|Submission Date||March 6, 2020|
IN-36: Stormwater Modeling
|0.50 / 0.50||
Director of Sustainability
Office of Sustainability
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:
Swarthmore's Environmental Sustainability Framework used two models, HydroCAD and WinnSLAMM, to conduct a stormwater management analysis to evaluate stormwater peak rate, volume, and quality management for the College's Master Plan. This analysis modeled different scenarios, with and without stormwater best management practices, to quantify the impact and inform targets for all future campus construction projects. As set out in this Framework, the College aims to manage the 98th percentile event using low-impact development and green infrastructure.
To date, numerous such practices have been implemented, including:
-In an effort to manage storm water runoff, Swarthmore has installed porous pavement, green roofs, rain gardens, infiltration beds, and underground infiltration systems that help to absorb rainwater before it runs off.
-Cisterns are used to capture storm water runoff so that it may be used for landscape irrigation.
-A biostream behind McCabe library helps to collect rainwater in a natural feature in the landscape.
-Four green roofs, totaling approximately 15,000 square feet, absorb rainwater while also providing natural habitat; a fifth green roof, a retrofit of the Lang Performing Arts Center roof, is planned.
-The College's newest building, Singer Hall, uses rainwater harvesting, storage, and usage, which reduces potable water consumption by using rainwater for water flushing of water closets.
The Environmental Sustainability Framework is available here: https://www.swarthmore.edu/sustainability/sustainable-building
Percentile of local or regional rainfall events for which the institution manages runoff on-site using LID practices and green infrastructure:
Website URL where information about the stormwater modeling is available:
Additional documentation to support 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 and complete the Data Inquiry Form.