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  • 2020-2023  (5)
  • 2015-2019
  • 1995-1999
  • 1965-1969
  • 2022  (5)
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Years
  • 2020-2023  (5)
  • 2015-2019
  • 1995-1999
  • 1965-1969
  • 2020-2024  (28)
Year
  • 1
    Publication Date: 2022-01-03
    Description: The increase of available seismic data prompts the need for automatic processing procedures to fully exploit them. A good example is aftershock sequences recorded by temporary seismic networks, whose thorough analysis is challenging because of the high seismicity rate and station density. Here, we test the performance of two recent Deep Learning algorithms, the Generalized Phase Detection and Earthquake Transformer, for automatic seismic phases identification. We use data from the December 2019 Mugello basin (Northern Apennines, Italy) swarm, recorded on 13 permanent and nine temporary stations, applying these automatic procedures under different network configurations. As a benchmark, we use a catalog of 279 manually repicked earthquakes reported by the Italian National Seismic Network. Due to the ability of deep learning techniques to identify earthquakes under poor signal-to-noise-ratio (SNR) conditions, we obtain: (a) a factor 3 increase in the number of locations with respect to INGV bulletin and (b) a factor 4 increase when stations from the temporary network are added. Comparison between deep learning and manually picked arrival times shows a mean difference of 0.02–0.04 s and a variance in the range 0.02–0.07 s. The improvement in magnitude completeness is ∼0.5 units. The deep learning algorithms were originally trained using data sets from different regions of the world: our results indicate that these can be successfully applied in our case, without any significant modification. Deep learning algorithms are efficient and accurate tools for data reprocessing in order to better understand the space-time evolution of earthquake sequences.
    Description: Published
    Description: e2021JB023405
    Description: 4T. Sismicità dell'Italia
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2022-07-05
    Description: In this work we present and discuss new geodetic velocity and strain-rate fields for the Euro-Mediterranean region obtained from the analysis of continuous GNSS stations. We describe the procedures and methods adopted to analyze raw GPS observations from 〉4000 stations operating in the Euro-Mediterranean, Eurasian and African regions. The goal of this massive analysis is the monitoring of Earth’s crust deformation in response to tectonic processes, including plate- and micro-plate kinematics, geodynamics, active tectonics, earthquake-cycle, but also the study of a wide range of geophysical processes, natural and anthropogenic subsidence, sea-level changes, and hydrology. We describe the computational infrastructure, the methods and procedures adopted to obtain a threedimensional GPS velocity field, which is used to obtain spatial velocity gradients and horizontal strain-rates. We then focus on the Euro-Mediterranean region, where we discuss the horizontal and vertical velocities, and spatial velocity gradients, obtained from stations that have time-series lengths longer than 6 and 7 years, which are found to be the minimum spans to provide stable and reliable velocity estimates in the horizontal and vertical components, respectively. We compute the horizontal strain-rate field and discuss deformation patterns and kinematics along the major seismogenic belts of the Nubia-Eurasia plate boundary zone in the Mediterranean region. The distribution and density of continuous GNSS stations in our geodetic solution allow us to estimate the strain-rate field at a spatial scale of ~27 km over a large part of southern Europe, with the exclusion of the Dinaric mountains and Balkans.
    Description: The GNSS data analysis center described in this work is realized and maintained by different founding resources and projects, including EPOS-MIUR, the Department of Italian Civil Protection and Istituto Nazionale di Geofisica e Vulcanologia agreement (Annex A), Programma Operativo Nazionale (PON) GRINT, ILG Minerbio, MISE DGISSEGINGV 2020 agreement, Med-MFC. FP is supported by the project MUSE, funded by the Istituto Nazionale di Geofisica e Vulcanologia (INGV), within which the re-analysis discussed in this work has been developed.
