洪水灾害估算中流速的结合:ahr河谷2021研究,德国

E. Pažourková, Martin Salaj, Ricardo E. WONG MONTOYA
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引用次数: 0

摘要

在开发巨灾模型脆弱性分量时,一种常见的做法是使用淹没深度作为危害度量。然而,与被淹没的水有关的其他数量也可能对广泛公布的估计洪水损失产生重大影响。本研究的关键是评估水深、流速及其组合在巨灾模型所做的损失估计中的相关性。损失计算过程中的流速是否对巨灾损失建模过程有一定的好处?2021年7月,德国西部地区遭受严重洪灾。在哥白尼EMS卫星损伤评估框架下,对被淹建筑物的物理状况进行了评估。两个受影响严重的地区,Schuld镇和Altenahr镇,被选中进行进一步的重新模拟,旨在测试深度和速度的影响。第一步,利用二维水力模拟计算每个建筑物的水平流速和洪水深度。随后,重点分析了结构损伤模型的预测能力和变异性。选择基于力的阈值作为新脆弱性分量的特征来校准总损失概率。因此,在突变模型中最终实现了以水深和流速组合参数表示的灾害强度度量。当将提出的解决方案与传统的基于深度的方法进行比较时,可以看到模拟的货币损失略有增加,并且与研究区域确定的观察到的损害具有明显更好的相关性。因此,速度的嵌入效应可以提高巨灾洪水模型的准确性和灵敏度,特别是在高坡地区和极端和短暂降雨强度的事件中,建筑物破坏水平突然增加,如对Ahr流域洪水的评估。
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INCORPORATION OF FLOW VELOCITY IN FLOOD DAMAGE ESTIMATION: AHR RIVER VALLEY 2021 STUDY, GERMANY
A common practice when catastrophe model vulnerability component is being developed is the use of inundation depth as a hazard metric. However, other quantities associated with inundated waters could also yield a significant effect on estimated flood loss being widely published. The key aspect of the study is to assess the relevance of the water depth, flow velocity, and their combinations in the damage estimates done by catastrophe models. Could the flow velocity in the loss calculation process provide some benefits to the catastrophe loss modelling process? In July 2021 the western part of Germany was affected by serious flooding. The physical conditions of the inundated buildings were evaluated in the frame of the Copernicus EMS satellite-based damage assessment. The two heavily impacted areas, the towns of Schuld and Altenahr, were selected for further re-simulation aiming to test the effect of depth and velocity. In the first step, horizontal velocity and flood depth were calculated for each building using a 2D hydraulic simulation. Subsequently, structural damage models were analysed with focus on their predictive skills and variability. A force-based threshold was selected to calibrate the total loss probability, as a feature of the new vulnerability component. As a result, a hazard intensity metric expressed as combined parameter of water depth and flow velocity is finally implemented in the catastrophe model. When comparing the proposed solution with traditional depth-based approach, one can see a slight increment in the modelled monetary damage and a significantly better correlation with the observed damage identified in the study area. The embedded effect of velocity could therefore improve the accuracy and sensitivity of catastrophe flood models, particularly in high-slope areas and in events with extreme and short rainfall intensities to sudden increments in the building damage level, as assessed for the flood in the Ahr valley.
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