Assessing emergency situations and their aftermath in urban areas: The EMRAS II Urban Areas Working Group

Autor: K.M. Thiessen, K.G. Andersson, V. Berkovskyy, T.W. Charnock, S.L. Chouhan, G. de With, J. Ďúran, V. Fuka, J. Helebrant, J. Hůlka, W.T. Hwang, P. Kuča, F. Mancini, E. Navarro, R. Periáñez, Z. Prouza, G. Sdouz, J. Tomás, D. Trifunović, L. Urso, H. Walter
Přispěvatelé: Universidad de Sevilla. Departamento de Física Aplicada I, Universidad de Sevilla. RNM138: Física Nuclear Aplicada
Předmět:
Zdroj: Technical University of Denmark Orbit
Thiessen, K M, Andersson, K G, Berkovskyy, V, Charnock, T W, Chouhan, S, de With, G, Duran, J, Fuka, V, Helebrant, J, Hukla, J, Hwang, W T, Kuca, P, Malatova, I, Mancini, F, Navarro, E, Perianez, R, Sdouz, G, Tomas, J, Trifunovic, D, Urso, L & Walter, H 2011, ' Assessing emergency situations and their aftermath in urban areas: The EMRAS II Urban Areas Working Group ', 2nd International Conference on Radioecology & Environmental Radioactivity, Hamilton, Canada, 19/06/2011-24/06/2011 .
Radioprotection 46, 601-607 (2011)
Popis: The Urban Areas Working Group is part of the International Atomic Energy Agency’s EMRAS II (Environmental Modelling for Radiation Safety) Programme. The goal of this Working Group is to test and improve the capabilities of models used in assessment of radioactive contamination in urban settings, including dispersion and deposition events, short- and long-term contaminant redistribution following deposition events, and potential countermeasures or remediation efforts for reducing human exposures and doses. The Working Group has developed three modeling exercises, which are designed to permit intercomparison of model predictions and, in one case, comparison of model predictions with measurements. This paper describes the scenarios and provides comparisons of initial modeling results. Reasons for similarities and discrepancies among model predictions are discussed in terms of the modeling approaches, models, and parameter values used by different assessors. Preliminary conclusions emphasize the value of explaining individual approaches and the importance of understanding the effects of different assumptions and parameter values on the modeling results.
Databáze: OpenAIRE