A multivariate probabilistic graphical model for real‐time volcano monitoring on Mount Etna

A novel multivariate probabilistic graphical model demonstrates significant potential for real-time volcano monitoring, offering rapid and accurate assessments of volcanic states. This approach addresses the challenges posed by nonlinear volcanic processes and measurement uncertainties, providing a robust tool for early warning systems. Tested on Mount Etna using extensive multivariate data, the model effectively estimates probability distributions of feasible volcanic states, enhancing decision-making capabilities for civil protection personnel.

Cannavò, F., Cannata, A., Cassisi, C., Di Grazia, G., Montalto, P., Prestifilippo, M., Privitera, E., Coltelli, M., & Gambino, S. (2017). A multivariate probabilistic graphical model for real‐time volcano monitoring on Mount Etna. Journal of Geophysical Research: Solid Earth, 122(5), 3480–3496. Portico. https://doi.org/10.1002/2016jb013512