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Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA
Power outages threaten public health. While outages will likely increase with climate change, an aging electrical grid, and increased energy demand, little is known about their frequency and distribution within states. Here, we characterize 2018–2020 outages, finding an average of 520 million custom...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147900/ https://www.ncbi.nlm.nih.gov/pubmed/37120649 http://dx.doi.org/10.1038/s41467-023-38084-6 |
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author | Do, Vivian McBrien, Heather Flores, Nina M. Northrop, Alexander J. Schlegelmilch, Jeffrey Kiang, Mathew V. Casey, Joan A. |
author_facet | Do, Vivian McBrien, Heather Flores, Nina M. Northrop, Alexander J. Schlegelmilch, Jeffrey Kiang, Mathew V. Casey, Joan A. |
author_sort | Do, Vivian |
collection | PubMed |
description | Power outages threaten public health. While outages will likely increase with climate change, an aging electrical grid, and increased energy demand, little is known about their frequency and distribution within states. Here, we characterize 2018–2020 outages, finding an average of 520 million customer-hours total without power annually across 2447 US counties (73.7% of the US population). 17,484 8+ hour outages (a medically-relevant duration with potential health consequences) and 231,174 1+ hour outages took place, with greatest prevalence in Northeastern, Southern, and Appalachian counties. Arkansas, Louisiana, and Michigan counties experience a dual burden of frequent 8+ hour outages and high social vulnerability and prevalence of electricity-dependent durable medical equipment use. 62.1% of 8+ hour outages co-occur with extreme weather/climate events, particularly heavy precipitation, anomalous heat, and tropical cyclones. Results could support future large-scale epidemiology studies, inform equitable disaster preparedness and response, and prioritize geographic areas for resource allocation and interventions. |
format | Online Article Text |
id | pubmed-10147900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101479002023-05-01 Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA Do, Vivian McBrien, Heather Flores, Nina M. Northrop, Alexander J. Schlegelmilch, Jeffrey Kiang, Mathew V. Casey, Joan A. Nat Commun Article Power outages threaten public health. While outages will likely increase with climate change, an aging electrical grid, and increased energy demand, little is known about their frequency and distribution within states. Here, we characterize 2018–2020 outages, finding an average of 520 million customer-hours total without power annually across 2447 US counties (73.7% of the US population). 17,484 8+ hour outages (a medically-relevant duration with potential health consequences) and 231,174 1+ hour outages took place, with greatest prevalence in Northeastern, Southern, and Appalachian counties. Arkansas, Louisiana, and Michigan counties experience a dual burden of frequent 8+ hour outages and high social vulnerability and prevalence of electricity-dependent durable medical equipment use. 62.1% of 8+ hour outages co-occur with extreme weather/climate events, particularly heavy precipitation, anomalous heat, and tropical cyclones. Results could support future large-scale epidemiology studies, inform equitable disaster preparedness and response, and prioritize geographic areas for resource allocation and interventions. Nature Publishing Group UK 2023-04-29 /pmc/articles/PMC10147900/ /pubmed/37120649 http://dx.doi.org/10.1038/s41467-023-38084-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Do, Vivian McBrien, Heather Flores, Nina M. Northrop, Alexander J. Schlegelmilch, Jeffrey Kiang, Mathew V. Casey, Joan A. Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA |
title | Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA |
title_full | Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA |
title_fullStr | Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA |
title_full_unstemmed | Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA |
title_short | Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA |
title_sort | spatiotemporal distribution of power outages with climate events and social vulnerability in the usa |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147900/ https://www.ncbi.nlm.nih.gov/pubmed/37120649 http://dx.doi.org/10.1038/s41467-023-38084-6 |
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