International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station. (June 2016)
- Record Type:
- Journal Article
- Title:
- International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station. (June 2016)
- Main Title:
- International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station
- Authors:
- Eslinger, Paul W.
Bowyer, Ted W.
Achim, Pascal
Chai, Tianfeng
Deconninck, Benoit
Freeman, Katie
Generoso, Sylvia
Hayes, Philip
Heidmann, Verena
Hoffman, Ian
Kijima, Yuichi
Krysta, Monika
Malo, Alain
Maurer, Christian
Ngan, Fantine
Robins, Peter
Ross, J. Ole
Saunier, Olivier
Schlosser, Clemens
Schöppner, Michael
Schrom, Brian T.
Seibert, Petra
Stein, Ariel F.
Ungar, Kurt
Yi, Jing - Abstract:
- Abstract: The International Monitoring System (IMS) is part of the verification regime for the Comprehensive Nuclear-Test-Ban-Treaty Organization (CTBTO). At entry-into-force, half of the 80 radionuclide stations will be able to measure concentrations of several radioactive xenon isotopes produced in nuclear explosions, and then the full network may be populated with xenon monitoring afterward. An understanding of natural and man-made radionuclide backgrounds can be used in accordance with the provisions of the treaty (such as event screening criteria in Annex 2 to the Protocol of the Treaty) for the effective implementation of the verification regime. Fission-based production of 99 Mo for medical purposes also generates nuisance radioxenon isotopes that are usually vented to the atmosphere. One of the ways to account for the effect emissions from medical isotope production has on radionuclide samples from the IMS is to use stack monitoring data, if they are available, and atmospheric transport modeling. Recently, individuals from seven nations participated in a challenge exercise that used atmospheric transport modeling to predict the time-history of 133 Xe concentration measurements at the IMS radionuclide station in Germany using stack monitoring data from a medical isotope production facility in Belgium. Participants received only stack monitoring data and used the atmospheric transport model and meteorological data of their choice. Some of the models predicted theAbstract: The International Monitoring System (IMS) is part of the verification regime for the Comprehensive Nuclear-Test-Ban-Treaty Organization (CTBTO). At entry-into-force, half of the 80 radionuclide stations will be able to measure concentrations of several radioactive xenon isotopes produced in nuclear explosions, and then the full network may be populated with xenon monitoring afterward. An understanding of natural and man-made radionuclide backgrounds can be used in accordance with the provisions of the treaty (such as event screening criteria in Annex 2 to the Protocol of the Treaty) for the effective implementation of the verification regime. Fission-based production of 99 Mo for medical purposes also generates nuisance radioxenon isotopes that are usually vented to the atmosphere. One of the ways to account for the effect emissions from medical isotope production has on radionuclide samples from the IMS is to use stack monitoring data, if they are available, and atmospheric transport modeling. Recently, individuals from seven nations participated in a challenge exercise that used atmospheric transport modeling to predict the time-history of 133 Xe concentration measurements at the IMS radionuclide station in Germany using stack monitoring data from a medical isotope production facility in Belgium. Participants received only stack monitoring data and used the atmospheric transport model and meteorological data of their choice. Some of the models predicted the highest measured concentrations quite well. A model comparison rank and ensemble analysis suggests that combining multiple models may provide more accurate predicted concentrations than any single model. None of the submissions based only on the stack monitoring data predicted the small measured concentrations very well. Modeling of sources by other nuclear facilities with smaller releases than medical isotope production facilities may be important in understanding how to discriminate those releases from releases from a nuclear explosion. Highlights: 133 Xe releases from a medical isotope production facility impacts IMS noble gas samplers. International study to predict airborne radioxenon concentrations at an IMS noble gas sampler. Model ensembles predicted concentrations better than individual models. … (more)
- Is Part Of:
- Journal of environmental radioactivity. Volume 157(2016:Jul.)
- Journal:
- Journal of environmental radioactivity
- Issue:
- Volume 157(2016:Jul.)
- Issue Display:
- Volume 157 (2016)
- Year:
- 2016
- Volume:
- 157
- Issue Sort Value:
- 2016-0157-0000-0000
- Page Start:
- 41
- Page End:
- 51
- Publication Date:
- 2016-06
- Subjects:
- Medical isotope production -- 133Xe -- Source-term estimation -- Atmospheric modeling -- CTBTO
Radioactivity -- Periodicals
Radiation, Background -- Periodicals
Radioecology -- Periodicals
Radioactive pollution -- Periodicals
Environmental Pollutants -- Periodicals
Radioactive Pollutants -- Periodicals
Radioactivity -- Periodicals
Radioécologie -- Périodiques
Pollution radioactive -- Périodiques
Fond de rayonnement -- Périodiques
539.752 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0265931X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jenvrad.2016.03.001 ↗
- Languages:
- English
- ISSNs:
- 0265-931X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.392000
British Library DSC - BLDSS-3PM
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