Login / Signup

Assessment of doses in contaminated urban areas: modelling exercise based on Fukushima data.

Shogo TakaharaThomas W CharnockKampanart SilvaWon Tae HwangJoeun LeeCharley YuSunita KambojTamara YankovichKathleen M Thiessen
Published in: Journal of radiological protection : official journal of the Society for Radiological Protection (2022)
State-of-the-art dose assessment models were applied to estimate doses to the population in urban areas contaminated by the Fukushima Daiichi Nuclear Power Plant accident. Assessment results were compared among five models, and comparisons of model predictions with actual measurements were also made. Assessments were performed using both probabilistic and deterministic approaches. Predicted dose distributions for indoor and outdoor workers from a probabilistic approach were in good agreement with the actual measurements. In addition, when the models were applied to assess the doses to the representative person, based on a concept recommended by the International Commission on Radiological Protection and in the International Atomic Energy Agency Safety Standards, it was evident that doses to the representative person obtained with a deterministic approach were always higher than those obtained with a probabilistic approach using the same model.
Keyphrases
  • heavy metals
  • air pollution
  • drinking water
  • particulate matter
  • cross sectional
  • high intensity
  • machine learning
  • electronic health record
  • body composition
  • resistance training
  • health risk
  • clinical evaluation