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@PHDTHESIS{Yu:907377,
      author       = {Yu, Yi},
      title        = {{S}equential and coupled inversion of time-lapse borehole
                      {GPR} measurements for vadose zone model parameterization},
      volume       = {565},
      school       = {Univ. Bonn},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2022-01999},
      isbn         = {978-3-95806-607-6},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {XX, 121},
      year         = {2022},
      note         = {Dissertation, Univ. Bonn, 2021},
      abstract     = {A profound understanding of the infiltration dynamics into
                      the vadose zone is crucial to ourcapacity to link surface
                      and subsurface processes for the description of the
                      hydrologic cycle. Akey to establish reliable models
                      describing the infiltration process is the knowledge of the
                      soilhydraulic parameters. A promising approach to estimate
                      soil hydraulic parameters is inversemodeling based on
                      dynamic changes in soil water content (SWC). In this
                      context, groundpenetrating radar (GPR) has been recognized
                      as a powerful geophysical technique in vadose
                      zonehydrogeophysics, because SWC is strongly related to the
                      soil bulk permittivity that can beprecisely determined by
                      GPR. The aim of this thesis is to investigate the
                      feasibility of using timelapseGPR measurements obtained
                      during infiltration events for vadose zone
                      characterizationwith a special focus on the estimation of
                      soil hydraulic parameters.A prerequisite for estimating soil
                      hydraulic parameters based on GPR measurements
                      obtainedduring infiltration events is that the GPR
                      measurements should reliably reflect the transient
                      SWCdynamics during and after infiltration events. To verify
                      this, a 4-day infiltration experiment wasperformed at the
                      rhizotron facility in Selhausen, Germany. SWC information at
                      0.2, 0.4, 0.6, 0.8,and 1.2 m depths were obtained by
                      zero-offset profiling (ZOP) measurements from
                      horizontalborehole GPR. Unfortunately, SWC information for
                      the top 0.1 m of soil obtained by ZOPmeasurements was not
                      reliable due to the strong interference between direct and
                      refracted waves.To solve this problem, surface GPR
                      measurements were additionally conducted. Dispersiveguided
                      waves were observed in the 500 MHz surface GPR data because
                      the infiltration eventgenerated electromagnetic waveguides
                      in the top soil layer. This allowed to obtain SWCinformation
                      of the top 0.1 m soil layer through dispersion analysis of
                      the dispersive surface GPRdata. By combining surface and
                      horizontal borehole GPR measurements, the vertical
                      SWCprofiles (0 - 1.2 m) and dynamics were successfully
                      represented during and after infiltration
                      events.Additionally, it was found that the GPR-derived SWC
                      corresponded well with independentlymeasured SWC estimates
                      obtained with time domain reflectometry (TDR) and the known
                      amountof water applied in the infiltration events.},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2022051802},
      url          = {https://juser.fz-juelich.de/record/907377},
}