Options
Application of petrophysical relationships to electrical resistivity models for assessing the stability of a landslide in British Columbia, Canada
Date Issued
2022-05
Date Available
2024-05-27T11:07:53Z
Abstract
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.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Elsevier
Journal
Engineering Geology
Volume
301
Copyright (Published Version)
2022 British Geological Survey
Language
English
Status of Item
Peer reviewed
ISSN
0013-7952
This item is made available under a Creative Commons License
File(s)
Loading...
Name
1-s2.0-S0013795222000989-main.pdf
Size
3.31 MB
Format
Adobe PDF
Checksum (MD5)
11a4e0c983d6b9c70975ff9e977a84d3
Owning collection