Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis
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 (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.
Keywords:
principal component analysis / radionuclides / soils / classificationSource:
Journal of Environmental Radioactivity, 2006, 89, 2, 150-158Publisher:
- Elsevier Sci Ltd, Oxford
Funding / projects:
DOI: 10.1016/j.jenvrad.2006.05.002
ISSN: 0265-931X
PubMed: 16793182
WoS: 000239415700003
Scopus: 2-s2.0-33745859046
Institution/Community
Tehnološko-metalurški fakultetTY - JOUR AU - Dragović, Snežana D. AU - Onjia, Antonije PY - 2006 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/976 AB - A 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. PB - Elsevier Sci Ltd, Oxford T2 - Journal of Environmental Radioactivity T1 - Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis EP - 158 IS - 2 SP - 150 VL - 89 DO - 10.1016/j.jenvrad.2006.05.002 ER -
@article{ author = "Dragović, Snežana D. and Onjia, Antonije", year = "2006", 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 (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.", publisher = "Elsevier Sci Ltd, Oxford", journal = "Journal of Environmental Radioactivity", title = "Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis", pages = "158-150", number = "2", volume = "89", doi = "10.1016/j.jenvrad.2006.05.002" }
Dragović, S. D.,& Onjia, A.. (2006). Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis. in Journal of Environmental Radioactivity Elsevier Sci Ltd, Oxford., 89(2), 150-158. https://doi.org/10.1016/j.jenvrad.2006.05.002
Dragović SD, Onjia A. Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis. in Journal of Environmental Radioactivity. 2006;89(2):150-158. doi:10.1016/j.jenvrad.2006.05.002 .
Dragović, Snežana D., Onjia, Antonije, "Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis" in Journal of Environmental Radioactivity, 89, no. 2 (2006):150-158, https://doi.org/10.1016/j.jenvrad.2006.05.002 . .