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Assessment of the joint impact of extreme rainfall and storm surge on the risk of flooding in a coastal area

机译:评估极端降雨与风暴浪涌对沿海地区洪水洪水风险的评估

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In coastal areas, flood events can result from the interaction of several factors such as rainfall, river flow and the classical tidal asymmetry to mention but a few. Therefore, flood risk assessment in these areas involves not only the estimation of the extreme values of each variable, but also their probability of occurring simultaneously. This study investigates the combined effect and dependence between a "heavy" rainfall with a high tidal levels forcing on the occurrence and severity of floods in the urban neighborhood close to the estuary of the Bouregreg River (Morocco). The methodology used for this analysis is based on a bivariate copula model to evaluate the joint risk probability of flood events. The estimated joint probability is used to define the boundary conditions for a hydraulic model to quantify the water levels and the extent of floods caused by the combination of both extreme rainfall and storm surge. The considered variables reveal a not negligible correlation, and the copula approach seems to be suitable and enough flexible, for analyzing separately marginal distributions of the source variables and their structure of dependence. Results show that the joint probability of rainfall and tide both exceeding their critical thresholds remains low to moderate, and the biggest threat to this area might be caused by heavy rainfall. However, high tide adds an extra risk by reducing the capacity of the urban drainage in absorbing storm water; especially when rainfall intensity exceeds 100 years return period. Although rainfall and tide introduce a wide range of time scale meteorological forcing, this won't prevent storm surge and extreme rainfall events resulting from climate change, to take place in the future, on the same day leading to some of the most critical flooding scenarios in this area.
机译:在沿海地区,洪水事件可能是由于降雨,河流和古典潮汐不对称等几个因素的相互作用来提及但是几个因素。因此,这些区域的洪水风险评估不仅估计了每个变量的极值,而且还涉及它们同时发生的概率。本研究调查了“重”降雨与高潮汐水平的综合效应和依赖性,迫使城市社区洪水的发生和严重程度接近博伯雷克(摩洛哥)的河口。用于该分析的方法基于一体的共分组合模型来评估洪水事件的联合风险概率。估计的关节概率用于定义液压模型的边界条件,以量化水平和极端降雨和风暴浪涌组合引起的水平和洪水的程度。所考虑的变量揭示了一个不可忽略的相关性,并且Copula方法似乎是合适的且足够的灵活性,用于分析源变量的单独边缘分布及其依赖性结构。结果表明,超过其临界阈值的降雨和潮汐的联合概率仍然低至中等,对该领域的最大威胁可能是由于大雨降雨来引起的。然而,通过降低吸收雨水的城市排水能力,高潮增加了额外的风险;特别是当降雨强度超过100年的回报期时。虽然降雨和潮汐引入了广泛的时间尺度的气象迫使,但这不会阻止风暴浪涌和气候变化导致的极端降雨事件,在未来发生的同一天导致一些最关键的洪水情景在这个领域。

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