• 대한인간공학회지
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• 제36권5호
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• pp.559-568
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• 2017

Objective: The aim of this study is to investigate the effective managerial factors influencing dose reduction of the nozzle dam installation and removal tasks ranking within top 3 in viewpoint of average collective dose of nuclear power plant maintenance job. Background: International Commission on Radiation Protection (ICRP) recommended to reduce unnecessary dose and to minimize the necessary dose on the participants of maintenance job in radiation fields. Method: Seven sessions of nozzle dam installation and removal task logs yielded a multiple regression model with collective dose as a dependent variable and work time, number of participants, space doses before and after shield as independent variables. From the sessions in which a significant reduction in collective dose occurred, the effective managerial factors were elicited. Results: Work time was the most important factor contributing to collective dose reduction of nozzle dam installation and removal task. Introduction of new technology in nozzle dam design or maintenance job is the most important factor for work time reduction. Conclusion: With extended task logs and big data processing technique, the more accurate prediction model illustrating the relationship between collective dose reduction and effective managerial factors would be developed. Application: The effective managerial factors will be useful to reduce collective dose of decommissioning tasks as well as regular preventive maintenance tasks for a nuclear power plant.

• Journal of Radiation Protection and Research
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• 제27권2호
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• pp.77-80
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• 2002

원자력시설의 정상 운영시 일반인에 대한 단위 집단선량의 금전가 (피폭선량 금전가) 모델을 기본으로, 사고후 만성피폭에 대해 보다 적용 타당한 모델을 제안하였다. 아울러 우리나라 경제 환경자료를 사용하여 제안된 모델에 근거하여 평가한 피폭선량 금전가를 정상 운영시로부터 유도된 값을 수정없이 그대로 사고후 만성 피폭에 적용한 값과 비교, 분석하였다. 제안된 방법론에 근거할 경우 집단선량은 같다하더라도 피폭받은 집단내 개인선량의 불균일성 차이에 따라 피폭선량 금전가는 상당히 다르게 나타났다. 또한 할인율도 피폭선량 금전가 결정에 있어서 중요한 요소로 작용하였다.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1998년도 춘계학술발표회논문집(2)
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• pp.577-582
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• 1998

In nuclear power plant, it has been the important object to reduce the occupational radiation exposure (ORE). Recently, the optimization concept of management science has been studied to reduce the ORE in nuclear power plant. In optimization of the worker allocation, the collective dose, working time, individual dose, an total number of worker must be considered and their priority orders must be thought because the main constraint is necessary for determining the constraints variable of the radiological worker allocation problem. The ultimate object of this study s to look into the change of the optimal allocation of the radiological worker as priority order changes. In this study, the priority order is the characteristic of goal programming that is a kind of multi-objective linear programming. From a result of study using goal programming, the total number of worker and collective dose of worker have changed as the priority order has changed and the collective dose limit have played an important role in reducing the ORE.

• Journal of Radiation Protection and Research
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• 제48권1호
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• pp.20-27
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• 2023

Background: As the number of nuclear facilities nearing their pre-determined design life increases, demand is increasing for technology and infrastructure related to the decommissioning and decontamination (D&D) process. It is necessary to consider the nature of the dismantling environment constantly changing and the worker doing new tasks. A method was studied that can calculate the effect of learning and the change in work time on the work process, according to the learning-forgetting curve model (LFCM). Materials and Methods: The LFCM was analyzed, and input values and scenarios were analyzed for substitution into the D&D process of a nuclear facility. Results and Discussion: The effectiveness and efficiency of the training were analyzed. It was calculated that skilled workers can receive a 16.9% less collective radiation dose than workers with only basic training. Conclusion: Using these research methods and models, it was possible to calculate the change in the efficiency of workers performing new tasks in the D&D process and the corresponding reduction in the work time and collective dose.

• Journal of Radiation Protection and Research
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• 제30권4호
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• pp.161-165
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• 2005

The gamma-ray dose rates in air at 233 locations in Korea have been determined. The contribution to the gamma-ray dose rates in air due to the presence of $^{232}Th-series,\;^{238}U-series\;and\;^{40}K$ is as follows: 47.3% $(36\;nGyh^{-1})\;^{232}Th-series$ 14.5% $(11\;nGyh^{-1})\;^{238}U-series$ and 38.2% $(29\;nGyh^{-1})\;^{40}K$. The mean gamma-ray dose rate theoretically derived from $^{232}Th-series,\;^{238}U-series\;and\;^{40}K\;was\;76{\pm}17\;nGyh^{-1}$. This corresponds to an annual effective dose of $410\;{\mu}Sv$ and an annual collective dose of 18900 person-Sv for all provinces under study. The results have been compared with other global radiation dose.

• Journal of Radiation Protection and Research
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• 제30권4호
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• pp.185-196
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• 2005

의료 목적으로 X선 촬영이나 CT, PET과 같은 진단방사선 피폭은 불가피하지만 선진국에서 의료 방사선이 최대의 인공 피폭원을 구성하고 있고 또 빠르게 증가하는 경향에 있음을 고려하면 의료상 피폭의 특성이나 그 결과로 인한 환자 선량 크기를 이해하는 것은 매우 중요하다. 이에 2002년도를 기준으로 단위 진료행위별 선량과 국내 의료보험 통계자료를 결합하여 방사선 진료절차별 집단선량과 1인당 유효선량 평가하였다. 절차의 유효선량 값은 NRPB 보고서, ICRP 80, MIRDOSE3.1 및 우리가 독립적으로 산출한 자료들로부터 편집하였다. 평가 결과 연간 집단선량은 진단방사선 22880man-Sv, 핵의학 4560man-Sv로서 총 27440 man-Sv로 나타났으며 따라서 인구 4770만 명을 나눈 1인당 연평균 의료상 피폭선량은 0.58mSv였다. 이 집단선량은 2002년 16기의 원전을 가동한 우리나라의 직업상피폭 70man-Sv보다 크게 많다. 특히 CT 촬영만의 집단선량도 9960man-Sv에 이름은 주목할 일이다. 이 결과는 국가의 방사선방호 정책이 의료에서 환자선량 최적화에 보다 주목해야 함을 시사한다.

