A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars

doi:10.1016/j.atmosenv.2020.117585

	A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars
	Lv, Lihui 2,3; Xiang, Yan 2,3; Zhang, Tianshu 2,3,4; Chai, Wenxuan 1; Liu, Wenqing 2,3,4
刊名	ATMOSPHERIC ENVIRONMENT
	2020-07-15
卷号	233
关键词	Mobile vehicle-based lidar Synergistic observation approach Aerosol particle Regional transport
ISSN号	1352-2310
DOI	10.1016/j.atmosenv.2020.117585
通讯作者	Lv, Lihui(lhlv@aiofm.ac.cn) ; Zhang, Tianshu(tszhang@aiofm.ac.cn)
英文摘要	The air pollution in China has presented remarkable regional and complex characteristics, and particle explosive growth events happened frequently. In view of the domestic situation, a new synergistic approach, which could detect particle pollution over large area rapidly, is urgently needed. A rapid detection approach based on multiple mobile vehicle-based lidar systems is proposed to meet the needs of regional particle pollution observation in this paper. Take the Jing-Jin-Ji (the abbreviation of Beijing-Tianjin-Hebei) area for example, the methodology and practice of the rapid synergistic approaches with three sets of mobile vehicle-based lidars are presented. On the premise of synergistic observation scheme design and data quality control, we conducted a synergistic observation of aerosol in Jing-Jin-Ji area on 4 November 2017. Then the spatial distribution and transport characteristics of particle pollution in this area are discussed. The synergistic observation results show that high aerosol extinction was observed on the southwest pathway in this case. Furthermore, the spatial distribution characteristics of aerosol optical depth and boundary layer height were analyzed in this study. The comprehensive analysis of synergistic observation results, backward trajectories, and near-surface concentration of PM2.5 based on in situ instrument further illustrated the transport from the southwest pathway strongly affects air quality. The synergistic approach based on multiple mobile vehicle-based lidars provides an effective approach on regional pollution tracking and characterizing within hours.
资助项目	Natural Science Foundation of Anhui Province[1908085QD170] ; Natural Science Foundation of Anhui Province[1908085QD160] ; Doctoral Scientific Research Foundation of Anhui University[Y040418191] ; Key Laboratory of Environmental Optics and Technology, Chinese Academy of Sciences[K130462001] ; National Key Project of MOST[2018YFC0213002] ; National Key Project of MOST[2017YFC0213101] ; National Key Project of MOST[2016YFC0200401]
WOS关键词	AIR-POLLUTION ; HAZE EPISODE ; TRANSPORT ; CHINA ; AEROSOLS ; TIANJIN ; SYSTEM ; IMPACT ; CITIES ; PARIS
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000539152300013
资助机构	Natural Science Foundation of Anhui Province ; Doctoral Scientific Research Foundation of Anhui University ; Key Laboratory of Environmental Optics and Technology, Chinese Academy of Sciences ; National Key Project of MOST
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/102999]
专题	中国科学院合肥物质科学研究院
通讯作者	Lv, Lihui; Zhang, Tianshu
作者单位	1.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China 2.Anhui Univ, Inst Phys Sci, Hefei 230601, Peoples R China 3.Anhui Univ, Inst Informat Technol, Hefei 230601, Peoples R China 4.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Lv, Lihui,Xiang, Yan,Zhang, Tianshu,et al. A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars[J]. ATMOSPHERIC ENVIRONMENT,2020,233.
APA	Lv, Lihui,Xiang, Yan,Zhang, Tianshu,Chai, Wenxuan,&Liu, Wenqing.(2020).A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars.ATMOSPHERIC ENVIRONMENT,233.
MLA	Lv, Lihui,et al."A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars".ATMOSPHERIC ENVIRONMENT 233(2020).