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Biological Effects of Radiation02:59

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Assessment of risk to wildlife from ionising radiation: can initial screening tiers be used with a high level of

N A Beresford1, A Hosseini, J E Brown

  • 1Centre for Ecology & Hydrology Lancaster, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster LA1 4AP, UK. nab@ceh.ac.uk

Journal of Radiological Protection : Official Journal of the Society for Radiological Protection
|June 10, 2010
PubMed
Summary
This summary is machine-generated.

Comparing environmental radioactivity models reveals significant variability in risk quotient (RQ) estimates. This inconsistency hinders confidence in identifying negligible concern sites, necessitating further investigation into assessment factors.

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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

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Area of Science:

  • Environmental Science
  • Radiological Protection
  • Risk Assessment

Background:

  • Tiered assessment models are used to evaluate environmental impacts of radioactivity releases.
  • Initial assessment tiers aim for conservative, simple screening to identify negligible concern sites.
  • Consistent and reliable screening is crucial for regulatory and environmental management decisions.

Purpose of the Study:

  • To compare the screening assessment outputs of three freely available environmental radioactivity models.
  • To identify sources of variability in risk quotient (RQ) estimations between different models.
  • To assess the impact of model variability on the confidence in identifying sites of negligible concern.

Main Methods:

  • Comparative analysis of screening assessment outputs from three distinct, freely available models.
  • Evaluation of estimated risk quotient (RQ) values and identification of limiting radionuclide-organism combinations.
  • Analysis of contributing factors to variability, including transfer parameters, organism selection, input options, and assumptions.

Main Results:

  • Considerable variation was observed in estimated risk quotient (RQ) values across the three models.
  • Differences in limiting radionuclide-organism combinations were noted between model outputs.
  • Key factors contributing to variability include transfer parameters, organism scope, input utilization, equilibrium assumptions, and exposure scenarios.

Conclusions:

  • The significant variation in RQ values undermines the confidence required by users in screening assessments.
  • Further investigation into the factors causing variability is essential for a better understanding of screening assessment outputs.
  • Improved understanding will enable assessors and reviewers to more effectively justify and evaluate assessment results.