% 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”.

@PHDTHESIS{Busch:150769,
      author       = {Busch, Sebastian},
      title        = {{F}ull-waveform inversion of surface ground penetrating
                      radar data and coupled hydrogeophysical inversion for soil
                      hydraulic property estimation},
      volume       = {202},
      school       = {RWTH Aachen},
      type         = {Dr.},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2014-00814},
      isbn         = {978-3-89336-930-0},
      series       = {Schriftenreihe des Forschungszentrums Jülich Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {X, 110 S.},
      year         = {2013},
      note         = {RWTH Aachen, Diss., 2013},
      abstract     = {Non-invasive electromagnetic methods are increasingly
                      applied for a wide range of applications in geophysical
                      engineering, infrastructure characterization and
                      environmental and hydrological studies. A variety of
                      geophysical techniques are routinely used to estimate medium
                      properties, monitor shallow soil conditions and provide
                      valuable estimates of soil water content and the soil
                      hydraulic parameters needed for the understanding of the
                      highly dynamic hydrological processes in the subsurface.
                      Traditionally, estimates of the soil water content are
                      obtained using the subsurface permittivity and conductivity
                      in combination with petrophysical relationships such as the
                      Complex Refractive Index Model (CRIM) or empirical
                      relationships such as Topp's equation and Archie's law.
                      Here, especially surface ground penetrating radar (GPR) is a
                      technique that enables a quick and effective mapping of the
                      subsurface dielectric permittivity. Although GPR has the
                      potential to return permittivities and conductivities for
                      the same sensing volume at the field scale, estimates of the
                      conductivity based on conventional ray-based techniques that
                      only use part of the measured data and simplified
                      approximations of the reality contain relatively large
                      errors. Full-waveform inversion (FWI) overcomes these
                      limitations by using an accurate forward modeling and
                      inverts significant parts of the measured data to return
                      reliable quantitative estimates of both permittivity and
                      conductivity.In this work, we introduce a novel
                      full-waveform inversion scheme that is able to reliably
                      estimate permittivity and conductivity values from surface
                      GPR data. It is based on a frequency-domain solution of
                      Maxwell’s equations including far-, intermediate- and
                      near-fields assuming a three-dimensional, horizontally
                      layered model of the subsurface, and requires a starting
                      model of the subsurface properties as well as the estimation
                      of a source wavelet. Although the full-waveform inversion is
                      relatively independent of the permittivity starting model,
                      inaccuracies in the conductivity starting model result in
                      erroneous effectivewavelet amplitudes and therefore in
                      erroneous inversion results, since the conductivity and
                      wavelet amplitudes are coupled. Therefore, the permittivity
                      and conductivity are updated simultaneously with the phase
                      and amplitude of the source wavelet. Here, optimizing the
                      medium properties and reducing the misfit is carried out
                      using a gradient free approach. This novel FWI is applied
                      the analysis of ground waves and reflected waves. In the
                      case of synthetic single layered and waveguide data, where
                      the starting model differs significantly from the true model
                      parameter, we were able to reconstruct the obtained model
                      properties and the effective source wavelet. For measured
                      waveguide data, different starting values returned the same
                      quantitative medium properties and a data-driven effective
                      source wavelet. ...},
      keywords     = {Dissertation (GND)},
      cin          = {IBG-3},
      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)11},
      url          = {https://juser.fz-juelich.de/record/150769},
}