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  • 1
    Electronic Resource
    Electronic Resource
    The Sine-Gordon field theory model at α2=8π, the non-superrenormalizable theory (1989)
    Springer
    Communications in mathematical physics 123 (1989), S. 425-452 
    Details
    ISSN: 1432-0916
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Physics
    Notes: Abstract We study the Sine-Gordon field theory at α2=8π. We prove that the theory is renormalizable but not superrenormalizable and we show how the perturbative renormalization procedure works in this case where the interaction is not polynomial. To go beyond the perturbative results we investigate the β-functional equation for this theory and discuss in what sense at α2=8π the theory is lacking the asymptotic freedom and how it is asymptotic free for α2〈8π in a appropriate region of the coupling constants.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01238809
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    Paper (German National Licenses)
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  • 2
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    The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18) (2021)
    Frontiers
    Details
    Publication Date: 2021-03-08
    Description: The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-eastern Atlantic, the Mediterranean, and connected seas (NEAM). NEAMTHM18 was designed as a three-phase project. The first two phases were dedicated to the model development and hazard calculations, following a formalized decision-making process based on a multiple-expert protocol. The third phase was dedicated to documentation and dissemination. The hazard assessment workflow was structured in Steps and Levels. There are four Steps: Step-1) probabilistic earthquake model; Step-2) tsunami generation and modeling in deep water; Step-3) shoaling and inundation; Step-4) hazard aggregation and uncertainty quantification. Each Step includes a different number of Levels. Level-0 always describes the input data; the other Levels describe the intermediate results needed to proceed from one Step to another. Alternative datasets and models were considered in the implementation. The epistemic hazard uncertainty was quantified through an ensemble modeling technique accounting for alternative models’ weights and yielding a distribution of hazard curves represented by the mean and various percentiles. Hazard curves were calculated at 2,343 Points of Interest (POI) distributed at an average spacing of ∼20 km. Precalculated probability maps for five maximum inundation heights (MIH) and hazard intensity maps for five average return periods (ARP) were produced from hazard curves. In the entire NEAM Region, MIHs of several meters are rare but not impossible. Considering a 2% probability of exceedance in 50 years (ARP≈2,475 years), the POIs with MIH 〉5 m are fewer than 1% and are all in the Mediterranean on Libya, Egypt, Cyprus, and Greece coasts. In the North-East Atlantic, POIs with MIH 〉3 m are on the coasts of Mauritania and Gulf of Cadiz. Overall, 30% of the POIs have MIH 〉1 m. NEAMTHM18 results and documentation are available through the TSUMAPS-NEAM project website (http://www.tsumaps-neam.eu/), featuring an interactive web mapper. Although the NEAMTHM18 cannot substitute in-depth analyses at local scales, it represents the first action to start local and more detailed hazard and risk assessments and contributes to designing evacuation maps for tsunami early warning.
    Description: The NEAMTHM18 was prepared in the framework of the European Project TSUMAPS-NEAM (http://www.tsumaps-neam.eu/) funded by the mechanism of the European Civil Protection and Humanitarian Aid Operations with grant no. ECHO/SUB/2015/718568/PREV26 (https://ec.europa.eu/echo/funding-evaluations/financing-civil-protection-europe/selected-projects/probabilistic-tsunami-hazard_en). The work by INGV authors also benefitted from funding by the INGV-DPC Agreement 2012-2021 (Annex B2).
