Combining two algorithms as a transition rules for CA-based inundation model

Emergency operations aim to reduce or mitigate the impacts of disasters. To support these priorities, sufficient lead time is an important consideration. Rapid inundation simulation for an early flood warning system considers as an effective with high-resolution of Digital Elevation Model (DEM). Flood model based on Cellular Automata (CA) is a model that does not solve the complex governing equations to generate inundation map. Many studies have proven its advantages of efficiency and accuracy in flood simulation. This paper develops a CA-based inundation model to meet the need of rapid flood response. Different from other CA-based models, this study introduced the combination of minimization algorithm and simplified weighting algorithm for flood routing. One case is performed to test the performance of the new CA-based inundation model. The case study is a benchmarking 2D hydraulic modelling packages case number 8A published by the Environment Agency Government of the United Kingdom. This case is used to analyze the surface flow in an urban area with rainfall and point source as the main inflow. The model's result was compared with TUFLOW. The results showed that the proposed model has good agreement in the inundation extend with the TUFLOW's result. However, the inundation depths are slightly underestimated and there is considerable room for improving the computation times.