---
title: "The HRU"
output:
bookdown::html_document2:
base_format: rmarkdown::html_vignette
number_sections: false
toc: true
toc_depth: 2
pkgdown:
as_is: true
vignette: >
%\VignetteIndexEntry{The HRU}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
resource_files:
- Hillslope_HRU.png
---
# Conceptual model
One of the underlying principles of dynamic TOPMODEL is that the landscape can
be broken up into hydrologically similar regions, or Hydrological Response
Units (HRUs), where all the area within a HRU behaves in a hydrologically
similar fashion. Further discussion and the connection of HRUs is outlined [elsewhere](Notes_on_the_implementation_of_Dynamic_TOPMODEL.html).
This document outlines the conceptual structure and computational
implementation of the HRU. The HRU is a representation of
an area of the catchment with, for example, similar topographic, soil and upslope area
characteristics.
The HRU is considered to be a area of catchment with outflow
occurring across a specified width of it boundary.
It is formed of four zones representing the surface water, which
passes water between HRUs and drains to the root zone. The root zone characterises
the interactions between evapotranspiration and precipitation and when full spills to
the unsaturated zone. This drains to the saturated zone which also interacts
with other HRUs. The behaviour of the saturated zone is modelled using a kinematic wave
approximation. The zones and variables used below are shown in the schematic diagram.
```{r, echo=FALSE, purl=FALSE, out.width="75%", fig.align="center", fig.cap="Schematic of the Hill slope HRU"}
knitr::include_graphics("./Hillslope_HRU.png")
```
In the following section the governing equations of the HRU are
given in a finite volume form. Approximating equations for the solution of the
governing equations are then derived with associated implicit and semi-implicit numerical
schemes. These are valid for the wide range of surface zone and saturated zone
transmissivity profiles presented in the vignette. Appendices provide supporting information.
# Notation
Table \@ref(tab:hs-x-notation) outlines the notation used for describing an
infinitesimal slab across the hillslope HRU.
The following conventions are used:
- All properties such as slope angles and time constants are considered
uniform along the hillslope.
- Precipitation and Potential Evapotranspiration occur at spatially uniform
rates.
- All vertical fluxes $r_{\star \rightarrow \star}$ are considered to
spatially uniform and to be positive when
travelling in the direction of the arrow, but can, in some cases be negative.
- All lateral fluxes $q_{\star}$ and $q_{\star}$ are considered to be positive flows travelling downslope.
- The superscripts $^+$ and $^-$ are used to denote variables for the outflow
and inflow to the hillslope.
- $\left.y\right\rvert_t$ indicates the value of the
variable $y$ at time $t$
| Quantity type | Symbol | Description | unit |
|----------------------------|-------------------------|--------------------------------------------------------------------------|---------|
| Storage | $s_{sf}$ | Surface excess storage | m$^3$ |
| | $s_{rz}$ | Root zone storage | m$^3$ |
| | $s_{uz}$ | Unsaturated zone storage | m$^3$ |
| | $s_{sz}$ | Saturated zone storage deficit | m$^3$ |
| Vertical fluxes | $r_{sf \rightarrow rz}$ | Flow from the surface excess store to the root zone | m$^3$/s |
| | $r_{rz \rightarrow uz}$ | Flow from the root zone to the unsaturated zone | m$^3$/s |
| | $r_{uz \rightarrow sz}$ | Flow from unsaturated to saturated zone | m$^3$/s |
| Lateral fluxes | $q_{sf}$ | Lateral flow in the hillslope surface zone | m$^3$/s |
| | $q_{sz}$ | Lateral inflow to the hillslope surface zone | m$^3$/s |
| Vertical fluxes to the HRU | $p$ | Precipitation rate | m$^3$/s |
| | $e_p$ | Potential Evapotranspiration rate | m$^3$/s |
| Other HRU properties | $A$ | Plan area | m$^2$ |
| | $w$ | Width of a hill slope cross section | m |
| | $\Delta x$ | Effective length of the hillslope HRU (\Delta x = A/w$) | m |
| | $\Theta_{sf}$ | Further properties and parameters for the solution of the surface zone | :-: |
| | $\Theta_{rz}$ | Further properties and parameters for the solution of the root zone | :-: |
| | $\Theta_{uz}$ | Further properties and parameters for the solution of the saturated zone | :-: |
| | $\Theta_{sz}$ | Further properties and parameters for the solution of the saturated zone | :-: |
Table: (\#tab:hs-x-notation) Outline of notation for describing a cross
section of the hillslope HRU
# Finite Volume Formulation
In this section a finite volume formulation of the Dynamic TOPMODEL equations
is derived for the evolution of the states over the time step $t$ to $t +
\Delta t$. The lateral flux rates are considered at the start and end of the
time step. The vertical flux rates are considered as constant throughout the
time step, allowing for a semi-analytical solution of some storage zones.
