气候变化领域集成服务门户(CCPortal): Characterizing vertical distribution patterns of PM2.5 in low troposphere of Shanghai city, China: Implications from the perspective of unmanned aerial vehicle observations

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DOI	10.1016/j.atmosenv.2021.118724
	Characterizing vertical distribution patterns of PM2.5 in low troposphere of Shanghai city, China: Implications from the perspective of unmanned aerial vehicle observations
	Song R.-F.; Wang D.-S.; Li X.-B.; Li B.; Peng Z.-R.; He H.-D.
发表日期	2021
ISSN	1352-2310
卷号	265
英文摘要	The vertical distribution patterns of PM2.5 (particulate matters with diameters ≤2.5 μm) are crucial for understanding the aggregation, dispersion, and regional transport of PM2.5. However, due to the measurement limitation, the vertical observational data o is difficult to be obtained and is relatively insufficient at present stage. With this consideration, two electric-fueled rotary-wing unmanned aerial vehicles (UAVs) are used in this study to reveal the vertical distribution of PM2.5 in Shanghai of China. Totally 53 vertical profiles of PM2.5 concentration and meteorological factors are collected to reveal the vertical distribution pattern of PM2.5. The results indicate that PM2.5 vertical concentration, especially the maximum of the PM2.5 vertical concentration, shows a good correlation with surface PM2.5 concentration, which means it is possible to use surface PM2.5 concentration to extrapolate PM2.5 vertical concentration. In terms of meteorological factors, low wind speed and northerly (or northwesterly) wind direction significantly contribute to the accumulation of high concentration PM2.5 in Shanghai during the winter. Furthermore, the low height of the planetary boundary layer (PBL) facilitates the accumulation of pollutants near the ground, but it is not imperative for the vertically high concentration of PM2.5, since vertically high PM2.5 concentration exists within high PBL as well. It has been concluded that low PBL height is not mandatory for well vertical mixing within it, for the vertically even distribution of PM2.5 occurred under both low and high PBL. In terms of the effect the temperature, although temperature makes a significant contribution to the inverse distribution of PM2.5, no significant linear correlation was found between temperature and PM2.5 vertical distribution. The findings in this study could help to understand the vertical distribution patterns of PM2.5 during the winter, and provide more evidence of how other factors impact these patterns. © 2021 Elsevier Ltd
关键词	Planetary boundary layer PM2.5 Rotary-wing UAV Vertical profile
语种	英语
scopus关键词	Antennas; Boundary layer flow; Boundary layers; Wind; Distribution patterns; Lower troposphere; Meteorological factors; Particulate Matter; Particulate matter with diameter ≤2.5 μm; Planetary boundary layers; Rotary wing; Rotary-wing unmanned aerial vehicle; Vertical distributions; Vertical profile; Unmanned aerial vehicles (UAV); boundary layer; observational method; particulate matter; seasonal variation; spatiotemporal analysis; stratosphere-troposphere interaction; troposphere; unmanned vehicle; vertical distribution; wind direction; article; boundary layer; China; particulate matter 2.5; temperature sensitivity; troposphere; unmanned aerial vehicle; wind speed; wing; winter; China; Shanghai
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/248215
作者单位	Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute for Environmental and Climate Research, Jinan University, Guangzhou, 510632, China; International Center for Adaptation Planning and Design, College of Design, Construction and Planning, University of Florida, PO Box 115706, Gainesville, FL 32611-5706, United States
推荐引用方式 GB/T 7714	Song R.-F.,Wang D.-S.,Li X.-B.,et al. Characterizing vertical distribution patterns of PM2.5 in low troposphere of Shanghai city, China: Implications from the perspective of unmanned aerial vehicle observations[J],2021,265.
APA	Song R.-F.,Wang D.-S.,Li X.-B.,Li B.,Peng Z.-R.,&He H.-D..(2021).Characterizing vertical distribution patterns of PM2.5 in low troposphere of Shanghai city, China: Implications from the perspective of unmanned aerial vehicle observations.ATMOSPHERIC ENVIRONMENT,265.
MLA	Song R.-F.,et al."Characterizing vertical distribution patterns of PM2.5 in low troposphere of Shanghai city, China: Implications from the perspective of unmanned aerial vehicle observations".ATMOSPHERIC ENVIRONMENT 265(2021).