Roadside and rooftop measurements of polycyclic aromatic hydrocarbons in PM2.5 in urban Guangzhou: Evaluation of vehicular and regional combustion source contributions

Gao, Bo; Wang, Yuchen; Li, Shuxian; Ding, Xiang; He, Quanfu; Wang, Xinming

doi:10.1016/j.atmosenv.2011.09.005

Cited by 56 publications

(39 citation statements)

References 45 publications

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“…Guo et al (2003) reported that VE was the predominant source of PAHs in Hong Kong from 2000 to 2001 by PCA results. However, Gao et al (2011) found that BB and CC could be the dominant sources of PAHs in winter Guangzhou in 2006 after ratio-to-ratio plotting. This study further quantified that VE was no longer the dominant source of PAHs in winter Guangzhou in 2009 (11±2 %).…”

Section: Source Contributions To Total Pahsmentioning

confidence: 96%

“…Three factors were eventually selected because (1) previous studies reported that the main sources of PAHs in Guangzhou were vehicular emissions, biomass burning, and coal combustion (Bi et al 2003;Li et al 2006;Yang et al 2010;Gao et al 2011), (2) principal component analysis extracted three components with an eigenvalue larger than 1, and (3) three-factor solution produced a good fit to the data and was the most reasonably interpretable. Additional factors made negligible contributions to PAHs and caused factor splitting for tracers.…”

Section: Sampling and Analysismentioning

confidence: 99%

“…CC is mainly used for power generation in Guangzhou. Therefore, PAH emissions from CC might not have large daily variations (Li et al 2006;Gao et al 2011), neither did daily PAH emissions from VE because the number and density of vehicles were relatively constant each day in Guangzhou. Therefore, the temporal variations of ASC for VE and CC may be largely due to the change of weather conditions.…”

Section: Source Contributions To Total Pahsmentioning

confidence: 99%

“…With the increase in population, more energy consumption is expected, which could lead to severe exposure to PAH-associated polluted air. Indeed, studies have been carried out to understand the sources of PAHs in urban Guangzhou (Bi et al 2003;Li et al 2006;Yang et al 2010;Gao et al 2011). However, these studies were either qualitative or based on principal component analysis using only PAH data.…”

Section: Introductionmentioning

confidence: 99%

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Tracer-based source apportionment of polycyclic aromatic hydrocarbons in PM2.5 in Guangzhou, southern China, using positive matrix factorization (PMF)

Gao

Guo

Wang

et al. 2012

Environ Sci Pollut Res

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From 28 November to 23 December 2009, 24-h PM 2.5 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.

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Section: Source Contributions To Total Pahsmentioning

confidence: 96%

Section: Sampling and Analysismentioning

confidence: 99%

Section: Source Contributions To Total Pahsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tracer-based source apportionment of polycyclic aromatic hydrocarbons in PM2.5 in Guangzhou, southern China, using positive matrix factorization (PMF)

Gao

Guo

Wang

et al. 2012

Environ Sci Pollut Res

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“…The major sources of PAHs in Guangzhou are vehicular emission, biomass burning and coal combustion [8][9][10]. Early studies performed in 2001 identified vehicular emissions as the dominant sources of PAHs in urban Guangzhou [8,9].…”

Section: Introductionmentioning

confidence: 99%

Polycyclic aromatic hydrocarbons in PM2.5 in Guangzhou, southern China: Spatiotemporal patterns and emission sources

Gao

Guo

Wang

et al. 2012

Journal of Hazardous Materials

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Polarographic and voltammetric determination of genotoxic 4-nitroindane at mercury electrodes

2015

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Determination and electrochemical investigation of genotoxic nitrated polycyclic aromatic hydrocarbon 4-nitroindane (4-NI) were carried out using direct current tast polarography (DCTP) and differential pulse polarography (DPP) at a classical dropping mercury electrode (DME) and using direct current voltammetry (DCV), differential pulse voltammetry (DPV), and cyclic voltammetry (CV) at a hanging mercury drop minielectrode (HMDmE). The following optimal media for the determination of 4-NI were found: methanol-BrittonRobinson (BR) buffer of pH 12.0 (1:1) for DCTP and DPP, methanol-BR buffer of pH 9.0 (1:9) for DCV, and methanol-BR buffer of pH 8.0 (1:9) for DPV. For CV investigation, mixtures of methanol-BR buffer of pH 3.0, 8.0, and 12.0 (1:1) were used. The limits of quantification were: 0.65 lmol dm -3 (DCTP at the DME), 0.10 lmol dm -3 (DPP at the DME), 0.075 lmol dm -3 (DCV at the HMDmE), and 0.070 lmol dm -3 (DPV at the HMDmE). An attempt to increase the determination sensitivity using adsorptive accumulation of 4-NI on the HMDmE surface was not successful. The newly developed polarographic and voltammetric methods were successfully applied for the determination of 4-NI in model samples of drinking and river water. Graphical abstract -300 -400 -500 -600 -700 -800 -10 -15 -20 -25 -30 NO 2 I / nA E / mV 0 . 0 0 . 4 0 . 8 1 . 2 0 -4 -8 -12 c / µmol dm -3

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Roadside and rooftop measurements of polycyclic aromatic hydrocarbons in PM2.5 in urban Guangzhou: Evaluation of vehicular and regional combustion source contributions

Cited by 56 publications

References 45 publications

Tracer-based source apportionment of polycyclic aromatic hydrocarbons in PM2.5 in Guangzhou, southern China, using positive matrix factorization (PMF)

Tracer-based source apportionment of polycyclic aromatic hydrocarbons in PM2.5 in Guangzhou, southern China, using positive matrix factorization (PMF)

Polycyclic aromatic hydrocarbons in PM2.5 in Guangzhou, southern China: Spatiotemporal patterns and emission sources

Polarographic and voltammetric determination of genotoxic 4-nitroindane at mercury electrodes

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