Integrating Population Data into Seismic Hazard Mapping: A Case Study of Coimbatore City, India
摘要
Coimbatore City, India, is a rapidly growing city with higher population density and urban sprawl. Coimbatore has a forgotten earthquake history and lies in the peninsular shield region, just like Bhuj before its 2001 earthquake, and requires targeted preparedness. This study proposes a simplified approach to assess risk, integrating population density and ground-shaking intensity. A population density map based on ward-level population data from the 2011 CENSUS and a peak ground acceleration (PGA) hazard map generated using deterministic seismic hazard analysis (DSHA) form the foundation. DSHA incorporates historical earthquakes, ground motion prediction equations, and geological information to estimate bedrock-level PGA for various earthquake scenarios. This weighted population information is then seamlessly integrated with the PGA hazard map to create a micro zonation risk map using the analytical hierarchy process (AHP) GIS tool. The risk map reveals varying risk levels across Coimbatore’s 72 wards. Highlighting densely populated zones overlaid with high PGA values, the map empowers informed decision-making for targeted mitigation efforts, enhanced relief center placement, and strengthened medical preparedness in high-risk areas. The study also highlights the present placement of the disaster relief centers and suggests zones where new disaster relief centers are to be placed. This data-driven approach allows policymakers to safeguard vulnerable communities in Coimbatore effectively from the potential impacts of earthquakes.