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郑州市春季大气挥发性有机物污染特征及源解析
摘要点击 2988  全文点击 915  投稿时间:2019-02-21  修订日期:2019-04-19
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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  ozone  volatile 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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