Community-based participatory research for low-cost air pollution monitoring in the wake of unconventional oil and gas development in the Ohio River Valley: Empowering impacted residents through community science. (1st June 2022)

• Record Type: Journal Article
• Authors: Raheja, Garima; Harper, Leatra; Hoffman, Ana; Gorby, Yuri; Freese, Lyssa; O'Leary, Brendan; Deron, Nathan; Smith, Shannon; Auch, Ted; Goodwin, Melissa; Westervelt, Daniel M
• Is Part Of: Environmental research letters. Volume 17:Number 6(2022)
• Publication Date: 2022-06-01
• Subjects: community-based -- participatory -- low-cost -- pollution -- monitoring -- citizen science -- equity; Environmental sciences -- Periodicals; Human ecology -- Research -- Periodicals; Environmental health -- Periodicals; 333.7
• DOI: 10.1088/1748-9326/ac6ad6
• Languages: English
• ISSNs: 1748-9326

Abstract

Abstract: Belmont County, Ohio is heavily dominated by unconventional oil and gas development that results in high levels of ambient air pollution. Residents here chose to work with a national volunteer network to develop a method of participatory science to answer questions about the association between impact on the health of their community and pollution exposure from the many industrial point sources in the county and surrounding area and river valley. After first directing their questions to the government agencies responsible for permitting and protecting public health, residents noted the lack of detailed data and understanding of the impact of these industries. These residents and environmental advocates are using the resulting science to open a dialogue with the EPA in hopes to ultimately collaboratively develop air quality standards that better protect public health. Results from comparing measurements from a citizen-led participatory low-cost, high-density air pollution sensor network of 35 particulate matter and 25 volatile organic compound sensors against regulatory monitors show low correlations (consistently R 2 < 0.55). This network analysis combined with complementary models of emission plumes are revealing the inadequacy of the sparse regulatory air pollution monitoring network in the area, and opening many avenues for public health officials to further verify people's experiences and act in the interest of residents' health with enforcement and informed permitting practices. Further, the collaborative best practices developed by this study serve as a launchpad for other community science efforts looking to monitor local air quality in response to industrial growth.