2013
DOI: 10.1016/j.jenvrad.2011.12.023
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Correlations of natural radionuclides in soil with those in sediment from the Danube and nearby irrigation channels

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Cited by 18 publications
(5 citation statements)
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“…The specific levels of natural radionuclides are mostly related to the type of rock or soil from which the sediments originates (Krmar et al, 2013). 238 U, 232 Th, 226 Ra and 40 K all have very long half-lives ( 226 Ra has the shortest half-life of 1600 years), which means the variation of activity concentrations in the sediment can only be caused by different material inputs and migrations of radioelements after deposition.…”
Section: Associations Between Radionuclides and Geochemical Variablesmentioning
confidence: 99%
“…The specific levels of natural radionuclides are mostly related to the type of rock or soil from which the sediments originates (Krmar et al, 2013). 238 U, 232 Th, 226 Ra and 40 K all have very long half-lives ( 226 Ra has the shortest half-life of 1600 years), which means the variation of activity concentrations in the sediment can only be caused by different material inputs and migrations of radioelements after deposition.…”
Section: Associations Between Radionuclides and Geochemical Variablesmentioning
confidence: 99%
“…Two hundred gram each of the grounded samples were sealed in air tight plastic containers to avoid the escape of 222 Ra and 220 Rn and were stored for more than 4 weeks before measurement so as to attain secular equilibrium. [12] Gamma spectrometric measurements were made with a low-background Pb shielded 760 mm × 760 mm NaI (Tl) detector (Model 802 series by Bicron) optically coupled to a photomultiplier tube. The detector is interfaced with a Canberra series 10 plus multi-channelled analyzer (model: 1104).…”
Section: Methodsmentioning
confidence: 99%
“…Hotspot analysis, which is generally used to identify the spatial clustering patterns of regional hotspots and cold spots, has been more and more widely used in studies related to ESPs, and thus hotspot analysis was utilized to recognize the spatial distribution patterns of hotspots within the study area (Li et al, 2022; Mtshawu et al, 2023). Taking these small patches as research objects, taking their geographic centers, and using their areas as weights for hotspot analysis, hotspots can be identified when the z ‐value is >1.96 (95% confidence level) (Li et al, 2022).…”
Section: Esps Identification Frameworkmentioning
confidence: 99%