Centre for Environmental Risk Assessment and Remediation, Building 'X', University of South Australia, Mawson Lakes Boulevard, South Australia 5095, Australia.
Environ Monit Assess. 2012 Jun;184(6):3875-85. doi: 10.1007/s10661-011-2230-4. Epub 2011 Jul 26.
Principal component analysis (PCA) was used to provide an overview of the distribution pattern of polycyclic aromatic hydrocarbons (PAHs) and heavy metals in former manufactured gas plant (MGP) site soils. PCA is the powerful multivariate method to identify the patterns in data and expressing their similarities and differences. Ten PAHs (naphthalene, acenapthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene, pyrene, chrysene, benzo[a]pyrene) and four toxic heavy metals - lead (Pb), cadmium (Cd), chromium (Cr) and zinc (Zn) - were detected in the site soils. PAH contamination was contributed equally by both low and high molecular weight PAHs. PCA was performed using the varimax rotation method in SPSS, 17.0. Two principal components accounting for 91.7% of the total variance was retained using scree test. Principle component 1 (PC1) substantially explained the dominance of PAH contamination in the MGP site soils. All PAHs, except anthracene, were positively correlated in PC1. There was a common thread in high molecular weight PAHs loadings, where the loadings were inversely proportional to the hydrophobicity and molecular weight of individual PAHs. Anthracene, which was less correlated with other individual PAHs, deviated well from the origin which can be ascribed to its lower toxicity and different origin than its isomer phenanthrene. Among the four major heavy metals studied in MGP sites, Pb, Cd and Cr were negatively correlated in PC1 but showed strong positive correlation in principle component 2 (PC2). Although metals may not have originated directly from gaswork processes, the correlation between PAHs and metals suggests that the materials used in these sites may have contributed to high concentrations of Pb, Cd, Cr and Zn. Thus, multivariate analysis helped to identify the sources of PAHs, heavy metals and their association in MGP site, and thereby better characterise the site risk, which would not be possible if one uses chemical analysis alone.
主成分分析(PCA)用于提供前煤气厂(MGP)场地土壤中多环芳烃(PAHs)和重金属分布模式的概述。PCA 是一种强大的多元方法,可以识别数据中的模式,并表示它们的相似性和差异。在该场地土壤中检测到十种 PAHs(萘、苊烯、苊、芴、菲、蒽、荧蒽、芘、䓛、苯并[a]芘)和四种有毒重金属——铅(Pb)、镉(Cd)、铬(Cr)和锌(Zn)。PAH 污染是由低分子量和高分子量 PAHs 共同造成的。在 SPSS 17.0 中使用方差极大旋转法进行 PCA。使用 scree 测试保留了两个占总方差 91.7%的主要成分。主成分 1(PC1)实质上解释了 MGP 场地土壤中 PAH 污染的主导地位。除蒽外,所有 PAHs 在 PC1 中呈正相关。高分子量 PAHs 负荷中存在一条共同的线索,其中负荷与个别 PAHs 的疏水性和分子量成反比。与其他个别 PAHs 相关性较低的蒽,很好地偏离了原点,这可以归因于其毒性较低,以及与其异构体菲的起源不同。在 MGP 场地研究的四种主要重金属中,Pb、Cd 和 Cr 在 PC1 中呈负相关,但在主成分 2(PC2)中呈强正相关。尽管这些金属可能不是直接来自煤气厂的工艺,但 PAHs 和金属之间的相关性表明,这些场地中使用的材料可能导致 Pb、Cd、Cr 和 Zn 的浓度较高。因此,多元分析有助于识别 MGP 场地中 PAHs、重金属的来源及其关联,从而更好地描述场地风险,如果仅使用化学分析,则无法做到这一点。