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VARIATION IN RADIATION DOSE RATES FROM RADIONUCLIDES DISCHARGED BY THE SPENT NUCLEAR FUEL REPROCESSING PLANT IN

K Abe1, K Oshima1,2, J H Chiang3

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Summary
This summary is machine-generated.

This study assessed radiation dose rates from a Japanese nuclear plant, revealing annual maximums varied by approximately 1.3 times between 1959-2012. This highlights the importance of considering yearly weather variations in radiation dose assessments.

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Area of Science:

  • Environmental Science
  • Nuclear Engineering
  • Radiological Protection

Background:

  • Previous assessments of radiation dose rates from the Rokkasho spent nuclear fuel reprocessing plant used a single year's weather data.
  • The year-to-year variability of annual radiation dose rates, influenced by changing weather conditions, has not been thoroughly investigated.

Purpose of the Study:

  • To develop and apply a model system for evaluating atmospheric radionuclide release dose rates.
  • To estimate the annual maximum radiation dose rate from 1959 to 2012, considering variations in weather conditions.

Main Methods:

  • A model system was constructed to evaluate dose rates from atmospheric radionuclide releases.
  • Radiation dose rates were estimated for 24 distinct weather conditions (weather bins) for a standard year.
  • Annual maximum dose rates were calculated by integrating the dose rates of each weather bin based on its estimated annual frequency for the target year (1959-2012).

Main Results:

  • The study estimated the annual maximum radiation dose rate from 1959 to 2012.
  • The ratio of the highest annual maximum dose rate to the lowest was found to be approximately 1.3.
  • This indicates a moderate but quantifiable variation in potential radiation exposure due to weather patterns over time.

Conclusions:

  • The year-to-year variation in annual maximum radiation dose rate is relatively small but significant for accurate risk assessment.
  • The developed model provides a more realistic estimation of radiation exposure by incorporating meteorological variability.
  • Continuous monitoring and refined modeling are crucial for ensuring the safety of nuclear fuel reprocessing operations.