TY - JOUR
T1 - The first version of the Pan-European Indoor Radon Map
AU - Elío, J.
AU - Cinelli, Giorgia
AU - Bossew, Peter
AU - Gutiérrez-Villanueva, José Luis
AU - Tollefsen, Tore
AU - De Cort, Marc
AU - Nogarotto, Alessio
AU - Braga, Roberto
PY - 2019
Y1 - 2019
N2 - 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 arithmetic mean (AM) over grid cells of 10 km × 10 km to predict a mean indoor radon concentration at ground-floor level of buildings in the grid cells where no or few data (N<30) are available. Four interpolation techniques have been tested: inverse distance weighting (IDW), ordinary kriging (OK), collocated cokriging with uranium concentration as a secondary variable (CCK), and regression kriging with topsoil geochemistry and bedrock geology as secondary variables (RK). Cross-validation exercises have been carried out to assess the uncertainties associated with each method. Of the four methods tested, RK has proven to be the best one for predicting mean indoor radon concentrations; and by combining the RK predictions with the AM of the grids with 30 or more measurements, a Pan-European Indoor Radon Map has been produced. This map represents a first step towards a European radon exposure map and, in the future, a radon dose map.
AB - 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 arithmetic mean (AM) over grid cells of 10 km × 10 km to predict a mean indoor radon concentration at ground-floor level of buildings in the grid cells where no or few data (N<30) are available. Four interpolation techniques have been tested: inverse distance weighting (IDW), ordinary kriging (OK), collocated cokriging with uranium concentration as a secondary variable (CCK), and regression kriging with topsoil geochemistry and bedrock geology as secondary variables (RK). Cross-validation exercises have been carried out to assess the uncertainties associated with each method. Of the four methods tested, RK has proven to be the best one for predicting mean indoor radon concentrations; and by combining the RK predictions with the AM of the grids with 30 or more measurements, a Pan-European Indoor Radon Map has been produced. This map represents a first step towards a European radon exposure map and, in the future, a radon dose map.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85074721833&partnerID=MN8TOARS
U2 - 10.5194/nhess-19-2451-2019
DO - 10.5194/nhess-19-2451-2019
M3 - Tidsskriftartikel
SN - 1561-8633
VL - 19
SP - 2451
EP - 2464
JO - Natural Hazards and Earth System Sciences
JF - Natural Hazards and Earth System Sciences
ER -