Seismic Hazard Zonation and Cluster Analysis
Project Overview
The project builds a seismic hotspot map and clusters fault-sensitive regions to inform planning and mitigation strategies.
Tech Stack
Team
Mentors
- Sahitya
- Shreyas
- Vinit
Mentees
No mentees listed for this project.
Problem Statement
Macro-scale seismic maps do not capture local risk variations in complex NW Himalayan tectonics.
Objectives
- - Refine zonation with data-driven clustering
- - Identify hotspot and fault-sensitive regions
- - Study depth/fault proximity relationships
Methodology
The project follows a structured implementation approach that includes Catalog cleaning and fault digitization in QGIS, Feature normalization and fault distance engineering, K-Means clustering with elbow method, and Gutenberg-Richter analysis by cluster. These steps are executed iteratively to validate assumptions, improve performance, and ensure reliable delivery of the final solution.
Expected Outcome
By the end of this project, the team is expected to deliver Refined seismic hazard map, Cluster-level sensitivity insights, and Code-aligned planning recommendations. Together, these outcomes reflect both technical feasibility and practical value for demos, evaluation, and future scaling.
Future Scope
- - Real-time seismic feed integration
- - Geodetic data coupling
- - Scaling to wider Himalayan regions