• Journal of Radiation Protection and Research
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• 제28권2호
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• pp.145-154
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• 2003

By optimizing the radiation protection the collective dose and individual dose could be reduced during YGN #4 $5^{th}$ outage in 2001. The collective doses for the two high radiation jobs decreased to 85% and 65% of expected doses. The proportion of workers with low dose (below 1mSv) exposure increased 4% while the proportion of workers with over 3mSv and 5mSv exposure are decreased to 2%, 1% respectively. But none is exposed over 8mSv for the annual dose. To aid decision of utilizing the robot, cost- benefit analysis was performed and reasonable point was proposed to use the robot. For the first time job, repeated ALARA meeting and mock up training were implemented to set up working procedure by identifying the trouble. To easily set up standard procedure, mockup process was videotaped and reviewed during ALARA meeting. Monitoring is a good approach to chase radiological working condition such as working time, dose rate. behavior of workers, especially for high radiation work. Those data were estimated and adjusted from the stage of work planning to mock up. At the stage of actual work the monitoring data were compared to the estimation and recorded to database. This database will not only be used as a powerful tool for dose optimization at the following outage but also as a guideline to dose constraint set up for optimization for each specific situation.

• 방사선산업학회지
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• 제18권3호
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• pp.223-226
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• 2024

It is essential to precisely evaluate the expected dose (collective dose) before performing high-exposure tasks in nuclear power plants because those have a high potential to cause significant radiation exposure to workers. A dose evaluation method is to design the scenarios of high-exposure tasks using computational codes, which allows for the calculation of the expected collective dose. Although these computational scenarios are useful for estimating the expected radiation dose and establishing radiation protection plans, the calculated doses may not perfectly match the actual doses that workers receive during tasks due to differences between the scenario and the actual circumstances in the radiation fields. Therefore, this study presents a methodology for calculating correction factors to improve the accuracy of dose predictions from computational scenarios. This approach aims to make the predicted collective dose before the task closer to the actual dose received by workers, thereby enhancing radiation safety for personnel performing high-exposure tasks. Additionally, these correction factors will help accurately predict doses under various working conditions in the future, contributing to minimizing radiation exposure risks for nuclear power plant workers.

• 방사성폐기물학회지
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• 제2권1호
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• pp.60-67
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• 2004

연구로 1,2호기 해체과정에서 발생되는 많은 양의 철재폐기물 중 자체처분대상 철재폐기물을 대상으로 재활용하는 경우에 대해서 피폭방사선량을 평가하고, 규제해제농도기준(안)을 도출하였다. 평가도구는 RESRAD-RECYCLE ver 3.06을 이용하여 ICRP60에서 제시하고 있는 유효선량 개념에 근거한 내부피폭 선량환산인자를 수정하였고, IAEA Safety Series 111-P-1.1 및 NUREG-1640을 적용하여 예상되는 최대개인선량 및 집단선량을 평가하였다. 0.4 Bq/g의 철재폐기물에 대한 RESRAD-RECYCLE 전산코드의 평가결과 개인최대선량 및 집단선량은 23.9 $\mu$Sv/y, 0.11 man$.$Sv/y이다. 최종적인 핵종별 규제해제농도기준은 일반평가방법과 세부평가결과를 종합하여 가장 보수적인 평가결과를 추출하여 결정하였다. 그 결과 $Co^{60}$, C $s^{137}$ 핵종에 대한 규제해제농도준위는 1.14${\times}$$10^{-1}$ Bq/g미만이 되어야 국내 원자력법에서 정하고 있는 처분제한치(최대개인선량 : 10 $\mu$Sv/y, 집단선량 : 1 man$.$Sv/y)를 만족할 수 있다.

• Journal of Radiation Protection and Research
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• 제23권3호
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• pp.149-157
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• 1998

개인 선량한도를 하향조정 하였을 경우 추가적으로 요구되는 방사선작업 자 수와 집단선량을 예측하기 위한 연구가 수행되었다. 연구대상은 한국원자력안전기술원에서 선택한 기관 모두를 포함하였고 해석기준의 선량한도는 ICRP Publ. 60. 및 BEIR V 보고서가 권고한 값으로 하였다. 해석자료로 사용된 데이터베이스는 원자력법에 의거 원자력발전사업 허가자와 비파괴검사 허가자가 한국방사성동위원소협회에 제출한 개인피폭선량 기록의 편집자료에 근거하였다. 연간 개인선량한도의 하향 설정에 따른 영향은 상관모델을 사용하여 계산하였다. 본 연구모델의 민감도는 종사자가 방사선작업환경 내에 있는 동안의 비생산성을 가정하여 분석하였다. 최상의 방사선작업환경조건에서도 종사자의 최저 비생산성 인자에 접근하는 것이 대단히 어렵기 때문에 최저 비생산성 가정은 보수적인 가정이라는 주장을 쉽게 변호할 수 있다는 것이 장점이다. 개인선량한도가 연평균 2cSv로 하향 조정되고 개인 작업자의 비생산성율이 0.1이라고 가정하면 1997년 동안 방사선시설에서 추가로 요구되는 방사선작업종사자수는 231명으로부터 269명으로 증가되고, 집단선량 man-cSv는 근사적으로 14%만큼 증가된다.