DOI: 10.1016/j.atmosenv.2017.06.022
Scopus记录号: 2-s2.0-85020897497
论文题名: Observations of particle extinction, PM2.5 mass concentration profile and flux in north China based on mobile lidar technique
作者: Lv L ; , Liu W ; , Zhang T ; , Chen Z ; , Dong Y ; , Fan G ; , Xiang Y ; , Yao Y ; , Yang N ; , Chu B ; , Teng M ; , Shu X
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 164 起始页码: 360
结束页码: 369
语种: 英语
英文关键词: Fine particle
; Flux
; PM2.5 profile
; Vehicle-based mobile lidar
Scopus关键词: Fluxes
; Optical radar
; Vehicles
; Weather forecasting
; Chinese Academy of Sciences
; Fine particles
; Mesoscale meteorological model
; Mobile lidar
; Particle extinction coefficient
; Planetary boundary layers
; Spatial and temporal distribution
; Weather research and forecasting models
; Particles (particulate matter)
; atmospheric modeling
; atmospheric transport
; concentration (composition)
; correlation
; extinction coefficient
; flux measurement
; humidity
; lidar
; monitoring
; monitoring system
; particle size
; particulate matter
; sampling
; vertical profile
; weather forecasting
; wind direction
; wind velocity
; air pollution
; air sampler
; Article
; boundary layer
; China
; humidity
; mass
; measurement
; meteorology
; motor vehicle
; particulate matter
; priority journal
; velocity
; wind
; China
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: Fine particle with diameter <2.5 μm (PM2.5) have important direct and indirect effects on human life and activities. However, the studies of fine particle were limited by the lack of monitoring data obtained with multiple fixed site sampling strategies. Mobile monitoring has provided a means for broad measurement of fine particles. In this research, the potential use of mobile lidar to map the distribution and transport of fine particles was discussed. The spatial and temporal distributions of particle extinction, PM2.5 mass concentration and regional transport flux of fine particle in the planetary boundary layer were investigated with the use of vehicle-based mobile lidar and wind field data from north China. Case studies under different pollution levels in Beijing were presented to evaluate the contribution of regional transport. A vehicle-based mobile lidar system was used to obtain the spatial and temporal distributions of particle extinction in the measurement route. Fixed point lidar and a particulate matter sampler were operated next to each other at the University of Chinese Academy of Science (UCAS) in Beijing to determine the relationship between the particle extinction coefficient and PM2.5 mass concentration. The correlation coefficient (R2) between the particle extinction coefficient and PM2.5 mass concentration was found to be over 0.8 when relative humidity (RH) was less than 90%. A mesoscale meteorological model, the Weather Research and Forecasting (WRF) model, was used to obtain profiles of the horizontal wind speed, wind direction and relative humidity. A vehicle-based mobile lidar technique was applied to estimate transport flux based on the PM2.5 profile and vertical profile of wind data. This method was applicable when hygroscopic growth can be neglected (relatively humidity<90%). Southwest was found to be the main pathway of Beijing during the experiments. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82789
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui, China; University of Science and Technology of China, Hefei, Anhui, China; State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring Center, Beijing, China; Army Air Force Military Representative's Office in Beijing, Beijing, China
Recommended Citation:
Lv L,, Liu W,, Zhang T,et al. Observations of particle extinction, PM2.5 mass concentration profile and flux in north China based on mobile lidar technique[J]. Atmospheric Environment,2017-01-01,164