Search

Your search keyword '"Pietrantonio, G."' showing total 95 results
Start Over Author "Pietrantonio, G."
95 results on '"Pietrantonio, G."'

1. Geodynamics, geophysical and geochemical observations, and the role of CO2 degassing in the Apennines

Author

Di Luccio, F., Palano, M., Chiodini, G., Cucci, L., Piromallo, C., Sparacino, F., Ventura, G., Improta, L., Cardellini, C., Persaud, P., Pizzino, L., Calderoni, G., Castellano, C., Cianchini, G., Cianetti, S., Cinti, D., Cusano, P., De Gori, P., De Santis, A., Del Gaudio, P., Diaferia, G., Esposito, A., Galluzzo, D., Galvani, A., Gasparini, A., Gaudiosi, G., Gervasi, A., Giunchi, C., La Rocca, M., Milano, G., Morabito, S., Nardone, L., Orlando, M., Petrosino, S., Piccinini, D., Pietrantonio, G., Piscini, A., Roselli, P., Sabbagh, D., Sciarra, A., Scognamiglio, L., Sepe, V., Tertulliani, A., Tondi, R., Valoroso, L., Voltattorni, N., and Zuccarello, L.

Published
2022
Full Text
View/download PDF

3. Transient deformations in the Suez-Sinai area from GPS observations

Author

Riguzzi, F., Piersanti, A., Pietrantonio, G., and Mahmoud, S. M.

Subjects
Physics - Geophysics
Abstract

We analyze data from four GPS campaigns carried out between 1997 and 2002 on a network of 11 sites in the Suez-Sinai, the area of collision between the African and the Arabian plates. This is the key area to understand how and in which way Sinai behaves like a sub-plate of the African plate and the role played between seismic and geodetic (long term) deformation release. Our analysis shows that, on average, the Suez-Sinai area motion (in terms of ITRF00 velocities) matches African plate motion (NNR-NUVEL-1A model). However, the baseline length variations show transient deformations in Sinai and across the Gulf of Suez, reaching up a maximum value of about 1.5 cm in five years. Since current geodynamical models do not predict significant tectonic deformation in this area, we worked under the hypothesis that a contribute may be due to post-seismic relaxation. Under this hypothesis, we compared the baselines length variations with the post-seismic relaxation field associated with five major local earthquakes occurred in the area, testing two different viscoelastic models. Our results show that the transient deformations are better modelled for viscosity values of 1018 Pa s in the lower crust and 1020 Pa s in the asthenosphere. However, since the modelled post-seismic effect results modest and a certain amount of the detected deformation is not accounted for, we think that an improved modelling should take into account the lateral heterogeneities of crust and upper mantle structures.

Published
2005
Full Text
View/download PDF

4. Global permanent deformations triggered by the Sumatra earthquake

Author

Boschi, E., Casarotti, E., Devoti, R., Melini, D., Piersanti, A., Pietrantonio, G., and Riguzzi, F.

Subjects
Physics - Geophysics
Abstract

The giant Sumatra-Andaman earthquake of December 26 2004 caused permanent deformations effects in a region of previously never observed extension. The GPS data from the world wide network of permanent IGS sites show significant coseismic displacements in an area exceeding 107 km^2. The effects of the permanent residual deformation field could be detected as far as Australia, the Phillipines and Japanese archipelagos, and, on the West, as far as the indian continent. The synthetic simulations of the coseismic displacement field obtained by means of a spherical model support the hypothesis that a considerable amount of energy has been released aseismically., Comment: 10 pages, submitted as a Science Brevia communication

Published
2005

8. Real-time GNSS @RING: from data acquisition to data analysis

Author

Avallone, A., D'Ambrosio, C., Falco, L., Jiang, X., Ge, M., Xie, W., Babeyko, A., Cecere, G., Devoti, R., Famiglietti, N., Grasso, C., Pietrantonio, G., and Vicari, A.

