التفاصيل البيبلوغرافية
| العنوان: |
Using Nighttime Light Data to Explore the Extent of Power Outages in the Florida Panhandle after 2018 Hurricane Michael |
| المؤلفون: |
Diana Mitsova, Yanmei Li, Ross Einsteder, Tiffany Roberts Briggs, Alka Sapat, Ann-Margaret Esnard |
| المصدر: |
Remote Sensing, Vol 16, Iss 14, p 2588 (2024) |
| بيانات النشر: |
MDPI AG, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Science |
| مصطلحات موضوعية: |
tropical cyclones, infrastructure disruptions, debris, emergency response database, NASA’s nighttime light data, socioeconomic vulnerability, Science |
| الوصف: |
The destructive forces of tropical cyclones can have significant impacts on the land, contributing to degradation through various mechanisms such as erosion, debris, loss of vegetation, and widespread damage to infrastructure. Storm surge and flooding can wash away buildings and other structures, deposit debris and sediments, and contaminate freshwater resources, making them unsuitable for both human use and agriculture. High winds and flooding often damage electrical disubstations and transformers, leading to disruptions in electricity supply. Restoration can take days or even weeks, depending on the extent of the damage and the resources available. In the meantime, communities affected by power outages may experience difficulties accessing essential services and maintaining communication. In this study, we used a weighted maximum likelihood classification algorithm to reclassify NOAA’s National Geodetic Survey Emergency Response Imagery scenes into debris, sand, water, trees, and roofs to assess the extent of the damage around Mexico Beach, Florida, following the 2018 Hurricane Michael. NASA’s Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) was processed to estimate power outage duration and rate of restoration in the Florida Panhandle based on the 7-day moving averages. Percent loss of electrical service at a neighborhood level was estimated using the 2013–2017 American Community Survey block group data. Spatial lag models were employed to examine the association between restoration rates and socioeconomic factors. The analysis revealed notable differences in power-restoration rates between urbanized and rural areas and between disadvantaged and more affluent communities. The findings indicated that block groups with higher proportions of minorities, multi-family housing units, rural locations, and households receiving public assistance experienced slower restoration of power compared to urban and more affluent neighborhoods. These results underscore the importance of integrating socioeconomic factors into disaster preparedness and recovery-planning efforts, emphasizing the need for targeted interventions to mitigate disparities in recovery times following natural disasters. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2072-4292 |
| Relation: |
https://www.mdpi.com/2072-4292/16/14/2588; https://doaj.org/toc/2072-4292 |
| DOI: |
10.3390/rs16142588 |
| URL الوصول: |
https://doaj.org/article/6c1f4749c938496aa86d011fbd08dc8b |
| رقم الانضمام: |
edsdoj.6c1f4749c938496aa86d011fbd08dc8b |
| قاعدة البيانات: |
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