Using Lidar technology to assess regional air pollution and improve estimates of PM(2.5)transport in the North China Plain

doi:10.1088/1748-9326/ab9cfd

	Using Lidar technology to assess regional air pollution and improve estimates of PM(2.5)transport in the North China Plain
	Xiang, Yan 1,2; Lv, Lihui 1,2; Chai, Wenxuan 3; Zhang, Tianshu 1,2; Liu, Jianguo 1; Liu, Wenqing 1,2
刊名	ENVIRONMENTAL RESEARCH LETTERS
	2020-09-01
卷号	15
关键词	aerosols regional transport lidar WRF-Chem GSI data assimilation
ISSN号	1748-9326
DOI	10.1088/1748-9326/ab9cfd
通讯作者	Xiang, Yan(yxiang@ahu.edu.cn)
英文摘要	Air 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 PM(2.5)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 PM(2.5)were analyzed, which revealed that the PM(2.5)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.
资助项目	Natural Science Foundation of Anhui Province, China[1908085QD160] ; Natural Science Foundation of Anhui Province, China[1908085QD170] ; National Research Program for Key Issues in Air Pollution Control[DQGG0102] ; National Natural Science Foundation of China[41941011] ; National Key Project of MOST[2017YFC0213002] ; National Key Project of MOST[2018YFC0213101] ; National Key Project of MOST[2016YFC0200401] ; Doctoral Scientific Research Foundation of Anhui University[Y040418190]
WOS关键词	PM2.5 MASS CONCENTRATION ; HEALTH IMPACTS ; VERTICAL-DISTRIBUTION ; DATA ASSIMILATION ; AEROSOL ; QUALITY ; SIMULATION ; RESOLUTION ; MODEL ; RETRIEVALS
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	IOP PUBLISHING LTD
WOS记录号	WOS:000567918900001
资助机构	Natural Science Foundation of Anhui Province, China ; National Research Program for Key Issues in Air Pollution Control ; National Natural Science Foundation of China ; National Key Project of MOST ; Doctoral Scientific Research Foundation of Anhui University
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/104045]
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.Anhui Univ, Inst Phys Sci & Informat Technol, Hefei 230601, Peoples R China 2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China 3.China Natl Environm Monitoring Ctr, Air Monitoring Dept, Beijing 100012, Peoples R China
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 PM(2.5)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 PM(2.5)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 PM(2.5)transport in the North China Plain".ENVIRONMENTAL RESEARCH LETTERS 15(2020).