# [STT58-P04] Basic study for application of inverse radiation problem to airborne radiation measurement

Keywords:Drone, micro UAV, Remote radiation measurement, Terrain correction, Successive approximation method, Fukushima Daiichi Nuclear Power Plant Accident

Our micro UAV was based on the commercial drone system produced by 3D Robotix Co., Ltd. (Calofornia, USA). The radiation detector was selected the GAGG scintillation detector (2cm × 2cm × 2cm) which is manufactured by Furukawa Co., Ltd. (Tokyo, Japan). The gamma-ray spectrum data was collected every three seconds with the position data by Groval Positioning System (GPS). A DSM (Digital surface model) data was acquired from photographs by the microUAV. For comparison, a radiation distribution on the ground was obtained using a survey meter with GPS (NESI Co., Ltd. Ibaraki, Japan).

The algorithm of the successive approximation method was assumed the measured value at the detector is expressed as the sum of the product of attenuation coefficient and ground point. The measured value(Yi) at the detector(i) is expressed by equation [1].

Yi = Σ[j=1→B] λj Cij [1]

where B is number of ground calculation point, Cij is attenuation coefficient and λj is calculation value at ground point(j) respectively. The attenuation coefficient (Cij) applied the air attenuation coefficient and the angle correction factor of the detector. Distance and angle attenuation coefficient were used of total energy photons count to the distance of Cs-137(662keV) point source was calculated by montecalro simulation (PHITS: Particle and Heavy Ion Transport code System by JAEA).

The airborne monitoring by micro UAV conducted in two areas (approximately 1 km

^{2}) at Fukushima prefecture. A flat area and a forest area were selected. The count rate data is obtained by flying 10m or 50m agl. and 10m line spacing. These data was applied by the algorithm of the successive approximation method. These results was compared by conversion results of conventional method at same place. NMSE (Normalised Mean Square Error) which is compared with the airborne data and the ground data was defined for evaluation of accuracy of the algorithm of the successive approximation method.

In flat area, NMSE of the conventional method is 0.105 and NMSE of the successive approximation method is 0.034. Successive approximation method was close to the ground value compared with the conventional method. On the other hands, NMSE of the conventional method is 0.302 and NMSE of the successive approximation method is 0.214 in the forest area. The difference of attenuation factor by radiation energy and radiation attenuation of tree is not taken into account in the current algorithm. This method can expected detailed map by doing optimizing the algorithm and accumulate measurement results in many areas.