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ICRP International

Conference on Recovery After Nuclear Accidents

Radiological Protection Lessons
from Fukushima and Beyond

December 1 - 18, 2020

B. Turbat, K. Yoshida, A.A. El-Hameed, Y. Ruban, N. Yasuda

Updated: Dec 11, 2020

Improvement of the Nuclear Disaster Prevention System After the Accidents and Preparation for a Future Accident

B. Turbat (Research Institute of Nuclear Engineering, University of Fukui, Japan; Mongolian University of Science and Technology), K. Yoshida (Research Institute of Nuclear Engineering, University of Fukui, Japan), A.A. El-Hameed (Egyptian Atomic Energy Authority), Y. Ruban (National University of Life and Environmental Sciences of Ukraine), N. Yasuda (Research Institute of Nuclear Engineering, University of Fukui, Japan)


Radiation monitoring in the vicinity of a nuclear power plant has got even more attention both from radiological professionals and the public after the Fukushima nuclear disaster. However, there is always a radiological risk to the public and the environment from a possible nuclear accident that could occur in a neighboring country. To investigate whether the monitoring data in Japan are reliable enough to correctly assess the radiological situation caused by such an accident, we selected past Chinese atmospheric nuclear explosions as overseas radioactive sources and analyzed data on the daily air dose rate, measured through Japan during these nuclear explosions. Time series of air dose rate fluctuates due to natural phenomena, that complicate the recognition of signals related to accidental release. We detrended the time series and identified outliers in the detrended time series that represented occurrences or extremely high air dose rate more clearly than raw time series. We recommend incorporating the detrended method into the monitoring strategy so that the air dose rate is continuously monitored in real-time using the detrending method.

事故後の原子力防災システムの改善と将来の事故への備え

B. Turbat (Research Institute of Nuclear Engineering, University of Fukui, Japan; Mongolian University of Science and Technology), K. Yoshida (Research Institute of Nuclear Engineering, University of Fukui, Japan), A.A. El-Hameed (Egyptian Atomic Energy Authority), Y. Ruban (National University of Life and Environmental Sciences of Ukraine), N. Yasuda (Research Institute of Nuclear Engineering, University of Fukui, Japan)


福島の原子力災害以降、原子力発電所周辺での放射線モニタリングは、放射線の専門家からも、公衆からもより一層注目されるようになった。しかし、隣国で発生する可能性のある原子力事故には、公衆と環境に対する放射線リスクが常に存在する。そのような事故に起因する放射線状況を正しく評価するために、日本のモニタリングデータが十分信頼できるかどうかを調べるため、我々は過去に発生した中国の大気圏核爆発を海外の放射能源として選定し、これらの核爆発時に日本を経由して測定された1日の空間線量率のデータを解析した。時系列の空間線量率は自然現象のために変動し、事故放出に関連する兆候の認識を難しくしている。我々は時系列からトレンドを除去し、トレンドを除去した時系列の中で、生の時系列よりも明確に事象や極めて高い空間線量率を表す異常値を特定した。我々は空間線量率がトレンド除去法を用いてリアルタイムで連続的にモニタリングされるように、トレンド除去法をモニタリング方針に組み入れることを勧告する。

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