공간보간법 기반 선량평가 시 측정값 분포 및 개수별 평가 결과 분석

In the emergency situation at nuclear power plant, the radiation dose levels of emergency workersshould be analyzed to optimize their radiation levels. However, analyzing the dose level of workers can be difficultdue to the lack of dose rate information in some workspaces. In such cases, spatial interpolation can be used to quicklyperform a dose assessment using only relatively easy-to-obtain measurement data. However, spatial interpolation canproduce different interpolation results depending on the distribution and number of the measurements. The purposeof this study is to analyze the evaluation results of spatial interpolation method by the distribution and number ofmeasurement data. For this purpose, K-NN, IDW, and Kriging interpolation methods were analyzed, and a simulatedworkspace and distribution and number of the measurement data for dose assessment were set up. For the distributionof the measurement data, three situations were set: 1) distribution over the entire workspace, 2) distribution in thehigh dose rate area, and 3) distribution in the low dose rate area. The number of measurements was set to 8, 35, and96. The radiation dose rates were evaluated by the distribution and number of the measurement data for each spatialinterpolation method and the results were compared with the evaluation results of the MCNP computer code. Theresults showed that when measurements are distributed over the entire workspace, K-NN method showed the lowesterror rate within 5.00% for 35 and 96 measurements. For 8 measurements, Kriging method showed lowest error rate,but it was similar to K-NN. When measurements are distributed in the high dose rate area, Kriging method showedan error rate of more than 100% when there were 8 measurements, but as the number of measurements increased,the error rate decreased to between 16.2% and 30.4%, the lowest error rate of the three interpolation methods. When measurements are distributed in the low dose rate area, Kriging interpolation showed a relatively high errorrate compared to the other two interpolation methods when there were 8 measurements. However, as the numberof measurements increased, the error rate decreased sharply and was less than 5.00%, the lowest error rate of thethree interpolation methods. The results of this study are expected to be used as a basis for emergency worker doseassessment based on the spatial interpolation method.