DOI: 10.1016/j.atmosenv.2014.04.048
Scopus记录号: 2-s2.0-84901046102
论文题名: The heaviest particulate air-pollution episodes occurred in northern China in January, 2013: Insights gained from observation
作者: Ji D ; , Li L ; , Wang Y ; , Zhang J ; , Cheng M ; , Sun Y ; , Liu Z ; , Wang L ; , Tang G ; , Hu B ; , Chao N ; , Wen T ; , Miao H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 92 起始页码: 546
结束页码: 556
语种: 英语
英文关键词: Air pollution episodes
; EC
; Nitrate
; Northern China
; OC
; Sulfate
Scopus关键词: Aerodynamics
; Air pollution
; Nitrates
; Sulfur dioxide
; Air pollution episodes
; EC
; Northern China
; OC
; Sulfate
; Air pollution control
; ammonia
; carbon
; nitrate
; organic carbon
; sulfate
; aerosol composition
; aerosol formation
; air quality
; atmospheric chemistry
; atmospheric pollution
; atmospheric transport
; coagulation
; emission control
; haze
; nitrate
; organic carbon
; oxidation
; particle size
; particulate matter
; pollution incidence
; sulfate
; air pollution
; air quality
; article
; chemical composition
; China
; environmental monitoring
; haze
; oxidation
; particle size
; particulate matter
; phase transition
; priority journal
; Beijing [China]
; 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: A comprehensive measurement was conducted to analyze the heaviest air pollution episodes, which occurred in January 2013 with the focus on particulate characterization and haze. Based on observation, five heavy pollution episodes were recorded, whose frequencies are far greater than in other years. Among the heavy pollution episodes, two distinct severe regional PM2.5 (particulate matter (PM) with an aerodynamic diameter ≤2.5μm) pollution episodes were selected for investigation. One episode is characterized by an explosive growth in PM2.5 concentrations within several hours, which is mainly caused by the high local emission under stagnant conditions; the other episode is characterized by four-day consecutive increases in PM2.5 concentrations, which is largely attributed to a combination of slow regional transport and local accumulation. The PM compositions and concentrations including PM2.5, PM1 (PM with an aerodynamic diameter ≤1μm), nitrate, sulfate, ammonium, organic carbon (OC) and elemental carbon (EC) as well as main gaseous precursor concentrations are analyzed in Beijing during the two episodes. Rapid gas-to-particle conversion, coagulation and collision of particles are discussed under high emission and stagnant weather conditions. High sulfur and nitrogen oxidation ratios were found, suggesting that additional production of sulfate and nitrate occurred during the pollution episodes. In addition, high levels of secondary particles were transported from surrounding regions via vertical mixing and horizontal transport during the polluted days. Notably, the stationary source is still a major contributor to the pollution episodes. Clear evidence is presented indicating that the secondary formation of particulate was one important mechanism in the formation of the heavy pollution episodes. To control the air pollution effectively, more stringent restriction measures on the SO2 and NOx emissions should be strictly executed at the regional scale. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81241
Appears in Collections: 气候变化事实与影响
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作者单位: State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; China National Environmental Monitoring Center, China; Sub-Center of Atmospheric Sciences, Chinese Ecosystem Rsesarch Network, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Ji D,, Li L,, Wang Y,et al. The heaviest particulate air-pollution episodes occurred in northern China in January, 2013: Insights gained from observation[J]. Atmospheric Environment,2014-01-01,92