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Measurement and minutely-resolved source apportionment of ambient VOCs in a corridor city during 2019 China International Import Expo episode

机译:2019年中国国际进口博览会社区在走廊市中的环境VOC的测量和细本解决的来源分配

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摘要

In this study, real-time measurement of Volatile Organic Compounds (VOCs) was conducted at an urban site in Changzhou, a typical corridor city in the Yangtze River Delta (YRD) region in China, by Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry (PTR-ToF-MS) during 2019 China International Import Expo (CUE) episode. An improved method based on Air Quality Index (AQJ) value is applied to identify polluted and clean periods. Diurnal pattern of VOC levels revealed elevated photochemical reactivity during polluted periods. Five VOC sources were identified by Positive Matrix Factorization (PMF) model, including secondary formation (22.71 ± 12.33%), biogenic (21.50% ± 11.76%), solvent usage (20.50 ± 10.07%), vehicle exhaust (18.32 ± 8.32%), and industrial process and fuel usage (16.96 ± 13.21%). The mean contribution of vehicular exhaust was 10.84% higher during the nighttime than the daytime under polluted days. The biogenic source contributed more during clean periods, while the secondary formation presented the opposite. Spatial analysis displayed that the VOC concentration was higher in the S and SSE. In terms of the regional transport, short-distance air masses from the northeast and the south within the YRD region led to high VOC levels and biogenic VOC derived from the ocean might affect the entire region. Stringent emission control policies enforced over the YRD for 2019 CUE provided an excellent opportunity to determine the source-receptor response. As joint control area, the VOC level of Changzhou exhibited a substantial reduction and the VOC amounts emitted by solvent usage showed the biggest decrease (-58%). The findings of this study highlight the superiority of high time-resolved data in identifying the dynamic variation pattern (with the change of time and wind) of VOC levels and emission intensities.
机译:在这项研究中,通过质子转移 - 反应时间 - 常州市常州市常州市区的城市现场进行挥发性有机化合物(VOC)的实时测量。飞行质谱(PTR-TOF-MS)2019年中国国际进口博览会(CUE)集团。应用了一种基于空气质量指数(AQJ)值的改进方法来识别污染和干净的时期。 VOC水平的昼夜模式显示出污染时段的光化学反应性升高。通过阳性基质分解(PMF)模型来鉴定五个VOC源,包括二次形成(22.71±12.33%),生物生物(21.50%±11.76%),溶剂使用(20.50±10.07%),车辆排气(18.32±8.32%) ,工业过程和燃料使用(16.96±13.21%)。在夜间时,车辆排气的平均贡献比污染日落的白天更高。生物源在清洁时期贡献更多,而二级形成呈现相反。空间分析显示,SSE中的VOC浓度更高。就区域运输而言,yrd地区内部的远程空气群体和南部的南部导致高VOC水平,源自海洋的生物转霉可能会影响整个地区。对2019年的YRD强制执行的严格排放控制政策提供了确定源 - 受体响应的绝佳机会。作为联合控制区域,常州的VOC水平表现出大幅减少,溶剂使用发出的VOC量显示出最大的减少(-58%)。本研究的结果突出了在识别VOC水平和排放强度的动态变化模式(随着时间和风的变化)中的高时间解决数据的优越性。

著录项

  • 来源
    《Science of the total environment》 |2021年第1期|149375.1-149375.13|共13页
  • 作者单位

    State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University Beijing 100084 China;

    Digital Fujian Internet-of-things Laboratory of Environmental Monitoring School of Environmental Science and Engineering Fujian Normal University Fuzhou 350007 China;

    College of Eco-environmental Engineering Qinghai University Xining 810016 China;

    State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University Beijing 100084 China;

    State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University Beijing 100084 China;

    State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University Beijing 100084 China;

    State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex Shanghai Academy of Environmental Sciences Shanghai 200233 China;

    State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex Shanghai Academy of Environmental Sciences Shanghai 200233 China;

    Changzhou Environmental Monitoring Center of Jiangsu Province Changzhou 213001 China;

    State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University Beijing 100084 China;

    State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University Beijing 100084 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PTR-ToF-MS; VOCs; Source apportionment; Regional transport; Emission control policies; 2019 China International Import Expo;

    机译:PTR-TOF-MS;VOCS;来源分配;区域运输;排放控制政策;2019年中国国际进口博览会;

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