Application of petrophysical relationships to electrical resistivity models for assessing the stability of a landslide in British Columbia, Canada

Holmes, Jessica; Chambers, Jonathan; Wilkinson, Paul; Meldrum, Philip; Cimpoiasu, Mihai; Boyd, James; Huntley, David; Williamson, Paul; Gunn, David; Dashwood, Ben; Whiteley, Jim; Watlet, Arnaud; Kirkham, Matthew; Sattler, Kelvin; Elwood, David; Sivakumar, Vinayagamoothy; Donohue, Shane. 2022 Application of petrophysical relationships to electrical resistivity models for assessing the stability of a landslide in British Columbia, Canada. Engineering Geology, 301, 106613. https://doi.org/10.1016/j.enggeo.2022.106613

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Official URL: http://dx.doi.org/10.1016/j.enggeo.2022.106613

Abstract/Summary

Landslides in the Thompson River Valley, British Columbia, Canada, threaten the serviceability of two railway lines that connect Vancouver to the rest of Canada and the US. To minimise the impact of slope instability on vital transport infrastructure, as well as on terrestrial and aquatic ecosystems, public safety, communities, local heritage, and the economy, and to better inform decision making, there is a need for monitoring. Since 2013, the Ripley Landslide – a small, slow-moving, translational landslide – has been the focus of monitoring efforts in the Thompson River Valley transportation corridor. In November 2017, a novel Electrical Resistivity Tomography (ERT) monitoring system was installed on the site, providing near-real-time data collection via a telemetric link. 4-Dimensional resistivity models are presented in the context of moisture content and soil suction, two parameters known to influence slope stability in the Thompson River Valley. Here, we discuss the development of laboratory-based petrophysical relationships that relate electrical resistivity to moisture content and soil suction directly, building on relationships developed in the field. The 4-D ERT models were calibrated using these petrophysical relationships to provide insights into the complex spatial and temporal variations in moisture content and soil suction. This study highlights the utility of geoelectrical monitoring for assessing slope stability in the context of moisture-driven landslides.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.enggeo.2022.106613
ISSN:	00137952
Date made live:	05 Apr 2022 12:55 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/532412

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.enggeo.2022.106613

ISSN:

00137952

Date made live:

05 Apr 2022 12:55 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/532412