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	Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center
	Zhao, Suping1; Yu, Ye1; Yin, Daiying2,3; He, Jianjun4; Liu, Na5; Qu, Jianjun2,3; Xiao, Jianhua2,3
刊名	ENVIRONMENT INTERNATIONAL
	2016
卷号	86页码:92-106
关键词	Annual variation Diurnal variation Air pollution China Cluster analysis
ISSN号	0160-4120
DOI	10.1016/j.envint2015.11.003
通讯作者	Zhao, Suping(zhaosp@lzb.ac.cn)
英文摘要	Long-term air quality data with high temporal and spatial resolutions are needed to understand some important processes affecting the air quality and corresponding environmental and health effects. The annual and diurnal variations of each criteria pollutant including PM2.5 and PM10 (particulate matter with aerodynamic diameter less than 2.5 mu m and 10 pm, respectively), CO (carbon monoxide), NO2 (nitrogen dioxide), SO2 (sulfur dioxide) and O-3 (ozone) in 31 provincial capital cities between April 2014 and March 2015 were investigated by cluster analysis to evaluate current air pollution situations in China, and the cities were classified as severely, moderately, and slightly polluted cities according to the variations. The concentrations of air pollutants in winter months were significantly higher than those in other months with the exception of O-3, and the cities with the highest CO and SO2 concentrations were located in northern China. The annual variation of PM2.5 concentrations in northern cities was bimodal with comparable peaks in October 2014 and January 2015, while that in southern China was unobvious with slightly high PM2.5 concentrations in winter months. The concentrations of particulate matter and trace gases from primary emissions (SO2 and CO) and NO2 were low in the afternoon (similar to 16:00), while diurnal variation of O-3 concentrations was opposite to that of other pollutants with the highest values in the afternoon. The most polluted cities were mainly located in North China Plain, while slightly polluted cities mostly focus on southern China and the cities with high altitude such as Lasa. This study provides a basis for the formulation of future urban air pollution control measures in China. (C) 2015 Elsevier Ltd. All rights reserved.
收录类别	SCI
WOS关键词	PARTICLE NUMBER CONCENTRATIONS ; ATMOSPHERIC BOUNDARY-LAYER ; HAZE-FOG EPISODE ; NORTH CHINA ; AEROSOL CONCENTRATION ; FORMATION MECHANISM ; CHEMICAL-COMPOSITION ; TEMPORAL VARIATIONS ; PM10 CONCENTRATIONS ; BACKGROUND STATION
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000372209000010
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2557379
专题	寒区旱区环境与工程研究所
通讯作者	Zhao, Suping
作者单位	1.Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China 3.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Dunhuang Gobi & Desert Ecol & Environm Res Stn, Lanzhou 730000, Peoples R China 4.Nankai Univ, Coll Environm Sci & Engn, Tianjin 300071, Peoples R China 5.Qinghai Prov Meteorol Bur, Weather Modificat Off, Xining 810001, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Suping,Yu, Ye,Yin, Daiying,et al. Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center[J]. ENVIRONMENT INTERNATIONAL,2016,86:92-106.
APA	Zhao, Suping.,Yu, Ye.,Yin, Daiying.,He, Jianjun.,Liu, Na.,...&Xiao, Jianhua.(2016).Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center.ENVIRONMENT INTERNATIONAL,86,92-106.
MLA	Zhao, Suping,et al."Annual and diurnal variations of gaseous and particulate pollutants in 31 provincial capital cities based on in situ air quality monitoring data from China National Environmental Monitoring Center".ENVIRONMENT INTERNATIONAL 86(2016):92-106.

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