Preprints
https://doi.org/10.5194/egusphere-2026-1602
https://doi.org/10.5194/egusphere-2026-1602
20 Apr 2026
 | 20 Apr 2026
Status: this preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).

Probabilistic tsunami hazard assessment at Stromboli volcano: 2. New simulation database and probabilistic inundation maps and curves

Mattia de' Michieli Vitturi, Alessandro Tadini, Andrea Bevilacqua, Juan F. Rodríguez-Gálvez, Matteo Cerminara, Tomaso Esposti Ongaro, Augusto Neri, Matteo Trolese, Jorge Macías, Manuel J. Castro, Cipriano Escalante, Sergio Ortega, José M. González-Vida, and Stefano Lorito

Abstract. Probabilistic Tsunami Hazard Assessment (PTHA) is the essential first step for quantifying the long-term risk posed by landslide-generated tsunamis at active volcanic islands like Stromboli, Italy. This study presents a first PTHA for Stromboli, providing a quantitative and transparent basis for risk mitigation and long-term coastal planning at Stromboli. In particular, our work integrates two new databases of numerical simulations for volcanic landslide-induced tsunamis with occurrence probabilities derived from expert elicitation (described in the companion paper by Tadini et al., submitted). We introduce a new methodology to translate elicited probabilities for landslide frequency, volume, and location into a full suite of probabilistic hazard products. The results, expressed as hazard curves, maps and profiles (5th, 50th and 95th percentiles), are presented for alternative modelling setups, including different high-resolution topobathymetric models and code versions, to transparently account for epistemic uncertainty in the numerical hazard assessment. Our findings quantify a significant tsunami hazard for Stromboli's inhabited coastal areas over the next 50 years. The 95th percentile maps indicate that inundation by at least 0.5 m of water has >90 % to occur along coast of Stromboli village the over the next 50 years. Furthermore, the hazard curves at critical sites show non-negligible probabilities of exceeding severe inundation depths in the same 50 years temporal frame.

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Mattia de' Michieli Vitturi, Alessandro Tadini, Andrea Bevilacqua, Juan F. Rodríguez-Gálvez, Matteo Cerminara, Tomaso Esposti Ongaro, Augusto Neri, Matteo Trolese, Jorge Macías, Manuel J. Castro, Cipriano Escalante, Sergio Ortega, José M. González-Vida, and Stefano Lorito

Status: open (until 01 Jun 2026)

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Mattia de' Michieli Vitturi, Alessandro Tadini, Andrea Bevilacqua, Juan F. Rodríguez-Gálvez, Matteo Cerminara, Tomaso Esposti Ongaro, Augusto Neri, Matteo Trolese, Jorge Macías, Manuel J. Castro, Cipriano Escalante, Sergio Ortega, José M. González-Vida, and Stefano Lorito

Data sets

Simulated scenarios of volcanic mass movements and associated tsunamis at Stromboli (Aeolian archipelago, Tyrrhenian sea, Italy) - version 2, simulations with 20-m resolution topo-bathymetry M. de’ Michieli Vitturi et al. https://www.pi.ingv.it/banche-dati/scenarios-of-volcanic-mass-movements-associated-tsunamis-at-stromboli-20-m-topo-bathymetry/

Simulated scenarios of volcanic mass movements and associated tsunamis at Stromboli (Aeolian archipelago, Tyrrhenian sea, Italy) - version 2, simulations with 10-m resolution topo-bathymetry M. de’ Michieli Vitturi et al. https://www.pi.ingv.it/banche-dati/scenarios-of-volcanic-mass-movements-and-associated-tsunamis-at-stromboli-10-m-topo-bathymetry/

Mattia de' Michieli Vitturi, Alessandro Tadini, Andrea Bevilacqua, Juan F. Rodríguez-Gálvez, Matteo Cerminara, Tomaso Esposti Ongaro, Augusto Neri, Matteo Trolese, Jorge Macías, Manuel J. Castro, Cipriano Escalante, Sergio Ortega, José M. González-Vida, and Stefano Lorito
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Latest update: 20 Apr 2026
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Short summary
This study presents a Probabilistic Tsunami Hazard Assessment for Stromboli, Italy, quantifying long-term risks from landslide-generated tsunamis. By combining new simulation databases with expert-derived probabilities, it introduces a method to model hazard uncertainty. Results show significant risk to coastal areas over 50 years, with high probabilities of inundation exceeding 0.5 m and notable chances of severe impacts at key locations.
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