Empirical Validation of Soil Radon Gas Diffusion Length Using On-Field Underground Sensor Data
This paper presents a comparative study of two Radon Diffusion Length (RDL) estimation methods (direct and indirect) using real-world time-series data. An underground sensor setup was deployed for continuous monitoring of radon and soil parameters. The findings confirm that combining direct and indirect methods enhances radon risk assessment, particularly in complex soil environments where traditional lab-based models fall short. Additionally, validated RDL values enable accurate radon barrier thickness calculations (47.1-62.4 cm), aiding in radon-resistant foundation design. This study highlights the importance of real-time RDL monitoring and supports the adoption of a hybrid approach for more accurate, field-adapted radon diffusion modeling.
Authors
- Nadine Kabengi
- Ashwin Ashok (ORCID: https://orcid.org/0000-0002-6827-9154)
- Dajun Dai (ORCID: https://orcid.org/0000-0002-4451-6389)
- Xiaochun He
- Samantha Andrews
- P. H. Gore (ORCID: https://orcid.org/0009-0008-0500-6053)
- Asmita Naitam
- Charlotte Annan
Institutions
- Georgia State University (US)
Publication Details
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1109/southeastcon56624.2025.10971659
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Agriculture