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view all  View all projects RESEARCH PROJECT

An EPA SWMM Integrated Model for Calculating the Pollutant Removal Efficiency of Low Impact Development Practices

Principal Investigators

Graduate Student

 
Dr. Soheil Gholamreza-Kashi
Dr. Soheil Gholamreza-Kashi, PhD, P.Eng
Position:

Sr. Water Resources Engineer, AECOM

Research interests:
  • Low Impact Development (LID)
  • Storm water management
Contact:
soheil.kashifoo@aecom.com
Darko Joksimovic
Darko Joksimovic, PhD
Position:

Associate Professor, Ryerson University

Research interests:
  • Modelling, decision support and optimization of urban water systems:
    • Low Impact Development (LID) techniques
    • Integrated water reuse
    • Maintenance of storm water management (SWM) ponds
    • Sewer flow monitoring and modelling
    • Public-private partnerships in SWM
    • Incident management in water distribution systems
  • Remote sensing applications in urban drainage
  • Data-driven modelling
  • Artificial intelligence in modelling and optimization (Genetic Algorithms, Artificial Neural Networks)
Other projects:
- Utilizing GIS in the Development of Detailed Distribution Urban Drainage Models
Contact:
darkojfoo@ryerson.ca
4169795000
Thomas Tiveron
Thomas Tiveron
Position:

Research Associate, Ryerson University

Research interests:
  • Urban water resources
  • Storm water modelling
Contact:
thomas.tiveronfoo@ryerson.ca
 

Timeline

September 2016 - TBD


ABSTRACT

Currently, most conservation authorities and municipalities in Canada are moving toward encouraging and even mandating the use of Low Impact Development (LID) practices for stormwater management. Understanding the performance of LIDs is very important for their evaluation against minimum stormwater management criteria; hence, in the approval process of new developments. The objective of this study is to better estimate the pollutant removal efficiency of infiltration based LIDs, such as bioretention cells, permeable pavements, dry swales, etc., using numerical simulation. A model is developed, which incorporates each unique site’s characteristics into its calculation of the runoff treatment, including removal of Total Suspended Solids (TSS). Previously developed filtration equations, which had been successfully applied to infiltration practices, were selected to model the pollutant removal efficiency of LIDs. The equations were adapted to integrate with the widely used EPA SWMM, through its Add-in Tools feature. Continuous modelling is applied to investigate the long-term performance of such practices, including clogging of the filter media. Monitoring data for various LID practices has been collected and are available through different institutions. This data is used to calibrate and verify the developed model, indicating that a close match between the predicted removal efficiency of different LIDs and monitoring results can be obtained. Simulation results are benchmarked against the results from other software that has some capability of calculating pollutant removal by LIDs, including WinSLAMM. The results of this study may be used as reference in the approval process of the proposed stormwater management facilities for new and retrofit developments.


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