Electrical resistivity tomography is a method that provides a spatial-temporal characterization of the subsurface. In this project, the method is used to monitor a potato field, characterized by a microtopography composed of furrows and ridges. Nevertheless, changes of this micro-topography due to erosion during the growing season could lead to artefacts in the inverted resistivity distribution.

To quantify this effect, we first used a hydraulic model with non-uniform infiltration patterns and converted the obtained soil moistures in bulk resistivities. We then conducted a forward modelling with a decrease of the ridge height in the mesh. Afterwards, we used the initial microtopography of the start of the growing season in the inversion and compared the retrieved resistivity distributions to the ones of the hydraulic model. We also compared different array configurations to assess which array is most suitable to retrieve the expected infiltration pattern.

Gradient and Wenner configuration were performing best with a coefficient determination coefficient close to 0.9 and a RMS close to 1. The change of ridge height highly impacted the coefficient of determination once the decrease is above 6 cm. Nevertheless, pattern between furrows and ridges can still be retrieved qualitatively up until a decrease of 10 cm.


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  1. Archie, G.E.
    [1942] The electrical resistivity log as an aid in determining some reservoir characteristics. Transactions of the AIME, 146, 54–62.
    [Google Scholar]
  2. Garré, S., Coteur, I., Wongleecharoen, C., Kongkaew, T., Diels, J. and Vanderborght, J.
    [2012] Noninvasive Monitoring of Soil Water Dynamics in Mixed Cropping Systems: A Case Study in Ratchaburi Province, Thailand.
    [Google Scholar]
  3. Garré, S., Günther, T., Diels, J. and Vanderborght, J.
    [2011] Evaluating Experimental Design of ERT for Soil Moisture Monitoring in Contour Hedgerow Intercropping Systems.
    [Google Scholar]
  4. Günther, T., Rücker, C. and Spitzer, K.
    [2006] Three-dimensional modelling and inversion of dc resistivity data incorporating topography - II. Inversion. Geophysical Journal International, 166(2), 495–505.
    [Google Scholar]
  5. Rücker, C., Günther, T. and Spitzer, K.
    [2006] Three-dimensional modelling and inversion of dc resistivity data incorporating topography - I. Modelling. Geophysical Journal International, 166(2), 495–505.
    [Google Scholar]
  6. Rücker, C., Günther, T. and Wagner, F.M.
    [2017] pyGIMLi: An open-source library for modelling and inversion in geophysics. Computers and Geosciences, 109 (July), 106–123.
    [Google Scholar]
  7. Saffigna, P.G., Tanner, C.B. and Keeney, D.R.
    [1976] Non-Uniform Infiltration Under Potato Canopies Caused by Interception, Stemflow, and Hilling. Agronomy Journal, 68(2), 337.
    [Google Scholar]
  8. Simunek, J., van Genuchten, M.T. and Sejna, M.
    [2008] Development and Applications of the HYDRUS and STANMOD Software Packages and Related Codes. Vadose Zone Journal, 7(2), 587.
    [Google Scholar]
  9. Tikhonov, A. and Arsenin, V.Y.
    [1977] Methods for solving ill-posed problems. John Wiley and Sons, Inc.
    [Google Scholar]
  10. Tong, L. and Yang, C.
    [1990] Incorporation of topography into two dimensional resistivity inversion. GEOPHYSICS, 55(3), 354–361.
    [Google Scholar]
  11. Tsourlos, P.I., Szymanski, J.E. and Tsokas, G.N.
    [1999] The effect of terrain topography on commonly used resistivity arrays. GEOPHYSICS, 64(5), 1357–1363.
    [Google Scholar]
  12. Zwaenepoel, P. and Bars, J.M.L.
    [2010] L’agriculture de précision.
    [Google Scholar]

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