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  • 1
    Publication Date: 2017-04-04
    Description: Italy is one of the countries of the Mediterranean Sea most affected by tsunamis. Catalogues of Italian tsunamis show that Italian coasts were attacked by large tsunamis in the past that had catastrophic effects, causing thousands of victims and severe damage, though the cases of tsunamis associated with volcanic activity and submarine slides cannot be neglected, most tsunamis were the results of coastal and submarine earthquakes. Therefore, assessing the occurrence probability of tsunamigenic earthquake is an important contribution to the global evaluation of tsunami hazard. Improving a methodology used for a preliminary evaluation of tsunami hazard in Italy more than one decade ago, this paper applies probabilistic seismic hazard techniques focussing on Calabria and Sicily, that are among the most active seismic and tsunamigenic regions in Italy. The estimated tsunami activity, expressed in terms of the number of expected events in a 10,000-year period with run-up heights exceeding a given threshold value, is compared with the information deducible from the most recent Italian tsunami catalogue
    Description: Published
    Description: 189-201
    Description: 4.2. TTC - Scenari e mappe di pericolosità sismica
    Description: reserved
    Keywords: Coastal tsunami amplification ; Eastern Sicily ; Hybrid method ; Southern calabria ; 05. General::05.08. Risk::05.08.01. Environmental risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2017-04-04
    Description: Abstract PyBetVH is a completely new, free, open-source and cross-platform software implementation of the Bayesian Event Tree for Volcanic Hazard (BET_VH), a tool for estimating the probability of any magmatic hazardous phenomenon occurring in a selected time frame, accounting for all the uncertainties. New capabilities of this implementation include the ability to calculate hazard curves which describe the distribution of the exceedance probability as a function of intensity (e.g., tephra load) on a grid of points covering the target area. The computed hazard curves are (i) absolute (accounting for the probability of eruption in a given time frame, and for all the possible vent locations and eruptive sizes) and (ii) Bayesian (computed at different percentiles, in order to quantify the epistemic uncertainty). Such curves allow representation of the full information contained in the probabilistic volcanic hazard assessment (PVHA) and are well suited to become a main input to quantitative risk analyses. PyBetVH allows for interactive visualization of both the computed hazard curves, and the corresponding Bayesian hazard/probability maps. PyBetVH is designed to minimize the efforts of end users, making \{PVHA\} results accessible to people who may be less experienced in probabilistic methodologies, e.g. decision makers. The broad compatibility of Python language has also allowed PyBetVH to be installed on the \{VHub\} cyber-infrastructure, where it can be run online or downloaded at no cost. PyBetVH can be used to assess any type of magmatic hazard from any volcano. Here we illustrate how to perform a \{PVHA\} through PyBetVH using the example of analyzing tephra fallout from the Okataina Volcanic Centre (OVC), New Zealand, and highlight the range of outputs that the tool can generate.
    Description: Published
    Description: 38-46
    Description: 3V. Dinamiche e scenari eruttivi
    Description: JCR Journal
    Description: restricted
    Keywords: Probabilistic volcanic hazard assessment ; Interactive visualization ; Bayesian Event Tree ; Hazard curves ; Graphical User Interfac ; 05. General::05.02. Data dissemination::05.02.03. Volcanic eruptions
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
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