[3J10-13] 福島事故関連：線量評価

[3J13] Mapping project in Fukushima and related researches

(10)Multiscale Bayesian Data Integration Approach for Mapping Air Dose Rates around the Fukushima Daiichi Nuclear Power PlanT

*Haruko Murakami Wainwright¹, Akiyuki Seki², Kimiaki Saito² (1.Lawrence Berkeley National Laboratory, 2.Japan Atomic Energy Agency)

キーワード：Mapping of air dose rates, Bayesian hierarchical model, Fukushima Daiichi NPP Accident, Geostatistics

This study presents a multiscale data integration method to estimate air dose rates in the regional scale around the Fukushima Daiichi Nuclear Power Plant (NPP). We integrate three types of data: ground-based walk and car surveys, and airborne surveys, all of which have different scales, resolutions, spatial coverage, and accuracy. Results show that the method can successfully integrate three types of datasets in a consistent manner, and create an integrated map (including the confidence intervals) of air dose rates over the domain in high resolution.