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ACCESSING THE EXTENT OF POWER OUTAGES USING NIGHTTIME LIGHT

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Date Issued:
2021
Abstract/Description:
Natural disasters often result in large-scale power outages. Real-time tracking of the extent, distribution, and timelines of electrical service loss and recovery can play an important role in minimizing disaster impacts. Using NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB), the extent and duration of disrupted electric utility infrastructure in the Florida Panhandle following Hurricane Michael were estimated. The percent loss of electrical service was downscaled to a neighborhood level using the 2013-2017 American Community Survey (ACS) data at the block group level. Two ordinary least square models were estimated to examine the association between socioeconomic characteristics and the extent and duration of the power outages as well as recovery rates. The study found that block groups with higher percent minorities, multi-family housing units, rural areas, and a higher percentage of households receiving public assistance were experiencing slower power restoration rates than urban and more affluent neighborhoods. The findings have implications for disaster preparedness and recovery planning.
Title: ACCESSING THE EXTENT OF POWER OUTAGES USING NIGHTTIME LIGHT.
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Name(s): Einsteder, Ross, author
Mitsova, Diana, Thesis advisor
Florida Atlantic University, Degree grantor
Department of Urban and Regional Planning
Charles E. Schmidt College of Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: 2021
Date Issued: 2021
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 77 p.
Language(s): English
Abstract/Description: Natural disasters often result in large-scale power outages. Real-time tracking of the extent, distribution, and timelines of electrical service loss and recovery can play an important role in minimizing disaster impacts. Using NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB), the extent and duration of disrupted electric utility infrastructure in the Florida Panhandle following Hurricane Michael were estimated. The percent loss of electrical service was downscaled to a neighborhood level using the 2013-2017 American Community Survey (ACS) data at the block group level. Two ordinary least square models were estimated to examine the association between socioeconomic characteristics and the extent and duration of the power outages as well as recovery rates. The study found that block groups with higher percent minorities, multi-family housing units, rural areas, and a higher percentage of households receiving public assistance were experiencing slower power restoration rates than urban and more affluent neighborhoods. The findings have implications for disaster preparedness and recovery planning.
Identifier: FA00013766 (IID)
Degree granted: Thesis (MURP)--Florida Atlantic University, 2021.
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Includes bibliography.
Subject(s): Electric power outages
Disaster relief
Emergency management
Hurricane Michael, 2018
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00013766
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.