南京城区夏季大气VOCs的来源及对SOA的生成研究——以亚青和青奥期间为例

发布时间：2018-10-31 18:49

【摘要】：运用大气挥发性有机物快速在线连续自动监测系统,于2013年和2014年的8月对南京市区大气中VOCs进行观测,结果表明,VOCs的浓度分别为51.73×10~(-9)和77.47×10~(-9).利用OH消耗速率(L~(OH))有效评估VOCs的大气化学反应活性.烯烃和芳香烃是这2年夏季南京市大气VOCs中对L~(OH)贡献最大的关键活性组分.用FAC法估算南京SOA生成潜势,得到2013和2014年夏季SOA浓度分别为1.95μg/m~3和1.01μg/m~3;烷烃和芳香烃对SOA的生成潜势分别占4.01%、94.8%和4.46%、94.57%.用PMF模型对南京VOCs进行来源解析,结果表明,2013年夏季南京大气VOCs的最大来源为燃料挥发(22.7%)、其次为天然气和液化石油气泄漏(19.5%)、石油化工业(13.5%)、汽车尾气排放(17.7%)、天然源排放(13.4%)和涂料/溶剂的使用(13.2%),而2014年夏季南京大气VOCs的最大来源为天然气和液化石油气泄漏(35.2%)、其次为石油化工业(20.6%)、不完全燃烧(20.5%)、燃料挥发(15.7%)和汽车尾气排放(8.1%).
[Abstract]:The VOCs in Nanjing urban atmosphere was observed in August of 2013 and 2014 by using a rapid on-line automatic monitoring system for atmospheric volatile organic compounds. The results show that the concentrations of VOCs are 51.73 脳 10 ~ (-9) and 77.47 脳 10 ~ (-9), respectively. OH consumption rate (L ~ (OH) was used to evaluate the atmospheric chemical reaction activity of VOCs. Olefin and aromatic hydrocarbons are the most important active components of atmospheric VOCs in Nanjing in the past two years. FAC method was used to estimate the formation potential of SOA in Nanjing, and the SOA concentrations in summer of 2013 and 2014 were 1.95 渭 g/m~3 and 1.01 渭 g / mm3, respectively, and the formation potential of alkanes and aromatic hydrocarbons on SOA were 4.01% and 94.57%, respectively. The source analysis of Nanjing VOCs using PMF model shows that the largest source of Nanjing atmospheric VOCs in summer 2013 is fuel volatilization (22. 7%), followed by natural gas and liquefied petroleum gas leakage (19. 5%). Petrochemical industry (13.5%), automobile exhaust emissions (17.7%), natural source emissions (13.4%) and paint / solvent use (13.2%), The largest source of atmospheric VOCs in Nanjing in summer 2014 was natural gas and liquefied petroleum gas (35. 2%), followed by petrochemical industry (20. 6%), incomplete combustion (20. 5%). Fuel volatilization (15.7%) and vehicle exhaust emissions (8.1%).
【作者单位】：南京信息工程大学江苏省大气环境与装备技术协同创新中心;江苏省大气环境监测与污染控制高技术研究重点实验室;江苏省环境监测中心;
【基金】：国家自然科学基金重大研究计划(D0512/91544231) 江苏省环保科研课题(2015017)
【分类号】：X51

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