Intracity Variability of Particulate Matter Exposure Is Driven by Carbonaceous Sources and Correlated with Land-Use Variables

被引:44
作者
Gu, Peishi [1 ]
Li, Hugh Z. [1 ]
Ye, Qing [1 ]
Robinson, Ellis S. [1 ]
Apte, Joshua S. [2 ]
Robinson, Allen L. [1 ]
Presto, Albert A. [1 ]
机构
[1] Carnegie Mellon Univ, Ctr Atmospher Particle Studies, Pittsburgh, PA 15213 USA
[2] Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
USE REGRESSION-MODELS; POSITIVE MATRIX FACTORIZATION; SECONDARY ORGANIC AEROSOL; AIR-POLLUTION; SPATIAL VARIATION; CHEMICAL-COMPOSITION; SOURCE APPORTIONMENT; MASS-SPECTROMETER; PM2.5; ABSORBENCY; EMISSION FACTORS;
D O I
10.1021/acs.est.8b03833
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Localized primary emissions of carbonaceous aerosol are the major drivers of intracity variability of submicron particulate matter (PM,) concentrations. We investigated spatial variations in PM, composition with mobile sampling in Pittsburgh, Pennsylvania, United States and performed source apportionment analysis to attribute primary organic aerosol (OA) to traffic (HOA) and cooking OA (COA). In high-source-impact locations, the PM, concentration is, on average, 2 mu g m(-3) (40%) higher than urban background locations. Traffic emissions are the largest source contributing to population weighted exposures to primary PM. Vehicle-miles traveled (VMT) can be used to reliably predict the concentration of HOA and localized black carbon (BC) in air pollutant spatial models. Restaurant count is a useful but imperfect predictor for COA concentration, likely due to highly variable emissions from individual restaurants. Near-road cooking emissions can be falsely attributed to traffic sources in the absence of PM source apportionment. In Pittsburgh, 28% and 9% of the total population are exposed to >1 mu g m(-3) of traffic- and cooking-related primary emissions, with some populations impacted by both sources. The source mix in many U.S. cities is similar; thus, we expect similar PM spatial patterns and increased exposure in high-source areas in other cities.
引用
收藏
页码:11545 / 11554
页数:10
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