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引入先进炉灶后炉灶的使用模式:家庭传感器的长期应用

Patterns of stove usage after introduction of an advanced cookstove: the long-term application of household sensors.

作者信息

Pillarisetti Ajay, Vaswani Mayur, Jack Darby, Balakrishnan Kalpana, Bates Michael N, Arora Narendra K, Smith Kirk R

机构信息

Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley , Berkeley, California 94720, United States.

出版信息

Environ Sci Technol. 2014 Dec 16;48(24):14525-33. doi: 10.1021/es504624c. Epub 2014 Dec 2.

Abstract

Household air pollution generated from solid fuel use for cooking is one of the leading risk factors for ill-health globally. Deployment of advanced cookstoves to reduce emissions has been a major focus of intervention efforts. However, household usage of these stoves and resulting changes in usage of traditional polluting stoves is not well characterized. In Palwal District, Haryana, India, we carried out an intervention utilizing the Philips HD4012 fan-assisted stove, one of the cleanest biomass stoves available. We placed small, unobtrusive data-logging iButton thermometers on both the traditional and Philips stoves to collect continuous data on use patterns in 200 homes over 60 weeks. Intervention stove usage declined steadily over time and stabilized after approximately 200 days; use of the traditional stove remained relatively constant. We additionally evaluated how well short-duration usage measures predicted long-term use. Measuring usage over time of both traditional and intervention stoves provides better understanding of cooking behaviors and can lead to more precise quantification of potential exposure reductions and consequent health benefits attributable to interventions.

摘要

使用固体燃料做饭产生的家庭空气污染是全球健康不良的主要风险因素之一。部署先进炉灶以减少排放一直是干预措施的主要重点。然而,这些炉灶的家庭使用情况以及传统污染炉灶使用情况的相应变化并未得到很好的描述。在印度哈里亚纳邦的帕尔瓦尔区,我们利用飞利浦HD4012风扇辅助炉灶进行了一项干预,该炉灶是最清洁的生物质炉灶之一。我们在传统炉灶和飞利浦炉灶上都放置了小型、不显眼的数据记录iButton温度计,以收集200户家庭在60周内的使用模式连续数据。干预炉灶的使用随时间稳步下降,并在大约200天后稳定下来;传统炉灶的使用保持相对稳定。我们还评估了短期使用测量对长期使用的预测效果。对传统炉灶和干预炉灶随时间的使用情况进行测量,可以更好地了解烹饪行为,并能够更精确地量化潜在的接触减少量以及干预措施带来的相应健康益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e24/4270394/428b0e4449fb/es-2014-04624c_0001.jpg

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