% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Haruzi:889958,
      author       = {Haruzi, Peleg and Zhou, Zhen and Schmäck, Jessica and
                      Hoffmann, Richard and Pouladi, Behzad and Berandie, Jerome
                      de La and Vanderborght, Jan and Vereecken, Harry and van der
                      Kruk, Jan and Klotzsche, Anja},
      title        = {{T}he potential of time-lapse {GPR} full-waveform inversion
                      as high resolution imaging technique for salt and ethanol
                      transport},
      reportid     = {FZJ-2021-00561},
      year         = {2020},
      abstract     = {Cross-hole GPR full-waveform inversion (FWI) has shown a
                      high potential to characterize the near surface at a
                      decimeter scale which is crucial for flow and transport. GPR
                      FWI provide high-resolution tomograms of dielectric
                      permittivity (ε) and electrical conductivity (EC), which
                      can be linked lithological properties. This study tests the
                      potential of time-lapse GPR FWI to monitor tracers of
                      different geophysical properties (salt, heat, ethanol).
                      Synthetic and field results show that both properties can
                      resolve the plume at decimeter- channelized transport-
                      scale.},
      month         = {Dec},
      date          = {2020-12-15},
      organization  = {Computational Methods in Water
                       Resources XXIII, Stanford (USA), 15 Dec
                       2020 - 15 Dec 2020},
      subtyp        = {After Call},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / ENIGMA - European training Network for In situ
                      imaGing of dynaMic processes in heterogeneous subsurfAce
                      environments (722028)},
      pid          = {G:(DE-HGF)POF3-255 / G:(EU-Grant)722028},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/889958},
}