Multivariate statistical assessment of polluted soils

摘要: This study deals with the application of several multivariate statistical methods (cluster analysis, principal components multiple regression on absolute scores) for assessment soil pollution by heavy metals. The sampling was performed in a heavily polluted region and chemometric analysis revealed four latent factors, which describe 84.5 % total variance system, responsible data structure. These whose identity proved also cluster were conditionally named “ore specific”, “metal industrial”, “cement “steel production” factors. Further, contribution each identified factor to metal pollutant consideration determined.