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.

from pathlib import Path

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

assert toml_path.is_file()

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

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
fid
0	1	2020-01-01 00:00:00	Cl	0.0	0.0
1	1	2020-01-02 00:00:00	Cl	1.0	1.0
2	1	2020-01-01 00:00:00	Tracer	1.0	1.0
3	3	2020-01-01 00:00:00	Cl	0.0	0.0
4	3	2020-01-02 00:00:00	Cl	1.0	1.0
5	3	2020-01-01 00:00:00	Tracer	1.0	1.0
6	6	2020-01-01 00:00:00	Cl	0.0	0.0
7	6	2020-01-02 00:00:00	Cl	1.0	1.0
8	6	2020-01-01 00:00:00	Tracer	1.0	1.0
9	9	2020-01-01 00:00:00	Cl	0.0	0.0
10	9	2020-01-02 00:00:00	Cl	1.0	1.0
11	9	2020-01-01 00:00:00	Tracer	1.0	1.0

FlowBoundary / concentration

	node_id	time	substance	concentration
fid
0	15	2020-01-01 00:00:00	Cl	0.0
1	15	2020-01-01 00:00:00	Tracer	1.0
2	16	2020-01-01 00:00:00	Cl	0.0
3	16	2020-01-01 00:00:00	Tracer	1.0

LevelBoundary / concentration

	node_id	time	substance	concentration
fid
0	11	2020-01-01 00:00:00	Cl	34.0
1	17	2020-01-01 00:00:00	Cl	34.0

model.basin.profile

Basin / profile

	node_id	area	level
fid
0	1	0.01	0.0
1	1	1000.0	1.0
2	3	0.01	0.0
3	3	1000.0	1.0
4	6	0.01	0.0
5	6	1000.0	1.0
6	9	0.01	0.0
7	9	1000.0	1.0

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 00:00:00	Cl	0.0
1	15	2020-01-01 00:00:00	Tracer	1.0
2	16	2020-01-01 00:00:00	Cl	0.0
3	16	2020-01-01 00:00:00	Tracer	1.0
4	15	2020-01-01 00:00:00	Bar	1.0

LevelBoundary / concentration

	node_id	time	substance	concentration
fid
0	11	2020-01-01 00:00:00	Cl	34.0
1	17	2020-01-01 00:00:00	Cl	34.0
2	11	2020-01-01 00:00:00	Foo	1.0

PosixPath('../../generated_testmodels/basic/ribasim.toml')

Given the path to a completed Ribasim simulation, we can call ribasim.delwaq.generate for generating the required input files for Delwaq from scratch.

from ribasim.delwaq import generate

output_path = Path("../../generated_testmodels/basic/delwaq")

graph, substances = generate(toml_path, output_path)

/home/runner/work/Ribasim/Ribasim/python/ribasim/ribasim/delwaq/generate.py:415: 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

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/ribasim.vol'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim_bndlist.inc'),
 PosixPath('../../generated_testmodels/basic/delwaq/bndlist.csv'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.atr'),
 PosixPath('../../generated_testmodels/basic/delwaq/flows.csv'),
 PosixPath('../../generated_testmodels/basic/delwaq/delwaq.inp'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.are'),
 PosixPath('../../generated_testmodels/basic/delwaq/B5_bounddata.inc'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.nc'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.vel'),
 PosixPath('../../generated_testmodels/basic/delwaq/volumes.csv'),
 PosixPath('../../generated_testmodels/basic/delwaq/dimr_config.xml'),
 PosixPath('../../generated_testmodels/basic/delwaq/network.csv'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.flo'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.len'),
 PosixPath('../../generated_testmodels/basic/delwaq/ribasim.poi')]

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',
 'Terminal',
 '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.

1 Parsing the results

With Delwaq having run, we can now parse the results using ribasim.delwaq.parse. This function requires the graph and substances variables that were output by ribasim.delwaq.generate, as well as the path to the results folder of the Delwaq simulation.

from ribasim.delwaq import parse

nmodel = parse(toml_path, graph, substances, output_folder=output_path)

The parsed model is identical to the Ribasim model, with the exception of the added concentration_external table that contains all tracer results from Delwaq.

display(nmodel.basin.concentration_external)
print(substances)
t = nmodel.basin.concentration_external.df
t[t.time == t.time.unique()[2]]

