Literature DB >> 34863751

The assessment of local geological factors for the construction of a Geogenic Radon Potential map using regression kriging. A case study from the Euganean Hills volcanic district (Italy).

Chiara Coletti1, Giancarlo Ciotoli2, Eleonora Benà1, Erika Brattich3, Giorgia Cinelli4, Antonio Galgaro1, Matteo Massironi1, Claudio Mazzoli1, Domiziano Mostacci5, Pietro Morozzi6, Paolo Mozzi1, Jacopo Nava1, Livio Ruggiero7, Alessandra Sciarra7, Laura Tositti6, Raffaele Sassi1.   

Abstract

The assessment of potential radon-hazardous environments is nowadays a critical issue in planning, monitoring, and developing appropriate mitigation strategies. Although some geological structures (e.g., fault systems) and other geological factors (e.g., radionuclide content, soil organic or rock weathering) can locally affect the radon occurrence, at the basis of a good implementation of radon-safe systems, optimized modelling at territorial scale is required. The use of spatial regression models, adequately combining different types of predictors, represents an invaluable tool to identify the relationships between radon and its controlling factors as well as to construct Geogenic Radon Potential (GRP) maps of an area. In this work, two GRP maps were developed based on field measurements of soil gas radon and thoron concentrations and gamma spectrometry of soil and rock samples of the Euganean Hills (northern Italy) district. A predictive model of radon concentration in soil gas was reconstructed taking into account the relationships among the soil gas radon and seven predictors: terrestrial gamma dose radiation (TGDR), thoron (220Rn), fault density (FD), soil permeability (PERM), digital terrain model (SLOPE), moisture index (TMI), heat load index (HLI). These predictors allowed to elaborate local spatial models by using the Empirical Bayesian Regression Kriging (EBRK) in order to find the best combination and define the GRP of the Euganean Hills area. A second GRP map based on the Neznal approach (GRPNEZ) has been modelled using the TGDR and 220Rn, as predictors of radon concentration, and FD as predictor of soil permeability. Then, the two GRP maps have been compared. Results highlight that the radon potential is mainly driven by the bedrock type but the presence of fault systems and topographic features play a key role in radon migration in the subsoil and its exhalation at the soil/atmosphere boundary.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Euganean Hills; Geogenic Radon Potential; Geostatistics; Natural radioactivity; Radon; Regression kriging

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Year:  2021        PMID: 34863751     DOI: 10.1016/j.scitotenv.2021.152064

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Radon Hazard in Central Italy: Comparison among Areas with Different Geogenic Radon Potential.

Authors:  Francesca Giustini; Livio Ruggiero; Alessandra Sciarra; Stan Eugene Beaubien; Stefano Graziani; Gianfranco Galli; Luca Pizzino; Maria Chiara Tartarello; Carlo Lucchetti; Pietro Sirianni; Paola Tuccimei; Mario Voltaggio; Sabina Bigi; Giancarlo Ciotoli
Journal:  Int J Environ Res Public Health       Date:  2022-01-07       Impact factor: 3.390

  1 in total

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