Characterization of high background radiation of terrestrial naturally occurring radionuclides in a mining region of Senegal

Mamadou Lamine Sane; Modou MBAYE; Djicknack Dione; Ahmadou Wague; Mamadou Lamine Sane; Modou MBAYE; Djicknack Dione; Ahmadou Wague

doi:10.3934/environsci.2019.6.472

AIMS Environmental Science

2019, Volume 6, Issue 6: 472-482. doi: 10.3934/environsci.2019.6.472

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Research article

Characterization of high background radiation of terrestrial naturally occurring radionuclides in a mining region of Senegal

Institute of Applied Nuclear Technology, Faculty of Sciences and Techniques, University of Cheikh Anta Diop, P. O. Box 5005, Dakar, Senegal

Received: 31 August 2019 Accepted: 20 November 2019 Published: 04 December 2019

A survey of natural radioactivity has been carried out to estimate the concentration of naturally occurring radionuclides and radiological risk associated in the south East mining region, which present high natural background radiation. An in-situ gamma-ray spectrometer was used to map natural environmental gamma-emitting radionuclides. A combined inferential statistical and chemometrics of naturally occurring radionuclides were used for data modelling and characterization. The radiological data surveys were explored using inferential statistical, principal component analysis and a supervised support vector machine learning. First, one-way Analysis of variance, on-parametric Kruskal Wallis test, was applied allowing pairwise comparison of radionuclides levels in sampling sites, second, data was submitted to PCA to extract noise-free data and reduced data was analyzed with support vector machine. PCA results show that ²³⁸U contribution (56%) is dominant in the first principal component with ⁴⁰K (35%). The second component, with the cumulative variance explained of 88%, is dominated by ²³²Th (68%) and ⁴⁰K (31%). Anova indicates that there is a significant difference in the mean mass concentration of samples type and soil activities are mostly lower. The best classification accuracy was 100% with the use of radial kernel density function. As potential uranium and gold mine site, these results will allow establishing both reference values for background radiation of the region and fingerprinting sources of naturally occurring radionuclides.
- Potassium-40,
- Thorium-232,
- Uranium-238,
- gamma spectrometry,
- radiological hazard
Citation: Mamadou Lamine Sane, Modou MBAYE, Djicknack Dione, Ahmadou Wague. Characterization of high background radiation of terrestrial naturally occurring radionuclides in a mining region of Senegal[J]. AIMS Environmental Science, 2019, 6(6): 472-482. doi: 10.3934/environsci.2019.6.472

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Abstract

A survey of natural radioactivity has been carried out to estimate the concentration of naturally occurring radionuclides and radiological risk associated in the south East mining region, which present high natural background radiation. An in-situ gamma-ray spectrometer was used to map natural environmental gamma-emitting radionuclides. A combined inferential statistical and chemometrics of naturally occurring radionuclides were used for data modelling and characterization. The radiological data surveys were explored using inferential statistical, principal component analysis and a supervised support vector machine learning. First, one-way Analysis of variance, on-parametric Kruskal Wallis test, was applied allowing pairwise comparison of radionuclides levels in sampling sites, second, data was submitted to PCA to extract noise-free data and reduced data was analyzed with support vector machine. PCA results show that ²³⁸U contribution (56%) is dominant in the first principal component with ⁴⁰K (35%). The second component, with the cumulative variance explained of 88%, is dominated by ²³²Th (68%) and ⁴⁰K (31%). Anova indicates that there is a significant difference in the mean mass concentration of samples type and soil activities are mostly lower. The best classification accuracy was 100% with the use of radial kernel density function. As potential uranium and gold mine site, these results will allow establishing both reference values for background radiation of the region and fingerprinting sources of naturally occurring radionuclides.

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