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Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling

机译：洪水损失估计对微尺度洪水建模建立表示和流动深度归因方法的敏感性

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摘要

Thanks to modelling advances and the increase in computational resources in recent years, it is now feasible to perform 2-D urban flood simulations at very high spatial resolutions and to conduct flood risk assessments at the scale of single buildings. In this study, we explore the sensitivity of flood loss estimates obtained in such micro-scale analyses to the spatial representation of the buildings in the 2D flood inundation model and to the hazard attribution methods in the flood loss model. The results show that building representation has a limited effect on the exposure values (i.e. the number of elements at risk), but can have a significant impact on the hazard values attributed to the buildings. On the other hand, the two methods for hazard attribution tested in this work result in remarkably different flood loss estimates. The sensitivity of the predicted flood losses to the attribution method is comparable to the one associated with the vulnerability curve. The findings highlight the need for incorporating these sources of uncertainty into micro-scale flood risk prediction methodologies.
机译：由于近年来建模进展和计算资源的增加，现在可以在非常高的空间分辨率下执行2-D城市洪水模拟，并以单一建筑物的规模进行洪水风险评估。在这项研究中，我们探讨了在洪水淹没模型中建筑物的空间表示和洪水损失模型中的危险归因方法所获得的洪水损失估计的敏感性。结果表明，建筑物表示对曝光值有有限的影响（即风险的元素数量），但可能对归因于建筑物的危险值可能产生重大影响。另一方面，在这项工作中测试的两种危险署的方法导致了显着的洪水损失估算。预测的洪水损失对归因方法的敏感性与与漏洞曲线相关联的敏感性相当。调查结果突出了将这些不确定性融为微级洪水风险预测方法的需要。

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