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基于时空数据挖掘的大气重污染传输过程时空规律分析

屠星月 邵社刚 张潇天 王维 孙彩萍 王标 康玉麟

屠星月,邵社刚,张潇天,等.基于时空数据挖掘的大气重污染传输过程时空规律分析[J].环境工程技术学报,2023,13(3):940-948 doi: 10.12153/j.issn.1674-991X.20220696
引用本文: 屠星月,邵社刚,张潇天,等.基于时空数据挖掘的大气重污染传输过程时空规律分析[J].环境工程技术学报,2023,13(3):940-948 doi: 10.12153/j.issn.1674-991X.20220696
TU X Y,SHAO S G,ZHANG X T,et al.Analysis of transmission spatio-temporal pattern of atmospheric heavy pollution events based on spatiotemporal data mining[J].Journal of Environmental Engineering Technology,2023,13(3):940-948 doi: 10.12153/j.issn.1674-991X.20220696
Citation: TU X Y,SHAO S G,ZHANG X T,et al.Analysis of transmission spatio-temporal pattern of atmospheric heavy pollution events based on spatiotemporal data mining[J].Journal of Environmental Engineering Technology,2023,13(3):940-948 doi: 10.12153/j.issn.1674-991X.20220696

基于时空数据挖掘的大气重污染传输过程时空规律分析

doi: 10.12153/j.issn.1674-991X.20220696
基金项目: 大气重污染成因与治理攻关项目(DQGG2021101);公路交通环境保护技术交通行业重点实验室开放课题“基于多源遥感监测的公路网识别技术研究”
详细信息
    作者简介:

    屠星月(1989—),女,博士,主要从事环境信息研究,tu.xingyue@craes.org.cn

    通讯作者:

    王维(1977—),男,研究员,博士,主要从事环境信息研究,weiwang@craes.org.cn

  • 中图分类号: X51

Analysis of transmission spatio-temporal pattern of atmospheric heavy pollution events based on spatiotemporal data mining

  • 摘要:

    为掌握区域性空气污染传输扩散时空规律,支撑大气污染区域联防联控及应急管控,基于空气质量地面观测数据和时空数据挖掘算法,识别重污染气团的区域传输路径和传输强度,以2021年春季和冬季期间京津冀地区的PM2.5重污染过程为例进行验证。结果表明:研究时段内京津冀地区共发生17次区域重污染,长(>48 h)、中长(24~48 h)、短(<24 h)时间的污染过程分别为3、7和7次,长时间污染过程均发生在春季,污染强度较高,污染范围和传输范围覆盖整个区域;中长和短时间污染过程春、冬季均有发生,污染强度较低,前者影响范围(>80%)高于后者(<63%);中长时间污染过程的传输范围存在季节性差异。京津冀各城市的重污染过程污染传输强度系数普遍符合本地(0.32~1.00)>城市内(0.01~0.95)>城市间(0.00~0.28)的规律,其中,邢台市的城市间传输强度大于城市内传输,衡水市对周边城市的影响则低于平均水平。

     

  • 图  1  研究思路流程

    Figure  1.  Research workflow

    图  2  研究区内监测站和空间样点的分布格局

    Figure  2.  Spatial pattern of observation stations and spatial sampling points in the study area

    图  3  多级污染传输路径示意

    Figure  3.  Schematic diagram of multi-level pollution transmission paths

    图  4  典型重污染过程传输路径空间格局

    Figure  4.  Spatial pattern of transmission paths in typical heavy pollution events

    图  5  典型重污染过程中各城市的平均污染传输强度系数及污染物浓度

    Figure  5.  Aaverage pollution transmission intensity coefficient and pollutant concentration of each city in typical heavy pollution events

    表  1  重污染过程基本特征

    Table  1.   Characteristics of heavy pollution process

    序号开始时间结束时间持续时长/h时长分类污染样点数/个PM2.5浓度均值/
    (μg/m3
    本地污染
    强度系数
    污染传输强度系数
    城市内城市间
    P101-01 00:0001-04 13:0085长时间80280.670.570.320.14
    P202-10 21:0002-14 17:0092长时间159148.980.760.180.11
    P302-26 01:0002-28 23:0070长时间97184.810.740.220.10
    P401-21 19:0001-23 10:0039中长时间127112.860.820.140.16
    P501-24 19:0001-26 14:0043中长时间141132.960.750.120.11
    P603-04 09:0003-05 16:0031中长时间13488.500.92
    P703-09 05:0003-10 15:0034中长时间14094.380.830.140.07
    P810-29 18:0010-31 12:0042中长时间133109.490.840.190.14
    P911-05 09:0011-06 20:0035中长时间154124.290.810.140.10
    P1011-17 21:0011-19 08:0035中长时间150106.530.750.110.10
    P1101-23 22:0001-24 14:0016短时间51106.15
    P1201-26 22:0001-27 21:0023短时间9296.04
    P1303-14 00:0003-14 13:0013短时间10274.70
    P1403-15 07:0003-16 06:0023短时间160111.44
    P1510-25 18:0010-26 11:0017短时间77112.10
    P1611-04 14:0011-05 06:0016短时间71101.78
    P1711-28 18:0011-29 15:0021短时间9684.69
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  • 收稿日期:  2022-07-06
  • 录用日期:  2022-10-14
  • 修回日期:  2022-08-06
  • 网络出版日期:  2022-10-28

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