Loading…
Using STAX data to predict IMS radioxenon concentrations
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...
Saved in:
Published in: | Journal of environmental radioactivity 2022-09, Vol.250 (2022), p.106916-106916, Article 106916 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 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.
•Radioxenon concentrations at IMS samplers estimated using STAX release data.•STAX release data are useful for predicting impacts at IMS samplers.•Routine analysis of IMS data should include predicted radioxenon concentrations. |
---|---|
ISSN: | 0265-931X 1879-1700 |
DOI: | 10.1016/j.jenvrad.2022.106916 |