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有毒潮汐与环境不公:海平面上升与沿海加利福尼亚危险地带洪水泛滥下的社会脆弱性。

Toxic Tides and Environmental Injustice: Social Vulnerability to Sea Level Rise and Flooding of Hazardous Sites in Coastal California.

机构信息

Department of Environmental Health Sciences, University of California Los Angeles, Los Angeles, California 90095, United States.

School of Architecture and Urban Planning, Nanjing University, Nanjing, China 210093.

出版信息

Environ Sci Technol. 2023 May 16;57(19):7370-7381. doi: 10.1021/acs.est.2c07481. Epub 2023 May 2.

DOI:10.1021/acs.est.2c07481
PMID:37129408
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10193577/
Abstract

Sea level rise (SLR) and heavy precipitation events are increasing the frequency and extent of coastal flooding, which can trigger releases of toxic chemicals from hazardous sites, many of which are in low-income communities of color. We used regression models to estimate the association between facility flood risk and social vulnerability indicators in low-lying block groups in California. We applied dasymetric mapping techniques to refine facility boundaries and population estimates and probabilistic SLR projections to estimate facilities' future flood risk. We estimate that 423 facilities are at risk of flooding in 2100 under a high emissions scenario (RCP 8.5). One unit standard deviation increases in nonvoters, poverty rate, renters, residents of color, and linguistically isolated households were associated with a 1.5-2.2 times higher odds of the presence of an at-risk site within 1 km (ORs [95% CIs]: 2.2 [1.8, 2.8], 1.9 [1.5, 2.3], 1.7 [1.4, 1.9], 1.5 [1.2, 1.9], and 1.5 [1.2, 1.9], respectively). Among block groups near at least one at-risk site, the number of sites increased with poverty, proportion of renters and residents of color, and lower voter turnout. These results underscore the need for further research and disaster planning that addresses the differential hazards and health risks of SLR.

摘要

海平面上升 (SLR) 和强降水事件增加了沿海洪灾的频率和范围,这可能会引发危险场所释放有毒化学物质,其中许多危险场所都位于低收入有色人种社区。我们使用回归模型来估计加利福尼亚低洼街区组中设施洪水风险与社会脆弱性指标之间的关联。我们应用了密度分配制图技术来细化设施边界和人口估计,并应用概率性 SLR 预测来估计设施未来的洪水风险。我们估计,在高排放情景 (RCP 8.5) 下,到 2100 年,有 423 个设施面临洪水风险。非选民、贫困率、租房者、有色人种居民和语言隔离家庭每增加一个单位标准差,就会使 1 公里范围内存在风险场所的可能性增加 1.5-2.2 倍(OR [95%CI]:2.2 [1.8, 2.8]、1.9 [1.5, 2.3]、1.7 [1.4, 1.9]、1.5 [1.2, 1.9] 和 1.5 [1.2, 1.9])。在至少有一个风险场所附近的街区组中,随着贫困、租房者和有色人种居民的比例以及选民投票率的降低,风险场所的数量有所增加。这些结果突显出需要进一步研究和灾害规划,以应对 SLR 的差异化危害和健康风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542f/10193577/f6133fcce975/es2c07481_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542f/10193577/f3b98a2626e5/es2c07481_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542f/10193577/31d2af2d49b4/es2c07481_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542f/10193577/f6133fcce975/es2c07481_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542f/10193577/f3b98a2626e5/es2c07481_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542f/10193577/31d2af2d49b4/es2c07481_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/542f/10193577/f6133fcce975/es2c07481_0003.jpg

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