Basin / concentration_external

	time	node_id	concentration	substance
fid
0	2020-01-01 00:00:00	1	0.0	Terminal
1464	2020-01-01 00:00:00	1	1.0	Continuity
2928	2020-01-01 00:00:00	1	0.0	Bar
4392	2020-01-01 00:00:00	1	1.0	Initial
5856	2020-01-01 00:00:00	1	0.0	FlowBoundary
...	...	...	...	...
11711	2020-12-31 00:00:00	9	0.330137	Precipitation
13175	2020-12-31 00:00:00	9	0.970239	Tracer
14639	2020-12-31 00:00:00	9	0.0	Drainage
16103	2020-12-31 00:00:00	9	0.010949	Foo
17567	2020-12-31 00:00:00	9	0.0	UserDemand

17568 rows × 4 columns

{'Terminal', 'Continuity', 'Bar', 'Initial', 'FlowBoundary', 'LevelBoundary', 'Cl', 'Precipitation', 'Tracer', 'Drainage', 'Foo', 'UserDemand'}

	time	node_id	concentration	substance
fid
8	2020-01-03 00:00:00	1	0.0	Terminal
1472	2020-01-03 00:00:00	1	1.0	Continuity
2936	2020-01-03 00:00:00	1	0.0	Bar
4400	2020-01-03 00:00:00	1	0.044259	Initial
5864	2020-01-03 00:00:00	1	0.744403	FlowBoundary
7328	2020-01-03 00:00:00	1	0.034251	LevelBoundary
8792	2020-01-03 00:00:00	1	1.164538	Cl
10256	2020-01-03 00:00:00	1	0.177087	Precipitation
11720	2020-01-03 00:00:00	1	0.92149	Tracer
13184	2020-01-03 00:00:00	1	0.0	Drainage
14648	2020-01-03 00:00:00	1	0.034251	Foo
16112	2020-01-03 00:00:00	1	0.0	UserDemand
9	2020-01-03 00:00:00	3	0.0	Terminal
1473	2020-01-03 00:00:00	3	1.0	Continuity
2937	2020-01-03 00:00:00	3	0.0	Bar
4401	2020-01-03 00:00:00	3	0.029275	Initial
5865	2020-01-03 00:00:00	3	0.0	FlowBoundary
7329	2020-01-03 00:00:00	3	0.851086	LevelBoundary
8793	2020-01-03 00:00:00	3	28.936922	Cl
10257	2020-01-03 00:00:00	3	0.119639	Precipitation
11721	2020-01-03 00:00:00	3	0.119639	Tracer
13185	2020-01-03 00:00:00	3	0.0	Drainage
14649	2020-01-03 00:00:00	3	0.851086	Foo
16113	2020-01-03 00:00:00	3	0.0	UserDemand
10	2020-01-03 00:00:00	6	0.0	Terminal
1474	2020-01-03 00:00:00	6	1.0	Continuity
2938	2020-01-03 00:00:00	6	0.748699	Bar
4402	2020-01-03 00:00:00	6	0.032499	Initial
5866	2020-01-03 00:00:00	6	0.748699	FlowBoundary
7330	2020-01-03 00:00:00	6	0.03994	LevelBoundary
8794	2020-01-03 00:00:00	6	1.357952	Cl
10258	2020-01-03 00:00:00	6	0.178862	Precipitation
11722	2020-01-03 00:00:00	6	0.927561	Tracer
13186	2020-01-03 00:00:00	6	0.0	Drainage
14650	2020-01-03 00:00:00	6	0.03994	Foo
16114	2020-01-03 00:00:00	6	0.0	UserDemand
11	2020-01-03 00:00:00	9	0.0	Terminal
1475	2020-01-03 00:00:00	9	1.0	Continuity
2939	2020-01-03 00:00:00	9	0.04955	Bar
4403	2020-01-03 00:00:00	9	0.0078	Initial
5867	2020-01-03 00:00:00	9	0.04955	FlowBoundary
7331	2020-01-03 00:00:00	9	0.913229	LevelBoundary
8795	2020-01-03 00:00:00	9	31.049776	Cl
10259	2020-01-03 00:00:00	9	0.029421	Precipitation
11723	2020-01-03 00:00:00	9	0.078971	Tracer
13187	2020-01-03 00:00:00	9	0.0	Drainage
14651	2020-01-03 00:00:00	9	0.002296	Foo
16115	2020-01-03 00:00:00	9	0.0	UserDemand

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_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")  # ratio of Meuse to Rhine