气候变化领域集成服务门户(CCPortal): Economic losses from extreme weather in the U.S. Gulf Coast region: Spatially differential contributions of climate hazard and socioeconomic exposure and vulnerability

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DOI	10.1088/1748-9326/ab7b9a
	Economic losses from extreme weather in the U.S. Gulf Coast region: Spatially differential contributions of climate hazard and socioeconomic exposure and vulnerability
	Surendran Nair S.; King A.W.; Gulledge J.; Preston B.L.; McManamay R.A.; Clark C.D.
发表日期	2020
ISSN	17489318
卷号	15 期号:7
英文摘要	Worldwide economic losses from extreme weather events (EWE) have increased over recent decades, with significant geographic heterogeneity in damages. The IPCC defines the risk from EWE as a function of the climate hazard, socioeconomic exposure, and vulnerability. Although these three drivers vary at fine spatial scales, spatial variability largely has been overlooked in assessments of the drivers of economic loss from EWE. Using cluster analysis, we developed a novel socio-climate hazard typology (SCT) that integrates locally defined climate hazard and socioeconomic exposure and social vulnerability typologies. The results identified 838 unique SCT types impacted by EWE across the Gulf Coastal United States during 1981-2010. We regressed the SCT types and their constituent hazard and socioeconomic components against the cumulative economic loss (1981-2010) from EWE for each SCT type. Across the landscape, economic damages of SCT types were determined by unique, spatially explicit combinations of different risk factors, even in explaining the same level of economic loss. For example, multi-billion-dollar damages in the central Gulf Coast and peninsular Florida were explained by different drivers of risk, with damages in the former explained by additive interaction between climate hazard and multiplicative interaction between climate hazard and socioeconomic exposure and vulnerability, and in the latter explained by socioeconomic exposure and vulnerability. These results highlight the need to diagnose additive and multiplicative interactions among drivers of EWE risk in a spatially explicit context. © 2020 The Author(s). Published by IOP Publishing Ltd.
语种	英语
scopus关键词	Additives; Cluster analysis; Extreme weather; Losses; Climate hazards; Different risk factors; Differential contribution; Economic damages; Extreme weather events; Social vulnerability; Spatial variability; Spatially explicit; Hazards; climate change; economic analysis; extreme event; hazard assessment; health risk; socioeconomic status; typology; vulnerability; Florida [United States]; Gulf Coast [United States]; United States
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153921
作者单位	Oak Ridge National Laboratory, Climate Change Science Institute, Oak Ridge, TN 37831-6253, United States; Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6253, United States; Biosystems Engineering and Soil Science, University of Tennessee, Knoxville, TN 37996-4506, United States; Rand Corporation, Santa Monica, CA 90407, United States; Department of Environmental Science, Baylor University, Waco, TX 76798-7266, United States; Agricultural and Resource Economics, University of Tennessee, Knoxville, TN 37996-4506, United States
推荐引用方式 GB/T 7714	Surendran Nair S.,King A.W.,Gulledge J.,et al. Economic losses from extreme weather in the U.S. Gulf Coast region: Spatially differential contributions of climate hazard and socioeconomic exposure and vulnerability[J],2020,15(7).
APA	Surendran Nair S.,King A.W.,Gulledge J.,Preston B.L.,McManamay R.A.,&Clark C.D..(2020).Economic losses from extreme weather in the U.S. Gulf Coast region: Spatially differential contributions of climate hazard and socioeconomic exposure and vulnerability.Environmental Research Letters,15(7).
MLA	Surendran Nair S.,et al."Economic losses from extreme weather in the U.S. Gulf Coast region: Spatially differential contributions of climate hazard and socioeconomic exposure and vulnerability".Environmental Research Letters 15.7(2020).