Electrical geophysical techniques are increasingly utilized for delineation of seawater intrusion patterns in coastal aquifers. Geophysical data can be utilized in groundwater models for calibration and verification. In these models, geophysical signal is converted into hydraulic variables, and vice versa, using a petrophysical relationship. However, the use of separate numerical codes limits the applicability and is prone to conversion, interpolation or simulation errors, caused by the necessity of transfer of information between programmes. In-house software, on the contrary, has been used to perform coupled models, but are usually limited to synthetic and simple hydrogeological models. In this work we present a coupled modelling methodology, using a finite element code, which can be adapted to complex hydrogeological scenarios that can include heterogeneities, anisotropies, variable saturation or topographic effects. The approach overcomes limitations of back-forward mapping between codes as the petrophysical relationship is defined on a shared domain and accommodates spatially distributed parameters and state variables. As a result, both models are structurally coupled and solved at the same time in a single run. This is an important first step for the development of a coupled hydrogeophysical inversion procedure to be applied to real-world field studies in complex seawater intrusion scenarios.


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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(01), 54–62
    [Google Scholar]
  2. Blome, M., Maurer, H.R. and Schmidt, K.
    [2009]. Advances in three-dimensional geoelectric forward solver techniques. Geophysical Journal International, 176(3), 740–752.
    [Google Scholar]
  3. Comte, J.C., Wilson, C., Ofterdinger, U. and González-Quirós, A.
    [2017]. Effect of volcanic dykes on coastal groundwater flow and saltwater intrusion: A field-scale multiphysics approach and parameter evaluation. Water Resources Research, 53(3), 2171–2198.
    [Google Scholar]
  4. Dey, A., and Morrison, H.F.
    [1979]. Resistivity modelling for arbitrarily shaped two‐dimensional structures. Geophysical Prospecting, 27(1), 106–136.
    [Google Scholar]
  5. Henry, H.R.
    [1964]. Effects of dispersion on salt encroachment in coastal aquifers, in" Seawater in Coastal Aquifers". US Geological Survey, Water Supply Paper, 1613, C70–C80.
    [Google Scholar]
  6. Günther, T. and Rücker, C.
    [2015]. Boundless Electrical Resistivity Tomography BERT 2–user tutorial.
    [Google Scholar]
  7. Hinnell, A.C., Ferré, T. P. A., Vrugt, J.A., Huisman, J.A., Moysey, S., Rings, J. and Kowalsky, M.B.
    [2010]. Improved extraction of hydrologic information from geophysical data through coupled hydrogeophysical inversion. Water Resources Research, 46(4).
    [Google Scholar]
  8. Linde, N., Renard, P., Mukerji, T. and Caers, J.
    [2015]. Geological realism in hydrogeological and geophysical inverse modeling: A review. Advances in Water Resources, 86, 86–101.
    [Google Scholar]
  9. Nguyen, F., Kemna, A., Antonsson, A., Engesgaard, P., Kuras, O., Ogilvy, R., Gisbert, J., Jorreto, S. and Pulido-Bosch, A.
    [2009], Characterization of seawater intrusion using 2D electrical imaging, Near Surface Geophysics, 7(5–6), 377–390.
    [Google Scholar]
  10. Oldenburg, D.W., & Li, Y.
    [1999]. Estimating depth of investigation in DC resistivity and IP surveys. Geophysics, 64(2), 403–416.
    [Google Scholar]
  11. Xu, S.Z., Duan, B.C. and Zhang, D.H.
    [2000]. Selection of the wavenumber k using an optimization method for the inverse Fourier transform in 2.5D electrical modelling, Geophy. Prosp, 48, 789–796.
    [Google Scholar]

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