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Coupling GIS and Multi-Criteria Modeling to Support Post-Accident Nuclear Risk Evaluation

In: Evaluation and Decision Models with Multiple Criteria

Author

Listed:
  • Catherine Mercat-Rommens

    (Centre d’études de Cadarache)

  • Salem Chakhar

    (University of Portsmouth)

  • Eric Chojnacki

    (Centre d’études de Cadarache)

  • Vincent Mousseau

    (Ecole Centrale Paris, Grande Voie des Vignes)

Abstract

In case of an accident concerning a nuclear installation, two intervention phases are distinguished: an emergency phase which calls for a rapid and organized response through intervention plans, and a post-accidental phase in which postponed actions are carried out on medium and/or long-term so that the situation comes back to a state judged as acceptable by stakeholders. The PRIME project has developed a decision aiding tool for risk managers involved in an industrial accident involving radioactive substances, through the evaluation of radio-ecological sensitivity of a territory in a post-accidental phase. The proposed decision aiding tool is grounded on the integration of Multiple Criteria Decision Aid (MCDA) and a Geographical Information System (GIS). The proposed methodology relies on the concept of decision map which corresponds to a planar subdivision of the territory in which each subdivision is evaluated on the basis of several criterion maps. This results in a set of disjoint spatial units evaluated on an ordinal scale using the ELECTRE TRI method. Hence, the result is a decision map representing the radio-ecological sensitivity of the territory; such maps prove to be very useful for stakeholders to design relevant post-accidental strategies.

Suggested Citation

  • Catherine Mercat-Rommens & Salem Chakhar & Eric Chojnacki & Vincent Mousseau, 2015. "Coupling GIS and Multi-Criteria Modeling to Support Post-Accident Nuclear Risk Evaluation," International Handbooks on Information Systems, in: Raymond Bisdorff & Luis C. Dias & Patrick Meyer & Vincent Mousseau & Marc Pirlot (ed.), Evaluation and Decision Models with Multiple Criteria, edition 127, chapter 0, pages 401-428, Springer.
    • Handle: RePEc:spr:ihichp:978-3-662-46816-6_13
    DOI: 10.1007/978-3-662-46816-6_13
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    Citations

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    Cited by:

    1. Hu, Qiwei & Chakhar, Salem & Siraj, Sajid & Labib, Ashraf, 2017. "Spare parts classification in industrial manufacturing using the dominance-based rough set approach," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1136-1163.
    2. Raboun, Oussama & Chojnacki, Eric & Duffa, Céline & Insua, David Rios & Tsoukiàs, Alexis, 2020. "Spatial risk assessment in case of multiple nuclear release scenarios," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    3. Chakhar, Salem & Ishizaka, Alessio & Labib, Ashraf & Saad, Inès, 2016. "Dominance-based rough set approach for group decisions," European Journal of Operational Research, Elsevier, vol. 251(1), pages 206-224.

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