Bayesian spatial modelling of terrestrial radiation in Switzerland

Area of Science:

• Environmental Science
• Radiation Dosimetry
• Epidemiology

Background:

• Geographic variations in terrestrial radiation are crucial for understanding health effects of long-term, low-dose radiation exposure.
• Accurate mapping of terrestrial radiation is essential for epidemiological research and environmental monitoring.

Purpose of the Study:

• To create a detailed map of terrestrial radiation ambient dose rates for Switzerland.
• To support epidemiological studies investigating health outcomes related to protracted low-dose radiation exposure.

Main Methods:

• Utilized airborne gamma-spectrometry measurements for data collection.
• Developed a Bayesian mixed-effects model to estimate terrestrial radiation dose rates.
• Employed Integrated Nested Laplace Approximation (INLA) for statistical inference.

Main Results:

• Generated a comprehensive map of terrestrial radiation ambient dose rates for Switzerland.
• Identified higher predicted dose rates in the alpine regions and Ticino compared to western and northern Switzerland.

Conclusions:

• The developed map serves as a valuable tool for exposure assessment in epidemiological studies.
• The map provides a baseline for evaluating potential environmental contamination by terrestrial radiation.