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).