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Identifying PM2.5 and PM0.1 sources for epidemiological studies in California

  • Jianlin Hu
  • , Hongliang Zhang
  • , Shuhua Chen
  • , Qi Ying
  • , Christine Wiedinmyer
  • , Francois Vandenberghe
  • , Michael J. Kleeman

Research output: Contribution to journalArticlepeer-review

80 Scopus citations

Abstract

The University of California-Davis-Primary (UCD-P) model was applied to simultaneously track ∼900 source contributions to primary particulate matter (PM) in California for seven continuous years (January 1st, 2000 to December 31st, 2006). Predicted source contributions to primary PM2.5 mass, PM1.8 elemental carbon (EC), PM1.8 organic carbon (OC), PM0.1 EC, and PM0.1 OC were in general agreement with the results from previous source apportionment studies using receptor-based techniques. All sources were further subjected to a constraint check based on model performance for PM trace elemental composition. A total of 151 PM 2.5 sources and 71 PM0.1 sources contained PM elements that were predicted at concentrations in general agreement with measured values at nearby monitoring sites. Significant spatial heterogeneity was predicted among the 151 PM2.5 and 71 PM0.1 source concentrations, and significantly different seasonal profiles were predicted for PM 2.5 and PM0.1 in central California vs southern California. Population-weighted concentrations of PM emitted from various sources calculated using the UCD-P model spatial information differed from the central monitor estimates by up to 77% for primary PM2.5 mass and 148% for PM2.5 EC because the central monitor concentration is not representative of exposure for nearby population. The results from the UCD-P model provide enhanced source apportionment information for epidemiological studies to examine the relationship between health effects and concentrations of primary PM from individual sources.

Original languageEnglish
Pages (from-to)4980-4990
Number of pages11
JournalEnvironmental Science and Technology
Volume48
Issue number9
DOIs
StatePublished - May 6 2014

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