Abstract

The INGV RING research infrastructure is based on a permanent GNSS network developed to measure deformation at different spatial and temporal scales in the Mediterranean region. The network (http://ring.gm.ingv.it/) consists of ~250 real-time transmitting remote sites, using standard RTCM format, towards the Irpinia acquisition centres (Southern Italy). Data streaming is managed by a Ntrip Caster (https://igs.bkg.bund.de/ntrip/bkgcaster), whose sourcetable is synchronized with the RING database, thus guaranteeing reliable metadata for the analysis. Within the EWRICA project, the real-time data analysis is performed by using the RTPPP software (Ge et al.,2012) that provides different Precise Point Positioning products with increasing accuracies (standard PPP, PPP-AR and PPP-RA). On 24-h data, the ambiguity resolution (PPP-AR) and the regional augmentation (PPP-RA) allows accuracies of ~1 cm and ~3 cm for the horizontal and vertical components, respectively, at the best sites. Using shorter sliding windows (i.e. 60 s or 120 s, thus simulating a real-time situation), the accuracies are ~0,5 cm and ~1 cm for horizontal and vertical components, respectively. We also tested a homemade algorithm able to detect co-seismic static offsets in real-time in a simulated real-time strategy. The first results make the RING real-time solutions a potential contribution to be tested in earthquake and tsunami warning systems in Italy and surrounding regions. We will show the RING architecture, from the data to the PPP results, an evaluation of the uncertainties, and some examples of offset detection for recent earthquakes.&nbsp, The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023
Full Text
View/download PDF

11. The new Italian seismic hazard model (MPS19)

Author

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

18. Active Fold‐Thrust Belt to Foreland Transition in Northern Adria, Italy, Tracked by Seismic Reflection Profiles and GPS Offshore Data

Author

Pezzo, G., primary, Petracchini, L., additional, Devoti, R., additional, Maffucci, R., additional, Anderlini, L., additional, Antoncecchi, I., additional, Billi, A., additional, Carminati, E., additional, Ciccone, F., additional, Cuffaro, M., additional, Livani, M., additional, Palano, M., additional, Petricca, P., additional, Pietrantonio, G., additional, Riguzzi, F., additional, Rossi, G., additional, Sparacino, F., additional, and Doglioni, C., additional

Published
2020
Full Text
View/download PDF

20. Partitioning the Ongoing Extension of the Central Apennines (Italy): Fault Slip Rates and Bulk Deformation Rates From Geodetic and Stress Data

Author

Carafa, M. M. C., primary, Galvani, A., additional, Di Naccio, D., additional, Kastelic, V., additional, Di Lorenzo, C., additional, Miccolis, S., additional, Sepe, V., additional, Pietrantonio, G., additional, Gizzi, C., additional, Massucci, A., additional, Valensise, G., additional, and Bird, P., additional

Published
2020
Full Text
View/download PDF

25. Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data

Author

Cheloni, D., De Novellis, V., Albano, M., Antonioli, A., Anzidei, M., Atzori, S., Avallone, Alessandro, Bignami, C., Bonano, M., Calcaterra, Silvia, Castaldo, R., Casu, F., Cecere, G., De Luca, C., Devoti, R., Di Bucci, D., Esposito, A., Galvani, A., Gambino, P., Giuliani, R., Lanari, R., Manunta, M., Manzo, M., Mattone, ALBERTO MARIA, Montuori, A., Pepe, A., Pepe, S., Pezzo, G., Pietrantonio, G., Polcari, M., Riguzzi, F., Salvi, Silvia, Sepe, V., Serpelloni, E., Solaro, G., Stramondo, S., Tizzani, P., Tolomei, C., Trasatti, E., Valerio, E., Zinno, I., and Doglioni, C.

