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

Qing Ye, Peishi Gu, Hugh Z. Li, Ellis S. Robinson, Eric M. Lipsky, Christos Kaltsonoudis, Alex K.Y. Lee, Joshua S. Apte, Allen L. Robinson, Ryan C. Sullivan, Albert A. Presto, Neil M. Donahue

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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 km2. 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.

Original languageEnglish (US)
Pages (from-to)6807-6815
Number of pages9
JournalEnvironmental Science and Technology
Volume52
Issue number12
DOIs
StatePublished - Jun 19 2018

Fingerprint

atmospheric particle
metropolitan area
Particle spectrometers
Particulate Matter
Cooking
Mass spectrometers
Aerosols
Ground state
Mass spectrometry
particle
Sampling
Monitoring
Chemical analysis
particulate matter
spectrometer
mass spectrometry
urban area
aerosol

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Environmental Chemistry

Cite this

Ye, Qing ; Gu, Peishi ; Li, Hugh Z. ; Robinson, Ellis S. ; Lipsky, Eric M. ; Kaltsonoudis, Christos ; Lee, Alex K.Y. ; Apte, Joshua S. ; Robinson, Allen L. ; Sullivan, Ryan C. ; Presto, Albert A. ; Donahue, Neil M. / Spatial Variability of Sources and Mixing State of Atmospheric Particles in a Metropolitan Area. In: Environmental Science and Technology. 2018 ; Vol. 52, No. 12. pp. 6807-6815.
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Ye, Q, Gu, P, Li, HZ, Robinson, ES, Lipsky, EM, Kaltsonoudis, C, Lee, AKY, Apte, JS, Robinson, AL, Sullivan, RC, Presto, AA & Donahue, NM 2018, 'Spatial Variability of Sources and Mixing State of Atmospheric Particles in a Metropolitan Area', Environmental Science and Technology, vol. 52, no. 12, pp. 6807-6815. https://doi.org/10.1021/acs.est.8b01011

Spatial Variability of Sources and Mixing State of Atmospheric Particles in a Metropolitan Area. / Ye, Qing; Gu, Peishi; Li, Hugh Z.; Robinson, Ellis S.; Lipsky, Eric M.; Kaltsonoudis, Christos; Lee, Alex K.Y.; Apte, Joshua S.; Robinson, Allen L.; Sullivan, Ryan C.; Presto, Albert A.; Donahue, Neil M.

In: Environmental Science and Technology, Vol. 52, No. 12, 19.06.2018, p. 6807-6815.

Research output: Contribution to journalArticle

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AU - Ye, Qing

AU - Gu, Peishi

AU - Li, Hugh Z.

AU - Robinson, Ellis S.

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AU - Kaltsonoudis, Christos

AU - Lee, Alex K.Y.

AU - Apte, Joshua S.

AU - Robinson, Allen L.

AU - Sullivan, Ryan C.

AU - Presto, Albert A.

AU - Donahue, Neil M.

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