Recurrence rate is often used to describe volcanic activity. There are numerous documented ex- amples of non-constant recurrence rate (e.g. Dohrenwend et al., 1984; Condit and Connor, 1996; Cronin et al., 2001; Bebbington and Cronin, 2011; Bevilacqua, 2015), but current techniques for calculating recurrence rate are unable to fully account for temporal changes in recurrence rate. A local–window recurrence rate model, which allows for non-constant recurrence rate, is used to calculate recurrence rate from an age model consisting of estimated ages of volcanic eruption from a Monte Carlo simulation. The Monte Carlo age assignment algorithm utilizes paleomagnetic and stratigraphic information to mask invalid ages from the radiometric date, represented as a Gaussian probability density function. To verify the age assignment algorithm, data from Heizler et al. (1999) for Lathrop Wells is modeled and compared. Synthetic data were compared with expected results and published data were used for cross comparison and verification of recurrence rate and volume flux calculations. The latest recurrence rate fully constrained by the data is reported, based upon data provided in the referenced paper: Cima Volcanic Field, 33 +55/-14 Events per Ma (Dohren- wend et al., 1984), Cerro Negro Volcano, 0.29 Events per Year (Hill et al., 1998), Southern Nevada Volcanic Field, 4.45 +1.84/-0.87 (Connor and Hill, 1995) and Arsia Mons, Mars, 0.09 +0.14/-0.06 Events per Ma (Richardson et al., 2015). The local–window approach is useful for 1) identifying trends in recurrence rate and 2) providing the User the ability to choose the best median recurrence rate and 90% confidence interval with respect to temporal clustering.

La prévention du risque volcanique est un enjeu majeur, notamment pour l'Etna, dont les éruptions fréquentes menacent la province de Catane. Sont exposés les éléments physiques nécessaires à la compréhension des mécanismes intervenant dans un écoulement de lave basaltique. Un système d'information intégrant les principaux aspects du risque volcanique et permettant la création de cartes de risques est alors proposé. Ce système comprend un modèle, basé sur les automates cellulaires et intégrant le traitement d’images satellitaires. Il permet de simuler l'évolution d'une coulée ainsi que son débit. Ce système est alors intégré dans un Système d'Information Géographique. Il est validé sur les éruptions 2001, 2006 et 2007. Enfin, nous développons, pour l’enrichir, un modèle numérique pour le refroidissement d'une coulée de lave à l'aide des Smoothed Particle Hydrodynamics. Ce modèle, validé sur différents cas test, est appliqué au refroidissement d'un lac et d’une coulée de lave. Keywords : risque volcanique, automates cellulaires, système de veille, information élaborée, système d'information géographique, Smoothed Particle Hydrodynamics / Preventing volcanic risk is a major challenge, in particular when dealing with Mt Etna whose frequent eruptions regularly threaten Catane province. First, the physical elements necessary to understand the mechanism intervening in basaltic lava flow are exposed. Then, we develop an information system which deals with the main aspects of volcanic risk : lava flow evolution foresight and risk map design. This system is integrated in a geographical information system and is composed of both a model based on cellular automata permitting to simulate the evolution of a lava flow, and an infrared satellite image treatment module permitting to evaluate the lava flux rate. All the models and procedures developed were validated with the 2001, 2006 and 2007 eruptions. Lastly, to enhance the information system, we develop a digital model for lava flow cooling by means of Smoothed Particles Hydrodynamics. This model is validated by different case tests before being applied to the cooling of a lava lake