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在中国农村,室内暴露于与固体燃料使用相关的多环芳化合物

Shiyin Li¹, Yatai Men¹, Zhihan Luo¹

¹MOE Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.

Environmental geochemistry and health

|September 22, 2023

概括

由于采用清洁能源,中国的室内多环芳 (PAH) 暴露,特别是子[a]烯 (BaP),已显著减少. 促进清洁燃料对于减少室内PAH风险至关重要.

科学领域:

环境健康环境健康
毒理学毒理学毒理学
化学暴露评估化学暴露评估

背景情况:

多环芳 (PAH) 是普遍存在的环境污染物,与严重的健康问题有关,包括肺癌.
室内PAH暴露,通常来自燃料燃烧,对健康构成重大风险,但由于资源密集性,大规模评估具有挑战性.
[a]烯 (BaP) 是一种代表性的PAH,了解其室内含量对于公共健康至关重要.

研究的目的:

开发一种具有成本效益的方法来评估中国的室内BaP度.
评估室内BaP水平的时空变化及其对吸入总暴露的贡献.
为减轻与燃料使用相关的室内PAH风险的策略提供信息.

主要方法:

使用一种新的基于燃料的方法与统计回归模型相结合,用于预测室内BaP度.
这些模型被用来分析长期趋势和区域差异在中国的室内BaP暴露.
计算了人口加权平均度和暴露贡献.

主要成果:

观察到国家人口加权室内BaP度大幅下降,从1992年的46.1 ng/m3降至2017年的6.60 ng/m3.
这一下降主要归因于人们越来越多地采用清洁能源用于家庭和供暖.
在许多城市,室内BAP暴露占吸入暴露总量的70%以上,特别是在依赖固体燃料的地区.

结论:

转向更清洁的能源已经大大降低了中国的室内BaP水平.
尽管统计模型存在不确定性,但研究结果强调了促进清洁能源在改善家庭空气质量的有效性.
针对固体燃料使用的有针对性的干预措施对于进一步减少室内PAH暴露和相关健康风险至关重要.

关键词:

暴露风险暴露风险暴露风险室内污染室内污染多环芳香碳化合物多环芳香碳化合物统计模型统计模型

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