Bayesian hierarchical methods for spatiotemporal integration of radiation air dose rates

Murakami, Haruko*; Sun, D.*; Seki, Akiyuki   ; Takemiya, Hiroshi; Saito, Kimiaki  

This study presents a Bayesian hierarchical method to integrate multiple types of radiation measurements and to estimate the spatiotemporal distribution of radiation air dose rates around the Fukushima Daiichi Nuclear Power Plant. The method incorporates the temporal evolution of dose rates by separating the log-linear decay trend and the fluctuations of air dose rates which are spatially correlated based on adjacent monitoring post data.