DOI: 10.1016/j.atmosenv.2017.11.009
Scopus记录号: 2-s2.0-85033373386
论文题名: Investigating vertical distribution patterns of lower tropospheric PM2.5 using unmanned aerial vehicle measurements
作者: Li X ; -B ; , Wang D ; -S ; , Lu Q ; -C ; , Peng Z ; -R ; , Wang Z ; -Y
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2018
卷: 173 起始页码: 62
结束页码: 71
语种: 英语
英文关键词: Aerosol particles
; Drone
; Regional transport
; Vertical profiling
; Yangtze river delta
Scopus关键词: Aerosols
; Atmospheric thermodynamics
; Boundary layers
; Carbon
; Drones
; Fossil fuels
; Fuels
; River pollution
; Troposphere
; Aerosol particles
; Backward trajectory analysis
; Environmental Monitoring
; Lightweight unmanned aerial vehicles
; Planetary boundary layers
; Regional transport
; Vertical profiling
; Yangtze river delta
; Unmanned aerial vehicles (UAV)
; black carbon
; fossil fuel
; aerial survey
; aerosol
; black carbon
; concentration (composition)
; environmental monitoring
; ground-based measurement
; long range transport
; measurement method
; monsoon
; particulate matter
; pollutant source
; sensor
; troposphere
; unmanned vehicle
; vertical distribution
; aerosol
; air analysis
; Article
; autumn
; circadian rhythm
; combustion
; environmental monitoring
; haze
; particulate matter
; pollution
; priority journal
; river
; seasonal variation
; spring
; summer
; troposphere
; winter
; China
; China
; Yangtze Basin
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: A lightweight unmanned aerial vehicle (UAV) was outfitted with miniaturized sensors to investigate the vertical distribution patterns and sources of fine aerosol particles (PM2.5) within the 1 000 m lower troposphere. A total of 16 UAV flights were conducted in the Yangtze River Delta (YRD) region, China, from the summer to winter in 2014. The associated ground-level measurements from two environmental monitoring stations were also used for background analysis. The results show that ground-level PM2.5 concentrations demonstrated a decreasing trend from Feb. to Jul. and an increasing trend from Aug. to Jan. (the following year). Higher PM2.5 concentrations during the day were mainly observed in the morning (Local Time, LT 05-09) in the spring and summer. However, higher PM2.5 concentrations occurred mainly in the late afternoon and evening (LT 16-20) in the autumn and winter, excluding severe haze pollution days when higher PM2.5 concentrations were also observed during the morning periods. Lower tropospheric PM2.5 concentrations exhibited similar diurnal vertical distribution patterns from the summer to winter. The PM2.5 concentrations decreased with height in the morning, with significantly large vertical gradients from the summer to winter. By contrast, the aerosol particles were well mixed with PM2.5 concentrations of lower than 35 μg⋅m−3 in the early afternoon (LT 12-16) due to sufficient expansions of the planetary boundary layer. The mean vertical PM2.5 concentrations within the 1 000 m lower troposphere in the morning were much larger in the winter (∼87.5 μg⋅m−3) than in the summer and autumn (∼20 μg⋅m−3). However, subtle differences of ∼11 μg⋅m−3 in the mean vertical PM2.5 concentrations were observed in the early afternoon from the summer to winter. The vertical distribution patterns of black carbon and its relationships with PM2.5 indicated that the lower tropospheric aerosol particles might be mainly derived from fossil-fuel combustion sources. In addition, a 48-h backward trajectory analysis of air parcels showed that the lower tropospheric aerosol particles were mainly from emissions of local sources in the YRD region in the summer and autumn. By sharp contrast, the aerosol particles of this region in the winter were mainly of long-range transport sources from the north and northwest China due to the impact of Asian winter monsoon. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/83112
Appears in Collections: 气候变化事实与影响
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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, China; China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, China; Department of Urban and Regional Planning, University of Florida, PO Box 115706, Gainesville, FL, United States; School of Engineering, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Intelligent Transportation System, Guangzhou, China
Recommended Citation:
Li X,-B,, Wang D,et al. Investigating vertical distribution patterns of lower tropospheric PM2.5 using unmanned aerial vehicle measurements[J]. Atmospheric Environment,2018-01-01,173