| Overall Rating | Gold - expired |
|---|---|
| Overall Score | 66.65 |
| Liaison | John Gardner |
| Submission Date | Nov. 27, 2019 |
| Executive Letter | Download |
University of Wisconsin-Milwaukee
IN-15: Stormwater Modeling
| Status | Score | Responsible Party |
|---|---|---|
|
0.50 / 0.50 |
Kate
Nelson Chief Sustainability Officer Office of Sustainability |
A brief description of the institution’s stormwater modeling program and/or practices, including the methodologies and tools used:
UWM's Stormwater planning and modeling is extensive. Green infrastructure and cisterns diverts 16.5 million gallons annually. UWM has a zero-discharge goal and plan that was based on the EPA SWMM model, with an initial focus on reducing peak flow to the city's combined sewer system. GI performance has been modeled and verified by Veolia and several research projects.
For which of the following percentile local or regional rainfall events does the institution retain runoff on-site using LID practices and green infrastructure? (95th, 90th, 85th, 80th, 75th, Other):
The percentile local or regional rainfall event for which the institution retains runoff on-site using LID practices and green infrastructure (0-100):
The website URL where information about the programs or initiatives is available:
Additional documentation to support the submission:
Data source(s) and notes about the submission:
The goal for campus is set as a peak discharge rate of 0.5 cfs/acre for a 100-year storm (in 2006 UWM had an estimated stormwater runoff rate of 120 cubic feet per second during a 100-year storm. Deployment of green infrastructure on campus has significantly decreased that runoff rate, diverts 16.5 million gallons annually.
The goal for campus is set as a peak discharge rate of 0.5 cfs/acre for a 100-year storm (in 2006 UWM had an estimated stormwater runoff rate of 120 cubic feet per second during a 100-year storm. Deployment of green infrastructure on campus has significantly decreased that runoff rate, diverts 16.5 million gallons annually.
The information presented here is self-reported. While AASHE staff review portions of all STARS reports and institutions are welcome to seek additional forms of review, the data in STARS reports are not verified by AASHE. If you believe any of this information is erroneous or inconsistent with credit criteria, please review the process for inquiring about the information reported by an institution or simply email your inquiry to stars@aashe.org.