The application of geospatial analysis for the construction of radon potential map of the Latium region based on geological variables, soil gas and indoor radon. (Comunicazione a convegno)

Type
Label
  • The application of geospatial analysis for the construction of radon potential map of the Latium region based on geological variables, soil gas and indoor radon. (Comunicazione a convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Ciotoli G., Voltaggio M., Tuccimei P., Finoia M.G., Soligo M., Catalano G., Gerardi A., Lombardi S. (2014)
    The application of geospatial analysis for the construction of radon potential map of the Latium region based on geological variables, soil gas and indoor radon.
    in 12th INTERNATIONAL WORKSHOP-GARRM (on the GEOLOGICAL ASPECTS OF RADON RISK MAPPING), Prague, Czech Republic, September 16th - 18th(19th), 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ciotoli G., Voltaggio M., Tuccimei P., Finoia M.G., Soligo M., Catalano G., Gerardi A., Lombardi S. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Geologia Ambientale e Geoingegneria, Consiglio Nazionale delle Ricerche - IGAG-CNR, Area della Ricerca di Roma1 - Montelibretti, Via Salaria Km 29,300, Monterotondo (Rome) - giancarlo.ciotoli@igag.cnr.it Università degli Studi \"Roma Tre\", Dipartimento di Scienze - L.go San Leonardo Murialdo, 1 - 00146 Rome, Italy Istituto Superiore per la Protezione e la Ricerca Ambientale, via Vitaliano Brancati 48 - 00144 Rome, Italy Area Difesa Suolo e Bonifiche, Regione Lazio via del Tintoretto, 432 - 00142 Rome, Italy Dipartimento di Scienze della Terra, Sapienza Università di Roma, P.le A. Moro, 5 - 00185 Rome, Italy (literal)
Titolo
  • The application of geospatial analysis for the construction of radon potential map of the Latium region based on geological variables, soil gas and indoor radon. (literal)
Abstract
  • etc.). These data are used to optimise the radon hazard maps and to assess the potential radon risk in building extension zones at the scale of the regions and/or the municipalities. In this work, a modelling strategy is proposed by adding both indoor and soil gas radon to some geological variables strictly correlated to the definition of the RPAs. In particular, geostatistical and geographical weighted regression techniques have been applied to construct a multivariate spatial regression model to predict the geogenic radon potential of the Latium Region. The obtained results has been subsequently included in a further spatial regression model to obtain a prediction of high indoor potential areas. (literal)
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