## Surface zone
The storage in the surface zone satisfies the mass balance equation
\[
\frac{ds_{sf}}{dt} = q^{-}_{sf} - r_{sf \rightarrow rz} - q^{+}_{sf}
\]
where surface storage is increased by lateral downslope flow from upslope HRUs.
Water flows to the root zone at a constant rate $r_{sf \rightarrow rz}$, unless limited by
the available storage at the surface or the ability of the root zone to
receive water (for example if the saturation storage deficit is 0 and the root
zone storage is full). In cases where lateral flow in the saturated zone produce
saturation storage deficits water may be returned from the root
zone to the surface giving negative values of $r_{sf \rightarrow rz}$.
The outflow $q^{+}_{sf}$ is considered a function of
$q^{-}_{sf}$, $s_{sf}$, $r_{sf \rightarrow rz}$ and parameters $\Theta_{sf}$ denoted by
\[
q^{+}_{sf} = \mathcal{F}\left(s_{sf},q^{-}_{sf},r_{sf \rightarrow
rz},\Theta_{sf}\right)
\]
For the purposes the numerical scheme we limit the set to possible functions
$\mathcal{F}$ to those that are non-decreasing with respect to $s_{sf}$ and
take the value $0$ when $s_{sf}=0$. More formally
\[
\frac{\partial}{\partial s_{sf}} \mathcal{F}\left(s_{sf},q^{-}_{sf},r_{sf \rightarrow
rz},\Theta_{sf}\right) \geq 0
\]
and
\[
\mathcal{F}\left(0,q^{-}_{sf},r_{sf \rightarrow
rz},\Theta_{sf}\right) = 0
\]
## Root zone
The root zone gains water from precipitation and the surface zone. It loses water through
evaporation and to the unsaturated zone. All vertical fluxes are
considered to be spatially uniform. The root zone storage satisfies
\begin{equation} 0 \leq s_{rz} \leq s_{rzmax} \end{equation}
with the governing ODE
\begin{equation}
\frac{ds_{rz}}{dt} = p - \frac{e_p}{s_{rzmax}} s_{rz} +
r_{sf\rightarrow rz} - r_{rz \rightarrow uz}
\end{equation}
Fluxes from the surface and to the unsaturated zone are
controlled by the level of root zone storage along with the state of the unsaturated
and saturated zones.
For $s_{rz} \leq s_{rzmax}$ then $r_{rz \rightarrow uz} \leq 0$. Negative
values of $r_{rz \rightarrow uz}$ may occur only when water is returned from the
unsaturated zone due to saturation caused by lateral inflow to the saturated zone.
When $s_{rz} = s_{rzmax}$ then
\begin{equation}
p - e_p + r_{sf\rightarrow rz} - r_{rz \rightarrow uz} \leq 0
\end{equation}
In this case $r_{rz \rightarrow uz}$ may be positive if
\begin{equation}
p - e_p + r_{sf\rightarrow rz} > 0
\end{equation}
so long as the unsaturated zone can receive the water. If $r_{rz
\rightarrow uz}$ is 'throttled' by the rate at which the unsaturated zone can
receive water, then $r_{sf\rightarrow rz}$ is adjusted (potentially becoming
negative) to ensure the equality is met.
## Unsaturated Zone
The unsaturated zone acts as a non-linear tank subject to the constraint
\begin{equation} 0 \leq s_{uz} \leq s_{sz} \end{equation}
The governing ODE is written as
\begin{equation}
\frac{ds_{uz}}{dt} = r_{rz \rightarrow uz} - \frac{A s_{uz}}{T_d s_{sz}}
\end{equation}
If water is able to pass freely to the saturated zone, then it flows at the rate
$\frac{A s_{uz}}{T_d s_{sz}}$.
In the situation where $s_{sz}=s_{uz}$ the subsurface below
the root zone can be considered saturated, as in there is no further available
storage for water, but separated into two parts: an upper part with vertical
flow and a lower part with lateral flux.
It is possible that the downward flux is constrained by the ability of the saturated zone to receive water. If
this is the case $r_{uz \rightarrow sz}$ occurs at the maximum
possible rate and $r_{rz \rightarrow uz}$ is limited to ensure that
$s_{uz} \leq s_{sz}$.
## Saturated Zone
For a HRU the alteration of the storage in the saturated zone is given in
terms of the storage deficit $s_sz$ as:
\[
\frac{ds_{sz}}{dt} = q^{+}_{sz} - r_{sf \rightarrow rz} - q^{-}_{sz}
\]
The relationship between the outflow and storage deficit is given
\[
q^{+}_{sz} = \mathcal{G}\left(s_{sz},q^{-}_{sz},\Theta_{sz}\right)
\]
It is assummed that flow increases with storage so
\[
- \frac{d}{ds_{sz}} \mathcal{G}\left(s_{sz},q^{-}_{sz},\Theta_{sz}\right) \geq 0
\]
while at the maximum storage deficit
$\mathcal{G}\left(D,q^{-}_{sz},\Theta_{sz}\right) = 0$
# Numerical Solution
No analytical solution yet exists for simultaneous integration of the system of
ODEs outlined above. In the following an implicit scheme, where fluxes
between stores are considered constant over the time step and gradients are
evaluated at the final state, is presented.
The basis of the solution is that a gravity driven system will maximise
the downward flow of water within each timestep of size $\Delta t$. Hence on
the first downward pass through the stores the maximum downward volumes of the vertical
fluxes $\hat{v}_{* \rightarrow *} = \Delta t \hat{r}_{* \rightarrow *}$ are determined. These then moderated by the
solution of the saturated zone, with an upward pass giving the final states.
## Downward Pass
### Surface excess
The implicit solution of mass balance equation gives
\[
\left. s_{sf} \right\rvert_{t+\Delta t} = \left. s_{sf} \right\rvert_{t} +
\Delta t
\left( \left. q_{sf}^{-} \right\rvert_{t+\Delta t} -
\left. \mathcal{F}\left(s_{sf},q^{-}_{sf},r_{sf \rightarrow
rz},\Theta_{sf}\right)\right\rvert_{t+\Delta t} \right) -
\left. v_{sf \rightarrow rz} \right\rvert_{t+\Delta t}
\]
Since the outflow is 0 when the $s_sf=0$ the maximum downward flux volume is
\[
\left. \hat{v}_{sf \rightarrow rz} \right\rvert_{t+\Delta t} = \left. s_{sf}
\right\rvert_{t} + \Delta t \left. q_{sf}^{-} \right\rvert_{t+\Delta t}
\]
### Root Zone
The implicit formulation for the root zone gives
\begin{equation}
\left. s_{rz} \right.\rvert_{t + \Delta t} =
\left( 1 + \frac{e_{p}\Delta t}{s_{rzmax}} \right)^{-1}
\left(
\left. s_{rz} \right.\rvert_{0}
+ \Delta t p +
v_{sf \rightarrow rz} - v_{rz \rightarrow uz} \right)
\end{equation}
Since flow to the unsaturated zone occur only to keep
$s_{rz} \leq s_{rzmax}$ then
\begin{equation}
\hat{v}_{rz \rightarrow uz} = \max\left(0,
\left. s_{rz} \right.\rvert_{0}
+ \Delta t \left( p -e_{p}\right)
+ \hat{v}_{sf \rightarrow rz}
- s_{rzmax}
\right)
\end{equation}
### Unsaturated Zone
The implicit expression for the unsaturated zone is given in terms of
$\left. s_{uz} \right.\rvert_{t+\Delta t}$ and
$\left. s_{sz} \right.\rvert_{t+\Delta t}$ as
\begin{equation}
\left. s_{uz} \right.\rvert_{t+\Delta t} =
\frac{T_{d}\left. s_{sz} \right.\rvert_{t+\Delta t}}{
T_{d}\left. s_{sz} \right.\rvert_{t+\Delta t} + A \Delta t}
\left( \left. s_{uz} \right.\rvert_{t} +
v_{rz \rightarrow uz}\right)
\end{equation}
Since $\left. s_{uz} \right.\rvert_{t+\Delta t} \leq \left. s_{sz}
\right.\rvert_{t+\Delta t}$ this places an additional condition of
\begin{equation}
\left. s_{uz} \right.\rvert_{t} + v_{rz \rightarrow uz} \leq
\left. s_{sz} \right.\rvert_{t+\Delta t} + \frac{A \Delta t}{T_d}
\end{equation}
By mass balance this gives the maximum downward flux volume as
\[
\hat{v}_{uz \rightarrow sz} = A\Delta t \min\left(
\frac{\left( \left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}\right)}
{T_{d}\left. s_{sz} \right.\rvert_{t+\Delta t} + A \Delta t}, \frac{1}{T_{d}} \right)
\]
This is a function of $\left. s_{sz} \right.\rvert_{t+\Delta t}$.
