In 2021, Environmental Science & Technology convened an ACS Global Webinara on green stormwater infrastructure (GSI) as a tool for environmental justice. Since then, we researchers have continued to discuss advancing GSI science, practice, and priorities. The U.S. Environmental Protection Agency (1) describes green infrastructure as “the range of measures that use plant or soil systems, permeable pavement or other permeable surfaces or substrates, stormwater harvest and reuse, or landscaping to store, infiltrate, or evapotranspirate stormwater and reduce flows to sewer systems or to surface waters.” GSI systems use a variety of names both within the United States and worldwide (e.g., low-impact development, sponge cities, water sensitive cities) and encompasses concepts from physical stormwater design/management practices to sustainable urban planning and urban ecology. (2,3) GSI and, more broadly, other nature-based solutions offer possibilities for improving urban hydrologic function and water quality while providing multiple co-benefits; (4) however, we contend the most important benefit is as a tool to advance environmental justice (EJ). Indeed, if these benefits lack intentionality in process and placement to repair past harms, we miss the greatest opportunity of all. Here we present summarized thoughts concerning strengths, weaknesses and threats, and opportunities for GSI (Figure 1).
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Using rainfall measures to evaluate hydrologic performance of green infrastructure systems under climate change
As climate change alters precipitation patterns, stakeholders will need to understand how performance of green stormwater infrastructure (GSI) could change in response. As an alternative to using on-site monitoring, which may not always feasible, we propose that changes in performance could be tracked using annual rainfall measures (e.g., maximum daily rainfall per year). We estimated performance of GSI in 17 U.S. cities using rainfall measures by establishing linear relationships with specific performance metrics (e.g., frequency of discharge). Prediction accuracy was evaluated in 2 cities for the period 2020 to 2060 by comparing performance predicted from rainfall trends from regional climate models (RCMs) with simulated performance in SWMM using the same RCMs as input. Findings suggest that tracking rainfall measures can provide insight into the hydrologic performance of green infrastructure by predicting the direction of change, as well as, the magnitude within 25% to 50% percent change.
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- Award ID(s):
- 1635638
- PAR ID:
- 10209368
- Date Published:
- Journal Name:
- Sustainable and Resilient Infrastructure
- ISSN:
- 2378-9689
- Page Range / eLocation ID:
- 1 to 25
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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