Published July 2009 | Version v1
Journal article

Modelling remediation options for urban contamination situations

  • 1. SENES Oak Ridge, Inc., Center for Risk Analysis, 102 Donner Drive, Oak Ridge, TN 37830 (United States)
  • 2. Riso National Laboratory for Sustainable Energy, Technical University of Denmark, P.O. Box 49, DK-4000 Roskilde (Denmark)
  • 3. Health Protection Agency (HPA), OX11 0RQ Chilton, Didcot, Oxfordshire (United Kingdom)
  • 4. Institut de Radioprotection et de Surete Nucleaire (IRSN), BP 17-92262 Fontenay-aux-Roses, Cedex (France)

Description

The impact on a population from an event resulting in dispersal and deposition of radionuclides in an urban area could be significant, in terms of both the number of people affected and the economic costs of recovery. The use of computer models for assessment of urban contamination situations and remedial options enables the evaluation of a variety of situations or alternative recovery strategies in contexts of preparedness or decision-making. At present a number of models and modelling approaches are available for different purposes. This paper summarizes the available modelling approaches, approaches for modelling countermeasure effectiveness, and current sources of information on parameters related to countermeasure effectiveness. Countermeasure information must be applied with careful thought as to its applicability for the specific situation being modelled. Much of the current information base comes from the Chernobyl experience and would not be applicable for all types of situations.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jenvrad.2009.03.021

Additional details

Identifiers

DOI
10.1016/j.jenvrad.2009.03.021;
PII
S0265-931X(09)00072-1;

Publishing Information

Journal Title
Journal of Environmental Radioactivity
Journal Volume
100
Journal Issue
7
Journal Page Range
p. 564-573
ISSN
0265-931X
CODEN
JERAEE

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41044529
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
COMPUTERIZED SIMULATION; CONTAMINATION; HUMAN POPULATIONS; RADIOISOTOPES; REMEDIAL ACTION; URBAN AREAS
Descriptors DEC
ISOTOPES; POPULATIONS; SIMULATION

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.