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Coastal flood: a composite method for past events characterisation providing insights in past, present and future hazards-joining historical, statistical and modelling approaches

机译:沿海洪水:过去事件表征的复合方法,提供过去,现在和未来危险加入历史,统计和建模方法的见解

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摘要

The characterisation of past coastal flood events is crucial for risk prevention. However, it is limited by the partial nature of historical information on flood events and the lack or limited quality of past hydro-meteorological data. In addition, coastal flood processes are complex, driven by many hydro-meteorological processes, making mechanisms and probability analysis challenging. Here, we tackle these issues by joining historical, statistical and modelling approaches. We focus on a macrotidal site (Gavres, France) subject to overtopping and investigate the 1900-2010 period. We build a continuous hydro-meteorological database and a damage event database using archives, newspapers, maps and aerial photographs. Using together these historical information, hindcasts and hydrodynamic models, we identify nine flood events, among which five are significant flood events (four with high confidence: 1924, 1978, 2001, 2008; one with a lower confidence: 1904). These flood events are driven by the combination of sea-level rise, tide, atmospheric surge, offshore wave conditions and local wind. We further analyse the critical conditions leading to flood, including the effect of coastal defences, showing, for instance, that the present coastal defences would not have allowed to face the hydro-meteorological conditions of 09/02/1924, whose bi-variate return periods of exceedance T-R (still water level relative to the mean sea level and significant wave height) are larger than 1000 year. In the coming decades, T-R is expected to significantly decrease with sea-level rise, reaching values smaller than 1 year, for eight of the nine historical events, for a sea-level rise of 0.63 m, which is equal to the median sea-level rise projected by the 5th Assessment Report of the IPCC in this region for RCP8.5 in 2100.
机译:过去的沿海洪水事件的特征对于风险预防至关重要。然而,它受到洪水事件历史信息的部分性质和过去水流 - 气象数据的缺乏或有限的缺陷或有限的限制。此外,沿海洪水过程很复杂,由许多水流气象过程驱动,制定机制和概率分析具有挑战性。在这里,我们通过加入历史,统计和建模方法来解决这些问题。我们专注于宏观网站(Gavres,法国),受到泛价,调查1900-2010期。我们使用档案,报纸,地图和空中照片构建连续水力气象数据库和损坏事件数据库。使用这些历史信息,HindCasts和流体动力学模型,我们确定了九次洪水事件,其中五个是重要的洪水事件(四个具有高度信心:1924,1978,2001,2008;一个具有较低置信度:1904)。这些洪水事件是由海平面上升,潮汐,大气浪涌,海上波条条件和当地风的组合而导致的。我们进一步分析了导致洪水的关键条件,包括沿海防御的效果,例如,表现出目前的沿海防御者不允许面对09/02/1924的水力气象状况,其双变量返回超出TR(相对于平均海平和显着波高)的静止TR(静止水位)大于1000年。在未来几十年中,预计海平面上涨将大幅下降,达到1年的价值,为九个历史事件中的八个,为0.63米的海平面上升,这与中位数相等由IPCC第5次评估报告预计的IPCC在该地区的第5次评估报告,于2100年。

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