| Overall Rating | Gold - expired |
|---|---|
| Overall Score | 68.49 |
| Liaison | Ryan Todd |
| Submission Date | March 1, 2021 |
California State University, Sacramento
IN-36: Stormwater Modeling
| Status | Score | Responsible Party |
|---|---|---|
|
0.25 / 0.50 |
"---"
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:
Campus is subject to the CA Phase II MS4 permit, which allows three different means for calculating required rainfall capture:
85th percentile design storm. Historical rainfall data is ranked, and the 85th percentile is used.
80 percent capture. Annual rainfall over a 30 or so year period is total and the annual average rainfall is calculated. Runoff captured must be 80 percent of this value.
Bioretention facilities with specified characteristics can be used, sized at 4% of the catchment. (Rainfall is not involved).
The Office of Water Programs developed a sizing tool for all Phase II Permittees in the state that can be used to size LID/GI for any of these methods.
85th percentile design storm. Historical rainfall data is ranked, and the 85th percentile is used.
80 percent capture. Annual rainfall over a 30 or so year period is total and the annual average rainfall is calculated. Runoff captured must be 80 percent of this value.
Bioretention facilities with specified characteristics can be used, sized at 4% of the catchment. (Rainfall is not involved).
The Office of Water Programs developed a sizing tool for all Phase II Permittees in the state that can be used to size LID/GI for any of these methods.
Percentile of local or regional rainfall events for which the institution manages runoff on-site using LID practices and green infrastructure:
85th
Optional Fields
Additional documentation to support the submission:
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Data source(s) and notes about the submission:
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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.