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基于粒径谱分布的南京市区大气颗粒物来源解析

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王振, 马嫣, 郑军, 李时政, 王荔, 张亚飞. 基于粒径谱分布的南京市区大气颗粒物来源解析[J]. 环境化学, 2015, 34(9): 1619-1626. doi: 10.7524/j.issn.0254-6108.2015.09.2015020303
引用本文: 王振, 马嫣, 郑军, 李时政, 王荔, 张亚飞. 基于粒径谱分布的南京市区大气颗粒物来源解析[J]. 环境化学, 2015, 34(9): 1619-1626. doi: 10.7524/j.issn.0254-6108.2015.09.2015020303
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WANG Zhen, MA Yan, ZHENG Jun, LI Shizheng, WANG Li, ZHANG Yafei. Source apportionment of aerosols in urban Nanjing based on particle size distribution[J]. Environmental Chemistry, 2015, 34(9): 1619-1626. doi: 10.7524/j.issn.0254-6108.2015.09.2015020303
Citation: WANG Zhen, MA Yan, ZHENG Jun, LI Shizheng, WANG Li, ZHANG Yafei. Source apportionment of aerosols in urban Nanjing based on particle size distribution[J]. Environmental Chemistry, 2015, 34(9): 1619-1626. doi: 10.7524/j.issn.0254-6108.2015.09.2015020303
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基于粒径谱分布的南京市区大气颗粒物来源解析

  • 1.

    南京信息工程大学环境科学与工程学院;江苏省大气环境监测与污染控制高技术研究重点实验室, 南京, 210044

  • 基金项目:

    国家自然科学基金(21377059,41275142)

    江苏省自然科学基金(BK2012861)

    江苏省六大人才高峰项目(JNHB-006)资助.

Source apportionment of aerosols in urban Nanjing based on particle size distribution

  • 1.

    School of Environmental Science and Engineering, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing, 210044, China

  • Fund Project:

  • 摘要: 2013年8月8日—2013年8月29日期间,于南京市气象局采用扫描电迁移率粒径谱仪(SMPS)连续监测颗粒物粒径谱分布.运用正交矩阵因子分析法(PMF)分析得出了观测期间气溶胶粒径分布的4个源.结合痕量气体数据(NOx)、气溶胶光吸收系数(Babs781)和颗粒物化学成分(SO42-、NO3-)确认出4个源,即近处交通排放源、远处交通排放源、混合燃烧排放源和二次气溶胶源.同时基于气象数据(风向和风速),通过条件概率函数(CPF)判断出4个源的方位.近、远处交通源与NOx的日变化规律相似,混合燃烧源与Babs781具有较为一致的变化趋势,而二次气溶胶源与SO42-和NO3-浓度之和有较好的相关性.4个源的贡献率依次分别为14%、24%、37%和25%,表明混合燃烧排放的相对贡献最大.
    Abstract: The size distribution of aerosols was monitored using SMPS during 2013/8/1—2013/8/29 in urban Nanjing. Through Positive Matrix Factorization (PMF) analysis, four sources were revealed from the particle size distribution. Combined with the data of trace gases (NOx), aerosol absorption coefficient(Babs781) and chemical composition (SO42-, NO3-), the four sources were identified as adjacent traffic emission,long-distance traffic emission,mix combustion emission, and secondary aerosol, respectively. Meanwhile, based on meteorological data, the directions of the four sources were analyzed using Conditional Probability Functions (CPF). The results show that Factor 1 and factor 2 had diurnal variations similar to NOx, the trend of variation of Factor 3 was very close to that of Babs781, while Factor 4 was well correlated with the sum of SO42- and NO3- concentrations. The contributions of the four sources were 14%,24%, 37% and 25%,respectively, with the mix combustion emission source being the largest contributor to the particle number concentration.
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  • 收稿日期:  2015-02-03
  • 刊出日期:  2015-09-15

基于粒径谱分布的南京市区大气颗粒物来源解析

  • 1. 南京信息工程大学环境科学与工程学院;江苏省大气环境监测与污染控制高技术研究重点实验室, 南京, 210044
  • 收稿日期:  2015-02-03
基金项目:

国家自然科学基金(21377059,41275142)

江苏省自然科学基金(BK2012861)

江苏省六大人才高峰项目(JNHB-006)资助.

摘要: 2013年8月8日—2013年8月29日期间,于南京市气象局采用扫描电迁移率粒径谱仪(SMPS)连续监测颗粒物粒径谱分布.运用正交矩阵因子分析法(PMF)分析得出了观测期间气溶胶粒径分布的4个源.结合痕量气体数据(NOx)、气溶胶光吸收系数(Babs781)和颗粒物化学成分(SO42-、NO3-)确认出4个源,即近处交通排放源、远处交通排放源、混合燃烧排放源和二次气溶胶源.同时基于气象数据(风向和风速),通过条件概率函数(CPF)判断出4个源的方位.近、远处交通源与NOx的日变化规律相似,混合燃烧源与Babs781具有较为一致的变化趋势,而二次气溶胶源与SO42-和NO3-浓度之和有较好的相关性.4个源的贡献率依次分别为14%、24%、37%和25%,表明混合燃烧排放的相对贡献最大.

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