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  • Title: Ecological risk assessment of Central Asian mining sites: application of the ERICA assessment tool.
    Author: Oughton DH, Strømman G, Salbu B.
    Journal: J Environ Radioact; 2013 Sep; 123():90-8. PubMed ID: 23291039.
    Abstract:
    Recent field expeditions to Central Asian mining sites have provided a wealth of data on radionuclide and metal concentrations in environmental media. In this paper the ERICA assessment tool was used to provide an assessment of the potential doses to non-human biota at the various sites. The aim was to identify the most exposed organism types and the radionuclides giving rise to the greatest doses. The measured media and biota activity concentrations were also used to compare site-specific Kds and CRs with default tool parameters. At all terrestrial sites, the maximum doses (up to ca. 600 μGy/h) were seen in lichens and bryophytes, with concentrations of radium in soils dominating the assessments. Internal alpha dose from (226)Ra was the biggest dose contributor, representing between 72 and 97% of the total dose, with U isotopes as the next most significant contributor. For aquatic organisms the highest calculated doses were obtained for aquatic plants (ca. 100 μGy/h), followed by molluscs, crustacean, zooplankton and insect larva, based on at site environmental media data. For aquatic plants, the internal alpha doses from uranium isotopes dominated the dose at most of the sites, hence the highest doses were seen at sites with the highest U concentrations. While the measured and modelled concentrations were usually in reasonable agreement, particularly for U and Ra in terrestrial plants, there were some differences, most notably for U and Po in the aquatic environment. Modelled concentrations of U in aquatic plants tended to be higher than those measured in site samples; while Po in fish was greater than modelled concentrations. Furthermore, not all the organisms listed in the ERICA tool had been sampled at the sites. Nevertheless, the assessment results should be of great benefit in identifying priority areas for future field studies.
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