Nardi F, Annis A, Di Baldassarre G, Vivoni E R, Grimaldi S
Water Resources Research and Documentation Centre (WARREDOC), University for Foreigners of Perugia, Perugia, Italy.
Department for Earth Sciences, Uppsala University, Uppsala, Sweden.
Sci Data. 2019 Jan 15;6:180309. doi: 10.1038/sdata.2018.309.
Identifying floodplain boundaries is of paramount importance for earth, environmental and socioeconomic studies addressing riverine risk and resource management. However, to date, a global floodplain delineation using a homogeneous procedure has not been constructed. In this paper, we present the first, comprehensive, high-resolution, gridded dataset of Earth's floodplains at 250-m resolution (GFPLAIN250m). We use the Shuttle Radar Topography Mission (SRTM) digital terrain model and set of terrain analysis procedures for geomorphic floodplain delineations. The elevation data are processed by a fast geospatial tool for floodplain mapping available for download at https://github.com/fnardi/GFPLAIN. The GFPLAIN250m dataset can support many applications, including flood hazard mapping, habitat restoration, development studies, and the analysis of human-flood interactions. To test the GFPLAIN250m dataset, we perform a consistency analysis with floodplain delineations derived by flood hazard modelling studies in Europe.
识别洪泛区边界对于涉及河流风险和资源管理的地球、环境及社会经济研究至关重要。然而，迄今为止，尚未构建出一个采用统一程序的全球洪泛区划定图。在本文中，我们展示了首个全面、高分辨率、分辨率为250米的地球洪泛区网格化数据集（GFPLAIN250m）。我们使用航天飞机雷达地形测绘任务（SRTM）数字地形模型和一套用于地貌洪泛区划定的地形分析程序。高程数据由一个用于洪泛区绘图的快速地理空间工具处理，该工具可在https://github.com/fnardi/GFPLAIN上下载。GFPLAIN250m数据集可支持许多应用，包括洪水灾害绘图、栖息地恢复、发展研究以及人类与洪水相互作用分析。为测试GFPLAIN250m数据集，我们与欧洲洪水灾害建模研究得出的洪泛区划定结果进行了一致性分析。
