基于碳氢化合物色谱分析和主成分分析的海洋环境样品分类

H. Lamparczyk, R.J. Ochocka, J. Grzybowski, J. Halkiewicz, A. Radecki
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引用次数: 14

摘要

测定了波罗的海南部60个沉积物和水样中多环芳烃(菲、蒽、氟蒽、芘、苯(a)蒽/芘、苯(a)芘、苯(e)芘/苝、苯(k)氟蒽和苯(hi)苝)的浓度以及正十六烷(C-16)至正多三康烷(C-32)的正烷烃浓度。由于碳氢化合物浓度本身不能用于海洋环境污染的估计,因此利用主成分分析(PCA)对数据矩阵进行多元分类和比较。研究了主成分得分值与采样区域地理位置的关系。对上述参数在海洋环境污染估计中的作用提出了一些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of marine environment samples based on chromatographic analysis of hydrocarbons and principal component analysis

The concentration of polycyclic aromatic hydrocarbons (phenanthrene, anthracene, fluoranthene, pyrene, benz(a)anthracene/chrysene, benzo(a)pyrene, benzo(e)pyrene/perylene, benzo(k)fluoranthene and benzo(ghi)perylene) and n-alkanes ranging from n-hexadecane (C-16) to n-dotriacontane (C-32) in sixty sediment and water samples from the southern Baltic Sea were determined. Since hydrocarbon concentration itself cannot be used for estimation of marine environment pollution, multivariate classification and comparison using principal component analysis (PCA) has been made on the data matrices. The connection of the principal component score values with the geography of the sampling area was investigated. Some suggestions on the usefullness of the aforementioned parameters for the estimation of marine environment contamination are given.

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