Multivariate analysis of sediment data from the upper and middle Odra River (Poland) |
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| Authors: | Agnieszka Gielar,Edeltrauda Helios-Rybicka,Stefan Mö ller,Jü rgen W. Einax |
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| Affiliation: | 1. AGH University of Science and Technology, Faculty of Geology, Geophysics and Environment Protection, Pavilion A-0, Al.A. Mickiewicza 30, 30-059 Krakow, Poland;2. Friedrich Schiller University of Jena, Institute of Inorganic and Analytical Chemistry, Department of Environmental Analysis, Lessingstrasse 8, D-07743 Jena, Germany |
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| Abstract: | River pollution data are characterized by high variability. Multivariate statistical methods help to determine a complex set of these multidimensional data and to extract latent information (e.g. differently polluted areas, discharges). The chemometric methods can handle interactions between different pollutants and relationships among various sampling locations. This study presents an application of multivariate data analysis in the field of environmental pollution. The dataset consists of As, Cd, Cr, Cu, Fe, Ni, Mn, Pb and Zn contents of sediment samples collected in the upper and middle Odra River (Poland) in three sampling campaigns (November 1998, June 1999, and May 2000). As chemometric tools cluster analysis (CA), multivariate analysis of variance and discriminant analysis (MVDA) and factor analysis (FA) were used to investigate the matrix of 60 sampling points. |
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