4-Dimensional Electrical Resistivity Tomography for continuous, near-real time monitoring of a landslide affecting transport infrastructure in British Columbia, Canada
|Title:||4-Dimensional Electrical Resistivity Tomography for continuous, near-real time monitoring of a landslide affecting transport infrastructure in British Columbia, Canada||Authors:||Holmes, Jessica; Chambers, Jonathan; Meldrum, Philip; Donohue, Shane; et al.||Permanent link:||http://hdl.handle.net/10197/11842||Date:||Aug-2020||Online since:||2021-01-15T14:15:25Z||Abstract:||The Ripley Landslide is a small (0.04 km2), slow-moving landslide in the Thompson River Valley, British Columbia, that is threatening the serviceability of two national railway lines. Slope failures in this area are having negative impacts on railway infrastructure, terrestrial and aquatic ecosystems, public safety, communities, local heritage, and the economy. This is driving the need for monitoring at the site, and in recent years there has been a shift from traditional geotechnical surveys and visual inspections for monitoring infrastructure assets toward less invasive, lower cost,and less time-intensive methods, including geophysics. We describe the application of anovelelectrical resistivity tomography (ERT) system for monitoring the landslide. The system provides near-real time geoelectrical imaging, with results delivered remotely via a modem, avoiding the need for costly repeat field visits, and enabling near-real time interpretation of the 4D ERT data. Here, we present the results of the ERT monitoring alongsidefield sensor-derived relationships between suction, resistivity,moisture content, and continuous monitoring single-frequency GNSS stations. 4-D ERT data allows us to monitor spatial and temporal changes inresistivity, and by extension, in moisture content and soil suction. The models reveal complex hydrogeological pathways, as well as considerable seasonalvariation in the response of the subsurface to changing weather conditions, which cannot be predicted through interrogation of weather and sensor data alone, providing new insight into the subsurface processes active at the site of the Ripley Landslide.||Funding Details:||University College Dublin||Funding Details:||Department for the Economy, Northern Ireland
British Geological Survey
|Type of material:||Journal Article||Publisher:||European Association of Geoscientists and Engineers||Journal:||Near Surface Geophysics||Volume:||18||Issue:||4||Start page:||337||End page:||351||Copyright (published version):||2020 the Authors||Keywords:||Electrical resistivity tomography; Hydrogeophysics; Landslide||DOI:||10.1002/nsg.12102||Language:||en||Status of Item:||Peer reviewed||ISSN:||1569-4445||This item is made available under a Creative Commons License:||https://creativecommons.org/licenses/by-nc-nd/3.0/ie/|
|Appears in Collections:||Civil Engineering Research Collection|
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