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    SITING NUCLEAR POWER PLANTS IN THE WESTERN UNITED STATES

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    MS-GIST_2022_Wiens.pdf
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    Description:
    MS-GIST Report
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    Author
    Wiens, Anastiaza
    Issue Date
    2022-05-03
    Keywords
    siting power plants
    nuclear
    climate change
    greenhouse gas emissions
    Western United States
    Advisor
    Mason, Jennifer
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © 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.
    Collection Information
    This 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.
    Abstract
    As the United States shifts to a greener mindset, going away from fossil fuel power has been an increasingly popular choice to cut down on greenhouse gas emissions. One method that provides more power and efficiency on a larger scale is nuclear. As technology has evolved and improved nuclear power, these power plants can be built smaller and are more efficient than the nuclear power plants built 20-40 years ago. In this study, GIS analyses were used to find suitable areas in the Western U.S. for siting a new nuclear power plant. This will produce a map including rankings of most suitable, suitable, and not suitable sites. The most suitable areas will contain no geological hazards, population density of less than 500 persons per square mile, and within a mile of perennial bodies of water. The ranking of suitable will include areas that contain everything in the most suitable ranking except no bodies of water. The not suitable areas contain geohazards, a population density of more than 500 person per square mile and have no water. The resulting percentages are the most suitable areas account for 1.17% of the study area, the suitable areas account for 22.45% of the study area, and the not suitable areas make up 76.38% of the study area.
    Type
    Electronic Report
    text
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Geographic Information Systems Technology
    Degree Grantor
    University of Arizona
    Collections
    MS-GIST (Master's Reports)

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