This disaster management research roadmap for the ASEAN region was created in the hopes that it will guide the process of achieving the goal of becoming a global leader on disaster risk management (DRM) and disaster risk reduction (DRR) by 2025.
Many cities are already demonstrating their commitments to a more sustainable future and there are many excellent examples of green urban development, according to a new FAO publication called "Forests and sustainable cities - Inspiring stories from around the world" launched on the occasion of the International Day of Forests.
Landslide displacement prediction is one of the focuses of landslide research. In this paper, time series analysis was used to decompose the cumulative displacement of landslide into a trend component and a periodic component. Then LSSVM model and GA were used to predict landslide displacement. The results show that the GA-LSSVM model can be effectively used to predict landslide displacement and reflect the corresponding relationships between the major influencing factors and the displacement.