Rapid assessment methodology in NORM measurements from building materials of Uzbekistan

Safarov, A. A.; Safarov, A. N.; Azimov, A. N.; Darby, I. G.

doi:10.1016/j.jenvrad.2017.01.019

Cited by 9 publications

(1 citation statement)

References 9 publications

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“…Th and 40 K have been documented in many countries around the world [2][3][4][5][6][7][8][9][10][11][12][13][14]. The studies on the distribution of natural radioactivity and associated their radiological hazard assessment provide basic keys scientific values for radiation protection, radiological safety studies and reference background levels.…”

mentioning

confidence: 99%

Markov chain Monte Carlo sampling for accurate estimation of spatial distribution of naturally occurring radionuclides radiation (²³²Th, ⁴⁰K, and ²³⁸U) in Senegal

Dione

Mbaye

Dath

et al. 2020

Egyptian Journal of Basic and Applied Sciences

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An inaccurate quantification of the reference level of background radiation introduces an inherent statistical bias. Thus, it is necessary to develop a flexible and easy method for accurate characterization of naturally occurring radionuclides (NOR) reference background level in the mining area. In this paper, we propose the use of Bayesian modeling as an alternative statistics technique to study the spatial distribution of NOR. The Markov chain Monte Carlo (MCMC) approach is used to infer the statistical parameter of naturally occurring gammainduced radionuclides such as 232 Th, 40 K and 228 Ra. We used a bootstrapping method to obtain an accurate sub-sample and then exclude all potential outliers which are out of the Highest Density Interval (HDI). With the resampled sample, we build a model with a Bayesian statistics method with MCMC to draw an inference of the posterior distribution of the gamma-induced radionuclides.

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mentioning

confidence: 99%

Markov chain Monte Carlo sampling for accurate estimation of spatial distribution of naturally occurring radionuclides radiation (²³²Th, ⁴⁰K, and ²³⁸U) in Senegal

Dione

Mbaye

Dath

et al. 2020

Egyptian Journal of Basic and Applied Sciences

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Evaluation of radon hazards at the rural settlements of Uzbekistan

Safarov,

Khasanov

et al. 2023

Environ Monit Assess

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Measurement of NORM in geologic and building materials by pair measurement–gamma spectrometry

Lee

Hwang

Kim

et al. 2019

J Radioanal Nucl Chem

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Rapid assessment methodology in NORM measurements from building materials of Uzbekistan

Cited by 9 publications

References 9 publications

Markov chain Monte Carlo sampling for accurate estimation of spatial distribution of naturally occurring radionuclides radiation (²³²Th, ⁴⁰K, and ²³⁸U) in Senegal

Markov chain Monte Carlo sampling for accurate estimation of spatial distribution of naturally occurring radionuclides radiation (²³²Th, ⁴⁰K, and ²³⁸U) in Senegal

Evaluation of radon hazards at the rural settlements of Uzbekistan

Measurement of NORM in geologic and building materials by pair measurement–gamma spectrometry

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Rapid assessment methodology in NORM measurements from building materials of Uzbekistan

Cited by 9 publications

References 9 publications

Markov chain Monte Carlo sampling for accurate estimation of spatial distribution of naturally occurring radionuclides radiation (232Th, 40K, and 238U) in Senegal

Markov chain Monte Carlo sampling for accurate estimation of spatial distribution of naturally occurring radionuclides radiation (232Th, 40K, and 238U) in Senegal

Evaluation of radon hazards at the rural settlements of Uzbekistan

Measurement of NORM in geologic and building materials by pair measurement–gamma spectrometry

Contact Info

Product

Resources

About

Markov chain Monte Carlo sampling for accurate estimation of spatial distribution of naturally occurring radionuclides radiation (²³²Th, ⁴⁰K, and ²³⁸U) in Senegal

Markov chain Monte Carlo sampling for accurate estimation of spatial distribution of naturally occurring radionuclides radiation (²³²Th, ⁴⁰K, and ²³⁸U) in Senegal