Overview
- UNAM geophysicists used an AI-trained seismic classifier with interferometry to build a 3D tomography that images two near-surface magma reservoirs.
- The analysis draws on CENAPRED data from 2019–2024, with earlier records added, and is published in the Journal of Volcanology and Geothermal Research.
- A deeper third chamber proposed by prior studies was not resolved, reflecting the current method’s limited sensitivity at greater depths.
- The team plans to integrate the AI model into continuous, automated detection to bolster 24/7 operational monitoring by CENAPRED.
- Researchers will study seismic-wave attenuation to test whether hotter interior zones align with the tomographic anomalies identified by the AI-enabled approach.