IGSNRR OpenIR
Spatiotemporal variation of PM1 pollution in China
Chen, Gongbo1; Morawska, Lidia2; Zhang, Wenyi3; Li, Shanshan1; Cao, Wei4; Ren, Hongyan4; Wang, Boguang5; Wang, Hao5,6; Knibbs, Luke D.7; Williams, Gail7; Guo, Jianping8; Guo, Yuming1,5
2018-04-01
Source PublicationATMOSPHERIC ENVIRONMENT
ISSN1352-2310
Volume178Pages:198-205
Corresponding AuthorGuo, Jianping(jpguocams@gmail.com) ; Guo, Yuming(yuming.guo@monash.edu)
AbstractUnderstanding 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.
KeywordPM1 PM2.5 PM1/PM2.5 ratio Meteorological conditions China
DOI10.1016/j.atmosenv.2018.01.053
WOS KeywordCRITERIA AIR-POLLUTANTS ; CHEMICAL CHARACTERISTICS ; PARTICULATE POLLUTION ; AEROSOL CONTRIBUTION ; TEMPORAL VARIATIONS ; ENERGY-CONSUMPTION ; DAILY MORTALITY ; FINE PARTICLES ; RIVER DELTA ; PM2.5
Indexed BySCI
Language英语
Funding ProjectAustralian 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]
Funding OrganizationAustralian 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
WOS Research AreaEnvironmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS SubjectEnvironmental Sciences ; Meteorology & Atmospheric Sciences
WOS IDWOS:000428104200022
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57305
Collection中国科学院地理科学与资源研究所
Corresponding AuthorGuo, Jianping; Guo, Yuming
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen, Gongbo]'s Articles
[Morawska, Lidia]'s Articles
[Zhang, Wenyi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen, Gongbo]'s Articles
[Morawska, Lidia]'s Articles
[Zhang, Wenyi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen, Gongbo]'s Articles
[Morawska, Lidia]'s Articles
[Zhang, Wenyi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.