气候变化领域集成服务门户(CCPortal): Characteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China

CCPortal

DOI	10.1016/j.atmosenv.2020.117295
	Characteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China
	Chen X.-C.; Jahn H.J.; Ward T.J.; Ho H.C.; Luo M.; Engling G.; Kraemer A.
发表日期	2020
ISSN	1352-2310
卷号	224
英文摘要	Understanding the heterogeneity between ambient concentration and personal exposure is crucial in studies regarding the health risks of air pollution exposure. We performed a panel study with 4–19 (average = 10) repeated personal monitoring in 16 adult subjects (ages 18–30) for three consecutive weeks during the winter and summer of 2011–2012 in the Chinese megacity of Guangzhou. Also, we conducted simultaneous ambient measurements at eight districts (including five urban sites, two suburban locations, and one rural site) of Guangzhou. Significant seasonal variations were shown in personal PM2.5 exposure for most of the analyzed components (p < 0.05), with higher levels in winter than in summer. Average personal exposures exhibited a pattern of central urban > suburban > rural areas for PM2.5 mass and most of the constituents (e.g., carbonaceous aerosols, ions). We applied mixed-effects models to estimate within- and between-subject variance components and determinants of personal PM2.5 exposure after adjusting for potential confounders. The within-subject variance component dominated the total variability (63.7–95.6%) for most of the investigated PM2.5 components. Ambient PM2.5 mass and its components were the dominant predictors and contributors of the corresponding personal exposures (0.11 < Rc2 < 0.97; p < 0.05). The results indicate that season and district type affect personal PM2.5 exposure and its components, contributing to 4.9–51.6% and 8.0–77.8% of the variability. Time indoors and outdoors were also factors affecting personal exposure. The study findings revealed ambient concentrations at a fixed monitoring station underestimated residents’ true exposure levels. In conclusion, the current study emphasizes the need for incorporating spatio-temporal activity patterns complementing evenly-distributed air quality monitoring networks to increase the estimation power in epidemiological analysis linking true personal exposure to health effects. © 2020 Elsevier Ltd
关键词	Mixed-effects model Personal exposure PM2.5 constituents Within-subject variability
语种	英语
scopus关键词	Air quality; Exposure controls; Health risks; Rural areas; Urban growth; Air pollution exposures; Air quality monitoring networks; Ambient concentrations; Mixed effects models; Personal exposures; PM2.5 constituents; Spatio-temporal activities; Within-subject variability; Patient monitoring; air quality; atmospheric pollution; concentration (composition); epidemiology; health impact; heterogeneity; megacity; model; pollution exposure; public health; rural area; seasonal variation; spatiotemporal analysis; suburban area; adult; aerosol; air quality; article; China; clinical article; female; human; human experiment; male; panel study; personal monitoring; resident; rural area; seasonal variation; summer; variance; winter; China; Guangdong; Guangzhou
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/249329
作者单位	Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China; School of Public Health, Bielefeld University, Bielefeld, Germany; School of Public and Community Health Sciences, University of Montana, Missoula, MT, United States; Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China; School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo‐simulation, Sun Yat-sen University, Guangzhou, China; Division of Atmospheric Science, Desert Research Institute, Reno, NV, United States; Now at: California Air Resources Board, El Monte, CA, United States; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
推荐引用方式 GB/T 7714	Chen X.-C.,Jahn H.J.,Ward T.J.,et al. Characteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China[J],2020,224.
APA	Chen X.-C..,Jahn H.J..,Ward T.J..,Ho H.C..,Luo M..,...&Kraemer A..(2020).Characteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China.ATMOSPHERIC ENVIRONMENT,224.
MLA	Chen X.-C.,et al."Characteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China".ATMOSPHERIC ENVIRONMENT 224(2020).