Natural Hazards and Earth System Sciences (Jun 2023)

Assessing long-term tephra fallout hazard in southern Italy from Neapolitan volcanoes

  • S. Massaro,
  • S. Massaro,
  • M. Stocchi,
  • M. Stocchi,
  • B. Martínez Montesinos,
  • L. Sandri,
  • J. Selva,
  • J. Selva,
  • R. Sulpizio,
  • R. Sulpizio,
  • R. Sulpizio,
  • B. Giaccio,
  • M. Moscatelli,
  • E. Peronace,
  • M. Nocentini,
  • M. Nocentini,
  • R. Isaia,
  • M. Titos Luzón,
  • P. Dellino,
  • G. Naso,
  • A. Costa

DOI
https://doi.org/10.5194/nhess-23-2289-2023
Journal volume & issue
Vol. 23
pp. 2289 – 2311

Abstract

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Nowadays, modeling of tephra fallout hazard is coupled with probabilistic analysis that takes into account the natural variability of the volcanic phenomena in terms of eruption probability, eruption sizes, vent position, and meteorological conditions. In this framework, we present a prototypal methodology to carry out the long-term tephra fallout hazard assessment in southern Italy from the active Neapolitan volcanoes: Somma–Vesuvius, Campi Flegrei, and Ischia. The FALL3D model (v.8.0) has been used to run thousands of numerical simulations (1500 per eruption size class), considering the ECMWF ERA5 meteorological dataset over the last 30 years. The output in terms of tephra ground load has been processed within a new workflow for large-scale, high-resolution volcanic hazard assessment, relying on a Bayesian procedure, in order to provide the mean annual frequency with which the tephra load at the ground exceeds given critical thresholds at a target site within a 50-year exposure time. Our results are expressed in terms of absolute mean hazard maps considering different levels of aggregation, from the impact of each volcanic source and eruption size class to the quantification of the total hazard. This work provides, for the first time, a multi-volcano probabilistic hazard assessment posed by tephra fallout, comparable with those used for seismic phenomena and other natural disasters. This methodology can be applied to any other volcanic areas or over different exposure times, allowing researchers to account for the eruptive history of the target volcanoes that, when available, could include the occurrence of less frequent large eruptions, representing critical elements for risk evaluations.