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Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods

Bandreddy, Naga Abhiram

Abstract Details

2019, Master of Science, University of Toledo, Civil Engineering.
Radon (Rn) is an inert radioactive gas, which is tasteless, colorless, and odorless and is the densest gas ever known that naturally occurs from the decay of uranium. According to the International Agency for Research on Cancer (IARC), Radon-222 is proved to be carcinogenic to humans. The United States Environmental Protection Agency (USEPA) observes that roughly 21,000 lung cancer death cases in the United States every year are pertinent to Radon. The more significant part of Ohio's counties is recorded as either Zone 1 or Zone 2 (Highest and Moderate potential, individually). Researchers assume that Radon might have a relationship with Both Oil and Gas wells and Uranium Ores individually. The Ohio Oil and Gas Wells underlies the eastern portion of Ohio and the northwest corner of the state. Wherever the shale outcrops at the surface, it represents a potential wellbeing risk. As a result of the short half-life of radon-222 (3.82 days), it is required that the source rock is near the surface (likely under 10 m) all together for noteworthy measures of the gas to survive the upward trek. This project aims to determine the effect of Uranium deposits and Oil wells on the Radon concentration values measured by various Radon testing companies in the state of Ohio. This study is done in a way that, only the closest Uranium Ore deposits and Oils wells are considered for each Radon concentration value. However, the relationship for the wells should be further examined using geology. Different methodologies were implied to find the correlation, such as co-location quotient (CLQ), Ordinary Least Square regression (OLS), Spatial Lag, and Spatial Error methods. By using these methods, this thesis report shows the efforts in defining radon concentration and its spread is very much dependent on the Oil and Gas wells drilled in its vicinity and also to prove that the presence of Uranium ore significantly increases the radon concentration measured in the households in its region.
Ashok Kumar (Committee Chair)
Yanqing Xu (Committee Co-Chair)
Liangbo Hu (Committee Member)
70 p.

Recommended Citations

Citations

  • Bandreddy, N. A. (2019). Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564687565423414

    APA Style (7th edition)

  • Bandreddy, Naga Abhiram. Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods. 2019. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564687565423414.

    MLA Style (8th edition)

  • Bandreddy, Naga Abhiram. "Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods." Master's thesis, University of Toledo, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564687565423414

    Chicago Manual of Style (17th edition)