| Literature DB >> 32704490 |
Sue Kimbrough1, Stephen Krabbe2, Richard Baldauf1, Timothy Barzyk3, Matthew Brown2, Steven Brown4, Carry Croghan3, Michael Davis2, Parikshit Deshmukh5, Rachelle Duvall1, Stephen Feinberg6, Vlad Isakov3, Russell Logan5, Tim McArthur7, Amy Shields4.
Abstract
Emissions from transportation sources can impact local air quality and contribute to adverse health effects. The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS), conducted over a 1-year period, researched emissions source characterization in the Argentine, Turner, and Armourdale, Kansas (KS) neighborhoods and the broader southeast Kansas City, KS area. This area is characterized as a near-source environment with impacts from large railyard operations, major roadways, and commercial and industrial facilities. The spatial and meteorological effects of particulate matter less than 2.5 μm (PM2.5), and black carbon (BC) pollutants on potential population exposures were evaluated at multiple sites using a combination of regulatory grade methods and instrumentation, low-cost sensors, citizen science, and mobile monitoring. The initial analysis of a subset of these data showed that mean reference grade PM2.5 concentrations (gravimetric) across all sites ranged from 7.92 to 9.34 μg/m3. Mean PM2.5 concentrations from low-cost sensors ranged from 3.30 to 5.94 μg/m3 (raw, uncorrected data). Pollution wind rose plots suggest that the sites are impacted by higher PM2.5 and BC concentrations when the winds originate near known source locations. Initial data analysis indicated that the observed PM2.5 and BC concentrations are driven by multiple air pollutant sources and meteorological effects. The KC-TRAQS overview and preliminary data analysis presented will provide a framework for forthcoming papers that will further characterize emission source attributions and estimate near-source exposures. This information will ultimately inform and clarify the extent and impact of air pollutants in the Kansas City area.Entities:
Keywords: PM2.5; black carbon; citizen science; low-cost sensors; near-source; railyard
Year: 2019 PMID: 32704490 PMCID: PMC7377253 DOI: 10.3390/chemosensors7020026
Source DB: PubMed Journal: Chemosensors (Basel) ISSN: 2227-9040