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Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong
Chen, XC (Chen, Xiao-Cui)[ 1 ] ;  Ward, TJ (Ward, Tony J.)[ 2 ] ;  Cao, JJ (Cao, Jun-Ji)[ 3,4 ] ;  Lee, SC (Lee, Shun-Cheng)[ 5 ] ;  Lau, NC (Lau, Ngar-Cheung)[ 1,6 ] ;  Yim, SHL (Yim, Steve H. L.)[ 1,6 ] ;  Ho, KF (Ho, Kin-Fai)[ 1,3,7,8 ]
2019-12-01
Source PublicationATMOSPHERIC ENVIRONMENT
Volume218
Contribution Rank3
AbstractEpidemiological 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.
KeywordSOURCE APPORTIONMENT MASS CONCENTRATIONS MEASUREMENT ERROR PARTICLES PM2.5 AMBIENT ORIGIN TIME-SERIES INDOOR POLLUTION AIR OUTDOOR
DOI10.1016/j.atmosenv.2019.116999
Language英语
WOS IDWOS:000501650100017
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/11002
Collection粉尘与环境研究室
Affiliation1.Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Hong Kong, Peoples R China
2.Univ Montana, Sch Publ & Community Hlth Sci, Missoula, MT 59812 USA
3.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol, SKLLQG, Xian, Shaanxi, Peoples R China
4.Xi An Jiao Tong Univ, Inst Global Environm Change, Xian, Shaanxi, Peoples R China
5.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China
6.Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Peoples R China
7.Chinese Univ Hong Kong, Jockey Club Sch Publ Hlth & Primary Care, Hong Kong, Peoples R China
8.Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen Municipal Key Lab Hlth Risk Anal, Shenzhen, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Chen, XC , Ward, TJ , Cao, JJ ,et al. Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong[J]. ATMOSPHERIC ENVIRONMENT,2019,218.
APA Chen, XC ., Ward, TJ ., Cao, JJ ., Lee, SC ., Lau, NC .,...& Ho, KF .(2019).Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong.ATMOSPHERIC ENVIRONMENT,218.
MLA Chen, XC ,et al."Source identification of personal exposure to fine particulate matter (PM2.5) among adult residents of Hong Kong".ATMOSPHERIC ENVIRONMENT 218(2019).
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