Ribasim Delwaq coupling

In order to generate the Delwaq input files, we need a completed Ribasim simulation (typically one with a results folder) that ideally also includes some substances and initial concentrations. Let’s take the basic test model for example, which already has set some initial concentrations.

All testmodels can be downloaded from here.

1 Generating Delwaq input

from pathlib import Path

toml_path = Path("../../generated_testmodels/basic/ribasim.toml")

This Ribasim model already has substance concentrations for Cl and Tracer in the input tables, and we will use these to generate the Delwaq input files.

from ribasim import Model, run_ribasim

model = Model.read(toml_path)

display(model.basin.concentration_state)  # basin initial state
display(model.basin.concentration)  # basin boundaries
display(model.flow_boundary.concentration)  # flow boundaries
display(model.level_boundary.concentration)  # level boundaries
model.plot();  # for later comparison
Basin / concentration_state
node_id substance concentration
fid
0 1 Cl 0.0
1 3 Cl 0.0
2 6 Cl 0.0
3 9 Cl 0.0
Basin / concentration
node_id time substance drainage precipitation surface_runoff
fid
0 1 2020-01-01 Cl 0.0 0.0 0.0
1 1 2020-01-02 Cl 1.0 1.0 1.0
2 1 2020-01-01 Tracer 1.0 1.0 1.0
3 3 2020-01-01 Cl 0.0 0.0 0.0
4 3 2020-01-02 Cl 1.0 1.0 1.0
5 3 2020-01-01 Tracer 1.0 1.0 1.0
6 6 2020-01-01 Cl 0.0 0.0 0.0
7 6 2020-01-02 Cl 1.0 1.0 1.0
8 6 2020-01-01 Tracer 1.0 1.0 1.0
9 9 2020-01-01 Cl 0.0 0.0 0.0
10 9 2020-01-02 Cl 1.0 1.0 1.0
11 9 2020-01-01 Tracer 1.0 1.0 1.0
FlowBoundary / concentration
node_id time substance concentration
fid
0 15 2020-01-01 Cl 0.0
1 15 2020-01-01 Tracer 1.0
2 16 2020-01-01 Cl 0.0
3 16 2020-01-01 Tracer 1.0
LevelBoundary / concentration
node_id time substance concentration
fid
0 11 2020-01-01 Cl 34.0
1 17 2020-01-01 Cl 34.0

model.basin.profile
Basin / profile
node_id area level storage
fid
0 1 0.01 0.0 NaN
1 1 1000.00 1.0 NaN
2 3 0.01 0.0 NaN
3 3 1000.00 1.0 NaN
4 6 0.01 0.0 NaN
5 6 1000.00 1.0 NaN
6 9 0.01 0.0 NaN
7 9 1000.00 1.0 NaN

Let’s add another tracer to the model, to setup a fraction calculation.

from ribasim.delwaq import add_tracer

add_tracer(model, 11, "Foo")
add_tracer(model, 15, "Bar")
display(model.flow_boundary.concentration)  # flow boundaries
display(model.level_boundary.concentration)  # flow boundaries

model.write(toml_path)
FlowBoundary / concentration
node_id time substance concentration
fid
0 15 2020-01-01 Cl 0.0
1 15 2020-01-01 Tracer 1.0
2 16 2020-01-01 Cl 0.0
3 16 2020-01-01 Tracer 1.0
4 15 2020-01-01 Bar 1.0
LevelBoundary / concentration
node_id time substance concentration
fid
0 11 2020-01-01 Cl 34.0
1 17 2020-01-01 Cl 34.0
2 11 2020-01-01 Foo 1.0
PosixPath('../../generated_testmodels/basic/ribasim.toml')
run_ribasim(toml_path)
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⠀⢿⣿⢇⣿⠃⠈⠃⣰⣿⣿⣧⠀⣠⣈⣛⠿⠀⠀⠀  Ribasim v2026.1.0-rc2

⠀⠀⠰⣿⣧⣀⠀⠰⣿⣿⣿⣿⡇⠀⠈⢹⣿⡦⠀⠀  Water resources modeling

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┌ Info: Starting a Ribasim simulation at 2026-03-17T09:27:52.209.

│   toml_path = "../../generated_testmodels/basic/ribasim.toml"

│   ribasim_version = "2026.1.0-rc2"

│   ribasim_home = "/home/runner/.julia/juliaup/julia-1.12.5+0.x64.linux.gnu"

│   starttime = 2020-01-01T00:00:00

│   endtime = 2021-01-01T00:00:00

└   threads = 1

┌ Warning: The following experimental features are enabled: concentration

└ @ Ribasim /home/runner/work/Ribasim/Ribasim/core/src/logging.jl:56

Simulating   0%|                                        |  ETA: N/A

Simulating   6%|██▎                                     |  ETA: 0:03:01

Simulating  33%|█████████████▎                          |  ETA: 0:00:22

Simulating  60%|████████████████████████▏               |  ETA: 0:00:07

Simulating  88%|███████████████████████████████████▏    |  ETA: 0:00:02

Simulating 100%|████████████████████████████████████████| Time: 0:00:11

[ Info: Computation time: 8 seconds, 182 milliseconds

[ Info: Writing results.

