Occupational exposure during remediation works at a uranium tailings pile

J Environ Radioact. 2013 May:119:63-9. doi: 10.1016/j.jenvrad.2012.08.009. Epub 2012 Sep 10.

Abstract

The aim of this study was to assess by different approaches the occupational exposure during the remediation of a tailings dam in an abandoned uranium mining site, with an area of about 13.3 ha and an estimated volume of 1.39 million m³. A hypothetical scenario was created in which the workers involved in the remediation activities were exposed to radiation through both internal and external pathways. It was intended to assess quantitatively the potential exposure of the workforce involved in the remediation works, focussing particularly on the inhalation of radon and on the gamma irradiation from the contaminated soil. Different methodologies were considered based on a deterministic and a probabilistic approach for dose assessment and risk assessment, respectively. The deterministic approach typically employs a highly "conservative" single value for each input parameter. The probabilistic approach employs sensitivity and uncertainty analysis of input parameters using probabilistic distributions of the sensitive parameters. The results indicate that annual effective dose limit for occupational exposure (worst scenario case created) may reach a significant fraction of occupational radiation protection limits. This is also stressed by the values obtained for the occupational risk estimated by Monte Carlo methodology using probabilistic distributions for the input parameters. The results also showed that the pathway with the highest dose does not necessarily correspond to the pathway with the highest risk. Nevertheless, it is well known that probabilistic analysis generally produces more realistic results.

MeSH terms

  • Environmental Restoration and Remediation*
  • Mining*
  • Monte Carlo Method
  • Occupational Exposure / analysis*
  • Radiation Dosage
  • Radiation Monitoring / methods*
  • Radioactive Pollutants / analysis*
  • Risk Assessment
  • Uncertainty
  • Uranium / analysis*

Substances

  • Radioactive Pollutants
  • Uranium