StormReactor was developed to expand the ability to model stormwater quality and water quality based real-time control in EPA's Stormwater Management Model (SWMM). It is a natural extension of Open-Storm's(http://open-storm.org/) mission to open up and ease access into the technical world of smart stormwater systems. StormReactor enables users to model any stormwater pollutant treatment or generation method in any node or link in a stormwater network. A user can implement any SWMM treatment function defined in the SWMM Reference Manual Volume III: Water Quality, select from a few additional methods we built, or create their own.

Note: In order to use StormReactor's ability to change the pollutant concentration in a node, you MUST have treatment enabled in the SWMM input file. This means if you open your input file in a text editor, it should have a treatment listed for the node you want to access. When StormReactor runs, it will replace the treatment in the input file with the method you want. See snippet from an example input file below.

STORAGE]
;;Name           Elev.    MaxDepth   InitDepth  Shape      Curve Name/Params            N/A      Fevap    Psi      Ksat     IMD     
;;-------------- -------- ---------- ----------- ---------- ---------------------------- -------- --------          -------- --------
Tank             10       5          0          TABULAR    Tank_Curve                   0        0       

[POLLUTANTS]
;;Name           Units  Crain      Cgw        Crdii      Kdecay     SnowOnly   Co-Pollutant     Co-Frac    Cdwf       Cinit     
;;-------------- ------ ---------- ---------- ---------- ---------- ---------- ---------------- ---------- ---------- ----------
P1               MG/L   0.0        0.0        0          0.0        NO         *                0.0        0.0        0                     
[TREATMENT]
;;Node           Pollutant        Function  
;;-------------- ---------------- ----------
Tank             P1               R = 0.5

Requirements

• python 3.6+
• numpy
• pyswmm
• scipy

Due to the nature of working on open-source software, we are still waiting for all of the necessary changes to SWMM, swmm-python, and pyswmm are accepted into their respective code bases. The SWMM pull request can be found here: pyswmm/Stormwater-Management-Model#368. The swmm-python pull request can be found here: pyswmm/swmm-python#94. Finally, the pyswmm pull request can be found here: pyswmm/pyswmm#335. Once these pull requests are aceepted, the final version of StormReactor will be available through PyPI at https://pypi.python.org/pypi/StormReactor/.

$ pip install StormReactor

For now, if you would like to use StormReactor, please download directly from the following GitHub repositories:
StormReactor: pip install git+https://github.com/kLabUM/StormReactor.git PySWMM: pip install git+https://github.com/bemason/pyswmm/tree/water_quality swmm-python: pip install git+https://github.com/bemason/swmm-python SWMM: pip install git+https://github.com/OpenWaterAnalytics/Stormwater-Management-Model.git

Please raise an issue on the repository or reach out if you run into any issues installing or using the package.

Here is a simple example on how to use StormReactor for modeling a variety of water quality methods (e.g., gravity settling, erosion) for a pollutant (e.g., TSS) in several stormwater assets (e.g., basin, channel). This example covers all existing pollutant treatment and generation methods in StormReactor except a completely stirred tank reactor (CSTR). Please see the next example for modeling a CSTR.

# import packages
import StormReactor
from pyswmm import Simulation

# build water quality configuration dictionary
config = {'detention_basin': { 'pollutant': 'P1', 'method': 'GravitySettling', 'parameters': {'k': 0.0005, 'C_s': 21.0}},\
			'channel': { 'pollutant': 'P1', 'method': 'Erosion', 'parameters': {'w': 10.0, 'So': 0.037, 'Ss': 1.6, 'd50': 0.04}},\
					{ 'pollutant': 'P1', 'method': 'GravitySettling', 'parameters': {'k': 0.0005, 'C_s': 21.0}}}


# initialize water quality
with Simulation('example1.inp') as sim:
	WQ = waterQuality(sim, config)

	for step in sim:
		# update each time step
		WQ.updateWQState()

Here is a simple example for modeling a CSTR for a pollutant (e.g., nitrate) in several stormwater assets (e.g., basin, wetland). Note you must call updateWQState_CSTR(index) instead of updateWQState() because the CSTR code requires the additonal input of index. This is the only difference for modeling a CSTR.

# import packages
import StormReactor
from pyswmm import Simulation

# build water quality configuration dictionary
config = {'detention_basin': { 'pollutant': 'P1', 'method': 'CSTR', 'parameters': {'k': -0.0005, 'n': 1.0, 'Co': 10.0}},\
			'wetland': { 'pollutant': 'P1', 'method': 'CSTR', 'parameters': {'k': -0.000089, 'n': 3.0, 'Co': 10.0}}}


# initialize water quality
with Simulation('example2.inp') as sim:
	WQ = waterQuality(sim, config)

	for step in sim:
		# update each time step
		WQ.updateWQState_CSTR(index)

To create a new water quality method, follow the steps below:

1. Fork the repository to your own personal repository.
2. Add the name of your new method to the water quality methods definition in waterQuality() within waterQuality.py

# Water quality methods
self.method = {
    "EventMeanConc": self._EventMeanConc,
    "ConstantRemoval": self._ConstantRemoval,
    "CoRemoval": self._CoRemoval,
    "ConcDependRemoval": self._ConcDependRemoval,
    "NthOrderReaction": self._NthOrderReaction,
    "kCModel": self._kCModel,
    "GravitySettling": self._GravitySettling,
    "CSTR": self._CSTRSolver,
    "Phosphorus": self._Phosphorus,
    "NewMethod": self._NewMethod
    }

3. Add the definition of your new water quality method to the end of waterQuality() within waterQuality.py. Be sure to include all the necessary method inputs including self, ID, pollutant_ID, dictionary, and flag. You can use any of the PySWMM/SWMMM getters to get necessary water quantity and quality values for your model. Also be sure to set "parameters = dictionary" so that you can access your inputs in your dictionary. Once your model code is added, don't forget to set the new node and link concentrations in SWMM using the appropriate setters.

def _NewMethod(self, ID, pollutant_ID, dictionary, flag):
	"""
	Add method description and required parameters.
	"""
	# Set parameters = dictionary so you can access your dictionary parameters.
	parameters = dictionary

	"""
	CODE BLOCK
	New method code to calculate new pollutant concentration, here referred to as Cnew.
	Set the concentration in SWMM using the appropriate setters using the flag feature.
	"""
	if self.flag == 0:
		self.sim._model.setNodePollut(ID, pollutant_ID, Cnew)
	else:
		self.sim._model.setLinkPollut(ID, pollutant_ID, Cnew)
	

4. Now run your new model! Modify code as needed.

Our issue tracker is at https://github.com/kLabUM/StormReactor/issues. Please report any bugs that you find. Or even better, fork the repository on GitHub and create a pull request. All changes are welcome, big or small, and we will help make the pull request if you are new to git (just ask on the issue).

If you want to contribute your water quality methods to StormReactor, please follow these steps:

1. Raise an issue on the issue tracker at https://github.com/kLabUM/StormReactor/issues to describe the new method you are proposing to add.
2. Follow the steps above in "Creating Your Own Water Quality Method" to build your new method.
3. Create tests to confirm your new method works. Please follow the format for node and link tests as shown at https://github.com/kLabUM/StormReactor/tree/master/tests.
4. Submit a pull request at https://github.com/kLabUM/StormReactor/pulls to merge your edits with the existing StormReactor code base. Note: There might be comments, suggestions, and questions. We're all working together to produce cohesive and high-quality software.