% 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{Bayat:255933,
      author       = {Bayat, Hossein and Rastgo, Mostafa and Mansouri Zadeh,
                      Moharram and Vereecken, Harry},
      title        = {{P}article size distribution models, their characteristics
                      and fitting capability},
      journal      = {Journal of hydrology},
      volume       = {529},
      issn         = {0022-1694},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2015-06012},
      pages        = {872 - 889},
      year         = {2015},
      abstract     = {Many attempts have been made to characterize particle size
                      distribution (PSD) curves using different mathematical
                      models, which are primarily used as a basis for estimating
                      soil hydraulic properties. The principle step in using soil
                      PSD to predict soil hydraulic properties is determining an
                      accurate and continuous curve for PSD. So far, the
                      characteristics of the PSD models, their fitting accuracy,
                      and the effects of their parameters on the shape and
                      position of PSD curves have not been investigated. In this
                      study all developed PSD models, their characteristics,
                      behavior of their parameters, and their fitting capability
                      to the UNSODA database soil samples were investigated.
                      Results showed that beerkan estimation of soil transfer
                      (BEST), two and three parameter Weibull, Rosin and Rammler
                      (1 and 2), unimodal and bimodal Fredlund, and van Genuchten
                      models were flexible over the entire range of soil PSD.
                      Correspondingly, the BEST, two and three parameter Weibull,
                      Rosin and Rammler (1 and 2), hyperbolic and offset
                      renormalized log-normal models possessed a high fitting
                      capability over the entire range of PSD. The few parameters
                      of the BEST, Rosin and Rammler (1 and 2), and two parameter
                      Weibull models provides ease of use in soil physics and
                      mechanics research. Thus, they are seemingly fit with
                      acceptable accuracy in predicting the PSD curve. Although
                      the fractal models have physical and mathematical basis,
                      they do not have the adequate flexibility to contribute a
                      description of the PSD curve. Different aspects of the PSD
                      models should be considered in selecting a model to describe
                      a soil PSD.},
      cin          = {IBG-3},
      ddc          = {690},
      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:000364249500016},
      doi          = {10.1016/j.jhydrol.2015.08.067},
      url          = {https://juser.fz-juelich.de/record/255933},
}