欧洲和地中海盆地地区河流洪水灾害地图的新数据集

F. Dottori, L. Alfieri, A. Bianchi, J. Skøien, P. Salamon
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引用次数: 15

摘要

摘要在过去的几年里,大陆尺度的河流洪水危险地图变得越来越重要。如今,它们被用于各种研究和商业活动,例如评估当前和未来的风险情景和适应战略,以及支持国家和地方洪水风险管理计划。在这里,我们提出了一套新的河流洪水危害图,涵盖了欧洲大部分地区以及高加索、中东和北非国家进入地中海和黑海的所有河流流域。地图以100米的分辨率显示了329,000公里河网的六个不同的洪水回潮期的淹没情况。输入的河流流量数据由水文模型LISFLOOD生成,而洪水模拟使用二维水动力模型LISFLOOD- fp进行。为了对新地图的技能进行概述,我们使用匈牙利、意大利、挪威、西班牙和英国的官方危险地图对新地图进行了详细的验证。我们发现,模拟地图平均可以识别参考洪水范围的三分之二,然而,对于洪水概率低于100年1次的地区,它们也高估了洪水易发地区,而对于回复期等于或高于500年的地区,地图可以正确识别超过一半的洪水地区。我们将观察到的技能归因于建模框架的一些缺点,例如缺乏防洪设施和上游面积低于500平方公里的河流,以及在表示河道和低地地区地形方面的局限性。此外,参考地图的巨大可变性影响了验证区域的正确识别,从而降低了分数。然而,当使用相似的参数进行验证时,模拟地图的结果与现有的大尺度洪水模型相当。我们的结论是,最近发布的高分辨率高程数据集与可靠的河道几何数据相结合,可能极大地有助于改进未来大陆尺度洪水灾害图的版本。该数据库可从https://data.jrc.ec.europa.eu/dataset/1d128b6c-a4ee-4858-9e34-6210707f3c81下载(Dottori et al., 2020a)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new dataset of river flood hazard maps for Europe and the Mediterranean Basin region
Abstract. Continental scale hazard maps for riverine floods have grown in importance in the last years. Nowadays, they are used for a variety of research and commercial activities, such as evaluating present and future risk scenarios and adaptation strategies, as well as a support of national and local flood risk management plans. Here, we present a new set of hazard maps for river flooding that covers most of the geographical Europe and all the river basins entering the Mediterranean and Black Seas in the Caucasus, Middle East and Northern Africa countries. Maps represent inundation along 329’000 km of river network at 100 m resolution, for six different flood return periods. The input river flow data is produced by the hydrological model LISFLOOD, while inundation simulations are performed with the 2D hydrodynamic modelling LISFLOOD-FP. To provide an overview of the skill of the new maps, we undertake a detailed validation exercise of the new maps using official hazard maps for Hungary, Italy, Norway, Spain and the United Kingdom. We find that modelled maps can identify on average two-thirds of reference flood extent, however they also overestimate flood-prone areas for flood probabilities below 1-in-100-year, while for return periods equal or above 500 years the maps can correctly identify more than half of flooded areas. We attribute the observed skill to a number of shortcomings of the modelling framework, such as the absence of flood protections and rivers with upstream area below 500 km2, and the limitations in representing river channels and topography of low land areas. In addition, the large variability of reference maps affects the correct identification of the areas for the validation, thus penalizing scores. However, modelled maps achieve comparable results to existing large-scale flood models when using similar parameters for the validation. We conclude that recently released high-resolution elevation datasets combined with reliable data of river channel geometry may greatly contribute to improve future versions of continental-scale flood hazard maps. The database is available for download at https://data.jrc.ec.europa.eu/dataset/1d128b6c-a4ee-4858-9e34-6210707f3c81 (Dottori et al., 2020a).
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