1887

Abstract

Summary

Electrical resistivity tomography (ERT) method was suggested to monitor a critical section of the Parma river levee in Colorno, Italy. The site had experienced a leakage in 2017 and the damaged zone was repaired with a clay-rich material that was different from the existing old parts of the levee. The customized monitoring system supports 48 electrodes that are spaced 2m and buried at 0.5m depth. Meteorological sensors were also integrated with the ERT system to monitor rainfall and temperature variations. We discuss the most important data processing steps and long-term analysis of the ERT monitoring data for a two-year period. Raw data were processed before inversion to remove the 3D effects related to the specific geometry of the levee. Inverted data were then corrected for seasonal temperature variations. Observing average resistivity trends, a reasonable response to rainfalls is observed inside the embankment with no indication of any anomalous behavior that could compromise the levee’s stability.

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/content/papers/10.3997/2214-4609.202520239
2025-09-07
2026-02-15
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References

  1. Aleardi, M., Vinciguerra, A., Stucchi, E. and Hojat, A. [2022] Probabilistic inversions of electrical resistivity tomography data with a machine learning-based forward operator. Geophysical Prospecting, 70(5), 938–957, https://doi.org/10.1111/1365-2478.13189.
    [Google Scholar]
  2. Chambers, J. E., Gunn, D. A., Wilkinson, P. B., Meldrum, P. I., Haslam, E., Holyoake, S., Kirkham, M., Kuras, O., Merritt, A. and Wragg, J. [2014] 4D electrical resistivity tomography monitoring of soil moisture dynamics in an operational railway embankment. Near Surface Geophysics, 12(1), 61–72, https://doi.org/10.3997/1873-0604.2013002.
    [Google Scholar]
  3. Hayley, K., Bentley, L. R., Gharibi, M. and Nightingale, M. [2007] Low temperature dependence of electrical resistivity: Implications for near surface geophysical monitoring. Geophysical Research Letters, 34(18), https://doi.org/10.1029/2007GL031124.
    [Google Scholar]
  4. Hojat, A. [2024] An iterative 3D correction plus 2D inversion procedure to remove 3D effects from 2D ERT data along embankments. Sensors24(12), 3759, https://doi.org/10.3390/s24123759.
    [Google Scholar]
  5. Hojat, A., Arosio, D., Di Luch, I., Ferrario, M., Ivanov, V.I., Longoni, L., Madaschi, A., Papini, M., Tresoldi, G. and Zanzi, L. [2019a] Testing ERT and fiber optic techniques at the laboratory scale to monitor river levees. 25th European Meeting of Environmental and Engineering Geophysics, The Hague, Netherlands, https://doi.org/10.3997/2214-4609.201902440.
    [Google Scholar]
  6. Hojat, A., Arosio, D., Longoni, L., Papini, M., Tresoldi, G. and Zanzi, L. [2019b] Installation and validation of a customized resistivity system for permanent monitoring of a river embankment. EAGE-GSM 2nd Asia Pacific Meeting on Near Surface Geoscience and Engineering, Kuala Lumpur. https://doi.org/10.3997/2214-4609.201900421.
    [Google Scholar]
  7. Hojat, A., Zanzi, L., Tresoldi, G. and Loke, M.H. [2025] Forward modelling simulations to validate changes in electrical resistivity tomography monitoring data for a slope with complex geology. Geosciences, 15(1), 33, https://doi.org/10.3390/geosciences15010033.
    [Google Scholar]
  8. 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, https://doi.org/10.1016/j.jappgeo.2013.02.017.
    [Google Scholar]
  9. Moradipour, M., Ranjbar, H., Hojat, A., Karimi Nasab, S. and Daneshpajouh, S. [2016] Laboratory and field measurements of electrical resistivity to study heap leaching pad no. 3 at Sarcheshmeh copper mine. 22nd European Meeting of Environmental and Engineering Geophysics, Barcelona, Spain, https://doi.org/10.3997/2214-4609.201602140.
    [Google Scholar]
  10. Rücker, C., Günther, T. and Wagner, F. M. [2017] pyGIMLi: an open-source library for modelling and inversion in geophysics. Computers and Geosciences, 109, 106–123, doi:10.1016/j.cageo.2017.07.011.
    https://doi.org/10.1016/j.cageo.2017.07.011 [Google Scholar]
  11. Tresoldi, G., Hojat, A., Zanzi, L. [2020] G.RE.T.A. installations for real-time monitoring of irrigation dams and canals. Procedia Environmental Science, Engineering and Management7(2), 272–276. www.geotomosoft.com
    [Google Scholar]
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