Comparison of Secondary Organic Aerosol Estimation Methods

Guo, Song; Hu, Min; Guo, Qingfeng; Shang, Dongjie

doi:10.6023/a14040254

Cited by 16 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It can be seen that the PM 2.5 concentration was highly linearly correlated with the secondary species (P < 0.01). These chemical species are directly indicative of secondary chemistry: sulfate is mainly converted from atmospheric SO 2 primarily emitted from coal combustion (Seinfeld and Pandis, 2016), nitrate originates from NO x emitted mainly from vehicle exhaust and power plants (Seinfeld and Pandis, 2016), and secondary organic carbon (SOC), as an indicator of SOA, derives from complex gaseous precursors (Hallquist et al, 2009). Specifically, PM 2.5 showed a higher correlation with SIA (P < 0.001) than with SOA (P < 0.01), probably due to the higher contribution of SIA to SA than SOA (Fig.…”

Section: Uncertainty Analysis In the Estimation Of Secondary Aerosolsmentioning

confidence: 99%

Unraveling the role of silicon in atmospheric aerosol secondary formation: a new conservative tracer for aerosol chemistry

et al. 2019

View full text Add to dashboard Cite

Abstract. Aerosol particles are ubiquitous in the atmosphere and affect the quality of human life through their climatic and health effects. The formation and growth of aerosol particles involve extremely complex reactions and processes. Due to limited research tools, the sources and chemistry of aerosols are still not fully understood, and until now have normally been investigated by using chemical species of secondary aerosols (e.g., NH4+, NO3-, SO42-, SOC) as tracers. Here we investigated the role of silicon (Si), an ubiquitous but relatively inert element, during the secondary aerosol formation process. We analyzed the correlation of Si in airborne fine particles (PM2.5) collected in Beijing – a typical pollution region – with the secondary chemical species and secondary particle precursors (e.g., SO2 and NOx). The total mass of Si in PM2.5 was found to be uncorrelated with the secondary aerosol formation process, which suggested that Si is a new conservative tracer for the amount of primary materials in PM2.5 and can be used to estimate the relative amount of secondary and primary compounds in PM2.5. This finding enables the accurate estimation of secondary aerosol contribution to PM2.5 by using Si as a single tracer rather than the commonly used multiple chemical tracers. In addition, we show that the correlation analysis of secondary aerosols with the Si isotopic composition of PM2.5 can further reveal the sources of the precursors of secondary aerosols. Therefore, Si may provide a new tool for aerosol chemistry studies.

show abstract

Section: Uncertainty Analysis In the Estimation Of Secondary Aerosolsmentioning

confidence: 99%

Unraveling the role of silicon in atmospheric aerosol secondary formation: a new conservative tracer for aerosol chemistry

et al. 2019

View full text Add to dashboard Cite

show abstract

“…后续增长过程主要包括气态物质如有机物凝结、均相反应以及颗粒物模态内的碰并. 气态硫酸、无机氨、有机胺等物质可以通过形成硫酸盐、有机酸盐、有机胺盐等参与颗粒物增长 [30～32] , 外场研究也印证了二次有机组分在颗粒物中占到较大比重 [33,34] , 然而有机物贡献后续增长的机制仍然存在诸多疑问 [25] ,…”

Section: 新粒子生成和增长机制及其环境影响unclassified

Mechanism of New Particle Formation and Growth as well as Environmental Effects under Complex Air Pollution in China

Hu¹,

Dongjie²,

Guo³

et al. 2016

Acta Chim. Sinica

Self Cite

View full text Add to dashboard Cite

“…It remains difficult to quantify the contribution of precursors in the ambient environment. Several field‐based methods have been developed to estimate the amount of SOA, including the tracer‐yield method (Guo et al, 2012; Kleindienst et al, 2007), the nonprimary organic carbon (OC) method (the receptor model) (Heo et al, 2015; Yuan et al, 2006; Zheng et al, 2002), the non–biomass burning water‐soluble organic carbon method (Weber et al, 2007) and the elemental carbon (EC)‐tracer method (or the OC/EC ratio method) [Cao et al, 2007; Song Guo et al, 2014; Turpin & Huntzicker, 1995; Zhang et al, 2008]. Among these methods, the receptor model can be used to apportion SOA in submicron particulate matter (PM 1.0 ) at a high time resolution from aerosol mass spectrometry (AMS) data (Hu et al, 2013; Huang et al, 2012; Huang et al, 2014; Li et al, 2015; Sun et al, 2013; Zhang, 2005), while the tracer‐yield method provides the only way of identifying precursors of SOA but with a low time resolution due to the complexity of tracer measurements.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Secondary Organic Aerosol Formation During a Photochemical Smog Episode in Shanghai, China

Wang

Gao

et al. 2020

JGR Atmospheres

View full text Add to dashboard Cite

Secondary organic aerosols (SOA) are formed through diverse processes in the atmosphere, among which photochemical processing is one important pathway. SOA formation was studied based on one heavy photochemical smog episode in summer in Shanghai. During the pollution episode, ozone and organic carbon (OC) increased simultaneously with a strong positive correlation, which was complete opposite to the volatile organic compounds (VOCs) pattern but similar to that of VOC photochemical consumption. The OC evolution was explained well by a parameterization method based on the observation of OC and VOCs, and secondary OC (SOC) formation was derived, being comparable with the result based on elemental carbon (EC) tracer method. About 67% of SOC could be explained by the photochemical consumption of VOCs (mainly aromatics, ~93%) during the episode. The contribution of VOCs to SOC formation was also estimated from the available VOC emissions inventories, which was comparable with that based on VOCs observations in ambient. Some differences of VOC species contribution to SOC were found between the ambient observation‐based and the emission‐based results, and the contribution of C9 aromatics was underestimated in the emission inventory. This suggests that bias of speciation might exist in the current VOC emissions inventories. The present study highlights the importance of VOC oxidation for SOC formation in summer in Shanghai. More insights are needed to improve the accuracy of VOCs speciated emissions inventories.

show abstract

Comparison of Secondary Organic Aerosol Estimation Methods

Cited by 16 publications

References 16 publications

Unraveling the role of silicon in atmospheric aerosol secondary formation: a new conservative tracer for aerosol chemistry

Unraveling the role of silicon in atmospheric aerosol secondary formation: a new conservative tracer for aerosol chemistry

Mechanism of New Particle Formation and Growth as well as Environmental Effects under Complex Air Pollution in China

Estimation of Secondary Organic Aerosol Formation During a Photochemical Smog Episode in Shanghai, China

Contact Info

Product

Resources

About