Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8553
Title: Tracer-based source apportionment of polycyclic aromatic hydrocarbons in PM2.5 in Guangzhou, southern China, using positive matrix factorization (PMF)
Authors: Gao, B
Guo, H 
Wang, XM
Zhao, XY
Ling, ZH
Zhang, Z
Liu, TY
Keywords: Biomass burning
Coal combustion
Guangzhou
PAHs
Positive matrix factorization (PMF)
Source apportionment
Vehicular emission
Issue Date: 2013
Publisher: Springer Heidelberg
Source: Environmental science and pollution research, 2013, v. 20, no. 4, p. 2398-2409 How to cite?
Journal: Environmental Science and Pollution Research 
Abstract: From 28 November to 23 December 2009, 24-h PM2. 5 samples were collected simultaneously at six sites in Guangzhou. Concentrations of 18 polycyclic aromatic hydrocarbons (PAHs) together with certain molecular tracers for vehicular emissions (i. e., hopanes and elemental carbon), coal combustion (i. e., picene), and biomass burning (i. e., levoglucosan) were determined. Positive matrix factorization (PMF) receptor model combined with tracer data was applied to explore the source contributions to PAHs. Three sources were identified by both inspecting the dominant tracer(s) in each factor and comparing source profiles derived from PMF with determined profiles in Guangzhou or in the Pearl River Delta region. The three sources identified were vehicular emissions (VE), biomass burning (BB), and coal combustion (CC), accounting for 11 ± 2 %, 31 ± 4 %, and 58 ± 4 % of the total PAHs, respectively. CC replaced VE to become the most important source of PAHs in Guangzhou, reflecting the effective control of VE in recent years. The three sources had different contributions to PAHs with different ring sizes, with higher BB contributions (75 ± 3 %) to four-ring PAHs such as pyrene and higher CC contributions (57 ± 4 %) to six-ring PAHs such as benzo[ghi]perylene. Temporal variations of VE and CC contributions were probably caused by the change of weather conditions, while temporal variations of BB contributions were additionally influenced by the fluctuation of BB emissions. Source contributions also showed some spatial variations, probably due to the source emission variations near the sampling sites.
URI: http://hdl.handle.net/10397/8553
ISSN: 0944-1344
DOI: 10.1007/s11356-012-1129-0
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