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Estimating Indoor PM(2.5) and CO Concentrations in Households in Southern Nepal: The Nepal Cookstove Intervention Trials

High concentrations of household air pollution (HAP) due to biomass fuel usage with unvented, insufficient combustion devices are thought to be an important health risk factor in South Asia population. To better characterize the indoor concentrations of particulate matter (PM(2.5)) and carbon monoxi...

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Detalles Bibliográficos
Autores principales: Chen, Chen, Zeger, Scott, Breysse, Patrick, Katz, Joanne, Checkley, William, Curriero, Frank C., Tielsch, James M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936723/
https://www.ncbi.nlm.nih.gov/pubmed/27389398
http://dx.doi.org/10.1371/journal.pone.0157984
Descripción
Sumario:High concentrations of household air pollution (HAP) due to biomass fuel usage with unvented, insufficient combustion devices are thought to be an important health risk factor in South Asia population. To better characterize the indoor concentrations of particulate matter (PM(2.5)) and carbon monoxide (CO), and to understand their impact on health in rural southern Nepal, this study analyzed daily monitoring data collected with DataRAM pDR-1000 and LASCAR CO data logger in 2980 households using traditional biomass cookstove indoor through the Nepal Cookstove Intervention Trial–Phase I between March 2010 and October 2011. Daily average PM(2.5) and CO concentrations collected in area near stove were 1,376 (95% CI, 1,331–1,423) μg/m(3) and 10.9 (10.5–11.3) parts per million (ppm) among households with traditional cookstoves. The 95(th) percentile, hours above 100μg/m(3) for PM(2.5) or 6ppm for CO, and hours above 1000μg/m(3) for PM(2.5) or 9ppm for CO were also reported. An algorithm was developed to differentiate stove-influenced (SI) periods from non-stove-influenced (non-SI) periods in monitoring data. Average stove-influenced concentrations were 3,469 (3,350–3,588) μg/m(3) for PM(2.5) and 21.8 (21.1–22.6) ppm for CO. Dry season significantly increased PM(2.5) concentration in all metrics; wood was the cleanest fuel for PM(2.5) and CO, while adding dung into the fuel increased concentrations of both pollutants. For studies in rural southern Nepal, CO concentration is not a viable surrogate for PM(2.5) concentrations based on the low correlation between these measures. In sum, this study filled a gap in knowledge on HAP in rural Nepal using traditional cookstoves and revealed very high concentrations in these households.