Comparison of receptor models for source apportionment of volatile organic compounds in Beijing, China.
Identifying the sources of volatile organic compounds (VOCs) is key to reducing ground-level ozone and secondary organic aerosols (SOAs). Several receptor models have been developed to apportion sources, but an intercomparison of these models had not been performed for VOCs in China. In the present study, we compared VOC sources based on chemical mass balance (CMB), UNMIX, and positive matrix factorization (PMF) models. Gasoline-related sources, petrochemical production, and liquefied petroleum gas (LPG) were identified by all three models as the major contributors, with UNMIX and PMF producing quite similar results. The contributions of gasoline-related sources and LPG estimated by the CMB model were higher, and petrochemical emissions were lower than in the UNMIX and PMF results, possibly because the VOC profiles used in the CMB model were for fresh emissions and the profiles extracted from ambient measurements by the two-factor analysis models were "aged".
Song
Yu
Y
Department of Environmental Sciences, Peking University, Beijing 100871, China.
Dai
Wei
W
Shao
Min
M
Liu
Ying
Y
Lu
Sihua
S
Kuster
William
W
Goldan
Paul
P
D000393:Air Pollutants / Q000032:analysis*; D002681:China; D002947:Cities; D004784:Environmental Monitoring / Q000379:methods*; D005742:Gasoline; D008956:Models, Chemical; D010083:Oxidants, Photochemical / Q000032:analysis; D010126:Ozone / Q000032:analysis; D010507:Periodicity; D001335:Vehicle Emissions / Q000032:analysis; D014835:Volatilization
D000393:Air Pollutants; D005742:Gasoline; D010083:Oxidants, Photochemical; D001335:Vehicle Emissions; D010126:Ozone