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
Summary
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.
- 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.
Keywords:
ClearanceMCSOFMonte CarloMonte Carlo Sum of FractionsResidual radioactivitySum of FractionsUnity RuleMore Related Videos
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