Publication:
Indoor/outdoor PM<inf>10</inf>and PM<inf>2.5</inf>in Bangkok, Thailand

dc.contributor.authorFeng C. Tsaien_US
dc.contributor.authorKirk R. Smithen_US
dc.contributor.authorNuntavarn Vichit-Vadakanen_US
dc.contributor.authorBart D. Ostroen_US
dc.contributor.authorLauraine G. Chestnuten_US
dc.contributor.authorNipapun Kungskulnitien_US
dc.contributor.otherUniversity of California, Berkeleyen_US
dc.contributor.otherChulalongkorn Universityen_US
dc.contributor.otherCalifornia Environmental Protection Agencyen_US
dc.contributor.otherStratus Consultingen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-09-07T09:10:58Z
dc.date.available2018-09-07T09:10:58Z
dc.date.issued2000-01-01en_US
dc.description.abstractTwenty-four-hour averaged PM10and PM2.5concentrations were obtained by using 4-liter-per-minute-pumps and impactors in microenvironments of a busy shopping d strict and a university hospital campus. In both areas, most people live directly adjacent to their worksites - minimizing the need to measure commuting exposure as part of total daily exposure. Co-located samplers were set in indoor microenvironments, the near-ambient zone of the households, and at nearby streetside central ambient monitoring stations. Smoking and use of other indoor PM sources were recorded daily via questionnaires. Consistent with previous studies, smoking and the use of charcoal stoves increased indoor particulate matter levels. The sampled air- conditioned hospital area had substantially lower particle concentrations than outdoors. A simple total exposure model was used to estimate the human exposure. The averaged ratios of co-located PM2.5/PM10concentrations in various microenvironments are reported for each location. A single daily indoor average PM10concentration for all households measured in a given sampling day is calculated for correlation analysis. Results showed that day-to-day fluctuations of these calculated indoor PM10levels correlated well with near-ambient data and moderately well with ambient data collected at the nearby central monitoring site. This implies that ambient monitors are able to capture the daily variations of indoor PM levels or even personal exposure and may help explain the robust association of ambient PM levels and health effects found in many epidemiological studies. Absolute PM exposures, however, were substantially underestimated by ambient monitors in the shopping district, probably because of strong local sources.en_US
dc.identifier.citationJournal of Exposure Analysis and Environmental Epidemiology. Vol.10, No.1 (2000), 15-26en_US
dc.identifier.issn10534245en_US
dc.identifier.other2-s2.0-0033621820en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/25944
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0033621820&origin=inwarden_US
dc.subjectEnvironmental Scienceen_US
dc.subjectMedicineen_US
dc.subjectPharmacology, Toxicology and Pharmaceuticsen_US
dc.titleIndoor/outdoor PM<inf>10</inf>and PM<inf>2.5</inf>in Bangkok, Thailanden_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0033621820&origin=inwarden_US

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