### Saturated Zone
Building on the generic solution the implicit scheme for the saturated zone gives
\[
\left. s_{sz} \right\rvert_{t+\Delta t} = \left. s_{sz} \right\rvert_{t} +
\Delta t \left(
\left. \mathcal{G}\left(s_{sz},q^{-}_{sz},\Theta_{sz}\right)\right\rvert_{t+\Delta t} -
\left. q_{sz}^{-} \right\rvert_{t+\Delta t} \right) -
\left. v_{uz \rightarrow sz} \right\rvert_{t+\Delta t}
\]
Consider the pseudo-function
\[
\mathcal{H}\left(z\right) =
z -
\left. s_{sz}\right.\rvert_{t} +
\Delta t \left. q_{sz}^{-} \right\rvert_{t+\Delta t} +
A\Delta t \min\left(
\frac{\left( \left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}\right)}
{T_{d}z + A \Delta t}, \frac{1}{T_{d}} \right) - \\
\Delta t \min\left(q_{sz}^{max},\max\left( 0, 2 \mathcal{G}\left(z,\Theta_{sz}\right) - \left. q_{sz}^{-}
\right\rvert_{t+\Delta t}
\right)\right)
\]
adapted from the approximating equation for the saturated zone storage.
In Appendix A it is
shown that $\mathcal{H}\left(z\right)$ is a monotonic increasing function of
$z > 0$ and $\mathcal{H}\left(D\right) \geq 0$.
Hence if $\mathcal{H}\left(0\right) \lt 0$ unique solution for
$\left. s_{sz}\right.\rvert_{\Delta t}$ can be found.
If $\mathcal{H}\left(0\right) \geq 0$ then the incoming fluxes are enough to
produce saturation in the subsurface and
$\left. s_{sz}\right.\rvert_{\Delta t} = 0$.
Maintaining a water (mass) balance and
correct limits on the state values
depends upon the accuracy of the solution of
$\mathcal{H}\left(z\right)=0$. Since each evaluation of
$\mathcal{H}\left(z\right)$ requires an evaluation of $\mathcal{G}$ this
rapidly become the most expensive part of the code.
Use of a numerical scheme which allows mass balance to maintained
regardless of the accuracy of the solution of $\mathcal{H}\left(z\right)=0$
allows scope for compromises based on computational time.
The upward pass presented below is mass conservative so long as
$\mathcal{H}\left(\left. s_{sz}\right.\rvert_{\Delta t}\right)\geq0$.
We therefore seek $z$ which satifies for some tolerance $\epsilon>0$
\[
\epsilon \geq \mathcal{H}\left(z\right) \geq 0
\]
One approach to finding such a value is use a bracketing algorithm. At each iteration the lower and upper limits $z^{l} <
z^{u}$ satisify $\mathcal{H}\left(z^{l}\right)\leq 0 \leq
\mathcal{H}\left(z^{u}\right)$, thus bracket the solution. Iterating (using for example bisection) until
$\mathcal{H}\left(z^{l}\right) \leq \epsilon$ give the approximation $\left. s_{sz}\right.\rvert_{\Delta t} = z^{u}$.
## Upward Pass
Given an estimate of $\left. s_{sz}\right.\rvert_{\Delta t}$ such that
$\mathcal{H}\left(\left. s_{sz}\right.\rvert_{\Delta t}\right)>0$ compute the
vertical flux volumes in the following fashion
1. $\left. q_{sz}^{+}\right.\rvert_{t+\Delta t} =
\min\left(q_{sz}^{max},\max\left( 0, 2
\mathcal{G}\left(\left. s_{sz}\right.\rvert_{t+\Delta t},\Theta_{sz}\right) -
\left. q_{sz}^{-} \right\rvert_{t+\Delta t}\right)\right)$
1. $v_{uz \rightarrow sz} = \left. s_{sz}\right.\rvert_{t} +\Delta t
\left(\left. q_{sz}^{+}\right.\rvert_{t+\Delta t} - \left. q_{sz}^{-}
\right\rvert_{t+\Delta t}\right) - \left. s_{sz}\right.\rvert_{t+\Delta t}$
1. $\left. s_{uz}\right.\rvert_{t+\Delta t} =
\min\left(\left. s_{sz}\right.\rvert_{t+\Delta
t},\left. s_{uz}\right.\rvert_{t} + \hat{v}_{rz \rightarrow uz} - v_{uz
\rightarrow sz}\right)$
1. $v_{rz \rightarrow uz} = \left. s_{uz}\right.\rvert_{t+\Delta t}
-\left. s_{uz}\right.\rvert_{t} + v_{uz \rightarrow sz}$
1. $v_{sf \rightarrow rz} = \min\left(\hat{v}_{sf \rightarrow rz}, s_{rzmax} -
\left. \bar{s}_{rz} \right.\rvert_{0} - \Delta t \left( p - e_p \right) + {v}_{rz
\rightarrow uz} \right)$
1. Solve for $\left. s_{rz}\right.\rvert_{t+\Delta t}$ using the equation
already given.
