Author ORCID Identifier
0000-0003-4759-7054
Date of Award
Spring 5-1-2024
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Geosciences
First Advisor
Dajun Dai, PhD
Second Advisor
Nadine Kabengi, PhD
Third Advisor
Ashwin Ashok, PhD
Abstract
Radon is the leading cause of lung cancer after smoking. There is a lack of information regarding underground radon concentrations at a local scale. This research assessed the underground radon emissions from 30 sensors from May 2022 to January 2023. This thesis utilized the emerging hotspot technique to identify the hotspots and coldspots of underground radon concentrations. It then evaluated their correlations with temperature, humidity, air pressure, CO2, and volatile organic compound (VOC). The results indicated that the western side of the testbed and the warmer season had more hotspots than the rest of the area and colder season. Temperature had the strongest association with the radon pattern, followed by humidity and air pressure. This research suggests that radon emissions could change greatly even within a small area due to the change of the environment. Intensive monitoring is necessary to understand radon risks and reduce exposure.
DOI
https://doi.org/10.57709/36974972
Recommended Citation
Tasnim, Sumya, "Space-time Pattern of Underground Radon Emission and the Influence of Environmental Factors Using Sensor Networks." Thesis, Georgia State University, 2024.
doi: https://doi.org/10.57709/36974972
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