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社会脆弱性因素与华盛顿州停电负担的关联:2018-2021 年。

Association of social vulnerability factors with power outage burden in Washington state: 2018-2021.

机构信息

Department of Nursing and Systems Science, College of Nursing Washington State University College of Nursing, Spokane, WA, United States of America.

Elon S. Floyd College of Medicine, Washington State University, Spokane, WA, United States of America.

出版信息

PLoS One. 2024 Sep 4;19(9):e0307742. doi: 10.1371/journal.pone.0307742. eCollection 2024.

Abstract

Major power outages have risen over the last two decades, largely due to more extreme weather conditions. However, there is a lack of knowledge on the distribution of power outages and its relationship to social vulnerability and co-occurring hazards. We examined the associations between localized outages and social vulnerability factors (demographic characteristics), controlling for environmental factors (weather), in Washington State between 2018-2021. We additionally analyzed the validity of PowerOutage.us data compared to federal datasets. The population included 27 counties served by 14 electric utilities. We developed a continuous measure of daily outage burden using PowerOutage.us data and operationalized social vulnerability using four factors: poverty level, unemployment, disability, and limited English proficiency. We applied zero-altered lognormal generalized additive mixed-effects models to characterize the relationship between social vulnerability and daily power outage burden, controlling for daily minimum temperature, maximum wind speed, and precipitation, from 2018 to 2021 in Washington State. We found that social vulnerability factors have non-linear relationships with outages. Wind and precipitation are consistent drivers of outage occurrence and duration. There are seasonal effects that vary by county-utility area. Both PowerOutage.us and federal datasets have missing and inaccurate outage data. This is the first study evaluating differential exposure to localized outages as related to social vulnerability that has accounted for weather and temporal correlation. There is a lack of transparency into power outage distribution for those most vulnerable to climate impacts, despite known contributions by electric utilities to climate change. For effective public health surveillance of power outages and transparency, outage data should be made available at finer spatial resolution and temporal scales and/or utilities should be required to report differential exposure to power outages for socially vulnerable populations.

摘要

在过去的二十年中,大规模停电事件有所增加,这主要是由于极端天气条件的增加。然而,人们对停电的分布及其与社会脆弱性和并发灾害的关系知之甚少。我们研究了 2018 年至 2021 年期间华盛顿州局部停电与社会脆弱性因素(人口特征)之间的关联,同时控制了环境因素(天气)。我们还分析了 PowerOutage.us 数据与联邦数据集的有效性。该人群包括 14 家电力公司服务的 27 个县。我们使用 PowerOutage.us 数据开发了一种每日停电负担的连续衡量标准,并使用四个因素(贫困水平、失业、残疾和英语水平有限)来实施社会脆弱性。我们应用零修改对数正态广义加性混合效应模型来描述社会脆弱性与每日停电负担之间的关系,同时控制 2018 年至 2021 年期间华盛顿州每日最低温度、最大风速和降水量。我们发现社会脆弱性因素与停电之间存在非线性关系。风和降水是停电发生和持续时间的一致驱动因素。季节性效应因县-公用事业区而异。PowerOutage.us 和联邦数据集都存在停电数据缺失和不准确的情况。这是第一项评估与社会脆弱性相关的局部停电差异暴露的研究,该研究考虑了天气和时间相关性。尽管电力公司对气候变化有已知的贡献,但那些最容易受到气候影响的人对停电分布缺乏透明度。为了对停电进行有效的公共卫生监测和透明度,停电数据应在更精细的空间分辨率和时间尺度上提供,或者应该要求公用事业公司报告社会脆弱人群的停电差异暴露情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b96/11373849/4bebc485b9f3/pone.0307742.g001.jpg

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