1. Compute the volume loss to evapotranspiration as
$\left. v_{e_{p}}\right.\rvert_{t+\Delta t} =
\left. s_{rz}\right.\rvert_{t} + v_{sf \rightarrow rz} - v_{rz \rightarrow
uz} + \Delta t p - \left. s_{rz}\right.\rvert_{t+\Delta t}$
This leaves the solution of the surface zone
### Surface Zone
Proceeding in a similar fashion to the saturated zone consider the pseudo-function
\[
\mathcal{S}\left(w\right) =
\left. s_{sf} \right\rvert_{t} +
\Delta t
\left( \left. q_{sf}^{-} \right\rvert_{t+\Delta t} -
\mathcal{F}\left(w,q_{sf}^{-},\frac{\left. v_{sf \rightarrow rz}
\right\rvert_{t+\Delta t}}{\Delta t},\Theta_{sf}\right)
\right) -
\left. v_{sf \rightarrow rz} \right\rvert_{t+\Delta t} - w
\]
which is monotonically decreasing for $w \geq 0$ with
$\mathcal{S}\left(0\right)\geq 0$.
A bracketing solution algorithm gives at any iteration $w^{l} < \left. s_{sf}
\right\rvert_{t+\Delta t} < w^{u}$. An initial value of $w^{u}$ can be computed
as $\left. s_{sf} \right\rvert_{t} + \Delta t\left. q_{sf}^{-}
\right\rvert_{t+\Delta t} - \left. v_{sf \rightarrow rz} \right\rvert_{t+\Delta t}$. Iterating until; for some
tolerance $\epsilon>0$; $w^{u} - w^{l}
< \epsilon$ take $\left. s_{sf}\right.\rvert_{\Delta t} = w^{l}$.
In this case $\mathcal{S}\left(\left. s_{sf}\right.\rvert_{\Delta t}\right) >
0$ hence mass conservation can be maintained by taking
\[
\left. q_{sf}^{+} \right\rvert_{t+\Delta t} =
\left. q_{sf}^{-} \right\rvert_{t+\Delta t} +
\frac{1}{\Delta t}\left(
\left. s_{sf} \right\rvert_{t} -
\left. v_{sf \rightarrow rz} \right\rvert_{t+\Delta t} -
\left. s_{sf}\right.\rvert_{t + \Delta t}\right)
\]
# Surface Zone Representations
Recall that The storage in the surface zone satisfies the mass balance equation
\[
\frac{ds_{sf}}{dt} = q^{-}_{sf} - r_{sf \rightarrow rz} - q^{+}_{sf}
\]
where surface storage is increased by lateral downslope flow from upslope HRUs.
Water flows to the root zone at a constant rate $r_{sf \rightarrow rz}$, unless limited by
the available storage at the surface or the ability of the root zone to
receive water (for example if the saturation storage deficit is 0 and the root zone storage is full).
The following subsections present various options for the surface zone
solution based on the Muskingham approximation method.
The Muskingham method offers a parsimonious for capturing a
range of surface dynamics. This section outlines the key equations and shows
how they may be used to capture a range of conceptual models.
Muskingham routing can be derived in a number of ways. The surface storage $s_{sf}$ in a reach or hillslope of length $\Delta
x$ can be expressed in terms of the representative flow $q_{sf}$ and velocity $v_{sf}$
as
\[
s_{sf} = \frac{q_{sf} \Delta x}{v_{sf}}
\]
The representative flow is related to the inflow $q_{sf}^{-}$ and outflow
$q_{sf}^{+}$ using the parameter $\eta$ through
\[
q_{sf} = \eta q_{sf}^{-} + \left(1-\eta\right) q_{sf}^{+}
\]
which gives
\[
s_{sf} = \frac{\Delta x}{v_{sf}} \left(\eta q_{sf}^{-} + \left(1-\eta\right) q_{sf}^{+} \right)
\]
Taking vertical inflow $r$ the mass balance can be written
\[
\frac{ds}{dt} = q^{-} + r - q^{+}
\]
where substitution of
\[
q_{sf}^{+} = \max\left(0, \frac{1}{1-\eta}\left(\frac{sv}{\Delta x} - \eta q^{-} \right) \right)
\]
gives
\[
\frac{ds}{dt} = q^{-} + r - \max\left(0, \frac{1}{1-\eta}\left(\frac{sv}{\Delta x} - \eta q^{-} \right) \right)
\]
where the maximum ensures that outflow is positive.
