Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China

Mo, Ziwei; Shao, Min; Liu, Ying; Xiang, Yang; Wang, Ming; Lü, Sihua; Ou, Jiamin; Zheng, Junyu; Liu, Meng; Zhang, Qiang; Wang, Xuemei; Zhong, Lexuan

doi:10.1038/s41598-018-21296-y

Cited by 28 publications

(18 citation statements)

References 49 publications

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“…Vehicle exhaust sources are characterized by high concentrations of alkanes (Cai et al, 2010), a few alkenes (An et al, 2017;Liu et al, 2008a), acetylene (Ling et al, 2011), and C6-C7 aromatics (Mo et al, 2018). In this study, vehicle exhaust sources in the CB and QL sites exhibited high ethane, propane, butane, and acetone contents.…”

Section: Sources Apportionmentmentioning

confidence: 65%

Spatiotemporal Variation, Sources, and Secondary Transformation Potential of VOCs in Xi’an, China

Song¹,

Li²,

Yang³

et al. 2020

Preprint

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Abstract. As a critical precursors of ozone (O3) and secondary organic aerosols, volatile organic compounds (VOCs) play a vital role in air quality, human health, and climate change. In this study, a campaign of comprehensive field observations and VOC grid sampling was conducted in Xi’an, China from June 20 to July 20, 2019 to identify the spatiotemporal concentration levels, sources, and secondary transformation potential of VOCs. During the observation period, the average VOC concentrations at the Chanba (CB), Di Huan Suo (DHS), Qinling (QL), and gridded sampling sites were 27.8 ± 8.9, 33.8 ± 10.5, 15.5 ± 5.8, and 29.1 ± 8.4 ppb, respectively. Vehicle exhaust was the primary source of VOC emissions in Xi’an, and the contributions of vehicle exhaust to VOCs at the CB, DHS, and QL sites were 41.3 %, 30.6 %, and 23.6–41.4 %, respectively. While industrial emissions were the second-largest source of VOCs in urban areas, contributions from ageing sources were high in rural areas. High potential source contribution function values primarily appeared in eastern and southern Xi’an near the sampling site, which indicates that Xi'an exhibits a strong local VOC source. Moreover, alkenes, aromatics, and oxygenated VOCs played a dominant role in secondary transformation, which is a major concern in reducing O3 pollution in Xi’an.

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Section: Sources Apportionmentmentioning

confidence: 65%

Spatiotemporal Variation, Sources, and Secondary Transformation Potential of VOCs in Xi’an, China

Song¹,

Li²,

Yang³

et al. 2020

Preprint

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show abstract

“…In paint solvent usage source emission studies, the ratio of T / B was greater than 8.8 ± 6.5 by different solvent use process (Yuan et al, 2010;Wang et al, 2014;Zheng et al, 2013). In burning source emission studies, the T / B ratio was approximately 0.3 ± 0.1 in different combustion process and raw materials (Liu et al, 2008a;Li et al, 2011;Mo et al, 2016). In order to reduce the influence of photochemical reaction on the ratio of benzene to toluene, this study selected the weaker photochemical reaction period (03:00-07:00) for the analysis of toluene and benzene (Fig.…”

Section: Specific Voc Ratiosmentioning

confidence: 96%

“…In industrial source emission studies, the ratio of T / B ranged from 1.4 ± 0.8 to 5.8 ± 3.4 by different industry type and process unit (Mo et al, 2015;Shi et al, 2015). In traffic source emission studies, the ratio of T / B ranged from 0.9 ± 0.6 to 2.2 ± 0.5 by different vehicle type and fuel composition (Qiao et al, 2012;Dai et al, 2013;Wang et al, 2013;Yao et al, 2013;Zhang et al, 2013; Mo et al, 2016;Yao et al, 2015a;Deng et al, 2018). However, vehicle emissions include both diesel vehicles emissions and gasoline vehicles emissions in the atmospheric environment.…”

Section: Specific Voc Ratiosmentioning

confidence: 99%

Spatiotemporal variation, sources, and secondary transformation potential of volatile organic compounds in Xi'an, China

Song

Yang

et al. 2021

Atmos. Chem. Phys.

