Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41467-020-15264-2 |
New insights into US flood vulnerability revealed from flood insurance big data | |
Wing, Oliver E. J.1,2; Pinter, Nicholas3,4; Bates, Paul D.1,2; Kousky, Carolyn5 | |
2020-03-19 | |
发表期刊 | NATURE COMMUNICATIONS |
ISSN | 2041-1723 |
出版年 | 2020 |
卷号 | 11期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | England; USA |
英文摘要 | Improvements in modelling power and input data have vastly improved the precision of physical flood models, but translation into economic outputs requires depth-damage functions that are inadequately verified. In particular, flood damage is widely assumed to increase monotonically with water depth. Here, we assess flood vulnerability in the US using >2 million claims from the National Flood Insurance Program (NFIP). NFIP claims data are messy, but the size of the dataset provides powerful empirical tests of damage patterns and modelling approaches. We show that current depth-damage functions consist of disparate relationships that match poorly with observations. Observed flood losses are not monotonic functions of depth, but instead better follow a beta function, with bimodal distributions for different water depths. Uncertainty in flood losses has been called the main bottleneck in flood risk studies, an obstacle that may be remedied using large-scale empirical flood damage data. |
领域 | 地球科学 ; 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000522139500002 |
WOS关键词 | DAMAGE ASSESSMENT ; MODEL ; RISK ; UNCERTAINTY |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/249653 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Bristol, Sch Geog Sci, Bristol, Avon, England; 2.Fathom, Bristol, Avon, England; 3.Univ Calif Davis, Dept Earth & Planetary Sci, Davis, CA 95616 USA; 4.Univ Calif Davis, Ctr Watershed Sci, Davis, CA 95616 USA; 5.Univ Penn, Wharton Risk Ctr, Philadelphia, PA 19104 USA |
推荐引用方式 GB/T 7714 | Wing, Oliver E. J.,Pinter, Nicholas,Bates, Paul D.,et al. New insights into US flood vulnerability revealed from flood insurance big data[J]. NATURE COMMUNICATIONS,2020,11(1). |
APA | Wing, Oliver E. J.,Pinter, Nicholas,Bates, Paul D.,&Kousky, Carolyn.(2020).New insights into US flood vulnerability revealed from flood insurance big data.NATURE COMMUNICATIONS,11(1). |
MLA | Wing, Oliver E. J.,et al."New insights into US flood vulnerability revealed from flood insurance big data".NATURE COMMUNICATIONS 11.1(2020). |
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