气候变化领域集成服务门户(CCPortal): A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars

CCPortal

DOI	10.1016/j.atmosenv.2020.117585
	A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars
	Lv L.; Xiang Y.; Zhang T.; Chai W.; Liu W.
发表日期	2020
ISSN	1352-2310
卷号	233
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. © 2020 Elsevier Ltd
关键词	Aerosol particle Mobile vehicle-based lidar Regional transport Synergistic observation approach
语种	英语
scopus关键词	Aerosols; Air quality; Boundary layer flow; Boundary layers; Optical radar; Quality control; Spatial distribution; Vehicles; Aerosol optical depths; Air pollution in chinas; Boundary layer heights; Complex characteristics; Comprehensive analysis; Data quality control; Distribution characteristics; Transport characteristics; Pollution detection; aerosol; air quality; article; boundary layer; China; data quality; optical depth
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/249116
作者单位	Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China; Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China; China National Environmental Monitoring Centre, Beijing, 100012, China
推荐引用方式 GB/T 7714	Lv L.,Xiang Y.,Zhang T.,et al. A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars[J],2020,233.
APA	Lv L.,Xiang Y.,Zhang T.,Chai W.,&Liu W..(2020).A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars.ATMOSPHERIC ENVIRONMENT,233.
MLA	Lv L.,et al."A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars".ATMOSPHERIC ENVIRONMENT 233(2020).