Source apportionment of organic aerosol from two-year highly time-resolved measurements by an aerosol chemical speciation monitor in Beijing, China

Sun, Yele; Xu, Wenbin; Zhang, Qi; Jiang, Q.; Canonaco, Francesco; Prévôt, Andrê S. H.; Fu, Pingqing; Li, Jie; Jayne, John T.; Worsnop, Douglas R.; Wang, Zifa

doi:10.5194/acp-2017-1195

Cited by 5 publications

(4 citation statements)

References 45 publications

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“…One explanation is that FFOA in 2016 is more from regional transport with a longer aging time than that in 2014, consistent with the fact that coal combustion emissions are continuously reduced inside the city. FFOA shows similar diurnal profiles between the two winters, which are both characterized by much higher concentrations at nighttime than daytime, consistent with previous observations in Beijing during wintertime (Sun et al, 2018b). These results also suggest coal combustion activities did not change substantially during the past 5 years.…”

Section: Composition and Sources Of Oasupporting

confidence: 91%

Changes in Aerosol Chemistry From 2014 to 2016 in Winter in Beijing: Insights From High‐Resolution Aerosol Mass Spectrometry

et al. 2019

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Air quality has been continuously improved in recent years in Beijing, yet severe haze episodes still frequently occur in winter. Here we deployed an Aerodyne high‐resolution aerosol mass spectrometer in two winter seasons during the same period to investigate the changes in aerosol chemistry from 2014 to 2016 in Beijing. Compared to 2014, submicron aerosol (PM1) species showed ubiquitous increases in mass concentrations by 10–130% in winter 2016, of which nitrate showed the largest increase among all aerosol species leading to a much higher NO3/SO4 ratio in 2016 (1.36 ± 0.90) than 2014 (0.72 ± 0.59). This result highlights an increasing role of nitrate in particulate matter pollution in recent years in Beijing. Aerosol composition and size distributions also changed significantly. Secondary inorganic species showed elevated contributions by ~10% in winter 2016 associated with corresponding decreases in organic aerosol (OA). Positive matrix factorization of OA illustrated the significant changes in both primary emissions and secondary production. While cooking OA decreased substantially from 25% in 2014 to 15% in 2016, the contribution of biomass burning OA slightly increased instead. Although secondary OA contributed similarly to OA in the two winters (49% vs. 53%), we observed ubiquitous increases (~50%) in photochemically related oxygenated OA and oxidized primary OA, and oxygen‐to‐carbon ratios of OA, indicating the enhanced photochemical production in winter 2016. Aqueous‐phase production of secondary OA however was relatively similar in the two winters. Further analysis demonstrated that the changes in aerosol and OA composition varied differently across different pollution and relative humidity levels.

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Section: Composition and Sources Of Oasupporting

confidence: 91%

Changes in Aerosol Chemistry From 2014 to 2016 in Winter in Beijing: Insights From High‐Resolution Aerosol Mass Spectrometry

et al. 2019

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“…Feb, 200822 Nov-22 Dec, 2010Dec, 2011-Mar, 201221 Nov, 2011-20 Jan, 2012Jan, 201323 Jan-2 Mar, 201317 Dec, 2013-17 Jan, 20144 Dec, 2015-6 Feb, 2016 Ref. Hu et al, 2016Sun et al, 2015, 2018Hu et al, 2017 This study Hu et al, 2016Sun et al, 2015, 2018Sun et al, 2013Zhang et al, 2014Hu et al, 2017Sun et al, 2016…”

Section: Section S3: Diurnal Cycles Of Pm1 Speciesmentioning

confidence: 86%

Supplementary material to "Summertime and wintertime atmospheric processes of secondary aerosol in Beijing"

Duan¹,

Huang²,

Li³

et al. 2019

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Section S1: Source apportionments for OA datasetsSeparate OA source apportionments were conducted in summer and winter individually.According to the summer dataset, a range of solutions with three to five factors from unconstrained runs were first examined. As shown in Fig. S1, POA factors mixed seriously with SOA factors and identical source factors can't be resolved by PMF. There was a COA factor resolved in the 3-factor solution, while no clear HOA factor could be resolved and POA mixed seriously with SOA in factor 2, which may both contain HOA and OOA sources. No HOA could be resolved when increasing the factor numbers and the factor further split into non-meaningful profiles. Meanwhile, clear peaks in m/z 53 and m/z 82 were found in PMF solutions, indicating

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“…The abundant m/z 28 and 44 (mainly generated from CO2 + ) are widely used as the ambient MO-OOA markers. (Sun et al, 2018;Xu et al, 2017).…”

Section: Identification Of the Life Style Sources Soa Mass Spectramentioning

confidence: 99%

Mass spectral characterization of secondary organic aerosol from urban lifestyle sources emissions

Zhu

Guo

et al. 2021

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Abstract. In the present work, we conducted experiments of secondary organic aerosol (SOA) formation from urban lifestyle sources (cooking and vehicle) to characterize the mass spectral features of primary organic aerosol (POA) and SOA using an high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS). Our results showed that the cooking styles have greater impact on aged COA mass spectra than oxidation condition. However, the oxidation conditions affect the aged HOA spectra more significantly than vehicle operation conditions. In our study, we use mass spectra similarity analysis and positive matrix factorization (PMF) analysis to establish the POA and SOA mass spectra of these two typical lifestyle sources. These mass spectra are used as source constraints in a multilinear engine (ME-2) model to apportion the OA sources in the atmosphere. Comparing with the traditional ambient PMF results, the improved ME-2 model can better quantify the contribution of POA and SOA from life-style sources. Our work, for the first time, establishes the vehicle and cooking SOA source profiles, and can be further used in the OA source apportionment in the ambient atmosphere.

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Source apportionment of organic aerosol from two-year highly time-resolved measurements by an aerosol chemical speciation monitor in Beijing, China

Cited by 5 publications

References 45 publications

Changes in Aerosol Chemistry From 2014 to 2016 in Winter in Beijing: Insights From High‐Resolution Aerosol Mass Spectrometry

Changes in Aerosol Chemistry From 2014 to 2016 in Winter in Beijing: Insights From High‐Resolution Aerosol Mass Spectrometry

Supplementary material to "Summertime and wintertime atmospheric processes of secondary aerosol in Beijing"

Mass spectral characterization of secondary organic aerosol from urban lifestyle sources emissions

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Source apportionment of organic aerosol from two-year highly time-resolved measurements by an aerosol chemical speciation monitor in Beijing, China

Cited by 5 publications

References 45 publications

Changes in Aerosol Chemistry From 2014 to 2016 in Winter in Beijing: Insights From High‐Resolution Aerosol Mass Spectrometry

Changes in Aerosol Chemistry From 2014 to 2016 in Winter in Beijing: Insights From High‐Resolution Aerosol Mass Spectrometry

Supplementary material to &quot;Summertime and wintertime atmospheric processes of secondary aerosol in Beijing&quot;

Mass spectral characterization of secondary organic aerosol from urban lifestyle sources emissions

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Supplementary material to "Summertime and wintertime atmospheric processes of secondary aerosol in Beijing"