Spatial Variability of Sources and Mixing State of Atmospheric Particles in a Metropolitan Area

被引:42
|
作者
Ye, Qing [1 ]
Gu, Peishi [1 ,2 ]
Li, Hugh Z. [1 ,2 ]
Robinson, Ellis S. [1 ,2 ]
Lipsky, Eric [3 ]
Kaltsonoudis, Cristos [1 ]
Lee, Alex K. Y. [4 ]
Apte, Joshua S. [5 ]
Robinson, Allen L. [1 ,2 ]
Sullivan, Ryan C. [1 ,2 ]
Presto, Albert A. [1 ,2 ]
Donahue, Neil M. [1 ]
机构
[1] Carnegie Mellon Univ, Ctr Atmospher Particle Studies, Pittsburgh, PA 15213 USA
[2] Carnegie Mellon Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA
[3] Penn State Greater Allegheny, 4000 Univ Dr, McKeesport, PA 15132 USA
[4] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore
[5] 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
PARTICULATE AIR-POLLUTION; USE REGRESSION-MODELS; MASS-SPECTROMETER; ORGANIC AEROSOLS; BLACK CARBON; OPTICAL-PROPERTIES; MOLECULAR-WEIGHT; HYDROCARBON-LIKE; SOOT; PITTSBURGH;
D O I
10.1021/acs.est.8b01011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Characterizing intracity variations of atmospheric particulate matter has mostly relied on fixed-site monitoring and quantifying variability in terms of different bulk aerosol species. In this study, we performed ground-based mobile measurements using a single-particle mass spectrometer to study spatial patterns of source-specific particles and the evolution of particle mixing state in 21 areas in the metropolitan area of Pittsburgh, PA. We selected sampling areas based on traffic density and restaurant density with each area ranging from 0.2 to 2 km(2). Organics dominate particle composition in all of the areas we sampled while the sources of organics differ. The contribution of particles from traffic and restaurant cooking varies greatly on the neighborhood scale. We also investigate how primary and aged components in particles mix across the urban scale. Lastly we quantify and map the particle mixing state for all areas we sampled and discuss the overall pattern of mixing state evolution and its implications. We find that in the upwind and downwind of the urban areas, particles are more internally mixed while in the city center, particle mixing state shows large spatial heterogeneity that is mostly driven by emissions. This study is to our knowledge, the first study to perform fine spatial scale mapping of particle mixing state using ground-based mobile measurement and single-particle mass spectrometry.
引用
收藏
页码:6807 / 6815
页数:9
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