Subjects
2016 Central Italy earthquake, analytical modeling, coseismic ground deformation, InSAR and GPS data, geophysics, earth and planetary sciences, human activities, Deformation
Abstract

We investigate a large geodetic data set of interferometric synthetic aperture radar (InSAR) and GPS measurements to determine the source parameters for the three main shocks of the 2016 Central Italy earthquake sequence on 24 August and 26 and 30 October (M-w 6.1, 5.9, and 6.5, respectively). Our preferred model is consistent with the activation of four main coseismic asperities belonging to the SW dipping normal fault system associated with the Mount Gorzano-Mount VettoreMount Bove alignment. Additional slip, equivalent to a Mw similar to 6.1-6.2 earthquake, on a secondary (1) NE dipping antithetic fault and/or (2) on a WNW dipping low-angle fault in the hanging wall of the main system is required to better reproduce the complex deformation pattern associated with the greatest seismic event (the Mw 6.5 earthquake). The recognition of ancillary faults involved in the sequence suggests a complex interaction in the activated crustal volume between the main normal faults and the secondary structures and a partitioning of strain release.

Published
2017
Full Text
View/download PDF

27. Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data

Author

Cheloni, D., primary, De Novellis, V., additional, Albano, M., additional, Antonioli, A., additional, Anzidei, M., additional, Atzori, S., additional, Avallone, A., additional, Bignami, C., additional, Bonano, M., additional, Calcaterra, S., additional, Castaldo, R., additional, Casu, F., additional, Cecere, G., additional, De Luca, C., additional, Devoti, R., additional, Di Bucci, D., additional, Esposito, A., additional, Galvani, A., additional, Gambino, P., additional, Giuliani, R., additional, Lanari, R., additional, Manunta, M., additional, Manzo, M., additional, Mattone, M., additional, Montuori, A., additional, Pepe, A., additional, Pepe, S., additional, Pezzo, G., additional, Pietrantonio, G., additional, Polcari, M., additional, Riguzzi, F., additional, Salvi, S., additional, Sepe, V., additional, Serpelloni, E., additional, Solaro, G., additional, Stramondo, S., additional, Tizzani, P., additional, Tolomei, C., additional, Trasatti, E., additional, Valerio, E., additional, Zinno, I., additional, and Doglioni, C., additional

Published
2017
Full Text
View/download PDF

28. Deformazione dell'arco vulcanico delle Eolie a differenti scale spaziali e temporali

Author

Anzidei M., Bonforte A., Bruno V., Casalbore D., Chiocci F., Esposito A., Mattia M., Pietrantonio G., Pisani A. R., Sepe V., Tusa S., Ventura G., ROMAGNOLI, CLAUDIA, Anzidei M., Bonforte A., Bruno V., Casalbore D., Chiocci F., Esposito A., Mattia M., Pietrantonio G., Pisani A.R., Romagnoli C., Sepe V., Tusa S., and Ventura G.

Subjects
VERTICAL MOVEMENTS, SEA LEVEL CHANGE
Published
2013

31. Integrated Surveys Of Active Volcanoes From Airborne, Bathymetric and Ground Based Data: The Examples Of Panarea and Albano (Italy)

Author

Anzidei M., Esposito A., Fabris M., Pesci A., Pietrantonio G., Giordano G., Carapezza M. L., Riguzzi F., BALDI, PAOLO, ESA, VOLKER LIEBIG, Anzidei M., Baldi P., Esposito A., Fabris M., Pesci A., Pietrantonio G., Giordano G., Carapezza M.L., and Riguzzi F.

Subjects
FOTOGRAMMETRIA, LIDAR, BATIMETRIA
Abstract

Esempi di applicazioni di metodologie di rilievo delle superfici per il monitoraggio di aree vulcaniche

Published
2007

34. Mid-term review results of the ESA STSE Pathfinder CHARMING project (Constraining Seismic Hazard Models with InSAR and GPS)

Author

Merryman Boncori, John Peter, primary, Devoti, Roberto, additional, Visini, Francesco, additional, Carafa, M.M.C., additional, Pezzo, Giuseppe, additional, Kastelic, Vanjia, additional, Fornaro, G., additional, Berardino, Paolo, additional, Atzori, S., additional, D'Amico, V., additional, Kastelic, V., additional, Meletti, C., additional, Pietrantonio, G., additional, Riguzzi, F., additional, Salvi, S., additional, and Fernandez Prieto, D., additional

