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Technical note: Laboratory modelling of urban flooding: strengths and challenges of distorted scale models

机译:技术说明:城市洪水的实验室建模:扭曲规模模型的优势和挑战

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Laboratory experiments are a viable approach for improving process understanding and generating data for the validation of computational models. However, laboratory-scale models of urban flooding in street networks are often distorted, i.e. different scale factors are used in the horizontal and vertical directions. This may result in artefacts when transposing the laboratory observations to the prototype scale (e.g. alteration of secondary currents or of the relative importance of frictional resistance). The magnitude of such artefacts was not studied in the past for the specific case of urban flooding. Here, we present a preliminary assessment of these artefacts based on the reanalysis of two recent experimental datasets related to flooding of a group of buildings and of an entire urban district, respectively. The results reveal that, in the tested configurations, the influence of model distortion on the upscaled values of water depths and discharges are both of the order of 10 %. This research contributes to the advancement of our knowledge of small-scale physical processes involved in urban flooding, which are either explicitly modelled or parametrized in urban hydrology models.
机译:实验室实验是一种可行的方法,用于改善过程理解和生成计算模型验证的数据。然而,街道网络中城市洪水的实验室规模模型往往是扭曲的,即,不同的尺度因素用于水平和垂直方向。当将实验室观察转发到原型量表时,这可能导致人工制品(例如,摩擦阻力的相对重要性的改变)。过去没有研究这种人工制品的大小,以便在城市洪水的具体情况下进行。在这里,我们根据与洪水洪水和整个城市区的洪水洪水有关的两种实验数据集的再分析,提出了对这些人工制品的初步评估。结果表明,在测试的配置中,模型失真对水深和放电值上的升高值的影响均为10%的顺序。这项研究有助于我们对城市洪水中涉及的小规模物理流程的了解,这在城市水文模型中明确建模或参数化。

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