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Radon exhalation and migration mechanisms across stratigraphic units: a case study from Inner Mongolia
Pengda Ma1, Qiang Sun2, Jishi Geng1
1College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, Shaanxi, 710054, China.
Journal of Environmental Radioactivity
|February 25, 2026
Summary
Radon (222Rn) exhalation in coal-bearing strata correlates with pore volume, revealing subsurface heterogeneity. This study demonstrates radon
Area of Science:
- Geochemistry
- Environmental Science
- Subsurface characterization
Background:
- Radon (222Rn) serves as a valuable tracer for identifying concealed fractures and subsurface heterogeneity.
- Understanding radon's behavior in coal-bearing strata is crucial for resource exploration and environmental assessment.
Purpose of the Study:
- To investigate the relationship between radon exhalation and pore characteristics in coal-mining drill cores.
- To assess the influence of pore volume, pore size distribution, and moisture content on radon exhalation.
Main Methods:
- Utilized Laser Threshold Nephelometry Analysis (LTNA) for pore characterization of drill cores.
- Conducted sealed-chamber exhalation tests to measure radon release rates.
- Performed moisture-conditioning tests to evaluate water content effects on radon exhalation.
Main Results:
- Observed a distinct vertical zonation in pore volume, with peak values in the middle transition zone.
- Radon exhalation showed an increase-then-decrease trend with depth, peaking at approximately 7.6 Bq·kg-1·h-1.
- Radon exhalation strongly correlated with total pore volume (R2 ≈ 0.95) and mesopore volume (R2 ≈ 0.98).
- Moisture content significantly modulated radon release, exhibiting an inverted-U response.
Conclusions:
- Mesopores are key to matrix-accessible pore space and diffusion supply of radon at the core scale.
- Radon anomalies can effectively delineate high-permeability pathways and potential concealed fractures in coal-bearing strata.
- Radon exhalation patterns provide insights into subsurface heterogeneity and fracture networks.

