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Decision Analytic Framework for a Decision Support System for Nuclear Emergency Management

  • Simon FrenchEmail author
  • Jim Smith
Chapter

Abstract

The Chernobyl Accident led to major R&D activities across Europe to ensure that our response to such incidents was harmonised and comprehensive. Many have contributed to the construction of RODOS, a comprehensive decision support system, now widely used across Europe. We discuss our involvement in the design of methodology for uncertainty handling, data assimilation and evaluation used within RODOS and assess its success.

Keywords

Decision Support System Data Assimilation Constraint Satisfaction Chernobyl Accident Atmospheric Dispersion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Bertsch, V., French, S., Geldermann, J., Hämäläinen, R.P., Papamichail, K.N., Rentz, O.: Multi-criteria decision support and evaluation of strategies for environmental remediation management. OMEGA 37(1), 238–251 (2009)CrossRefGoogle Scholar
  2. 2.
    French, S., Papamichail, K.N., Ranyard, D.C., Smith, J.Q.: Design of a decision support system for use in the event of a nuclear emergency. In: Giron, F.J. (ed.) Applied Decision Analysis, pp. 3–18. Kluwer, Dordrecht (1998)CrossRefGoogle Scholar
  3. 3.
    Papamichail, K.N., French, S.: 25 years of MCDA in nuclear emergency management. IMA J. Manag. Math. 24(4), 481–503 (2013)MathSciNetCrossRefzbMATHGoogle Scholar
  4. 4.
    Smith, J.Q., French, S.: Bayesian updating of atmospheric dispersion models for use after an accidental release of radiation. Statistician 42, 501–511 (1993)CrossRefGoogle Scholar
  5. 5.
    Special Issue of radioprotection. Enhancing nuclear and radiological emergency management and rehabilitation: key results of the EURANOS European project. 45(5), S1–S7 (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of StatisticsUniversity of WarwickCoventryUK

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