Cao Meng-Yao, Lin Yu-Chi, Zhang Yan-Lin
International Joint Laboratory on Climate and Environment Change(ILCEC), Yale-NUIST Center on Atmospheric Environment, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Key Laboratory of Meteorological Disasters(CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China.
Huan Jing Ke Xue. 2020 Jun 8;41(6):2565-2576. doi: 10.13227/j.hjkx.201910154.
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. 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. 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.
2018年秋季，通过在线气相色谱 - 火焰离子化检测器/质谱联用系统（GC - FID/MS）对南京的大气挥发性有机化合物（VOCs）进行了连续监测，以分析该工业区VOCs的化学特征、臭氧生成潜力（OFP）和潜在来源。在采样期间，大气总挥发性有机化合物（TVOCs）的平均浓度为（64.3±45.6）×10。烷烃是最主要的VOC化合物，占TVOC质量的33.1%，其次是含氧挥发性有机化合物（OVOCs，22.3%）和卤代烃（21.8%）。VOCs的日变化周期呈现“双峰”分布。在06:00 - 07:00和18:00 - 20:00观察到的较高VOCs浓度归因于强烈的交通排放和气象条件。此外，采用最大增量反应（MIR）分析来估算VOCs的OFP。结果表明，南京计算得出的OFP为267.1μg·m。芳烃和烯烃是OFP的主要贡献者，分别占总OFP的55.2%和20.8%。最后，通过正定矩阵因子分解模型量化了VOCs的五个潜在来源，包括交通排放（34%）、工业排放（19%）、液化石油气（LPG）排放（17%）、油漆和溶剂使用（16%）、煤炭燃烧和生物质燃烧（14%）。这些研究结果表明，控制车辆排放和工业源将是降低南京VOC浓度和改善空气质量的重要途径。
