Accès gratuit
Volume 45, Numéro 5, 2010
Enhancing nuclear and radiological emergency management and rehabilitation:
Key Results of the EURANOS European Project
Page(s) S161 - S169
Section Articles
Publié en ligne 16 septembre 2010
  • Astrup P., Turcanu C., Puch R.O., Rojas-Palma C., Mikkelsen T. (2004) Data assimilation in the early phase: Kalman filtering Rimpuff, Report Risø-R-1466(EN). Risø National Laboratory, Roskilde, Denmark. [Google Scholar]
  • Ehrhardt J., Weis A. (2000) RODOS: Decision support for off-site nuclear emergency management in Europe, Report EUR 19144 EN. European Commission, Luxembourg. [Google Scholar]
  • European Commission (2006) “Guidance on model adaptation driven by monitoring data”, the work package CAT1RTD12 in the integrated project European Approach to Nuclear and Radiological Emergency Management and Rehabilitation Strategies (EURANOS) of the Sixth Framework Programme of the European Union (Contract number: FI6R-CT-2004-508843). [Google Scholar]
  • French S., Smith J.Q. (1997) The Practice of Bayesian Analysis, Arnold, UK. [Google Scholar]
  • Hoe S., Müller H., Thykier Nielsen S. (2000) Integration of dispersion and radio-ecological modelling in ARGOS NT. In: Proceedings of the 10th International Congress of the International Radiation Protection Association – Harmonization of Radiation, Human Life and the Ecosystem, May 14-19, 2000, Hiroshima, Paper P-11-288, 7 p. [Google Scholar]
  • Kaiser J.C., Pröhl G. (2007) Harnessing monitoring measurements in urban environments for decision making after nuclear accidents, Kerntechnik 72, 218-221. [Google Scholar]
  • Kaiser J.C. et al. (2010) Data assimilation approaches in the EURANOS projet, Radioprotection 45, S123-S131. [CrossRef] [EDP Sciences] [Google Scholar]
  • Lahtinen J., Toivonen H., Hänninen R. (2007) Effective use of radiation monitoring data and dispersion calculations in an emergency, IJEM 4, 468-480. [CrossRef] [Google Scholar]
  • Meckbach R, Jacob P. (1988) Gamma exposures due to radionuclides deposited in urban environments. Part I: Kerma rates from contaminated urban surfaces, Radiat. Prot. Dosim. 25, 167-179. [Google Scholar]
  • Meckbach R., Jacob P., Paretzke H.G. (1988) Gamma exposures due to radionuclides deposited in urban environments. Part II: Location factors for different deposition patterns, Radiat. Prot. Dosim. 25, 181-190. [Google Scholar]
  • Quélo D., Sportisse B., Isnard O. (2005) Data assimilation for short range atmospheric dispersion of radionuclides: A case study of second-order sensitivity, J. Environ. Radioact. 84, 393-408. [CrossRef] [PubMed] [Google Scholar]
  • Raskob W. (2008) The real-time on-line decision support system RODOS. Presentation given in the training course Preparedness and response for nuclear and radiological emergencies, September 15-19, 2008, Mol, Belgium. [Google Scholar]
  • Rojas-Palma C., Madsen H., Gering F., Puch R., Turcanu C., Astrup P., Müller H., Richter K., Zheleznyak M., Treebushny D., Kolomeev M., Kamaev D., Wynn H. (2003) Data assimilation in the decision support system RODOS, Radiat. Prot. Dosim. 104, 31-40. [Google Scholar]
  • Wirth E., Kirchner G. (2008) One environmental monitoring strategy for emergency situations is enough. In: Proceedings of the International Conference on Radioecology & Environmental Radioactivity, June15-20, 2008, Bergen, Norway, Oral & Oral Poster Presentations, Part I (Strand P., Brown P., Jølle T., Eds.) pp. 158-161. Norwegian Radiation Protection Authority, Østerås, Norway. [Google Scholar]
  • Zähringer M., Wirth E. (2007) The interaction between off-site decision making, decision support systems, modelling and monitoring in a nuclear emergency situation, IJEM 4, 564-572. [CrossRef] [Google Scholar]

Les statistiques affichées correspondent au cumul d'une part des vues des résumés de l'article et d'autre part des vues et téléchargements de l'article plein-texte (PDF, Full-HTML, ePub... selon les formats disponibles) sur la platefome Vision4Press.

Les statistiques sont disponibles avec un délai de 48 à 96 heures et sont mises à jour quotidiennement en semaine.

Le chargement des statistiques peut être long.