Report
Source Localization by Inverse Methods (SLIM)
Danish Meteorological Institute1
Norwegian Meteorological Institute2
Swedish Meteorological and Hydrological Institute3
PDC-ARGOS ApS4
Department of Physics, Technical University of Denmark5
Radiation Physics, Department of Physics, Technical University of Denmark6
Danish Emergency Management Agency7
Swedish Radiation Safety Authority8
Radiation and Nuclear Safety Authority9
In early October 2017, the International Atomic Energy Agency (IAEA) was informed by Member States that low concentrations of Ru-106 were measured in high-volume air samples in Europe from routine monitoring networks. However, no information was given that an accidental release of Ru-106 had taken place.
Such events signify the need for prompt and accurate responses from national radiation protection authorities in such cases. This requires that methodologies, suited for operational use, are developed for spatial and temporal localization of the source of contamination based on available monitoring data.
For operational use, nuclear decision-support systems (DSSs) should be extended with modules handling such monitoring data automatically, e.g. by employing the European Radiological Data Exchange Platform (EURDEP), and conveying selected data to the national meteorological centre accompanied by a request to run an atmospheric dispersion model in inverse mode.
The aim would be to determine a geographical area in which to find the potential release point as well as the release period. In the first year of SLIM (2019), the following results are obtained: • Two case studies are identified and selected, viz. the European Tracer Experiment (ETEX-1) and the October 2017 case of Ru-106 in Europe. • Methods for temporal and spatial source localization are developed, implemented and described. • Deterministic numerical weather prediction (NWP) model data are derived from the European Centre for Medium-Range Weather Forecasts (ECMWF) corresponding to the selected cases. • Quality-controlled measurement data of ground-level concentration are obtained from filter stations. • The inverse methods for source localization are applied by using the DERMA, MATCH and SNAP atmospheric dispersion models to both cases.
Language: | English |
---|---|
Publisher: | NKS Secretariat |
Year: | 2020 |
Types: | Report |
ORCIDs: | Lauritzen, Bent |