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Personal exposures to fine particulate matter and black carbon in households cooking with biomass fuels in rural Ghana

机译:加纳农村地区使用生物燃料做饭的家庭个人接触细颗粒物和黑碳的情况

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Objective: To examine cooking practices and 24-h personal and kitchen area exposures to fine particulate matter ( PM_(2.5) ) and black carbon in cooks using biomass in Ghana.Methods: Researchers administered a detailed survey to 421 households. In a sub-sample of 36 households, researchers collected 24-h integrated PM_(2.5) samples (personal and kitchen area); in addition, the primary cook was monitored for real-time PM_(2.5) . All filters were also analyzed for black carbon using a multi-wavelength reflectance method. Predictors of PM_(2.5) exposure were analyzed, including cooking behaviors, fuel, stove and kitchen type, weather, demographic factors and other smoke sources. Results: The majority of households cooked outdoors (55%; 231/417), used biomass (wood or charcoal) as their primary fuel (99%; 412/413), and cooked on traditional fires (77%, 323/421). In the sub-sample of 29 households with complete, valid exposure monitoring data, the 24-h integrated concentrations of PM_(2.5) were substantially higher in the kitchen sample (mean 446.8 μg/m3) than in the personal air sample (mean 128.5 μg/m3). Black carbon concentrations followed the same pattern such that concentrations were higher in the kitchen sample (14.5 μg/m3) than in the personal air sample (8.8 μg/m3). Spikes in real-time personal concentrations of PM_(2.5) accounted for the majority of exposure; the most polluted 5%, or 72 min, of the 24-h monitoring period accounted for 75% of all exposure. Two variables that had some predictive power for personal PM_(2.5) exposures were primary fuel type and ethnicity, while reported kerosene lantern use was associated with increased personal and kitchen area concentrations of black carbon. Conclusion: Personal concentrations of PM_(2.5) exhibited considerable inter-subject variability across kitchen types (enclosed, semi-enclosed, outdoor), and can be elevated even in outdoor cooking settings. Furthermore, personal concentrations of PM_(2.5) were not associated with kitchen type and were not predicted by kitchen area samples; rather they were driven by spikes in PM_(2.5) concentrations during cooking. Personal exposures were more enriched with black carbon when compared to kitchen area samples, underscoring the need to explore other sources of incomplete combustion such as roadway emissions, charcoal production and kerosene use.
机译:目的:研究加纳地区使用生物质的厨师的烹饪习惯以及24小时个人和厨房区域接触的细颗粒物(PM_(2.5))和黑碳。方法:研究人员对421户家庭进行了详细调查。在36个家庭的子样本中,研究人员收集了24小时的PM_(2.5)综合样本(个人和厨房区域);此外,还监控了主厨师的实时PM_(2.5)。还使用多波长反射法分析了所有过滤器的黑碳。分析了PM_(2.5)暴露的预测因素,包括烹饪行为,燃料,炉灶和厨房类型,天气,人口统计学因素和其他烟源。结果:大多数家庭在户外做饭(55%; 231/417),使用生物质(木材或木炭)作为主要燃料(99%; 412/413),并在传统大火上做饭(77%,323/421) 。在具有完整有效的暴露监测数据的29个家庭的子样本中,厨房样本中24小时的PM_(2.5)集成浓度(平均446.8μg/ m3)大大高于个人空气样本中的PM_(2.5)(平均128.5)微克/立方米)。黑碳浓度遵循相同的模式,因此厨房样品中的浓度(14.5μg/ m3)高于个人空气样品中的浓度(8.8μg/ m3)。实时个人浓度PM_(2.5)的峰值占大多数暴露。在24小时监控期内,污染最严重的5%(即72分钟)占所有暴露的75%。对个人PM_(2.5)暴露具有一定预测能力的两个变量是主要燃料类型和种族,而据报告使用煤油灯笼与个人和厨房区域黑碳浓度增加相关。结论:PM_(2.5)的个人浓度在厨房类型(封闭式,半封闭式,室外)中表现出显着的受试者间差异,甚至在室外烹饪环境中也可以升高。此外,PM_(2.5)的个人浓度与厨房类型无关,厨房区域样本也无法预测其浓度。相反,它们是由烹饪过程中PM_(2.5)浓度的峰值驱动的。与厨房区域的样品相比,个人暴露的黑碳含量更高,强调需要探索其他不完全燃烧的来源,例如道路排放,木炭生产和煤油使用。

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