A multiscale Bayesian data integration approach for mapping air dose rates around the Fukushima Daiichi Nuclear Power Plant

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• 作者：Haruko M. Wainwright^a ; ^{hmwainwright@lbl.gov} ; Akiyuki Seki^b ; ^{seki.akiyuki@jaea.go.jp} ; Jinsong Chen^a ; ^{jchen@lbl.gov} ; Kimiaki Saito^c ; ^{saito.kimiaki@jaea.go.jp}
• 关键词：Mapping of air dose rates ; Bayesian hierarchical models ; Fukushima Daiichi Nuclear Power Plant accident ; Geostatistics ; Multi-scale ; Data integration
• 刊名：Journal of Environmental Radioactivity
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：167
• 期：Complete
• 页码：62-69
• 全文大小：2916 K
• 卷排序：167

文摘

A Bayesian data integration method is proposed to map air dose rates. The method integrated walk, car and air survey data with different accuracy/scales. The method provided a detailed dose-rate map with the uncertainty quantified.