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PyBetUnrest
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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Abstract
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.
PyBetUnrest has been developed in the frame of the FP7 VUELCO project.
References
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
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