中文关键词臭氧挥发性有机物(VOCs)臭氧生成潜势(OFP)气溶胶生成潜势(AFP)正交矩阵因子模型(PMF) 英文关键词ozonevolatile organic compounds (VOCs)ozone formation potential (OFP)aerosol formation potential (AFP)positive matrix factorization (PMF)

作者	单位	E-mail
张翼翔	郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001	zhangyixiangzzu@126.com
尹沙沙	郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001	shashayin@zzu.edu.cn
袁明浩	郑州市环境保护监测中心站, 郑州 450000
张瑞芹	郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001
张猛	平顶山市环境监测中心站, 平顶山 467000
于世杰	郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001
李一丹	郑州大学化学与分子工程学院, 环境科学研究院, 郑州 450001

中文摘要 对2018年春季郑州市5点位进行环境大气挥发性有机物（VOCs）罐采样及组分分析，开展其污染特征、臭氧生成潜势（OFP）、气溶胶生成潜势（AFP）和来源解析研究.结果表明，郑州市春季VOCs体积分数为（30.66±13.60）×10^-9，烷烃占比最高（35.3%），其次为OVOCs（25.3%）、卤代烃（24.1%）、芳香烃（10.0%）和烯烃（5.2%）；总OFP为195.53 μg·m^-3，烷烃、烯烃、芳香烃、卤代烃和OVOCs贡献率分别为25.6%、17.8%、38.9%、5.8%和11.9%；总AFP为0.95 μg·m^-3，芳香烃贡献率最高（87.6%），其次为烷烃（12.4%）；秦岭路和经开区点位正戊烷、异戊烷、苯和甲苯受机动车影响较大，郑州大学点位主要受燃烧源影响；源解析显示机动车尾气及LPG挥发、溶剂使用源、工业过程源、区域老化气团和植物源对采样期间VOCs浓度贡献依次是30.5%、27.3%、22.1%、14.4%和5.7%. 英文摘要 Ambient volatile organic compounds (VOCs) samples were collected at five sites in Zhengzhou during the spring of 2018. VOCs concentrations, the ozone formation potential (OFP), the aerosol formation potential (AFP), and source apportionment using a positive matrix factorization (PMF) model were studied based on chemical composition analysis. The results showed that the averaged concentration of VOCs in Zhengzhou during spring was (30.66±13.60)×10^-9, of which the proportion of alkanes was the highest (35.3%) followed by oxygenated VOCs (OVOCs, 25.3%), halocarbons (24.1%), aromatics (10.0%), and alkenes (5.2%). The total OFP was 195.53 μg·m^-3 and the contributions of alkanes, alkenes, aromatics, halocarbons, and OVOCs were 25.6%, 17.8%, 38.9%, 5.8%, and 11.9%, respectively. The total AFP was 0.95 μg·m^-3 with an 87.6% contribution from aromatics and 12.4% from alkanes. The correlation between major species showed that pentane, isopentane, benzene, and toluene in Qinlinglu (QLL) site and Jingkaiqu (JKQ) site were greatly influenced by motor vehicles, but these were mainly influenced by combustion sources in Zhengzhou University (ZZU) site. The five factors that were identified by the PMF model were vehicle and liquefied petroleum gas (LPG) volatilization source (30.5%), solvent coating source (27.3%), industrial process source (22.1%), aging air mass (14.4%), and biogenic source (5.7%).

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