Exposure assessment for respirable particulates associated with household fuel use in rural districts of Andhra Pradesh, India

被引:132
作者
Balakrishnan, K [1 ]
Sambandam, S
Ramaswamy, P
Mehta, S
Smith, KR
机构
[1] Deemed Univ, Sri Ramachandra Med Coll & Res Inst, Madras 600116, Tamil Nadu, India
[2] Univ Calif Berkeley, Berkeley, CA 94720 USA
[3] WHO, CH-1211 Geneva, Switzerland
来源
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY | 2004年 / 14卷 / Suppl 1期
关键词
respirable particulates; biomass fuels; developing countries; exposure assessment; Southern India;
D O I
10.1038/sj.jea.7500354
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 mm) 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 mug/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 mug/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.
引用
收藏
页码:S14 / S25
页数:12
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