Prediction of landslide hazard using LS-RAPID model: A case study in the Tia Dinh area (Dien Bien province, Vietnam)

Landslides represent a severe natural hazard, particularly in mountainous areas where steep slopes, intense rainfall, and unstable geological conditions frequently trigger destructive ground movements.This study focuses on assessing the potential landslides in Tia Dinh Commune, Dien Bien province, Vietnam, using the LS-RAPID model to simulate and predict potential hazards.By conducting extensive field surveys, geophysical measurements, and applying extreme-case scenario simulations, we identified three highrisk landslide zones (S1, S2, S3) alongside a larger area, zone S, which poses the most significant threat due to its potential for widespread and rapid material displacement.Despite challenges posed by limited geotechnical data in remote regions, the LS-RAPID model effectively predicted movement patterns, velocity, and impact zones of landslides, significantly improving our understanding of landslide dynamics.The results underscore the importance of integrating landslide risk assessments into local land-use planning to ensure safer community development.Additionally, we recommend the installation of groundwater monitoring devices at strategically identified locations within these high-risk zones to support early warning systems and enable timely preventive measures.Our findings highlight the need for a proactive approach to landslide risk management, combining prediction models with comprehensive monitoring strategies.This research provides a valuable framework for disaster preparedness, offering insights adaptable for regions facing similar landslide threats.