By Roberto Tonini1, Laura Sandri2, dmitri rouwet2

1. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Roma 1, Italy 2. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, Italy

Compute and visualize short- and long-term volcanic hazard associated to magmatic and non-magmatic unrest using a Bayesian Event Tree model

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Version 1.2 - published on 12 Jul 2016

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PyBetUnrest implements the version of the probabilistic model BET (Bayesian Event Tree), called BET_UNREST, specifically developed to include the forecasting of non-magmatic unrest and related hazards, by adding a dedicated "non-magmatic" branch to the event tree's structure. Probabilities are calculated at each node by merging prior models and past data with new incoming monitoring data, and the results can be updated any time new data have been collected. Monitoring data are weighted through pre-defined thresholds of anomaly, as in the previous only magmatic tool called BET_EF (BET for Eruption Forecasting, Marzocchi et al., 2008). PyBetUnrest is equipped with a Graphical User Interface aiming to create a user-friendly, open-access, and straightforward tool to support short-term volcanic forecasting.

A general user guide for all PyBet tools can be found at and more datails on the PyBetUnrest tool can be found in Tonini et al. (2016). PyBetUnrest has been developed in the frame of the FP7 VUELCO project.



Marzocchi W., Sandri L., Selva J. (2008) BET_EF: a probabilistic tool for long- and short-term eruption forecasting. Bull Volcanol., 70:623–632. doi:10.1007/s00445-007-0157-y

Tonini R., Sandri L., Rouwet D., Corentin C., Marzocchi W., Suparjan (2016) A new Bayesian Event Tree tool to track and quantify volcanic unrest and its application to Kawah Ijen volcano, Geochem. Geophys. Geosyst., 17, doi: 10.1002/2016GC006327.

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Researchers should cite this work as follows:

  • Roberto Tonini; Laura Sandri; dmitri rouwet (2016), "PyBetUnrest,"

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