Geoelectrical and Seismic Refraction Data Analysis of a Landslide Surface

I focused on the geoelectrical and Seismic Refraction modeling of a landslide-prone area in Northern Tehran, combining both forward simulation and inversion techniques. The project involved:

  • Advanced Inversion Techniques: I gained hands-on experience with ResXDINV, ResXMOD, ResIPy, and ZondST2D for data modeling and interpretation.

  • Mesh Optimization: I demonstrated proficiency in designing and implementing adaptive mesh frameworks, allowing higher resolution in regions of interest without excessive computational cost.

  • Field and Synthetic Data Integration: I successfully integrated field survey data with synthetic models for cross-validation and structural interpretation.

  • Software and GIS Tools: I utilized ArcGIS, Leapfrog Geo, Datamine, and Paraview for data visualization and spatial modeling.

  • Geotechnical Insight: I interpreted subsurface features including depth to bedrock, fault zones, and water-saturated layers, essential for landslide risk assessment.

(Left) 3D geological model of the study area; (Right) 3D view of 2D inverted electrical resistivity profiles.

Study area showing the survey profiles (Top), and the locations of current injection electrodes (Bottom).