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Uncertainty and sensitivity of flood risk calculations for a dike ring in the south of the Netherlands

机译:荷兰南部堤防环的洪水风险计算的不确定性和敏感性

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摘要

A central tool in risk management is the exceedance-probability loss (EPL) curve, which denotes the probabilities of damages being exceeded or equalled. These curves are used for a number of purposes, including the calculation of the expected annual damage (EAD), a common indicator for risk. The model calculations that are used to create such a curve contain uncertainties that accumulate in the end result As a result, EPL curves and EAD calculations are also surrounded by uncertainties. Knowledge of the magnitude and source of these uncertainties helps to improve assessments and leads to better informed decisions. This study, therefore, performs uncertainty and sensitivity analyses for a dike-ring area in the Netherlands, on the south bank of the river Meuse. In this study, a Monte Carlo framework is used that combines hydraulic boundary conditions, a breach growth model, an inundation model, and a damage model. It encompasses the modelling of thirteen potential breach locations and uncertainties related to probability, duration of the flood wave, height of the flood wave, erodibility of the embankment damage curves, and the value of assets at risk. The assessment includes uncertainty and sensitivity of risk estimates for each individual location, as well as the dike-ring area as a whole. The results show that for the dike ring in question, EAD estimates exhibit a 90% percentile range from about 8 times lower than the median, up to 4.5 times higher than the median. This level of uncertainty can mainly be attributed to uncertainty in depth-damage curves, uncertainty in the probability of a flood event and the duration of the flood wave. There are considerable differences between breach locations, both in the magnitude of the uncertainty, and in its source. This indicates that local characteristics have a considerable impact on uncertainty and sensitivity of flood damage and risk calculations.
机译:风险管理中的中心工具是超标概率损失(EPL)曲线,它表示损害的概率被超过或相等。这些曲线有多种用途,包括计算预期的年度损失(EAD),这是一种常见的风险指标。用于创建此类曲线的模型计算包含不确定性,这些不确定性会在最终结果中累积。结果,EPL曲线和EAD计算也被不确定性所包围。了解这些不确定性的大小和来源有助于改进评估并促成更明智的决策。因此,这项研究对默兹河南岸荷兰堤防圈地区进行了不确定性和敏感性分析。在这项研究中,使用了蒙特卡洛框架,该框架结合了水力边界条件,破坏增长模型,淹没模型和破坏模型。它涵盖了与潜在概率,洪水波的持续时间,洪水波的高度,路堤破坏曲线的易蚀性以及风险资产的价值相关的十三种潜在违规位置和不确定性的建模。评估包括每个位置以及整个堤防区域的风险估计的不确定性和敏感性。结果表明,对于所讨论的堤环,EAD估计值显示90%的百分位数范围,从中位数降低约8倍,到最高中位数升高4.5倍。这种不确定性水平主要归因于深度-破坏曲线的不确定性,洪水事件的概率不确定性和洪水波的持续时间。无论在不确定性的大小上还是在其来源上,违规位置之间都存在相当大的差异。这表明局部特征对洪水破坏和风险计算的不确定性和敏感性有相当大的影响。

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