## Approximating Tank Models
Taking $\eta=0$ gives
\[
\frac{ds}{dt} = q^{-} + r - \frac{sv}{\Delta x}
\]
which is the equation of a tank model with possibly varying time constant $T =
\frac{\Delta x}{v}$
## Approximating Diffusion Wave Routing
Diffuse routing with lateral inflow can be expressed as the parabolic
equation (see for example [doi:10.1016/j.advwatres.2005.08.008](https://doi.org/10.1016/j.advwatres.2005.08.008))
\[
\frac{dq}{dt} + c\frac{dq}{dx} - D \frac{d^2 q}{dx^2} = cl - D \frac{dl}{dx}
\]
where $l$ is lateral inflow per unit length. Simplify this by
considering that the lateral inflow $r$ uniformly
distributed so that $l=\frac{r}{\Delta x}$ and $\frac{dl}{dx}=0$ to give
\[
\frac{dq}{dt} + c\frac{dq}{dx} - D \frac{d^2 q}{dx^2} = cl
\]
Let us relate this to the Muskingham Solution using the relationship
\[
q = \eta q^{-} + \left(1-\eta\right) q^{+}
\]
Taking Taylor series expansions for $q^{-}$ and
$q^{+}$ based on $q$ gives
\[
q^{+} \approx q + \eta \Delta x \frac{dq}{dx} + \frac{1}{2}\eta^2\Delta x^2 \frac{d^2 q}{dx^2}
\]
and
\[
q^{-} \approx q - \left(1-\eta\right) \Delta x \frac{dq}{dx} + \frac{1}{2}\left(1-\eta\right)^2 \Delta x^2 \frac{d^2 q}{dx^2}
\]
Subtracting the expression for $q^{-}$ from that for $q^{+}$ gives
\[
q^{-} - q^{+} \approx
-\Delta x \frac{dq}{dx} +
\frac{1}{2}\left(1-2\eta\right) \Delta x^2 \frac{d^2 q}{dx^2}
\]
From the mass balance condition
\[
\frac{ds}{dt} \approx \Delta x l -\Delta x \frac{dq}{dx} +
\frac{1}{2}\left(1-2\eta\right)\Delta x^2 \frac{d^2 q}{dx^2}
\]
Using the expression for storage and relationship between flow and area
\[
\frac{dq}{dt} = \frac{dq}{da} \frac{da}{dt} = \frac{c}{\Delta x} \frac{ds}{dt}
\]
Then combining this with the approximation produces
\[
\frac{dq}{dt} + c\frac{dq}{dx} -
\frac{c}{2}\left(1-2\eta\right)\Delta x \frac{d^2 q}{dx^2}
\approx c l
\]
Comparison to the original diffuse routing equation shows that
\[
\eta \approx \frac{1}{2} - \frac{D}{c \Delta x}
\]
The value of $\eta$ is limited to between 0 and $\frac{1}{2}$. Firstly $\eta =
1/2$ results from $D=0$; that is the Kinematic wave equation. Taking $\eta=0$
produces the maximum dispersion of $D = \frac{c\Delta x}{2}$, which is given by
the linear tank.
## Compound Channels
Compound channels are considered as channels with two regimes corresponding to
different reltionships between the $s_{sf}$, $q_{sf}$ and $\eta$ depending
upon whether $s_{sf} \leq s_{c}$, for some storage threshold $s_{1}$.
This allows a basic representation of surface storage such as runoff attenuation
features, or out of bank channel flow.
