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长三角地区2015年大气重污染特征及其影响因素

  • Qiannan She
  • , Qian Xu
  • , Taoye Zhou
  • , Tong Feng
  • , Zhehao Ren
  • , Min Liu*
  • *此作品的通讯作者
  • East China Normal University
  • Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration
  • Pudong New Area Environmental Monitoring Station
  • Institute of Eco-Chongming (IEC)

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

We analyzed ground air quality measurements from 129 monitoring stations in the Yangtze River Delta (YRD) region during 2015 to examine the spatial and temporal variabilities of severe air pollution episodes in this region. By using the meteorological information and backward trajectory model, we investigated the effects of meteorological factors and regional transport on typical severe air pollution episodes. There were on average eight days of severe air pollution (AQI >200) in 2015 in each city, and PM 2.5 was the primary contributor. High AQI days were mainly concentrated in January and December. Spatially, monitoring data indicated more frequent high pollution days in the northern region of the YRD as compared to the southern region. In particular, Xuzhou city and Changzhou city had seen the most frequent high pollution days. We then analyzed three representative large regional episodes, i.e., a "north-south diffusion type" during January 9-11, an "east-west diffusion type" during January 24-26, and a "multi-process diffusion type" during December 20-26. During these heavy air pollution episodes, the predominant wind was of northwesterly direction, and the atmosphere was more stagnant as indicated by lower wind speeds and high relative humidity. Analysis of the backward trajectories and frequency distributions showed that the airflow from the northwest had an important influence on the transport of air pollutants in the YRD and particularly the northern region of Jiangsu Province.

投稿的翻译标题Characteristics of heavy air pollution episode and its impacting factors in the Yangtze River Delta during 2015
源语言繁体中文
页(从-至)3185-3196
页数12
期刊Huanjing Kexue Xuebao / Acta Scientiae Circumstantiae
卷38
期8
DOI
出版状态已出版 - 6 8月 2018

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 11 - 可持续城市和社区
    可持续发展目标 11 可持续城市和社区

关键词

  • Backward trajectory model
  • Meteorological condition
  • PM
  • Spatial and temporal variability

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