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探讨德克萨斯州休斯顿大都市区哈维飓风洪水的环境正义影响。

Exploring the Environmental Justice Implications of Hurricane Harvey Flooding in Greater Houston, Texas.

机构信息

Jayajit Chakraborty is with the Department of Sociology & Anthropology and the Socio-Environmental and Geospatial Analysis Lab, University of Texas at El Paso. Timothy W. Collins is with the Department of Geography, and Sara E. Grineski is with the Department of Sociology, University of Utah, Salt Lake City.

出版信息

Am J Public Health. 2019 Feb;109(2):244-250. doi: 10.2105/AJPH.2018.304846. Epub 2018 Dec 20.

Abstract

OBJECTIVES

To assess the environmental justice implications of flooding from Hurricane Harvey in Greater Houston, Texas, we analyzed whether the areal extent of flooding was distributed inequitably with respect to race, ethnicity, and socioeconomic status, after controlling for relevant explanatory factors.

METHODS

Our study integrated cartographic information from Harvey's Inundation Footprint, developed by the US Federal Emergency Management Agency, with sociodemographic data from the 2012-2016 American Community Survey. Statistical analyses were based on bivariate correlations and multivariate generalized estimating equations.

RESULTS

The areal extent of Harvey-induced flooding was significantly greater in neighborhoods with a higher proportion of non-Hispanic Black and socioeconomically deprived residents after we controlled for contextual factors and clustering.

CONCLUSIONS

Results provide evidence of racial/ethnic and socioeconomic injustices in the distribution of flooding and represent an important starting point for more detailed investigation of disproportionate impacts associated with Hurricane Harvey. Public Health Implications. Our findings highlight the need to prepare for and address the unequal social consequences of climate change-related disasters, which are expected to increase in frequency and severity.

摘要

目的

评估德克萨斯州休斯顿大都市区哈维飓风引发洪水的环境公平性,我们在控制了相关解释因素后,分析了洪水泛滥的面积是否在种族、民族和社会经济地位方面存在不公平分布。

方法

我们的研究整合了美国联邦紧急事务管理局(US Federal Emergency Management Agency)开发的哈维淹没足迹(Harvey's Inundation Footprint)的制图信息,以及 2012-2016 年美国社区调查(American Community Survey)的社会人口数据。统计分析基于双变量相关性和多变量广义估计方程。

结果

在控制了背景因素和聚类后,我们发现,在非西班牙裔黑人比例较高且社会经济贫困的社区,哈维引发的洪水泛滥面积明显更大。

结论

研究结果提供了洪水分布方面存在种族/民族和社会经济不公正的证据,这代表了对与哈维飓风相关的不成比例影响进行更详细调查的重要起点。公共卫生意义。我们的研究结果强调了需要为与气候变化相关的灾害的不平等社会后果做好准备并加以应对,预计这些灾害的频率和严重程度将会增加。

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