Department of Energy and Environment, Instituto de Carboquímica (ICB-CSIC), Zaragoza 50018, Spain.
Environ Pollut. 2013 Dec;183:166-74. doi: 10.1016/j.envpol.2012.11.009. Epub 2012 Dec 11.
The total PAH associated to the airborne particulate matter (PM10) was apportioned by one receptor model based on positive matrix factorization (PMF) in an urban environment (Zaragoza city, Spain) during February 2010-January 2011. Four sources associated with coal combustion, gasoline, vehicular and stationary emissions were identified, allowing a good modelling of the total PAH (R(2) = 0.99). A seasonal behaviour of the four factors was obtained with higher concentrations in the cold season. The NE direction was one of the predominant directions showing the negative impact of industrial parks, a paper factory and a highway located in that direction. Samples were classified according to hierarchical cluster analysis obtaining that, episodes with the most negative impact on human health (the highest lifetime cancer risk concentrations), were produced by a higher contribution of stationary and vehicular emissions in winter season favoured by high relative humidity, low temperature and low wind speed.
在 2010 年 2 月至 2011 年 1 月期间,我们在西班牙萨拉戈萨市的城市环境中,利用基于正矩阵因子分解(PMF)的受体模型,对空气中的可吸入颗粒物(PM10)所携带的总多环芳烃(PAH)进行了分配。该模型共识别出与煤炭燃烧、汽油、机动车和固定污染源相关的 4 种来源,可较好地模拟总多环芳烃(R(2) = 0.99)。4 种来源的季节性行为表现为在寒冷季节浓度较高。东北方向是主要方向之一,表明工业园区、一家造纸厂和一条位于该方向的高速公路产生了负面影响。我们还根据分层聚类分析对样本进行了分类,结果表明,在冬季高相对湿度、低温和低风速条件下,固定源和机动车排放贡献较大时,最容易对人体健康产生负面影响(即存在最高终生致癌风险浓度)。