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Improved Clearance Verification: Direct Application of Measurements' Distribution.

Jonatan Jiselmark1, Steven Adams2, Robert A Meck3

  • 1Greenfield Strategies AB, Brunnsåkersbacken 6, 64593, Strängnäs, Sweden.

Health Physics
|February 3, 2026
PubMed
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This study introduces a novel Monte Carlo Sum of Fractions method for calculating land clearance doses without assuming statistical distributions. It accurately quantifies compliance probability and uncertainty, improving clearance verification.

Area of Science:

  • Environmental radioactivity
  • Radiological protection
  • Nuclear safety

Background:

  • Current land clearance compliance methods often rely on nonparametric statistics and assumed distributions, neglecting uncertainties.
  • Regulatory bodies typically assess compliance based on representative or average doses, not median doses.
  • International standards emphasize the necessity of reporting measurement uncertainties for defensible assessments.

Purpose of the Study:

  • To develop a robust method for calculating dose probabilities during land clearance.
  • To accurately quantify the probability and uncertainty of complying with clearance criteria.
  • To provide a technically sound basis for demonstrating compliance with clearance criteria.

Main Methods:

  • Developed a Monte Carlo Sum of Fractions (MC SF) method for dose probability calculation.
Keywords:
ClearanceMCSOFMonte CarloMonte Carlo Sum of FractionsResidual radioactivitySum of FractionsUnity Rule

Related Experiment Videos

  • Utilized actual distributions of survey and sampling measurements, avoiding a priori statistical assumptions.
  • Incorporated all known uncertainties into the simulation by randomizing data.

    • Main Results:

    • The MC SF method provides accurate quantified probability and uncertainty of compliance with clearance criteria.
    • Demonstrated the method's application to real site data as a Proof of Concept.
    • The approach accounts for all known uncertainties, unlike traditional methods.

    Conclusions:

    • The MC SF method offers a technically sound and defensible approach for land clearance verification.
    • This method improves the accuracy of dose assessment and compliance demonstration.
    • It addresses the critical need for accounting for uncertainties in radiological assessments.