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A case study of surface ozone source apportionment during a high concentration episode, under frequent shifting wind conditions over the Yangtze River Delta, China

机译:长江三角洲频繁风变条件下高浓度事件中地表臭氧源分配的案例研究

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摘要

Surface ozone is an environmental issue occurring at several scales, ranging from local to continental. One of the most developed regions in China, the Yangtze River Delta (YRD), experiences severe tropospheric ozone problem. Hence, quantifying the contributions from various geographical source regions is helpful for better understanding the regional ozone problem. Ozone source apportionment studies can provide relevant information for designing suitable air pollution protection strategies. In the present work, the WRF-Chem model coupled with an online ozone tagging method is applied to a case study, with the objective of exploring the ozone contributions to the surface ozone from different source regions over the YRD region, during a frequent wind-shifting period. Our results show that the YRD was highly affected by the upwind source regions bearing high values both ozone and its precursors. The contribution from the source region outside the main air pollution zones in the Central Eastern China (super regional contribution) was also important, accounting for more than 30 ppb of daytime maximum mean ozone concentrations. Ozone arising from increased local and regional emissions during high-concentration events was more significant than super regional contribution. It reveals that the ozone from Anhui region was transported through vertical mixing and horizontal advection to receptor areas in the YRD during the study time focus. Chemical process contributed significantly at ground and high altitude levels of 500 and 1000 m. However, most of the ozone from the remote regions of Henan and Hubei provinces was transported to the receptor of Nanjing through physical processes. The vertical mixing process played a crucial positive role at super regional scales, with regard to the formation of surface ozone over the YRD region during the addressed time interval.
机译:地表臭氧是一个环境问题,发生在从地方到大陆的多个规模。中国最发达的地区之一,长江三角洲(YRD)经历了严重的对流层臭氧问题。因此,量化来自各个地理来源区域的贡献有助于更好地理解区域臭氧问题。臭氧源分配研究可为设计合适的空气污染保护策略提供相关信息。在目前的工作中,将WRF-Chem模型与在线臭氧标记方法结合起来用于案例研究,目的是探索在频繁的风吹袭期间,长三角地区不同源区臭氧对地表臭氧的贡献。轮班期。我们的结果表明,YRD受具有高价值的臭氧及其前体的上风源区的强烈影响。来自中东部主要空气污染区以外的源区域的贡献(超级区域贡献)也很重要,占白天最大平均臭氧浓度超过30 ppb。高浓度事件期间本地和区域排放量增加所产生的臭氧比超级区域的贡献更为重要。结果表明,在研究时间范围内,安徽地区的臭氧通过垂直混合和水平对流输送到长三角地区的受体区域。在500和1000 m的地面和高海拔水平上,化学过程做出了重要贡献。然而,来自河南和湖北两省偏远地区的大部分臭氧通过物理过程被输送到南京的受体。垂直混合过程在超区域尺度上起着至关重要的积极作用,这涉及到在指定的时间间隔内在YRD区域上方形成的表面臭氧。

著录项

  • 来源
    《The Science of the Total Environment》 |2016年第15期|853-863|共11页
  • 作者单位

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China;

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China;

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China;

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China;

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China;

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, China;

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

    Ozone tagging method; Source apportionment; YRD; WRF-Chem;

    机译:臭氧标记方法;来源分配;长三角WRF化学;

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