dc.date.accessioned | 2024-03-03T18:21:35Z | |
dc.date.available | 2024-03-03T18:21:35Z | |
dc.date.created | 2023-03-16T15:20:17Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Pillarisetti, Ajay Alnes, Line Winther Hansen Ye, Wenlu McCracken, John P. Canuz, Eduardo Smith, Kirk R. . Repeated assessment of PM2.5 in Guatemalan kitchens cooking with wood: Implications for measurement strategies. Atmospheric Environment. 2023, 295 | |
dc.identifier.uri | http://hdl.handle.net/10852/108964 | |
dc.description.abstract | Household air pollution resulting from solid fuel combustion is a leading cause of global morbidity and mortality. Strategies to measure area concentrations of and exposures to PM2.5 in rural homes focus primarily on short-term measurements, often of 24 or 48 h. Little is known about how well these short-term measurements, commonly used exposure metrics in health risk assessment of the impacts of household air pollution exposure, predict longer-term averages. In San Lorenzo District, Guatemala, we deployed the relatively low-cost University of California, Berkeley (UCB) Particle and Temperature Sensor (PATS) for 120–333 days in the kitchens of 8 homes using biomass fuels. We evaluated how well short-term measurements predicted the household-level, entire-sample average. A single 24-h measurement had between a 32% and 39% chance of being within ±25% of the household-level mean of all measurements. The Root Mean Square Error (RMSE) of a single 24-h measurement was on average 4.5 times higher than that of the mean of measurements taken once per study week. Alternate strategies – including sampling once per study week or once per study month – with this class of lower-cost sensors yield estimates which have a higher probability of being closer to the overall average value and have smaller errors relative to the overall mean. Evaluation of how well short-term measures predict longer-term averages of household air pollution at prospective study sites allows optimization of field resources to better estimate indoor concentrations and personal exposures. | |
dc.language | EN | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.title | Repeated assessment of PM2.5 in Guatemalan kitchens cooking with wood: Implications for measurement strategies | |
dc.title.alternative | ENEngelskEnglishRepeated assessment of PM2.5 in Guatemalan kitchens cooking with wood: Implications for measurement strategies | |
dc.type | Journal article | |
dc.creator.author | Pillarisetti, Ajay | |
dc.creator.author | Alnes, Line Winther Hansen | |
dc.creator.author | Ye, Wenlu | |
dc.creator.author | McCracken, John P. | |
dc.creator.author | Canuz, Eduardo | |
dc.creator.author | Smith, Kirk R. | |
cristin.unitcode | 185,15,12,0 | |
cristin.unitname | Kjemisk institutt | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |
dc.identifier.cristin | 2134535 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Atmospheric Environment&rft.volume=295&rft.spage=&rft.date=2023 | |
dc.identifier.jtitle | Atmospheric Environment | |
dc.identifier.volume | 295 | |
dc.identifier.pagecount | 0 | |
dc.identifier.doi | https://doi.org/10.1016/j.atmosenv.2022.119533 | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 1352-2310 | |
dc.type.version | PublishedVersion | |
cristin.articleid | 119533 | |