Wilkinson et al_GRL_Jan 2016.pdf (1.29 MB)
Download fileReconstruction of landslide movements by inversion of 4D electrical resistivity tomography monitoring data
journal contribution
posted on 2016-03-03, 14:25 authored by Paul Wilkinson, J. Chambers, S. Uhlemann, Philip Meldrum, Alister SmithAlister Smith, Neil Dixon, Meng H. LokeReliable tomographic inversion of geoelectrical monitoring data from unstable slopes relies critically
on knowing the electrode positions, which may move over time. We develop and present an innovative inverse
method to recover movements in both surface directions from geoelectrical measurements made on a grid
of monitoring electrodes. For the first time, we demonstrate this method using field data from an active landslide
to recover sequences of movement over timescales of days to years. Comparison with GPS measurements
demonstrated an accuracy of within 10% of the electrode spacing, sufficient to correct the majority of artifacts
that would occur in subsequent image reconstructions if incorrect positions are used. Over short timescales
where the corresponding subsurface resistivity changes were smaller, the constraints could be relaxed and an
order-of-magnitude better accuracy was achievable. This enabled the onset and acceleration of landslide activity
to be detected with a temporal resolution of a few days.
Funding
P.W., J.C., S.U., and P.M. were supported by the Natural Environment Research Council (NERC). A.S. and N.D. were supported by the Engineering and Physical Sciences Research Council.
History
School
- Architecture, Building and Civil Engineering
Published in
Geophysical Research LettersVolume
43Issue
3Pages
1166-1174Citation
WILKINSON, P. ... et al., 2016. Reconstruction of landslide movements by inversion of 4D electrical resistivity tomography monitoring data. Geophysical Research Letters, 43 (3), pp. 1166–1174.Publisher
American Geophysical Union (AGU) ; Wiley © The AuthorsVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/Acceptance date
2016-01-19Publication date
2016-02-13Copyright date
2016Notes
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.ISSN
0094-8276eISSN
1944-8007Publisher version
Language
- en