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Air pollution episodes during the COVID-19 outbreak in the Beijing-Tianjin-Hebei region of China: An insight into the transport pathways and source distribution

机译:中国京津冀地区Covid-19爆发期间的空气污染事件:对运输途径和源分布的洞察

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摘要

Although anthropogenic emissions decreased, polluted days still occurred in the Beijing-Tianjin-Hebei (BTH) region during the initial outbreak of the coronavirus disease (COVID-19). Analysis of the characteristics and source distribution of large-scale air pollution episodes during the COVID-19 outbreak (from 23 January to April 8, 2020) in the BTH region is helpful for exploring the efficacy of control measures and policy making. The results indicated that the BTH region suffered two large-scale air pollution episodes (23-28 January and 8-13 February), which were characterized by elevated PM2.5, SO2, NO2, and CO concentrations, while the O-3 concentration decreased by 1.5%-33.9% (except in Shijiazhuang, where it increased by 16.6% during the second episode). These large-scale air pollution episodes were dominated by unfavorable meteorological conditions comprising a low wind speed and increased relative humidity. The transport pathways and source distribution were explored using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT), potential source contribution function (PSCF), and concentration weighted trajectory (CWT) models. The air pollution in the BTH region was mainly affected by local emission sources during the first episode, which contributed 51.6%-60.6% of the total trajectories in the BTH region with a PM2.5 concentration ranging from 146.2 mg/m3 to 196.7 mg/m(3). The short-distance air masses from the southern and southwestern areas of the BTH region were the main transport pathways of airflow arriving in the BTH region during the second episode. These contributed 51.9%-57.9% of the total trajectories and originated in Hebei, Henan, central Shanxi, and Shaanxi provinces, which were the areas contributing the most to the PM2.5 level and exhibited the highest PSCF and CWT values. Therefore, on the basis of local emission reduction, enhancing regional environmental cooperation and implementing a united prevention and control of air pollution are effective mitigation measures for the BTH region. (c) 2020 Elsevier Ltd. All rights reserved.
机译:虽然人类学排放减少,但在北京 - 天津 - 河北(BTH)地区仍发生污染日,冠心病病毒疾病(Covid-19)。在BTH地区的Covid-19爆发期间大规模空气污染发作的特点和源分布分析,有助于探索控制措施和政策制定的效果。结果表明,BTH区域遭遇了两个大型空气污染集(1月2日和8-13日),其特征在于PM2.5,SO2,NO2和CO浓度升高,而O-3浓度减少1.5%-33.9%(在石家庄除外,在第二集中期间增加了16.6%)。这些大规模的空气污染剧集由不利的气象条件主要包括低风速和相对湿度增加。使用混合单粒子拉格朗日集成轨迹(HYSPLIT),潜在的源贡献功能(PSCF)和浓度加权轨迹(CWT)模型来探索运输路径和源分布。 BTH地区的空气污染主要受到本地发射来源的第一集地区的影响,其中BTH地区总轨迹的51.6%-60.6%,PM2.5浓度范围从146.2 mg / m3至196.7 mg / m(3)。 BTH区域南部和西南地区的短距离空气群体是在第二集中到达BTH地区的气流的主要运输路径。这些贡献总轨迹的51.9%-57.9%,起源于河北,河南,山西省山西和陕西省,这是贡献PM2.5级别最大的领域,并展现了最高的PSCF和CWT值。因此,在局部排放减排的基础上,加强区域环境合作,实施统一预防和控制空气污染是对BTH地区的有效缓解措施。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2020年第2期|115617.1-115617.11|共11页
  • 作者单位

    Fudan Univ Shanghai Key Lab Atmospher Particle Pollut & Prev Inst Atmospher Sci Dept Environm Sci & Engn Shanghai 200433 Peoples R China;

    China Univ Petr East China Dept Environm & Safety Engn Coll Chem Engn Qingdao 266580 Peoples R China;

    Municipal Res Inst Environm Protect Beijing 100037 Peoples R China|Key Lab Beijing VOC Pollut Control Technol & Appl Beijing 100037 Peoples R China;

    Beijing Univ Technol Key Lab Beijing Reg Air Pollut Control Beijing 100124 Peoples R China;

    Beijing Univ Technol Key Lab Beijing Reg Air Pollut Control Beijing 100124 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air pollution; Beijing-Tianjin-Hebei region; COVID-19; Regional transport; PSCF/CWT;

    机译:空气污染;北京 - 天津 - 河北地区;Covid-19;区域运输;PSCF / CWT;
  • 入库时间 2022-08-18 23:02:27

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