| Overall Rating | Silver - expired |
|---|---|
| Overall Score | 46.44 |
| Liaison | Rachel Kornhauser |
| Submission Date | March 2, 2018 |
| Executive Letter | Download |
State University of New York at Oneonta
IN-15: Stormwater Modeling
| Status | Score | Responsible Party |
|---|---|---|
|
0.50 / 0.50 |
Rachel
Kornhauser Sustainability Coordinator Finance and Administration |
"---"
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 campus Facilities Department employs a sophisticated GIS model which incorporated all known documentation about the College's stormwater system dating back to 1930. It is complete in the sense that it documents all stormwater structures, piping, and slope measurements and drainage basins including landscape types and soils. THe campus has engaged in the installation of many typical practices include stormwater retention vaults, bioretention swales, ponds, and bioinfiltration basins.
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):
5
Optional Fields
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Additional documentation to support the submission:
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Data source(s) and notes about the submission:
The campus' efforts to retain significant amounts of stormwater are in it's infancy but due to terrain, slopes, annual precipitation and available land surface. The campus' long range goal is to retain stormwater in the 25th percentile.
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.