• 2024

  • Immagine di copertina del volume 484
    Abstract The larger amount of data made available today is one of the most important factors driving innovation but not the only one. In particular, standardization of data and metadata formats is widely considered an essential goal for the scientific community to pursue. This report presents how a new publicly available tool for organizing and formatting metadata for Ocean Bottom Seismometers (OBS), obsinfo, has been used to organize and format metadata for INGV OBS Lab OBS-B (https://www.ct.ingv.it/index.php/risorse-e-servizi/laboratori/325-laboratorio-obs) The OBS & Earth Lab, located at the Gibilmanna Geophysical Observatory near Cefalù (Palermo - ITALY), has as its main mission the design, construction and management of a fleet of underwater seismic instruments. The software, developed by RESIF (https://gitlab.com/resif/smm/obsinfo) breaking down the metadata into smaller and reusable pieces of information, speeds up the process of creating StationXML files for OBS and other kinds of geophysical instruments. Besides assembling a useful StationXML file for the OBS-B, the work done has confirmed that obsinfo can be a valuable tool for managing station metadata.
  • Immagine di copertina del volume 483
    È stato realizzato un modello tridimensionale del pianeta Terra per le attività di divulgazione scientifica svolte con studenti e pubblico generico con l’obiettivo di illustrare la struttura interna della Terra, restituendo in maniera diretta e tangibile le sue dimensioni in scala e rendendo così più efficace la descrizione e l’argomentazione dei fenomeni naturali che avvengono nel nostro pianeta. La progettazione e la realizzazione del modello sono state volutamente concepite seguendo l’idea del riciclo e riutilizzo dei materiali di scarto, che si ritiene debba assumere una sempre maggiore rilevanza in tutti i campi delle attività umane. Riciclare oggetti è il primo passo per educare i ragazzi al rispetto dell’ambiente ed è per questo motivo che la scelta è ricaduta su un approccio di progettazione sostenibile attraverso l’upcycling. Per upcycling si intende l’utilizzo di materiali di scarto per la creazione di nuovi oggetti di maggiore qualità rispetto al materiale originale, con l’obiettivo di prolungarne il ciclo di vita e di offrire benefici per l’ambiente che ci circonda. Grazie alla creatività di alcuni ricercatori e dei tecnici del Laboratorio di Officina Meccanica della Sezione di Palermo dell’Istituto Nazionale di Geofisica e Vulcanologia (INGV), e ricorrendo a un design intelligente, si è trasformato il materiale di scarto (in questo caso pannelli di polistirene espanso) per realizzare un prodotto nuovo, di qualità ed ecologico.
  • Immagine di copertina del volume 480
    The Strait of Messina area represents a scientific challenge of great importance for geophysics, geochemistry and, in general, for earth sciences, due to the close coexistence of different geodynamic regimes. Here are present tectonic systems able to generate energetic earthquakes, among the strongest of the entire Italian seismic catalogue and some of the most important active volcanoes. It is mandatory to consider it a natural laboratory in which to invest in research and monitoring infrastructures [Mattia et al., 2008; 2009]. It is also for this reason that the INGV has decided to set up a site in Messina where the data of a dense network of instruments and technical and research personnel can converge. The piezometric network, in particular, is a challenge within a challenge, since there is also an obligation for INGV to enhance and make operational an infrastructure acquired in 2015 when the company Stretto di Messina S.p.A. was wound up. This report shows methodologies and results of the revision of the network, acquired by INGV in order to assign it to the realization of a hydrogeochemical monitoring network, within the framework of WP05 “NEMESI” of the MEET project.
  • Immagine di copertina del volume 482
    In this paper, Seismic Data Quality (SDQ), a new application devoted to estimating the quality of the accelerometric and seismometric data recorded by the INGV National Seismic Network, is proposed. SDQ has been developed in Python with the main purpose of performing both: • a systematic compatibility comparison between the accelerometric and velocimeter data of sensors co‐located in correspondence with each seismo‐accelerometric recording site; • to assign to each recorded event waveforms a quality class. For the analyses, 230 multi‐parametric stations (i.e., equipped with both accelerometric and velocimeter channels) of the INGV National Seismic Network were considered. Data were acquired from January 2012 to March 2023 for a total of more than 15,000 event waveforms related to Italian earthquakes with local or moment magnitude (ML e/o MW) ≥ 3.5 and hypocentral distance (Ripo) ≤ 150 km. All data used in this report were downloaded from the EIDA Italy node through the use of INGV webservices [1]. The quality of the data recorded from each single RSN station was assessed both using individual waveform metadata (Peak Ground Acceleration, PGA; Peak Ground Velocity, PGV) and the similarity of the whole time series by cross‐correlation algorithms. For each waveform, it was also possible to assign a quality class from A (excellent quality) to D (data to be rejected) by analysing both the root mean square of the signal envelope and the energy content of the Fast Fourier spectrum. The resultsallow us to highlight which RSN stations show, at present, a correct operation and which, on the contrary, need verification aimed at determining the cause of the inconsistency between the co‐ located sensors.
