Comparison of Northern Ireland radon maps based on indoor radon measurements and geology with maps derived by predictive modelling of airborne radiometric and ground permeability data
Appleton, J.D.; Miles, J.C.H.; Young, M.. 2011 Comparison of Northern Ireland radon maps based on indoor radon measurements and geology with maps derived by predictive modelling of airborne radiometric and ground permeability data. Science of the Total Environment, 409 (8). 1572-1583. 10.1016/j.scitotenv.2011.01.023
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Abstract/Summary
Publicly available information about radon potential in Northern Ireland is currently based on indoor radon results averaged over 1-km grid squares, an approach that does not take into account the geological origin of the radon. This study describes a spatially more accurate estimate of the radon potential of Northern Ireland using an integrated radon potential mapping method based on indoor radon measurements and geology that was originally developed for mapping radon potential in England and Wales. A refinement of this method was also investigated using linear regression analysis of a selection of relevant airborne and soil geochemical parameters from the Tellus Project. The most significant independent variables were found to be eU, a parameter derived from airborne gamma spectrometry measurements of radon decay products in the top layer of soil and exposed bedrock, and the permeability of the ground. The radon potential map generated from the Tellus data agrees in many respects with the map based on indoor radon data and geology but there are several areas where radon potential predicted from the airborne radiometric and permeability data is substantially lower. This under-prediction could be caused by the radon concentration being lower in the top 30 cm of the soil than at greater depth, because of the loss of radon from the surface rocks and soils to air.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1016/j.scitotenv.2011.01.023 |
Programmes: | BGS Programmes 2010 > Information and Knowledge Exchange (Knowledge Exchange) |
ISSN: | 0048-9697 |
Date made live: | 01 Jul 2011 10:39 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/14598 |
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