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Bayesian spatial modelling of terrestrial radiation in Switzerland


Folly, Christophe L; Konstantinoudis, Garyfallos; Mazzei-Abba, Antonella; Kreis, Christian; Bucher, Benno; Furrer, Reinhard; Spycher, Ben D (2021). Bayesian spatial modelling of terrestrial radiation in Switzerland. Journal of Environmental Radioactivity, 233:106571.

Abstract

The geographic variation of terrestrial radiation can be exploited in epidemiological studies of the health effects of protracted low-dose exposure. Various methods have been applied to derive maps of this variation. We aimed to construct a map of terrestrial radiation for Switzerland. We used airborne γ-spectrometry measurements to model the ambient dose rates from terrestrial radiation through a Bayesian mixed-effects model and conducted inference using Integrated Nested Laplace Approximation (INLA). We predicted higher levels of ambient dose rates in the alpine regions and Ticino compared with the western and northern parts of Switzerland. We provide a map that can be used for exposure assessment in epidemiological studies and as a baseline map for assessing potential contamination.

Abstract

The geographic variation of terrestrial radiation can be exploited in epidemiological studies of the health effects of protracted low-dose exposure. Various methods have been applied to derive maps of this variation. We aimed to construct a map of terrestrial radiation for Switzerland. We used airborne γ-spectrometry measurements to model the ambient dose rates from terrestrial radiation through a Bayesian mixed-effects model and conducted inference using Integrated Nested Laplace Approximation (INLA). We predicted higher levels of ambient dose rates in the alpine regions and Ticino compared with the western and northern parts of Switzerland. We provide a map that can be used for exposure assessment in epidemiological studies and as a baseline map for assessing potential contamination.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
07 Faculty of Science > Institute for Computational Science
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Scopus Subject Areas:Physical Sciences > Environmental Chemistry
Physical Sciences > Waste Management and Disposal
Physical Sciences > Pollution
Physical Sciences > Health, Toxicology and Mutagenesis
Uncontrolled Keywords:Waste Management and Disposal, Pollution, Health, Toxicology and Mutagenesis, Environmental Chemistry, General Medicine
Language:English
Date:1 July 2021
Deposited On:30 Mar 2021 13:18
Last Modified:24 Feb 2024 02:49
Publisher:Elsevier
ISSN:0265-931X
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.jenvrad.2021.106571
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)