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Determination of the sources of Indoor PM_(2.5) in Amsterdam and Helsinki

机译:在阿姆斯特丹和赫尔辛基确定室内PM_(2.5)的来源

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Daily PM_(2.5) 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 PM_(2.5) 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 μg m~(-3)) and 22% (2.4 μg m~(-3)) in Amsterdam and Helsinki, respectively. The highest longitudinal correlations between source-specific outdoor and indoor PM_(2.5) 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 PM_(2.5) was not related to ambient concentrations. We conclude that using outdoor and indoor data together improved the source apportionment of indoor PM_(2.5). The results support the use of fixed site outdoor measurements in epidemiological time-series studies on outdoor air pollution.
机译:在荷兰阿姆斯特丹(33人)和芬兰赫尔辛基(44人)的老年人中,每天抽检PM_(2.5)样品(1至8次),这些患者是患有冠心病的老年非吸烟者。使用双向多线性发动机模型评估了室内PM_(2.5)的来源。由于室内元素数据缺少交通标志,因此尝试通过将室内数据与也包含NO的固定地点室外数据进行组合来分离与交通相关的PM。确定了六个室外污染源,包括远程运输(LRT),城市混合气,石油燃烧,交通,海盐和土壤,并解决了三个室内污染源:重悬浮,富钾和富铜源。在阿姆斯特丹和赫尔辛基,室内因子的平均贡献分别为6%(1.1μgm〜(-3))和22%(2.4μgm〜(-3))。对于轻快铁和城市混合气,特定来源的室外和室内PM_(2.5)浓度之间存在最高的纵向相关性;大多数来源的中位数R均高于0.6。赫尔辛基的纵向相关性低于阿姆斯特丹。室内产生的PM_(2.5)与环境浓度无关。我们得出的结论是,同时使用室外和室内数据可以改善室内PM_(2.5)的源分配。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地点的室外测量。

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