2021
DOI: 10.1007/s00376-020-0127-2
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Characterization of Organic Aerosol at a Rural Site in the North China Plain Region: Sources, Volatility and Organonitrates

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Cited by 19 publications
(42 citation statements)
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References 80 publications
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“…The negligible correlation of NO 3,org with POA in summer in Beijing (R 2 = 0.05) is in contradiction with the results in Xianghe (a rural site in NCP), which shows that pON formation might be highly associated with primary emissions (Qiao et al, 2021). Such differences were caused by the different primary emission in different environments.…”
Section: Intercomparisonsmentioning
confidence: 57%
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“…The negligible correlation of NO 3,org with POA in summer in Beijing (R 2 = 0.05) is in contradiction with the results in Xianghe (a rural site in NCP), which shows that pON formation might be highly associated with primary emissions (Qiao et al, 2021). Such differences were caused by the different primary emission in different environments.…”
Section: Intercomparisonsmentioning
confidence: 57%
“…Yu et al (2019) found a good correlation between pON and fresh SOA at night at an urban site in southern China based on the NO x method and the PMF method. In contrast, Qiao et al (2021) reported that pON were more correlated with the emission from biomass burning but poorly correlated with less-oxidized oxygenated OA (LO-OOA) at a rural site (Xianghe) in summer. Despite these results, our understanding of the levels, sources and processes of pON in the North China Plain (NCP) remains poor.…”
Section: Introductionmentioning
confidence: 92%
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“…Compared with laboratory experiments, the oxidation pathways and oxidants are far more complex in ambient air, and the oxygenated products can be composed of hundreds or even thousands of species with a wide range of volatilities. Previous field observations on volatility distributions of OA have mainly been focused on Europe and the US under low NO x levels (Xu et al, 2016;Louvaris et al, 2017a;Saha et al, 2017;Kostenidou et al, 2018). Lee et al (2011a) found that NO x can have a large impact on the volatility of SOA in a chamber experiment, suggesting that the OA volatilities in high-NO x and high particulate-matter (PM) environments, e.g., the North China Plain (NCP), need to be further investigated.…”
Section: Introductionmentioning
confidence: 99%
“…3. Additionally, a number of analyses of field studies have used the NO x + 110 ratios (or its 46/30 UMR equivalent) to support qualitative or semi-quantitative statements about the presence (or low contribution) of pRONO 2 (Setyan et al, 2012;Brown et al, 2013;Xu et al, 2016;Schneider et al, 2017;Bottenus et al, 2018) or to quantify pRONO 2 (Fry et al, 2013(Fry et al, , 2018Ayres et al, 2015;Kostenidou et al, 2015;Xu et al, 2015aXu et al, , 2021Fisher et al, 2016;Kiendler-Scharr et al, 2016;Lee et al, 2016Lee et al, , 2019Nault et al, 2016;Zhou et al, 2016;Zhu et al, 2016Zhu et al, , 2021Florou et al, 2017;115 Palm et al, 2017;Brito et al, 2018;de Sá et al, 2018de Sá et al, , 2019Reyes-Villegas et al, 2018;Schulz et al, 2018;Avery et al, 2019;Dai et al, 2019;Huang et al, 2019aHuang et al, , 2019bYu et al, 2019;Chen et al, 2020. Yu et al (2019) also used the particle size dependence of the 46/30 ratio to investigate particle size and temporal (diurnal and seasonal) trends in pRONO 2 .…”
mentioning
confidence: 99%