1887

Abstract

Summary

Critical infrastructure assets, such as reservoir dams, are prone to failure due to age deterioration and internal erosion processes. Proactive monitoring methods are desirable to study the mechanisms of failure and catch potential faults before they escalate. Geoelectrical monitoring has emerged as a reliable, relatively non-invasive, method to identify and track potential seepage pathways in the subsurface due to its sensitivity to ground moisture content. To this end, we installed a PRIME geoelectrical monitoring instrument on the surface of an earth dam built in the UK in the 18th century. The system operated for five months acquiring a timelapse 3D sequence of the dam’s resistivity profile. The baseline resistivity profile of the dam indicates two distinct lithological areas.

Furthermore, continuous timelapse geoelectrical monitoring revealed an area on the dam surface where we observed positive resistivity changes during the drawdown of reservoir levels. Such areas are more susceptible to internal erosion and consequently failure and their early identification represents a great advantage in reducing maintenance and potential damage costs.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202520128
2025-09-07
2026-02-07
Loading full text...

Full text loading...

References

  1. Briggs, K.M., Dijkstra, T.A., Glendinning, S., DeJong, M.J., Schooling, J.M., Viggiani, G. M.B., 2019. Evaluating the deterioration of geotechnical infrastructure assets using performance curves. In: International Conference on Smart Infrastructure and Construction, 2019. https://doi.org/10.1680/icsic.64669.429.
    [Google Scholar]
  2. Fell, R., MacGregor, P., and Stapledon, D., 1992. Geotechnical engineering of embankment dams. ISBN:9789054101284. A.A.Balkema, Dutch.
    [Google Scholar]
  3. Foster, M., Fell, R., and Spannagle, M, 2000. The statistics of embankment dam failures and accidents. Canadian Geotechnical Journal, 37(5):1000–1024.doi:10.1139/t00‑030.
    https://doi.org/10.1139/t00-030 [Google Scholar]
  4. Holmes, J., Chambers, J., Wilkinson, P., Dashwood, B., Gunn, D., Cimpoiaşu, M., Kirkham, M., Uhlemann, S., Meldrum, P., Kuras, O., Huntley, D., Abbott, S., Sivakumar, V., & Donohue, S. (2022). 4D electrical resistivity tomography for assessing the influence of vegetation and subsurface moisture on railway cutting condition. Engineering Geology, 307. https://doi.org/10.1016/j.enggeo.2022.106790
    [Google Scholar]
  5. Loke, M. H., Chambers, J. E., Rucker, D. F., Kuras, O. and Wilkinson, P. B., 2013. Recent developments in the direct-current geoelectrical imaging method. Journal of Applied Geophysics, 95, 135–156.
    [Google Scholar]
  6. Loke, M. H., Wilkinson, P. B., Chambers, J. E., Uhlemann, S., Dijkstra, T., Dahlin, T., 2022. The use of asymmetric time constraints in 4-D ERT inversion. Journal of Applied Geophysics, 197, 104536.
    [Google Scholar]
  7. Samouëlian, A., Cousin, I., Tabbagh, A., Bruand, A., & Richard, G, 2005. Electrical resistivity survey in soil science: A review. Soil and Tillage Research, 83(2), 173–193. https://doi.org/10.1016/j.still.2004.10.004.
    [Google Scholar]
/content/papers/10.3997/2214-4609.202520128
Loading
/content/papers/10.3997/2214-4609.202520128
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error