Overall Rating Silver - expired
Overall Score 53.23
Liaison Michael Iversen
Submission Date Dec. 14, 2017
Executive Letter Download

STARS v2.1

St. Lawrence University
IN-15: Stormwater Modeling

Status Score Responsible Party
Complete 0.50 / 0.50
"---" 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 uses the USDA-NRCS Technical Release 55 (TR-55) –Hydrology for Small Watersheds model. This model is widely used for stormwater hydrology and features full hydrograph development using TR-20 computational engine, capability to change the rainfall distribution and the dimensionless unit hydrograph, Muskingum-Cunge channel routing, updated reservoir routing procedure, and graphical hydrograph output. The University uses the TR-55 in conjunction with the USEPAs stormwater calculator to plan and to assess the impact(s) of green infrastructure.


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):
90th

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:

SDA-NRCS Technical Release 55 (TR-55) –Hydrology for Small Watersheds model.: https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb1042897.pdf

USEPA Stormwater Calculator: https://www.epa.gov/water-research/national-stormwater-calculator


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.