Impact of the landslide for a Relationship between Rainfall Condition and Land Cover in North Vietnam

Abstract

This paper aims to evaluate the probability of landslide hazards using a physical model (TRIGRS: Transient Rainfall Infiltration and Grid-Based Region Slope-Stability) for a regional scale considering the variations of a triggering rainfall condition and land-cover under the climate change. There are certain uncertainties raising from the soil properties and soil depth determination, assumption of groundwater, as well as the same root cohesion for all tree cover in the forest-related region. However, the application of TRIGRS model in a regional scale would provide important references for the distribution of landslide prone area regarding scenarios about changes of weather condition and land cover situation. It thus would support local authorities in obtaining more adequate land planning strategies in a river basin to mitigate potential hazard from the slope failure issue.

Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting

“…Land use has an influence on the infiltration of precipitation and the evapotranspiration loss of water, and therefore, is of influence to the hydrological cycle. Furthermore, artificial slopes are an alteration of the natural balance and are more susceptible to landslides [75]. Therefore, a combination of vegetation and topographic maps is required to assess the influence on the hydrological cycle.…”