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Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis

dc.creatorDragović, Snežana D.
dc.creatorOnjia, Antonije E.
dc.date.accessioned2018-03-01T19:51:50Z
dc.date.available2018-03-01T19:51:50Z
dc.date.issued2006
dc.identifier.issn0265-931X
dc.identifier.urihttps://vinar.vin.bg.ac.rs/handle/123456789/3050
dc.description.abstractA principal component analysis (PCA) was used for classification of soil samples from different locations in Serbia and Montenegro. Based on activities of radionuclides (Ra-226, U-238, U-235, K-40, Cs-134, Cs-131, Th-232 and Be-7) detected by gamma-ray spectrometry, the classification of soils according to their geographical origin was performed. Application of PCA to our experimental data resulted in satisfactory classification rate (86.0% correctly classified samples). The obtained results indicate that gamma-ray spectrometry in conjunction with PCA is a viable tool for soil classification. (c) 2006 Elsevier Ltd. All rights reserved.en
dc.rightsrestrictedAccessen
dc.sourceJournal of Environmental Radioactivityen
dc.subjectprincipal component analysisen
dc.subjectradionuclidesen
dc.subjectsoilsen
dc.subjectclassificationen
dc.titleClassification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysisen
dc.typearticleen
dcterms.abstractОњиа, Aнтоније; Драговић Снежана Д.;
dc.citation.volume89
dc.citation.issue2
dc.citation.spage150
dc.citation.epage158
dc.identifier.wos000239415700003
dc.identifier.doi10.1016/j.jenvrad.2006.05.002
dc.citation.rankM23
dc.identifier.pmid16793182
dc.identifier.scopus2-s2.0-33745859046


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