中国南京臭氧污染高发季节大气挥发性有机物来源解析。
Source apportionments of atmospheric volatile organic compounds in Nanjing, China during high ozone pollution season.
机构信息
Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory Meteorological Disaster; Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory Meteorological Disaster; Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Jiangsu Provincial Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
出版信息
Chemosphere. 2021 Jan;263:128025. doi: 10.1016/j.chemosphere.2020.128025. Epub 2020 Aug 22.
Atmospheric volatile organic compounds (VOCs) are not only harmful to human health, but also lead to ozone (O) formation. From July 3 to August 1 of 2018, online measurements of atmospheric VOCs were conducted in Nanjing City, in order to investigate the source apportionments to VOCs since the Empirical Kinetic Modelling Approach (EKMA) suggested that O formation was VOC-limited at the receptor site. Using positive matrix factorization (PMF) model, we quantified eight sources of VOCs, including vehicle exhausts (23%), industrial source (18%), fuel evaporation (17%), petrochemical industry (12%), solvent usage (12%), biogenic emission (8%) and liquefied petroleum gas (7%) along with gasoline additive (3%). The diurnal distributions showed that the contributions of traffic-related sources maximized during the traffic rush hours. In contrast, biogenic sources had the highest contribution at noontime. Backward trajectory results showed that local traffic emissions were the main sources of VOC in Nanjing. Our results revealed that strict control of VOC emissions from local vehicle exhaust might be an important way to decrease high VOC pollution in Nanjing.
大气挥发性有机化合物（VOCs）不仅对人体健康有害，而且还会导致臭氧（O）的形成。2018 年 7 月 3 日至 8 月 1 日，在南京市进行了大气 VOCs 的在线测量，目的是调查 VOCs 的来源分配情况，因为经验动力学模型方法（EKMA）表明，在受体位置，O 的形成受到 VOC 的限制。使用正矩阵因子化（PMF）模型，我们量化了 VOC 的八个来源，包括车辆尾气（23%）、工业源（18%）、燃料蒸发（17%）、石油化工（12%）、溶剂使用（12%）、生物排放（8%）和液化石油气（7%）以及汽油添加剂（3%）。日变化分布表明，交通相关来源在交通高峰时段的贡献最大。相比之下，生物源在中午的贡献最高。后向轨迹结果表明，当地交通排放是南京 VOC 的主要来源。我们的结果表明，严格控制本地车辆尾气的 VOC 排放可能是降低南京高 VOC 污染的重要途径。
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