globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2020.117585
论文题名:
A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars
作者: Lv L.; Xiang Y.; Zhang T.; Chai W.; Liu W.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 233
语种: 英语
英文关键词: 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
学科: Aerosol particle ; Mobile vehicle-based lidar ; Regional transport ; Synergistic observation approach
中文摘要: 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
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160734
Appears in Collections:气候变化与战略

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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

Recommended Citation:
Lv L.,Xiang Y.,Zhang T.,et al. A synergistic approach for regional particle pollution tracking using multiple mobile vehicle-based lidars[J]. Atmospheric Environment,2020-01-01,233
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