Different from the static graph-based methods, the dynamic methods are developed to model the spatial-temporal accident evolution process . Chen et al. developed a dynamic graph method to model the spatial-temporal evolution of domino accidents triggered by fires. The delayed failure mechanism of equipment under fire thermal radiation was considered, while the superposition method was adopted to cope with the multi-hazard coupling effects associated with multiple fires. In the follow-up study of Chen et al. , based on dynamic graph and Monte Carlo simulation, a multi-agent method was developed for modeling multi-hazard coupling scenarios (toxic releases, fires, and explosions) in CPI. They also pointed out that dynamic graph methods are able to model the dynamic evolution of accidents while static graph methods provide merely a snapshot of the whole process at once. Zeng et al. proposed a Dynamic Bayesian Network-based DRA method for fire-related domino effects. The time-dependent performance of safety barriers was involved in the spatial-temporal evolution of fire-related domino effects.