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Report No.
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Evaluation of analysis of airborne radiation survey using artificial neural network

Sasaki, Miyuki  ; Sanada, Yukihisa   

After the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident in March 2011, an airborne radiation survey (ARS) was conducted in Japan using a helicopter and unmanned aerial vehicle (UAV). ARS can quickly measure and collect data over wide areas. The position resolution of the source intensity by ARS is known to be rough compared with a ground-based survey because the detector position is far from a radiation source. We constructed and evaluated an artificial neural network (ANN). The ANN constructed to convert ARS data to the ambient dose equivalent rate (air dose rate) 1 m above ground level (AGL) to improve the measurement accuracy of ARS. In this study, we provide evaluation results of the conversion characteristic using the constructed ANN with ARS data acquired around FDNPP.

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