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dc.contributor.advisorKorgaonkar, Yoganand
dc.contributor.authorHarney, Sidney
dc.date.accessioned2025-05-12T17:05:41Z
dc.date.available2025-05-12T17:05:41Z
dc.date.issued2025
dc.identifier.urihttp://hdl.handle.net/10150/677070
dc.description.abstractTornadoes are a potential threat to life no matter how much one prepares. Many people in high-risk areas can become desensitized to this threat, but tornadoes are significant everywhere and can occur with zero notice. These high-risk areas rely on infrastructure and resource management to best deal with the consequences of tornadoes. Identifying the areas at high risk of tornadoes can better equip officials with the knowledge to aid residents with recovery more efficiently. Geographic Information Systems can be utilized to leverage historical data to identify these high-risk areas and predict which areas will see an increase in frequency and intensity based on future weather pattern predictions. To accomplish this task, a suitability analysis model is appropriate with an accompanying time series map that highlights how tornadoes have shifted geographically over time. This is centralized into three study areas: The Great Plains, Tornado Alley, and Dixie Alley. The results show which general study area has increased in intensity, as determined by the Enhanced Fujita Scale and overall frequency. Ultimately, tornadoes have shifted in frequency from the Great Plains and historical Tornado Alley to Dixie Alley, but everywhere has increased in intensity, with the past five years showing an increase in violent tornadoes.en_US
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectGISen_US
dc.subjectTornadoesen_US
dc.subjectDixie Alleyen_US
dc.subjectTornado Alleyen_US
dc.subjectSuitability Modeleren_US
dc.titleNot in Kansas Anymore: Analyzing the Shift of Tornadoes in the United Statesen_US
dc.typeElectronic Reporten_US
dc.typetext
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGeographic Information Systems Technologyen_US
thesis.degree.nameM.S.en_US
dc.description.collectioninformationThis item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu.en_US
refterms.dateFOA2025-05-12T17:05:42Z


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