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Uncertainty and source term reconstruction with environmental air samples.

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Environmental air sampling for the Comprehensive Nuclear-Test-Ban Treaty (CTBT) has an overlooked uncertainty. This study quantifies this uncertainty, crucial for accurate nuclear event reconstruction.

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Area of Science:

  • Nuclear verification technologies
  • Environmental monitoring
  • Atmospheric science

Background:

  • Environmental air sampling is key for Comprehensive Nuclear-Test-Ban Treaty (CTBT) verification.
  • Bayesian source reconstruction combines sample analysis with Atmospheric Transport and Dispersion Modelling (ATDM) for event parameter estimation.
  • Accurate prior uncertainty distributions are vital for reliable event reconstruction.

Purpose of the Study:

  • To identify and quantify an overlooked source of uncertainty in environmental sampling for CTBT verification.
  • To improve the accuracy of Bayesian source reconstruction by addressing the sample-to-model interface uncertainty.

Main Methods:

  • Utilized a dense network of radionuclide detectors on Canada's West Coast.
  • Analyzed data from the Fukushima debris plume passage.
  • Estimated uncertainty based on detector response and sample integration time.

Main Results:

  • Identified a significant uncertainty component at the interface between environmental sample measurements and ATDM.
  • Quantified this uncertainty to be between 20% and 30%, varying with sample integration time.

Conclusions:

  • The uncertainty associated with the scale difference between environmental samples and ATDM domains is substantial.
  • Accurate CTBT verification requires accounting for this quantified sampling uncertainty in Bayesian reconstruction models.