2006
DOI: 10.1016/j.jenvrad.2006.05.002
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Classification of soil samples according to their geographic origin using gamma-ray spectrometry and principal component analysis

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Cited by 74 publications
(25 citation statements)
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“…Fundamental descriptive statistics of examined parameters are given in Table 6. The standard deviation was the greatest for 40 K, as similarly reported by Dragović and Onjia (2006) in SerbiaMontenegro, and the smallest for 232 Th. For this reason, it could be postulated that 40 K is specifically elevated possibly due to agricultural activities especially in the southern (plain) zone of the study area on both sides of canals (Fig.…”
Section: Radionuclide Concentrationsupporting
confidence: 82%
“…Fundamental descriptive statistics of examined parameters are given in Table 6. The standard deviation was the greatest for 40 K, as similarly reported by Dragović and Onjia (2006) in SerbiaMontenegro, and the smallest for 232 Th. For this reason, it could be postulated that 40 K is specifically elevated possibly due to agricultural activities especially in the southern (plain) zone of the study area on both sides of canals (Fig.…”
Section: Radionuclide Concentrationsupporting
confidence: 82%
“…Its concentration in the environment depends on the type of rocks from which soil originates. This causes significant differences in concentrations of particular nuclides (Dragović and Onjia 2006). For example, radioactivities of 40 K and 226 Ra in the Northern Europe ranged between 140 and 1150 Bq/kg as well as 6 and 310 Bq/kg, respectively (UNSCEAR 2000).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, because of advances in analytical instrumentation, it is now possible to generate large data sets that are difficult to evaluate using simple univariate statistical methods, especially due to their complexity and to their multivariate nature (Luo, 2006). Consequently, multivariate methods have been widely applied to investigate and interpret the large amounts of data generated by current spectrometric methods (Bagur-González et al, 2009;Dragovic and Onjia, 2006). Therefore, synergies obtained by the simultaneous study of multivariate statistics and elemental composition data, allow robust interpretations in geochemical and geological aspects (Gallego et al, 2013;Sielaff and Einas, 2007).…”
Section: Introductionmentioning
confidence: 99%