Simulation Performance Evaluation and Uncertainty Analysis on a Coupled Inundation Model Combining SWMM and WCA2D

Abstract Urban floods are becoming increasingly more frequent, which has led to tremendous economic losses. The application of inundation modeling predict and simulate urban flooding is an effective approach for disaster prevention risk reduction, while also addressing the uncertainty problem in model always a challenging task. In this study, cellular automaton (CA)-based combining storm water management (SWMM) weighted automata 2D was applied physical-based (LISFLOOD-FP) coupled with SWMM comparison. simulation performance factors were systematically discussed. results show that CA-based can achieve sufficient accuracy higher computational efficiency than model. resolution terrain rainstorm data had strong influence on model, simulations would be less creditable when using input lower 15 m recorded interval rainfall greater 30 min. roughness value type showed limited impacts change depth occurrence peak area. Generally, demonstrated laudable applicability recommended fast flood episodes. This study provide references implications reducing constructing