Socioeconomic and racial disparities in source-apportioned PM2.5 levels across urban areas in the contiguous US, 2010. (15th June 2023)

• Record Type: Journal Article
• Authors: Knobel, Pablo; Hwang, Inhye; Castro, Edgar; Sheffield, Perry; Holaday, Louisa; Shi, Liuhua; Amini, Heresh; Schwartz, Joel; Yitshak Sade, Maayan
• Is Part Of: Atmospheric environment. Volume 303(2023)
• Publication Date: 2023-06-15
• Subjects: PM2.5 Fine Particulate Matter -- SES Socioeconomic Status -- DALY Disability-adjusted Life Year -- RUCA Rural-Urban Commuting Area -- ACS American Community Survey -- NMF Non-negative Matrix Factorization; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2023.119753
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: Fine particulate matter (PM2.5 ) air pollution exposure is associated with short and long-term health effects. Several studies found differences in PM2.5 exposure associated with neighborhood racial and socioeconomic composition. However, most focused on total PM2.5 mass rather than its chemical components and their sources. In this study, we describe the ZIP code characteristics that drive the disparities in exposure to PM2.5 chemical components attributed to source categories both nationally and regionally. We obtained annual mean predictions of PM2.5 and fourteen of its chemical components from spatiotemporal models and socioeconomic and racial predictor variables from the 2010 US Census, and the American Community Survey 5-year estimates. We used non-negative matrix factorization to attribute the chemical components to five source categories. We fit generalized nonlinear models to assess the associations between the neighborhood predictors and each PM2.5 source category in urban areas in the United States in 2010 (n = 25, 790 zip codes). We observed higher PM2.5 levels in ZIP codes with higher proportions of Black individuals and lower socioeconomic status. Racial exposure disparities were mainly attributed to Heavy Fuel, Oil and Industrial, Metal Processing Industry and Agricultural, and Motor Vehicle sources. Economic disparities were mainly attributed to Soil and Crustal Dust, Heavy Fuel Oil and Industrial, Metal Processing Industry and Agricultural, and Motor Vehicle sources. Upon further analysis through stratifying by regions within the United States, we found that the associations between ZIP code characteristics and source-attributed PM2.5 levels were generally greater in Western states. In conclusion, racial, socioeconomic, and geographic inequalities in exposure to PM2.5 and its components are driven by systematic differences in component sources that can inform air quality improvement strategies. Highlights: Literature on exposure disparities focuses on PM2.5 mass instead of components. Each PM2.5 component has different sources and health effects. There are socioeconomic and racial exposure disparities in PM2.5 and its components. Exposure disparities differ amongst US regions.