Literature DB >> 26998569

International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station.

Paul W Eslinger1, Ted W Bowyer2, Pascal Achim3, Tianfeng Chai4, Benoit Deconninck5, Katie Freeman6, Sylvia Generoso7, Philip Hayes8, Verena Heidmann9, Ian Hoffman10, Yuichi Kijima11, Monika Krysta12, Alain Malo13, Christian Maurer14, Fantine Ngan15, Peter Robins16, J Ole Ross17, Olivier Saunier18, Clemens Schlosser19, Michael Schöppner20, Brian T Schrom21, Petra Seibert22, Ariel F Stein23, Kurt Ungar24, Jing Yi25.   

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 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. Published by Elsevier Ltd.

Entities:  

Keywords:  (133)Xe; Atmospheric modeling; CTBTO; Medical isotope production; Source-term estimation

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Year:  2016        PMID: 26998569     DOI: 10.1016/j.jenvrad.2016.03.001

Source DB:  PubMed          Journal:  J Environ Radioact        ISSN: 0265-931X            Impact factor:   2.674


  2 in total

1.  Assessment of the announced North Korean nuclear test using long-range atmospheric transport and dispersion modelling.

Authors:  Pieter De Meutter; Johan Camps; Andy Delcloo; Piet Termonia
Journal:  Sci Rep       Date:  2017-08-18       Impact factor: 4.379

2.  Source localisation and its uncertainty quantification after the third DPRK nuclear test.

Authors:  Pieter De Meutter; Johan Camps; Andy Delcloo; Piet Termonia
Journal:  Sci Rep       Date:  2018-07-05       Impact factor: 4.379

  2 in total

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