Speaker
Description
Knowing the time pattern of radioxenon releases is crucial for expert analysis in nuclear explosion monitoring. The standard assumption, which uses a constant discharge rate based on the average of the annual total, is overly simplistic. The noble gas measurement systems are not typically sensitive to continuous emissions and instead usually observe puff emissions. The measurement data from the Source Term Analysis of Xenon (STAX) project is used to characterize typical release patterns at different time resolutions. These release variations over time are generalized for specific types of facilities, including medical isotope production facilities and nuclear power plants, based on the available release data. Key parameters include the frequency, shape, duration, amplitude of puffs, and the proportion of the total annual discharge that is released in the form of puffs for each radioxenon isotope individually. The results from using radioxenon release models created from STAX data for specific types of nuclear facilities will be presented by using examples to illustrate the enhancements in nuclear explosion monitoring achieved by employing time pattern models instead of relying on the continuous source assumption. Facility type-specific discharge patterns derived from STAX measurements are more powerful in radioxenon event analysis than a constant emission assumption.
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