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Socioeconomic and racial disparities in source-apportioned PM2.5 levels across urban areas in the contiguous US, 2010
被引:12
|作者:
Knobel, Pablo
[1
,5
]
Hwang, Inhye
[1
]
Castro, Edgar
[2
]
Sheffield, Perry
[1
]
Holaday, Louisa
[3
]
Shi, Liuhua
[4
]
Amini, Heresh
[1
]
Schwartz, Joel
[2
]
Sade, Maayan Yitshak
[1
]
机构:
[1] Icahn Sch Med Mt Sinai, Dept Environm Med & Publ Hlth, New York, NY USA
[2] Harvard TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA USA
[3] Mt Sinai Sch Med, Dept Med, Div Gen Internal Med, New York, NY USA
[4] Emory Univ, Rollins Sch Publ Hlth, Gangarosa Dept Environm Hlth, Atlanta, GA USA
[5] Gustave L Levy Pl,Box 1057, New York, NY 10029 USA
基金:
美国国家卫生研究院;
关键词:
AIR-POLLUTION EXPOSURE;
ENVIRONMENTAL INEQUALITY;
PARTICULATE MATTER;
FINE;
POPULATION;
PARTICLES;
INCOME;
D O I:
10.1016/j.atmosenv.2023.119753
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
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 socio-economic 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 Pro-cessing 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.
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页数:8
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