In solving this inflow is partitioned to ensure, where possible, $s_sf > s_{c}$
## Available Formulations
The different formulation available in the model are given in Table
\@ref(tab:surface) with their parameters outlined in Table
\@ref(tab:surface-param)
| Type | Description | Parameters | $\mathcal{F}\left(s_{sf},q^{-}_{sf},r_{sf \rightarrow rz},\Theta_{sf}\right)$ |
|------|-------------|------------|------------------------------------------------------------|
| cnst | Linear Tank coupled below a constant parameter diffusive wave solutions | $t_{raf}, s_{raf},c_{sf}, d_{sf}$ | \begin{equation}\begin{array}{l} \eta &=& \frac{1}{2} - \frac{d_{sf}}{c_{sf}\Delta x} \\ q^{+}_{sf} &=& \frac{\min\left(s_{sf},s_{raf}\right)}{t_raf} + \max\left(0, \frac{1}{1-\eta}\left( \frac{c_{sf}}{\Delta x}\max\left(0,s_{sf}-s_{raf}\right) - \eta \hat{q}_{sf}^{-} \right) \right) \end{array}\end{equation} |
| kin | Linear tank with Kinematic Wave for remaining flow | $t_{raf}, s_{raf}, n, w_{sf}, g_{sf}$ | \begin{equation} \begin{array}{l} q_{sf} &=& \frac{g_{sf}^{1/2}}{n w_{sf}^{2/3}} \left(\frac{\max\left(0,s_{sf}-s_{raf}\right)}{\Delta x}\right)^{5/3} \\ q^{+}_{sf} &=& \frac{\min\left(s_{sf},s_{raf}\right)}{t_raf} + \max\left(0,2\left( q_{sf} - \frac{1}{2} \hat{q}_{sf}^{-} \right) \right) \end{array}\end{equation} |
| comp | Two constant parameter diffusive wave solutions | $v_{sf,1}, d_{sf,1}, s_{1}, v_{sf,2}, d_{sf,2}$ | \begin{equation}\begin{array}{l} \eta_{1} &=& \frac{1}{2} - \frac{d_{sf,1}}{v_{sf,1}\Delta x} \\ \eta_{2} &=& \frac{1}{2} - \frac{d_{sf,2}}{v_{sf,2}\Delta x} \\ q^{+}_{sf} &=& \max\left(0, \frac{1}{1-\eta_{1}}\left( \frac{v_{sf,1}}{\Delta x}\max\left(s_{sf},s_{1}\right) - \eta_{1} \hat{q}_{sf,1}^{-} \right) \right) + \max\left(0, \frac{1}{1-\eta_{2}}\left( \frac{v_{sf,2}}{\Delta x}\max\left(0,s_{sf}-s_{1}\right) - \eta_{2} \hat{q}_{sf,2}^{-} \right) \right) \end{array}\end{equation} |
Table: (\#tab:surface) Outline formulations for the storage-flow relationship in the surface zone.
| Symbol | Description | unit |
|-----------|-------------------------------------------------|---------------|
| $t_{raf}$ | Time constant of the runoff attenuation feature | s |
| $c_{sf}$ | Free flowing surface water velocity | ms$^{-1}$ |
| $s_{raf}$ | storage of the runoff attenuation feature | m$^3$ |
| $d_{sf}$ | Free flowing surface water diffusion rate | m$^2$s$^{-1}$ |
| $w_{sf}$ | Width of surface channel | m |
| $g_{sf}$ | Gradient of surface channel | - |
| $n$ | Manning $n$ coefficent for roughness | sm$^{-1/3}$ |
Table: (\#tab:surface-param) Parameters used in the surface zone storage-flow
relationships.
# Saturated Zone representations
The function $q_{sz$ = \mathcal{G}\left(s_{sz},\Theta_{sz}\right)$ dscribing
the representative lateral flow is related to the
HRU width through the transmissivity function. Table
\@ref(tab:hs-transmissivity) gives $\mathcal{G}\left(s_{sz},\Theta_{sz}\right)$ for various the transmissivity profiles present as options within the `dynatop`
package, the corresponding value to use for the `type` value
in the saturated zone specification and the additional parameters
required. The additional parameters are defined in Table
\@ref(tab:hs-transmissivity-param).
Since the subsurface has a kinematic approximation
\[
q_{sz}^{+} = \max\left(0, 2\left( q_{sz} - \frac{1}{2} q_{sf}^{-}\right)\right)
\]
| Name | $G\left(\bar{s}_{sz},\Theta_{sz}\right)$ | $\Theta_{sz}$ | `type` value | Notes | |
|---------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------|--------------|---------------------------------------------------------------------------|---|
| Exponential | $T_{0}w\sin\left(\beta\right)\exp\left(-\frac{\cos\beta}{Am}s_{sz}\right)$ | $T_0,\beta,m$ | exp | Originally given in [Beven & Freer 2001](https://doi.org/10.1002/hyp.252) | |
| Bounded Exponential | $T_{0}w\sin\left(\beta\right)\left(\exp\left(-\frac{\cos\beta}{Am}s_{sz}\right) - \exp\left(-\frac{\cos\beta}{m}D\right)\right)$ | $T_0,\beta,m,D$ | bexp | Originally given in [Beven & Freer 2001](https://doi.org/10.1002/hyp.252) | |
| Constant Celerity | $\frac{c_{sz}w}{A}\left(AD-s_{sz}\right)$ | $c_{sz},D$ | cnst | | |
| Double Exponential | $T_{0}w\sin\left(\beta\right)\left( \omega\exp\left(-\frac{\cos\beta}{Am}s_{sz}\right) + \left(1-\omega\right)\exp\left(\frac{\cos\beta}{Am_2}s_{sz}\right)\right)$ | $T_0,\beta,m,m_2,\omega$ | dexp | | |
Table: (\#tab:hs-transmissivity) Transmissivity profiles available with the `dynatop` package.
