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我国城市群环境空气颗粒物浓度分布特征研究

刘莹 和金梅 郭敏 谭玉菲 赵彦云 王宗爽

刘莹,和金梅,郭敏,等.我国城市群环境空气颗粒物浓度分布特征研究[J].环境工程技术学报,2024,14(2):407-415 doi: 10.12153/j.issn.1674-991X.20230707
引用本文: 刘莹,和金梅,郭敏,等.我国城市群环境空气颗粒物浓度分布特征研究[J].环境工程技术学报,2024,14(2):407-415 doi: 10.12153/j.issn.1674-991X.20230707
LIU Y,HE J M,GUO M,et al.Study on the distribution characteristics of air particle concentration in urban agglomeration in China[J].Journal of Environmental Engineering Technology,2024,14(2):407-415 doi: 10.12153/j.issn.1674-991X.20230707
Citation: LIU Y,HE J M,GUO M,et al.Study on the distribution characteristics of air particle concentration in urban agglomeration in China[J].Journal of Environmental Engineering Technology,2024,14(2):407-415 doi: 10.12153/j.issn.1674-991X.20230707

我国城市群环境空气颗粒物浓度分布特征研究

doi: 10.12153/j.issn.1674-991X.20230707
基金项目: 国家重点研发计划项目(2022YFC3703001)
详细信息
    作者简介:

    刘莹(1997—),女,博士,主要从事环境经济统计研究,lytx1106@163.com

    通讯作者:

    王宗爽(1978—),男,研究员,博士,主要从事国家大气与应对气候变化生态环境标准研究,wzoshuang@163.com

  • 中图分类号: X51

Study on the distribution characteristics of air particle concentration in urban agglomeration in China

  • 摘要:

    利用2015—2022年颗粒物(PM2.5和PM10)监测数据,从浓度水平和统计学分布2个角度,采用日均浓度、年均浓度、概率论角度达标情况和达标所需浓度降低量4个维度分析我国10个城市群(169个城市)的颗粒物浓度分布特征及异同。结果表明,我国城市群内部颗粒物浓度污染水平趋于平稳,城市群之间颗粒物浓度差异较大。我国城市群颗粒物浓度存在分层现象,根据颗粒物浓度水平将10个城市群分为高浓度、中浓度、低浓度城市群3类。从统计学分布角度也分为3类,但关中平原城市群被划分到高浓度城市群,其余城市群分类则不变。我国城市群之间颗粒物达标( GB 3095—2012《环境空气质量标准》二级标准)所需浓度降低量差异显著。海峡西岸城市群的PM2.5和PM10以及珠三角城市群的PM10已经达标,而中原、关中平原、京津冀和山东半岛城市群如果要达标,PM2.5和PM10浓度分别需降低50%和27%以上。建议科学制定符合我国国情的颗粒物区域阶段目标值,推动城市群结合自身情况加快分阶段达标。

     

  • 图  1  10个城市群分布

    Figure  1.  Distribution map of 10 urban agglomerations

    图  2  10个城市群2015—2022年PM2.5和PM10日均浓度

    Figure  2.  Box plots of daily mean concentrations of PM2.5 and PM10 for 10 urban agglomerations from 2015 to 2022

    图  3  10个城市群2015—2022年PM2.5和PM10年均浓度

    Figure  3.  Scatter plots of PM2.5 and PM10 annual average values for 10 urban agglomerations from 2015 to 2022

    图  4  10个城市群2022年PM2.5和PM10浓度直方图

    Figure  4.  Histograms of PM2.5 and PM10 concentration for 10 urban agglomerations in 2022

    表  1  10个城市群PM2.5和PM10未达标频率

    Table  1.   Frequency of PM2.5 and PM10 non-compliance in 10 urban agglomerations % 

    城市群 PM2.5 PM10
    ZY 13.7 7.3
    GZPY 11.0 6.9
    JJJ 7.9 3.5
    SDBD 6.6 3.1
    CY 5.7 1.1
    CJZY 4.7 0.8
    LZN 3.1 0.8
    CSJ 1.8 0.4
    ZSJ 0.5 0.0
    HXXA 0.1 0.0
    下载: 导出CSV

    表  2  10个城市群PM2.5和PM10超标临界浓度及达标所需降低量

    Table  2.   Exceeding critical concentration and reduction required for PM2.5 and PM10 compliance in 10 urban agglomerations

    城市群 PM2.5 PM10
    超标临界浓度/
    (μg/m3
    降低量/% 超标临界浓度/
    (μg/m3
    降低量/%
    ZY 205.70 63.5 287.41 47.8
    GZPY 189.89 60.5 294.19 49.0
    JJJ 177.64 57.8 240.07 37.5
    SDBD 158.96 52.8 206.53 27.4
    CY 150.04 50.0 192.23 22.0
    CJZY 139.12 46.1 177.26 15.4
    LZN 125.60 40.3 178.24 15.8
    CSJ 106.32 29.5 157.56 4.8
    ZSJ 85.51 12.3 103.40 −45.1
    HXXA 63.56 −18.0 86.60 −73.2
    下载: 导出CSV
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  • 收稿日期:  2023-10-05
  • 录用日期:  2024-01-16
  • 修回日期:  2023-12-18

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