| Literature DB >> 16793182 |
Snezana Dragović1, Antonije Onjia.
Abstract
A principal component analysis (PCA) was used for classification of soil samples from different locations in Serbia and Montenegro. Based on activities of radionuclides ((226)Ra, (238)U, (235)U, (40)K, (134)Cs, (137)Cs, (232)Th and (7)Be) 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.Mesh:
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Year: 2006 PMID: 16793182 DOI: 10.1016/j.jenvrad.2006.05.002
Source DB: PubMed Journal: J Environ Radioact ISSN: 0265-931X Impact factor: 2.674