Construction of the geological hazard risk mitigation and management system powered by Large Language Models (LLMs)

This paper is the result of geological hazard survey engineering.

Objective  Against the backdrop of global climate change and intensifying human activities, geological hazards are increasingly characterized by sudden onset, high frequency, and growing complexity, posing new challenges to existing systems for geological hazards risk mitigation and management. It is therefore imperative to explore intelligent pathways for geological hazards risk mitigation and management in the new era.

Methods  This study systematically reviews domestic and international research progress in geological hazards risk mitigation and management in recent years. Focusing on the major bottlenecks in risk identification, assessment, and control within China’s traditional prevention and control system, it further examines the evolution of technology-enabled approaches in this field. On this basis, an intelligent framework for geological hazards risk mitigation and management supported by Large Language Models (LLMs) is proposed.

Results  A LLMs–based system for geological hazards risk mitigation and management is designed to cover the full process of “intelligent identification–dynamic assessment–collaborative management”, thereby promoting the transformation of geological hazards risk mitigation and management toward a more intelligent and systematic mode.

Conclusions  The deep integration of LLMs into geological hazard prevention and mitigation scenarios is expected to provide an intelligent and systematic solution for advancing the modernization of geological hazard prevention and mitigation.