Published
2015
Full Text
View/download PDF

41. A futura memoria d'Italia / To the Future Memory of Italy

Author

Di Pietrantonio G, Rodeschini MC, Cazzullo A, Farinelli F, Morelli U, Di Caro R, Bonami F, Zanchi G, Bargna LI, Sacco PL, Bargna, L, BARGNA, LEOPOLDO IVAN, Di Pietrantonio G, Rodeschini MC, Cazzullo A, Farinelli F, Morelli U, Di Caro R, Bonami F, Zanchi G, Bargna LI, Sacco PL, Bargna, L, and BARGNA, LEOPOLDO IVAN

Published
2011

46. Tidal Errors and Deformations in Regional GPS Networks.

Author

Sansò, Fernando, Gil, Antonio J., Biagi, L., Pietrantonio, G., and Riguzzi, F.

Abstract

At present, the tidal correction model described in the IERS 2003 Conventions should be applied in the processing of permanent networks: in brief, the model involves the computation of a first order tidal correction plus some corrective terms, as functions of space and time. In the BERNESE software, one of the main scientific softwares for GPS network processing, the IERS tidal model is implemented; in July 2004, a bug in the tidal correction routine was identified by one of the paper authors and corrected by the BERNESE staff: the error concerned a second order term, related to the semidiurnal tidal signal. An experimental analysis on the error effects in the results stemming from processing of regional networks has been carried out. A network of 8 European permanent GPS stations has been selected: the network choice ensures heterogeneity in the length and the orientation of the baselines. One year of data has been considered and two elaborations of the data have been performed using the BERNESE 4.2 SW, by applying the same processing strategy and, respectively, the wrong (old) and the right (corrected) tidal correction routine. The differences in the network results and the deformations caused by the error are discussed. [ABSTRACT FROM AUTHOR]

Published
2006
Full Text
View/download PDF

47. GNSS data provide unexpected insights in hydrogeologic processes.

Author

RIGUZZI, F., DEVOTI, R., and PIETRANTONIO, G.

Subjects
*GLOBAL Positioning System, *HYDROGEOLOGY, *TIME series analysis, *FLUID flow, *DEFORMATION of surfaces, *WATER pressure, *HORIZONTAL wells
Abstract

The analysis of long time series of Global Navigation Satellite System (GNSS) observations has recently evidenced that the slow tectonic processes are not the only ones producing the observed slow deformations, but the Earth's crust reacts also to stresses induced by pressure variations and water circulation. The basic mechanisms are substantially of two kinds: deformations induced by the elastic response of the loaded surface and deformations due to the poroelastic properties of the ground. These mechanisms are quite different, in the first case the water load causes subsidence, in the second uplift; both create horizontal deformations moving away from the centre of deformation. Under anisotropic conditions, water pressure changes in poroelastic soils can induce large horizontal deformations especially where highly fractured rocks may provide permeability for fluid flow. Both elastic and poroelastic phenomena are observable and measurable by continuous GNSS monitoring of ground deformations. Both can be triggered by periodical atmospheric processes but also by extreme events, like heavy rainfalls. We will show a few case studies, observed in the Italian area, that demonstrate how the deformation patterns, at different repeating periods, clearly correlate with groundwater circulation in different environmental condition. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

50. True or false GPS-derived deformations?

Author

Riguzzi, F.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia, Pietrantonio, G.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia, Crespi, M.; DITS, Università di Roma "La Sapienza", Roma, Italy, Anzidei, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia, Riguzzi, F.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia, Pietrantonio, G.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia, Crespi, M.; DITS, Università di Roma "La Sapienza", Roma, Italy, and Anzidei, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia

Abstract

In this paper we focus on the question whether GPS networks born with cartographic aims can be safely used in crustal deformation control. We carried out a test on a network of five vertices located in the Rome district, comparing two data sets, the first coming from the adjustment of the survey carried out in 1994 in the frame of the IGM95 project, the second coming from the surveys carried out in 1996 and 1999 by the DITS of the "La Sapienza" University of Rome. Our analysis shows how the detection of crustal deformation becomes extremely critical in absence of significant seismicity or when deformation events are limited. In other words, it is possible to find false deformations due to residual systematic effects affecting the coordinate estimates

Catalog

Books, media, physical & digital resources
See catalog results