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Assessing the hydrodynamic boundary conditions for risk analyses in coastal areas: a stochastic storm surge model

机译:评估沿海地区水动力边界条件以进行风险分析:随机风暴潮模型

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摘要

This paper describes a methodology to stochastically simulate a large number of storm surge scenarios (here: 10 million). The applied model is very cheap in computation time and will contribute to improve the overall results from integrated risk analyses in coastal areas. Initially, the observed storm surge events from the tide gauges of Cuxhaven (located in the Elbe estuary) and H?rnum (located in the southeast of Sylt Island) are parameterised by taking into account 25 parameters (19 sea level parameters and 6 time parameters). Throughout the paper, the total water levels are considered. The astronomical tides are semidiurnal in the investigation area with a tidal range >2 m. The second step of the stochastic simulation consists in fitting parametric distribution functions to the data sets resulting from the parameterisation. The distribution functions are then used to run Monte-Carlo-Simulations. Based on the simulation results, a large number of storm surge scenarios are reconstructed. Parameter interdependencies are considered and different filter functions are applied to avoid inconsistencies. Storm surge scenarios, which are of interest for risk analyses, can easily be extracted from the results.
机译:本文介绍了一种随机模拟大量风暴潮情景(此处为1000万)的方法。该应用模型的计算时间非常便宜,并将有助于改善沿海地区综合风险分析的总体结果。最初,通过考虑25个参数(19个海平面参数和6个时间参数)对来自Cuxhaven(位于易北河河口)和H?rnum(位于叙尔特岛东南部)潮汐计观测到的风暴潮事件进行参数化)。整篇论文都考虑了总水位。在研究区域中,天文潮为半日潮,潮汐范围大于2 m。随机模拟的第二步在于将参数分布函数拟合到参数化产生的数据集。然后使用分布函数来运行蒙特卡洛模拟。根据仿真结果,重建了大量风暴潮情景。考虑参数相互依赖关系,并应用不同的过滤器功能以避免不一致。可以轻松地从结果中提取风暴潮场景,这是风险分析所需要的。

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