Relationship among parameters of lake polluted sediments evaluated by multivariate statistical analysis.
作者： A De Bartolomeo , L Poletti , G Sanchini , B Sebastiani , G Morozzi
DOI: 10.1016/J.CHEMOSPHERE.2003.12.005
关键词: Principal component analysis 、 Total inorganic carbon 、 Pollutant 、 Environmental science 、 Geologic Sediments 、 Mineralogy 、 Water pollution 、 Sediment 、 Sampling (statistics) 、 Multivariate statistics 、 Environmental chemistry
摘要: In the attempt to assess relationship and interdependency among sediment toxic pollutants, in particular heavy metals, polycyclic aromatic hydrocarbons (PAH), linear alkyl sulfonates (LAS) some of typical components: inorganic carbon (IC), organic material (OM) acid volatile sulphides (AVS), multivariate techniques statistical analysis have been applied a set chemical data obtained by sediments Trasimeno Lake, central Italy lake characterized large surface (128 km(2)) low mean depth (about 4.5 m). The results principal component (PCA) show interrelationships between: OM content PAH, Pb, Cu concentrations sediments, LAS AVS, AVS IC. effect different sampling periods on composition contamination level, clustering sites as consequence pollutant load are also shown. bi-plot variables samples indicates that PAH greatest influence separation periods.
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