Reconstruction of landslide movements by inversion of 4‐D electrical resistivity tomography monitoring data

Wilkinson, Paul; Chambers, Jonathan; Uhlemann, S.; Meldrum, Philip; Smith, Alister; Dixon, Neil; Loke, M.H.

doi:10.1002/2015gl067494

Cited by 49 publications

(40 citation statements)

References 34 publications

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“…Wilkinson et al . (, , ) in fact used this difference to estimate the change in the electrode positions using the Jacobian matrix values of a homogeneous half‐space. Using the model from the initial dataset as the initial model for the inversion of a later‐time dataset effectively removes the effect of the common background resistivity structures.…”

Section: Resultsmentioning

confidence: 99%

“…The problem of shifts in electrode positions can frequently occur during a series of measurements in a time‐lapse survey when, for example, monitoring an active landslide (Wilkinson et al . ). The initial positions of the electrodes are usually accurately measured and can be considered as fixed parameters in the inversion of the initial dataset.…”

Section: Theorymentioning

confidence: 97%

“…Wilkinson et al . (, , ) proposed using the changes in the apparent resistivity, for data acquired from a time‐lapse survey, to estimate the changes in the electrode positions. An innovative approach for 2D resistivity surveys was presented by Kim (), where the least squares optimisation method was modified to include both the subsurface resistivity and electrode positions as unknown variables to be determined.…”

Section: Introductionmentioning

confidence: 99%

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Rapid inversion of data from 2D resistivity surveys with electrode displacements

Loke¹,

Wilkinson

Chambers

et al. 2017

Geophysical Prospecting

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Resistivity monitoring surveys are used to detect temporal changes in the subsurface using repeated measurements over the same site. The positions of the electrodes are typically measured at the start of the survey program and possibly at occasional later times. In areas with unstable ground, such as landslide‐prone slopes, the positions of the electrodes can be displaced by ground movements. If this occurs at times when the positions of the electrodes are not directly measured, they have to be estimated. This can be done by interpolation or, as in recent developments, from the resistivity data using new inverse methods. The smoothness‐constrained least squares optimisation method can be modified to include the electrode positions as additional unknown parameters. The Jacobian matrices with the sensitivity of the apparent resistivity measurements to changes in the electrode positions are then required by the optimisation method. In this paper, a fast adjoint‐equation method is used to calculate the Jacobian matrices required by the least squares method to reduce the calculation time. In areas with large near‐surface resistivity contrasts, the inversion routine sometimes cannot accurately distinguish between electrode displacements and subsurface resistivity variations. To overcome this problem, the model for the initial time‐lapse dataset (with accurately known electrode positions) is used as the starting model for the inversion of the later‐time dataset. This greatly improves the accuracy of the estimated electrode positions compared to the use of a homogeneous half‐space starting model. In areas where the movement of the electrodes is expected to occur in a fixed direction, the method of transformations can be used to include this information as an additional constraint in the optimisation routine.

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Section: Resultsmentioning

confidence: 99%

Section: Theorymentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Rapid inversion of data from 2D resistivity surveys with electrode displacements

Loke¹,

Wilkinson

Chambers

et al. 2017

Geophysical Prospecting

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“…The study involved several other novel aspects beyond the incorporation of 3‐D data acquisition. First, inversion models were able to account for movement experienced by the electrodes in the sliding mass (Wilkinson et al, ), which can introduce significant errors in the data if not accounted for. Additionally, the resistivity data were converted to gravimetric moisture content (GMC) by fitting of a Waxman‐Smits model (Waxman & Smits, ) to laboratory experiments of wetting and drying of samples obtained from the site (Merritt et al, ).…”

Section: Geophysical Monitoring Of Landslides: Methods and Case Studiesmentioning

confidence: 99%

Geophysical Monitoring of Moisture‐Induced Landslides: A Review

Whiteley

Chambers

Uhlemann

et al. 2019

Reviews of Geophysics

194

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Geophysical monitoring of landslides can provide insights into spatial and temporal variations of subsurface properties associated with slope failure. Recent improvements in equipment, data analysis, and field operations have led to a significant increase in the use of such techniques in monitoring. Geophysical methods complement intrusive approaches, which sample only a very small proportion of the subsurface, and walk-over or remotely sensed data, which principally provide information only at the ground surface. In particular, recent studies show that advances in geophysical instrumentation, data processing, modeling, and interpretation in the context of landslide monitoring are significantly improving the characterization of hillslope hydrology and soil and rock hydrology and strength and their dynamics over time. This review appraises the state of the art of geophysical monitoring, as applied to moisture-induced landslides. Here we focus on technical and practical uses of time-lapse methods in geophysics applied to monitoring moisture-induced landslide. The case studies identified in this review show that several geophysical techniques are currently used in the monitoring of subsurface landslide processes. These geophysical contributions to monitoring and predicting the evolution of landslide processes are currently underrealized. Hence, the further integration of multiple-parametric and geotechnically coupled geophysical monitoring systems has considerable potential. The complementary nature of certain methods to map the distribution of subsurface moisture and elastic moduli will greatly increase the predictive and monitoring capacity of early warning systems in moisture-induced landslide settings. Figure 4. The geophysical methods identified in the 31 case studies, shown by mode of acquisition and method. The acronyms for each method are shown in the lower boxes.

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“…; Wilkinson et al . ) and joint inversion correlated with other geophysical parameters (e.g., Linde et al . ; Doetsch et al .…”

Section: Introductionmentioning

confidence: 94%

Electrical Resistivity Tomography with Angular Separation for Characterization of Burial Mounds in Southern China

et al. 2018

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The study aims at providing the spatial distribution and potential structure of the burial mounds at the Sifangling site, Hepu Han Tombs, in southern China. We implemented an electrical resistivity tomography (ERT) technique to obtain high-resolution imaging of archaeological targets, considering the challenging environment and the depth of the burials. Three ERT profiles were tested above a small ancient mound previously detected by exhaustive archaeological drillings, following which 18 ERT profiles with angular separation were performed on the largest mound at the test site, without any a priori archaeological evidence below the surface. Then, a series of two-dimensional (2D) profiles were combined as a 'pseudo-3D' volume, which allowed a detailed characterization of the burial mound, and iso-resistivity surfaces were also calculated to emphasize the location and spatial extent of the target. The results gave an effective identification of the funeral chamber and its structural details, and allowed detailed pre-excavation planning.

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Reconstruction of landslide movements by inversion of 4‐D electrical resistivity tomography monitoring data

Cited by 49 publications

References 34 publications

Rapid inversion of data from 2D resistivity surveys with electrode displacements

Rapid inversion of data from 2D resistivity surveys with electrode displacements

Geophysical Monitoring of Moisture‐Induced Landslides: A Review

Electrical Resistivity Tomography with Angular Separation for Characterization of Burial Mounds in Southern China

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