
422 7 Groundwater Flow
treating it, natural bioremediation anticipates that microbial action will eventually
break down most pollutants, rendering them harmless. The issue for the environ-
mental scientist is to predict the future movement of the plume, and the likelihood
of microbial breakdown before it reaches drinking water sources.
In so doing, groundwater flow modelling is essential, because of its ability to
predict into the future, and also because accurate monitoring of subsurface contam-
ination is expensive and not straightforward. Against this, subsurface soil and rock
is usually an extremely heterogeneous medium, both physically and chemically, and
the validation of computational results is difficult.
7.7.1 Reactive Groundwater Flow
The general context of many subsurface pollution problems of concern is similar,
and we therefore begin with some generalities. Contaminants may be aqueous, in
which case they mix with the groundwater, or non-aqueous, in which case they
do not. Hydrocarbons, for example, are non-aqueous. Amongst the non-aqueous
phase liquids (NAPLs), one distinguishes dense liquids (DNAPLs) from light ones
(LNAPLs). DNAPLs will sink into the saturated zone, whereas LNAPLs, such as
hydrocarbons, will sink to the base of the unsaturated zone, and there sit on the
water table, from where their constituents may diffuse downwards.
The contaminant plume will typically consist of a cocktail of different chemicals,
which flow with the local groundwater flow, disperse within it, and react with oxy-
gen and other substances in the soil via the agency of microbial action. The typical
sort of model of concern is thus the reaction-advection-dispersion equation
R
∂c
∂t
+∇.(cu) =∇.(D .∇c) +S, (7.179)
where c is one of a sequence of reactants, u is the local groundwater flux (given by
Darcy’s law), D represents dispersion, and is typically anisotropic, in the sense that
dispersion in the longitudinal direction is larger than lateral dispersion. Dispersion
itself is partly due to molecular diffusion, but more importantly (at high grain scale
Péclet number) is due to grain scale shear-induced distortion of the fluid associated
with Taylor dispersion, together with remixing at pore junctions. Typically, the lon-
gitudinal dispersion coefficient D
∼ d
p
|u|, where d
p
is grain size, while lateral
dispersion D
⊥
is a factor of 10–100 smaller.
The coefficient R is the retardation factor, and it is a slowing rate due to the ad-
sorption of aqueous phase concentration on solid particles. Specifically, we actually
have two separate conservation laws for solid and aqueous concentrations c
s
and c
l
,
respectively, thus
∂c
l
∂t
+∇.(c
l
u) =∇.(D.∇c
l
) +S +k
d
c
s
−k
a
c
l
,
∂c
s
∂t
=−k
d
c
s
+k
a
c
l
,
(7.180)