An approach to improve the Austrian Radon Potential Map by Bayesian statistics

An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models

“…The geogenic radon potential plays the main role for radon risk maps, although this approach implies an extensive description of the local geology, uranium and radium contents, soil-gas radon, and permeability [15]. Currently, there is no consensus on a generally accepted method for geogenic, indoor and groundwater radon risk mapping [16][17][18][19][20][21][22][23][24][25], but there is an enormous effort by the scientific community to develop a new methodology for a conceptual geogenic radon hazard index that explains all the complex system of radon production and transport into different anthropogenic compartments and natural systems [17,21,26]. Despite the reduced contribution of radon contamination in groundwater on the overall radon risk, the groundwater recharge coefficient was included as a geogenic factor in the geogenic radon hazard index proposed by Bossew et al [26].…”

Improved predictive mapping of indoor radon concentrations using ensemble regression trees based on automatic clustering of geological units

“…Since radon mainly enters a building from the ground (Zeeb and Shannoun, 2009a), it is strongly dependent on the underlying geology (Appleton and Miles, 2010;Bossew et al, 2014;Cinelli et al, 2009;Dubois et al, 2007;Friedmann and Gr€ oller, 2010). Thus, indoor radon concentrations (IRCs) vary strongly from region to region (Friedmann et al, 1996;Manic et al, 2006).…”

A statistical evaluation of the influence of housing characteristics and geogenic radon potential on indoor radon concentrations in France

“…The models combined different parameters such as housing characteristics, soil properties, geology and gamma dose rate (Andersen et al, 2007;Appleton and Miles, 2010;Friedmann and Groller, 2010;Hauri et al, 2012;Hunter et al, 2009;Kemski et al, 2009;Makelainen et al, 2001).…”