Alpha Air Sample Counting Efficiency Versus Dust Loading: Evaluation of a Large Data Set

Area of Science:

• Environmental Science
• Nuclear Chemistry
• Radiation Detection

Background:

• Dust loading on air sample filters impedes accurate alpha activity measurements.
• Quantifying dust loading and its effect on alpha particle attenuation is challenging.

Purpose of the Study:

• To develop and validate correction factors for alpha activity measurements affected by dust loading.
• To establish a reliable method for assessing dust loading impacts on air sample filters.

Main Methods:

• Statistical analysis of a large air sample database from a uranium and plutonium processing facility.
• Utilizing sample volume as a proxy for dust loading, combined with a Monte Carlo model.
• Comparing activity ratios (beta/(beta + alpha)) and applying correction factors to raw alpha count rates.

Main Results:

• Developed statistically derived correction factors for alpha activity attenuation due to dust loading.
• Demonstrated that sample volume is a viable proxy for inferring dust loading.
• Proposed a linear fit for alpha activity accounting for dust loading from 2 mg/cm² to 1,000 mg/cm².

Conclusions:

• The developed method accurately corrects for alpha activity loss caused by dust loading on air filters.
• This technique enhances the reliability of alpha activity monitoring in environments with significant particulate matter.
• The findings support improved radiation safety protocols in nuclear processing facilities.