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Research Articles
Chemometric Characterization of Soil and Plant Pollution:
Part 1: Multivariate Data Analysis and Geostatistical Determination of Relationship and Spatial Structure of Inorganic Contaminants in Soil
Marko Zupan; Jürgen Einax; Jörg Kraft; Franc Lobnik; Vida Hudnik
Corresponding author:: Marko Zupan, Center for Soil and Environmental Science, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia; e-mail: marko.zupan@bf.uni-lj.si
DOI: http://dx.doi.org/10.1065/espr199910.008 --- Geostatistical and multivariate methods of data analysis are used to describe patterns of soil pollution with inorganic contaminants in Celje County, Slovenia. Groups of contaminants and polluted sites were identified using cluster analysis and confirmed with multidimensional variance and discriminant analysis. Factor analysis yields an identification of not directly observable relationships between the contaminants. The spatial structure and distribution of contaminants were assessed by applying semivariogram analysis and kriging interpolation method. Zinc, Cd and Cu were identified as a pollutant emitted from the zinc smelter, Pb also from other sources, and Cr and Ni mostly from geological parent material. | | Keywords: Cadmium; chromium; cluster analysis; copper; discriminant analysis; factor analysis; geostatistical methods of data analysis; heavy metals; inorganic contaminants in soil; kriging; lead; multidimensional variance; multivariate data analysis; nickel; plant pollution; semivariogram analysis; soil pollution; zinc smelter |
7 ESPR (2) 89-96 (2000)
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