Electrical resistivity and surface-wave methods for the detection of shallow objects in glaciolacustrine clay

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dc.contributor.authorDeniset, Ian
dc.contributor.examiningcommitteeAlfaro, Marolo (Civil Engineering) Frederiksen, Andrew (Geological Sciences)en_US
dc.contributor.supervisorBlatz, James (Civil Engineering)en_US
dc.date.accessioned2020-08-14T22:22:41Z
dc.date.available2020-08-14T22:22:41Z
dc.date.copyright2020-08-11
dc.date.issued2020en_US
dc.date.submitted2020-08-11T16:15:06Zen_US
dc.date.submitted2020-08-11T20:46:38Zen_US
dc.degree.disciplineCivil Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractGeotechnical site characterization is typically accomplished through the use of drilling programs, frequently employing numerous bore holes to characterize the subsurface at discrete locations. While usually sufficient, this method of investigation can be problematic for highly heterogeneous subsurface conditions, as the approach generally lacks lateral resolution. This deficiency in horizontal resolution can be particularly damaging in the Winnipeg and surrounding area, as the near-surface stratigraphy includes a thick sequence of glaciolacustrine clay that often contains sporadic collections of glacial debris. Such collections, if left undetected, can potentially result in engineering project delays and associated cost overruns. To overcome such problems, and provide an alternate method of subsurface characterization, the feasibility of using both electrical resistivity tomography (ERT) and multi-channel analysis of surface waves (MASW) geophysical methods for the detection of buried glacial debris was investigated. To assess the suitability of each method, testing was completed in two main stages, with both numerical modeling and field analysis conducted. During the initial modeling stage, results indicated that both methods were capable of detecting larger debris accretions (lateral extent > 8m), with each recovering a response for such objects at depths upwards of 6 m. Results from subsequent field testing were similarly successful, with each method detecting a response from buried debris of various size and depth. ERT data was found to be particularly effective, with data from field testing accurately recovering the lateral position of numerous discrete objects. In comparison, while successful at detecting an anomalous response, the MASW method was unable to image singular objects, with the signature from individual features being averaged into a single layer. However, secondary backscattering analysis (BSA) completed using the same seismic data proved successful for the detection of discrete objects, with results providing both an accurate lateral location and depth of each.en_US
dc.description.noteOctober 2020en_US
dc.identifier.urihttp://hdl.handle.net/1993/34862
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectElectrical resistivityen_US
dc.subjectSeismic surface-wavesen_US
dc.subjectElectrical resistivity tomographyen_US
dc.subjectERTen_US
dc.subjectMulti-channel analysis of surface wavesen_US
dc.subjectMASWen_US
dc.subjectGeophysicsen_US
dc.subjectGeotechnicalen_US
dc.subjectGlacial debrisen_US
dc.subjectShallow object detectionen_US
dc.subjectGlaciolacustrine clayen_US
dc.subjectBouldersen_US
dc.subjectRayleigh wavesen_US
dc.titleElectrical resistivity and surface-wave methods for the detection of shallow objects in glaciolacustrine clayen_US
dc.typemaster thesisen_US
local.subject.manitobayesen_US
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