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@ARTICLE{Vanderborght:46193,
      author       = {Vanderborght, J. and Kemna, A. and Hardelauf, H. and
                      Vereecken, H.},
      title        = {{P}otential of {E}lectrical {R}esistivity {T}omography to
                      {I}nfer {A}quifer {T}ransport {C}haracteristics from
                      {T}racer {S}tudies. {A} {S}ynthetic {C}ase {S}tudy},
      journal      = {Water resources research},
      volume       = {41},
      issn         = {0043-1397},
      address      = {Washington, DC},
      publisher    = {AGU},
      reportid     = {PreJuSER-46193},
      pages        = {W06013},
      year         = {2005},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {[ 1] With time-lapse electrical resistivity tomography (
                      ERT), transport processes in the subsurface can be imaged
                      and monitored. The information content of obtained
                      spatiotemporal data sets opens new ways to characterize
                      subsurface spatial variability. Difficulties regarding a
                      quantitative interpretation of the imaged transport may
                      arise from the fact that data inversion used in ERT is
                      generally underdetermined and that ERT data acquisition is
                      often limited to two-dimensional ( 2-D) image planes. To
                      address this problem, we conducted a numerical tracer
                      experiment in a synthetic heterogeneous aquifer with preset
                      variability and spatial correlation of the hydraulic
                      conductivity and monitored the tracer breakthrough in a 2-D
                      image plane perpendicular to the mean flow direction using
                      time-lapse ERT. The tracer breakthrough patterns in the
                      image plane were interpreted using equivalent transport
                      models: an equivalent convection dispersion equation to
                      characterize the spatially averaged breakthrough and a
                      stream tube model to characterize local breakthrough curves.
                      Equivalent parameters derived from simulated and from ERT
                      inverted concentrations showed a good agreement, which
                      demonstrates the potential of ERT to characterize subsurface
                      transport. Using first-order approximate solutions of
                      stochastic flow and transport equations, equivalent model
                      parameters and their spatial variability were interpreted in
                      terms of the local-scale dispersion and the spatial
                      variability of the hydraulic conductivity. The spatial
                      correlations of the stream tube velocity and of the
                      hydraulic conductivity were found to be closely related.
                      Consequently, the hydraulic conductivity spatial correlation
                      may be inferred from stream tube velocity distributions,
                      which can be observed with sufficiently high spatial
                      resolution using ERT.},
      keywords     = {J (WoSType)},
      cin          = {ICG-IV},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB50},
      pnm          = {Chemie und Dynamik der Geo-Biosphäre},
      pid          = {G:(DE-Juel1)FUEK257},
      shelfmark    = {Environmental Sciences / Limnology / Water Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000230172200003},
      doi          = {10.1029/2004WR003774},
      url          = {https://juser.fz-juelich.de/record/46193},
}