Determinants of the Spatial Distributions of Elemental Carbon and Particulate Matter in Eight Southern Californian Communities.

Autor: Urman R; Division of Environmental Health, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089, USA., Gauderman J; Division of Environmental Health, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089, USA., Fruin S; Division of Environmental Health, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089, USA., Lurmann F; Sonoma Technology, Inc., 1455 N. McDowell Blvd. #D, Petaluma, CA 94954-6503, USA., Liu F; Division of Environmental Health, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089, USA., Hosseini R; Department of Mathematical Informatics, University of Tokyo, Japan., Franklin M; Division of Environmental Health, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089, USA., Avol E; Division of Environmental Health, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089, USA., Penfold B; Sonoma Technology, Inc., 1455 N. McDowell Blvd. #D, Petaluma, CA 94954-6503, USA., Gilliland F; Division of Environmental Health, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089, USA., Brunekreef B; University of Utrecht, Netherlands Institute for Risk Assessment Sciences, Utrecht University, The Netherlands and Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands., McConnell R; Division of Environmental Health, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089, USA.
Jazyk: angličtina
Zdroj: Atmospheric environment (Oxford, England : 1994) [Atmos Environ (1994)] 2014 Apr 01; Vol. 86, pp. 84-92.
DOI: 10.1016/j.atmosenv.2013.11.077
Abstrakt: Emerging evidence indicates that near-roadway pollution (NRP) in ambient air has adverse health effects. However, specific components of the NRP mixture responsible for these effects have not been established. A major limitation for health studies is the lack of exposure models that estimate NRP components observed in epidemiological studies over fine spatial scale of tens to hundreds of meters. In this study, exposure models were developed for fine-scale variation in biologically relevant elemental carbon (EC). Measurements of particulate matter (PM) and EC less than 2.5 μm in aerodynamic diameter (EC 2.5 ) and of PM and EC of nanoscale size less than 0.2 μm were made at up to 29 locations in each of eight Southern California Children's Health Study communities. Regression-based prediction models were developed using a guided forward selection process to identify traffic variables and other pollutant sources, community physical characteristics and land use as predictors of PM and EC variation in each community. A combined eight-community model including only CALINE4 near-roadway dispersion-estimated vehicular emissions accounting for distance, distance-weighted traffic volume, and meteorology, explained 51% of the EC 0.2 variability. Community-specific models identified additional predictors in some communities; however, in most communities the correlation between predicted concentrations from the eight-community model and observed concentrations stratified by community were similar to those for the community-specific models. EC 2.5 could be predicted as well as EC 0.2 . EC 2.5 estimated from CALINE4 and population density explained 53% of the within-community variation. Exposure prediction was further improved after accounting for between-community heterogeneity of CALINE4 effects associated with average distance to Pacific Ocean shoreline (to 61% for EC 0.2 ) and for regional NO x pollution (to 57% for EC 2.5 ). PM fine spatial scale variation was poorly predicted in both size fractions. In conclusion, models of exposure that include traffic measures such as CALINE4 can provide useful estimates for EC 0.2 and EC 2.5 on a spatial scale appropriate for health studies of NRP in selected Southern California communities.
Databáze: MEDLINE
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