Flood models are primarily valuable to governments, civil engineers, aid organizations, insurance companies, research groups, and specific individuals. There are existing discrete event models and time step models for flooding that these groups use to generate static and dynamic flood inundation maps. When simulating the models to generate these maps, the scalability, accuracy, and performance are just some of parameters analyzed for how good the simulation is. Here, we are focusing on the scalability of specific flood prediction systems. A simple flood inundation model titled DEVS-Flood is proposed in this work. DEVS-Flood is described using the discrete event system specification formalism. Random terrain and synthesized river terrain were simulated to validate the model. The experiemental results show that the proposed DEVS-Flood approach has the potential for scalable, effective and efficient simulation.
Dong‐Hun KangJoohoe KongByoung K. Choi
Young Shin HanBo Seung KwonChoon Sung NamJong Sik Lee