Using Lidar technology to assess regional air pollution and improve estimates of PM2.5 transport in the North China Plain

doi:10.1088/1748-9326/ab9cfd

	Using Lidar technology to assess regional air pollution and improve estimates of PM2.5 transport in the North China Plain
	Xiang,Yan 2,3,4; Lv,Lihui 2,3; Chai,Wenxuan 1; Zhang,Tianshu 2,3; Liu,Jianguo 3; Liu,Wenqing 2,3
刊名	Environmental Research Letters
	2020-08-27
卷号	15
关键词	aerosols regional transport lidar WRF-Chem, GSI data assimilation
DOI	10.1088/1748-9326/ab9cfd
通讯作者	Xiang,Yan()
英文摘要	AbstractAir pollutants seriously impact climate change and human health. In this study, the gridpoint statistical interpolation (GSI) three-dimensional variational data assimilation system was extended from ground data to vertical profile data, which reduced the simulation error of the model in the vertical layer. The coupled GSI-Lidar-WRF-Chem system was used to improve the accuracy of fine particulate matter (PM2.5) simulation during a wintertime heavy pollution event in the North China Plain in late November 2017. In this experiment, two vehicle-mounted Lidar instruments were utilized to make synchronous observations around the 6th Ring Road of Beijing, and five ground-based Lidars were used for long-term network observations on the North China Plain. Data assimilation was then performed using the PM2.5 vertical profile retrieved from the seven Lidars. Compared with the model results, the correlation of assimilation increased from 0.74–0.86, and the root-mean-square error decreased by 36.6%. Meanwhile, the transport flux and transport flux intensity of the PM2.5 were analyzed, which revealed that the PM2.5 around the 6th Ring Road of Beijing was mainly concentrated below 1.8 km, and there were obvious double layers of particles. Particulates in the southwest were mainly input, while those in the northeast were mainly output. Both the input and output heights were around 1 km, although the input intensity was higher than the output intensity. The GSI-Lidar-WRF-Chem system has great potential for air quality simulation and forecasting.
语种	英语
出版者	IOP Publishing
WOS记录号	IOP:1748-9326-15-9-AB9CFD
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/104991]
专题	中国科学院合肥物质科学研究院
通讯作者	Xiang,Yan
作者单位	1.Air Monitoring Department, China National Environmental Monitoring Center, Beijing 100012, People’s Republic of China 2.Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, People’s Republic of China 3.Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, People’s Republic of China 4.Author to whom any correspondence should be addressed.
推荐引用方式 GB/T 7714	Xiang,Yan,Lv,Lihui,Chai,Wenxuan,et al. Using Lidar technology to assess regional air pollution and improve estimates of PM2.5 transport in the North China Plain[J]. Environmental Research Letters,2020,15.
APA	Xiang,Yan,Lv,Lihui,Chai,Wenxuan,Zhang,Tianshu,Liu,Jianguo,&Liu,Wenqing.(2020).Using Lidar technology to assess regional air pollution and improve estimates of PM2.5 transport in the North China Plain.Environmental Research Letters,15.
MLA	Xiang,Yan,et al."Using Lidar technology to assess regional air pollution and improve estimates of PM2.5 transport in the North China Plain".Environmental Research Letters 15(2020).