Using STAX data to predict IMS radioxenon concentrations.

Autor: Eslinger PW; Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA, 99354, USA. Electronic address: paul.w.eslinger@pnnl.gov., Bowyer TW; Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA, 99354, USA. Electronic address: ted.bowyer@pnnl.gov., Doll CG; Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA, 99354, USA. Electronic address: charles.doll@pnnl.gov., Friese JI; Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA, 99354, USA. Electronic address: judah.friese@pnnl.gov., Metz LA; Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA, 99354, USA. Electronic address: Lori.Metz@pnnl.gov., Schrom BT; Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA, 99354, USA. Electronic address: brian.schrom@pnnl.gov.
Jazyk: angličtina
Zdroj: Journal of environmental radioactivity [J Environ Radioact] 2022 Sep; Vol. 250, pp. 106916. Date of Electronic Publication: 2022 May 20.
DOI: 10.1016/j.jenvrad.2022.106916
Abstrakt: 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 industrial nuclear facilities on the sample concentrations. 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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Databáze: MEDLINE
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