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.
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.
Ciotoli G;Voltaggio M;
2014
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
