College of Environmental Science and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, People's Republic of China.
College of Environmental Science and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, People's Republic of China.
Sci Total Environ. 2016 Jul 1;557-558:531-41. doi: 10.1016/j.scitotenv.2016.03.140. Epub 2016 Mar 31.
102 volatile organic compound (VOC) species were measured online using a gas chromatography-mass spectrometry/flame ionization detector (GC-MS/FID) at an urban site in Beijing in 11 August to 3 September 2015, when a series of rigorous air quality control measures were implemented in Beijing city and neighbouring provinces. Positive matrix factorization (PMF) was applied to identify emission sources from 1h averaged values of VOC data. Based on the online VOC data and the PMF analysis results, the effectiveness of different control measures were investigated. The PMF results were compared with an emission inventory data. Results show that the rigorous air quality restrictions implemented were successful. The averaged ambient VOC mixing ratios during the emission control period and non-control period were 27.53 and 45.42ppbv, respectively. The mixing ratios of total VOC during the control period were reduced by 40%. Alkanes were the most abundant chemical group in the two periods, followed by oxygenated volatile organic compounds (OVOCs). Almost all quantified VOC species decreased during the control period. Tracers of industrial sources and vehicle exhaust reduced most, including some halocarbons, esters and aromatics. Eight sources were resolved by online PMF analysis for ambient VOCs in Beijing. Contributions of those sources varied significantly during the control and non-control period. Compared with the values before control, contributions of vehicle-related sources were most reduced, followed by solvent utilization. Reductions of vehicle-related sources, solvent utilization, secondary formation, fuel combustion, and biogenic were responsible for 65%, 19%, 10%, 5%, and 1% of the reductions in ambient VOCs. Both PMF results and emission inventory data indicated that the control measure on traffic was very effective in reducing ambient VOCs in Beijing, with the emission reductions of about 50%.
2015 年 8 月 11 日至 9 月 3 日,在北京的一个城市站点,使用气相色谱-质谱/火焰离子化检测器(GC-MS/FID)在线测量了 102 种挥发性有机化合物(VOC)物种,当时北京及周边省份实施了一系列严格的空气质量控制措施。应用正矩阵因子化(PMF)来识别 VOC 数据 1 小时平均值的排放源。基于在线 VOC 数据和 PMF 分析结果,研究了不同控制措施的有效性。将 PMF 结果与排放清单数据进行了比较。结果表明,实施的严格空气质量限制是成功的。在控制和非控制期间,环境 VOC 混合比的平均值分别为 27.53 和 45.42ppbv。控制期间总 VOC 的混合比减少了 40%。在两个时期,烷烃都是最丰富的化学物质组,其次是含氧挥发性有机化合物(OVOCs)。在控制期间,几乎所有量化的 VOC 物种都减少了。工业源和车辆尾气的示踪剂减少最多,包括一些卤代烃、酯类和芳烃。在线 PMF 分析解析了北京环境 VOC 的 8 个来源。在控制和非控制期间,这些来源的贡献差异很大。与控制前的值相比,车辆相关来源的贡献减少最多,其次是溶剂利用。车辆相关来源、溶剂利用、二次形成、燃料燃烧和生物源的减少分别负责环境 VOC 减少的 65%、19%、10%、5%和 1%。PMF 结果和排放清单数据均表明,交通控制措施在减少北京环境 VOC 方面非常有效,排放量减少了约 50%。