唐志刚, 刘喆, 李韵谱, 李娜, 徐春雨, 王秦, 常君瑞. 2016年北京市某城区采暖季PM2.5中PAHs的污染特征及来源分析[J]. 环境卫生学杂志, 2022, 12(2): 87-94. DOI: 10.13421/j.cnki.hjwsxzz.2022.02.003
    引用本文: 唐志刚, 刘喆, 李韵谱, 李娜, 徐春雨, 王秦, 常君瑞. 2016年北京市某城区采暖季PM2.5中PAHs的污染特征及来源分析[J]. 环境卫生学杂志, 2022, 12(2): 87-94. DOI: 10.13421/j.cnki.hjwsxzz.2022.02.003
    TANG Zhi-gang, LIU Zhe, LI Yun-pu, LI Na, XU Chun-yu, WANG Qin, CHANG Jun-rui. Pollution characteristics and sources of PM2.5-bound polycyclic aromatic hydrocarbons during heating season in a district of Beijing, China, 2016[J]. Journal of Environmental Hygiene, 2022, 12(2): 87-94. DOI: 10.13421/j.cnki.hjwsxzz.2022.02.003
    Citation: TANG Zhi-gang, LIU Zhe, LI Yun-pu, LI Na, XU Chun-yu, WANG Qin, CHANG Jun-rui. Pollution characteristics and sources of PM2.5-bound polycyclic aromatic hydrocarbons during heating season in a district of Beijing, China, 2016[J]. Journal of Environmental Hygiene, 2022, 12(2): 87-94. DOI: 10.13421/j.cnki.hjwsxzz.2022.02.003

    2016年北京市某城区采暖季PM2.5中PAHs的污染特征及来源分析

    Pollution characteristics and sources of PM2.5-bound polycyclic aromatic hydrocarbons during heating season in a district of Beijing, China, 2016

    • 摘要:
      目的 分析2016年北京市某城区采暖季重污染与非重污天气过程PM2.5中PAHs的污染特征,并对PAHs的污染来源进行初步识别。
      方法 2016年12月30日-2017年2月9日连续采集42 d PM2.5样品,采用高效液相色谱法测定PAHs水平,分析比较重污染与非重污染天气过程PAHs的污染特征,采用特征比值法对PAHs的污染来源进行初步识别。
      结果 采样期间PM2.5及其PAHs质量浓度MP25P75)为78.23(50.05,218.93)μg/m3和58.06(25.23,112.13)ng/m3;重污染天气过程的PM2.5及PAHs质量浓度中位数分别是非重污染天气过程的3.94倍和2.89倍;无论是重污染还是非重污染天气过程,单体PAHs中占比最高的均为荧蒽、苯并b荧蒽和芘,累积占比达50%,其次是BaP,占比为10%;4环PAHs占比最高(50.5%±9.2%),其次是5环PAHs(34.5%±7.2%),6环PAHs(15.0%±3.7%)最低。重污染与非重污染天气过程单体和环数占比分布变化不大。4环PAHs/(5环PAHs+6环PAHs)、BaP/BghiP、Ind/(Ind+BghiP)、FlT/(FlT+Pyr)和BaA/(BaA+Chr)的均值分别为1.08、1.56、0.53、0.58和0.49,提示PAHs污染主要来自本地污染源,煤/生物质燃烧源和交通源为主要污染来源。
      结论 2016年北京市某城区采暖季PAHs污染水平仍处于较高水平,燃煤和机动车尾气是其主要来源,建议周边居民出行应做好个人健康防护。

       

      Abstract:
      Objective To investigate the pollution characteristics and identify the sources of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) on heavily polluted days and non-heavily polluted days during the heating season in a district of Beijing, China in 2016.
      Methods PM2.5 samples were collected for 42 consecutive days from December 30, 2016 to February 9, 2017, and high-performance liquid chromatography (HPLC)was used to measure the concentration of PM2.5-bound PAHs of the samples. The pollution characteristics of PM2.5-bound PAHs were compared between heavily polluted days and non-heavily polluted days, and the characteristic ratio method was used to preliminarily identify the sources of PAHs in PM2.5.
      Results During sampling, the median(P25, P75)of mass concentration was 78.23(50.05, 218.93)μg/m3 for PM2.5 and 58.06(25.23, 112.13)ng/m3 for PM2.5-bound PAHs. The medians of mass concentrations of PM2.5 and PM2.5-bound PAHs on heavily polluted days were 3.94 and 2.89 times higher than those on non-heavily polluted days, respectively. On both heavily polluted days and non-heavily polluted days, fluoranthene, benzobfluoranthene, and pyrene had the highest proportion among PAHs, accounting for 50% in total, followed by BaP, accounting for 10%. Four-ring PAHs had the highest proportion of 50.5%±9.2%, followed by five-ring PAHs (34.5%±7.2%) and six-ring PAHs (15.0%±3.7%). There was no significant difference in the distribution of PAHs components and PAHs with different numbers of rings between heavily polluted days and non-heavily polluted days. The mean of characteristic ratios of four-ring PAHs/(five-ring PAHs+six-ring PAHs), BaP/BghiP, Ind/(Ind+BghiP), FlT/(FlT+Pyr), and BaA/(BaA+Chr) were 1.08, 1.56, 0.53, 0.58, and 0.49, respectively, that indicated PAHs mainly came from local sources of coal/biomass combustion and traffic emission.
      Conclusion There was a relatively high pollution level of PM2.5-bound PAHs in the district of Beijing during the heating season in 2016, and coal combustion and vehicle exhaust were the main sources of PM2.5-bound PAHs. It implied that surrounding residents should take good personal health protection measures during the heating season.

       

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