  • Immagine di copertina del volume 481
    In the last decade, radon monitoring advanced with active techniques and a regional highfrequency network. The Italian Radon mOnitoring Network (IRON) started in 2010, growing from 19 to 136 stations. To handle the increasing data, a MySQL database was implemented in 2016, followed by advanced tools in 2019. This included a refined database, SQL procedures for automatic creation (preferring PostgreSQL), and MATLAB® procedures for data standardization. In this paper, the database’ structure and the procedures are described.
  • Immagine di copertina del volume 479
    In 2018 the project FOCUS - Fiber Optic Cable Use For Seafloor Studies Of Earthquake - started coordinated by Marc-André Gutscher from the Laboratoire Géosciences Océan at the University of Brest, France. This project investigates the seismicity and the crustal structure of the Ionian Sea through the analysis and interpretation of data collected by underwater instrumentation and by monitoring networks either available or specifically deployed near the coast. In this context, the Osservatorio Nazionale Terremoti (ONT) and the Osservatorio Etneo (OE) of the Istituto Nazionale di Geofisica e Vulcanologia (INGV) and the Laboratorio di Sismologia of the University of Calabria (UniCal), contributed to the installation of a temporary seismic network to integrate the permanent networks present in the Strait of Messina region and along the Sicilian-Calabrian Ionian coast. The new network, consisting of 13 stations, acquired data from December 2021 to June 2023. In January 2022, the international partners of FOCUS project installed a temporary network of OBS seismometers and seabed pressure sensors. The integration of all these data is aimed to obtain the recording and localization of earthquakes in the Ionian Sea, with a detail never achieved in terms of small magnitudes and accuracy of the locations. The institutions involved in the project collaborate on data acquisition and processing, the imaging of the Earth’s interior with advanced techniques, data interpretation, and modeling. The large amount of data collected will improve seismic monitoring and knowledge relating to the Earth's structure of the investigated area with particular attention to seismogenic structures. This work describes the design, installation and management of the temporary network "FXland" and provides information related to its functioning and the characteristics of the acquired dataset.
  • Immagine di copertina del volume 478
    Exist­fdsn­station is an open source software that implements the standard fdsnws/station web service, integrating the application into a native XML database containing seismic stations metadata in the StationXML file format. Through its HTTP Application Programming Interface, extended with the PUT method for writing, this software can be used as a RESTful microservice. The software is publicly available and licensed under a General Public License. This manual describes all the operational phases, from installation to distribution in a production environment, for using exist­fdsn­station to store a set of StationXML files and exposing them efficiently with a standard fdsnws/station webservice.
  • Immagine di copertina del volume 477
    The behaviour of the ground surface and of structures subjected to earthquakes can be estimated analysing the accelerograms of seismic records. The ground motion is strongly dependent on several factors and the ability to record, characterize and extract the main features of waveforms is essential to better understand these dependencies. One of the most difficult steps of this analysis is the waveforms’ processing. Its purpose is the estimation and the removal of noise in the records, to evaluate reliable ground motion. In this framework a processing tool fully integrated within the Engineering Strong Motion (ESM) database was designed [Paolucci et al., 2011; Luzi et al., 2016]. In the last decade the number of waveforms is sharply increased and so is the time it takes to process them. To solve this issue a possible solution is to broaden the number of qualified people involved in the processing. The main aim of this tutorial is to teach the largest number of people how to use the ESM processing tool and to provide some important guidelines for the thresholds of the parameters to set. In the text a step­by­step processing routine is depicted with a description of the purpose for each parameter. In addition, a suite of explanatory examples with peculiar situations is given.