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Assessing the Activity Concentration of Agricultural Products and the Public Ingestion Dose as Result of a Nuclear Accident

  • Keum, Dong-Kwon (Nuclear Environmental Safety Research Division, Korea Atomic Energy Research Institute) ;
  • Jeong, Hyojoon (Nuclear Environmental Safety Research Division, Korea Atomic Energy Research Institute) ;
  • Jun, In (Nuclear Environmental Safety Research Division, Korea Atomic Energy Research Institute) ;
  • Lim, Kwang-Muk (Nuclear Environmental Safety Research Division, Korea Atomic Energy Research Institute) ;
  • Choi, Yong-Ho (Nuclear Environmental Safety Research Division, Korea Atomic Energy Research Institute)
  • Received : 2018.03.28
  • Accepted : 2018.06.12
  • Published : 2018.06.30

Abstract

Background: A model to assess the activity concentration of agricultural products and the public ingestion dose as result of a nuclear accident is necessarily required to manage the contaminated agricultural systems by the accident, or to estimate the effects of chronic exposure due to food ingestion at a Level 3 PSA. Materials and Methods: A dynamic compartment model, which is composed of three sub-modules, namely, an agricultural plant contamination assessment model, an animal product contamination assessment model, and an ingestion dose assessment model has been developed based on Korean farming characteristics such as the growth characteristics of rice and stockbreeding. Results and Discussion: The application study showed that the present model can predict well the characteristics of the activity concentration for agricultural products and ingestion dose depending on the deposition date. Conclusion: The present model is very useful to predict the radioactivity concentration of agricultural foodstuffs and public ingestion dose as consequence of a nuclear accident. Consequently, it is expected to be used effectively as a module for the ingestion dose calculation of the Korean agricultural contamination management system as well as the Level 3 PSA code, which is currently being developed.

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

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