Temporal behavior of a solute cloud in a heterogeneous porous medium 3. Numerical simulations

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Impact of sampling volume on the probability density function of steady state concentration (2008, methodology): “Another reason might be that we calculate the dispersion tensor only to first order accuracy, which may be insufficient for the transverse components [Dentz et al., 2002; Attinger et al., 2004].”
Transport behavior of a passive solute in continuous time random walks and multirate mass transfer (2003, background): “The predictions made by the stochastic perturbative model have been confirmed by experimental and numerical studies [e.g., Sudicky, 1986; Freyberg, 1986; Bellin et al., 1992; Chin and Wang, 1992; Zhang and Lin, 1998; Dentz et al., 2002].”
Particle‐based transport model with Markovian velocity processes for tracer dispersion in highly heterogeneous porous media (2010, methodology): “[5] Combinations of MC and LOA methods were described by Rubin [1990], Bellin et al. [1994], and Dentz et al. [2002] , in which the computationally expensive MC solution of the flow problem is avoided by utilizing realizations of the velocity field generated directly based on LOAs.”
Perspective on theories of non-Fickian transport in heterogeneous media (2009, background): “[26,27] have demonstrated numerically and Attinger et al.”