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Abstract. As critical precursors of ozone (O3) and secondary organic aerosols, volatile organic compounds (VOCs) play a vital role in air quality, human health, and climate change. In this study, a campaign of comprehensive field observations and VOC grid sampling was conducted in Xi'an, China, from 20 June to 20 July 2019 to identify the spatiotemporal concentration levels, sources, and secondary transformation potential of VOCs. During the observation period, the average VOC concentrations at the Chanba (CB), Di Huan Suo (DHS), Qinling (QL), and gridded sampling sites were 27.8 ± 8.9, 33.8 ± 10.5, 15.5 ± 5.8, and 29.1 ± 8.4 ppb, respectively. Vehicle exhaust was the primary source of VOC emissions in Xi'an, and the contributions of vehicle exhaust to VOCs at the CB, DHS, and QL sites were 41.3 %, 30.6 %, and 23.6 %–41.4 %, respectively. While industrial emissions were the second-largest source of VOCs in urban areas, contributions from aging sources were high in rural areas. High potential source contribution function values primarily appeared in eastern and southern Xi'an near the sampling site, which indicates that Xi'an exhibits a strong local VOC source. Moreover, alkenes, aromatics, and oxygenated VOCs played a dominant role in secondary transformation, which is a major concern in reducing O3 pollution in Xi'an.

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“…The emissions of anthropogenic VOCs, the key precursors of ambient O 3 and PM 2.5 , have doubled during the past two decades (Zhao et al, 2017). Previous studies have been conducted to analyze the characteristics and identify the sources of ambient VOCs using receptor models on megalopolis clusters such as the Beijing-Tianjin-Hebei (BTH) region (Li et al, 2015;, the Yangtze River Delta (YRD) region (Mo et al, 2017;Zhu et al, 2018) and the Pearl River Delta (PRD) region (Zhang et al, 2015;Mo et al, 2018;Ou et al, 2018) in China. For example, An et al (2014) used principal component analysis/absolute principal component scores (PCA/APCS) to investigate VOCs sources at an industrial site in Nanjing.…”

Section: Introductionmentioning

confidence: 99%

“…However, the variation in the VOCs sources might be different for suburban areas. In the PRD region, for example, gridded measurements of VOCs were conducted, and spatial discrepancies in VOCs sources were observed (Mo et al, 2018;Ou et al, 2018). A larger contribution of industrial processes was found in the industrial area, while a larger contribution of gasoline-related sources was found in suburban zones.…”

Section: Introductionmentioning

confidence: 99%

Variability and Sources of Ambient Volatile Organic Compounds Based on Online Measurements in a Suburban Region of Nanjing, Eastern China

Zhao

Zhang

et al. 2020

Aerosol Air Qual. Res.

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Volatile organic compounds (VOCs) are the key precursors of ozone (O 3 ) and secondary organic aerosol (SOA) formation. To identify the variation in VOCs emission sources, simultaneous VOCs measurements were conducted for one year at a suburban site (Xianlin Campus of Nanjing University (NJU)) in Nanjing, a highly polluted city of the Yangtze River Delta (YRD) region in China. The annual average concentration of VOCs at NJU was observed to be 18.95 ± 14.95 ppbv, with alkanes, alkenes and aromatics contributing 67.5%, 13.6% and 18.9%, respectively, of the total mass concentration. The ratios for i-pentane/n-pentane and m,p-xylene/ethylbenzene showed that the ambient VOCs at NJU were affected by fuel evaporation and long-distance transport. A positive matrix factorization (PMF) model was applied for source apportionment of the VOCs, and seven factors were identified. Vehicle exhaust, evaporation, natural gas (NG) and aged air masses, combustion and synthetic industries, solvents and painting, petrochemical plants and mixed industrial sources were estimated to contribute 23.5%, 16.3%, 15.9%, 14.6%, 13.2%, 10.8% and 5.6%, respectively. The contribution from traffic emissions (i.e., vehicle exhaust) exceeded that suggested by a local emission inventory (9.7%). The concentration-weighted trajectory (CWT) model revealed that the highly polluted air masses arriving at NJU originated in the industrial areas of northeastern Nanjing and the YRD. The contributions from petrochemical plants, solvents and painting, and aged air masses were found to be increased during O 3 and PM 2.5 pollution days in suburban areas, indicating the importance of reducing industrial emissions and jointly controlling VOCs on a regional scale.

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Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China

Cited by 28 publications

References 49 publications

Spatiotemporal Variation, Sources, and Secondary Transformation Potential of VOCs in Xi’an, China

Spatiotemporal Variation, Sources, and Secondary Transformation Potential of VOCs in Xi’an, China

Spatiotemporal variation, sources, and secondary transformation potential of volatile organic compounds in Xi'an, China

Variability and Sources of Ambient Volatile Organic Compounds Based on Online Measurements in a Suburban Region of Nanjing, Eastern China

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