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Validation of 2D flood models with insurance claims

机译:保险索赔的2D洪水模型验证

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摘要

Flood impact modelling requires reliable models for the simulation of flood processes. In recent years, flood inundation models have been remarkably improved and widely used for flood hazard simulation, flood exposure and loss analyses. In this study, we validate a 2D inundation model for the purpose of flood exposure analysis at the river reach scale. We validate the BASEMENT simulation model with insurance claims using conventional validation metrics. The flood model is established on the basis of available topographic data in a high spatial resolution for four test cases. The validation metrics were calculated with two different datasets; a dataset of event documentations reporting flooded areas and a dataset of insurance claims. The model fit relating to insurance claims is in three out of four test cases slightly lower than the model fit computed on the basis of the observed inundation areas. This comparison between two independent validation data sets suggests that validation metrics using insurance claims can be compared to conventional validation data, such as the flooded area. However, a validation on the basis of insurance claims might be more conservative in cases where model errors are more pronounced in areas with a high density of values at risk. (C) 2017 Elsevier B.V. All rights reserved.
机译:洪水影响建模需要可靠的模型来模拟洪水过程。近年来,洪水淹没模型显着改善,广泛用于洪水危害模拟,洪水暴露和损失分析。在这项研究中,我们验证了河流达到尺度洪水暴露分析目的的2D淹没模型。我们使用传统验证度量验证了使用保险索赔的地下室仿真模型。在高空间分辨率的可用地形数据的基础上建立洪水模型,用于四个测试用例。用两个不同的数据集计算验证度量;报告被淹没区域和保险索赔数据集的事件文档数据集。与保险索赔有关的模型配合是三种测试用例中的三个,略低于在观察到的淹没区域计算的模型配合。两个独立验证数据集之间的这种比较表明,可以将使用保险权利要求的验证度量与传统验证数据(例如泛洪区域)进行比较。但是,在模型错误在具有风险高密度的地区更明显的情况下,在保险索赔的基础上的验证可能更为保守。 (c)2017年Elsevier B.V.保留所有权利。

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