Storm Water Management Model: Performance Review and Gap Analysis - link to PDF
Storm Water Management Model: Performance Review and Gap Analysis
Abstract: The storm water management model (SWMM) is a widely used tool for urban drainage design and planning. Hundreds of peer reviewed
articles and conference proceedings have been written describing applications of SWMM. This review focuses on collecting information
on model performance with respect to calibration and validation in the peer-reviewed literature. The major developmental history
and applications of the model are also presented. The results provide utility to others looking for a quick reference to gauge the integrity of
their own unique SWMM application. A gap analysis assesses the model’s ability to perform water-quality simulations considering green
infrastructure (GI)/low impact development (LID) designs and effectiveness. It is concluded that the level of detail underlying the conceptual
model of SWMM versus its overall computational parsimony is well balanced—making it an adequate model for large and medium-scale
hydrologic applications. However, embedding a new mechanistic algorithm or providing user guidance for coupling with other models will
be necessary to realistically simulate diffuse pollutant sources, their fate and transport, and the effectiveness of GI/LID implementation
scenarios. DOI: 10.1061/JSWBAY.0000817. © 2017 American Society of Civil Engineers.
Storm Water Management Model: Performance Review and Gap Analysis
Mehran Niazi; Chris Nietch; Mahdi Maghrebi, A.M.ASCE; Nicole Jackson; Brittany R. Bennett; Michael Tryby; and Arash Massoudieh, M.ASCE
Abstract: The storm water management model (SWMM) is a widely used tool for urban drainage design and planning. Hundreds of peer reviewed
articles and conference proceedings have been written describing applications of SWMM. This review focuses on collecting information
on model performance with respect to calibration and validation in the peer-reviewed literature. The major developmental history
and applications of the model are also presented. The results provide utility to others looking for a quick reference to gauge the integrity of
their own unique SWMM application. A gap analysis assesses the model’s ability to perform water-quality simulations considering green
infrastructure (GI)/low impact development (LID) designs and effectiveness. It is concluded that the level of detail underlying the conceptual
model of SWMM versus its overall computational parsimony is well balanced—making it an adequate model for large and medium-scale
hydrologic applications. However, embedding a new mechanistic algorithm or providing user guidance for coupling with other models will
be necessary to realistically simulate diffuse pollutant sources, their fate and transport, and the effectiveness of GI/LID implementation
scenarios. DOI: 10.1061/JSWBAY.0000817. © 2017 American Society of Civil Engineers.
