globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2020.117295
论文题名:
Characteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China
作者: Chen X.-C.; Jahn H.J.; Ward T.J.; Ho H.C.; Luo M.; Engling G.; Kraemer A.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 224
语种: 英语
英文关键词: 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
学科: Mixed-effects model ; Personal exposure ; PM2.5 constituents ; Within-subject variability
中文摘要: 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
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160945
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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

Recommended Citation:
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]. Atmospheric Environment,2020-01-01,224
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