4 results on '"Pietrantonio, G."'
Search Results
2. The new Italian seismic hazard model (MPS19)
- Author
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Meletti, C., Marzocchi, W., D'amico, V., Lanzano, G., Luzi, L., Martinelli, F., Pace, B., Rovida, A., Taroni, M., Visini, F., Akinci, A., Anzidei, M., Avallone, A., Azzaro, R., Barani, S., Barberi, G., Barreca, G., Basili, R., Bird, P., Bonini, M., Burrato, P., Busetti, M., Camassi, R., Carafa, M., Cavaliere, A., Cecere, G., Cheloni, D., Chioccarelli, E., Console, R., Corti, G., D'agostino, N., Cin, M., D'ambrosio, C., D’amico, M., D’amico, S., Devoti, R., Esposito, A., Faenza, L., Falcone, G., Felicetta, C., Fracassi, U., Franco, L., Galvani, A., Gasperini, P., Gee, R., Capera, A., Iervolino, I., Kastelic, V., Lai, C., Locati, M., Lolli, B., Maesano, F., Marchesini, A., Mariucci, M., Martelli, L., Massa, M., Metois, M., Monaco, C., Montone, P., Moschetti, M., Murru, M., Pacor, F., Pagani, M., Pasolini, C., Peresan, A., Peruzza, L., Pietrantonio, G., Poli, M., Pondrelli, S., Puglia, R., Rebez, A., Riguzzi, F., Roselli, P., Rotondi, R., Russo, E., Sani, F., Santulin, M., Selvaggi, G., Scafidi, D., Selva, J., Sepe, V., Serpelloni, E., Slejko, D., Spallarossa, D., Stallone, A., Tamaro, A., Tarabusi, G., Tiberti, M., Tuvè, T., Valensise, G., Vallone, R., Vannoli, P., Vannucci, G., Varini, E., Zanferrari, A., Zuccolo, E., Danciu, L., Schorlemmer, D., Bazzurro, P., Giardini, D., Modena, C., Mulargia, F., Seno, S., Group, T., Meletti, C., Marzocchi, W., D'Amico, V., Lanzano, G., Luzi, L., Martinelli, F., Pace, B., Rovida, A., Taroni, M., Visini, F., Selva, Jacopo, Meletti C., Marzocchi W., D'amico V., Lanzano G., Luzi L., Martinelli F., Pace B., Rovida A., Taroni M., Visini F., Akinci A., Anzidei M., Avallone A., Azzaro R., Barani S., Barberi G., Barreca G., Basili R., Bird P., Bonini M., Burrato P., Busetti M., Camassi R., Carafa M.M.C., Cavaliere A., Cecere G., Cheloni D., Chioccarelli E., Console R., Corti G., D'agostino N., Cin M.D., D'ambrosio C., D'amico M., D'amico S., Devoti R., Esposito A., Faenza L., Falcone G., Felicetta C., Fracassi U., Franco L., Galvani A., Gasperini P., Gee R., Capera A.A.G., Iervolino I., Kastelic V., Lai C.G., Locati M., Lolli B., Maesano F.E., Marchesini A., Mariucci M.T., Martelli L., Massa M., Metois M., Monaco C., Montone P., Moschetti M., Murru M., Pacor F., Pagani M., Pasolini C., Peresan A., Peruzza L., Pietrantonio G., Poli M.E., Pondrelli S., Puglia R., Rebez A., Riguzzi F., Roselli P., Rotondi R., Russo E., Sani F., Santulin M., Selvaggi G., Scafidi D., Selva J., Sepe V., Serpelloni E., Slejko D., Spallarossa D., Stallone A., Tamaro A., Tarabusi G., Tiberti M.M., Tuve T., Valensise G., Vallone R., Vannoli P., Vannucci G., Varini E., Zanferrari A., Zuccolo E., Danciu L., Schorlemmer D., Bazzurro P., Giardini D., Modena C., Mulargia F., Seno S., and MPS19 Working Group
- Subjects
Peak ground acceleration ,Epistemic uncertainty ,Computer science ,010502 geochemistry & geophysics ,computer.software_genre ,01 natural sciences ,Interpretation (model theory) ,Seismic hazard ,Set (abstract data type) ,Range (statistics) ,Earthquake hazard analysis -- Italy ,Ensemble modeling ,Uncertainty quantification ,Probabilistic framework ,0105 earth and related environmental sciences ,Structure (mathematical logic) ,Probabilistic methods ,Earthquake prediction ,Geophysics ,Ensemble learning (Machine learning) ,Probabilistic method ,Italy ,Probabilities -- Mathematical models ,Data mining ,computer - Abstract
We describe the main structure and outcomes of the new probabilistic seismic hazard model for Italy, MPS19 [Modello di Pericolosità Sismica, 2019]. Besides to outline the probabilistic framework adopted, the multitude of new data that have been made available after the preparation of the previous MPS04, and the set of earthquake rate and ground motion models used, we give particular emphasis to the main novelties of the modeling and the MPS19 outcomes. Specifically, we (i) introduce a novel approach to estimate and to visualize the epistemic uncertainty over the whole country; (ii) assign weights to each model components (earthquake rate and ground motion models) according to a quantitative testing phase and structured experts’ elicitation sessions; (iii) test (retrospectively) the MPS19 outcomes with the horizontal peak ground acceleration observed in the last decades, and the macroseismic intensities of the last centuries; (iv) introduce a pioneering approach to build MPS19_cluster, which accounts for the effect of earthquakes that have been removed by declustering. Finally, to make the interpretation of MPS19 outcomes easier for a wide range of possible stakeholders, we represent the final result also in terms of probability to exceed 0.15 g in 50 years., peer-reviewed
- Published
- 2021
- Full Text
- View/download PDF
3. Active Fold‐Thrust Belt to Foreland Transition in Northern Adria, Italy, Tracked by Seismic Reflection Profiles and GPS Offshore Data.
