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Using STAX data to predict IMS radioxenon concentrations.

Paul W Eslinger1, Theodore W Bowyer1, Charles G Doll1

  • 1Pacific Northwest National Laboratory, 902 Battelle Blvd., Richland, WA, 99354, USA.

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Summary
This summary is machine-generated.

Industrial nuclear facilities, like medical isotope producers, impact noble gas monitoring. This study models radioxenon movement to predict these facility effects on International Monitoring System (IMS) samples.

Keywords:
CTBTEnvironmental monitoringNuclear explosion monitoringRradioxenon

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Area of Science:

  • Environmental monitoring
  • Nuclear science
  • Atmospheric transport modeling

Background:

  • Noble gas collection stations in the International Monitoring System (IMS) are significantly affected by radioxenon releases from medical isotope production.
  • Accurate modeling of radioxenon transport is crucial for interpreting IMS data.

Purpose of the Study:

  • To demonstrate the routine prediction of industrial nuclear facility impacts on IMS radioxenon sample concentrations.
  • To present and discuss predicted radioxenon concentrations at IMS noble gas systems.

Main Methods:

  • Utilized atmospheric transport modeling to simulate radioxenon movement.
  • Incorporated measured release data from the Institute for Radioelements (IRE) in Belgium.
  • Focused on a four-month period for analysis.

Main Results:

  • Predicted radioxenon concentrations at IMS noble gas systems in Germany and Sweden were calculated.
  • The study validates the feasibility of predicting industrial facility influences on IMS measurements.

Conclusions:

  • Routine prediction of industrial nuclear facility effects on IMS radioxenon data is now achievable.
  • This predictive capability enhances the analysis of atmospheric radioxenon measurements.