Long-term geoelectrical monitoring of landslides in natural and engineered slopes

Chambers, Jonathan; Holmes, Jessica; Whiteley, Jim; Boyd, James; Meldrum, Philip; Wilkinson, Paul; Kuras, Oliver; Swift, Russell; Harrison, Harry; Glendinning, Stephanie; Stirling, Ross; Huntley, David; Slater, Nick; Donohue, Shane. 2022 Long-term geoelectrical monitoring of landslides in natural and engineered slopes. The Leading Edge, 41 (11). 768-776. https://doi.org/10.1190/tle41110768.1

Before downloading, please read NORA policies.

Preview

Text (Open Access Paper)
tle41110768.1.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Download (4MB) | Preview

Official URL: http://dx.doi.org/10.1190/tle41110768.1

Abstract/Summary

Developments in time-lapse electrical resistivity tomography (ERT) technology are transforming our ability to monitor the subsurface due to purpose-built monitoring instruments, advances in automation and modeling, and the resulting improvements in spatial and temporal resolution. We describe the development of a novel ERT-based remote monitoring system called PRIME that integrates new low-power measurement instrumentation with data delivery, automated data processing and image generation, and web-based information delivery. Due to the sensitivity of ERT to hydrologic processes in the near surface, we focus on the application of PRIME for moisture-driven landslide monitoring. Case examples are considered of landslides in engineered and natural slopes, including those impacting geotechnical assets in rail and highways, where slope hydrology is seen to be controlled by lithology, vegetation, fissuring, and drainage structures. We conclude by taking a forward look at emerging developments in ERT monitoring relating to hardware, software and modeling, and applications.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1190/tle41110768.1
ISSN:	1070-485X
Date made live:	14 Nov 2022 14:42 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533542

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1190/tle41110768.1

ISSN:

1070-485X

Date made live:

14 Nov 2022 14:42 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/533542