earticle

한국어

Amid the escalating climate crisis, forest disasters are occurring more frequently and with greater intensity, prompting a paradigm shift in forest disaster response at the national security level. In line with the growing emphasis on proactive disaster management, the Korea Forest Service is establishing a prevention-centered framework through the enactment of 'the Forest Disaster Prevention Act' and is advancing policies and research to build a comprehensive forest disaster safety network. Concurrently, the advancement of digital twin-based forest management—integrating high-precision 3D spatial data with artificial intelligence, big data analytics, and predictive modeling—has underscored the importance of data-driven, locationspecific approaches to problem-solving in forest disaster prevention. This study aims to enhance forest disaster preparedness by implementing a digital twin system based on 'Forest watershed numerical maps' that closely resemble real forest conditions. Through the application of 3D debris flow simulation, the research visually predicts the locations and paths of potential landslides, enabling the development of preemptive disaster response strategies. Furthermore, it proposes practical applications of digital twin technology for improving disaster safety management in forest areas and advancing forest disaster prevention in the era of climate change.