不同风向下南京臭氧污染的输送特征定量分析
作者:
作者单位:

南京信息工程大学 江苏省大气环境监测与污染控制高技术研究重点实验室/大气环境与装备技术协同创新中心/环境科学与工程学院

作者简介:

通讯作者:

中图分类号:

基金项目:


Quantitative analysis of transport characteristics of ozone pollution in Nanjing under different wind directions
Author:
Affiliation:

1.Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control,Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering,Nanjing University of Information Science and Technology;2.Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science &Technology

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
  • |
  • 资源附件
    摘要:

    近年来南京O3污染逐渐加剧,为了了解本地及周边城市排放对南京O3的影响,本研究利用源导向的WRF/CMAQ区域空气质量模型对长三角2018年3月-10月O3污染季节的空气质量进行了模拟。通过追踪长三角41个城市的排放,探究了长三角地区对南京O3的传输特征以及不同风向下的来源贡献。结果表明:研究期间南京O3非污染日和污染日的本地贡献差异不大,分别为56.8%和49.5%;而污染发生时周边城市对南京O3的贡献由36.4%增加至46.3%,长三角以外地区的贡献由6.8%减少至4.7%。;南京O3污染日江苏省内对其贡献共占73.1%,而浙江省、安徽省和上海市分别贡献了10.8%、10.5%和0.95%。污染期间南京本地分别由NOx和VOCs作为前体物生成O3(分别记为O3N和O3V)的贡献比率约为7:13,说明南京本地VOCs对O3生成贡献较大。污染日期间东南风和东北风占比分别为38.0%和35.9%,当主导风向为东北风时,上风向城市扬州对其贡献达13.6%;主导风向为东南风时,上风向城市常州(7.3%)、镇江(7.0%)和无锡(6.5%)对南京O3的贡献较大。因此,南京O3污染控制应考虑根据不同风向对上风向城市群的区域联防联控控制策略。

    Abstract:

    In recent years, O3 pollution in Nanjing has gradually intensified. In order to understand the impact of surrounding cities on O3 in Nanjing, we simulated the air quality in the Yangtze River Delta(YRD) using the source-oriented WRF/CMAQ regional air quality model from March to October 2018.By tracking the emissions from 41 cities in the YRD and outside the YRD, the characteristics of the transportation of O3 in Nanjing were analyzed under different winds. The results show that from March to October 2018, Nanjing contributes 56.8% of local O3 on polluted days, and contributed 49.5% on polluted days. When pollution occurs, the contribution of surrounding cities to Nanjing increased from 36.4% to 46.3%, and the contribution from outside the YRD to Nanjing decreased from 6.8% to 4.7%. From the perspective of daily changes, Nanjing O3 accounts for more than 70% of the local contribution during the daytime, and at night, most of the transport contributions come from surrounding cities and areas outside the YRD (more than 95%) .On all O3 pollution days, the contribution in Jiangsu Province accounts for 73.1%, 10.8% in Zhejiang Province, 10.5% in Anhui Province and 0.95% in Shanghai. During the pollution period, the contribution ratio of O3 (O3N) produced by NOx as a precursor in Nanjing to O3 (O3V) produced by VOCs as a precursor was about 7:13; During all polluting periods, the proportion of southeast and northeast winds was 38.0% and 35.9% respectively, when the dominant wind direction is northeast, Nanjing has the highest concentration of non-background O3, and the contribution of upwind to Yangzhou reached 13.6%. When the dominant wind direction is southeast wind, the upwind to Changzhou (7.3%), Zhenjiang (7.0%) and Wuxi (6.5%) contributed more to Nanjing O3. Therefore, Nanjing O3 pollution control should consider the transportation of upwind to cities.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-02-15
  • 最后修改日期:2022-03-20
  • 录用日期:2022-03-28
  • 在线发布日期: 2022-06-06
  • 出版日期:

地址:江苏南京,宁六路219号,南京信息工程大学    邮编:210044

联系电话:025-58731158    E-mail:xbbjb@nuist.edu.cn    QQ交流群号:344646895

大气科学学报 ® 2022 版权所有  技术支持:北京勤云科技发展有限公司