DOI: 10.1016/j.atmosenv.2015.06.054
Scopus记录号: 2-s2.0-84949565740
论文题名: Source apportionment of PM2.5 in Guangzhou combining observation data analysis and chemical transport model simulation
作者: Cui H ; , Chen W ; , Dai W ; , Liu H ; , Wang X ; , He K
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 116 起始页码: 262
结束页码: 271
语种: 英语
英文关键词: Observation data analysis
; PM2.5
; Source apportionment
; WRF/Chem modeling
Scopus关键词: Data handling
; Drought
; Industrial emissions
; Information analysis
; Pollution
; Sulfur dioxide
; Urban growth
; Anthropogenic emissions
; Chemical transport models
; Contribution ratios
; Observation data
; Primary pollutants
; Source apportionment
; Stationary sources
; WRF/Chem
; Chemical analysis
; anthropogenic source
; chemical method
; emission
; particulate matter
; pollutant source
; pollutant transport
; air monitoring
; air pollutant
; air pollution
; air pollution control
; air quality control
; Article
; China
; data analysis
; environmental planning
; particulate matter
; priority journal
; seasonal variation
; simulation
; China
; Guangdong
; Guangzhou
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 hybrid method combining observation data analysis and chemical transport model simulation was used in this study to provide the PM2.5 source apportionment result of Guangzhou. Four main anthropogenic emission sectors in PRD region were taken into consideration, including mobile, power, industrial and residential. The proportions (Ps) of six major components (sulfate, nitrate, ammonium, SOA, POA and EC) in PM2.5 were acquired by analyzing the daily PM2.5 monitoring data collected in the year of 2013 at an urban sampling site in Guangzhou. WRF/Chem model was used to get the contribution ratios (CRs) of each emission sector to the concentrations of six related primary pollutants, including SO2, NOX, NH3, VOCs, POA and EC. Then the CRs of the four sources to Guangzhou's PM2.5 mass were calculated. It was found that stationary sources (industrial and power) still had the largest contribution (22.2% in dry season, 44.4% in wet season) to PM2.5 in Guangzhou. Mobile sector was the predominant single contributor, with an average contribution of 20.7% in dry season and 37.4% in wet season. Almost all the PM2.5 concentration in Guangzhou was caused by the emissions within PRD region in wet season. In dry season, however, the emissions emitted within PRD region and the pollutants transported from the areas north of PRD region both played important roles. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81324
Appears in Collections: 气候变化事实与影响
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作者单位: Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China; School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China; School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), Tsinghua University, Beijing, China
Recommended Citation:
Cui H,, Chen W,, Dai W,et al. Source apportionment of PM2.5 in Guangzhou combining observation data analysis and chemical transport model simulation[J]. Atmospheric Environment,2015-01-01,116