Technical Workshop: A Hands-on Workshop for the EPA Stormwater Management Model

Abstract Submission: The developers of the Environmental Protection Agency’s (EPA) Storm Water Management Model (SWMM) at the Office of Research and Development (ORD) and partners are pleased to offer a hands-on workshop focused on the SWMM model at this year's ASCE conference. This full-day workshop is designed for students, engineers, researchers, and professionals in the field of stormwater/wastewater management who seek to deepen their understanding of SWMM and its applications in real-world scenarios. The workshop will cover a broad range of topics, starting with an overview of EPA SWMM and a review of case studies that highlight its practical applications. Participants will engage in model setup exercises, focusing on simple open channel networks, and will explore SWMM5’s hydrology and hydraulics features in depth. The workshop will also delve into stormwater management strategies for new developments, including green stormwater infrastructure and low-impact development modeling. Attendees will have the opportunity to learn about the latest features and future vision for EPA SWMM, and the day will conclude with a workshop wrap-up that ties together the key concepts and applications discussed. In addition to the core content, bonus material will be available for those interested in further exploration. This includes lectures on water quality, model calibration, proposed pipe, and storage/pump improvements, as well as local demonstrations on rainfall and runoff analysis, long-term continuous simulation, and snowmelt and groundwater model setup. This workshop will be an informative and interactive experience, providing attendees with the knowledge and skills needed to effectively utilize SWMM in their future projects.

Disclaimer: The views expressed in this abstract are those of the authors and do not necessarily represent the views or the policies of the U.S. Environmental Protection Agency; therefore, no official endorsement should be inferred.

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