Predicting the movements of permanently installed electrodes on an active landslide using time-lapse geoelectrical resistivity data only

Details Predicting the movements of permanently installed electrodes on an active landslide using time-lapse geoelectrical resistivity data only Predicting the movements of permanently installed electrodes on an active landslide using time-lapse geoelectrical resistivity data only

Nov 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010geoji.183..543w&link_type=abstract

Geophysical Journal International, Volume 183, Issue 2, pp. 543-556.

Physics

Geophysics

2

Time Series Analysis, Inverse Theory, Tomography, Hydrogeophysics

Scientific paper

If electrodes move during geoelectrical resistivity monitoring and their new positions are not incorporated in the inversion, then the resulting tomographic images exhibit artefacts that can obscure genuine time-lapse resistivity changes in the subsurface. The effects of electrode movements on time-lapse resistivity tomography are investigated using a simple analytical model and real data. The correspondence between the model and the data is sufficiently good to be able to predict the effects of electrode movements with reasonable accuracy. For the linear electrode arrays and 2-D inversions under consideration, the data are much more sensitive to longitudinal than transverse or vertical movements. Consequently the model can be used to invert the longitudinal offsets of the electrodes from their known baseline positions using only the time-lapse ratios of the apparent resistivity data. The example data sets are taken from a permanently installed electrode array on an active lobe of a landslide. Using two sets with different levels of noise and subsurface resistivity changes, it is found that the electrode positions can be recovered to an accuracy of 4 per cent of the baseline electrode spacing. This is sufficient to correct the artefacts in the resistivity images, and provides for the possibility of monitoring the movement of the landslide and its internal hydraulic processes simultaneously using electrical resistivity tomography only.

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