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Source Apportionment of PAHs Using Two Mathematical Models for Mangrove Sediments in Shantou Coastal Zone, China

机译:汕头沿海地区红树林沉积物两种数学模型的多环芳烃源分配

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Thirty-five surface sediment samples collected from three mangroves in Shantou coastal zone, China in 2007 were analyzed for a suite of polycyclic aromatic hydrocarbons (PAHs). Two mathematical models were used to determine the profiles and relative contributions of PAH sources to the mangroves. The two models are principal component analyses (PCA) with multiple linear regression analysis (MLR) and positive matrix factorization (PMF). Both models identified five factors and gave excellent correlation coefficients between predicted and measured levels of 16 PAH compounds, but the results had some differences. The PAH contribution rate attributed to vehicular emission sources identified by PCA-MLR was 37.20%, but the rate identified by PMF was only 12.37%. The main sources identified by PCA-MLR were combination of biomass/coal combustion and vehicular emissions, whereas the main source identified by PMF was only biomass/coal combustion. The PMF analysis was the preferred model for the paper data set.
机译:分析了2007年从中国汕头沿海地区的3个红树林中收集的35个地表沉积物样本,以求得一套多环芳烃(PAHs)。使用两个数学模型来确定PAH源对红树林的剖面和相对贡献。这两个模型是主成分分析(PCA),多元线性回归分析(MLR)和正矩阵分解(PMF)。两种模型都识别出五个因素,并给出了16种PAH化合物的预测水平与实测水平之间的出色相关系数,但结果存在一些差异。 PCA-MLR识别出的由车辆排放源引起的PAH贡献率为37.20%,而PMF识别出的PAH贡献率仅为12.37%。 PCA-MLR识别的主要来源是生物质/煤燃烧和车辆排放的组合,而PMF识别的主要来源仅是生物质/煤燃烧。 PMF分析是纸张数据集的首选模型。

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