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Sci Total Environ

Title:		Source apportionment of particulate matter and selected volatile organic compounds with multiple time resolution data
Author(s):		Kuo CP; Liao HT; Chou CC; Wu CF;
Address:		"Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University, Taipei 100, Taiwan. Research Center for Environmental Changes, Academia Sinica, Taipei 115, Taiwan. Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University, Taipei 100, Taiwan; Department of Public Health, National Taiwan University, Taipei 100, Taiwan; Institute of Environmental Health, National Taiwan University, Taipei 100, Taiwan. Electronic address: changfu@ntu.edu.tw"
Journal Title:		Sci Total Environ
Year:		2014
Volume:		20131215
Issue:
Page Number:		880 - 887
DOI:		10.1016/j.scitotenv.2013.11.114
ISSN/ISBN:		1879-1026 (Electronic) 0048-9697 (Linking)
Abstract:		"Fine particulate matter (PM2.5) and volatile organic compounds (VOCs) co-exist in ambient air and contribute to adverse health effects in human populations. This study was conducted to demonstrate the feasibility of utilizing a composite data set which included PM2.5 and VOC data with multiple time resolutions for source apportionment. Hourly VOC and 12-h PM2.5 speciation data were combined into an improved source apportionment model to quantify different pollutant source contributions to PM2.5 and VOC mixtures. Five factors were retrieved, including vehicle 1, vehicle 2, industrial processing, transported regional, and secondary pollution sources. The largest contributors were vehicular emissions for VOCs (62%) and PM2.5 (35%). Nonetheless, transported regional and secondary pollution sources accounted for a noteworthy portion of PM2.5 (27% and 25%, respectively) relative to VOCs (8% and 5%, respectively). Additional sensitivity analyses showed that excluding the PM2.5 data or reducing the associated temporal resolution (12-h to 24-h) retrieved fewer source factors and increased the errors of source contribution estimates"
Keywords:		Air Pollutants/*analysis Air Pollution/statistics & numerical data *Environmental Monitoring Particulate Matter/*analysis Vehicle Emissions/analysis Volatile Organic Compounds/*analysis Fine particulate matter (PM(2.5)) Multilinear Engine (ME-2) Positive;
Notes:		"MedlineKuo, Cheng-Pin Liao, Ho-Tang Chou, Charles C-K Wu, Chang-Fu eng Research Support, Non-U.S. Gov't Netherlands 2013/12/18 Sci Total Environ. 2014 Feb 15; 472:880-7. doi: 10.1016/j.scitotenv.2013.11.114. Epub 2013 Dec 15"