Provided by: grass-doc_7.8.2-1build3_all 
NAME
r.solute.transport - Numerical calculation program for transient, confined and unconfined
solute transport in two dimensions
KEYWORDS
raster, hydrology, solute transport
SYNOPSIS
r.solute.transport
r.solute.transport --help
r.solute.transport [-fc] c=name phead=name hc_x=name hc_y=name status=name diff_x=name
diff_y=name [q=name] [cin=name] cs=name rd=name nf=name top=name bottom=name
output=name [vx=name] [vy=name] dtime=float [maxit=integer] [error=float]
[solver=name] [relax=float] [al=float] [at=float] [loops=float] [stab=string]
[--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
-f
Use a full filled quadratic linear equation system, default is a sparse linear
equation system.
-c
Use the Courant-Friedrichs-Lewy criteria for time step calculation
--overwrite
Allow output files to overwrite existing files
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog
Parameters:
c=name [required]
The initial concentration in [kg/m^3]
phead=name [required]
The piezometric head in [m]
hc_x=name [required]
The x-part of the hydraulic conductivity tensor in [m/s]
hc_y=name [required]
The y-part of the hydraulic conductivity tensor in [m/s]
status=name [required]
The status for each cell, = 0 - inactive cell, 1 - active cell, 2 - dirichlet- and 3 -
transfer boundary condition
diff_x=name [required]
The x-part of the diffusion tensor in [m^2/s]
diff_y=name [required]
The y-part of the diffusion tensor in [m^2/s]
q=name
Groundwater sources and sinks in [m^3/s]
cin=name
Concentration sources and sinks bounded to a water source or sink in [kg/s]
cs=name [required]
Concentration of inner sources and inner sinks in [kg/s] (i.e. a chemical reaction)
rd=name [required]
Retardation factor [-]
nf=name [required]
Effective porosity [-]
top=name [required]
Top surface of the aquifer in [m]
bottom=name [required]
Bottom surface of the aquifer in [m]
output=name [required]
The resulting concentration of the numerical solute transport calculation will be
written to this map. [kg/m^3]
vx=name
Calculate and store the groundwater filter velocity vector part in x direction [m/s]
vy=name
Calculate and store the groundwater filter velocity vector part in y direction [m/s]
dtime=float [required]
The calculation time in seconds
Default: 86400
maxit=integer
Maximum number of iteration used to solve the linear equation system
Default: 10000
error=float
Error break criteria for iterative solver
Default: 0.000001
solver=name
The type of solver which should solve the linear equation system
Options: gauss, lu, jacobi, sor, bicgstab
Default: bicgstab
relax=float
The relaxation parameter used by the jacobi and sor solver for speedup or stabilizing
Default: 1
al=float
The longditudinal dispersivity length. [m]
Default: 0.0
at=float
The transversal dispersivity length. [m]
Default: 0.0
loops=float
Use this number of time loops if the CFL flag is off. The timestep will become
dt/loops.
Default: 1
stab=string
Set the flow stabilizing scheme (full or exponential upwinding).
Options: full, exp
Default: full
DESCRIPTION
This numerical program calculates numerical implicit transient and steady state solute
transport in porous media in the saturated zone of an aquifer. The computation is based on
raster maps and the current region settings. All initial- and boundary-conditions must be
provided as raster maps. The unit in the location must be meters.
This module is sensitive to mask settings. All cells which are outside the mask are
ignored and handled as no flow boundaries.
This module calculates the concentration of the solution and optional the velocity field,
based on the hydraulic conductivity, the effective porosity and the initial piecometric
heads. The vector components can be visualized with paraview if they are exported with
r.out.vtk.
Use r.gwflow to compute the piezometric heights of the aquifer. The piezometric heights
and the hydraulic conductivity are used to compute the flow direction and the mean
velocity of the groundwater. This is the base of the solute transport computation.
The solute transport will always be calculated transient. For stady state computation set
the timestep to a large number (billions of seconds).
To reduce the numerical dispersion, which is a consequence of the convection term and the
finite volume discretization, you can use small time steps and choose between full and
exponential upwinding.
NOTES
The solute transport calculation is based on a diffusion/convection partial differential
equation and a numerical implicit finite volume discretization. Specific for this kind of
differential equation is the combination of a diffusion/dispersion term and a convection
term. The discretization results in an unsymmetric linear equation system in form of Ax =
b, which must be solved. The solute transport partial differential equation is of the
following form:
(dc/dt)*R = div ( D grad c - uc) + cs -q/nf(c - c_in)
• c -- the concentration [kg/m^3]
• u -- vector of mean groundwater flow velocity
• dt -- the time step for transient calculation in seconds [s]
• R -- the linear retardation coefficient [-]
• D -- the diffusion and dispersion tensor [m^2/s]
• cs -- inner concentration sources/sinks [kg/m^3]
• c_in -- the solute concentration of influent water [kg/m^3]
• q -- inner well sources/sinks [m^3/s]
• nf -- the effective porosity [-]
Three different boundary conditions are implemented, the Dirichlet, Transmission and
Neumann conditions. The calculation and boundary status of single cells can be set with
the status map. The following states are supportet:
• 0 == inactive - the cell with status 0 will not be calculated, active cells will
have a no flow boundary to an inactive cell
• 1 == active - this cell is used for sloute transport calculation, inner sources
can be defined for those cells
• 2 == Dirichlet - cells of this type will have a fixed concentration value which do
not change over time
• 3 == Transmission - cells of this type should be placed on out-flow boundaries to
assure the flow of the solute stream out
Note that all required raster maps are read into main memory. Additionally the linear
equation system will be allocated, so the memory consumption of this module rapidely grow
with the size of the input maps.
