Predictive Geogenic Radon Potential (P-GRP): A novel approach for comprehensive hazard assessment and risk modeling in subsurface environment

Choi, Yijune; Bae, Min Seo; Oh, Yunyeong; Lee, Soonjae

doi:10.1016/j.scitotenv.2024.173721

Science of The Total Environment

2024

DOI: 10.1016/j.scitotenv.2024.173721

|View full text |Cite

Predictive Geogenic Radon Potential (P-GRP): A novel approach for comprehensive hazard assessment and risk modeling in subsurface environment

Yijune Choi,

Min Seo Bae,

Yunyeong Oh

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Apportioning radon contamination sources in underground spaces using a grey-box model

Choi,

Lee

2025

Journal of Hazardous Materials

View full text Add to dashboard Cite

Apportioning radon contamination sources in underground spaces using a grey-box model

Choi,

Lee

2025

Journal of Hazardous Materials

View full text Add to dashboard Cite

Depth Gradient and Radon Activity Concentration in Soil Gas in the Zone of a Potentially Active Fault

Leshukov,

Legoshchin,

Avdeev

et al. 2024

Earth

View full text Add to dashboard Cite

The study specifies the changes in radon activity concentration (RAC) in soil gas with depth and emphasizes the significance of the meteorological factor for deeper boreholes. Radon activity concentration was measured in 0.6 m, 1 m and 1.5 m boreholes, and the depth gradient was also calculated. Spatial patterns were estimated using an autocorrelation index. RAC ranged from 9454 ± 439 Bq/m3 for 0.6 m, 16,031 ± 602 Bq/m3 for 1 m and 22,049 ± 937 Bq/m3 for 1.5 m. RAC increased with depth at most of the study sites and behaved quite uniformly in spatial terms. At the same time, no significant differences in the activity of uranium (238U) series isotopes at different soil depths were detected. Significant spatial variability in radioactivity and the physical properties of soils is noted. The highest gradient was between 0.6 and 1 m. It was found that with increasing depth the connection between the RAC and the meteorological conditions (temperature and humidity) of the surface layer of the atmosphere is lost. It follows that for shallow boreholes it is necessary to consider the influence of meteorological conditions. RAC in 1 m boreholes correlates with 1.5 m and 0.6 m boreholes, but no correlation was found for the 1.5 m and 0.6 m boreholes themselves. Thus, 1 m boreholes are optimal for radon monitoring. A high level of RAC indicates a high potential for indoor radon exposure in this territory, with corresponding epidemiological consequences in the long term.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Predictive Geogenic Radon Potential (P-GRP): A novel approach for comprehensive hazard assessment and risk modeling in subsurface environment

Cited by 2 publications

References 56 publications

Apportioning radon contamination sources in underground spaces using a grey-box model

Apportioning radon contamination sources in underground spaces using a grey-box model

Depth Gradient and Radon Activity Concentration in Soil Gas in the Zone of a Potentially Active Fault

Contact Info

Product

Resources

About