Spatiotemporal variation of PM1 pollution in China

doi:10.1016/j.atmosenv.2018.01.053

	Spatiotemporal variation of PM1 pollution in China
	Chen, Gongbo 1; Morawska, Lidia 2; Zhang, Wenyi 3; Li, Shanshan 1; Cao, Wei 4; Ren, Hongyan 4; Wang, Boguang 5; Wang, Hao 5,6; Knibbs, Luke D.7; Williams, Gail 7
刊名	ATMOSPHERIC ENVIRONMENT
	2018-04-01
卷号	178 页码:198-205
关键词	PM1 PM2.5 PM1/PM2.5 ratio Meteorological conditions China
ISSN号	1352-2310
DOI	10.1016/j.atmosenv.2018.01.053
通讯作者	Guo, Jianping(jpguocams@gmail.com) ; Guo, Yuming(yuming.guo@monash.edu)
英文摘要	Understanding spatiotemporal variation of PM1 (mass concentrations of particles with aerodynamic diameter < 1 mu m) is important due to its adverse effects on health, which is potentially more severe for its deeper penetrating capability into human bodies compared with larger particles. This study aimed to quantify the spatial and temporal distribution of PM1 across China as well as its ratio with PM2.5 (< 2.5 mu m) and relationships with meteorological parameters in order to deepen our knowledge of the drivers of air pollution in China. Ground-based monitoring PM1 and PM2.5 measurements, along with collocated meteorological data, were obtained from 96 stations in China for the period from November 2013 to December 2014. Generalized additive models were employed to examine the relationships between PM1 and meteorological parameters. We showed that PM1 concentrations were the lowest in summer and the highest in winter. Across China, the PM1/PM2.5 ratios ranged from 0.75-0.88, reaching higher levels in January and lower in August. For spatial distribution, higher PM1/PM2.5 ratios (> 0.9) were observed in North-Eastern China, North China Plain, coastal areas of Eastern China and Sichuan Basin while lower ratios (< 0.7) were present in remote areas in North-Western and Northern China (e.g., Xinjiang, Tibet and Inner Mongolia). Higher PM1/PM2.5 ratios were observed on heavily polluted days and lower ratios on clean days. The high PM1/PM2.5 ratios observed in China suggest that smaller particles, PM1 fraction, are key drivers of air pollution, and that they effectively account for the majority of PM2.5 concentrations. This emphasised the role of combustion process and secondary particle formation, the sources of PM1, and the significance of controlling them. Smaller particles, PM1 fraction, are key drivers of air pollution in China accounting for the majority of PM2.5 concentrations.
资助项目	Australian National Health and Medical Research Council[APP1107107] ; Australian National Health and Medical Research Council[APP1109193] ; China Scholarship Council (CSC) ; Ministry of Science and Technology of China[2017YFC1501401] ; National Natural Science Foundation of China[41771399] ; NHMRC Centre of Research Excellence-Centre for Air Quality and Health Research and Evaluation[APP1030259]
WOS关键词	CRITERIA AIR-POLLUTANTS ; CHEMICAL CHARACTERISTICS ; PARTICULATE POLLUTION ; AEROSOL CONTRIBUTION ; TEMPORAL VARIATIONS ; ENERGY-CONSUMPTION ; DAILY MORTALITY ; FINE PARTICLES ; RIVER DELTA ; PM2.5
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000428104200022
资助机构	Australian National Health and Medical Research Council ; China Scholarship Council (CSC) ; Ministry of Science and Technology of China ; National Natural Science Foundation of China ; NHMRC Centre of Research Excellence-Centre for Air Quality and Health Research and Evaluation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/57304]
专题	中国科学院地理科学与资源研究所
通讯作者	Guo, Jianping; Guo, Yuming
作者单位	1.Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Level 2,553 St Kilda Rd, Melbourne, Vic 3004, Australia 2.Queensland Univ Technol, Int Lab Air Qual & Hlth, Brisbane, Qld, Australia 3.Inst Dis Control & Prevent PLA, Ctr Dis Surveillance & Res, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 5.Jinan Univ, Inst Environm & Climate Res, Guangzhou, Guangdong, Peoples R China 6.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Air Qual Studies, Hong Kong, Hong Kong, Peoples R China 7.Univ Queensland, Sch Publ Hlth, Dept Epidemiol & Biostat, Brisbane, Qld, Australia 8.Chinese Acad Meteorol Sci, Sate Key Lab Severe Weather, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Chen, Gongbo,Morawska, Lidia,Zhang, Wenyi,et al. Spatiotemporal variation of PM1 pollution in China[J]. ATMOSPHERIC ENVIRONMENT,2018,178:198-205.
APA	Chen, Gongbo.,Morawska, Lidia.,Zhang, Wenyi.,Li, Shanshan.,Cao, Wei.,...&Guo, Yuming.(2018).Spatiotemporal variation of PM1 pollution in China.ATMOSPHERIC ENVIRONMENT,178,198-205.
MLA	Chen, Gongbo,et al."Spatiotemporal variation of PM1 pollution in China".ATMOSPHERIC ENVIRONMENT 178(2018):198-205.