Using STAX data to predict IMS radioxenon concentrations

Eslinger, Paul W.; Bowyer, Theodore W.; Doll, Charles G.; Friese, Judah I.; Metz, Lori A.; Schrom, Brian T.

doi:10.1016/j.jenvrad.2022.106916

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DOE OSTI · 1885755

Using STAX data to predict IMS radioxenon concentrations

Eslinger, Paul W.·Bowyer, Theodore W.·Doll, Charles G.·Friese, Judah I.·Metz, Lori A.·Schrom, Brian T.

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Abstract

The noble gas collection and measurement stations in the International Monitoring System (IMS) are heavily influenced by releases from medical isotope production facilities. The ability to reliably model the movement of radioxenon from the points of release to these IMS samplers has improved enough that a routine aspect of the analysis of IMS radioxenon data should be the prediction of the effect of releases from civilian nuclear facilities on the sample concentrations. In this work, predicted concentrations at IMS noble gas systems in Germany and Sweden based on measured releases from Institute for Radioelements (IRE) in Belgium and atmospheric transport modeling for a four-month period are presented and discussed.

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63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTANT EFFECTS ON LIVING ORGS. AND BIOL. MAT.CTBT environmental monitoring nuclear explosion monitoring radioxenon

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Eslinger, Paul W., Bowyer, Theodore W., Doll, Charles G., Friese, Judah I., Metz, Lori A., Schrom, Brian T.. 2022-05-20. Using STAX data to predict IMS radioxenon concentrations. https://doi.org/10.1016/j.jenvrad.2022.106916

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