NDLI: A comparative study of two factor analytic models applied to PAH data from inhalable air particulate collected in an urban-industrial environment.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Sofowote, Uwayemi M. Allan, Laurie M. McCarry, Brian E.
Spatial Coverage	Ontario
Description	Country affiliation: Canada Author Affiliation: Sofowote UM ( Department of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada.)
Abstract	Two factor analysis (FA)-based receptor modeling methods were applied to a polycyclic aromatic hydrocarbon (PAH) dataset from extracts of 75 PM(10) air particulate samples collected concurrently at 4 sampling sites proximate to the urban-industrial area in Hamilton, Ontario, Canada. The total PAH concentrations of 48 target compounds ranged from 0.23 to 172 ng m(-3). Principal component analysis (PCA) and positive matrix factorization (PMF) analysis were followed by multilinear regression analyses to identify and quantify PAH source contributions, together with spatial and temporal trends. The correlations between predicted and observed total PAH levels were excellent in both models (R(2) > 0.98). The PCA afforded large negative contributions in a number of samples, so further analysis was abandoned. The PMF analysis showed 3 factors which were identified as gasoline emissions, diesel emissions and coke oven emissions. Contributions of gasoline emissions and diesel emissions factors were surprisingly similar at all 4 sites indicative of a background of vehicle emissions across the city. The PMF coke oven emission factor showed the greatest variability in total loadings, consistent with the large PAH emissions from the steel industries and the large influence of wind direction on PAH concentrations. The highest coke oven contributions were observed at sites closest to the industrial area on days when these sites were downwind of the industries. The PMF coke oven impact factor showed good correlations with two commonly used PAH diagnostic ratios when the ratios were combined into a single ratio. This integrated approach allowed us to categorize >90% of the samples based on the wind direction of the impacting source.
File Format	HTM / HTML
ISSN	14640325
Issue Number	2
Volume Number	12
e-ISSN	14640333
Journal	Journal of Environmental Monitoring
Language	English
Publisher	Royal Society of Chemistry
Publisher Date	2010-02-01
Publisher Place	Great Britain (UK)
Access Restriction	Subscribed
Subject Keyword	Discipline Environmental Health Data Interpretation, Statistical Models, Statistical Particulate Matter Analysis Polycyclic Hydrocarbons, Aromatic Industry Linear Models Ontario Principal Component Analysis Urban Population Comparative Study Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health Management, Monitoring, Policy and Law

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