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Estimation of the uncertainty in internal dose calculation for two contamination cases
E Blanchardon1, A Molokanov, D Franck
1IRSN-Institute for Radiological Protection and Nuclear Safety, Internal Dosimetry Department, IRSN/DRPH/SDI, B.P. 17, F-92262 Fontenay-aux-Roses Cedex, France. eric.blanchardon@irsn.fr
Radiation Protection Dosimetry
|January 24, 2007
Summary
Internal dose assessment uncertainty is reduced by reporting confidence intervals. This method considers intake date, material properties, counting errors, and excretion variability for improved accuracy in radiation dose evaluations.
Area of Science:
- Radiological protection
- Dosimetry
- Nuclear safety
Background:
- Internal dose assessment involves significant uncertainty due to measurement limitations and expert assumptions.
- Quantifying this uncertainty is crucial for accurate radiological risk assessment.
Purpose of the Study:
- To develop and present a methodology for reporting confidence intervals in internal dose assessments.
- To address uncertainties arising from intake parameters, material characteristics, and biological variability.
Main Methods:
- Incorporation of uncertainties related to intake date, physico-chemical properties of radionuclides, counting errors, and excretion variability.
- Development of three approximation levels for dose evaluation, with increasing parameter realism.
- Application of Monte Carlo simulation for dose calculation, generating a statistical distribution of potential dose values.
Main Results:
- A novel approach for quantifying and reporting confidence intervals in internal dose calculations has been established.
- The methodology was successfully applied to case studies involving uranium and caesium exposure.
- The results demonstrate the feasibility of providing a statistical distribution of possible dose values.
Conclusions:
- The proposed method enhances the reliability of internal dose assessments by explicitly addressing and quantifying uncertainties.
- This approach provides a more comprehensive understanding of potential radiation doses, aiding in better risk management decisions.
- The confidence interval reporting is valuable for regulatory purposes and for informing individuals about their exposure.
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