globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2017.03.050
Scopus记录号: 2-s2.0-85016448767
论文题名:
Estimation of surface-level PM2.5 concentration using aerosol optical thickness through aerosol type analysis method
作者: Chen Q; -X; , Yuan Y; , Huang X; , Jiang Y; -Q; , Tan H; -P
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 159
起始页码: 26
结束页码: 33
语种: 英语
英文关键词: Aerosol optical thickness ; Aerosol type analysis method ; Linear model ; PM2.5 estimation
Scopus关键词: Atmospheric boundary layer ; Atmospheric humidity ; Boundary layer flow ; Boundary layers ; Optical properties ; Aerosol optical thickness ; Aerosol robotic networks ; Aerosol size distributions ; Aerosol types ; Linear modeling ; Lower correlation ; Meteorological parameters ; Particulate Matter ; Aerosols ; AERONET ; aerosol ; atmospheric modeling ; boundary layer ; concentration (composition) ; estimation method ; numerical method ; numerical model ; optical property ; particle size ; particulate matter ; relative humidity ; size distribution ; aerosol ; Article ; China ; humidity ; particle size ; particulate matter ; prediction ; priority journal ; thickness ; Beijing [China] ; China ; Jiangsu ; Xuzhou
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: Surface-level particulate matter is closely related to column aerosol optical thickness (AOT). Previous researches have successfully used column AOT and different meteorological parameters to estimate surface-level PM concentration. In this study, the performance of a selected linear model that estimates surface-level PM2.5 concentration was evaluated following the aerosol type analysis method (ATAM) for the first time. We utilized 443 daily average data for Xuzhou, Jiangsu province, collected using Aerosol Robotic Network (AERONET) during the period October 2013 to April 2016. Several parameters including atmospheric boundary layer height (BLH), relative humidity (RH), and effective radius of the aerosol size distribution (Ref) were used to assess the relationship between the column AOT and PM2.5 concentration. By including the BLH, ambient RH, and effective radius, the correlation (R2) increased from 0.084 to 0.250�at Xuzhou, and with the use of ATAM, the correlation increased further to 0.335. To compare the results, 450 daily average data for Beijing, pertaining to the same period, were utilized. The study found that model correlations improved by varying degrees in different seasons and at different sites following ATAM. The average urban industry (UI) aerosol ratios at Xuzhou and Beijing were 0.792 and 0.451, respectively, demonstrating poorer air conditions at Xuzhou. PM2.5 estimation at Xuzhou showed lower correlation (R2�=�0.335) compared to Beijing (R2�=�0.407), and the increase of R2 at Xuzhou and Beijing site following use of ATAM were 33.8% and 12.4%, respectively. � 2017 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82512
Appears in Collections:气候变化事实与影响

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作者单位: School of Energy Science and Engineering, Harbin Institute of Technology, 92, West Dazhi Street, Harbin, China; MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, 92, West Dazhi Street, Harbin, China

Recommended Citation:
Chen Q,-X,, Yuan Y,et al. Estimation of surface-level PM2.5 concentration using aerosol optical thickness through aerosol type analysis method[J]. Atmospheric Environment,2017-01-01,159
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