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  • 05.04. Instrumentation and techniques of general interest  (5)
  • INGV  (4)
  • Oxford University Press  (1)
  • Molecular Diversity Preservation International
  • 2020-2023  (5)
  • 1
    Publication Date: 2022-03-16
    Description: Mobile network routers in seismic and volcanic surveillance
    Description: Published
    Description: 1-36
    Description: 1IT. Reti di monitoraggio e sorveglianza
    Description: N/A or not JCR
    Keywords: mobile ; router ; cellulare ; sourveillance ; router ; sorveglianza ; 05.04. Instrumentation and techniques of general interest ; 04.08. Volcanology ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2021-11-29
    Description: PGS1 is a new compact portable seismic station, designed at INGV OBS and Earth Lab, that is specifically intended for the deployment of dense arrays of seismographs on-shore. With its low cost, compact design, high data-quality and long battery life, PGS1 is a perfect solution for seismic monitoring networks. PGS1 design is based on a solid polypropylene suitcase, containing a complete data acquisition system, two battery packs and a photovoltaic panel. The new Earth Lab 5s medium-period seismic sensor is included. The whole system meets the IP67 standard requirements both in transport and in acquisition configuration. PGS1 is normally equipped with one battery pack, one more pack can be added inside the suitcase achieving 40 days of battery life. The station is equipped with a photovoltaic panel, useful to extend the deployment length. Inside the suitcase, there are compartments where to store the seismic sensor, the photovoltaic panel and all the cables. Therefore, the station is very easy to transport.
    Description: Published
    Description: SE105
    Description: 1IT. Reti di monitoraggio e sorveglianza
    Description: JCR Journal
    Keywords: Portable seismic station ; sesimic monitoring network ; PGS1 ; ETL3D/5s ; 05.04. Instrumentation and techniques of general interest
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
    Publication Date: 2022-08-26
    Description: This article has been accepted for publication in Geophysical Journal International ©: The Authors 2022. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved. Uploaded in accordance with the publisher's self-archiving policy.
    Description: Defining the regional variability of minimum magnitude for earthquake detection is crucial for planning seismic networks. Knowing the earthquake detection magnitude values is fundamental for the optimal location of new stations and to select the priority for reactivating the stations of a seismic network in case of a breakdown. In general, the assessment of earthquake detection is performed by analysing seismic noise with spectral or more sophisticated methods. Further, to simulate amplitude values at the recording sites, spectral methods require knowledge of several geophysical parameters including rock density, S-wave velocity, corner frequency, quality factor, site specific decay parameter and so on, as well as a velocity model for the Earth's interior. The simulation results are generally expressed in terms of Mw and therefore a further conversion must be done to obtain the values of local magnitude (ML), which is the parameter commonly used for moderate and small earthquakes in seismic catalogues. Here, the relationship utilized by a seismic network to determine ML is directly applied to obtain the expected amplitude [in mm, as if it were recorded by a Wood–Anderson (WA) seismometer] at the recording site, without any additional assumptions. The station detection estimates are obtained by simply considering the ratio of the expected amplitude with respect to the background noise, also measured in mm. The seismic noise level for the station is estimated starting from four waveforms (each signal lasting 1 min) sampled at various times of the day for a period of one week. The proposed method is tested on Italian seismic events occurring in 2019 by using the locations of 16.879 earthquakes recorded by 374 stations. The first results indicate that by evaluating the station noise level with 5-s windows, a representative sample of the variability in expected noise level is generated for every station, even if only 4 min of signal per day over a week of recordings is used. The method was applied to define the detection level of the Italian National Seismic Network (RSN). The RSN detection level represents a reference for the definition and application of guidelines in the field of monitoring of subsurface industrial activities in Italy. The proposed approach can be successfully applied to define the current performance of a local seismic network (managed by private companies) and to estimate the expected further improvements, requested to fulfil the guidelines with the installation of new seismic stations. This method has been tested in Italy and can be reproduced wherever the local magnitude ML, based on synthetic WA records, is used.
