Your browser doesn't support javascript.
loading
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).
Coletti, Chiara; Ciotoli, Giancarlo; Benà, Eleonora; Brattich, Erika; Cinelli, Giorgia; Galgaro, Antonio; Massironi, Matteo; Mazzoli, Claudio; Mostacci, Domiziano; Morozzi, Pietro; Mozzi, Paolo; Nava, Jacopo; Ruggiero, Livio; Sciarra, Alessandra; Tositti, Laura; Sassi, Raffaele.
Afiliação
  • Coletti C; Department of Geosciences, University of Padova, Via Gradenigo 6, 25131 Padova, Italy.
  • Ciotoli G; Institute of Environmental Geology and Geoengineering, National Research Council, 00015 Rome, Italy. Electronic address: giancarlo.ciotoli@igag.cnr.it.
  • Benà E; Department of Geosciences, University of Padova, Via Gradenigo 6, 25131 Padova, Italy.
  • Brattich E; Department of Physics and Astronomy, University of Bologna, via Irnerio 46, 40126 Bologna, Italy.
  • Cinelli G; European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, VA, Italy.
  • Galgaro A; Department of Geosciences, University of Padova, Via Gradenigo 6, 25131 Padova, Italy.
  • Massironi M; Department of Geosciences, University of Padova, Via Gradenigo 6, 25131 Padova, Italy.
  • Mazzoli C; Department of Geosciences, University of Padova, Via Gradenigo 6, 25131 Padova, Italy.
  • Mostacci D; Department of Industrial Engineering, University of Bologna, Via dei Colli 16, 40136 Bologna, Italy.
  • Morozzi P; Department of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
  • Mozzi P; Department of Geosciences, University of Padova, Via Gradenigo 6, 25131 Padova, Italy.
  • Nava J; Department of Geosciences, University of Padova, Via Gradenigo 6, 25131 Padova, Italy.
  • Ruggiero L; National Institute of Geophysics and Volcanology, Via Vigna Murata 605, 00143 Rome, Italy.
  • Sciarra A; National Institute of Geophysics and Volcanology, Via Vigna Murata 605, 00143 Rome, Italy.
  • Tositti L; Department of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
  • Sassi R; Department of Geosciences, University of Padova, Via Gradenigo 6, 25131 Padova, Italy.
Sci Total Environ ; 808: 152064, 2022 Feb 20.
Article em En | MEDLINE | ID: mdl-34863751
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Radioativos do Solo / Monitoramento de Radiação / Radônio / Poluentes Radioativos do Ar Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Radioativos do Solo / Monitoramento de Radiação / Radônio / Poluentes Radioativos do Ar Idioma: En Ano de publicação: 2022 Tipo de documento: Article