- Author
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Pezzo, G., Petracchini, L., Devoti, R., Maffucci, R., Anderlini, L., Antoncecchi, I., Billi, A., Carminati, E., Ciccone, F., Cuffaro, M., Livani, M., Palano, M., Petricca, P., Pietrantonio, G., Riguzzi, F., Rossi, G., Sparacino, F., and Doglioni, C.
- Abstract
The Adria microplate is the foreland of the oppositely verging Apennines and Alps or Dinarides fold‐thrust belts associated to the related subduction zones. Along its western margin, the Adria plate hosts the active Northern Apennines accretionary prism, which is buried under the Adriatic Sea and the Po Plain. The interpretation of seismic reflection profiles and borehole data allowed us to define the geometry of the transition from the Apennines fold‐thrust belt to its undeformed foreland. Moreover, continuous GPS (CGPS) data from offshore hydrocarbon platforms anchored to the seabed of the northern Adriatic plate allow to measure present‐day kinematics. Although the CGPS signals are affected by non‐tectonic components associated with hydrocarbon extraction, the integration of geodetic analysis, subsurface geological reconstructions, and analytical modeling allowed us to constrain the ongoing tectonic activity. Shortening is currently accommodated by aseismic slip along the basal detachment, likely accumulating elastic energy along the frontal ramp that may eventually seismically slip. Our multidisciplinary study suggests that the study area may not be sheltered from relevant seismic sequences similar to the Mw 6 Emilia 2012 events and that the occurrence of potential seismogenic sources in the area should be carefully evaluated. Similar studies may be useful to constrain the present‐day activity in other marine areas and to identify potential and hitherto unrecognized seismogenic sources along the entire Apennines belt and other accretionary prisms worldwide. Key Points: Seismic reflection profiles in the northern Adriatic Sea allow to reconstruct the Apennines fold‐thrust belt geometry and its forelandOffshore CGPS data allow computation of the active shortening in the accretionary prismAnalytical modeling provides a first‐order estimation of the current slip rate of the unlocked and locked surfaces of the basal decollement [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
4. Co-seismic displacements associated to the Molise (Southern Italy) earthquake sequence of October–November 2002 inferred from GPS measurements
- Author
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Giuliani, R., Anzidei, M., Bonci, L., Calcaterra, S., D'Agostino, N., Mattone, M., Pietrantonio, G., Riguzzi, F., and Selvaggi, G.
- Subjects
- *
EARTHQUAKES , *EARTH movements , *NATURAL disasters - Abstract
Abstract: The 2002 earthquake sequence of October 31 and November 1 (main shocks Mw=5.7) struck an area of the Molise region in Southern Italy. In this paper we analyzed the co-seismic deformation related to the Molise seismic sequence, inferred from GPS data collected before and after the earthquake, that ruptured a rather deep portion of crust releasing a moderate amount of seismic energy with no surface rupture. The GPS data have been reduced using two different processing strategies and softwares (Bernese and GIPSY) to have an increased control over the result accuracy, since the expected surface displacements induced by the Molise earthquake are in the order of the GPS reliability. The surface deformations obtained from the two approaches are statistically equivalent and show a displacement field consistent with the expected deformation mechanism and with no rupture at the surface. In order to relate this observation with the seismic source, an elastic modeling of fault dislocation rupture has been performed using seismological parameters as constraints to the model input and comparing calculated surface displacements with the observed ones. The sum of the seismic moments (8.9×1017 Nm) of the two main events have been used as a constraint for the size and amount of slip on the model fault while its geometry has been constrained using the focal mechanisms and aftershocks locations. Since the two main shocks exhibit the same fault parameters (strike of the plane, dip and co-seismic slip), we modelled a single square fault, size of 15 km×15 km, assumed to accommodate the whole rupture of both events of the seismic sequence. A vertical E–W trending fault (strike=266°) has been modeled, with a horizontal slip of 120 mm. Sensitivity tests have been performed to infer the slip distribution at depth. The comparison between GPS observations and displacement vectors predicted by the dislocation model is consistent with a source fault placed between 5 and 20 km of depth with a constant pure right-lateral strike-slip in agreement with fault slip distribution analyses using seismological information. The GPS strain field obtained doesn''t require a geodetic moment release larger than the one inferred from the seismological information ruling out significant post-seismic deformation or geodetic deformation released at frequencies not detectable by seismic instruments. The Molise sequence has a critical seismotectonic significance because it occurred in an area where no historical seismicity or seismogenic faults are reported. The focal location of the sequence and the strike-slip kinematics of main shocks allow to distinguish it from the shallower and extensional seismicity of the southern Apennines being more likely related to the decoupling of the southern Adriatic block from the northern one. [Copyright &y& Elsevier]
- Published
- 2007
- Full Text
- View/download PDF
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