The resulting linear equation system Ax = b can be solved with several solvers. Several
iterative solvers with unsymmetric sparse and quadratic matrices support are implemented.
The jacobi method, the Gauss-Seidel method and the biconjugate gradients-stabilized
(bicgstab) method. Additionally a direct Gauss solver and LU solver are available. Those
direct solvers only work with quadratic matrices, so be careful using them with large maps
(maps of size 10.000 cells will need more than one gigabyte of ram). Always prefer a
sparse matrix solver.
EXAMPLE
Use this small python script to create a working groundwater flow / solute transport area
and data. Make sure you are not in a lat/lon projection.
#!/usr/bin/env python3
# This is an example script how groundwater flow and solute transport are
# computed within grass
import sys
import os
import grass.script as grass
# Overwrite existing maps
grass.run_command("g.gisenv", set="OVERWRITE=1")
grass.message(_("Set the region"))
# The area is 200m x 100m with a cell size of 1m x 1m
grass.run_command("g.region", res=1, res3=1, t=10, b=0, n=100, s=0, w=0, e=200)
grass.run_command("r.mapcalc", expression="phead = if(col() == 1 , 50, 40)")
grass.run_command("r.mapcalc", expression="phead = if(col() ==200 , 45 + row()/40, phead)")
grass.run_command("r.mapcalc", expression="status = if(col() == 1 || col() == 200 , 2, 1)")
grass.run_command("r.mapcalc", expression="well = if((row() == 50 && col() == 175) || (row() == 10 && col() == 135) , -0.001, 0)")
grass.run_command("r.mapcalc", expression="hydcond = 0.00005")
grass.run_command("r.mapcalc", expression="recharge = 0")
grass.run_command("r.mapcalc", expression="top_conf = 20")
grass.run_command("r.mapcalc", expression="bottom = 0")
grass.run_command("r.mapcalc", expression="poros = 0.17")
grass.run_command("r.mapcalc", expression="syield = 0.0001")
grass.run_command("r.mapcalc", expression="null = 0.0")
grass.message(_("Compute a steady state groundwater flow"))
grass.run_command("r.gwflow", solver="cg", top="top_conf", bottom="bottom", phead="phead",\
status="status", hc_x="hydcond", hc_y="hydcond", q="well", s="syield",\
recharge="recharge", output="gwresult_conf", dt=8640000000000, type="confined")
grass.message(_("generate the transport data"))
grass.run_command("r.mapcalc", expression="c = if(col() == 15 && row() == 75 , 500.0, 0.0)")
grass.run_command("r.mapcalc", expression="cs = if(col() == 15 && row() == 75 , 0.0, 0.0)")
grass.run_command("r.mapcalc", expression="tstatus = if(col() == 1 || col() == 200 , 3, 1)")
grass.run_command("r.mapcalc", expression="diff = 0.0000001")
grass.run_command("r.mapcalc", expression="R = 1.0")
# Compute the initial state
grass.run_command("r.solute.transport", solver="bicgstab", top="top_conf",\
bottom="bottom", phead="gwresult_conf", status="tstatus", hc_x="hydcond", hc_y="hydcond",\
rd="R", cs="cs", q="well", nf="poros", output="stresult_conf_0", dt=3600, diff_x="diff",\
diff_y="diff", c="c", al=0.1, at=0.01)
# Compute the solute transport for 300 days in 10 day steps
for dt in range(30):
grass.run_command("r.solute.transport", solver="bicgstab", top="top_conf",\
bottom="bottom", phead="gwresult_conf", status="tstatus", hc_x="hydcond", hc_y="hydcond",\
rd="R", cs="cs", q="well", nf="poros", output="stresult_conf_" + str(dt + 1), dt=864000, diff_x="diff",\
diff_y="diff", c="stresult_conf_" + str(dt), al=0.1, at=0.01)
SEE ALSO
r.gwflow
r3.gwflow
r.out.vtk
AUTHOR
Sören Gebbert
This work is based on the Diploma Thesis of Sören Gebbert available here at Technical
University Berlin in Germany.
SOURCE CODE
Available at: r.solute.transport source code (history)
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