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MOIRA: A decision support system for decision making on aquatic ecosystems contaminated by radioactive fallout

Author

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  • D. Ríos Insua
  • E. Gallego
  • A. Mateos
  • S. Ríos-Insua

Abstract

Interventions to restore radionuclide contaminated aquatic ecosystems may reduce individual and collective radiation doses, but may also result in detrimental ecological, social and economic effects. Decision makers must carefully evaluate possible impacts before choosing a countermeasure, hence decision analysis methods constitute an important aid to rank intervention strategies after the contamination of an aquatic ecosystem. We describe MOIRA, a decision support system for the identification of optimal remedial strategies to restore water systems after accidental introduction of radioactive substances. MOIRA includes an evaluation module based on a multi-attribute value model to rank alternatives and a module to perform multiparametric sensitivity analyses, both with respect to weights and values, to allow us to gain insights into the problem. The problem is under certainty since the validation of models used to quantify countermeasure impacts suggests little uncertainty in policy effects. The system is implemented in a PC based decision support system which allows the inclusion of all relevant information. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • D. Ríos Insua & E. Gallego & A. Mateos & S. Ríos-Insua, 2000. "MOIRA: A decision support system for decision making on aquatic ecosystems contaminated by radioactive fallout," Annals of Operations Research, Springer, vol. 95(1), pages 341-364, January.
    • Handle: RePEc:spr:annopr:v:95:y:2000:i:1:p:341-364:10.1023/a:1018910326129
    DOI: 10.1023/A:1018910326129
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    Cited by:

    1. Kangas, Annika S. & Kangas, Jyrki, 2004. "Probability, possibility and evidence: approaches to consider risk and uncertainty in forestry decision analysis," Forest Policy and Economics, Elsevier, vol. 6(2), pages 169-188, March.
    2. Mateos, A. & Jimenez, A. & Rios-Insua, S., 2006. "Monte Carlo simulation techniques for group decision making with incomplete information," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1842-1864, November.
    3. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.
    4. I. Linkov & F. K. Satterstrom & G. Kiker & T. P. Seager & T. Bridges & K. H. Gardner & S. H. Rogers & D. A. Belluck & A. Meyer, 2006. "Multicriteria Decision Analysis: A Comprehensive Decision Approach for Management of Contaminated Sediments," Risk Analysis, John Wiley & Sons, vol. 26(1), pages 61-78, February.
    5. A Mateos & S Ríos-Insua & A Jiménez, 2007. "Dominance, potential optimality and alternative ranking in imprecise multi-attribute decision making," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(3), pages 326-336, March.

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