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 much 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 rule are much larger than unity. The main aim of the study is to determine the impact of finite, though high, Pe on [C] and sigma(C)(2), the concentration mean and variance, respectively. The solution, derived in the past, for Pe = infinity is reconsidered first. By assuming a normal 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 subsequently 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 adopting 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 joint 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 sigma(C)(2). Simple results are obtained for a small V-0, for which trajectories are fully correlated. In particular, the concentration coefficient of variation at the center tends to a constant value for large time. Comparison of the present solution, obtained in terms of a quadrature, with the Monte Carlo simulations of Graham. and McLaughlin [1989] shows a very good agreement.
Dagan, G., Fiori, A. (1997). The influence of pore-scale dispersion on concentration statistical moments in transport through heterogeneous aquifers RID A-2321-2010. WATER RESOURCES RESEARCH, 33(7), 1595-1605 [10.1029/97WR00803].
The influence of pore-scale dispersion on concentration statistical moments in transport through heterogeneous aquifers RID A-2321-2010
FIORI, ALDO
1997-01-01
Abstract
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 much 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 rule are much larger than unity. The main aim of the study is to determine the impact of finite, though high, Pe on [C] and sigma(C)(2), the concentration mean and variance, respectively. The solution, derived in the past, for Pe = infinity is reconsidered first. By assuming a normal 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 subsequently 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 adopting 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 joint 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 sigma(C)(2). Simple results are obtained for a small V-0, for which trajectories are fully correlated. In particular, the concentration coefficient of variation at the center tends to a constant value for large time. Comparison of the present solution, obtained in terms of a quadrature, with the Monte Carlo simulations of Graham. and McLaughlin [1989] shows a very good agreement.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
