Relationship among parameters of lake polluted sediments evaluated by multivariate statistical analysis

被引：74

作者：

De Bartolomeo, A ^{[1
]}

Poletti, L ^{[1
]}

Sanchini, G ^{[1
]}

Sebastiani, B ^{[1
]}

Morozzi, G ^{[1
]}

机构：

[1] Univ Perugia, Dipartimento Sci Biochim & Biotecnol Mol, Sez Sci Igienistiche & Ambientali, I-06126 Perugia, Italy

来源：

CHEMOSPHERE | 2004年 / 55卷 / 10期

关键词：

lake sediments; heavy metals; PAH; AVS; LAS; principal component analysis;

D O I：

10.1016/j.chemosphere.2003.12.005

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In the attempt to assess the relationship and interdependency among sediment toxic pollutants, in particular heavy metals, polycyclic aromatic hydrocarbons (PAH), and linear alkyl sulfonates (LAS) and some of the sediment typical components: inorganic carbon (IC), organic material (OM) and acid volatile sulphides (AVS), multivariate techniques of statistical analysis have been applied to a set of chemical data obtained by the analysis of the sediments of the Trasimeno Lake, a central Italy lake characterized by a large surface (128 km(2)) and a low mean depth (about 4.5 m). The results of principal component analysis (PCA) show interrelationships between: OM content and PAH, Pb, and Cu concentrations of the sediments, LAS and AVS, and AVS and IC. The effect of the different sampling periods on sediment composition and contamination level, and the clustering of the sampling sites as a consequence of pollutant load are also shown. The principal component bi-plot of the variables and samples indicates that PAH have the greatest influence on the separation of samples in the different sampling periods. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：1323 / 1329

页数：7

共 22 条

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