Amarillo Ana C, Mateos Ana C, Carreras Hebe
Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET, Córdoba, Argentina.
Chemistry Department, FCEFyN, Universidad Nacional de Córdoba, Av. Vélez Sarsfield 1611, X5016 GCA, Córdoba, Argentina.
Arch Environ Contam Toxicol. 2017 Apr;72(3):380-390. doi: 10.1007/s00244-017-0384-y. Epub 2017 Mar 3.
The composition and concentration of polycyclic aromatic hydrocarbons (PAHs) adsorbed on particles smaller than 10 microns (PM) were analyzed in an urban area during a 2-year period from August 2011 to August 2013. Diagnostic ratios (DR) and positive matrix factorization (PMF) were employed to assess emission sources. To discount weather influence, a multiple linear regression model was generated and also a photodecomposition index was calculated for each sample. Despite the fact that mean PM levels showed a similar pattern all around the year, majority of PAHs showed higher concentrations during the cold than the warm period, indicating a strong seasonal variation. A 38% of PAHs variation could be explained by meteorological variables, with wind speed, wind direction, and dew point being the significant regressor variables in the model. The source apportionment of PAHs was performed using PMF although they are photosensitive compounds. The sampling period was separated in warm and cold seasons according to a photodecomposition index and cold period was used. Also, DR were calculated. DR as well as PMF analysis suggested that both gasoline and diesel vehicular emissions are the main PAHs emission sources in this urban area.
在2011年8月至2013年8月的两年期间，对某城市地区小于10微米颗粒物（PM）上吸附的多环芳烃（PAHs）的组成和浓度进行了分析。采用诊断比值（DR）和正定矩阵因子分解法（PMF）来评估排放源。为了消除天气影响，建立了多元线性回归模型，并为每个样本计算了光分解指数。尽管PM的年均水平呈现出相似的模式，但大多数PAHs在寒冷季节的浓度高于温暖季节，表明存在强烈的季节变化。38%的PAHs变化可以由气象变量解释，风速、风向和露点是该模型中的显著回归变量。尽管PAHs是光敏化合物，但仍使用PMF进行PAHs的源解析。根据光分解指数将采样期分为温暖季节和寒冷季节，并使用寒冷季节的数据。同时，计算了DR。DR以及PMF分析表明，汽油和柴油车辆排放都是该城市地区PAHs的主要排放源。
