Yli-Tuomi Tarja, Lanki Timo, Hoek Gerard, Brunekreef Bert, Pekkanen Juha
Department of Environmental Health, National Public Health Institute (KTL), P.O. Box 95, FIN-70701 Kuopio, Finland.
Environ Sci Technol. 2008 Jun 15;42(12):4440-6. doi: 10.1021/es0716655.
Daily PM2.5 samples were repeatedly collected (1-8 times) in the homes of elderly nonsmoking individuals with coronary heart disease in Amsterdam, The Netherlands (33 individuals) and Helsinki, Finland (44 individuals). Sources of indoor PM2.5 were evaluated using a two-way multilinear engine model. Because the indoor elemental data lacked a traffic marker, separation of traffic related PM was attempted by combining the indoor data with fixed site outdoor data that also contained NO. Six outdoor sources, including long-range transport (LRT), urban mixture, oil combustion, traffic, sea-salt, and soil were identified, and three indoor sources were resolved: resuspension, potassium-rich and copper-rich sources. The average contribution of the indoor factors was 6% (1.1 microg m(-3)) and 22% (2.4 microg m(-3)) in Amsterdam and Helsinki, respectively. The highest longitudinal correlations between source-specific outdoor and indoor PM2.5 concentrations were found for LRT and urban mixture; the median R was above 0.6 for most sources. The longitudinal correlations were lower in Helsinki than in Amsterdam. Indoor-generated PM2.5 was not related to ambient concentrations. We conclude that using outdoor and indoor data together improved the source apportionment of indoor PM2.5. The results support the use of fixed site outdoor measurements in epidemiological time-series studies on outdoor air pollution.
在荷兰阿姆斯特丹(33人)和芬兰赫尔辛基(44人)的老年非吸烟冠心病患者家中,每日重复采集PM2.5样本(1至8次)。使用双向多线性引擎模型评估室内PM2.5的来源。由于室内元素数据缺乏交通标志物,因此尝试通过将室内数据与同样包含NO的固定站点室外数据相结合来分离与交通相关的PM。确定了六个室外来源,包括长距离传输(LRT)、城市混合源、燃油燃烧、交通、海盐和土壤,并解析出三个室内来源:再悬浮、富钾和富铜源。在阿姆斯特丹和赫尔辛基,室内因素的平均贡献率分别为6%(1.1微克/立方米)和22%(2.4微克/立方米)。对于LRT和城市混合源,特定来源的室外和室内PM2.5浓度之间的纵向相关性最高;大多数来源的中位数R高于0.6。赫尔辛基的纵向相关性低于阿姆斯特丹。室内产生的PM2.5与环境浓度无关。我们得出结论,将室外和室内数据结合使用可改善室内PM2.5的来源分配。结果支持在室外空气污染的流行病学时间序列研究中使用固定站点室外测量数据。