[ Info: The model finished successfully at 2026-03-17T09:28:44.284.

Given the path to a completed Ribasim simulation, we can call ribasim.delwaq.generate for generating the required input files for Delwaq from scratch. ribasim.delwaq.generate either takes a Model instance, or the path to a toml file, as well as an output_path keyword, where the input for Delwaq will be written. By default it is set to the delwaq folder next to the toml.

from ribasim.delwaq import generate

# The default path is the delwaq folder next to the toml
output_path = Path("../../generated_testmodels/basic/delwaq")

graph, substances = generate(model, output_path)
/home/runner/work/Ribasim/Ribasim/python/ribasim/ribasim/delwaq/generate.py:504: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  volumes["riba_node_id"] = volumes.loc[:, "node_id"]

This call produces a handful of files in the user defined folder. Let’s take a look at them:

list(output_path.iterdir())
[PosixPath('../../generated_testmodels/basic/delwaq/B8_initials.inc'),
 PosixPath('../../generated_testmodels/basic/delwaq/B6_wasteloads.inc'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.nc'),
 PosixPath('../../generated_testmodels/basic/delwaq/B5_bounddata.inc'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.vel'),
 PosixPath('../../generated_testmodels/basic/delwaq/delwaq.inp'),
 PosixPath('../../generated_testmodels/basic/delwaq/dimr_config.xml'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.poi'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.len'),
 PosixPath('../../generated_testmodels/basic/delwaq/network.csv'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.atr'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.are'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.flo'),
 PosixPath('../../generated_testmodels/basic/delwaq/bndlist.csv'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.vol'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim_bndlist.inc')]

These files form a complete Delwaq simulation, and can be run by either pointing DIMR to the dimr_config.xml file or pointing Delwaq to the delwaq.inp file.

Note that the call to generate produces two output variables; graph and substances that are required for parsing the results of the Delwaq model later on. Nonetheless, we can also inspect them here, and inspect the created Delwaq network.

substances  # list of substances, as will be present in the Delwaq netcdf output
{'Bar',
 'Cl',
 'Continuity',
 'Drainage',
 'FlowBoundary',
 'Foo',
 'Initial',
 'LevelBoundary',
 'Precipitation',
 'SurfaceRunoff',
 'Tracer',
 'UserDemand'}

As you can see, the complete substances list is a combination of user input (Cl and Tracer in the input tables), a Continuity tracer, and tracers for all nodetypes in the Ribasim model. The latter tracers allow for deeper inspection of the Ribasim model, such as debugging the mass balance by plotting fraction graphs. Let’s inspect the graph next, which is the Delwaq network that was created from the Ribasim model:

import matplotlib.pyplot as plt
import networkx as nx

# Let's draw the graph
fig, ax = plt.subplots(1, 2, figsize=(10, 5))
nx.draw(
    graph,
    pos={k: v["pos"] for k, v in graph.nodes(data=True)},
    with_labels=True,
    labels={k: k for k, v in graph.nodes(data=True)},
    ax=ax[0],
)
ax[0].set_title("Delwaq node IDs")
nx.draw(
    graph,
    pos={k: v["pos"] for k, v in graph.nodes(data=True)},
    with_labels=True,
    labels={k: v["id"] for k, v in graph.nodes(data=True)},
    ax=ax[1],
)
ax[1].set_title("Ribasim node IDs")
fig.suptitle("Delwaq network");

Here we plotted the Delwaq network twice, with the node IDs as used by Delwaq on the left hand side, and the corresponding Ribasim node IDs on the right hand side. As you can see, the Delwaq network is very similar to the Ribasim network, with some notable changes:

  • All non-Basin or non-boundary types are removed (e.g. no more Pumps or TabulatedRatingCurves)
  • Basin boundaries are split into separate nodes and links (drainage, precipitation, and evaporation, as indicated by the duplicated Basin IDs on the right hand side)
  • All node IDs have been renumbered, with boundaries being negative, and Basins being positive.

2 Parsing the results

With Delwaq having run, we can now parse the results using ribasim.delwaq.parse. This function requires either a path to a toml file, or a Model instance, as well as the graph and substances variables that were output by ribasim.delwaq.generate. You can optionally set the path to the results folder of the Delwaq simulation, if you overrode the default during ribasim.delwaq.generate.

from ribasim.delwaq import parse

nmodel_nc = parse(model, graph, substances, to_input=False)

concentration_nc = toml_path.parent / "results" / "concentration.nc"
concentration_nc
PosixPath('../../generated_testmodels/basic/results/concentration.nc')

By default (to_input=False), the parsed model writes the Delwaq tracer results to results/concentration.nc and does not populate the Basin / concentration_external table.

