Issue |
Radioprotection
Volume 51, December 2016
Innovative integrated tools and platforms for radiological emergency preparedness and post-accident response in Europe. Key results of the PREPARE European research project
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Page(s) | S125 - S127 | |
Section | Enhancing of the existing decision support systems with capabilities of importance – Source term estimation based on measurements and atmospheric dispersion models | |
DOI | https://doi.org/10.1051/radiopro/2016047 | |
Published online | 23 December 2016 |
Article
Improved source term description in Eulerian models in ARGOS
1
MET – Norwegian Meteorological Institute,
P.O. Box 43, Blindern,
N-0313
Oslo, Norway
2
CERAD – Centre of Excellence for Environmental Radioactivity,
N-1432
Ås, Norway
3
NRPA – Norwegian Radiation Protection Authority,
P.O. Box 55,
N-1332
Østerås, Norway
Atmospheric dispersion models can be formulated and implemented in two different ways, e.g. as Eulerian and Lagrangian models. These implementations have both advantages and disadvantages concerning numerical requirements and accuracy. A combination of both implementations – a hybrid approach is also possible and, we show some improvement to a pure approach, when using this method. In many practical cases of measured radioactive air concentrations, the source time and location is not known. Inverse modelling can be used to help identifying the source. Using a simplified footprint analysis, it is even possible to combine the information from several measurement stations to get an improved picture over possible sources from an atmospheric point of view.
Key words: inverse modelling / hybrid modelling / atmospheric dispersion modelling
© EDP Sciences 2016
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