% 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”.

@ARTICLE{Li:57153,
      author       = {Li, W. and Englert, A. and Cirpka, O.A. and Vanderborght,
                      J. and Vereecken, H.},
      title        = {{T}wo-dimensional characterization of hydraulic
                      heterogeneity by multiple pumping tests},
      journal      = {Water resources research},
      volume       = {43},
      issn         = {0043-1397},
      address      = {Washington, DC},
      publisher    = {AGU},
      reportid     = {PreJuSER-57153},
      pages        = {WO04433},
      year         = {2007},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {[1] The conventional analysis of pumping tests by
                      type-curve methods is based on the assumption of a
                      homogeneous aquifer. Applying these techniques to pumping
                      test data from real heterogeneous aquifers leads to
                      estimates of the hydraulic parameters that depend on the
                      choice of the pumping and observation well positions. In
                      this paper, we test whether these values may be viewed as
                      pseudo-local values of transmissivity and storativity, which
                      can be interpolated by kriging. We compare such estimates to
                      those obtained by geostatistical inverse modeling, where
                      heterogeneity is assumed in all stages of estimation. We use
                      drawdown data from multiple pumping tests conducted at the
                      test site in Krauthausen, Germany. The geometric mean values
                      of transmissivity and storativity determined by type-curve
                      analysis are very close to those obtained by geostatistical
                      inversion, but the conventional approach failed to resolve
                      the spatial variability of transmissivity. In contrast, the
                      estimate from geostatistical inversion reveals more
                      structure. This indicates that the estimates of the
                      type-curve approaches can not be treated as pseudo-local
                      values. Concerning storativity, both analysis methods show
                      strong fluctuations. Because the variability of all terms
                      making up the storativity is small, we believe that the
                      estimated variability of storativity is biased. We examine
                      the influence of measurement error on estimating structural
                      parameters of covariance functions in the inversion. We
                      obtain larger correlation lengths and smaller prior
                      variances if we trust the measured data less.},
      keywords     = {J (WoSType)},
      cin          = {ICG-4 / JARA-ENERGY / JARA-SIM},
      ddc          = {550},
      cid          = {I:(DE-Juel1)VDB793 / $I:(DE-82)080011_20140620$ /
                      I:(DE-Juel1)VDB1045},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Environmental Sciences / Limnology / Water Resources},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000246147700002},
      doi          = {10.1029/2006WR005333},
      url          = {https://juser.fz-juelich.de/record/57153},
}