On the capability to model the background and its uncertainty of CTBT-relevant radioxenon isotopes in Europe by using ensemble dispersion modeling
Creators
- 1. Department of Physics and Astronomy, Ghent University, Ghent (Belgium)
- 2. Royal Meteorological Institute of Belgium, Brussels (Belgium)
- 3. Belgian Nuclear Research Institute, Mol (Belgium)
- 4. Institute for Radioelements, Fleurus (Belgium)
Description
Knowledge on the global radioxenon background is imperative for the Comprehensive Nuclear-Test-Ban Treaty verification. In this paper, the capability to simulate the radioxenon background from regional sources is assessed at two International Monitoring System stations in Europe. An ensemble dispersion modeling approach is used to quantify uncertainty by making use of a subset of the Ensemble Prediction System of the European Centre for Medium-Range Weather Forecasts. Although the uncertainty quantification shows promising results, the ensemble shows a lack of spread that could be attributed to emission uncertainty from nuclear power plants, which is not taken into account. More knowledge on the emissions of nuclear power plants can help improve our understanding of the radioxenon background. - Highlights: • Ensemble atmospheric transport modeling is used to model the radioxenon background. • 15-min radioxenon release data from the Institute for Radioelements has been used. • The radioxenon release from nuclear power plants is not negligible. • The ensemble results in a better forecast and quantifies part of the uncertainty.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jenvrad.2016.07.033Additional details
Identifiers
- DOI
- 10.1016/j.jenvrad.2016.07.033;
- PII
- S0265-931X(16)30271-5;
Publishing Information
- Journal Title
- Journal of Environmental Radioactivity
- Journal Volume
- 164
- Journal Page Range
- p. 280-290
- ISSN
- 0265-931X
- CODEN
- JERAEE
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49056004
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- AIR POLLUTION MONITORING; CTBT; DISPERSIONS; EUROPE; FORECASTING; NUCLEAR POWER PLANTS; SIMULATION
- Descriptors DEC
- MONITORING; NUCLEAR FACILITIES; POWER PLANTS; THERMAL POWER PLANTS; TREATIES
Optional Information
- Copyright
- Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.