Modeling of the 1783 Tsunami Event in Scilla Generated by Landslide

Francesca Minniti, Giuseppe Barbaro and Giandomenico Foti
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Francesca Minniti: DICEAM Department, Mediterranea University of Reggio Calabria, Via Graziella loc. Feo di Vito, 89122 Reggio Calabria, Italy
Giuseppe Barbaro: DICEAM Department, Mediterranea University of Reggio Calabria, Via Graziella loc. Feo di Vito, 89122 Reggio Calabria, Italy
Giandomenico Foti: DICEAM Department, Mediterranea University of Reggio Calabria, Via Graziella loc. Feo di Vito, 89122 Reggio Calabria, Italy

Land, 2022, vol. 11, issue 1, 1-20

Abstract: In 1783, an event that has gone down in history as the great seismic crisis in Calabria began, during which two major earthquakes occurred, affecting the Calabrian ridge from the Strait to the north. Between 6 and 7 February in Scilla a tsunami occurred that caused the greatest number of victims in Italy: 1500 people. The mechanism that triggered the tsunami was the detachment of a ridge of rock due to a violent earthquake that affected the area; this detachment caused a subaerial landslide which, by sliding, then deposited the rock on the seabed a few kilometers from the coast, immediately generating the tsunami event. The objective of this study is to perform numerical simulations for tsunami events that occurred in history and use models that perform the propagation of a tsunami, using the best possible bathymetric and topographic data and the historical data to compare the validity of the results. In this way, one can obtain the validation of a model that can be used to simulate possible events of this magnitude on the Calabrian coasts and therefore be able to develop a reliable early warning tsunami system; it also has the advantage of perfectly combining computational burdens and the validity of results.

Keywords: tsunami hazard; landslide generated tsunami; numerical modeling of wave propagation; mild slope equation (MSE); Scilla; Fourier Transform (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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