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Source Characterization and Exposure Modeling of Gas-Phase Polycyclic Aromatic Hydrocarbon (PAH) Concentrations in Southern California.
Masri, Shahir; Li, Lianfa; Dang, Andy; Chung, Judith H; Chen, Jiu-Chiuan; Fan, Zhi-Hua Tina; Wu, Jun.
Affiliation
  • Masri S; Program in Public Health, College of Health Sciences, University of California, Irvine, CA, 92697, U.S.A.
  • Li L; State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Dang A; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, 90032, U.S.A.
  • Chung JH; Program in Public Health, College of Health Sciences, University of California, Irvine, CA, 92697, U.S.A.
  • Chen JC; University of California, Irvine Medical Center, Orange, 92868, CA, U.S.A.
  • Fan ZT; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, 90032, U.S.A.
  • Wu J; New Jersey Department of Health and Senior Services, Program of Chemical Terrorism, Biomonitoring, and Food Service ECLS/PHILEP, Trenton, NJ, 08625 U.S.A.
Atmos Environ (1994) ; 177: 175-186, 2018 Mar.
Article in En | MEDLINE | ID: mdl-29808078
ABSTRACT
Airborne exposures to polycyclic aromatic hydrocarbons (PAHs) are associated with adverse health outcomes. Because personal air measurements of PAHs are labor intensive and costly, spatial PAH exposure models are useful for epidemiological studies. However, few studies provide adequate spatial coverage to reflect intra-urban variability of ambient PAHs. In this study, we collected 39-40 weekly gas-phase PAH samples in southern California twice in summer and twice in winter, 2009, in order to characterize PAH source contributions and develop spatial models that can estimate gas-phase PAH concentrations at a high resolution. A spatial mixed regression model was constructed, including such variables as roadway, traffic, land-use, vegetation index, commercial cooking facilities, meteorology, and population density. Cross validation of the model resulted in an R2 of 0.66 for summer and 0.77 for winter. Results showed higher total PAH concentrations in winter. Pyrogenic sources, such as fossil fuels and diesel exhaust, were the most dominant contributors to total PAHs. PAH sources varied by season, with a higher fossil fuel and wood burning contribution in winter. Spatial autocorrelation accounted for a substantial amount of the variance in total PAH concentrations for both winter (56%) and summer (19%). In summer, other key variables explaining the variance included meteorological factors (9%), population density (15%), and roadway length (21%). In winter, the variance was also explained by traffic density (16%). In this study, source characterization confirmed the dominance of traffic and other fossil fuel sources to total measured gas-phase PAH concentrations while a spatial exposure model identified key predictors of PAH concentrations. Gas-phase PAH source characterization and exposure estimation is of high utility to epidemiologist and policy makers interested in understanding the health impacts of gas-phase PAHs and strategies to reduce emissions.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Atmos Environ (1994) Year: 2018 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Atmos Environ (1994) Year: 2018 Document type: Article Affiliation country: United States