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Children’s microenvironmental exposure to PM2.5 and ozone and the impact of indoor air filtration
Background In highly polluted urban areas, personal exposure to PM 2.5 and O 3 occur daily in various microenvironments. Identifying which microenvironments contribute most to exposure can pinpoint effective exposure reduction strategies and mitigate adverse health impacts. Methods This work uses re...
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Published in: | Journal of exposure science & environmental epidemiology 2020-11, Vol.30 (6), p.971-980 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background
In highly polluted urban areas, personal exposure to PM
2.5
and O
3
occur daily in various microenvironments. Identifying which microenvironments contribute most to exposure can pinpoint effective exposure reduction strategies and mitigate adverse health impacts.
Methods
This work uses real-time sensors to assess the exposures of children with asthma (
N
= 39) in Shanghai, quantifying microenvironmental exposure to PM
2.5
and O
3
. An air cleaner was deployed in participants’ bedrooms where we hypothesized exposure could be most efficiently reduced. Monitoring occurred for two 48-h periods: one with bedroom filtration (portable air cleaner with HEPA and activated carbon filters) and the other without.
Results
Children spent 91% of their time indoors with the majority spent in their bedroom (47%). Without filtration, the bedroom and classroom environments were the largest contributors to PM
2.5
exposure. With filtration, bedroom PM
2.5
exposure was reduced by 75% (45% of total exposure). Although filtration status did not impact O
3
, the largest contribution of O
3
exposure also came from the bedroom.
Conclusions
Actions taken to reduce bedroom PM
2.5
and O
3
concentrations can most efficiently reduce total exposure. As real-time pollutant monitors become more accessible, similar analyses can be used to evaluate new interventions and optimize exposure reductions for a variety of populations. |
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ISSN: | 1559-0631 1559-064X |
DOI: | 10.1038/s41370-020-00266-5 |