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Detailed Geogenic Radon Potential Mapping Using Geospatial Analysis of Multiple Geo-Variables—A Case Study from a High-Risk Area in SE Ireland

Author

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  • Mirsina Mousavi Aghdam

    (Department of Geology, Trinity College Dublin, D02 YY50 Dublin, Ireland
    Department of Civil and Environmental Engineering and Architecture, University of Cagliari, 09123 Cagliari, Italy)

  • Valentina Dentoni

    (Department of Civil and Environmental Engineering and Architecture, University of Cagliari, 09123 Cagliari, Italy)

  • Stefania Da Pelo

    (Department of Chemical and Geological Sciences, University of Cagliari, 09123 Cagliari, Italy)

  • Quentin Crowley

    (Department of Geology, Trinity College Dublin, D02 YY50 Dublin, Ireland)

Abstract

A detailed investigation of geogenic radon potential (GRP) was carried out near Graiguenamanagh town (County Kilkenny, Ireland) by performing a spatial regression analysis on radon-related variables to evaluate the exposure of people to natural radiation (i.e., radon, thoron and gamma radiation). The study area includes an offshoot of the Caledonian Leinster Granite, which is locally intruded into Ordovician metasediments. To model radon release potential at different points, an ordinary least squared (OLS) regression model was developed in which soil gas radon (SGR) concentrations were considered as the response value. Proxy variables such as radionuclide concentrations obtained from airborne radiometric surveys, soil gas permeability, distance from major faults and a digital terrain model were used as the input predictors. ArcGIS and QGIS software together with XLSTAT statistical software were used to visualise, analyse and validate the data and models. The proposed GRP models were validated through diagnostic tests. Empirical Bayesian kriging (EBK) was used to produce the map of the spatial distribution of predicted GRP values and to estimate the prediction uncertainty. The methodology described here can be extended for larger areas and the models could be utilised to estimate the GRPs of other areas where radon-related proxy values are available.

Suggested Citation

  • Mirsina Mousavi Aghdam & Valentina Dentoni & Stefania Da Pelo & Quentin Crowley, 2022. "Detailed Geogenic Radon Potential Mapping Using Geospatial Analysis of Multiple Geo-Variables—A Case Study from a High-Risk Area in SE Ireland," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15910-:d:987682
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    References listed on IDEAS

    as
    1. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    2. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    3. Liliana Cori & Olivia Curzio & Gabriele Donzelli & Elisa Bustaffa & Fabrizio Bianchi, 2022. "A Systematic Review of Radon Risk Perception, Awareness, and Knowledge: Risk Communication Options," Sustainability, MDPI, vol. 14(17), pages 1-27, August.
    4. Mirsina Mousavi Aghdam & Quentin Crowley & Carlos Rocha & Valentina Dentoni & Stefania Da Pelo & Stephanie Long & Maxime Savatier, 2021. "A Study of Natural Radioactivity Levels and Radon/Thoron Release Potential of Bedrock and Soil in Southeastern Ireland," IJERPH, MDPI, vol. 18(5), pages 1-18, March.
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