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Frequency distributions of storm surge for coastal damage prevention at Marseilles

机译:马赛沿海损伤预防风暴浪涌的频率分布

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Densely low-lying populated areas and sand beaches along the Mediterranean French coast are threatened by extreme sea levels. In micro-tidal conditions, the long term hourly water level record available at Marseilles Endoume (1885-2003) has made possible statistical analysis usually computed on continental hydrological parameters. Frequential analysis tools, applied to time series near to the million data, are implemented in order to provide a calculation method for the stochastic meteorological storm surge component to characterize coastal inundation and erosion risk. Surge probability distributions tested with an associated confidence interval (GEV, Jenkinson, Gamma, ...) and extreme values of the data fitting (Maximum Annual and Peaks-Over-Threshold) are discussed with relative tests (stationarity, independence, homogeneity,...). Surge stochastic results are compared with sea-levels of morphological significance correlated to coastal impact observations during storm events. The statistic methods and tools presented contribute to a better knowledge of intensity, frequency and duration of extreme sea levels associated with morphogenic storms and provide guidelines for coastal risk mitigation.
机译:沿着地中海法国海岸的密集地区和沙滩密集地区和沙滩受到极端海平面的威胁。在微潮气条件下,马赛Endoume(1885-2003)的长期每小时水位记录已经在欧式水文参数上进行了通常计算的统计分析。实施频率分析工具,适用于近百万数据的时间序列,以便为随机气象风暴浪涌组件提供沿海淹没和侵蚀风险的计算方法。用相关置信区间(GEV,Jenkinson,Gamma,......)和数据配件的极端值(最高年度和峰值阈值)测试的浪涌概率分布是通过相对测试(实质性,独立性,同质性。 ..)。将随机结果与海洋水平与风暴事件中的沿海影响观测相关的形态意义相提并论。提出的统计方法和工具有助于更好地了解与形态发生风暴相关的极端海平面的强度,频率和持续时间,并为沿海风险减灾指导提供指导。

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