File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Characteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China

TitleCharacteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China
Authors
KeywordsPersonal exposure
PM2.5 constituents
Within-subject variability
Mixed-effects model
Issue Date2020
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/atmosenv
Citation
Atmospheric Environment, 2020, v. 224, p. article no. 117295 How to Cite?
AbstractUnderstanding 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.
Persistent Identifierhttp://hdl.handle.net/10722/281261
ISSN
2023 Impact Factor: 4.2
2023 SCImago Journal Rankings: 1.169
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, X-C-
dc.contributor.authorJahn, HJ-
dc.contributor.authorWard, TJ-
dc.contributor.authorHo, HC-
dc.contributor.authorLuo, M-
dc.contributor.authorEngling, G-
dc.contributor.authorKraemer, A-
dc.date.accessioned2020-03-09T09:52:14Z-
dc.date.available2020-03-09T09:52:14Z-
dc.date.issued2020-
dc.identifier.citationAtmospheric Environment, 2020, v. 224, p. article no. 117295-
dc.identifier.issn1352-2310-
dc.identifier.urihttp://hdl.handle.net/10722/281261-
dc.description.abstractUnderstanding 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.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/atmosenv-
dc.relation.ispartofAtmospheric Environment-
dc.subjectPersonal exposure-
dc.subjectPM2.5 constituents-
dc.subjectWithin-subject variability-
dc.subjectMixed-effects model-
dc.titleCharacteristics and determinants of personal exposure to PM2.5 mass and components in adult subjects in the megacity of Guangzhou, China-
dc.typeArticle-
dc.identifier.emailHo, HC: hcho21@hku.hk-
dc.identifier.authorityHo, HC=rp02482-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.atmosenv.2020.117295-
dc.identifier.scopuseid_2-s2.0-85078676701-
dc.identifier.hkuros309335-
dc.identifier.volume224-
dc.identifier.spagearticle no. 117295-
dc.identifier.epagearticle no. 117295-
dc.identifier.isiWOS:000525865300014-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1352-2310-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats