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Population inhalation exposure to polycyclic aromatic hydrocarbons and associated lung cancer risk in Beijing region: Contributions of indoor and outdoor sources and exposures

机译:北京地区人群吸入多环芳烃的风险及相关的肺癌风险:室内和室外污染源及暴露的贡献

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摘要

Polycyclic aromatic hydrocarbons (PAHs) are among the most toxic air pollutants in China. Efforts in assessing population inhalation exposure to PAHs, and its contribution to lung cancer risk for Chinese residents, have been limited due to insufficient data on measured indoor concentrations. A mass-balance model to predict indoor PAH concentrations was developed, along with estimated exposures and attributable lung cancer risks for residents in the Beijing region in 2006, with a 2-stage Monte Carlo simulation framework. The exposures and risks were split into three parts, based on the sources and places of exposure, to estimate the contributions of indoor and outdoor PAH sources and exposures, in order to better understand the source and place pattern of PAH exposure. PAHs bring considerable lung cancer risk to the population of Beijing region. The population attributable fraction (PAF) of lung cancer for Beijing's overall population is 2.99% [95% confidence interval (CI): 1.71%-4.26%]. Median contribution of indoor exposure to outdoor-originated PAHs (OUT-in) is 78% (CI: 73%-81%) in the overall population, for 97% (CI: 94%-99%) of whom OUT-in is the largest contributor. Rural residents are facing considerable exposure to indoor-originated PAHs (IN-in), which dominates the total exposure in 12% (CI: 2%-24%) of the rural population. This model framework could be used in quantitative comparison of different interventions on exposure to PAHs as well as other airborne pollutants.
机译:多环芳烃(PAH)是中国最具毒性的空气污染物之一。由于室内测量浓度的数据不足,评估人群吸入PAHs的努力及其对中国居民肺癌风险的贡献受到限制。利用两阶段的蒙特卡洛模拟框架,开发了一种质量平衡模型,用于预测室内PAH浓度,以及估计的暴露水平和北京地区2006年居民的肺癌风险。根据暴露的来源和地点,将暴露和风险分为三部分,以估算室内和室外PAH来源和暴露的贡献,以便更好地了解PAH暴露的来源和地点模式。多环芳烃给北京地区的居民带来相当大的肺癌风险。北京总人口的肺癌人口归因分数(PAF)为2.99%[95%置信区间(CI):1.71%-4.26%]。室内暴露于室外起源的PAHs(OUT-in)的中位数占总人口的78%(CI:73%-81%),其中OUT-in为97%(CI:94%-99%)最大的贡献者。农村居民正面临来自室内的多环芳烃(IN-in)的大量暴露,占室内总暴露量的12%(CI:2%-24%)。该模型框架可用于定量比较暴露于多环芳烃和其他空气污染物的不同干预措施。

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