    Description: Published
    Description: 907897
    Description: 2T. Deformazione crostale attiva
    Description: JCR Journal
    Keywords: GNSS data processing ; time series analysis ; horizontal strain rates ; vertical ground velocities ; Euro- Mediterranean region
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
    Publication Date: 2022-06-20
    Description: Commonly sea level variations are monitored by tide gages that measure the relative sea level (RSL) with respect to a local reference on land. RSL measurements are a combination of the global sea level variation and the local vertical land motion. Larson et al.,2012 developed the interferometric reflectometry technique (GNSS-IR) and demonstrate that sea surface height can be monitored at the level of a few centimeters using a single GNSS antenna facing the seashore. In that case, the local reference point matches with the antenna mount that can be monitored directly in a global reference frame. Thus the GNSS-IR technique allow to monitor the global Sea-level directly from a single measurement. We discuss the results obtained for a few Sea-level time series obtained from existing GNSS permanent stations in the Mediterranean area. We analyse the spectral content of tidal components and examine the origin of spurious signals observed in the periodograms, due to satellite-driven aliasing effects.
    Description: Unpublished
    Description: Politecnico di Milano
    Description: 7A. Geofisica per il monitoraggio ambientale
    Keywords: GNSS ; SEA LEVEL ; GNSS-IR
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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  • 4
    Publication Date: 2022-12-01
    Description: We present a web portal for the prompt visualization of the maps of ground shaking generated using the USGS ShakeMap 4 software (Worden et al., 2020). The web interface renders the standard products provided by ShakeMap dynamically (using Leaflet) and statically (standard shakemaps). The information included in the dynamic maps can be onfigured through different overlays. The dual view rendering modality allows presenting side-by-side maps of different intensity measurements. In addition, for each earthquake, it is possible to download all the data that contributed to the calculation, together with information on the seismological models adopted. The appearance of the web portal is easily configurable by replacing the logo and banners. The software can be installed both on laptops and on server computers. The user can opt between the docker image or installation of the software after installation of a web server (e.g., NGINX or Apache).
    Description: Published
    Description: 3481–3488
    Description: 8T. Sismologia in tempo reale e Early Warning Sismico e da Tsunami
    Description: JCR Journal
    Keywords: shaking ; intensity ; macroseismic ; impact ; terremoto ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
    Publication Date: 2022-12-01
    Description: The Global Navigation Satellite System (GNSS) represents a primary data source in Solid Earth Sciences. In order to investigate the Earth’s crustal deformation, time series of the estimated daily positions of the stations are routinely analyzed at the Istituto Nazionale di Geofisica e Vulcanologia (INGV) to investigate the deformation of the Earth’s surface caused by tectonic and non-tectonic processes. The GNSS observations of the stations are processed using the three main scientific software: GAMIT/GLOBK, BERNESE, and GIPSY OASIS II. The accuracy and the strength of geodetic solutions often depend on the geometry and spatial density of the network, and the availability and quality of GNSS data. In many circumstances, GNSS networks are deployed for topographic purposes by private or public institutions, and a significant number of GNSS stations in large regions acquire continuous observations. It may happen that such networks do not collect and distribute data according to IGS standards, so it could be difficult to analyze this data using automated data-processing tools. For that reason, this data is often ignored or partially used by the scientific community, despite their potential usefulness in geodynamic studies. We have attempted troubleshooting this problem by establishing a centralized storage facility in order to collect all available GNSS data and standardize both formats and metadata information. Here we describe the processes and functions that manage this unified repository, called MGA (Mediterranean GNSS Archive), which regularly collects GNSS RINEX files from alarge number of CORS (Continuously Operating Reference Station) located across a wide region of mainly the European and African plates. RINEX observation data and metadata information are provided to the analysts through an FTP server and dedicated web-services. The complete data set is stored in a PostgreSQL database in order to easily retrieve pieces of information and efficiently manage the archive content. The system implements many high-level services that include scripts to download files from remote archives and to detect new available data, web applications such as API (Application Program Interface) to interact with the system, and background services that interact with the database. During the development of this product, particular attention was paid to what has already been achieved by EPOS TCS WP10, whose objective was: "[...] to develop an open source platform with programmatic and web interfaces to store and disseminate raw data and metadata from GNSS stations operating in Europe''. Many ideas and tools presented here were inspired by that project.
    Description: Published
    Description: 1-18
    Description: 2T. Deformazione crostale attiva
    Description: 1IT. Reti di monitoraggio e sorveglianza
    Description: 4IT. Banche dati
    Description: N/A or not JCR
    Keywords: RINEX ; GNSS ARCHIVE ; GNSS MEDITERRANEAN AREA ; 04.03. Geodesy
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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