This paper describes the experiments carried out on flood hydrodynamics in a river-network-floodplain set-up for validating numerical models. Fluvial floods in the set-up are generated due to overbank flow. The flood extent is extracted by processing overlapping images of the flooded set-up. The steady-state flow depths and velocities are measured by a point gauge and acoustic Doppler velocimeter (ADV), respectively. The surface velocities are estimated using large scale particle image velocimetry (LSPIV). The details of these measurements, flood hydrodynamics and datasets collected in the experiments are presented and analysed. Two numerical models of varying complexities are applied to reproduce the experimental events. The comparisons of numerical and experimental results on the different aspects of floods highlight the importance of the observed datasets. The complete flood datasets may be used to calibrate flow models, evaluate drying-wetting and model coupling algorithms. The datasets are freely available for academic purpose.

中文翻译：

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河网漫滩设置中洪水的实验和数值研究

本文描述了在河网漫滩设置中进行的洪水水动力学实验，以验证数值模型。设置中的河流洪水是由于溢流而产生的。通过处理淹没设置的重叠图像来提取洪水范围。稳态流动深度和速度分别由点规和声学多普勒测速仪 (ADV) 测量。使用大规模粒子图像测速法 (LSPIV) 估计表面速度。介绍和分析了这些测量的详细信息、洪水动力学和实验中收集的数据集。应用了两个不同复杂度的数值模型来重现实验事件。洪水不同方面的数值和实验结果的比较突出了观测数据集的重要性。完整的洪水数据集可用于校准流动模型、评估干湿和模型耦合算法。这些数据集可免费用于学术目的。