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Updated: May 13, 2025

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

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Published on: May 15, 2017

Intelligent control of combined sewer systems using PySWMM-A Python wrapper for EPA's Stormwater Management Model.

M E Tryby¹, C A Buahin¹, B E McDonnell²

¹United States Environmental Protection Agency, Office of Research and Development, Andrew W. Breidenbach Environmental Research Center, Cincinnati, 45268, OH, USA.

Environmental Modelling & Software : with Environment Data News

|April 16, 2025

Summary

This summary is machine-generated.

Intelligent water systems use automated controls to manage wastewater infrastructure, reducing combined sewer overflows. PySWMM, an open-source tool, enhances these systems by integrating with Python

Keywords:

Combined sewer overflows Intelligent water systems RT-DSS Real time control Storm water management model

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Area of Science:

Environmental Engineering
Water Resource Management
Computational Hydraulics

Background:

Wastewater utilities balance public health and infrastructure maintenance under budget constraints.
Small to medium-sized utilities often face significant financial limitations.
Aging infrastructure necessitates cost-effective solutions beyond traditional upgrades.

Purpose of the Study:

To introduce PySWMM, an open-source Python wrapper for the EPA Storm Water Management Model (SWMM).
To enable advanced real-time control strategies for intelligent water systems.
To demonstrate the application of PySWMM in mitigating combined sewer overflows.

Main Methods:

Developed PySWMM as a Python interface for the SWMM computational engine.
Facilitated runtime interaction to modify SWMM parameters and control simulations.
Integrated SWMM with Python's scientific computing, big data, and machine learning libraries.
Applied PySWMM in real-world case studies in Cincinnati and Columbus, Ohio.

Main Results:

PySWMM allows flexible runtime control and parameter modification of SWMM simulations.
The tool enables the integration of advanced algorithms with established hydrologic and hydraulic models.
Case studies demonstrated significant reductions in combined sewer overflows.

Conclusions:

PySWMM offers a powerful, open-source solution for developing sophisticated intelligent water control strategies.
The integration of PySWMM with Python's ecosystem facilitates data-driven optimization of wastewater systems.
Intelligent water approaches, enabled by tools like PySWMM, are effective in addressing combined sewer overflows and improving water quality.