This paper describes a simplified flood model based on cellular automata in order to be implemented in applications, which require the simulation of a great number of flood scenarios at regional scale. The model is based on a top-down evaluation of the flow process through the cells of the DEM. According to the conditions in a Moore Neighbourhood, the cells are classified in a dynamic process in four possible states with its own rules. To verify the quality of the results, an evaluation is carried out using the benchmarking tests and results shown in Neelz and Pender (2013). Besides, the 2D models HEC-RAS and Iber were used to evaluate quantitatively the efficiency of the model in terms of water depth and flood extent. From this, it is observed that the model produces very acceptable results especially where dynamic effects are less significant.

本文描述了一种基于元胞自动机的简化洪水模型，以便在需要模拟大量区域尺度洪水情景的应用中实现。该模型基于对通过 DEM 单元的流动过程的自上而下评估。根据摩尔邻域的条件，细胞在动态过程中被分为四种可能的状态，并有自己的规则。为了验证结果的质量，使用 Neelz 和 Pender (2013) 中显示的基准测试和结果进行评估。此外，二维模型 HEC-RAS 和 Iber 用于定量评估模型在水深和洪水范围方面的效率。由此可以看出，该模型产生了非常可接受的结果，尤其是在动态影响不太显着的情况下。