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RPAS plume measurements for reconstructing radionuclide source terms.

James P Carr1, Luke Lebel1, Marta Kocemba1

  • 1Canadian Nuclear Laboratories, Chalk River, ON, K0J 1J0, Canada.

Journal of Environmental Radioactivity
|September 20, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a rapid method using a remotely piloted aircraft system (RPAS) to characterize radioactive plumes. This technology enables real-time estimation of release rates, crucial for radiological accident response.

Keywords:
Atmospheric dispersionEmergency responseRadioactive plumeRelease rate estimation

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Area of Science:

  • Environmental Science
  • Nuclear Engineering
  • Aerospace Engineering

Background:

  • Accurate assessment of radiological material release is critical during radiological accidents.
  • Existing methods for plume characterization can be time-consuming and lack real-time capabilities.

Purpose of the Study:

  • To develop and demonstrate a rapid method for characterizing radioactive plumes using a remotely piloted aircraft system (RPAS).
  • To quantify the initial release rate of a radioactive plume in real-time.

Main Methods:

  • A remotely piloted aircraft system (RPAS) equipped with radiation detection (gamma spectrometer) and geolocation (GNSS, altimeter) sensors was utilized.
  • The RPAS was flown through an Argon-41 (Ar-41) plume generated by a research reactor.
  • Collected radiation data was integrated with plume dispersion models to estimate the release rate.

Main Results:

  • Thirty passes through the Ar-41 plume were conducted, collecting radiation counts and energies at various locations.
  • The quantified Ar-41 release rates demonstrated good agreement with previously established estimates.
  • The study successfully linked radiation measurements to specific geospatial coordinates within the plume.

Conclusions:

  • RPAS-mounted radiation and geolocation sensors provide a viable solution for real-time radioactive plume characterization.
  • Combining RPAS data with plume dispersion models enables accurate estimation of radioactive release rates.
  • This technology enhances emergency response capabilities for radiological accidents.