| Symbol | Description | unit |
|-----------|---------------------------------------------------|----------|
| $T_0$ | Transmissivity at saturation | m$^2$/s |
| $m$,$m_2$ | Exponential transmissivity constants | m$^{-1}$ |
| $\beta$ | Angle of hill slope | rad |
| $c_{sz}$ | Saturated zone celerity | m/s |
| $D$ | Storage deficit at which zero lateral flow occurs | m |
| $\omega$ | weighting parameter | - |
Table: (\#tab:hs-transmissivity-param) Additional parameters used in the transmissivity profiles.
# Appendix A - Monotonicity of $\mathcal{H}\left(z\right)$
By definition $\left. s_{uz} \right.\rvert_{t}$, $\Delta t$, A, $T_d$, $\hat{v}_{rz
\rightarrow uz}$ and $z$ are all greater or equal to 0. To show that the
gradient of
\[
\mathcal{H}\left(z\right) =
z -
\left. s_{sz}\right.\rvert_{t} +
\Delta t \left. q_{sz}^{-} \right\rvert_{t+\Delta t} +
A\Delta t \min\left(
\frac{\left( \left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}\right)}
{T_{d}z + A \Delta t}, \frac{1}{T_{d}} \right) - \\
\Delta t \min\left(q_{sz}^{max},\max\left( 0, 2 \mathcal{G}\left(z,\Theta_{sz}\right) - \left. q_{sz}^{-}
\right\rvert_{t+\Delta t}
\right)\right)
\]
is strictly positive consider first the gradient of the last term which takes
the value
\[
\frac{d}{dz} \min\left(q_{sz}^{max},\max\left( 0, 2 \mathcal{G}\left(z,\Theta_{sz}\right) - \left. q_{sz}^{-}
\right\rvert_{t+\Delta t}
\right)\right) = \left\{ \begin{array}{cl}
0 & 2 \mathcal{G}\left(z,\Theta_{sz}\right) < \left. q_{sz}^{-} \right\rvert_{t+\Delta t}\\
0 & 2 \mathcal{G}\left(z,\Theta_{sz}\right) - \left. q_{sz}^{-} \right\rvert_{t+\Delta t}> q_{sz}^{max} \\
2 \frac{d}{dz} \mathcal{G}\left(z,\Theta_{sz}\right) & \mathrm{otherwise}
\end{array}
\right.
\]
By definition $-\frac{d}{dz} \mathcal{G}\left(z,\Theta_{sz}\right) \geq 0$
hence
\[
\frac{d}{dz} \mathcal{H}\left(z\right) \geq
1 +
A\Delta t \frac{d}{dz} \min\left(
\frac{\left( \left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}\right)}
{T_{d}z + A \Delta t}, \frac{1}{T_{d}} \right)
\]
Separating the range of $z$ into two sections gives
\[
\frac{d}{dz} \mathcal{H}\left(z\right) \geq \left\{ \begin{array}{cl}
1 & \frac{\left( \left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}\right)}
{T_{d}z + A \Delta t} \geq \frac{1}{T_{d}} \\
1 - T_{d} A\Delta t
\frac{\left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}}
{\left(T_{d}z + A \Delta t\right)^2} & frac{\left( \left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}\right)}{T_{d}z + A \Delta t} \leq
\frac{1}{T_{d}}
\end{array}
\right.
\]
Further using the range of $z$ valid for the second case
\[
\frac{d}{dz} \mathcal{H}\left(z\right) \geq \left\{ \begin{array}{cl}
1 & \frac{\left( \left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}\right)}
{T_{d}z + A \Delta t} \geq \frac{1}{T_{d}} \\
1 - \frac{A\Delta t}{T_{d}z + A \Delta t} & \frac{\left( \left. s_{uz} \right.\rvert_{t} + \hat{v}_{rz \rightarrow uz}\right)}{T_{d}z + A \Delta t} \leq
\frac{1}{T_{d}}
\end{array}
\right.
\]
From this it can be seen that $\frac{d}{dz} \mathcal{H}\left(z\right) \geq 0$ with
equality possible when $z=0$.