Air pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, Bangladesh

Abstract Background Indoor air pollution, including fine particulate matter (PM2.5) and carbon monoxide (CO), is a major risk factor for pneumonia and other respiratory diseases. Biomass-burning cookstoves are major contributors to PM2.5 and CO concentrations. However, high concentrations of PM2.5 (...

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Main Authors: Anne M. Weaver, Emily S. Gurley, Christina Crabtree-Ide, Henrik Salje, Eun-Hye Yoo, Lina Mu, Nasrin Akter, Pavani K. Ram
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-019-6751-z
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spelling doaj-b2948aa268264e929ec51037dec0fcd42020-11-25T02:59:49ZengBMCBMC Public Health1471-24582019-04-0119111210.1186/s12889-019-6751-zAir pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, BangladeshAnne M. Weaver0Emily S. Gurley1Christina Crabtree-Ide2Henrik Salje3Eun-Hye Yoo4Lina Mu5Nasrin Akter6Pavani K. Ram7Department of Epidemiology and Environmental Health, University at BuffaloProgramme for Emerging Infections, icddr,bDepartment of Epidemiology and Environmental Health, University at BuffaloDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public HealthDepartment of Geography, University at BuffaloDepartment of Epidemiology and Environmental Health, University at BuffaloProgramme for Emerging Infections, icddr,bDepartment of Epidemiology and Environmental Health, University at BuffaloAbstract Background Indoor air pollution, including fine particulate matter (PM2.5) and carbon monoxide (CO), is a major risk factor for pneumonia and other respiratory diseases. Biomass-burning cookstoves are major contributors to PM2.5 and CO concentrations. However, high concentrations of PM2.5 (> 1000 μg/m3) have been observed in homes in Dhaka, Bangladesh that do not burn biomass. We described dispersion of PM2.5 and CO from biomass burning into nearby homes in a low-income urban area of Dhaka, Bangladesh. Methods We recruited 10 clusters of homes, each with one biomass-burning (index) home, and 3–4 neighboring homes that used cleaner fuels with no other major sources of PM2.5 or CO. We administered a questionnaire and recorded physical features of all homes. Over 24 h, we recorded PM2.5 and CO concentrations inside each home, near each stove, and outside one neighbor home per cluster. During 8 of these 24 h, we conducted observations for pollutant-generating activities such as cooking. For each monitor, we calculated geometric mean PM2.5 concentrations at 5-6 am (baseline), during biomass burning times, during non-cooking times, and over 24 h. We used linear regressions to describe associations between monitor location and PM2.5 and CO concentrations. Results We recruited a total of 44 homes across the 10 clusters. Geometric mean PM2.5 and CO concentrations for all monitors were lowest at baseline and highest during biomass burning. During biomass burning, linear regression showed a decreasing trend of geometric mean PM2.5 and CO concentrations from the biomass stove (326.3 μg/m3, 12.3 ppm), to index home (322.7 μg/m3, 11.2 ppm), neighbor homes sharing a wall with the index home (278.4 μg/m3, 3.6 ppm), outdoors (154.2 μg/m3, 0.7 ppm), then neighbor homes that do not share a wall with the index home (83.1 μg/m3,0.2 ppm) (p = 0.03 for PM2.5, p = 0.006 for CO). Conclusion Biomass burning in one home can be a source of indoor air pollution for several homes. The impact of biomass burning on PM2.5 or CO is greatest in homes that share a wall with the biomass-burning home. Eliminating biomass burning in one home may improve air quality for several households in a community.http://link.springer.com/article/10.1186/s12889-019-6751-zAir pollutionBiomass stoveFine particulate matterCarbon monoxideBangladesh
collection DOAJ
language English
format Article
sources DOAJ
author Anne M. Weaver
Emily S. Gurley
Christina Crabtree-Ide
Henrik Salje
Eun-Hye Yoo
Lina Mu
Nasrin Akter
Pavani K. Ram
spellingShingle Anne M. Weaver
Emily S. Gurley
Christina Crabtree-Ide
Henrik Salje
Eun-Hye Yoo
Lina Mu
Nasrin Akter
Pavani K. Ram
Air pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, Bangladesh
BMC Public Health
Air pollution
Biomass stove
Fine particulate matter
Carbon monoxide
Bangladesh
author_facet Anne M. Weaver
Emily S. Gurley
Christina Crabtree-Ide
Henrik Salje
Eun-Hye Yoo
Lina Mu
Nasrin Akter
Pavani K. Ram
author_sort Anne M. Weaver
title Air pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, Bangladesh
title_short Air pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, Bangladesh
title_full Air pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, Bangladesh
title_fullStr Air pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, Bangladesh
title_full_unstemmed Air pollution dispersion from biomass stoves to neighboring homes in Mirpur, Dhaka, Bangladesh
title_sort air pollution dispersion from biomass stoves to neighboring homes in mirpur, dhaka, bangladesh
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2019-04-01
description Abstract Background Indoor air pollution, including fine particulate matter (PM2.5) and carbon monoxide (CO), is a major risk factor for pneumonia and other respiratory diseases. Biomass-burning cookstoves are major contributors to PM2.5 and CO concentrations. However, high concentrations of PM2.5 (> 1000 μg/m3) have been observed in homes in Dhaka, Bangladesh that do not burn biomass. We described dispersion of PM2.5 and CO from biomass burning into nearby homes in a low-income urban area of Dhaka, Bangladesh. Methods We recruited 10 clusters of homes, each with one biomass-burning (index) home, and 3–4 neighboring homes that used cleaner fuels with no other major sources of PM2.5 or CO. We administered a questionnaire and recorded physical features of all homes. Over 24 h, we recorded PM2.5 and CO concentrations inside each home, near each stove, and outside one neighbor home per cluster. During 8 of these 24 h, we conducted observations for pollutant-generating activities such as cooking. For each monitor, we calculated geometric mean PM2.5 concentrations at 5-6 am (baseline), during biomass burning times, during non-cooking times, and over 24 h. We used linear regressions to describe associations between monitor location and PM2.5 and CO concentrations. Results We recruited a total of 44 homes across the 10 clusters. Geometric mean PM2.5 and CO concentrations for all monitors were lowest at baseline and highest during biomass burning. During biomass burning, linear regression showed a decreasing trend of geometric mean PM2.5 and CO concentrations from the biomass stove (326.3 μg/m3, 12.3 ppm), to index home (322.7 μg/m3, 11.2 ppm), neighbor homes sharing a wall with the index home (278.4 μg/m3, 3.6 ppm), outdoors (154.2 μg/m3, 0.7 ppm), then neighbor homes that do not share a wall with the index home (83.1 μg/m3,0.2 ppm) (p = 0.03 for PM2.5, p = 0.006 for CO). Conclusion Biomass burning in one home can be a source of indoor air pollution for several homes. The impact of biomass burning on PM2.5 or CO is greatest in homes that share a wall with the biomass-burning home. Eliminating biomass burning in one home may improve air quality for several households in a community.
topic Air pollution
Biomass stove
Fine particulate matter
Carbon monoxide
Bangladesh
url http://link.springer.com/article/10.1186/s12889-019-6751-z
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