2013
DOI: 10.4401/ag-6462
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Somma Vesuvius volcano: ground deformations from CGPS observations (2001-2012)

Abstract: <p>This paper is a contribution to the evaluation of ground deformations at Somma-Vesuvius volcano by means GPS measurements from 2001 to 2012. In this study we use a dataset from nine continuous GPS stations of the Neapolitan Volcanoes Continuous GPS network (NeVoCGPS), which covers the Neapolitan volcanic area, and is operated by the Istituto Nazionale di Geofisica e Vulcanologia. The GPS data processing is performed by the Bernese software v. 5.0. The results of the data processing show that the dynam… Show more

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Cited by 18 publications
(9 citation statements)
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“…(Figure 2). We remark that in 2009 we have connected the leveling network to the GPS 3D vertices of the permanent GPS network of the Neapolitan volcanic area (Figure 2) [Bottiglieri et al 2007, Tammaro et al 2013]. The Vesuvius leveling network consists today of 359 benchmarks, distributed over an area of about 250 km 2 .…”
Section: Vesuvius Area Leveling Network (Valn): Design Installation and Evolutionmentioning
confidence: 99%
“…(Figure 2). We remark that in 2009 we have connected the leveling network to the GPS 3D vertices of the permanent GPS network of the Neapolitan volcanic area (Figure 2) [Bottiglieri et al 2007, Tammaro et al 2013]. The Vesuvius leveling network consists today of 359 benchmarks, distributed over an area of about 250 km 2 .…”
Section: Vesuvius Area Leveling Network (Valn): Design Installation and Evolutionmentioning
confidence: 99%
“…Every day, 24 hours of observed dual-frequency GPS data, with 30 seconds sampling rate and 15 degrees cut-off angle, are downloaded from each site to the Osservatorio Vesuviano [Tammaro et al 2013]. The data quality have to be quickly and accurately tested before their processing and storage in a database.…”
Section: Data Recordingmentioning
confidence: 99%
“…All the procedures for remote stations managing, raw data downloading, RINEX files generation and data quality control work automatically [Tammaro et al 2013].…”
Section: Data Recordingmentioning
confidence: 99%
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