Temporal integration of the environmental monitoring results in Fukushima prefecture

Seki, Akiyuki   ; Murakami, Haruko*; Saito, Kimiaki  ; Takemiya, Hiroshi

In the monitoring post established by the Nuclear Regulatory Authority, air dose rate measurements have been conducted frequently, and eight years have passed since the Fukushima Daiichi nuclear accident, so a large amount of data is accumulated. We extracted the data that supports the optimization of monitoring posts by temporally integrating the results of these monitoring posts. In particular, we performed temporal integration using the hierarchical Bayesian model for the set of results of the air dose rate by multiple monitoring posts and estimated the results of the air dose rate of one monitoring post from the other. In many monitoring post pairs within 1km, we obtained statistically most reliable air dose rate results and their confidence intervals.