Published November 2016 | Version v1
Journal article

On the capability to model the background and its uncertainty of CTBT-relevant radioxenon isotopes in Europe by using ensemble dispersion modeling

  • 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.2016.07.033

Additional 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.