    Description: Published
    Description: 616594
    Description: 6T. Studi di pericolosità sismica e da maremoto
    Description: 1SR TERREMOTI - Sorveglianza Sismica e Allerta Tsunami
    Description: 2SR TERREMOTI - Gestione delle emergenze sismiche e da maremoto
    Description: 3SR TERREMOTI - Attività dei Centri
    Description: 5SR TERREMOTI - Convenzioni derivanti dall'Accordo Quadro decennale INGV-DPC
    Description: 3IT. Calcolo scientifico
    Description: 4IT. Banche dati
    Description: JCR Journal
    Keywords: probabilistic tsunami hazard assessment ; earthquake-generated tsunami ; hazard uncertainty analysis ; ensemble modeling ; maximum inundation height ; NEAM ; 05.08. Risk ; 03.02. Hydrology ; 04.06. Seismology ; 04.07. Tectonophysics ; 05.01. Computational geophysics
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
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    Effect of Shallow Slip Amplification Uncertainty on Probabilistic Tsunami Hazard Analysis in Subduction Zones: Use of Long-Term Balanced Stochastic Slip Models (2020)
    Springer
    Details
    Publication Date: 2021-04-20
    Description: The complexity of coseismic slip distributions influences the tsunami hazard posed by local and, to a certain extent, distant tsunami sources. Large slip concentrated in shallow patches was observed in recent tsunamigenic earthquakes, possibly due to dynamic amplification near the free surface, variable frictional conditions or other factors. We propose a method for incorporating enhanced shallow slip for subduction earthquakes while preventing systematic slip excess at shallow depths over one or more seismic cycles. The method uses the classic k−2 stochastic slip distributions, augmented by shallow slip amplification. It is necessary for deep events with lower slip to occur more often than shallow ones with amplified slip to balance the long-term cumulative slip. We evaluate the impact of this approach on tsunami hazard in the central and eastern Mediterranean Sea adopting a realistic 3D geometry for three subduction zones, by using it to model ~ 150,000 earthquakes with 𝑀𝑤 from 6.0 to 9.0. We combine earthquake rates, depth-dependent slip distributions, tsunami modeling, and epistemic uncertainty through an ensemble modeling technique. We found that the mean hazard curves obtained with our method show enhanced probabilities for larger inundation heights as compared to the curves derived from depth-independent slip distributions. Our approach is completely general and can be applied to any subduction zone in the world.
    Description: Published
    Description: 1497–1520
    Description: 3T. Sorgente sismica
    Description: 6T. Studi di pericolosità sismica e da maremoto
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
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    Moment tensor solutions for the Amatrice 2016 seismic sequence (2018)
    Details
    Publication Date: 2018-03-05
    Description: On August 24, 2016 a ML 6.0 earthquake struck central Italy region, nearly completely destroying some small ancient towns as Amatrice, Accumoli, Arquata and Pescara del Tronto. In the following days thou- sands of aftershocks have been recorded by the INGV National Seismometric Network, 16 of them with a magnitude greater than 4.0. A Quick RCMT solution has been rapidly computed for all of them and made available on the web. Within a few weeks a definitive RCMT solution is ready for all of them, plus one. For major events (and not only) of the Amatrice seismic sequence, several rapid moment tensor solutions have been produced by various groups, using different methods and dataset. Comparing QRCMTs with other similar products, it is evident a great similarity of focal mechanisms while on the contrary, the Mw have a clear variability.
    Description: Published
    Description: 2T. Sorgente Sismica
    Description: JCR Journal
    Keywords: seismic moment tensors ; quick data ; seismic moment tensors
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
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    Il Centro Allerta Tsunami (CAT) dell’INGV (2019)
    Sigea
    Details
    Publication Date: 2019-02-25
    Description: The Tsunami Alert Centre of the INGV (CAT-INGV) was created with the aim of contributing to the mitigation of the risk due to tsunamis triggered by earthquakes on the Italian and Mediterranean coasts. Tsunamis of seismic origin, in addition to being the most frequent, are those that can be detected more quickly. Seismic waves, in fact, travel in the crust with a much higher speed than that of tsunami waves. With effective seismic networks connected in real time, an "Early Warning" system can be implemented, i.e. a system capable of sending an alert signal before the arrival of the tsunami waves, at least from a certain distance from the source. The CAT-INGV has two main tasks. The first one is to provide alerts to the competent authorities in the event of potential tsunamigenic earthquakes in the Mediterranean, taking into account the criteria defined by the Department of Civil Protection for this purpose. The second one consists in carrying out the necessary studies for the definition of the probabilistic danger of tsunamis for the Italian coasts, starting from those of seismic origin (Seismic Probabili-stic Tsunami Hazard Analysis, SPTHA). In this contribution the first aspect is described, while the realization of the studies on hazard at the Mediterranean scale is the subject of research described in various recent articles (Lorito et al., 2015; Grezio et al., 2017; Selva et al., 2017a; Selva et al., 2017b). The TSUMAPS-NEAM project, funded by the European Commission and concluded at the end of 2017, provided the first hazard map for the Mediterranean region and the north-east Atlantic (Basili et al., 2017).
