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Development of analysis method for airborne radiation monitoring using the inverse problem solutions

逆問題解を用いた上空からの放射線モニタリング解析手法の開発

佐々木 美雪; 石崎 梓; 眞田 幸尚 

Sasaki, Miyuki; Ishizaki, Azusa; Sanada, Yukihisa

福島第一原子力発電所の事故(FDNPS)以来、無人ヘリ等の無人機がFDNPS周辺の空中放射計測に使用されている。従来の解析手法では、UAVの下の地形は平面(平面源モデル)であり線量が一定であり、高度と計数率の関係は指数関数的な相関関係にあることを前提に地上1mに換算する。したがって従来の方法では、山間部や線量率が不均一な場所での測定は地上値と値を一致させることが困難である。本研究では、陽電子放射断層撮影(PET)などの画像再構成に使用されるML-EM(Maximum Likelihood-Expectation Maximization)法を上空からの環境中放射線測定への適用を試みた。

Since the accident at Fukushima Daiichi Nuclear Power Station (FDNPS), some unmanned vehicles (UAVs) are applied to airborne radiation measurement in around FDNPS. In conventional analysis methods, count rate that is obtained in the sky is converted to air dose rate at 1 m above the ground (agl.) under following premises. (1) Topography under the UAV is a plane (plane source model). (2) The air dose rate at 1 m agl. under the UAV is constant inside approximately 10 m radius. (3) Relationship of altitude and count rate is exponential correlation. Therefore, it is difficult that dose rate by airborne radiation measurement is precisely measured at the mountains and uneven place of dose rate by the conventional method. In this study, Maximum Likelihood-Expectation Maximization (ML-EM) method which is used in the medical radiation such as Positron Emission Tomography (PET) is attempted to apply to environmental radiation measurement using UAV.

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