StormReactor: An open-source Python package for the integrated modeling of urban water quality and water balance

Retrofitting watersheds with sensing and control technologies promises to enable autonomous water systems, which control themselves in real-time to improve water quality. To realize this vision, there is a need to improve the degree of fidelity in the underlying representation of pollutant processes...

Full description

Saved in:
Bibliographic Details
Published in:Environmental modelling & software : with environment data news Vol. 145; p. 105175
Main Authors: Mason, Brooke E., Mullapudi, Abhiram, Kerkez, Branko
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.11.2021
Elsevier Science Ltd
Subjects:
assets
case studies
computer software
Denitrification
Model integration
Pollutants
Real time
Real-time control
Retrofitting
Solid suspensions
Stormwater
Stormwater management
Suspended solids
Water balance
Water quality
Water quality control
Watersheds
Model integration
Real-time control
Water balance
Stormwater
Water quality
ISSN:1364-8152, 1873-6726
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Retrofitting watersheds with sensing and control technologies promises to enable autonomous water systems, which control themselves in real-time to improve water quality. To realize this vision, there is a need to improve the degree of fidelity in the underlying representation of pollutant processes. This paper presents an open-source Python package, StormReactor, which integrates the Stormwater Management Model's water balance engine with a new water quality module. StormReactor includes a variety of predefined pollutant generation and treatment processes, while allowing users to implement additional processes on their own. To demonstrate the range of possible water quality methodologies that can be modeled, we simulated suspended solids and nitrates in a real and anonymized stormwater network. To illustrate StormReactor's real-time control capabilities, a control strategy was implemented to maximize denitrification. Case study results indicate a controlled asset can achieve the same pollutant improvements as an uncontrolled asset in a quarter of the spatial footprint. [Display omitted] •StormReactor is a new Python programming interface for simulating pollutants in SWMM.•StormReactor enables modeling pollutant generation processes, like erosion in SWMM.•StormReactor is customizable and requires only a few lines of Python code.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2021.105175