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End-users’ expectations and experiences with the decisionsupport system MOIRA-PLUS

Published online by Cambridge University Press:  16 September 2010

E. Gallego
Affiliation:
Nuclear Engineering Department, E.T.S. Ing. Industriales, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006 Madrid, Spain. e-mail: [email protected]
L. Monte
Affiliation:
ENEA, CR Casaccia, via P. Anguillarese, 301, CP 2400, 00100 Roma AD, Italy
D. Hofman
Affiliation:
Ö. Kyrkogatan 35, 61133 Nyköping, Sweden
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Abstract

MOIRA-PLUS is a decision support system (DSS) designed to address the mid and long-termissues after nuclear accidents causing the contamination of freshwater bodies andcatchments with radionuclides. It is designed to allow for a reliable assessment of thelong-term evolution of the radiological situation and of possible alternativerehabilitation strategies, including an objective evaluation of their social, economic andecological impacts in a rational and comprehensive manner. MOIRA also features a decisionanalysis methodology, making use of multi-attribute analysis, which can take into accountthe preferences and needs of different types of stakeholders. The main functions andelements of the MOIRA-PLUS DSS are described summarily, together with the conclusions fromend-user’s experiences with the system. MOIRA-PLUS has proven to be a mature system, userfriendly and relatively easy to set up. It can help to reassure the public by enabling arealistic evaluation of the complete impacts of possible recovery strategies. However, theusers also identified possibilities for further improvement of the DSS.

Type
Article
Copyright
© EDP Sciences, 2010

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References

Ahlbrecht, M., Borodin, R., Borzenko, V., Ehrhardt, J., French, S., Shershakov, V., Sohier, A., Trakhtengerts, E., Verbruggen, A. (1997) Decision support issues in RODOS: the needs of decision makers, Radiat. Prot. Dosim. 73, 81-84.CrossRefGoogle Scholar
Gallego E., Jiménez F. (2000), Radiation Dose and Countermeasure Model for a Decision Support System on Freshwater Ecosystems Contaminated with Radionuclides. In: 10th International Congress of the International Radiation Protection Association (IRPA-10), Hiroshima, Japan, May 14-19, 2000, Available at http://www2000.irpa.net/irpa10/cdrom/00398.pdf.
Gallego, E., Magán, M., Cadierno, J.P.G., Gil, E., Monte, L., Hofman, D. (2009) Long-term management of contaminated freshwater bodies and catchments. Decision making exercise with the MOIRA system, Radioprotection 44, 683-688.CrossRefGoogle Scholar
Håkanson L., Peters R.H. (1995) Predictive Limnology, first edn. SPB Academic Publishing, Amsterdam, 464 p.
Håkanson, L., Gallego, E., Ríos-Insúa, S. (2000) The application of the lake ecosystem index in multi-attribute decision analysis in radioecology, J. Env. Radioact. 49, 319-344.CrossRefGoogle Scholar
Håkanson L., Monte L. (2003) Radioactivity in lakes and rivers. In: Modelling Radioactivity in the Environment, (Scott, E.M., Ed.), pp.147-200. Elsevier, Oxford.
Håkanson, L., Sazykina, T. (2001) A blind test of the MOIRA lake model for radiocesium for Lake Uruskul, Russia, contaminated by fallout from the Kyshtym accident in 1957, J. Environ. Radioact. 54, 327-344.CrossRefGoogle ScholarPubMed
Hofman D. (2004) MOIRA DSS – Architecture, model integration and user interface design. In: Complexity and Integrated Resources Management, Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society, IEMSS, Manno, Switzerland. (Pahl-Wostl C., Schmidt S., Rizzoli A.E., Jakeman A.J., Eds.).
Hofman D. (2005) LIANA model integration system – architecture, user interface design and application in MOIRA DSS. In: Advance in Geosciences 4, Model integration and development of modular modelling systems. (Krause P., Kralisch S., Flügel W.-A., Eds.), pp. 9-16, http://www.copernicus.org/EGU/adgeo/4/adgeo-4-9.pdf.
Hofman D. et al. (2005) EC Computerised Systems in the Field of Hydrological Dispersion Modelling and Aquatic Radioecological Research: State-of-the-art, End-user Experiences and Recommendations for Improvements. In: Evaluation and network of EC-Decision Support Systems in the field of hydrological dispersion models and of aquatic radioecological research. ENEA, RT/2005/49/PROT, Rome. (Monte L., Hofman D., Brittain J., Eds), pp. 203-322.
Monte L., van der Steen J., Bergstroem U., Gallego E., Brittain J., Håkanson L. (2000) The Project MOIRA: A Model-Based Computerised System for Management Support to Identify Optimal Remedial Strategies for Restoring Radionuclide Contaminated Aquatic Ecosystems and Drainage Areas. Final Report. Ente per le Nuove Tecnologie, l’Energia e l’Ambiente (ENEA), RT/AMB/2000/13, Rome.
Monte L., Kozhouharov V., Zheleznyak M., Kryshev I., Voitsekhovitch O., Brittain J., Gallego E., Håkanson L. (2002) Implementing Computerised Methodologies to Evaluate the Effectiveness of Countermeasures for Restoring Radionuclide Contaminated Fresh Water Ecosystems. COMETES Project. Final Report. Ente per le Nuove Tecnologie, l’Energia e l’Ambiente (ENEA), RT/AMB/2001/28, Rome.
Monte, L., Brittain, J.E., Håkanson, L., Heling, R., Smith, J.T., Zheleznyak, M. (2003) Review and assessment of models used to predict the fate of radionuclides in lakes, J. Environ. Radioact. 69, 177-205.CrossRefGoogle ScholarPubMed
Monte, L., Brittain, J.E., Håkanson, L., Smith, J.T., van der Perk, M. (2004) Review and assessment of models used to predict the migration of radionuclides from catchments, J. Environ. Radioact. 75, 83-103.CrossRefGoogle Scholar
Monte, L., Brittain, J.E., Håkanson, L., Smith, J.T., Boyer, P., Lepicard, S. (2005) Review and assessment of models used to predict the migration of radionuclides through rivers, J. Environ. Radioact. 79, 273-296.CrossRefGoogle ScholarPubMed
Monte L., Hofman D., Brittain J. (2005) Evaluation and network of EC-Decision Support Systems in the field of hydrological dispersion models and of aquatic radioecological research. ENEA, RT/2005/49/PROT, Rome.
Monte, L., Brittain, J.E., Gallego, E., Håkanson, L., Hofman, D., Jiménez, A. (2009) MOIRA-PLUS: A decision support system for the management of complex fresh water ecosystems contaminated by radionuclides and heavy metals, Computers and Geosciences, 35, 880-896.Google Scholar
Raskob, W. (2007) European approach to nuclear and radiological emergency management and rehabilitation strategies (EURANOS), Kerntechnik 72, 179-182.CrossRefGoogle Scholar
Ríos-Insúa, S., Gallego, E., Jiménez, A., y Mateos, A. (2006) A Multi-Attribute Decision Support System for selecting environmental intervention strategies for radionuclide contaminated freshwater ecosystems, Ecol. Modell. 196, 195-208.CrossRefGoogle Scholar
Schulte E.-H., Kelly G.N., Jackson C.A. (2002) Decision support for emergency management and environmental restoration. European Commission, EUR19793, Luxembourg, 55 p.