Publications

Application of airborne geophysical survey data in a logistic regression model to improve the predictive power of geogenic radon maps. A case study in Castleisland, County Kerry, Ireland

In this study, a novel methodology was investigated to improve the spatial resolution and predictive power of geogenic radon maps. The data inputs comprise indoor radon…

Machine learning in environmental radon science

Machine learning

Temporal dynamic as well as spatial variability of environmental radon are controlled by factors such as meteorology, lithology, soil properties, hydrogeology, tectonics…

Machine learning in environmental radon science

Machine learning

Temporal dynamic as well as spatial variability of environmental radon are controlled by factors such as meteorology, lithology, soil properties, hydrogeology, tectonics…

Hubs and clusters approach to unlock the development of carbon capture and storage. Case study in Spain

Carbon Capture and Storage

Many countries have assigned an indispensable role for carbon capture and storage (CCS) in their national climate change mitigation pathways. However, CCS deployment has…

Application of airborne radiometric surveys for large-scale geogenic radon potential classification

Gamma-ray spectrometry

Background: Indoor radon represents an important health issue to the general population. Therefore, accurate radon risk maps help public authorities to prioritise areas…

The first version of the Pan-European Indoor Radon Map

A hypothetical Pan-European Indoor Radon Map has been developed using summary statistics estimated from 1.2 million indoor radon samples. In this study we have used the…

Rapid radon potential classification using soil-gas radon measurements in the Cooley Peninsula, County Louth, Ireland

A rapid method for local-scale radon risk assessment using in situ radon soil-gas measurements and a national-scale soil permeability data set have been evaluated. We test…

Estimation of residential radon exposure and definition of Radon Priority Areas based on expected lung cancer incidence

Radon is a naturally occurring gas, classified as a Class 1 human carcinogen, being the second most significant cause of lung cancer after tobacco smoking. A robust spatial…

Estimation of residential radon exposure and definition of Radon Priority Areas based on expected lung cancer incidence

Machine learning

Logistic regression

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…