Logistic regression model for detecting radon prone areas in Ireland

The Science of the Total Environment
J ElíoS Long

Abstract

A new high spatial resolution radon risk map of Ireland has been developed, based on a combination of indoor radon measurements (n=31,910) and relevant geological information (i.e. Bedrock Geology, Quaternary Geology, soil permeability and aquifer type). Logistic regression was used to predict the probability of having an indoor radon concentration above the national reference level of 200Bqm-3in Ireland. The four geological datasets evaluated were found to be statistically significant, and, based on combinations of these four variables, the predicted probabilities ranged from 0.57% to 75.5%. Results show that the Republic of Ireland may be divided in three main radon risk categories: High (HR), Medium (MR) and Low (LR). The probability of having an indoor radon concentration above 200Bqm-3in each area was found to be 19%, 8% and 3%; respectively. In the Republic of Ireland, the population affected by radon concentrations above 200Bqm-3is estimated at ca. 460k (about 10% of the total population). Of these, 57% (265k), 35% (160k) and 8% (35k) are in High, Medium and Low Risk Areas, respectively. Our results provide a high spatial resolution utility which permit customised radon-awareness information to be targeted at specific ge...Continue Reading

Citations

Jul 19, 2019·Expert Review of Respiratory Medicine·María Lorenzo-GonzálezAlberto Ruano-Ravina
Jun 21, 2020·Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine·Marta FuenteMark Foley
Jan 1, 2021·International Journal of Environmental Research and Public Health·Mohammademad AdelikhahTibor Kovács
Apr 4, 2021·International Journal of Environmental Research and Public Health·Mirsina Mousavi AghdamMaxime Savatier
Mar 29, 2021·The Science of the Total Environment·Eric Petermann, Peter Bossew

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