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@ARTICLE{Beaujean:172070,
      author       = {Beaujean, J. and Nguyen, F. and Kemna, A. and Antonsson, A.
                      and Engesgaard, P.},
      title        = {{C}alibration of seawater intrusion models: {I}nverse
                      parameter estimation using surface electrical resistivity
                      tomography and borehole data},
      journal      = {Water resources research},
      volume       = {50},
      number       = {8},
      issn         = {0043-1397},
      address      = {Washington, DC},
      publisher    = {AGU},
      reportid     = {FZJ-2014-05614},
      pages        = {6828 - 6849},
      year         = {2014},
      abstract     = {Electrical resistivity tomography (ERT) can be used to
                      constrain seawater intrusion models because of its high
                      sensitivity to total dissolved solid contents (TDS) in
                      groundwater and its relatively high lateral coverage.
                      However, the spatial variability of resolution in electrical
                      imaging may prevent the correct recovery of the desired
                      hydrochemical properties such as salt mass fraction. This
                      paper presents a sequential approach to evaluate the
                      feasibility of identifying hydraulic conductivity and
                      dispersivity in density-dependent flow and transport models
                      from surface ERT-derived mass fraction. In the course of
                      this study, geophysical inversion was performed by using a
                      smoothness constraint Tikhonov approach, whereas the
                      hydrological inversion was performed using a gradient-based
                      Levenberg-Marquardt algorithm. Two synthetic benchmarks were
                      tested. They represent a pumping experiment in a homogeneous
                      and heterogeneous coastal aquifer, respectively. These
                      simulations demonstrated that only the lower salt mass
                      fraction of the seawater-freshwater transition zone can be
                      recovered for different times. This ability has here been
                      quantified in terms of cumulative sensitivity and our study
                      has further demonstrated that the mismatch between the
                      targeted and the recovered salt mass fraction occurs from a
                      certain threshold. We were additionally able to explore the
                      capability of sensitivity-filtered ERT images using ground
                      surface data only to recover (in both synthetic cases) the
                      hydraulic conductivity while the dispersivity is more
                      difficult to estimate. We attribute the latter mainly to the
                      lack of ERT-derived data at depth (where resolution is
                      poorer) as well as to the smoothing effect of the ERT
                      inversion.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {246 - Modelling and Monitoring Terrestrial Systems: Methods
                      and Technologies (POF2-246)},
      pid          = {G:(DE-HGF)POF2-246},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000342632300034},
      doi          = {10.1002/2013WR014020},
      url          = {https://juser.fz-juelich.de/record/172070},
}