A higher-order theory is presented for steady state, mean uniform satu
rated flow and nonreactive solute transport in a random, statistically
homogeneous natural log hydraulic conductivity field Y. General integ
ral expressions are derived for the spatial covariance of fluid veloci
ty to second order in the variance sigma(2) of Y in two and three dime
nsions. Integrals involving first-order (in sigma) fluctuations in hyd
raulic head are evaluated analytically for a statistically isotropic t
wo-dimensional Y field with an exponential autocovariance, Integrals i
nvolving higher-order head fluctuations are evaluated numerically for
this same field. Complete second-order results are presented graphical
ly for sigma(2) = 1 and sigma(2) = 2. They show that terms involving h
igher-order head fluctuations are as important as those involving lowe
r-order ones. The velocity variance is larger when approximated to sec
ond than to first order in sigma(2). Discrepancies between second- and
first-order approximations of the velocity autocovariance diminish ra
pidly with separation distance and are very small beyond two integral
scales. Transport requires approximation at two levels: the flow level
at which velocity statistics are related to those of Y, and the advec
tion level at which macrodispersivities are related to velocity fluctu
ations. Our results show that a second-order flow correction affects t
ransport to a greater extent than does a second-order correction to ad
vection. Asymptotically, the second-order transverse macrodispersivity
tends to zero as does its first-order counterpart. An approximation o
f advection alone based on Corrsin's conjecture, coupled with either a
first- or a second-order flow approximation, leads to a transverse ma
crodispersivity which is significantly larger than that obtained by st
andard perturbation and tends to a nonzero asymptote. Published Monte
Carlo results yield macrodispersivities that lie significantly below t
hose predicted by first- and second-order theories. Considering that M
onte Carlo simulations often suffer from sampling and computational er
rors, that standard perturbation approximations are theoretically vali
d only for sigma(2) < 1, and that Corrsin's conjecture represents the
leading term in a renormalization group perturbation which contains co
ntributions from an infinite number of high-order terms, we find it di
fficult to tell which of these approximations is closest to representi
ng transport in strongly heterogeneous media with sigma(2) greater tha
n or equal to 1.