Power outage and environmental justice in Winter Storm Uri: an analytical workflow based on nighttime light remote sensing

Power outage and environmental justice in Winter Storm Uri: an analytical workflow based on nighttime light remote sensing
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冬季风暴乌里的停电与环境正义:基于夜间灯光遥感的分析工作流程

DOI:
10.1080/17538947.2023.2224087
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发表时间:
2023
影响因子:
5.1
通讯作者:
Zou, Lei
Zou, Lei
中科院分区:
地球科学1区
文献类型:
--
作者:
Xu, Jinwen;Qiang, Yi;Cai, Heng;Zou, Lei

文献摘要

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极端天气事件的强度不断增加,对社会构成了独特的威胁,并凸显了我们基础设施关键组成部分电力系统的重要性。在恶劣天气事件中,快速识别停电影响区域和受影响社区对于明智的灾害响应至关重要。然而,缺乏家庭停电数据阻碍了及时和准确的评估。为了应对这些挑战,我们引入了一个分析工作流程,使用美国宇航局的黑色大理石每日夜间灯光(NTL)图像来检测2021年冬季风暴Uri造成的停电。此工作流包括调整以减轻视角和雪反射效果。停电检测比较风暴时间和基线(正常条件下)NTL图像使用经验调整方程。工作流程的结果是500米分辨率的停电地图,当NTL强度降低26%时,该地图与真实的停电跟踪数据具有最佳相关性。与由此产生的停电地图,我们分析了停电和弱势群体之间的关系,在126个德克萨斯州县和4182个人口普查区,以评估风暴中的环境正义。结果表明,拉丁裔/西班牙裔社区往往遭受更多的停电在县和人口普查区的水平。
The intensity of extreme weather events has been increasing, posing a unique threat to society and highlighting the importance of our electrical power system, a key component in our infrastructure. In severe weather events, quickly identifying power outage impact zones and affected communities is crucial for informed disaster response. However, a lack of household-level power outage data impedes timely and precise assessments. To address these challenges, we introduced an analytical workflow using NASA’s Black Marble daily nighttime light (NTL) images to detect power outages from the 2021 Winter Storm Uri. This workflow includes adjustments to mitigate viewing angle and snow reflection effects. Power outage is detected by comparing storm-time and baseline (normal condition) NTL images using an empirical adjusted equation. The outcomes of the workflow are 500-meter resolution power outage maps, which have the optimal correlation with real outage tracking data when NTL intensity is reduced by 26%. With the resultant power outage maps, we analyzed the relations between power outages and disadvantaged populations in 126 Texas counties and 4182 census tracts to evaluate environmental justice in the storm. The results show that Latino/Hispanic communities tend to suffer more from power outages at both the county and census tract levels.