Modelling the long-term consequences of a hypothetical dispersal of radioactivity in an urban area including remediation alternatives

K.M. Thiessen, Kasper Grann Andersson, B. Batandjieva, J.-J. Cheng, W.T. Hwang, J.C. Kaiser, S. Kamboj, M. Steiner, J. Tomas, D. Trifunovic, C. Yu

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    The Urban Remediation Working Group of the International Atomic Energy Agency's EMRAS (Environmental Modelling for Radiation Safety) program was organized to address issues of remediation assessment modelling for urban areas contaminated with dispersed radionuclides. The present paper describes the second of two modelling exercises. This exercise was based on a hypothetical dispersal of radioactivity in an urban area from a radiological dispersal device, with reference surface contamination at selected sites used as the primary input information. Modelling endpoints for the exercise included radionuclide concentrations and external dose rates at specified locations, contributions to the dose rates from individual surfaces, and annual and cumulative external doses to specified reference individuals. Model predictions were performed for a "no action" situation (with no remedial measures) and for selected countermeasures. The exercise provided an opportunity for comparison of three modelling approaches, as well as a comparison of the predicted effectiveness of various countermeasures in terms of their short-term and long-term effects on predicted doses to humans. (C) 2009 Elsevier Ltd. All rights reserved.
    Original languageEnglish
    JournalJournal of Environmental Radioactivity
    Volume100
    Issue number6
    Pages (from-to)445-455
    ISSN0265-931X
    DOIs
    Publication statusPublished - 2009

    Keywords

    • Radiation physics
    • Nuclear technologies

    Fingerprint

    Dive into the research topics of 'Modelling the long-term consequences of a hypothetical dispersal of radioactivity in an urban area including remediation alternatives'. Together they form a unique fingerprint.

    Cite this