# Parse Delwaq results and also populate Basin / concentration_external for plotting
nmodel = parse(model, graph, substances, to_input=True)
display(nmodel.basin.concentration_external)
print(substances)
t = nmodel.basin.concentration_external.df
# Show the first available timestep
t[t.time == t.time.unique()[0]]
Basin / concentration_external
time node_id concentration substance
fid
0 2020-01-01 1 0.000000 UserDemand
1464 2020-01-01 1 0.000000 SurfaceRunoff
2928 2020-01-01 1 0.000000 Tracer
4392 2020-01-01 1 0.000000 FlowBoundary
5856 2020-01-01 1 0.000000 Cl
... ... ... ... ...
11711 2020-12-31 9 0.009059 Foo
13175 2020-12-31 9 0.019346 LevelBoundary
14639 2020-12-31 9 0.499193 Bar
16103 2020-12-31 9 0.999999 Continuity
17567 2020-12-31 9 0.000088 Initial

17568 rows × 4 columns

{'UserDemand', 'SurfaceRunoff', 'Tracer', 'FlowBoundary', 'Cl', 'Drainage', 'Precipitation', 'Foo', 'LevelBoundary', 'Bar', 'Continuity', 'Initial'}
time node_id concentration substance
fid
0 2020-01-01 1 0.0 UserDemand
1464 2020-01-01 1 0.0 SurfaceRunoff
2928 2020-01-01 1 0.0 Tracer
4392 2020-01-01 1 0.0 FlowBoundary
5856 2020-01-01 1 0.0 Cl
7320 2020-01-01 1 0.0 Drainage
8784 2020-01-01 1 0.0 Precipitation
10248 2020-01-01 1 0.0 Foo
11712 2020-01-01 1 0.0 LevelBoundary
13176 2020-01-01 1 0.0 Bar
14640 2020-01-01 1 1.0 Continuity
16104 2020-01-01 1 1.0 Initial
1 2020-01-01 3 0.0 UserDemand
1465 2020-01-01 3 0.0 SurfaceRunoff
2929 2020-01-01 3 0.0 Tracer
4393 2020-01-01 3 0.0 FlowBoundary
5857 2020-01-01 3 0.0 Cl
7321 2020-01-01 3 0.0 Drainage
8785 2020-01-01 3 0.0 Precipitation
10249 2020-01-01 3 0.0 Foo
11713 2020-01-01 3 0.0 LevelBoundary
13177 2020-01-01 3 0.0 Bar
14641 2020-01-01 3 1.0 Continuity
16105 2020-01-01 3 1.0 Initial
2 2020-01-01 6 0.0 UserDemand
1466 2020-01-01 6 0.0 SurfaceRunoff
2930 2020-01-01 6 0.0 Tracer
4394 2020-01-01 6 0.0 FlowBoundary
5858 2020-01-01 6 0.0 Cl
7322 2020-01-01 6 0.0 Drainage
8786 2020-01-01 6 0.0 Precipitation
10250 2020-01-01 6 0.0 Foo
11714 2020-01-01 6 0.0 LevelBoundary
13178 2020-01-01 6 0.0 Bar
14642 2020-01-01 6 1.0 Continuity
16106 2020-01-01 6 1.0 Initial
3 2020-01-01 9 0.0 UserDemand
1467 2020-01-01 9 0.0 SurfaceRunoff
2931 2020-01-01 9 0.0 Tracer
4395 2020-01-01 9 0.0 FlowBoundary
5859 2020-01-01 9 0.0 Cl
7323 2020-01-01 9 0.0 Drainage
8787 2020-01-01 9 0.0 Precipitation
10251 2020-01-01 9 0.0 Foo
11715 2020-01-01 9 0.0 LevelBoundary
13179 2020-01-01 9 0.0 Bar
14643 2020-01-01 9 1.0 Continuity
16107 2020-01-01 9 1.0 Initial

We can use this table to plot the results of the Delwaq model, both spatially as over time.

from ribasim.delwaq import plot_fraction

# Plot default tracers (sum to 1), plus custom tracers on node 9
plot_fraction(nmodel, 1)  # default tracers, should add up to 1
plot_fraction(nmodel, 9, ["Foo", "Bar"])  # custom tracers
plot_fraction(nmodel, 9, ["Continuity"])  # mass balance check

from ribasim.delwaq import plot_spatial

plot_spatial(nmodel, "Bar")
plot_spatial(nmodel, "Foo", versus="Bar")