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Journal
2005 | 3 | 1 | 1-9
Article title

Multivariate statistical assessment of polluted soils

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Languages of publication
EN
Abstracts
EN
This study deals with the application of several multivariate statistical methods (cluster analysis, principal components analysis, multiple regression on absolute principal components scores) for assessment of soil pollution by heavy metals. The sampling was performed in a heavily polluted region and the chemometric analysis revealed four latent factors, which describe 84.5 % of the total variance of the system, responsible for the data structure. These factors, whose identity was proved also by cluster analysis, were conditionally named “ore specific”, “metal industrial”, “cement industrial”, and “steel production” factors. Further, the contribution of each identified factor to the total pollution of the soil by each metal pollutant in consideration was determined.
Publisher
Journal
Year
Volume
3
Issue
1
Pages
1-9
Physical description
Dates
published
1 - 3 - 2005
online
1 - 3 - 2005
References
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  • [15] J. Einax and U. Soldt: “Geostatistical Investigation of Polluted Soild”, Fresenius Journal of Analytical Chemistry, Vol. 351, (1995), pp. 48–53. http://dx.doi.org/10.1007/BF00324291[Crossref]
Document Type
Publication order reference
YADDA identifier
bwmeta1.element.-psjd-doi-10_2478_BF02476233
Identifiers
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