China’s southwestern region is characterized by complex topography and high rainfall, where rainstorms often trigger floods and cascading geological hazards—including collapses, landslides, and debris flows—forming compound disaster chains. These sequential and mutually amplifying events pose significant challenges to rescue operations. To improve the safety, accuracy, and efficiency of emergency response, it is critical to develop and dynamically adapt on-site disposal plans according to real-time disaster conditions and mission requirements. This study proposes a structured framework for generating such plans in the context of rainstorm-induced collapse-landslide-debris flow chains. Four core elements are identified: disaster scenario, emergency tasks, roles, and emergency resources. Text mining on 34 emergency plans and rescue reports covering rainstorms, collapses, landslides, debris flows, and flash floods using ROST CM are performed. Results indicate that emergency measures prioritize life safety and rapid evacuation, integrating both immediate on-site actions and personnel protection strategies. These findings inform the refinement of task definitions within disposal plans. Additionally, a rule-based system architecture leveraging the Drools engine was designed to enable automated plan generation. The underlying inference rules and automated work-flow support rapid plan formulation. In summary, this integrated framework combines structured checklists, hazard-chain analysis, and intelligent decision-support to enable linked checklists, structured task generation, and systematic response coordination. It offers precise and scientific guidance for effective rescue operations in complex geological hazard settings.
Wang et al. (Sun,) studied this question.