    Description: Published
    Description: 91-97
    Description: 5T. Modelli di pericolosità sismica e da maremoto
    Description: N/A or not JCR
    Keywords: Centro Allerta Tsunami ; Maremoto ; Early Warning System ; Tsunamy Warning System ; IOC/NEAMTWS ; rischio ; risk ; sorveglianza ; surveillance ; allerta ; alert ; CENTRO ALLERTA TSUNAMI
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 6
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    NEAM Tsunami Hazard Model 2018 (NEAMTHM18): online data of the Probabilistic Tsunami Hazard Model for the NEAM Region from the TSUMAPS-NEAM project (2019)
    Details
    Publication Date: 2019-10-01
    Description: European-Union Civil Protection Mechanism, DG-ECHO, Agreement Number: ECHO/SUB/2015/718568/PREV26
    Description: Published
    Description: 6T. Studi di pericolosità sismica e da maremoto
    Description: 1SR TERREMOTI - Sorveglianza Sismica e Allerta Tsunami
    Description: 2SR TERREMOTI - Gestione delle emergenze sismiche e da maremoto
    Description: 4IT. Banche dati
    Keywords: Europe ; NEAM ; Atlantic Ocean ; Mediterranean Sea ; Aegean Sea ; Marmara Sea ; Black Sea ; earthquake ; tsunami ; moment magnitude ; crustal fault ; subduction interface ; megathrust ; probabilistic hazard model ; natural hazard ; Disaster Risk Reduction ; 05.08. Risk ; 04.06. Seismology ; 03.02. Hydrology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: web product
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  • 7
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    A Bayesian seismic hazard analysis for the city of Naples (2018)
    Wiley Library
    Details
    Publication Date: 2018-03-20
    Description: In this paper we explore the feasibility of formulating the hazard assessment procedure to include the information of past earthquakes into the probabilistic seismic hazard analysis, together with the use of an ensemble modeling technique. This strategy allows, on the one hand, to enlarge the information used in the evaluation of the hazard, from alternative models for the earthquake generation process to past shaking and, on the other hand, to explicitly account for the uncertainties. The Bayesian scheme we propose is applied to evaluate the seismic hazard of Naples. The framework in which we have embedded the tools is flexible to include all types of uncertainties. Here we focus on a sensitive study of the earthquake occurrence by implementing models that span from random to cluster‐type temporal behavior and models that include quasiperiodic occurrence of earthquakes on faults. We implement five different spatiotemporal models to parameterize the occurrence of earthquakes potentially dangerous for Naples. Subsequently, we combine these hazard curves with ShakeMaps of past earthquakes that have been felt in Naples since 1200 A.D. The results are posterior ensemble hazard curves for three exposure times, e.g., 5, 10, and 50 years, in a dense grid that covers the municipality of Naples, considering rocky soil and including the site amplification. Our results show the importance to include the data from past shaking since the difference between the prior and the posterior is about 8–15% for the different exposure times.
    Description: Futuro in Ricerca 2008” FIRB Project ByMur (RBFR0880SR)
    Description: Published
    Description: 1990-2012
    Description: 6T. Variazioni delle caratteristiche crostali e precursori
    Description: JCR Journal
    Keywords: Seismic Hazard ; Bayesian ; Naplese ; Monte Carlo Simulation ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 8
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    NEAMTHM18 Documentation: the making of the TSUMAPS-NEAM Tsunami Hazard Model 2018 (2019)
    Details
    Publication Date: 2020-01-17
    Description: The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-East Atlantic, the Mediterranean, and connected Seas (NEAM). In this online data product, the hazard results are provided by hazard curves calculated at 2,343 Points of Interest (POI), distributed in the North-East Atlantic (1,076 POIs), the Mediterranean Sea (1,130 POIs), and the Black Sea (137 POIs) at an average spacing of ~20 km. For each POI, hazard curves are given for the mean, 2nd, 16th, 50th, 84th, and 98th percentiles. Maps derived from hazard curves are Probability maps for Maximum Inundation Heights (MIH) of 1, 2, 5, 10, 20 meters; Hazard maps for Average Return Periods (ARP) of 500, 1,000, 2,500, 5,000, 10,000 years. For each map, precalculated displays are provided for the mean, the 16th percentile, and the 84th percentile. All data are also made accessible through an interactive web mapper and through Open Geospatial Consortium standard protocols. The model was prepared in the framework of the European Project TSUMAPS-NEAM (http://www.tsumaps-neam.eu/) funded by the mechanism of the European Civil Protection and Humanitarian Aid Operations (grant no. ECHO/SUB/2015/718568/PREV26).
