미국의 원전해체 지침서인 MARSSIM과 MARLAP에서는 의사결정 전 부지조사를 계획하고, 계획한 조사를 시행하는데 Data Life Cycle의 사용을 권장하고 있다. 부지조사 계획단계에서 설정되는 데이터품질목표(DQO)는 부지조사 수행 및 설계의 모든 측면에서 얻을 수 있는 데이터를 최선으로 활용하는 방법을 제시하고, 부지조사 계획을 체계화하여 공식적으로 중요한 의사결정을 내리는데 필요한 정보를 얻을 수 있도록 한다. DQO의 일곱 과정 중 5~7단계에서는 앞선 단계에서 수집한 정보를 이용하여 합리적이고 신뢰성있는 의사결정을 내릴 수 있도록 부지조사를 설계하는 과정이다. 이 과정 중 설정되는 회색영역은 관심핵종에 대한 조사단위의 평균농도가 실제로 DCGL을 초과하지 않음에도 불구하고, 초과한다고 판단하여 제염활동과 같은 추가적인 활동을 하도록 결정내리는 Type II 의사결정 오류로 인한 결과가 미약할 것으로 생각되는 농도범위로 정의된다. 회색영역은 부지에서 수집한 Sample에 속한 특정 핵종의 평균농도와, 규제한도로서 설정될 수 있는 잔류방사능 유도농도(DCGL)를 이용하여 정할 수 있다. 회색영역을 설정함으로써 가장 자원효율적으로 부지조사계획을 설정할 수 있으며 의사결정 오류에 대한 영향을 최소화 할 수 있다. 선행연구로 도출된 고리 1호기의 DCGL을 이용하여 회색영역을 설정하고, 이를 이용해 올바른 의사결정을 내릴 수 있도록 하는 Sample의 농도평가 방법을 제시하였다.

To establish initial response scenarios for nuclear accidents around the Kori nuclear power plants, the potential for radionuclide diffusion was estimated using numerical experiments and statistical techniques. This study used the numerical model WRF (Weather Research and Forecasting) and FLEXPART (Flexible Particle dispersion model) to calculate the three-dimensional wind field and radionuclide dispersion, respectively. The wind patterns observed at Gijang, near the plants, and at meteorological sites in Busan, were reproduced and applied to estimates of seasonally averaged wind fields. The distribution of emitted radionuclides are strongly associated with characteristics of topography and synoptic wind patterns over nuclear power plants. Since the terrain around the power plants is complex, estimates of radionuclide distribution often produce unexpected results when wind data from different sites are used in statistical calculations. It is highly probable that in the summer and autumn, radionuclides move south-west, towards the downtown metropolitan area. This study has clear limitations in that it uses the seasonal wind field rather than the daily wind field.

The characteristics of atmospheric dispersion of radioactive material (i.e. 137Cs) related to local wind patterns around the Kori nuclear power plant (KNPP) were studied using WRF/HYSPLIT model. The cluster analysis using observed winds from 28 weather stations during a year (2012) was performed in order to obtain representative local wind patterns. The cluster analysis identified eight local wind patterns (P1, P2, P3, P4-1, P4-2, P4-3, P4-4, P4-5) over the KNPP region. P1, P2 and P3 accounted for 14.5%, 27.0% and 14.5%, respectively. Both P1 and P2 are related to westerly/northwesterly synoptic flows in winter and P3 includes the Changma or typhoons days. The simulations of P1, P2 and P3 with high wind velocities and constant wind directions show that 137Cs emitted from the KNPP during 0900~1400 LST (Local Standard Time) are dispersed to the east sea, southeast sea and southwestern inland, respectively. On the other hands, 5 sub-category of P4 have various local wind distributions under weak synoptic forcing and accounted for less than 10% of all. While the simulated 137Cs for P4-2 is dispersed to southwest inland due to northeasterly flows, 137Cs dispersed northward for the other patterns. The simulated average 137Cs concentrations of each local wind pattern are 564.1~1076.3 Bqm-3. The highest average concentration appeared P4-4 due to dispersion in a narrow zone and weak wind environment. On the other hands, the lowest average concentration appeared P1 and P2 due to rapid dispersion to the sea. The simulated 137Cs concentrations and dispersion locations of each local wind pattern are different according to the local wind conditions.