Vapor-phase chromatographic separation and gamma-ray spectrometric analysis of gaseous effluents of the VVR-M reactor

1966 ◽  
Vol 21 (5) ◽  
pp. 1110-1112
Author(s):  
V. A. Solov'ev ◽  
O. V. Stepanets ◽  
V. D. Trenin
Keyword(s):  
Vapor Phase ◽  
Chromatographic Separation ◽  
Gamma Ray ◽  
Spectrometric Analysis

Gamma-Ray Spectrometric Analysis of Some Trace Elements in the Human Articular Disc of the Mandible

1963 ◽  
Vol 03 (02) ◽  
pp. 175-182 ◽  
Author(s):  
Bo Bergman ◽  
Rune Söremark
Keyword(s):  
Trace Elements ◽  
Neutron Activation ◽  
Quantitative Data ◽  
Thermal Neutron Flux ◽  
Gamma Ray ◽  
Dry Weight ◽  
Gamma Ray Spectrometry ◽  
Spectrometric Analysis ◽  
Articular Disc ◽  
Group Separation

SummaryBy means of neutron activation and gamma-ray spectrometry the concentrations in the human mandibular articular disc of the following elements have been determined: Na, Mn, Cu, Zn, Rb, Sr, Cd, W, and Au. The discs were obtained at necropsy from seven men and nine women, ranging in age from 56 to 71 years.The activation was carried out in a thermal neutron flux of about 1.7 XlO12 neutrons × cm−2 × sec.−1 for about 20 hours. A chemical group separationwas performed before the gamma-ray spectrometry. Quantitative data based on the dry weight of the cartilage samples were obtained by comparing the photo-peak area of the identified elements with those of appropriate standards.

scholarly journals VZTAH MEZI PŘIROZENOU RADIOAKTIVITOU HORNIN A PŮD NA NICH VYTVOŘENÝCH – ZÁKLADNÍ PROBLÉM INTERPRETACE DAT ZÍSKANÝCH LETECKOU A TERÉNNÍ GAMASPEKTROMETRIÍ

2016 ◽  
Vol 22 (1-2) ◽  
Author(s):  
Jiří Zimák
Keyword(s):  
Natural Radioactivity ◽  
Gamma Ray ◽  
Natural Radionuclides ◽  
Size Fraction ◽  
Mineralogical Composition ◽  
Gamma Ray Spectrometry ◽  
Spectrometric Analysis ◽  
Radiation Dose Rate ◽  
Parent Rocks ◽  
Mass Activity

The objective of this study was to assess the amount of natural radionuclides in fresh parent rocks and their effect on natural radioactivity of soils developed from them. Forty-five fresh rocks consisting mainly of granitoids, syenitoids, acid to basic metavolcanites, mica schists, gneisses, quartzites, serpentinites, sandstones, graywackes, and limestones and their corresponding overlying soils were sampled for laboratory gamma-ray spectrometric analysis. Contents of potassium, uranium and thorium were converted to mass activity of 226Ra equivalent (am) and terrestrial gamma radiation dose rate (D). Data are tabled and discussed. The highest am values occured in syenitoids (386–441 Bq·kg-1) followed by granitoids, mica schists, greywackes and gneisses, whereas the lowest am values were found in quartzose sandstones (15–36 Bq·kg-1) followed by limestones (less than 15 Bq·kg-1) and serpentinites (less than 6 Bq·kg-1). The natural radioactivity of soils is usually slightly lower than that of parent rocks due to the lower content of potassium, uranium and thorium in soils. This is typical for granitoids, syenitoids and rocks of similar mineralogical composition. In soils developed on granitoids and syenitoids were found increased concentrations of all three elements in the grain size fraction below 0.063 mm. Soils developed on rocks with low natural radioactivity (such as limestones and serpentinites) tend to have significantly higher natural radioactivity than their parent rocks. This may complicate the interpretation of data obtained by airborne gamma-ray spectrometry.

ESTIMATION OF RADIOLOGICAL HAZARDS DUE TO NATURAL RADIONUCLIDES FROM THE ROSTERMAN GOLD MINE TAILINGS, LURAMBI, KAKAMEGA, KENYA

2020 ◽  
Vol 190 (3) ◽  
pp. 324-330
Author(s):  
C K Wanyama ◽  
F W Masinde ◽  
J W Makokha ◽  
S M Matsitsi
Keyword(s):  
Gamma Ray ◽  
Natural Radionuclides ◽  
Absorbed Dose ◽  
Spectrometric Analysis ◽  
Gold Mine ◽  
Absorbed Dose Rate ◽  
Radiological Hazards ◽  
Naturally Occurring Radionuclides ◽  
Gold Mine Tailings ◽  
Radiological Health

Abstract Radiological hazards associated with naturally occurring radionuclides in materials from Rosterman gold mine were assessed by analysis of 30 samples. The gamma-ray spectrometric analysis of tailing samples reported an average activity concentration of 263 ± 13, 123 ± 6 and 84 ± 4 Bq kg−1 for 40K, 232Th and 226Ra, respectively. The average absorbed dose rate was 124 ± 6 nGy h−1, while the annual effective dose of 0.4 ± 0.02 mSv y−1 for indoor and 0.3 ± 0.01 mSv y−1 for outdoor were reported. The mean and range of radiological parameters (external and radium equivalent) calculated from the tailing samples were within the permissible limits and hence mining of gold at Rosterman has no significant radiological health implication on the miners and the surrounding population.

Quality assurance of automated gamma-ray spectrometric analysis

2000 ◽  
Vol 53 (1-2) ◽  
pp. 237-241 ◽  
Author(s):  
D. Glavič-Cindro ◽  
M. Korun ◽  
B. Vodenik
Keyword(s):  
Quality Assurance ◽  
Gamma Ray ◽  
Spectrometric Analysis

Determination of the optimal cylindrical geometry heights for gamma-ray spectrometric analysis

2014 ◽  
Vol 70 ◽  
pp. 34-38 ◽  
Author(s):  
R. Shweikani ◽  
M. Hasan ◽  
M. Tlas ◽  
A.W. Doubal
Keyword(s):  
Gamma Ray ◽  
Cylindrical Geometry ◽  
Spectrometric Analysis

scholarly journals Neural networks in analysing 137Cs behaviour in the air in the Belgrade area

2014 ◽  
Vol 29 (3) ◽  
pp. 226-232
Author(s):  
Aleksandra Samolov ◽  
Snezana Dragovic ◽  
Marko Dakovic ◽  
Goran Bacic
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Meteorological Parameters ◽  
Gamma Ray ◽  
Specific Activity ◽  
Meteorological Data ◽  
Principal Component ◽  
Spectrometric Analysis ◽  
Specific Activities ◽  
Artificial Neural

The application of the principal component analysis and artificial neural network method in forecasting 137Cs behaviour in the air as the function of meteorological parameters is presented. The model was optimized and tested using 137Cs specific activities obtained by standard gamma-ray spectrometric analysis of air samples collected in Belgrade (Serbia) during 2009-2011 and meteorological data for the same period. Low correlation (r = 0.20) between experimental values of 137Cs specific activities and those predicted by artificial neural network was obtained. This suggests that artificial neural network in the case of prediction of 137Cs specific activity, using temperature, insolation, and global Sun warming does not perform well, which can be explained by the relative independence of 137Cs specific activity of particular meteorological parameters and not by the ineffectiveness of artificial neural network in relating these parameters in general.

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