印度安得拉邦农村地区与家用燃料使用有关的可吸入颗粒物暴露评估。

Kalpana Balakrishnan, Sankar Sambandam, Padmavathi Ramaswamy, Sumi Mehta, Kirk R Smith
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引用次数: 199

摘要

与固体燃料燃烧有关的室内空气污染似乎是造成印度国家疾病负担的一个主要因素,但现有的定量接触评估研究相对较少。本研究通过分层随机抽样从印度安得拉邦的三个地区选取412个农村家庭,量化可吸入颗粒物的日平均浓度(50%截止于4微米),并记录1400人的时间活动数据,以重建24小时的平均暴露。在使用天然气和固体燃料的家庭中,24小时的平均浓度分别为73至732微克/立方米。浓度与燃料类型、厨房类型和燃料数量显著相关。24小时平均暴露量为80 ~ 573微克/米(3)。在固体燃料使用者中,女性厨师的24小时平均暴露量最高,与男性和儿童有显著差异。在女性中,15-40岁年龄组的接触量最高(最有可能参与烹饪或帮助烹饪),而在男性中,65-80岁年龄组的接触量最高(最有可能在室内)。目前正在利用这些数据制订一个模型,根据住房和燃料特性的调查资料预测人口接触的数量类别。这将有助于建立区域接触数据库,并能更好地估计健康风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exposure assessment for respirable particulates associated with household fuel use in rural districts of Andhra Pradesh, India.

Indoor air pollution associated with combustion of solid fuels seems to be a major contributor to the national burden of disease in India, but relatively few quantitative exposure assessment studies are available. This study quantified the daily average concentrations of respirable particulates (50% cut-off at 4 microm) in 412 rural homes selected through stratified random sampling from three districts of Andhra Pradesh, India and recorded time activity data from 1400 individuals to reconstruct 24-h average exposures. The mean 24-h average concentrations ranged from 73 to 732 microg/m(3) in gas- versus solid fuel-using households, respectively. Concentrations were significantly correlated with fuel type, kitchen type, and fuel quantity. The mean 24-h average exposures ranged from 80 to 573 microg/m(3). Among solid fuel users, the mean 24-h average exposures were the highest for women cooks and were significantly different from men and children. Among women, exposures were the highest in the age group of 15-40 years (most likely to be involved in cooking or helping in cooking), while among men, exposures were highest in the age group of 65-80 years (most likely to be indoors). The data are being used to develop a model to predict quantitative categories of population exposure based on survey information on housing and fuel characteristics. This would facilitate the development of a regional exposure database and enable better estimation of health risks.

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