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.
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Notes
- 1.
CRIRAD participates in GT PRIME’s work as a consultant in order to express its vision of the contaminated areas and what needs to be protected. However CRIRAD’s participation does not include approving the methodological software that implements the results of this consultation.
References
Barde, C., Mercat-Rommens, C., Baumont, G., & Bachimon, P. (2007). Une construction concertée d’indicateurs spatiaux pour la gestion d’un territoire accidenté. In M. Batton-Hubert, T. Joliveau, & S. Lardon (Eds.), SAGEO’2007, Colloque International de Géomatique et d’Analyse Spatiale. Clermont-Ferrand: Saint-Etienne.
Chakhar, S., Mercat-Rommens, C., & Mousseau, V. (2008). Cartographie multicritère de la sensibilité radioécologique: projet PRIME. In Conférence OPDE’2008 “Les nouveaux Outils Pour Décider Ensemble”, Québec.
Dias, L., Mousseau, V., Figueira, J., & Clímaco, J. (2002). An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI. European Journal of Operational Research, 138(2), 332–348.
Genty, A., & Brignon, J. (2008). Caractérisation des critères socio-économiques dans le cadre de l’analyse multicritère du projet PRIME. Rapport d’étude INERIS no DRC-08-91439-11003A, Verneuil-en-Halatte, France, 31 pp.
MEDAD. (2007). Evaluations socio-économiques des instruments de prévention des inondations. Collection “Etudes et synthèses” du Ministère de l’Environnement, Paris.
Mercat-Rommens, C., Chakhar, S., Barde, C., Roussel-Debet, S., & Mousseau, V. (2008). Towards a shared method to classify contaminated territories in the case of an accidental nuclear event: the PRIME Project. In SRA2008 conference. Risk analysis VI. WIT transactions on information and communication (vol. 39).
Mousseau, V., Slowinski, R., & Zielniewicz, P. (2000). A user-oriented implementation of the ELECTRE TRI method integrating preference elicitation support. Computers & Operations Research, 27(7–8), 757–777.
Niel, J.-C., & Godet, J.-L. (2008). Development of a national doctrin for the management of the post-accident phase of a radiological emergency situation. Revue Contrôle, Autorité de Sûreté Nucléaire, Paris (pp. 2–8)
Noucher, M. (2007). Coproduction de données géographiques: pourquoi, comment et avec qui? In M. Batton-Hubert, T. Joliveau, and S. Lardon, editors, SAGEO’2007, Colloque International de Géomatique et d’Analyse Spatiale. Clermont-Ferrand: Saint-Etienne.
Roy, B. (1996). Multicriteria methodology for decision aiding. Dordrecht: Kluwer Academic.
Simos, J. (1997). Evaluer l’impact sur l’environnement (261 pp). Lausanne: Presses Polytechniques et Universitaires Romandes.
Venzal-Barde, C. (2008). Les outils SIG au service de la gestion d’un territoire contaminé. In Conférence SIG 2008, Versailles.
References
Beyth-Marom, R. (1982). How probable is probable? a numerical translation of verbal probability expressions. Journal of Forecasting, 1, 257–269.
Damart, S., Dias, L., & Mousseau, V. (2007). Supporting groups in sorting decisions: Methodology and use of a multi-criteria aggregation/disaggregation DSS. Decision Support Systems, 43(4), 1464–1475.
Phillips, L., & Bana e Costa, C. (2007). Transparent prioritisation, budgeting and resource allocation with multi-criteria decision analysis and decision conferencing. Annals of Operations Research, 154(1), 51–68.
Schein, E. (1999). Process consultation revisited: Building the helping relationship. Reading: Addison Wesley.
Simos, J. (1997). Evaluer l’impact sur l’environnement. Lausanne: Presses Polytechniques et Universitaires Romandes.
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Mercat-Rommens, C., Chakhar, S., Chojnacki, E., Mousseau, V. (2015). Coupling GIS and Multi-Criteria Modeling to Support Post-Accident Nuclear Risk Evaluation. In: Bisdorff, R., Dias, L., Meyer, P., Mousseau, V., Pirlot, M. (eds) Evaluation and Decision Models with Multiple Criteria. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46816-6_13
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