Fa. Bonilla et Jh. Cushman, Role of boundary conditions in convergence and nonlocality of solutions tostochastic flow problems in bounded domains, WATER RES R, 36(4), 2000, pp. 981-997
Steady flow through a heterogeneous porous medium in a bounded domain is in
vestigated using a recursive perturbation scheme. The effect df boundary co
nditions on a two-dimensional flow with arbitrary Variation of the mean flo
w (allowing large gradients) is investigated using analytical expressions f
or the head and velocity covariance functions. Boundary conditions were dec
omposed into deterministic and stochastic components. Two flow cases with t
he same zero-order and different first-order boundary conditions were analy
zed. Boundary conditions are deterministic for the first case and random fo
r the second. Significant differences between the two cases indicate random
(or absence of randomness) processes must be modeled at boundaries. First-
order solutions for the head and velocity covariance functions for a bounde
d rectangular domain are derived. The resulting integral kernels involve Gr
eens functions, and they are evaluated by numerical integration. Boundary c
onditions for higher-order problems influence the absolute value and shape
of the kernels (and therefore of the head and velocity variance and covaria
nce functions). It is found that the validity of the perturbation scheme is
dependent on the magnitude of the kernels and not only on the condition si
gma(f)(2) much less than 1; where sigma(f) is the variance of the log hydra
ulic conductivity, assumed Gaussian and weakly homogeneous in space. The ty
pe of boundary conditions affects' the values of the kernels and therefore
determine the convergence limits for the problem. Milder head gradients als
o allow larger Values of sigma(f)(2). Nonlocality is also contingent on bou
ndary type; Weakly homogeneous log-fluctuating conductivity fields give ris
e to head and velocity covariances which are not weakly homogeneous. The in
homogeneous fields are obtained from a linear filter of the solution to the
problem without stochasticity. Higher-gradient regions induce higher head
and velocity variances. In the presence of space-varying gradients, nonloca
l effects are most important away from the boundaries ("center of the domai
n"). Small local head gradients result in small head and velocity gradients
, and therefore where observations are made in stagnation regions, data sho
uld be analyzed taking into account this effect. The results may be used to
interpret experimental data for columns or data taken where conditions do
not fit the average uniform flow assumption and when processes at the bound
aries influence the flow and therefore the mixing of contaminants.