Are we underestimating exposures from NORM dust?

The inhalation of dust containing naturally occurring radioactive materials (NORM) associated with mining and mineral processing operations may lead to potential long-term health impacts, including cancer and chronic lung disease, due to alpha particle-emitting radionuclides. This study evaluates the effectiveness of air sampling strategies used to estimate radiation doses from NORM exposure, with a focus on the Western Australian minerals industry. The objectives were to review current sampling and analysis protocols, identify factors contributing to over- or underestimation of dose, and propose adjustments to improve intake assessments. A review of research and guidelines applicable to NORM dust exposure was conducted, and the sampling efficiency of the government-recommended 7-hole and IOM sample heads was compared, considering measured dust particle size distributions. Key inhalation-related parameters, including use of similar exposure group (SEG) mean concentrations, worker breathing rates, median dust particle size, and intake-to-dose conversion factors, were analysed to assess their influence on intake calculations. The findings indicate that use of the 7-hole sampler, currently recommended by local guidelines, may underestimate airborne radioactivity concentrations by 2-fold or more, primarily due to reduced sampling efficiency for larger particles. Standard default assumptions for breathing rates and aerosol characteristics used to convert the measured concentrations to intake and dose may further contribute to underestimation. This study recommends updating air sampling methods and dose assessment protocols to better align with workplace-specific exposure conditions and improve worker health protection in NORM industries.

Authors

Institutions

Publication Details

Journal
Annals of Work Exposures and Health
Published
2025-08-05
DOI
https://doi.org/10.1093/annweh/wxaf043
Citations
2
Primary Topic
Radiation Dose and Imaging
Type
article
Field-Weighted Citation Impact
2.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Are we underestimating exposures from NORM dust?

G. S. Hewson, Martin I Ralph, Marcus Cattani
2 citations
Annals of Work Exposures and Health
Radiation Dose and Imaging
2.72
article

Are we underestimating exposures from NORM dust?

G. S. Hewson, Martin I Ralph, Marcus Cattani
article en
2 citations

Abstract

The inhalation of dust containing naturally occurring radioactive materials (NORM) associated with mining and mineral processing operations may lead to potential long-term health impacts, including cancer and chronic lung disease, due to alpha particle-emitting radionuclides. This study evaluates the effectiveness of air sampling strategies used to estimate radiation doses from NORM exposure, with a focus on the Western Australian minerals industry. The objectives were to review current sampling and analysis protocols, identify factors contributing to over- or underestimation of dose, and propose adjustments to improve intake assessments. A review of research and guidelines applicable to NORM dust exposure was conducted, and the sampling efficiency of the government-recommended 7-hole and IOM sample heads was compared, considering measured dust particle size distributions. Key inhalation-related parameters, including use of similar exposure group (SEG) mean concentrations, worker breathing rates, median dust particle size, and intake-to-dose conversion factors, were analysed to assess their influence on intake calculations. The findings indicate that use of the 7-hole sampler, currently recommended by local guidelines, may underestimate airborne radioactivity concentrations by 2-fold or more, primarily due to reduced sampling efficiency for larger particles. Standard default assumptions for breathing rates and aerosol characteristics used to convert the measured concentrations to intake and dose may further contribute to underestimation. This study recommends updating air sampling methods and dose assessment protocols to better align with workplace-specific exposure conditions and improve worker health protection in NORM industries.

Annals of Work Exposures and HealthVol. 69(8)
Edith Cowan University (AU)
Australian Government
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Radiation Dose and Imaging
2.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Are we underestimating exposures from NORM dust? — G. S. Hewson, Martin I Ralph, et al. · Annals of Work Exposures and Health (2025) | TGRS Research Map | TGRS