekci, Sinan |
author_facet |
Tufekci, Sinan |
author_sort |
Tufekci, Sinan |
title |
Combined Surface-Wave and Resistivity Imaging for Shallow Subsurface Characterization |
title_short |
Combined Surface-Wave and Resistivity Imaging for Shallow Subsurface Characterization |
title_full |
Combined Surface-Wave and Resistivity Imaging for Shallow Subsurface Characterization |
title_fullStr |
Combined Surface-Wave and Resistivity Imaging for Shallow Subsurface Characterization |
title_full_unstemmed |
Combined Surface-Wave and Resistivity Imaging for Shallow Subsurface Characterization |
title_sort |
combined surface-wave and resistivity imaging for shallow subsurface characterization |
publisher |
Ohio University / OhioLINK |
publishDate |
2009 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1250891786 |
work_keys_str_mv |
AT tufekcisinan combinedsurfacewaveandresistivityimagingforshallowsubsurfacecharacterization |
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1719425018457227264 |