Characteristics and Source Apportionment of Atmospheric VOCs in the Nanjing Industrial Area in Autumn

被引：0
|
作者：
Cao M.-Y. [1 ,2 ]
Lin Y.-C. [1 ,2 ,3 ]
Zhang Y.-L. [1 ,2 ,3 ]
机构：
[1] Yale-NUIST Center on Atmospheric Environment, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing
[2] Key Laboratory of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing
[3] Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing
来源：
Huanjing Kexue/Environmental Science | 2020年 / 41卷 / 06期
关键词：
Nanjing; Ozone formation potential (OFP); Pollution level; Source apportionment; Volatile organic compounds (VOCs);
D O I：
10.13227/j.hjkx.201910154
中图分类号：
学科分类号：
摘要：
Atmospheric volatile organic compounds (VOCs) were continuously monitored via an online GC-FID/MS system in Nanjing during the autumn of 2018 to analyze the chemical characteristics, ozone formation potential (OFP), and potential sources of VOCs in this industrial region. During the sampling period, the average concentration of atmospheric total VOCs (TVOCs) was (64.3±45.6)×10-9. Alkanes were the most predominant VOC compound, accounting for 33.1% of the TVOC mass, followed by oxygenated volatile organic compounds (OVOCs, 22.3%) and halogenated hydrocarbons (21.8%). The diurnal cycles of VOCs revealed "bimodal" distributions. The higher concentrations of VOCs observed at 06:00-07:00 and 18:00-20:00 were attributed to the intense traffic emissions and meteorological conditions. Furthermore, maximum incremental reaction (MIR) analysis was used to estimate OFP of VOCs. The results showed that the calculated OFP in Nanjing was 267.1 μg•m-3. Aromatic hydrocarbons and alkenes were the dominant contributors to OFPs, which accounted for 55.2% and 20.8% to the total OFPs, respectively. Finally, five potential sources of VOCs were quantified by the positive matrix factorization model, including traffic emissions (34%), industrial emissions (19%), liquefied petroleum gas (LPG) emissions (17%), usage of paints and solvents (16%), coal combustion, and biomass burning (14%). These findings suggested that control of vehicle emissions and industrial sources would be an important way to reduce VOC concentrations and improve air quality in Nanjing. © 2020, Science Press. All right reserved.
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页码：2565 / 2576
页数：11
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