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@PHDTHESIS{Tang:850940,
      author       = {Tang, Qi},
      title        = {{C}haracterization of spatial-temporal varying riverbed
                      hydraulic conductivity and its role on the estimation of
                      river-aquifer exchangefluxes with data assimilation},
      volume       = {429},
      school       = {RWTH Aachen},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2018-04671},
      isbn         = {978-3-95806-339-6},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {xv, 117 S.},
      year         = {2018},
      note         = {RWTH Aachen, Diss., 2018},
      abstract     = {Interactions between surface water and groundwater play an
                      essential role in hydrology, hydrogeology, ecology, and
                      water resources management. When modelling the river-aquifer
                      interactions, a proper characterization of riverbed
                      properties such as the riverbed topography and the riverbed
                      hydraulic conductivity (Krb) can be important for the
                      prediction of exchange fluxes between a river and an
                      aquifer. These riverbed properties are changing in time and
                      space. Specifically, flood events may change the riverbed
                      elevation as well as the riverbed texture and structure,
                      which in turn can influence the Krb and river-aquifer
                      exchange fluxes. One main objective of this PhD-work was to
                      investigate the role of different Krb patterns on prediction
                      of hydrologic states and river-aquifer exchange fluxes and
                      to evaluate methodologies for improving the characterization
                      of the spatial and temporal variability of Krb, in
                      combination with different conceptualizations of the
                      heterogeneity of the riverbed. In particular, it was
                      evaluated whether variants of the Ensemble Kalman Filter
                      (EnKF), an ensemble based data assimilation technique, can
                      reproduce such interactions. EnKF is commonly used in
                      subsurface flow and transport modelling for estimating
                      states and parameters. However, EnKF only performs optimally
                      for multi-Gaussian distributed parameter fields, but the
                      spatial distribution of Krb often shows complex
                      non-multi-Gaussian patterns, which are related to flow
                      velocity dependent sedimentation and erosion processes. In
                      this work, multiple types of heterogeneous Krb patterns,
                      based on different geostatistical models, were evaluated and
                      compared.},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2018091906},
      url          = {https://juser.fz-juelich.de/record/850940},
}