Emergency preparedness for the accidental release of radionuclides from the Uljin Nuclear Power Plant in Korea

Publication date: December 2017
Source:Journal of Environmental Radioactivity, Volume 180
Author(s): Soon-Ung Park, In-Hye Lee, Seung Jin Joo, Jae-Won Ju
Site specific radionuclide dispersion databases were archived for the emergency response to the hypothetical releases of ¹³⁷Cs from the Uljin nuclear power plant in Korea. These databases were obtained with the horizontal resolution of 1.5 km in the local domain centered the power plant site by simulations of the Lagrangian Particle Dispersion Model (LPDM) with the Unified Model (UM)–Local Data Assimilation Prediction System (LDAPS). The Eulerian Dispersion Model–East Asia (EDM–EA) with the UM–Global Data Assimilation Prediction System (UM-GDAPS) meteorological models was used to get dispersion databases in the regional domain. The LPDM model was performed for a year with a 5-day interval yielding 72 synoptic time-scale cases in a year. For each case hourly mean near surface concentrations, hourly mean column integrated concentrations, hourly total depositions for 5 consecutive days were archived by the LPDM model in the local domain and by the EDM-EA model in the regional domain of Asia. Among 72 synoptic cases in a year the worst synoptic case that showed the highest mean surface concentration averaged for 5 days in the LPDM model domain was chosen to illustrate the emergency preparedness to the hypothetical accident at the site. The simulated results by the LPDM model with the ¹³⁷Cs emission rate of the Fukushima nuclear power plant accident for the first 5-day period were found to be able to provide prerequisite information for the emergency response to the early phase of the accident whereas those of the EDM-EA model could provide information required for the environmental impact assessment of the accident in the regional domain. The archived site-specific database of 72 synoptic cases in a year could have a great potential to be used as a prognostic information on the emergency preparedness for the early phase of accident.

Graphical abstract

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