Estimating Indoor PM2.5 and CO Concentrations in Households in Southern Nepal: The Nepal Cookstove Intervention Trials

被引:39
|
作者
Chen, Chen [1 ]
Zeger, Scott [2 ]
Breysse, Patrick [1 ]
Katz, Joanne [3 ]
Checkley, William [3 ,4 ]
Curriero, Frank C. [5 ]
Tielsch, James M. [6 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Environm Hlth Sci, Baltimore, MD USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD USA
[3] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Baltimore, MD USA
[4] Johns Hopkins Sch Med, Dept Med, Div Pulm & Crit Care, Baltimore, MD USA
[5] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[6] George Washington Univ, Sch Publ Hlth, Milken Inst, Dept Global Hlth, Washington, DC 20052 USA
来源
PLOS ONE | 2016年 / 11卷 / 07期
基金
美国国家卫生研究院;
关键词
PARTICULATE MATTER; AIR-POLLUTION; HEALTH; EXPOSURES; CHILDREN; QUALITY;
D O I
10.1371/journal.pone.0157984
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (PM2.5) 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 PM2.5 and CO concentrations collected in area near stove were 1,376 (95% CI, 1,331-1,423) mu g/m(3) and 10.9 (10.5-11.3) parts per million (ppm) among households with traditional cookstoves. The 95th percentile, hours above 100 mu g/m(3) for PM2.5 or 6ppm for CO, and hours above 1000 mu g/m(3) for PM2.5 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) mu g/m(3) for PM2.5 and 21.8 (21.1-22.6) ppm for CO. Dry season significantly increased PM2.5 concentration in all metrics; wood was the cleanest fuel for PM2.5 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 PM2.5 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.
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页数:17
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