Stormwater Symposium

Oral

394446 - Understanding green stormwater infrastructure with fractal based sewer models

Monday, June 4
10:30 AM - 12:00 PM
Location: Mirage Room
Co-Authors: Franco Montalto, Philadelphia – Drexel University

Sewer models are used to simulate complex urban hydrology. However, the development of physically based models can be difficult given the limited availability of sewer plans and the time required to incorporate the actual system layout including pipe locations, sizes, inverts, and catchment characteristics. By contrast, fractal geometries could potentially be used to overcome some of these constraints. In this study, a highly impervious residential urban catchment serviced by a combined sewer in East Boston, Massachusetts is modeled using Storm Water Management Model (SWMM). Two different modeling techniques are compared. The first is a physically based model developed from the physical characteristic of the network obtained from municipal sewer maps; the second is an artificial model developed based on fractal scaling laws often used to describe natural river basins. These models are used to demonstrate the hydrologic effect of various forms of green stormwater infrastructure (GSI) at the catchment scale under present and future climate conditions.

Scott Jeffers, PhD, PE

Water Solutions Consultant
Bentley Systems

Scott is a recent PhD graduate of the Drexel University Sustainable Water Resource Engineering Lab studying green infrastructure and urban water resource management. His career spans both the professional consulting world and academia designing separate stormwater sewers in Philadelphia, partnering with research initiatives at the New York City Department of Environmental Protection and Department of Park and Recreations, and was a teaching fellow at Drexel. Currently an employee at Bentley Systems, Scott helps guide consulting engineers with hydraulic and hydrology modeling needs. He believes in green solutions to urban environmental issues that promote sustainable planning for the future.

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