Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong

doi:10.1016/j.atmosenv.2019.116999

CORC > 地球环境研究所 > 中国科学院地球环境研究所 > 粉尘与环境研究室

	Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong
	Chen, Xiao-Cui 4; Ward, Tony J.1; Cao, Jun-Ji 6,7; Lee, Shun-Cheng 8; Lau, Ngar-Cheung 2,4; Yim, Steve H. L.2,4; Ho, Kin-Fai 3,4,5,7
刊名	ATMOSPHERIC ENVIRONMENT
	2019-12-01
卷号	218 页码:14
关键词	Personal fine particles exposure Ambient air pollution Positive matrix factorization Principal component analysis/absolute principal component scores Mixed-effects model
ISSN号	1352-2310
DOI	10.1016/j.atmosenv.2019.116999
通讯作者	Ho, Kin-Fai(kfho@cuhk.edu.hk)
英文摘要	Epidemiological studies provide evidence of the harmful effects of source-specific fine particulate matter (PM2.5) on human health. Studies regarding relative contributions of multiple sources to personal exposure are limited and inconsistent. Personal exposure monitoring for PM2.5 was conducted in 48 adult subjects (ages 18-63 years) in Hong Kong between June 2014 and March 2015. We identified seven sources of personal PM2.5 exposure using Positive Matrix Factorization (PMF). These sources included regional pollution (associated with coal combustion and biomass burning), secondary sulfate, tailpipe exhaust, secondary nitrate, crustal/road dust, and shipping emission sources. For personal PM2.5 exposure, one additional source related to individuals' activities was found: non-tailpipe pollution (characterized by Fe, Mn, Cr, Cu, Sr). We also applied principal component analysis (PCA) for PM2.5 source identification. The results revealed similar factor/component profiles using PMF and PCA, with some discrepancies in the number of factors. PCA/absolute principal component scores (PCA/APC5) coupled with a linear mixed-effects model (LMM) was applied to the same dataset for source apportionment, adjusting for temperature and relative humidity. Furthermore, stratified PCA/APCs-LMM models were applied to estimate season- and group-specific source contributions of personal PM2.5 exposure. A mixed source contributions of secondary sulfate, secondary nitrate, and regional pollution were shown (35.1-43.6%), with no seasonal or subject group differences (p > 0.05). Shipping emissions were ubiquitous, contributing 6.3-8.8% of personal PM2.5 exposure for all subjects. Tailpipe exhaust and traffic-related particles varied by season (p < 0.01) and subject group (p < 0.05). Caution should be taken when using source-specific PM2.5 as proxies for the corresponding personal exposures in epidemiological studies.
资助项目	Hong Kong Environmental Protection Department, Hong Kong Special Administrative Region of China[13-04909] ; Research Grants Council of the Hong Kong Special Administrative Region of China[412413] ; Ministry of Science and Technology of China[2013FY112700] ; Chinese University of Hong Kong[4930744]
WOS关键词	SOURCE APPORTIONMENT ; MASS CONCENTRATIONS ; MEASUREMENT ERROR ; PARTICLES PM2.5 ; AMBIENT ORIGIN ; TIME-SERIES ; INDOOR ; POLLUTION ; AIR ; OUTDOOR
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:000501650100017
资助机构	Hong Kong Environmental Protection Department, Hong Kong Special Administrative Region of China ; Research Grants Council of the Hong Kong Special Administrative Region of China ; Ministry of Science and Technology of China ; Chinese University of Hong Kong
内容类型	期刊论文
源URL	[http://ir.ieecas.cn/handle/361006/13067]
专题	地球环境研究所_粉尘与环境研究室
通讯作者	Ho, Kin-Fai
作者单位	1.Univ Montana, Sch Publ & Community Hlth Sci, Missoula, MT 59812 USA 2.Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Peoples R China 3.Chinese Univ Hong Kong, Jockey Club Sch Publ Hlth & Primary Care, Hong Kong, Peoples R China 4.Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Hong Kong, Peoples R China 5.Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen Municipal Key Lab Hlth Risk Anal, Shenzhen, Guangdong, Peoples R China 6.Xi An Jiao Tong Univ, Inst Global Environm Change, Xian, Shaanxi, Peoples R China 7.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol, SKLLQG, Xian, Shaanxi, Peoples R China 8.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Chen, Xiao-Cui,Ward, Tony J.,Cao, Jun-Ji,et al. Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong[J]. ATMOSPHERIC ENVIRONMENT,2019,218:14.
APA	Chen, Xiao-Cui.,Ward, Tony J..,Cao, Jun-Ji.,Lee, Shun-Cheng.,Lau, Ngar-Cheung.,...&Ho, Kin-Fai.(2019).Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong.ATMOSPHERIC ENVIRONMENT,218,14.
MLA	Chen, Xiao-Cui,et al."Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong".ATMOSPHERIC ENVIRONMENT 218(2019):14.