Global Dataset of Extreme Sea Levels and Coastal Flood Impacts over the 21st Century
收藏DataCite Commons2024-05-21 更新2024-07-13 收录
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https://figshare.unimelb.edu.au/articles/dataset/Global_Dataset_of_Extreme_Sea_Levels_and_Coastal_Flood_Impacts_over_the_21st_Century/25874179/1
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资源简介:
A global database of coastal flooding impacts resulting from extreme sea levels is developed for the present-day and for the years 2050 and 2100. The database consists of three sub-datasets: the extreme sea levels, coastal areas flooded by these extreme sea levels and the resulting socioeconomic implications. The extreme sea levels consider the processes of storm surge, tide levels, breaking wave setup and relative sea level rise. The socioeconomic implications are expressed in terms of Expected Annual Population Affected (<i>EAPA</i>) and Expected Annual Damage (<i>EAD</i>), and presented at the global, regional and national scales. The <i>EAPA</i> and <i>EAD</i> are determined both for existing coastal defence levels and assuming two plausible adaptation scenarios, along with socioeconomic development narratives. All the sub-datasets can be visualised with a Digital Twin Platform based on a GIS based mapping host. This publicly available database provides a first-pass assessment, enabling users to extract and identify global and national coastal hotspots under different projections of sea level rise and socioeconomic developments.
本数据集针对当前时期以及2050年、2100年两个未来时段,构建了极端海平面诱发海岸洪水影响的全球数据库。该数据库包含三个子数据集:极端海平面数据、极端海平面淹没的海岸区域数据,以及由此产生的社会经济影响数据。其中极端海平面数据集涵盖了风暴潮、潮位、破波增水以及相对海平面上升等物理过程。社会经济影响以年均受影响人口(Expected Annual Population Affected, EAPA)和年均经济损失(Expected Annual Damage, EAD)为核心表征指标,并在全球、区域及国家三个尺度上进行呈现。上述EAPA与EAD指标同时基于现有海岸防御标准,以及两种合理的适应情景与社会经济发展叙事路径开展核算。所有子数据集均可通过基于地理信息系统(GIS)的地图托管服务搭建的数字孪生平台(Digital Twin Platform)进行可视化展示。本公开共享数据库可提供初步评估结果,支持用户提取并识别不同海平面上升情景与社会经济发展路径下的全球及国家尺度海岸洪水热点区域。
提供机构:
The University of Melbourne
创建时间:
2024-05-21
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供了全球极端海平面和沿海洪水影响的综合数据,包括当前和未来(2050年、2100年)的情景分析,涵盖极端海平面、洪水影响区域及其社会经济后果,适用于全球和国家的热点区域识别。
以上内容由遇见数据集搜集并总结生成



