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徐州市供暖期空气污染特征及来源分析

冯春莉 饶永才 孟庆江 李辉 邓国庆 孙瑞

冯春莉,饶永才,孟庆江,等.徐州市供暖期空气污染特征及来源分析[J].环境工程技术学报,2023,13(2):501-509 doi: 10.12153/j.issn.1674-991X.20220300
引用本文: 冯春莉,饶永才,孟庆江,等.徐州市供暖期空气污染特征及来源分析[J].环境工程技术学报,2023,13(2):501-509 doi: 10.12153/j.issn.1674-991X.20220300
FENG C L,RAO Y C,MENG Q J,et al.Characteristics and sources apportionment of air pollution during heating period in Xuzhou[J].Journal of Environmental Engineering Technology,2023,13(2):501-509 doi: 10.12153/j.issn.1674-991X.20220300
Citation: FENG C L,RAO Y C,MENG Q J,et al.Characteristics and sources apportionment of air pollution during heating period in Xuzhou[J].Journal of Environmental Engineering Technology,2023,13(2):501-509 doi: 10.12153/j.issn.1674-991X.20220300

徐州市供暖期空气污染特征及来源分析

doi: 10.12153/j.issn.1674-991X.20220300
基金项目: 徐州市重点研发计划项目(社会发展KC20057)
详细信息
    作者简介:

    冯春莉(1988—),女,高级工程师,硕士,主要从事大气环境监测与管理,fcljulia@163.com

  • 中图分类号: X51

Characteristics and sources apportionment of air pollution during heating period in Xuzhou

  • 摘要:

    徐州市大气污染物浓度近年来下降明显,但供暖期的大气污染问题依然较为严重,研究供暖期空气污染特征及污染来源对于大气污染预警和防控具有重要作用。采用地面监测、遥感卫星监测、PM2.5组分分析、潜在源贡献因子法(PSCF)以及浓度权重轨迹分析(CWT)等方法,对徐州市2016—2020年5个供暖期的空气污染特征进行了分析,并对供暖期PM2.5来源进行了解析。结果表明:徐州市空气质量近年来有较大好转,但供暖期污染物浓度明显高于非供暖期。供暖对PM2.5浓度影响较大,供暖期PM2.5浓度较供暖前后升高40%~71%。供暖期Cl、NO3 、SO4 2−和NH4 +浓度明显高于供暖前后,说明供暖期NH4 +与NO3 、SO4 2−、Cl有高度相关性。PM2.5来源中燃煤源、工业源贡献占比供暖期分别较供暖后高出9.9%和13.9%,供暖期间的SOR、NOR明显大于非供暖期,SO2和NOx的二次转化效率明显升高。轨迹分析表明,供暖期影响徐州市的潜在源区主要分布在徐州市周边及河北省,PM2.5浓度大于75 μg/m3的主要贡献区集中在山东省、河南省、安徽省北部和河北省南部。

     

  • 图  1  2016—2020年供暖前、供暖期和供暖后污染物浓度

    Figure  1.  Pollutant concentrations before, during and after heating periods in 2016-2020

    图  2  2020年供暖前、供暖期和供暖后大气PM2.5的PMF因子

    Figure  2.  PMF factor diagram of PM2.5 before, during and after heating period in 2020

    图  3  2020年供暖期前、供暖期和供暖后PM2.5来源分析结果

    Figure  3.  Source apportionment results before, during and after heating period in 2020

    图  4  徐州市与其周边城市供暖期PM2.5浓度对比

    Figure  4.  PM2.5 concentrations in Xuzhou Cith and its surrounding cities during heating periods

    图  5  供暖期间气象要素及颗粒物污染风玫瑰图

    注:图中数字为风速,m/s。

    Figure  5.  Wind rose of meteorological elements and particulate pollution during heating periods

    图  6  2019年供暖期间后向轨迹

    Figure  6.  Backward trajectory during heating period in 2019

    图  7  2019年供暖期间潜在源区(PSCF)、贡献(CWT)分析

    Figure  7.  Potential source contribution factor (PSCF) and concentration-weighted trajectory (CWT) analysis of heating period in 2019

    表  1  供暖前、供暖期和供暖后PM2.5各组分浓度占比

    Table  1.   Proportion of PM2.5 component concentration before, during and after heating periods % 

    时期ClNO3 SO4 2−Na+NH4 +K+Mg2+Ca2+ECOM无机
    元素
    供暖前3.536.813.30.516.71.00.10.72.120.84.3
    供暖期4.637.211.40.316.41.00.10.62.221.54.8
    供暖后2.933.713.00.716.10.90.20.93.321.46.9
    下载: 导出CSV
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