| Overall Rating | Gold |
|---|---|
| Overall Score | 65.09 |
| Liaison | Shane Stennes |
| Submission Date | Jan. 11, 2023 |
University of Minnesota, Twin Cities
IN-36: Stormwater Modeling
| Status | Score | Responsible Party |
|---|---|---|
|
0.50 / 0.50 |
Cathy
Abene Civil Engineer Energy Mgmt |
"---"
indicates that no data was submitted for this field
A brief description of the methodology/tool used to calculate the percentile local or regional rainfall events for which the institution manages runoff on-site using LID practices and green infrastructure:
We have campus stormwater models, prioritizing areas of campus drainage to campus storm sewer and areas of development. We use PCSWMM as our modeling tool.
Pleasant Street, a busy street on the East Bank campus acts as a gateway to the University. It was recently reconstructed to improve drainage design and gave the university the opportunity to incorporate sustainable storm water management to the area. The updated storm water system included tree trenches, permeable pavement, and a bioretention basin to manage the quality of water.
Pleasant Street, a busy street on the East Bank campus acts as a gateway to the University. It was recently reconstructed to improve drainage design and gave the university the opportunity to incorporate sustainable storm water management to the area. The updated storm water system included tree trenches, permeable pavement, and a bioretention basin to manage the quality of water.
Percentile of local or regional rainfall events for which the institution manages runoff on-site using LID practices and green infrastructure:
90th
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.