• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于无人机气象探测与数值模型的天津重污染事件

[Heavy Pollution Episode in Tianjin Based on UAV Meteorological Sounding and Numerical Model].

作者信息

Yang Xu, Cai Zi-Ying, Han Su-Qin, Shi Jing, Tang Ying-Xiao, Jiang Ming, Qiu Xiao-Bin

机构信息

Tianjin Environmental Meteorological Center, Tianjin 300074, China.

CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300074, China.

出版信息

Huan Jing Ke Xue. 2021 Jan 8;42(1):9-18. doi: 10.13227/j.hjkx.202007068.

DOI:10.13227/j.hjkx.202007068
PMID:33372452
Abstract

Pollution occurs in the boundary layer, and the thermal and dynamic vertical structure of the boundary layer has a significant influence on the formation of heavy pollution episodes. Based on unmanned aerial vehicle (UAV) sounding, ground-based remote sensing and numerical modeling, this paper analyzes the vertical structure of the boundary layer and the causes of pollution during the heavy pollution episode in Tianjin from January 10 to 15, 2019, with a view to strengthening the understanding of the influence law of boundary layer processes on heavy pollution in northern coastal cities and improving the accuracy of weather forecasts and heavy pollution warnings. The results show that atmospheric temperature stratification had a significant influence on the formation, persistence, and dissipation of heavy pollution episodes. During an episode, accompanied by the development and dissipation of the inversion layer, a high PM concentration area developed to the upper atmosphere with a height of over 300 m in the daytime and compressed to the ground at night with a height about 100 m. When fog appeared and continued in the daytime, the vertical structure characteristics of the boundary layer changed. A temperature inversion above the fog restrained the diffusion of pollutants to the upper air and made the contribution of turbulence vertical mixing process decrease significantly in the daytime, leading to the persistence and development of heavy pollution near the surface. Regional pollution transport accounted for 66.6% during the episode, which was closely related to regional pollution transport. Regional pollution transport mainly appeared at the top of the boundary layer and above the fog inversion layer where high wind speeds occurred. Pollutants were transported to the ground by a sinking motion as the boundary layer and fog height changed. This is how regional pollution transport occurred when Tianjin was controlled by a weak high pressure field in the north. The vertical structure of the boundary layer also affected the improvement of air quality by cold air. The strong temperature inversion at the top of the fog resulted in the failure of the cold air to transmit to the ground through turbulent shear stress in the S3 stage. There was an obvious difference in wind speed between the upper and lower air. The influence of cold air on the ground was delayed, and the effect of it was weakened. Thus, the heavy pollution episode could not be alleviated completely.

摘要

污染发生在边界层,边界层的热力和动力垂直结构对重污染事件的形成有重大影响。基于无人机探测、地基遥感和数值模拟,本文分析了2019年1月10日至15日天津重污染事件期间边界层的垂直结构及污染成因,旨在加强对北方沿海城市边界层过程对重污染影响规律的认识,提高天气预报和重污染预警的准确性。结果表明,大气温度层结对重污染事件的形成、持续和消散有显著影响。在一次事件中,伴随着逆温层的发展和消散,高PM浓度区在白天向上发展至300米以上高空,夜间压缩至地面,高度约100米。当白天出现并持续有雾时,边界层的垂直结构特征发生变化。雾层上方的逆温抑制了污染物向上扩散,使白天湍流垂直混合过程的贡献显著降低,导致近地面重污染持续和发展。该事件期间区域污染传输占66.6%,这与区域污染传输密切相关。区域污染传输主要出现在边界层顶部和雾逆温层上方风速较大的区域。随着边界层和雾层高度变化,污染物通过下沉运动传输至地面。这就是天津受北方弱高压场控制时区域污染传输发生的过程。边界层的垂直结构也影响了冷空气对空气质量的改善。雾顶强烈的温度逆温导致冷空气在S3阶段无法通过湍流切应力传输至地面。上下层空气风速存在明显差异。冷空气对地面的影响延迟,效果减弱。因此,重污染事件无法得到彻底缓解。

相似文献

1
[Heavy Pollution Episode in Tianjin Based on UAV Meteorological Sounding and Numerical Model].基于无人机气象探测与数值模型的天津重污染事件
Huan Jing Ke Xue. 2021 Jan 8;42(1):9-18. doi: 10.13227/j.hjkx.202007068.
2
[Analysis of Characteristics and Causes of a Typical Haze Pollution in Beijing in the Winter of 2019].[2019年冬季北京一次典型雾霾污染的特征与成因分析]
Huan Jing Ke Xue. 2021 May 8;42(5):2121-2132. doi: 10.13227/j.hjkx.202008258.
3
Vertical changes of PM driven by meteorology in the atmospheric boundary layer during a heavy air pollution event in central China.在中国中部一次严重的空气污染事件期间,大气边界层中气象因素驱动的 PM 垂直变化。
Sci Total Environ. 2023 Feb 1;858(Pt 2):159830. doi: 10.1016/j.scitotenv.2022.159830. Epub 2022 Nov 4.
4
Vertical distribution of PM and interactions with the atmospheric boundary layer during the development stage of a heavy haze pollution event.重度霾污染事件发展阶段中 PM 的垂直分布及其与大气边界层的相互作用。
Sci Total Environ. 2020 Feb 20;704:135329. doi: 10.1016/j.scitotenv.2019.135329. Epub 2019 Nov 22.
5
[Transport Characteristics of Air Pollution in Tianjin Based on Weather Background].基于天气背景的天津市空气污染传输特征
Huan Jing Ke Xue. 2020 Nov 8;41(11):4855-4863. doi: 10.13227/j.hjkx.202004252.
6
Process analysis of characteristics of the boundary layer during a heavy haze pollution episode in an inland megacity, China.中国内陆特大城市一次严重雾霾污染事件期间边界层特征的过程分析
J Environ Sci (China). 2016 Feb;40:138-44. doi: 10.1016/j.jes.2015.12.008. Epub 2016 Jan 11.
7
[A Numerical Study of Typical Heavy Air Pollution Episode of PM₂.₅ in Shanghai].[上海一次典型的PM₂.₅重污染过程的数值研究]
Huan Jing Ke Xue. 2016 Mar 15;37(3):825-33.
8
[Characterization of Two Heavy Pollution Episodes in Tianjin in 2020].[2020年天津市两次重污染过程特征分析]
Huan Jing Ke Xue. 2020 Sep 8;41(9):3879-3888. doi: 10.13227/j.hjkx.202003109.
9
[Three-dimensional Structure Variation of PM During Cold Front Advance in Eastern China].[中国东部冷锋推进过程中颗粒物的三维结构变化]
Huan Jing Ke Xue. 2022 Jan 8;43(1):85-92. doi: 10.13227/j.hjkx.202103116.
10
Impacts of meteorological parameters on the occurrence of air pollution episodes in the Sichuan basin.气象参数对四川盆地空气污染事件发生的影响。
J Environ Sci (China). 2022 Apr;114:308-321. doi: 10.1016/j.jes.2021.09.006. Epub 2022 Feb 23.