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    MODELING THE INTERSECTIONS OF URBAN HEAT ISLANDS AND VULNERABLE POPULATIONS IN SPOKANE, WASHINGTON

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    MS-GIST_2025_Mendenhall.pdf
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    Description:
    MS-GIST Report
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    Author
    Mendenhall, Jacqueline
    Issue Date
    2025
    Keywords
    urban heat island
    climate change
    GIS
    cool roof
    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 climate change continues to cause hotter summers and warmer winters, studying the effects of this heat is increasingly important so that mitigation steps can be taken now rather than when it becomes too late. The urban heat island effect is caused by urban surfaces retaining more solar radiation and emitting more heat than natural surfaces would. Urban heat islands pose threats to vulnerable populations, such as those who are of a lower socioeconomic status, the unhoused, and the elderly. The Spokane Metropolitan Area is the largest city in eastern Washington and has continually seen an increase in average summer temperatures over the past twenty years. Local communities and universities have begun to monitor how the more extreme heat events are affecting the local environment and planning for further changes, and the city’s Urban Forestry Department is working to increase the city’s tree canopy to 30% by 2030. This study uses a compilation of thermal data from the summer months of 2020 and 2024 to identify the hottest parts of the city, and census data to identify how those break down by demographic. Mitigation is modeled by using building footprints to showcase how a Cool Roof program would assist in dispersing heat more effectively.
    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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