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乡镇尺度下PM2.5时空分布

李秋芳 丁学英 刘翠棉 曹仁杰 谷金峰 王杨

李秋芳,丁学英,刘翠棉,等.乡镇尺度下PM2.5时空分布:以石家庄市为例[J].环境工程技术学报,2022,12(3):683-692 doi: 10.12153/j.issn.1674-991X.20210474
引用本文: 李秋芳,丁学英,刘翠棉,等.乡镇尺度下PM2.5时空分布:以石家庄市为例[J].环境工程技术学报,2022,12(3):683-692 doi: 10.12153/j.issn.1674-991X.20210474
LI Q F,DING X Y,LIU C M,et al.Research on the temporal and spatial distribution of PM2.5 at the township scales: a case study in Shijiazhuang City[J].Journal of Environmental Engineering Technology,2022,12(3):683-692 doi: 10.12153/j.issn.1674-991X.20210474
Citation: LI Q F,DING X Y,LIU C M,et al.Research on the temporal and spatial distribution of PM2.5 at the township scales: a case study in Shijiazhuang City[J].Journal of Environmental Engineering Technology,2022,12(3):683-692 doi: 10.12153/j.issn.1674-991X.20210474

乡镇尺度下PM2.5时空分布—以石家庄市为例

doi: 10.12153/j.issn.1674-991X.20210474
基金项目: 环境模拟与污染控制国家重点联合实验室开放课题(22K03ESPCP);河北省化工行业挥发性有机物检测与治理技术创新中心基金项目(ZXJJ20210406);河北师范大学技术创新基金项目(L2021K03)
详细信息
    作者简介:

    李秋芳(1986—),女,工程师,硕士,研究方向为环境质量监测与评价,296832407@qq.com

    通讯作者:

    刘翠棉(1974—),女,高级工程师,硕士,研究方向为环境监测,liuxinyi9911@126.com

    王杨(1986—),女,讲师,博士,研究方向大气污染物排放特征与光学性质,wangyang@hebtu.edu.cn

  • 中图分类号: X823

Research on the temporal and spatial distribution of PM2.5 at the township scales: a case study in Shijiazhuang City

  • 摘要:

    利用261个乡镇环境空气自动监测站监测数据,结合GIS空间分析技术,在乡镇尺度下分析2018年石家庄市PM2.5时空分布特征,并探讨PM2.5与气态前体物SO2、NO2的相关性特征。结果表明:2018年261个乡镇PM2.5年均浓度为41~112 μg/m3,均超过GB 3095—2012《环境空气质量标准》二级标准。PM2.5浓度总体呈西北部地势较高的山区低于东南部的平原地区、主城区低于周边县(市、区)的分布态势;石家庄市PM2.5浓度冬季最高,夏季最低,1—3月、11—12月为PM2.5污染较重的月份,4—9月为污染较轻的月份,其中8月为PM2.5月均浓度最小的月份;观测期间,PM2.5浓度与SO2、NO2浓度均呈显著正相关,相关性在夏季最低,冬季最显著,且污染程度越重的区域相关性越显著。

     

  • 图  1  石家庄市261个乡镇站分布情况

    Figure  1.  Distribution of 261 township stations in Shijiazhuang City

    图  2  PM2.5浓度年均值空间分布

    Figure  2.  Spatial distribution of annual concentration of PM2.5

    图  3  PM2.5浓度季节性空间分布

    Figure  3.  Seasonal change of PM2.5 concentrations

    图  4  PM2.5浓度月度空间分布

    Figure  4.  Spatial distribution of monthly PM2.5 concentrations

    图  5  PM2.5与SO2浓度相关性

    Figure  5.  Correlation of PM2.5 and SO2

    图  6  PM2.5与NO2浓度相关性

    Figure  6.  Correlation of PM2.5 and NO2

    图  7  各季节石家庄市PM2.5与SO2浓度相关性

    Figure  7.  Correlation of PM2.5 and SO2 in Shijiazhuang in four seasons

    图  8  各季节石家庄市PM2.5与NO2浓度相关性

    Figure  8.  Correlation of PM2.5 and NO2 in Shijiazhuang in four seasons

    表  1  PM2.5浓度月度分布情况

    Table  1.   Monthly distribution of PM2.5 concentrations μg/m3

    项目1月2月3月4月5月6月7月8月9月10月11月12月采暖期非采暖期
    平均值1281131066660495043456612011512459
    最大值20017613790918586798510318521718985
    最小值3450603838241818173164455534
    最大浓度差166126775253616861687212117213451
    下载: 导出CSV
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  • 收稿日期:  2021-08-31
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