Abstract
Development and testing of displacement inversion to track electrode movements on 3-D electrical resistivity tomography monitoring grids
Highlights
Geoelectrical methods are increasingly being applied to investigate active landslides (Jongmans & Garambois 2007; Grandjean et al 2009; Chambers et al 2011; Hibert et al 2012; Gunn et al 2013; Merritt et al 2014) and engineered earthworks vulnerable to failure (Chambers et al 2008; Donohue et al 2011; Fortier et al 2011)
SUMMARY Electrodes installed on active landslides and vulnerable earthworks to monitor changes in resistivity associated with moisture dynamics can be subject to movement
This paper demonstrates the selection of appropriate electrical resistivity tomography (ERT) measurements to provide sensitivity to electrode displacements in both directions on a surface grid
Summary
Geoelectrical methods are increasingly being applied to investigate active landslides (Jongmans & Garambois 2007; Grandjean et al 2009; Chambers et al 2011; Hibert et al 2012; Gunn et al 2013; Merritt et al 2014) and engineered earthworks vulnerable to failure (Chambers et al 2008; Donohue et al 2011; Fortier et al 2011). We develop a Gauss–Newton inversion method to predict these displacements solely from the time-lapse ratios of ERT data, employing damping constraints on the total displacement and any uphill movement This method, based on a forward response model for a homogeneous subsurface, is applied to both synthetic data and measurements from laboratory tank experiments to British Geological Survey C NERC 2015. Demonstrate that the inversion can recover electrode displacements with sufficient accuracy to remove most of the distortions in the ERT images caused by electrode movements This remains true even when the experiment incorporates a subsurface gravel slope to provide a realistic heterogeneous resistivity distribution. The ability to obtain simultaneous high-frequency time-lapse information on both the hydrogeophysical state of the subsurface and the movement of the surface remotely via ERT measurements will provide important new capability for investigating and monitoring the stability of natural and artificial slopes (Wilkinson et al 2010; Chambers et al 2014; Supper et al 2014)
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