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美国大西洋和墨西哥湾沿岸当前和未来飓风洪水风险的空间异质性。

Spatial heterogeneities of current and future hurricane flood risk along the U.S. Atlantic and Gulf coasts.

机构信息

Guy Carpenter Asia-Pacific Climate Impact Centre, School of Energy and Environment, City University of Hong Kong, Hong Kong Special Administrative Region; Department of Civil and Environmental Engineering, Princeton University, USA.

Department of Civil and Environmental Engineering, Princeton University, USA.

出版信息

Sci Total Environ. 2020 Apr 15;713:136704. doi: 10.1016/j.scitotenv.2020.136704. Epub 2020 Jan 15.

Abstract

We evaluate the spatial heterogeneities of hurricane flood risk along the United States (U.S.) Atlantic and Gulf coasts under two different climate scenarios (current and future). The flood hazard is presented as the hurricane surge flood level with 1% annual exceedance probability (100-year flood) under the two scenarios, where the future scenario considers the effect of hurricane climatology change and sea level rise towards late-21st-century under a high emission scenario (RCP8.5). This hazard information is combined with estimated vulnerability and disaster resilience of coastal communities to map the relative current and future risk employing different risk definitions. Several geographical techniques and spatial distributional models (e.g., spatial autocorrelation, spatial hotspot analysis, and spatial multivariate clustering analysis) are applied to systematically analyze the risk and identify statistically significant hotspots of the highest risk. Most of the high-risk hotspots are found in the Gulf coast region, particularly along the west coast of Florida. However, two out of three risk evaluation approaches also indicate New York City as a risk hotspot under the future climate-showing that the resultant risk is sensitive to the consideration of evaluation factors (i.e., hazard, vulnerability, and resilience). Additionally, we apply a machine-learning algorithm-based spatial multivariate approach to map the spatially distinct groups based on the values of risk, hazard, vulnerability, and resilience. The results show that the counties in the highest risk group (value >3rd quartile, 15% of total counties, including New York City) in the future lack specifically in the community capital and the social components of community resilience. This assessment of coastal risk to hurricane flood has important policy-relevant implications to provide a focus-for-action for risk reduction and resilience enhancement for the U.S., where 6.5 million households live in the hurricane flood-prone areas.

摘要

我们评估了美国(美国)大西洋和墨西哥湾沿岸在两种不同气候情景(当前和未来)下飓风洪水风险的空间异质性。洪水危害表现为两种情景下的飓风涌浪洪水水位,超过概率为 1%(百年一遇洪水),未来情景考虑了到 21 世纪后期高排放情景(RCP8.5)下飓风气候变化和海平面上升的影响。该危险信息与沿海社区的估计脆弱性和灾害恢复能力相结合,根据不同的风险定义绘制当前和未来风险的相对风险图。几种地理技术和空间分布模型(例如空间自相关、空间热点分析和空间多变量聚类分析)被应用于系统地分析风险,并识别具有统计学意义的最高风险热点。大多数高风险热点都位于墨西哥湾沿岸地区,特别是佛罗里达州西海岸。然而,三种风险评估方法中有两种方法还表明,纽约市是未来气候下的风险热点——这表明风险对评估因素(即危险、脆弱性和恢复力)的考虑很敏感。此外,我们还应用基于机器学习算法的空间多变量方法,根据风险、危险、脆弱性和恢复力的值来绘制具有空间差异的组。结果表明,未来风险最高组(值>第 3 四分位数,占总县的 15%,包括纽约市)的县在社区资本和社区恢复力的社会组成部分方面特别缺乏。这种对飓风洪水沿海风险的评估对美国具有重要的政策相关性,美国有 650 万户家庭居住在飓风洪水易发地区,这为减少风险和增强恢复力提供了行动重点。

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