Back close

GIS-Based 3-D Slope Stability Modelling for Analysis of Rainfall Induced Landslides

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Sabari Ramesh
GIS-Based 3-D Slope Stability Modelling for Analysis of Rainfall Induced Landslides

Digital Elevation Models (DEM) of the study area are acquired and analyzed using ArcGIS PRO thereby deriving the slope angle, flow direction, soil depth, aspect, geomorphology and so on. Soil properties are obtained using laboratory and field tests. Giving this DEM as input, a 3D slope stability analysis is carried out using the TRIGRS model. The model is modified to incorporate both saturated and unsaturated soil conditions. Also, the data available from the existing landslide monitoring systems deployed at the sites are incorporated into the model. The Factor of safety of slopes at different periods from the start of rainfall event will be mapped. Thus, this model can be used to forecast the spatiotemporal distribution of rainfall induced landslides thereby contributing towards the development of a more efficient landslide early warning system.

Name of the Indian Collaborators

  • Prof. Maneesha V Ramesh, AWNA
  • Dr. Rakesh J pillai, Associate Professor, IIT Palakkad
  • Dr. Remya SN, Assistant Professor , ASF Ms Anjana Vishwanath, Research Scholar, AWNA

Related Projects

Investigation on Effect of Space Radiations on Space Durable Polymeric Nano Composite for Future Generation Space Missions
Investigation on Effect of Space Radiations on Space Durable Polymeric Nano Composite for Future Generation Space Missions
Traditional Irrigation Systems on Agricultural Outcome
Traditional Irrigation Systems on Agricultural Outcome
Multi-Layer Intelligence for Disaster Information Dissemination for Maritime Network
Multi-Layer Intelligence for Disaster Information Dissemination for Maritime Network
Small Molecular Reactive Fluorescent Probes for Detection of Cellular Unusual Entities and Bio-imaging
Small Molecular Reactive Fluorescent Probes for Detection of Cellular Unusual Entities and Bio-imaging
Detailed computational modelling and optimization of natural draught cook stoves
Detailed computational modelling and optimization of natural draught cook stoves
Admissions Apply Now