BET_EF: a probabilistic tool for long- and short-term eruption forecasting.

Abstract  The main purpose of this paper is to introduce a Bayesian event tree model for eruption forecasting (BET_EF). The model represents a flexible tool to provide probabilities of any specific event which we are interested in, by merging all the relevant available information such as theoretical models, a priori beliefs, monitoring measures, and any kind of past data. BET_EF is based on a Bayesian procedure and it relies on the fuzzy approach to manage monitoring data. The method deals with short- and long-term forecasting; therefore, it can be useful in many practical aspects such as land use planning and volcanic emergencies. Finally, we provide the description of a free software package that provides a graphically supported computation of short- to long-term eruption forecasting, and a tutorial application for the recent MESIMEX exercise at Vesuvius. [ABSTRACT FROM AUTHOR]