| Overall Rating | Silver - expired |
|---|---|
| Overall Score | 63.29 |
| Liaison | Geory Kurtzhals |
| Submission Date | Oct. 13, 2017 |
| Executive Letter | Download |
University of Notre Dame
IN-15: Stormwater Modeling
| Status | Score | Responsible Party |
|---|---|---|
|
0.50 / 0.50 |
Mike
Seamon Vice President Campus Safety & University Operatis |
"---"
indicates that no data was submitted for this field
A brief description of the institution’s stormwater modeling program and/or practices, including the methodologies and tools used:
The University's storm water model includes all mainline storm water conveyance systems, as well as those pipes 12" or greater. Some areas that are prone to flooding are modeled in greater detail. The model was first created in 2000 for the University's Storm and Sanitary Sewer Master Plan and is updated periodically when new development occurs and new conveyances are installed. The model is a SWMM model based on EPAs' SWMM engine, using XP-SWMM graphical user interface. It was calibrated using actual field metered storm sewer data. The model is used as a tool for future planning as well as troubleshooting problem areas.
LID practices are employed. All new development that drains to either of the campus lakes gets treated prior to discharge. This is done through proprietary best management practices (BMPs) such as water quality units, swirl separators, retention basins, etc. The only storm water on campus that does not go to the lakes, goes to the sculpture park storm water basin, which is designed to retain the first 1" of rainfall from the watershed it services.
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):
Other (specify below)
The percentile local or regional rainfall event for which the institution retains runoff on-site using LID practices and green infrastructure (0-100):
55
Optional Fields
---
Additional documentation to support the submission:
---
Data source(s) and notes about the submission:
---
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.