    Description: Published
    Description: 1283–1297
    Description: 4T. Sismicità dell'Italia
    Description: JCR Journal
    Keywords: Time-series analysis ; Earthquake ground motions ; Seismic noise ; Induced seismicity ; 04.06. Seismology ; 05.04. Instrumentation and techniques of general interest
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
    Publication Date: 2022-12-01
    Description: SISMIKO è uno dei Gruppi Operativi di emergenza sismica dell’Istituto Nazionale di Geofisica e Vulcanologia (INGV) con la principale missione di installare, nel più breve tempo possibile, una rete sismica temporanea in tempo reale ad integrazione di quella permanente nell’area colpita da un forte terremoto e/o da una sequenza sismica [Moretti et al., 2012; 2016]. SISMIKO nasce formalmente nel 2015 ed è il frutto della convergenza di reti sismiche mobili gestite da diversi gruppi all’interno delle singole Sezioni e sedi dell’Ente. Ognuna di queste reti risente della propria storia, risponde ad esigenze territoriali diverse ed è caratterizzata da vari gradi di coinvolgimento nella gestione della Rete Sismica Nazionale (RSN) [Michelini et al., 2016; Margheriti et al., 2020]. Questa eterogeneità si riflette anche in differenze nel sistema di acquisizione dati delle stazioni gestite dal GO. Grazie ad una attenta predisposizione e configurazione della propria strumentazione, oggi SISMIKO ha la possibilità e le competenze per integrare in poche ore una rete temporanea trasmessa in tempo reale nel sistema di acquisizione dati sismologici attivo presso la sede INGV di Roma, contribuendo in maniera significativa al servizio di monitoraggio e sorveglianza sismica del territorio colpito dall’emergenza [Margheriti et al., 2020]. Nel corso del 2020, facendo seguito al piano di rinnovo e omogeneizzazione del parco strumentale dedicato GO avviato nel 2019 (co­finanziato nell’ambito della Convenzione tra INGV e il Dipartimento di Protezione Civile vigente), è stato deciso di sviluppare un sistema di acquisizione dati in tempo reale unificato per tutte le stazioni di SISMIKO, indipendente dalle singole sedi di appartenenza. Questa nuova logica ha diversi vantaggi, e in primis quello di rendere possibile il completo interscambio del personale presso le varie sedi INGV nella gestione dell’acquisizione dati, aspetto fondamentale durante una emergenza.
    Description: Published
    Description: 1-26
    Description: 2SR TERREMOTI - Gestione delle emergenze sismiche e da maremoto
    Description: N/A or not JCR
    Keywords: SISMIKO ; Seiscomp. RTPD ; Acquisition system ; Realtime seismology ; 05.04. Instrumentation and techniques of general interest
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
    Publication Date: 2022-11-09
    Description: In recent decades, geological modeling has significantly evolved, relying on the growing potential of hardware and software to manage and integrate vast datasets of 2D-3D geophysical underground data. Therefore, digitization and integration with other forms of data can often improve understanding of geological systems, even when using so-called vintage or historical data. Seismic reflection data have been extensively acquired mainly for hydrocarbon exploration since the 60s generating large volumes of data. Typically, these data have been for private commercial use and are relatively unavailable for research. However, with time, large volumes of vintage seismic reflection data in many countries worldwide are now becoming publicly available through time-based de-classification schemes. Such data have a great potential for modern-day geo-research, unleashing opportunities to improve geological understanding through re-interpretation with modern methods. However, a downside of these vintage data is that they are often only available in analog (paper, raster) format. The vectorization of these data then constitutes an essential step for unlocking their research potential. In 2018 INGV established the SISMOLAB-3D infrastructure, which is mainly devoted to analyzing digital subsurface data, such as seismic reflection profiles and well-logs, to build 2D-3D geological models, principally for seismotectonics, seismic hazard assessment, and geo-resources applications. In this contribution, we discuss the robustness of the WIGGLE2SEGY code, firstly published by Sopher in 2018, focusing on examples from different tectonic and geodynamic contexts within Italian territory. We applied the SEG-Y conversion method to onshore and offshore raster seismic profiles related to ceased exploration permits, comparing the results with other published archives of SEG-Y data obtained from the conversion of vintage data. Such an approach results in digital SEG-Y files with unprecedented quality and detail. The systematic application of this method will allow the construction of a comprehensive dataset of digital SEG-Y seismic profiles across Italy, thereby expanding and sharing the INGV SISMOLAB-3D portfolio with the scientific community to foster innovative and advanced scientific analysis.
    Description: Published
    Description: DM538
    Description: 1TR. Georisorse
    Description: 2TR. Ricostruzione e modellazione della struttura crostale
    Description: 2IT. Laboratori analitici e sperimentali
    Description: JCR Journal
    Keywords: Vectorization of vintage seismic profiles into SEG-Y ; WIGGLE2SEGY MATLAB-based code ; Seismic profiles digital database ; Italian territory ; 2D/3D geological models ; 04.02. Exploration geophysics ; 05.06. Methods ; 05.04. Instrumentation and techniques of general interest
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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