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@ARTICLE{Groh:845880,
      author       = {Groh, Jannis and Stumpp, Christine and Lücke, Andreas and
                      Pütz, Thomas and Vanderborght, Jan and Vereecken, Harry},
      title        = {{I}nverse {E}stimation of {S}oil {H}ydraulic and
                      {T}ransport {P}arameters of {L}ayered {S}oils from {W}ater
                      {S}table {I}sotope and {L}ysimeter {D}ata},
      journal      = {Vadose zone journal},
      volume       = {17},
      number       = {1},
      issn         = {1539-1663},
      address      = {Madison, Wis.},
      publisher    = {SSSA},
      reportid     = {FZJ-2018-03079},
      pages        = {1 -19},
      year         = {2018},
      abstract     = {Accurate estimates of soil hydraulic parameters and
                      dispersivities are crucial to simulate water flow and solute
                      transport in terrestrial systems, particularly in the vadose
                      zone. However, parameters obtained from inverse modeling can
                      be ambiguous when identifying multiple parameters
                      simultaneously and when boundary conditions are not well
                      known. Here, we performed an inverse modeling study in which
                      we estimated soil hydraulic parameters and dispersivities of
                      layered soils from soil water content, matric potential, and
                      stable water isotope ( d 18O) measurements in weighable
                      lysimeter systems. We used different optimization strategies
                      to investigate which observation types are necessary for
                      simultaneously estimating soil hydraulic and solute
                      transport parameters. Combining water content, matric
                      potential, and tracer (e.g., d 18O) data in one objective
                      function (OF) was found to be the best strategy for
                      estimating parameters that can simulate all observed water
                      flow and solute transport variables. A sequential
                      optimization, in which first an OF with only water flow
                      variables and subsequently an OF with transport variables
                      was optimized, performed slightly worse indicating that
                      transport variables contained additional information for
                      estimating soil hydraulic parameters. Hydraulic parameters
                      that were obtained from optimizing OFs that used either
                      water contents or matric potential could not predict
                      non-measured water flow variables. When a bromide (Br−)
                      tracer experiment was simulated using the optimized
                      parameters, the arrival time of the bromide pulse was
                      underestimated. This suggested that Br− sorbed onto clay
                      minerals and amorphous oxides under the prevailing
                      geochemical conditions with low pH values. When accounting
                      for anion adsorption in the simulation, Br− concentrations
                      were well predicted, which validated the dispersivity
                      parameterization.},
      cin          = {IBG-3},
      ddc          = {550},
      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)16},
      UT           = {WOS:000437536200001},
      doi          = {10.2136/vzj2017.09.0168},
      url          = {https://juser.fz-juelich.de/record/845880},
}