The finite water-content vadose zone flux method[1] [2] represents a one-dimensional alternative to the numerical solution of Richards' equation[3] for simulating the movement of water in unsaturated soils. The finite water-content method solves the advection-like term of the Soil Moisture Velocity Equation, which is an ordinary differential equation alternative to the Richards partial differential equation. The Richards equation is difficult to approximate in general because it does not have a closed-form analytical solution except in a few cases.[4] The finite water-content method, is perhaps the first generic replacement for the numerical solution of the Richards' equation. The finite water-content solution has several advantages over the Richards equation solution. First, as an ordinary differential equation it is explicit, guaranteed to converge [5] and computationally inexpensive to solve. Second, using a finite volume solution methodology it is guaranteed to conserve mass. The finite water content method readily simulates sharp wetting fronts, something that the Richards solution struggles with.[6] The main limiting assumption required to use the finite water-content method is that the soil be homogeneous in layers.
The finite water-content vadose zone flux method is derived from the same starting point as the derivation of Richards' equation. However, the derivation employs a hodograph transformation[7] to produce an advection solution that does not include soil water diffusivity, wherein
z
\theta
\left( | dz |
dt |
\right)\theta=
\partialK(\theta) | |
\partial\theta |
\left[1-\left(
\partial\psi(\theta) | |
\partialz |
\right)\right]
where:
K
\psi
z
\theta
t
This equation was converted into a set of three ordinary differential equations (ODEs) [2] using the Method of Lines[8] to convert the partial derivatives on the right-hand side of the equation into appropriate finite difference forms. These three ODEs represent the dynamics of infiltrating water, falling slugs, and capillary groundwater, respectively.
A superior derivation was published[9] in 2017, showing that this equation is a diffusion-free version of the Soil Moisture Velocity Equation.
One way to solve this equation is to solve it for
q(\theta,t)
z(\theta,t)
\int
\partialq | |
\partial\theta |
d\theta=\int
\partialz | |
\partialt |
d\theta
Instead, a finite water-content discretization is used and the integrals are replaced with summations:
N | ||
\sum | \left[ | |
j=1 |
\partialq | |
\partial\theta |
\right]j\Delta\theta=
N | ||
\sum | \left[ | |
j=1 |
\partialz | |
\partialt |
\right]j\Delta\theta
where
N
Using this approach, the conservation equation for each bin is:
\left[ | \partialq |
\partial\theta |
\right]j=\left[
\partialz | |
\partialt |
\right]j.
The method of lines is used to replace the partial differential forms on the right-hand side into appropriate finite-difference forms. This process results in a set of three ordinary differential equations that describe the dynamics of infiltration fronts, falling slugs, and groundwater capillary fronts using a finite water-content discretization.
The finite water-content vadose zone flux calculation method replaces the Richards' equation PDE with a set of three ordinary differential equations (ODEs). These three ODEs are developed in the following sections. Furthermore, because the finite water-content method does not explicitly include soil water diffusivity, it necessitates a separate capillary relaxation step. Capillary relaxation [11] represents a free-energy minimization process at the pore scale that produces no advection beyond the REV scale.
With reference to Figure 1, water infiltrating the land surface can flow through the pore space between
\thetad
\thetai
\partialK(\theta) | = | |
\partial\theta |
K(\thetad)-K(\thetai) | |
\thetad-\thetai |
.
Given that any ponded depth of water on the land surface is
hp
\partial\psi(\theta) | = | |
\partialz |
|\psi(\thetad)|+hp | |
zj |
,
represents the capillary head gradient that is driving the flow. Therefore the finite water-content equation in the case of infiltration fronts is:
\left( | dz |
dt |
\right)j=
K(\thetad)-K(\thetai) | \left( | |
\thetad-\thetai |
|\psi(\thetad)|+hp | |
zj |
+1\right).
After rainfall stops and all surface water infiltrates, water in bins that contains infiltration fronts detaches from the land surface. Assuming that the capillarity at leading and trailing edges of this 'falling slug' of water is balanced, then the water falls through the media at the incremental conductivity associated with the
j
\Delta\theta
\left( | dz |
dt |
\right)j=
K(\thetaj)-K(\thetaj-1) | |
\thetaj-\thetaj-1 |
In this case, the flux of water to the
jth
\partialK(\theta) | |
\partial\theta |
=
K(\thetaj)-K(\thetai) | |
\thetaj-\thetai |
,
and,
\partial\psi(\theta) | |
\partialz |
=
|\psi(\thetaj)| | |
Hj |
which yields:
\left( | dz |
dt |
\right)j=
K(\thetaj)-K(\thetai) | \left( | |
\thetaj-\thetai |
|\psi(\thetaj)| | |
Hj |
-1\right).
The performance of this equation was verified for cases where the groundwater table velocity was less than 0.92
Ks
Because the hydraulic conductivity rapidly increases as the water content moves towards saturation, with reference to Fig.1, right-most bins in both capillary groundwater fronts and infiltration fronts can "out-run" their neighbors to the left. In the finite water content discretization, these shocks[15] are dissipated by the process of capillary relaxation, which represents a pore-scale free-energy minimization process that produces no advection beyond the REV scale[11] Numerically, this process is a numerical sort that places the fronts in monotonically-decreasing magnitude from left-right.
The finite water content vadose zone flux method works with any monotonic water retention curve/unsaturated hydraulic conductivity relations such as Brooks and Corey[16] Clapp and Hornberger [17] and van Genuchten-Mualem.[18] The method might work with hysteretic water retention relations- these have not yet been tested.
The finite water content method lacks the effect of soil water diffusion. This omission does not affect the accuracy of flux calculations using the method because the mean of the diffusive flux is small. Practically, this means that the shape of the wetting front plays no role in driving the infiltration. The method is thus far limited to 1-D in practical applications. The infiltration equation [2] was extended to 2- and quasi-3 dimensions.[5] More work remains in extending the entire method into more than one dimension.
The paper describing this method [2] was selected by the Early Career Hydrogeologists Network of the International Association of Hydrogeologists to receive the "Coolest paper Published in 2015" award in recognition of the potential impact of the publication on the future of hydrogeology.