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Correlation analysis of the natural radionuclides in soil and indoor radon in Vojvodina, Province of Serbia

Authorized Users Only
2017
Authors
Forkapić, S.
Maletić, D.
Vasin, Jovica
Bikit, K.
Mrdja, D.
Bikit, Ištvan S.
Udovicić, V.
Banjanac, R.
Article (Published version)
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Abstract
The most dominant source of indoor radon is the underlying soil, so the enhanced levels of radon are usually expected in mountain regions and geology units with high radium and uranium content in surface soils. Laboratory for radioactivity and dose measurement, Faculty of Sciences, University of Novi Sad has rich databases of natural radionuclides concentrations in Vojvodina soil and also of indoor radon concentrations for the region of Vojvodina, Northern Province of Serbia. In this paper we present the results of correlative and multivariate analysis of these results and soil characteristics in order to estimate the geogenic radon potential. The correlative and multivariate analysis were done using Toolkit for Multivariate Analysis software package TMVA package, within ROOT analysis framework, which uses several comparable multivariate methods for our analysis. The evaluation ranking results based on the best signal efficiency and purity, show that the Boosted Decision Trees (BDT) an...d Multi Layer Preceptor (MLP), based on Artificial Neural Network (ANN), are multivariate methods which give the best results in the analysis. The BDTG multivariate method shows that variables with the highest importance are radionuclides activity on 30 cm depth. Moreover, the multivariate regression methods give a good approximation of indoor radon activity using full set of input variables. On several locations in the city of Novi Sad the results of indoor radon concentrations, radon emanation from soil, gamma spectrometry measurements of underlying soil and geology characteristics of soil were analyzed in detail in order to verify previously obtained correlations for Vojvodina soil.

Keywords:
Radon / Soil characteristics / Correlative and multivariate analysis
Source:
Journal of Environmental Radioactivity, 2017, 166, 403-411
Publisher:
  • Elsevier Sci Ltd, Oxford
Funding / projects:
  • Biosensing Technologies and Global System for Long-Term Research and Integrated Management of Ecosystems (RS-43002)
  • Nuclear methods in rare event and cosmic-ray research (RS-171002)

DOI: 10.1016/j.jenvrad.2016.07.026

ISSN: 0265-931X

PubMed: 27477915

WoS: 000390073700019

Scopus: 2-s2.0-84979765652
[ Google Scholar ]
15
11
URI
http://fiver.ifvcns.rs/handle/123456789/1627
Collections
  • Radovi istraživača / Researchers' papers
Institution/Community
FiVeR
TY  - JOUR
AU  - Forkapić, S.
AU  - Maletić, D.
AU  - Vasin, Jovica
AU  - Bikit, K.
AU  - Mrdja, D.
AU  - Bikit, Ištvan S.
AU  - Udovicić, V.
AU  - Banjanac, R.
PY  - 2017
UR  - http://fiver.ifvcns.rs/handle/123456789/1627
AB  - The most dominant source of indoor radon is the underlying soil, so the enhanced levels of radon are usually expected in mountain regions and geology units with high radium and uranium content in surface soils. Laboratory for radioactivity and dose measurement, Faculty of Sciences, University of Novi Sad has rich databases of natural radionuclides concentrations in Vojvodina soil and also of indoor radon concentrations for the region of Vojvodina, Northern Province of Serbia. In this paper we present the results of correlative and multivariate analysis of these results and soil characteristics in order to estimate the geogenic radon potential. The correlative and multivariate analysis were done using Toolkit for Multivariate Analysis software package TMVA package, within ROOT analysis framework, which uses several comparable multivariate methods for our analysis. The evaluation ranking results based on the best signal efficiency and purity, show that the Boosted Decision Trees (BDT) and Multi Layer Preceptor (MLP), based on Artificial Neural Network (ANN), are multivariate methods which give the best results in the analysis. The BDTG multivariate method shows that variables with the highest importance are radionuclides activity on 30 cm depth. Moreover, the multivariate regression methods give a good approximation of indoor radon activity using full set of input variables. On several locations in the city of Novi Sad the results of indoor radon concentrations, radon emanation from soil, gamma spectrometry measurements of underlying soil and geology characteristics of soil were analyzed in detail in order to verify previously obtained correlations for Vojvodina soil.
PB  - Elsevier Sci Ltd, Oxford
T2  - Journal of Environmental Radioactivity
T1  - Correlation analysis of the natural radionuclides in soil and indoor radon in Vojvodina, Province of Serbia
EP  - 411
SP  - 403
VL  - 166
DO  - 10.1016/j.jenvrad.2016.07.026
ER  - 
@article{
author = "Forkapić, S. and Maletić, D. and Vasin, Jovica and Bikit, K. and Mrdja, D. and Bikit, Ištvan S. and Udovicić, V. and Banjanac, R.",
year = "2017",
abstract = "The most dominant source of indoor radon is the underlying soil, so the enhanced levels of radon are usually expected in mountain regions and geology units with high radium and uranium content in surface soils. Laboratory for radioactivity and dose measurement, Faculty of Sciences, University of Novi Sad has rich databases of natural radionuclides concentrations in Vojvodina soil and also of indoor radon concentrations for the region of Vojvodina, Northern Province of Serbia. In this paper we present the results of correlative and multivariate analysis of these results and soil characteristics in order to estimate the geogenic radon potential. The correlative and multivariate analysis were done using Toolkit for Multivariate Analysis software package TMVA package, within ROOT analysis framework, which uses several comparable multivariate methods for our analysis. The evaluation ranking results based on the best signal efficiency and purity, show that the Boosted Decision Trees (BDT) and Multi Layer Preceptor (MLP), based on Artificial Neural Network (ANN), are multivariate methods which give the best results in the analysis. The BDTG multivariate method shows that variables with the highest importance are radionuclides activity on 30 cm depth. Moreover, the multivariate regression methods give a good approximation of indoor radon activity using full set of input variables. On several locations in the city of Novi Sad the results of indoor radon concentrations, radon emanation from soil, gamma spectrometry measurements of underlying soil and geology characteristics of soil were analyzed in detail in order to verify previously obtained correlations for Vojvodina soil.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Journal of Environmental Radioactivity",
title = "Correlation analysis of the natural radionuclides in soil and indoor radon in Vojvodina, Province of Serbia",
pages = "411-403",
volume = "166",
doi = "10.1016/j.jenvrad.2016.07.026"
}
Forkapić, S., Maletić, D., Vasin, J., Bikit, K., Mrdja, D., Bikit, I. S., Udovicić, V.,& Banjanac, R.. (2017). Correlation analysis of the natural radionuclides in soil and indoor radon in Vojvodina, Province of Serbia. in Journal of Environmental Radioactivity
Elsevier Sci Ltd, Oxford., 166, 403-411.
https://doi.org/10.1016/j.jenvrad.2016.07.026
Forkapić S, Maletić D, Vasin J, Bikit K, Mrdja D, Bikit IS, Udovicić V, Banjanac R. Correlation analysis of the natural radionuclides in soil and indoor radon in Vojvodina, Province of Serbia. in Journal of Environmental Radioactivity. 2017;166:403-411.
doi:10.1016/j.jenvrad.2016.07.026 .
Forkapić, S., Maletić, D., Vasin, Jovica, Bikit, K., Mrdja, D., Bikit, Ištvan S., Udovicić, V., Banjanac, R., "Correlation analysis of the natural radionuclides in soil and indoor radon in Vojvodina, Province of Serbia" in Journal of Environmental Radioactivity, 166 (2017):403-411,
https://doi.org/10.1016/j.jenvrad.2016.07.026 . .

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