G. Dagan et A. Fiori, THE INFLUENCE OF PORE-SCALE DISPERSION ON CONCENTRATION STATISTICAL MOMENTS IN TRANSPORT THROUGH HETEROGENEOUS AQUIFERS, Water resources research, 33(7), 1997, pp. 1595-1605
Transport of an inert solute in a heterogeneous aquifer is governed by
two mechanisms: advection by the random velocity field V(x) and pore-
scale dispersion of coefficients D-dij. The velocity field is assumed
to be stationary and of constant mean U and of correlation scale I muc
h larger than the pore-scale d. It is assumed that D-dij = alpha(dij)U
are constant. The relative effect of the two mechanisms is quantified
by the Peclet numbers Pe(ij) = UI/D-dij = I/alpha(dij), which as a ru
le are much larger than unity. The main aim of the study is to determi
ne the impact of finite, though high, Pe on [C] and sigma(C)(2), the c
oncentration mean and variance, respectively. The solution, derived in
the past, for Pe = infinity is reconsidered first. By assuming a norm
al X probability density function (p.d.f.), closed form solutions are
obtained for [C] and sigma(C)(2). Recasting the problem in an Eulerian
framework leads to the same results if certain closure conditions are
adopted. The concentration moments for a finite Pe are derived subseq
uently in a Lagrangean framework. The pore-scale dispersion is viewed
as a Brownian motion type of displacement X-d of solute subparticles,
of scale smaller than d, added to the advective displacements X. By ad
opting again a normal p.d.f. for the latter, explicit expressions for
[C] and sigma(C)(2) are obtained in terms of quadratures over the join
t p.d.f. of advective two particles trajectories. While the influence
of high Pe on [C] is generally small, it has a significant impact on s
igma(C)(2). Simple results are obtained for a small V-0, for which tra
jectories are fully correlated. In particular, the concentration coeff
icient of variation at the center tends to a constant value for large
time. Comparison of the present solution, obtained in terms of a quadr
ature, with the Monte Carlo simulations of Graham. and McLaughlin [198
9] shows a very good agreement.