Assistant Professor in the Department of Geography, University of Alabama, United States.
Master of Geographic Information Systems at Auburn University at Montgomery, United States.
Disasters. 2020 Jul;44(3):518-547. doi: 10.1111/disa.12383. Epub 2020 Jan 15.
Hurricanes and flooding have affected millions of people and generated massive economic losses over the past several decades. Geographic information system (GIS) methods are employed in this paper to analyse coastal communities' vulnerability to these two hazards along the Gulf Coast of the United States. Specifically, two types of quantitative indicators are developed: (i) exposure to hurricanes and flooding, based on information from multiple sources; and a social vulnerability index, constructed using census data. These indices are combined to depict the spatial patterns of overall community vulnerability to hurricanes and flooding along the US Gulf Coast. The results of this study can potentially inform disaster management agencies, county governments, and municipalities in areas at heightened risk. Furthermore, the demonstration of the geographic distribution of community vulnerability can assist decision-makers in prioritising to-do items and designing policies and plans for the more effective allocation of resources. The paper ends by discussing the study's limitations and its practical implications.
在过去几十年里,飓风和洪水灾害影响了数百万人,并造成了巨大的经济损失。本文采用地理信息系统(GIS)方法来分析美国墨西哥湾沿岸社区对这两种灾害的脆弱性。具体而言,开发了两种类型的定量指标:(i)基于多源信息的飓风和洪水暴露程度;以及使用人口普查数据构建的社会脆弱性指数。这些指标结合起来描绘了美国墨西哥湾沿岸社区对飓风和洪水整体脆弱性的空间模式。本研究的结果可能为高风险地区的灾害管理机构、县政府和市政府提供信息。此外,展示社区脆弱性的地理分布可以帮助决策者确定待办事项的优先级,并设计政策和计划,以便更有效地分配资源。本文最后讨论了研究的局限性及其实际意义。