Source apportionment of PAH in Hamilton Harbour suspended sediments: comparison of two factor analysis methods.
Source apportionment of PAH in Hamilton Harbour suspended sediments: comparison of two factor analysis methods.
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DOI：
10.1021/es800219z
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发表时间：
2008-07
影响因子：
11.4
通讯作者：
Uwayemi M. Sofowote;B. McCarry;C. Marvin
中科院分区：
文献类型：
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作者：
Uwayemi M. Sofowote;B. McCarry;C. Marvin
对加拿大安大略省汉密尔顿港及其周围小溪5年来采集的26个悬浮沉积物样本进行了一系列多环芳烃和硫杂环的分析。由于工业和移动污染源的排放，汉密尔顿港沉积物中含有相对较高水平的多环芳烃和重金属。比较了两种基于因子分析的受体建模方法：主成分分析(PCA)结合多元线性回归分析(MLR)和正矩阵分解法(PMF)。这两种方法都确定了四个因素，并在25种芳香族化合物的预测值和实测值之间给出了良好的相关系数；两种方法预测的煤焦油/煤燃烧源对港口的贡献相似(分别为19%和26%)。一个主成分分析因子被确定为来自车辆排放的贡献(61%)；PMF能够将车辆排放区分为两个因素，一个来自汽油排放(28%)，另一个来自柴油排放(24%)。总体而言，PMF比使用MLR的主成分分析提供了更好的来源识别。这项工作是将PMF应用于沉积物来源解析的为数不多的例子之一；在分析物清单中添加硫杂环极大地有助于来源鉴定过程。
A total of 26 suspended sediment samples collected over a 5-year period in Hamilton Harbour, Ontario, Canada and surrounding creeks were analyzed for a suite of polycyclic aromatic hydrocarbons and sulfur heterocycles. Hamilton Harbour sediments contain relatively high levels of polycyclic aromatic compounds and heavy metals due to emissions from industrial and mobile sources. Two receptor modeling methods using factor analyses were compared to determine the profiles and relative contributions of pollution sources to the harbor; these methods are principal component analyses (PCA) with multiple linear regression analysis (MLR) and positive matrix factorization (PMF). Both methods identified four factors and gave excellent correlation coefficients between predicted and measured levels of 25 aromatic compounds; both methods predicted similar contributions from coal tar/coal combustion sources to the harbor (19 and 26%, respectively). One PCA factor was identified as contributions from vehicular emissions (61%); PMF was able to differentiate vehicular emissions into two factors, one attributed to gasoline emissions sources (28%) and the other to diesel emissions sources (24%). Overall, PMF afforded better source identification than PCA with MLR. This work constitutes one of the few examples of the application of PMF to the source apportionment of sediments; the addition of sulfur heterocycles to the analyte list greatly aided in the source identification process.