Potsdam Institute for Climate Impact Research, Potsdam, Germany.
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany.
Sci Data. 2023 Jul 22;10(1):482. doi: 10.1038/s41597-023-02376-9.
We present a new open source dataset FLODIS that links estimates of flood-induced human displacements, fatalities, and economic damages to flooded areas observed through remote sensing. The dataset connects displacement data from the Internal Displacement Monitoring Centre (IDMC), as well as data on fatalities and damages from the Emergency Events Database (EM-DAT), with the Global Flood Database (GFD), a satellite-based inventory of historic flood footprints. It thereby provides a spatially explicit estimate of the flood hazard underlying each individual disaster event. FLODIS contains two datasets with event-specific information for 335 human displacement events and 695 mortality/damage events that occurred around the world between 2000 and 2018. Additionally, we provide estimates of affected population, GDP, and critical infrastructure, as well as socio-economic indicators; and we provide geocoding for displacement events ascribed to other types of disasters, such as tropical cyclones, so that they may be linked to corresponding hazard estimates in future work. FLODIS facilitates integrated flood risk analysis, allowing, for example, for detailed assessments of local flood-damage and displacement vulnerability.
我们提出了一个新的开源数据集 FLODIS，该数据集将洪水引发的人员流离失所、死亡和经济损失的估计与通过遥感观测到的洪水区域联系起来。该数据集将流离失所数据（来自内部流离失所监测中心[IDMC]）以及死亡和损失数据（来自紧急事件数据库[EM-DAT]）与基于卫星的历史洪水足迹清单全球洪水数据库（GFD）相连接。它从而为每个单独的灾害事件提供了洪水危险的空间明确估计。FLODIS 包含两个数据集，其中包含 2000 年至 2018 年间全球发生的 335 个人口流离失所事件和 695 起死亡/损失事件的特定事件信息。此外，我们还提供了受灾人口、国内生产总值和关键基础设施以及社会经济指标的估计值；我们还提供了其他类型灾害（如热带气旋）归因于流离失所事件的地理编码，以便在未来的工作中可以将其与相应的危险估计值联系起来。FLODIS 便于进行综合洪水风险分析，例如可以对当地洪水破坏和流离失所脆弱性进行详细评估。
