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Evolution process and sources of ambient volatile organic compounds during a severe haze event in Beijing, China

机译:北京严重雾霾天气中环境挥发性有机化合物的演变过程和来源

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摘要

108 ambient volatile organic compounds (VOCs) were measured continuously at a time resolution of an hour using an online gas chromatography-frame ionization detector/mass spectrometry (GC-FID/MS) in October 2014 in Beijing, and positive matrix factorization (PMF) was performed with online data. The evolution process and causes for high levels of VOCs during a haze event were investigated through comprehensive analysis. Results show that mixing ratios of VOCs during the haze event (89.29 ppbv) were 2 to 5 times as that in non-haze days, There was a distinct accumulation process of VOCs at the beginning of the haze event and the mixing ratios of VOCs maintained at the high levels until to the end of pollution when the mixing ratios of ambient VOCs recovered to the normal concentration levels in a few hours. Some reactive and toxic species increased remarkably as well, which indicates a potential health risk to the public in terms of VOCs. Eight sources were resolved by PMF, and results revealed gasoline exhaust was the largest contributor (32-46%) to the ambient VOCs in Beijing. Emissions of gasoline exhaust surged from 13.46 to 40.36 ppbv, with a similar variation pattern to total VOCs, indicating that high levels of VOCs were largely driven to by expanded vehicular emissions. Emissions of biomass burning also increased noticeably (from 232 to 11.12 ppbv), and backward trajectories analysis indicated regional transport of biomass burning emissions. Our findings suggested that extremely high levels of VOCs during the haze event was primarily attributed to vehicular emissions, biomass burning and regional transport, as well as stationary synoptic conditions.
机译:使用2014年10月在北京的在线气相色谱-框架电离检测器/质谱(GC-FID / MS)和正矩阵分解(PMF),以一个小时的时间分辨率连续测量了108种环境挥发性有机化合物(VOC)。是使用在线数据执行的。通过全面分析,研究了霾事件期间VOC含量高的演变过程和原因。结果表明:雾霾事件中挥发性有机化合物的混合比例为89.29 ppbv,是非雾霾时期的2〜5倍。雾霾初期VOC的积累过程明显,维持了混合比例在高浓度下,直到污染结束时,周围挥发性有机化合物的混合比在几小时内恢复到正常浓度水平。一些反应性和有毒物种也显着增加,这表明就挥发性有机化合物而言,这对公众有潜在的健康风险。 PMF解决了八种污染源,结果表明,汽油排放是北京环境VOC的最大贡献者(32-46%)。汽油废气排放量从13.46 ppbv激增至40.36 ppbv,与总VOC的变化模式相似,这表明高水平的VOC很大程度上是由扩大的汽车排放量驱动的。生物质燃烧的排放也显着增加(从232 ppbv增长到11.12 ppbv),向后的轨迹分析表明,生物质燃烧排放的区域性运输。我们的发现表明,霾事件期间挥发性有机化合物的含量极高,这主要归因于车辆排放,生物量燃烧和区域运输以及天气状况平稳。

著录项

  • 来源
    《The Science of the Total Environment》 |2016年第1期|62-72|共11页
  • 作者单位

    College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China;

    College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China;

    College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China;

    College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China;

    College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China;

    College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    VOCs; Source apportionment; Vehicular emissions; Biomass burning; Evolution process;

    机译:挥发性有机化合物;来源分配;车辆排放;生物质燃烧;进化过程;

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