Stormwater Symposium

Oral

397208 - Monitoring the Performance of a Green Alley to Improve Engineering Design Criteria

Thursday, June 7
8:30 AM - 10:00 AM
Location: Mirage Room
Co-Authors: Joseph Naughton, Milwaukee, WI – Marquette University

Urban areas across the world face risks from an increase in combined sewer overflows (CSOs), flooding, and surface water quality impairments - problems that are only getting worse due to population growth, development, and climate change. In response, many cities are investing heavily in green infrastructure projects to meet the pressing demand for increased flood control and water quality treatment of runoff. This is a prudent investment, as green infrastructure is a resilient and adaptable solution to meeting runoff goals in the face of uncertainty; however, a significant challenge is accurately attributing engineering design criteria, such as gallons captured or Total Suspended Solids removed, to green infrastructure that to date has been shown to be highly variable in performance from long-term monitoring studies. This study seeks to overcome this challenge by applying monitoring data of pervious pavements to the development of engineering design criteria. This study presents results from the monitoring of a pervious pavement or “green” alley in Wauwatosa, WI to evaluate how it meets flow-based requirements over time. Using this data, as well as other pervious pavement monitoring data collected from the international BMP database, assumptions within the engineering design methodology specific to the Milwaukee Metropolitan Sewerage District region are tested. Examples of assumptions include the omission of underdrain flow in peak flow computations and volume retention capacity coefficients. In addition, strategies to modify existing engineering design criteria based upon monitoring results are proposed. Taken as a whole, the results demonstrate how monitoring data from green infrastructure can be used to improve local design guidelines.

Walter McDonald


Marquette University

Dr. McDonald is currently an assistant professor at Marquette University in Civil, Construction & Environmental Engineering. He obtained a PhD in Civil Engineering from Virginia Tech in 2016 and holds a MS in Civil Engineering (2012) from Texas A&M University and a BS in Civil Engineering (2010) from Texas Tech University. While at Virginia Tech his PhD research integrated an innovative span of environmental sensors, urban stormwater management, and statistical hydrology. His major research interest include developing novel methods to design, manage, and monitor green stormwater infrastructure under changing land use patterns and climate variability. His work also evaluates the uncertainty and quality of hydrologic data, while concurrently seeking to develop a greater understanding of how we can use that data to solve increasingly complex and ambiguous problems.

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