The application of non-parametric statistical techniques to an ALARA programme.
For the cost-effective reduction of occupational radiation dose (ORD) at nuclear power plants, it is necessary to identify what are the processes of repetitive high ORD during maintenance and repair operations. To identify the processes, the point values such as mean and median are generally used, but they sometimes lead to misjudgment since they cannot show other important characteristics such as dose distributions and frequencies of radiation jobs. As an alternative, the non-parametric analysis method is proposed, which effectively identifies the processes of repetitive high ORD. As a case study, the method is applied to ORD data of maintenance and repair processes at Kori Units 3 and 4 that are pressurised water reactors with 950 MWe capacity and have been operating since 1986 and 1987 respectively, in Korea and the method is demonstrated to be an efficient way of analysing the data.
Moon
J H
JH
Department of Nuclear Engineering, Seoul National University, Republic of Korea. jhmoonsnu@hanmail.net
Cho
Y H
YH
Kang
C S
CS
D000465:Algorithms; D006801:Humans; D007723:Korea; D015233:Models, Statistical; D009678:Nuclear Energy; D016273:Occupational Exposure; D016272:Occupational Health; D011210:Power Plants; D011835:Radiation Protection; D011874:Radiometry; D012984:Software