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UNAM Reveals First AI-Powered 3D Model of Popocatépetl’s Interior

Reducing seismic data processing to hours, the breakthrough also paves the way for dynamic 4D imaging to guide volcano risk management.

Overview

  • The 3D model maps interconnected magma chambers and ascent conduits deep beneath Popocatépetl.
  • Researchers have operated 18 seismic stations since 2019 at altitudes above 4,200 meters, capturing hundreds of measurements per second.
  • An AI system developed by Karina Bernal reduces a year’s worth of seismic data analysis to three hours.
  • The study published in Science Direct under Marco Calò’s leadership provides civil protection agencies with detailed data for setting alert levels and planning evacuations.
  • The project is advancing toward continuous, four-dimensional monitoring to enable real-time forecasting of volcanic activity.