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Optimizing Green Space-Type Placemen...

Leisure, Donald P.,

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Optimizing Green Space-Type Placement to Maximize Overall Land Surface Temperature Reduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimizing Green Space-Type Placement to Maximize Overall Land Surface Temperature Reduction // Donald P Leisure.
Author:	Leisure, Donald P.,
Description:	1 electronic resource (61 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
Subject:	Environmental studies. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30997113
ISBN:	9798382812571

Optimizing Green Space-Type Placement to Maximize Overall Land Surface Temperature Reduction /
Leisure, Donald P.,

Optimizing Green Space-Type Placement to Maximize Overall Land Surface Temperature Reduction /Donald P Leisure. - 1 electronic resource (61 pages)

Source: Masters Abstracts International, Volume: 85-12.

The adverse effects of increasing climate change offer a compelling reason for studying optimal green space-type placement responses. Knowledge of these responses is vital to underserved urban communities, which experience the bulk of repercussions due to climate change. Earlier studies have focused on optimizing green space locations for areas in the southwest United States. Researchers in these studies performed analysis of the direct and indirect land surface temperature benefits of neighboring green spaces but did not factor in varying green space types or budget constraints. Optimal green space-type placement can reduce land surface temperature, increase surface permeability, and increase property sale values. The cumulative effects of these work to ease environmental stressors in disadvantaged communities. Since Alabama, located in the Southeast United States, has been experiencing higher land surface temperatures, more flooding events, and has a population highly vulnerable to these changes, we will show how the optimization model formulated herein is useful as the basis for future planning tools. Specifically, this thesis presents a mathematical model that will optimize green space-type placement and do so in a Tuscaloosa, Alabama urban census tract to maximize land surface temperature reduction while constrained by a set budget. These findings will give evidence for a proof of concept tool that informs those responsible for urban areas, and their populations, poised to experience more significant effects from climate change. Planners, government, and business leaders can use this information for active urban landscape management and site-specific green space-type placement to mitigate climate change effects.

English

ISBN: 9798382812571Subjects--Topical Terms:

2122803
Environmental studies.
Subjects--Index Terms:

Green space

Optimizing Green Space-Type Placement to Maximize Overall Land Surface Temperature Reduction /
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245 1 0 $a Optimizing Green Space-Type Placement to Maximize Overall Land Surface Temperature Reduction / $c Donald P Leisure.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (61 pages)
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500 $a Source: Masters Abstracts International, Volume: 85-12.
500 $a Advisors: Curtin, Kevin Committee members: Senkbeil, Jason; Debbage, Neil.
502 $b M.S. $c The University of Alabama $d 2024.
520 $a The adverse effects of increasing climate change offer a compelling reason for studying optimal green space-type placement responses. Knowledge of these responses is vital to underserved urban communities, which experience the bulk of repercussions due to climate change. Earlier studies have focused on optimizing green space locations for areas in the southwest United States. Researchers in these studies performed analysis of the direct and indirect land surface temperature benefits of neighboring green spaces but did not factor in varying green space types or budget constraints. Optimal green space-type placement can reduce land surface temperature, increase surface permeability, and increase property sale values. The cumulative effects of these work to ease environmental stressors in disadvantaged communities. Since Alabama, located in the Southeast United States, has been experiencing higher land surface temperatures, more flooding events, and has a population highly vulnerable to these changes, we will show how the optimization model formulated herein is useful as the basis for future planning tools. Specifically, this thesis presents a mathematical model that will optimize green space-type placement and do so in a Tuscaloosa, Alabama urban census tract to maximize land surface temperature reduction while constrained by a set budget. These findings will give evidence for a proof of concept tool that informs those responsible for urban areas, and their populations, poised to experience more significant effects from climate change. Planners, government, and business leaders can use this information for active urban landscape management and site-specific green space-type placement to mitigate climate change effects.
546 $a English
590 $a School code: 0004
650 4 $a Environmental studies. $3 2122803
650 4 $a Geography. $3 524010
650 4 $a Climate change. $2 bicssc $3 2079509
653 $a Green space
653 $a Land surface temperature
653 $a Spatial optimization
653 $a Urban heat island
690 $a 0477
690 $a 0366
690 $a 0404
710 2 $a The University of Alabama. $b Geography. $e degree granting institution. $3 3820915
720 1 $a Curtin, Kevin $e degree supervisor.
773 0 $t Masters Abstracts International $g 85-12.
790 $a 0004
791 $a M.S.
792 $a 2024
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