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Characteristics, source apportionment and reactivity of ambient volatile organic compounds at Dinghu Mountain in Guangdong Province, China

机译:广东省鼎湖山周围挥发性有机物的特征,来源解析和反应性

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摘要

Volatile organic compounds (VOCs) play a very important role in the formation of ozone and secondary organic aerosols. The concentrations, compositions, and variability of VOCs were measured from 2005 to 2008 at Dinghu Mountain Forest Ecosystem Research Station, a remote station in Southeast China. Weekly samples were collected in the Dinghu Mountain area and were analysed via gas chromatography-mass spectrometry. The results revealed that the total VOC concentrations decreased continuously and that the dominant VOC components were alkanes (43%) and aromatics (33%), followed by halo-hydrocarbons (12%) and alkenes (12%). The general trend of seasonal variation indicated higher concentrations in spring and lower concentrations in summer. The positive matrix factorization model was used to identify the sources of the VOCs. Seven sources were resolved by the PMF model: (1) vehicular emissions, which contributed 25% of the total VOC concentration; (2) industrial sources and regional transportation, contributing 17%; (3) paint solvent use, contributing 17%; (4) fuel evaporation, contributing 13%; (5) stationary combustion sources, contributing 12%; (6) biogenic emissions, contributing 10%; and aged VOCs, contributing only 6%. The HYSPLIT model was used to analyse the effect of pollutant transport, and the results indicated that the transport of pollutants from cities cannot be ignored. Finally, the OH radical loss rates and ozone formation potentials (OFPs) were calculated, and the results indicated isoprene to have the highest OH radical loss rate and toluene to be the largest contributor to the OFP at the Dinghu Mountain site.
机译:挥发性有机化合物(VOC)在臭氧和二次有机气溶胶的形成中起着非常重要的作用。 2005年至2008年在中国东南偏远地区的鼎湖山森林生态系统研究站测量了VOC的浓度,组成和变异性。每周在鼎湖山地区收集样品,并通过气相色谱-质谱法进行分析。结果表明,总VOC浓度持续下降,主要VOC成分为烷烃(43%)和芳烃(33%),其次是卤代烃(12%)和烯烃(12%)。季节变化的总体趋势表明春季的浓度较高,夏季的浓度较低。正矩阵分解模型用于识别VOC的来源。 PMF模型解决了七个排放源:(1)车辆排放,占总VOC浓度的25%; (2)工业资源和区域交通,占17%; (3)使用油漆溶剂,占17%; (4)燃料蒸发,占13%; (5)固定燃烧源,占12%; (6)生物排放,占10%;和老龄化的挥发性有机化合物,仅占6%。利用HYSPLIT模型分析了污染物迁移的影响,结果表明,来自城市的污染物迁移不容忽视。最后,计算了OH自由基的损失率和臭氧形成潜能(OFP),结果表明,异戊二烯具有最高的OH自由基的损失率,而甲苯是鼎湖山遗址中OFP的最大贡献者。

著录项

  • 来源
    《The Science of the Total Environment》 |2016年第1期|347-359|共13页
  • 作者单位

    Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China,University of Chinese Academy of Sciences, Beijing 100049, China;

    Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, 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; Positive matrix factorization receptor model; OH radical loss rate; Ozone formation potential;

    机译:挥发性有机化合物;来源分配;正矩阵分解受体模型;OH自由基损失率;臭氧形成潜力;
  • 入库时间 2022-08-17 13:50:18

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