Joshua Kiesel, Marvin Lorenz, Marcel König, Ulf Gräwe, A. Vafeidis
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Most of the flooding occurs in the federal state of Mecklenburg-Western Pomerania, while extreme water levels are generally higher in Schleswig-Holstein. Our results emphasise the importance of current plans to update coastal protection schemes along the German Baltic Sea coast over the 21st century in order to prevent large-scale damage in the future.\n","PeriodicalId":18922,"journal":{"name":"Natural Hazards and Earth System Sciences","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Regional assessment of extreme sea levels and associated coastal flooding along the German Baltic Sea coast\",\"authors\":\"Joshua Kiesel, Marvin Lorenz, Marcel König, Ulf Gräwe, A. Vafeidis\",\"doi\":\"10.5194/nhess-23-2961-2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. 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引用次数: 5
摘要
摘要在波罗的海沿岸国中,由于海平面上升(SLR)导致沿海洪水增加,预计德国将遭受相当大的损失。因此,对洪水风险评估的需求越来越大,特别是在区域范围内,这将提高对SLR影响的理解,并有助于适应规划。关于德国波罗的海沿岸沿海洪水的现有研究要么使用最先进的流体动力学模型,但只覆盖研究区域的一小部分,要么评估整个区域的潜在洪水范围,但依赖全球地形数据源,并应用简化的浴缸法。此外,通常没有提供生产洪水范围的验证。在这里,我们应用了一个经过充分验证的涵盖德国波罗的海海岸的流体动力学建模框架,其中包括研究区域内自然和人为海岸保护结构的高度。使用该建模框架,我们推断了空间上明确的200年一遇水位,该水位与该地区各州堤防的设计标准一致,并模拟了相关的沿海洪水。具体而言,我们通过应用两种高端SLR场景(1和1.5 m) ;(2) 沿海洪水热点;以及(3)使用SAR图像来验证模拟洪水范围。我们的研究结果证实,德国波罗的海沿岸面临沿海洪水,洪水范围在217至1016之间 200年一遇和200年一遇的1.5平方公里 m SLR。大部分洪水发生在联邦梅克伦堡-西波美拉尼亚州,而石勒苏益格-荷尔斯泰因州的极端水位通常更高。我们的研究结果强调了当前计划的重要性,即在21世纪更新德国波罗的海沿岸的海岸保护计划,以防止未来发生大规模破坏。
Regional assessment of extreme sea levels and associated coastal flooding along the German Baltic Sea coast
Abstract. Among the Baltic Sea littoral states, Germany is anticipated to endure considerable damage as a result of increased coastal flooding due to sea-level rise (SLR). Consequently, there is a growing demand for flood risk assessments, particularly at regional scales, which will improve the understanding of the impacts of SLR and assist adaptation planning. Existing studies on coastal flooding along the German Baltic Sea coast either use state-of-the-art hydrodynamic models but cover only a small fraction of the study region or assess potential flood extents for the entire region but rely on global topographic data sources and apply the simplified bathtub approach. In addition, the validation of produced flood extents is often not provided. Here we apply a fully validated hydrodynamic modelling framework covering the German Baltic Sea coast that includes the height of natural and anthropogenic coastal protection structures in the study region. Using this modelling framework, we extrapolate spatially explicit 200-year return water levels, which align with the design standard of state embankments in the region, and simulate associated coastal flooding. Specifically, we explore (1) how flood extents may change until 2100 if dike heights are not upgraded, by applying two high-end SLR scenarios (1 and 1.5 m); (2) hotspots of coastal flooding; and (3) the use of SAR imagery for validating the simulated flood extents. Our results confirm that the German Baltic coast is exposed to coastal flooding, with flood extent varying between 217 and 1016 km2 for the 200-year event and a 200-year event with 1.5 m SLR, respectively. Most of the flooding occurs in the federal state of Mecklenburg-Western Pomerania, while extreme water levels are generally higher in Schleswig-Holstein. Our results emphasise the importance of current plans to update coastal protection schemes along the German Baltic Sea coast over the 21st century in order to prevent large-scale damage in the future.
期刊介绍:
Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.