Suppr超能文献

美国河流或沿海洪水危险区域人口的高分辨率估计。

High-resolution estimates of the US population in fluvial or coastal flood hazard areas.

作者信息

Gold Adam C, Steinberg-McElroy Ivy

机构信息

Environmental Defense Fund, Raleigh, NC, USA.

Environmental Defense Fund, New York, NY, USA.

出版信息

Sci Data. 2025 Aug 7;12(1):1377. doi: 10.1038/s41597-025-05717-y.

Abstract

Flooding is the most common and damaging natural disaster in the United States (US), and understanding the number of people at risk of flooding is critical information for planning. The dataset presented here uses publicly available census and building footprint data to improve upon previous estimates of the number of people and housing units in fluvial or coastal flood hazard areas in the contiguous US. To calculate the population and housing unit estimates, the ratio of total residential building footprint area that intersects high flood hazard areas is multiplied by 2020 Decennial Census block counts. This flexible framework will allow the dataset to be updated over time and with additional flood risk datasets such as those that incorporate pluvial flooding. These high-resolution estimates of people and housing in fluvial or coastal flood hazard areas will provide valuable information to flood resilience planning efforts.

摘要

洪水是美国最常见且最具破坏性的自然灾害,了解面临洪水风险的人数是规划的关键信息。此处呈现的数据集利用公开可用的人口普查和建筑占地面积数据,改进了之前对美国本土河流或沿海洪水危险区域内人口和住房单元数量的估计。为了计算人口和住房单元估计数,将与高洪水危险区域相交的住宅建筑占地面积总面积的比例乘以2020年十年一次的人口普查街区计数。这个灵活的框架将使数据集能够随着时间推移以及结合诸如包含暴雨洪水等额外洪水风险数据集进行更新。这些对河流或沿海洪水危险区域内人口和住房的高分辨率估计将为洪水恢复力规划工作提供有价值的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1413/12331959/38b703834b5d/41597_2025_5717_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验