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@PHDTHESIS{Qu:202688,
      author       = {Qu, Wei},
      title        = {{C}haracterization of soil water content variability at the
                      catchment scale using sensor network and stochastic
                      modelling},
      volume       = {271},
      school       = {Universität Bonn},
      type         = {Dr.},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2015-04872},
      isbn         = {978-3-95806-067-8},
      series       = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
                      Umwelt / Energy $\&$ Environment},
      pages        = {XVI, 123 S.},
      year         = {2015},
      note         = {Universität Bonn, Diss., 2015},
      abstract     = {Wireless sensor network technology has recently been used
                      for high spatial and temporal resolution soil water content
                      measurements to facilitate better understanding of
                      hydrological processes in catchment scale. Its performance
                      strongly depends on the quality of the sensorsand the number
                      of sensor nodes. In the first paper, the newly developed
                      SPADE soil water content sensor was calibrated using a
                      two-step laboratory-based procedure using dielectric
                      reference liquids. The sensor accuracy was evaluated in
                      terms of sensor-to-sensor variability and temperature
                      effect. Using sensor-specific calibration significantly
                      improved the estimation of apparent dielectric permittivity
                      as compared to using a universal calibration function. The
                      transferability of the temperature correction function from
                      reference liquids to soils was successful and has been
                      verified with undisturbed soil samples. A site-specific
                      petrophysical model (complex refraction index model, CRIM)
                      was used to convert apparent dielectric permittivity into
                      soil water content using 15 soil samples from the
                      Rollesbroichcatchment, with RMSE values of 0.028, 0.025, and
                      0.022 cm$^{3}$cm$^{-3}$ for 5, 20, and 50 cm, respectively.
                      [...]},
      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)11 / PUB:(DE-HGF)3},
      urn          = {urn:nbn:de:0001-2015071631},
      url          = {https://juser.fz-juelich.de/record/202688},
}