    Description: European-Union Civil Protection Mechanism, DG-ECHO, Agreement Number ECHO/SUB/2015/718568/PREV26
    Description: Published
    Description: 6T. Studi di pericolosità sismica e da maremoto
    Description: 1SR TERREMOTI - Sorveglianza Sismica e Allerta Tsunami
    Description: 2SR TERREMOTI - Gestione delle emergenze sismiche e da maremoto
    Keywords: Europe ; NEAM ; Atlantic Ocean ; Mediterranean Sea ; Aegean Sea ; Marmara Sea ; Black Sea ; earthquake ; tsunami ; moment magnitude ; crustal fault ; subduction interface ; megathrust ; probabilistic hazard model ; natural hazard ; Disaster Risk Reduction ; 05.08. Risk ; 04.06. Seismology ; 03.02. Hydrology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: report
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  • 9
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    Probabilistic tsunami forecasting for early warning (2021)
    Nature PG
    Details
    Publication Date: 2021-12-15
    Description: Tsunami warning centres face the challenging task of rapidly forecasting tsunami threat immediately after an earthquake, when there is high uncertainty due to data deficiency. Here we introduce Probabilistic Tsunami Forecasting (PTF) for tsunami early warning. PTF explicitly treats data- and forecast-uncertainties, enabling alert level definitions according to any predefined level of conservatism, which is connected to the average balance of missed-vs-false-alarms. Impact forecasts and resulting recommendations become progressively less uncertain as new data become available. Here we report an implementation for near-source early warning and test it systematically by hindcasting the great 2010 M8.8 Maule (Chile) and the well-studied 2003 M6.8 Zemmouri-Boumerdes (Algeria) tsunamis, as well as all the Mediterranean earthquakes that triggered alert messages at the Italian Tsunami Warning Centre since its inception in 2015, demonstrating forecasting accuracy over a wide range of magnitudes and earthquake types.
    Description: Published
    Description: 5677
    Description: 8T. Sismologia in tempo reale e Early Warning Sismico e da Tsunami
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 10
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    Multi‐source Bayesian Probabilistic Tsunami Hazard Analysis for the Gulf of Naples (Italy) (2020)
    Details
    Publication Date: 2023-11-21
    Description: A methodology for a comprehensive probabilistic tsunami hazard analysis (PTHA) is presented for the major sources of tsunamis (seismic events, landslides, and volcanic activity) and preliminarily applied in the Gulf of Naples (Italy). The methodology uses both a modular procedure to evaluate the tsunami hazard and a Bayesian analysis to include the historical information of the past tsunami events. In the Source module the submarine earthquakes and the submarine mass failures are initially identified in a gridded domain and defined by a set of parameters, producing the sea floor deformations and the corresponding initial tsunami waves. Differently volcanic tsunamis generate sea surface waves caused by pyroclastic density currents from Somma‐Vesuvius. In the Propagation module the tsunami waves are simulated and propagated in the deep sea by a numerical model that solves the shallow water equations. In the Impact module the tsunami wave heights are estimated at the coast using the Green's amplification law. The selected tsunami intensity is the wave height. In the Bayesian module the probabilistic tsunami analysis computes the long‐term comprehensive Bayesian PTHA. In the prior analysis the probabilities from the scenarios in which the tsunami parameter overcomes the selected threshold levels are combined with the spatial, temporal and frequency‐size probabilities of occurrence of the tsunamigenic sources. The prior probability density functions are integrated with the likelihood derived from the historical information based on past tsunami data. The posterior probability density functions are evaluated to produce the hazard curves in selected sites of the Gulf of Naples.
    Description: Published
    Description: e2019JC015373
    Description: 6T. Studi di pericolosità sismica e da maremoto
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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