Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-30T21:20:33.394Z Has data issue: false hasContentIssue false

Key improvements in the simulation modelling for decisionsupport systems developed in the EURANOS project

Published online by Cambridge University Press:  16 September 2010

W. Raskob
Affiliation:
Karlsruhe Institute of Technology, Institut für Kern- und Energietechnik, Eggenstein-Leopoldshafen, Germany
F. Gering
Affiliation:
Bundesamt für Strahlenschutz, München-Neuherberg, Germany
Get access

Abstract

One key issue in the EURANOS project was the methodological and technological improvementof decision support systems, in particular the RODOS system, with respect to the practicalapplication in operational emergency centres. The development process was mainly driven bythe result of demonstration activities and responses obtained from the end-users in theemergency centres. The intention of this article is to give an overview of all major workitems which have been performed within EURANOS with the aim of improving decision supportsystems. More details about several of these activities can be found in separate articlesin this issue.

Type
Article
Copyright
© EDP Sciences, 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

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).
LLNL (Lawrence Livermore National Laboratory) (2005) Hotspot Health Physics Code for the PC. Available at http://www.llnl.gov/nai/technologies/hotspot/
Venetsanos, A.G., Bartzis, J.G., Andronopoulos, S. (2004) One Equation Turbulence Modeling for Atmospheric and Engineering Applications, Boundary-Layer Meteorol. 113, 321-346.CrossRefGoogle Scholar