|
KMID : 0364920040290020129
|
|
Journal of Radiation Protection and Research
2004 Volume.29 No. 2 p.129 ~ p.139
|
|
|
Radiological Risk Assessment for ^{99m}Tc Generator using Uncertainty Analysis
|
|
Jang Han-Gi
Kim Joo-Yeon
Lee Jae-Gi
|
|
|
Abstract
|
|
|
|
Recently, much attentions are paid to the risk associated with increased uses of medium size radiation sources in medical and industrial fields. In this study, radiation risks to the worker and to the general public due to ^{99m}Tc generator were assessed for both normal and accident conditions. Based on the event tree technique, exposure scenarios for various situations were derived. Uncertainty analysis based on the Monte-Carlo technique was applied to the risk assessment for workers and members of the public in the vicinity of the work place. In addition, sensitivity analysis was performed on each of the five independent input parameters to identify importance of the parameters with respect to the resulting risk. Because the frequencies of normal tasks are fat higher than those of accidents, the total risk associated with normal tasks were higher than the accident risk. The annual dose due to normal tasks were 0.6mSv;y^{-1}$ for workers and 0.014mSv;y^{-1} for public, while in accident conditions 3.96mSv;y^{-1};and;0.0016mSv;y^{-1}, respectively. Uncertainty range of accident risk was higher by 10 times than that of normal risk. Sensitivity analysis revealed that source strength, working distance and working time were crucial factors affecting risk. This risk analysis methodology and its results will contribute to establishment of risk-informed regulation for medium and large radioactive sources.
|
|
|
KEYWORD
|
|
|
Risk assessment, ^{99m}Tc generator, exposure scenario, Monte- Carlo technique, uncertainty analysis, sensitivity analysis
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|