Original Article
Journal of Exposure Analysis and Environmental Epidemiology (2001) 11, 295–307. 10.1038/sj.jea.7500168
Source apportionment of exposure to toxic volatile organic compounds using positive matrix factorization
MELISSA J ANDERSON1, SHELLY L MILLER2 and JANA B MILFORD2
- 1Department of Civil, Architectural and Environmental Engineering, The University of Colorado at Boulder, Boulder, Colorado, USA
- 2Department of Mechanical Engineering, The University of Colorado at Boulder, Boulder, Colorado, USA
Correspondence: Dr. Jana B. Milford, Campus Box 427, The University of Colorado at Boulder, Boulder, CO 80309, USA. Tel.: +1-303-492-5542. Fax: +1-303-492-3498. E-mail: jana.milford@colorado.edu
Received 16 October 2000; Accepted 19 March 2001.
Abstract
Data from the Total Exposure Assessment Methodology studies, conducted from 1980 to 1987 in New Jersey (NJ) and California (CA), and the 1990 California Indoor Exposure study were analyzed using positive matrix factorization, a receptor-oriented source apportionment model. Personal exposure and outdoor concentrations of 14 and 17 toxic volatile organic compounds (VOCs) were studied from the NJ and CA data, respectively. Analyzing both the personal exposure and outdoor concentrations made it possible to compare toxic VOCs in outdoor air and exposure resulting from personal activities. Regression analyses of the measured concentrations versus the factor scores were performed to determine the relative contribution of each factor to total exposure concentrations. Activity patterns of the NJ and CA participants were examined to determine whether reported exposures to specific sources correspond to higher estimated contributions from the factor identified with that source. For a subset of VOCs, a preliminary analysis to determine irritancy-based contributions of factors to exposures was carried out. Major source types of toxic VOCs in both NJ and CA appear to be aromatic sources resembling automobile exhaust, gasoline vapor, or environmental tobacco smoke for personal exposures, and automobile exhaust or gasoline vapors for outdoor concentrations.
Keywords:
factor analysis, personal exposure, positive matrix factorization, receptor modeling, source apportionment, volatile organic compounds
