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Characteristics and potential sources of wintertime air pollution in Linfen, China

机译:中国临汾冬季空气污染的特征与潜在来源

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摘要

Linfen in China's Shanxi Province suffers severe air pollution in winter. Understanding the characteristics of air pollution and providing scientific support to mitigate such pollution are urgent matters. This study investigated the variations of PM2.5, PM10, NO2, SO2, O-3, and CO in Linfen between December 1, 2019 and February 29, 2020. The mean concentrations of PM2.5, PM10, NO2, SO2, MDA8 (the maximum daily 8-h average) O-3, and CO were 106.2, 139.4, 47.2, 41.0, 57.0 mu g m(-3), and 1.8 mg m(-3), respectively. Large amounts of pollutants emitted by coal burning, industry, vehicles, and residents contributed to air pollution. Unfavorable meteorological conditions, such as lower temperature, weaker wind, higher relative humidity, and reduced planetary boundary layer height, made the situation worse. Fireworks and firecrackers set off to celebrate traditional Chinese festivals caused the concentration of PM pollutants to spike, with the maximum daily mean concentration of PM2.5 reached 314 mu g m(-3) and the peak hourly value reached 378.0 mu g m(-3). Suspensions of commercial and social activities due to COVID-19 reduced anthropogenic emissions, mainly from industry and transportation, which decreased the level of air pollutants other than O-3. Analyses involving backward trajectory cluster, the potential source contribution function, and concentration weighted trajectory demonstrated that PM2.5 pollution mainly came from local emissions in Shanxi Province and regional transport from Inner Mongolia, Shaanxi, Hebei, Henan, and Gansu provinces. Shanxi and its surrounding provinces should adopt measures such as tightening environmental management standards, promoting the use of renewable energy, and adjusting the transportation structure to reduce regional emissions. This study will help policy-makers draft plans and policies to reduce air pollution in Linfen.
机译:临汾在中国的山西省冬季遭受了严重的空气污染。了解空气污染的特点,为减轻此类污染提供科学支持是紧急事项。本研究调查了2019年12月1日至2月29日至2月29日至2月2月29日至2月2月29日期间PM2.5,PM10,NO2,SO2,O-3和CO的变化。平均浓度PM2.5,PM10,NO2,SO2,MDA8 (每日每日8-H平均值)O-3和CO分别为106.2,139.4,47.2,41.0,57.0μmg(-3)和1.8mg m(-3)。煤炭燃烧,工业,车辆和居民发出的大量污染物导致空气污染。不利的气象条件,如较低的温度,较弱的风,相对湿度,降低行星边界层高度,使情况变得更糟。烟花和鞭炮出发,旨在庆祝中国传统节日,导致PM污染物浓度飙升,最大每日平均浓度PM2.5达到314亩(-3),达到378.0 mm gm(-3) 。由于Covid-19减少的人为排放,主要来自工业和运输,商业和社会活动的暂停,这减少了O-3以外的空气污染物水平。涉及向后轨迹集群的分析,潜在的源贡献功能和浓度加权轨迹表明,PM2.5污染主要来自山西省当地排放以及内蒙古,陕西,河北,河南和甘肃省的区域运输。山西及其周边省份应采取紧缩环境管理标准等措施,促进使用可再生能源,并调整运输结构以减少区域排放。本研究将有助于政策制定者向林芬减少空气污染的计划和政策草案。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2021年第5期|252.1-252.14|共14页
  • 作者单位

    Chinese Acad Meteorol Sci Inst Atmospher Composit & Environm Meteorol State Key Lab Severe Weather China Meteorol Adm Beijing 100081 Peoples R China|Chinese Acad Meteorol Sci Inst Atmospher Composit & Environm Meteorol Key Lab Atmospher Chem China Meteorol Adm Beijing 100081 Peoples R China;

    Natl Meteorol Ctr Beijing 100081 Peoples R China;

    Univ Sci & Technol Beijing Sch Energy & Environm Engn Beijing 100083 Peoples R China;

    Beihang Univ Beijing 100191 Peoples R China;

    Beijing Polytech Beijing 100176 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《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air pollution; PM2; 5; Meteorological parameters; Potential source; Linfen;

    机译:空气污染;PM2;5;气象参数;潜在来源;临汾;

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