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两种受体模型在西班牙萨拉戈萨市空气中 PM10 来源解析中有机和无机标记物的影响。

Influence of organic and inorganic markers in the source apportionment of airborne PM10 in Zaragoza (Spain) by two receptor models.

机构信息

Instituto de Carboquímica (ICB-CSIC), Miguel Luesma Castán, 4, 50018 Zaragoza, Spain.

出版信息

Environ Sci Pollut Res Int. 2013 May;20(5):3240-51. doi: 10.1007/s11356-012-1241-1. Epub 2012 Oct 23.

Abstract

Improving knowledge on the apportionment of airborne particulate matter will be useful to handle and fulfill the legislation regarding this pollutant. The main aim of this work was to assess the influence of markers in the source apportionment of airborne PM10, in particular, whether the use of particle polycyclic aromatic hydrocarbon (PAH) and ions provided similar results to the ones obtained using not only the mentioned markers but also gas phase PAH and trace elements. In order to reach this aim, two receptor models: UNMIX and positive matrix factorization were applied to two sets of data in Zaragoza city from airborne PM10, a previously reported campaign (2003-2004) (Callén et al. Chemosphere 76:1120-1129, 2009), where PAH associated to the gas and particle phases, ions and trace elements were used as markers and a long sampling campaign (2001-2009), where only PAH in the particle phase and ions were analyzed. For both campaigns, positive matrix factorization was able to explain a higher number of sources than the UNMIX model. Independently of the sampling campaign and the receptor model used, soil resuspension was the main PM10 source, especially in the warm period (21st March-21st September), where most of the PM10 exceedances were produced. Despite some of the markers of anthropogenic sources were different for both campaigns, common sources associated to different combustion sources (coal, light-oil, heavier-oil, biomass, and traffic) were found and PAH in particle phase and ions seemed to be good markers for the airborne PM10 apportionment.

摘要

提高对空气颗粒物分配的认识将有助于处理和履行有关该污染物的法规。这项工作的主要目的是评估标记物在空气 PM10 源分配中的影响,特别是使用颗粒多环芳烃 (PAH) 和离子是否会提供与不仅使用上述标记物而且还使用气相 PAH 和微量元素获得的结果相似的结果。为了达到这个目的,应用了两种受体模型:UNMIX 和正矩阵因子分解,对来自 Zaragoza 市空气中 PM10 的两组数据进行了分析,这是先前报道的一次活动(2003-2004 年)(Callén 等人,《Chemosphere》76:1120-1129, 2009),其中气相和颗粒相中的 PAH、离子和微量元素被用作标记物,以及一次长时间的采样活动(2001-2009 年),仅分析了颗粒相中的 PAH 和离子。对于这两个活动,正矩阵因子分解能够解释比 UNMIX 模型更多的源。独立于采样活动和使用的受体模型,土壤再悬浮是 PM10 的主要来源,特别是在温暖时期(3 月 21 日至 9 月 21 日),大部分 PM10 超标都是在此期间产生的。尽管两个活动中的一些人为源标记物不同,但发现了与不同燃烧源(煤、轻质油、重质油、生物质和交通)相关的共同来源,并且颗粒相中的 PAH 和离子似乎是空气 PM10 分配的良好标记物。

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