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You searched for id:"oai:etd.ohiolink.edu:toledo1564687565423414". One record found.

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University of Toledo

1. Bandreddy, Naga Abhiram. Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods.

Degree: MS, Civil Engineering, 2019, University of Toledo

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. Advisors/Committee Members: Kumar, Ashok (Committee Chair), Xu, Yanqing (Committee Co-Chair).

Subjects/Keywords: Civil Engineering; Environmental Engineering; Geography; Radon, Oil and Gas Wells, GIS, Uranium, CLQ, OLS, Spatial Lag Model and Spatial Error Model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bandreddy, N. A. (2019). Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564687565423414

Chicago Manual of Style (16th Edition):

Bandreddy, Naga Abhiram. “Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods.” 2019. Masters Thesis, University of Toledo. Accessed September 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564687565423414.

MLA Handbook (7th Edition):

Bandreddy, Naga Abhiram. “Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods.” 2019. Web. 21 Sep 2019.

Vancouver:

Bandreddy NA. Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods. [Internet] [Masters thesis]. University of Toledo; 2019. [cited 2019 Sep 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564687565423414.

Council of Science Editors:

Bandreddy NA. Defining Correlation Between Radon, Uranium Deposits, and Oil and Gas Wells Using GIS Regression Methods. [Masters Thesis]. University of Toledo; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1564687565423414

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