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Iafolla, Lorenzo
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Iafolla, Lorenzo
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- PublicationRestrictedOS-IS® Sistema sismico per il monitoraggio e la previsione del moto ondoso(2014)
; ; ; ; ; ; ; ; ; ; ;Iafolla, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Carmisciano, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Fiorenza, E.; AGI srl ;Iafolla, V.; AGI srl ;Manzella, G.; ETT Solutions SpA ;Montani, L.; Autorità Portuale La Spezia ;Bencivenga, M.; Istituto Superiore per la Protezione e la Ricerca Ambientale ;Burlando, M.; Università di Genova - DICCA ;Solari, G.; Università di Genova - DICCA ;De Gaetano, P.; Università di Genova - DICCA; ; ; ; ; ; ; ; ; The European project “Wind, Ports, and Sea”, funded by the European Cross-border Programme “Italy–France Maritime 2007-2013”, aims to improve the safety conditions and to reduce the hazards by monitoring and forecasting the sea-state outside the main ports of the Northern Tyrrhenian and Ligurian Seas. The sea state forecast is done by using a numeric model specifically developed, while the used data are obtained by means of a monitoring system of stations installed in the coast of La Spezia harbor so to perform an inland remote monitoring. This remote monitoring system of the sea, called OSIS ® (Ocean Seismic - Integrated Solution), is a pilot project and will be presented in its main features. The main advantage of the OS-IS® is that it is installed inland and there are no parts in the sea. The key elements of the system are a high sensitivity accelerometers and apposite algorithms for the evaluation of the sea state using the micro-seismic signals on the basis of the mathematical models and the appropriate calibration factors. Actually, since the beginning of the 1900, is well known that the sea waves are sources of a microseismic noise and this phenomenon has been described with more and more precise models since the 1950 by Longuet-Higgins. The OS-IS® system used for "Wind, Ports and Sea" project is made of three micro-seismic stations installed near the La Spezia gulf: each accelerometric station is equipped with a weather station and a data logger that automatically transfers the data to a central server which runs the algorithm of the OS-IS®. In the following will be shortly described the installed systems focusing on its reliability and in the comparison with the traditional monitoring system using buoy. Finally the first measurements will be shown in comparison with those of the conventional method based on the buoys.384 94 - PublicationOpen AccessTemperature compensation in high accuracy accelerometers using multi-sensor and machine learning methods(2024)
; ; ; ; ; ; ; ; ; ; ; ; ;; ; ; ; ; ; ;; Temperature is a major source of inaccuracy in high-sensitivity accelerometers and gravimeters. Active thermal control systems require power and may not be ideal in some contexts such as airborne or spaceborne applications. We propose a solution that relies on multiple thermometers placed within the accelerometer to measure temperature and thermal gradient variations. Machine Learning algorithms are used to relate the temperatures to their effect on the accelerometer readings. However, obtaining labeled data for training these algorithms can be difficult. Therefore, we also developed a training platform capable of replicating temperature variations in a laboratory setting. Our experiments revealed that thermal gradients had a significant effect on accelerometer readings, emphasizing the importance of multiple thermometers. The proposed method was experimentally tested and revealed a great potential to be extended to other sources of inaccuracy, such as rotations, as well as to other types of measuring systems, such as magnetometers or gyroscopes.182 8 - PublicationOpen AccessOS-IS a new method for the sea waves monitoringThe European project “Wind, Ports, and Sea” (VPM), funded by the European Cross-border Programme “Italy-France Maritime 2007–2013”, aims to improve the safety conditions and to reduce the hazards by the development of a coupled monitoring and forecast system of the sea-state outside the main harbors of the Northern Tyrrhenian and Ligurian Seas. In particular, the sea and wind forecasts are evaluated by using a numerical model specifically implemented for this project and the monitoring system is made of measuring stations installed on the coast near the harbor areas. The Port Authority of La Spezia has implemented a pilot project based on a new method, called OS-IS (Ocean Seismic-Integrated Solution, [1]), for the inland remote monitoring of the sea. The key advantage of OS-IS is that is installed inland, inside a building, and there are no parts in the sea. The core elements of the system are high sensitivity accelerometers and specifically developed algorithms for the evaluation of the sea state using the micro-seismic signals on the basis of mathematical models and fitting calibration factors. After more than one year since the first installation, OS-IS has shown a high level of reliability and the validity of the measurements has been demonstrated by comparison with those of the buoys. In the following, the installed systems will be shortly described and compared with the conventional methods.
33 24 - PublicationOpen AccessComparison of Sea Wave Measurement Systems Based on Marine Radar and Microseismic TechnologiesSea state affects the coasts of all maritime regions, and it impacts anthropic infrastructures and influences the activities carried out in the sea as well as in its proximity. Sea-state monitoring is therefore important for a number of reasons, including the need to validate weather forecast models and study the impact of sea waves on anthropic infrastructures such as ports. In this letter, we combined the measurements of sea state collected with Ocean Seismic Integrated System (OS-IS), a seismic-based system developed by AGI (Assist in Gravitation and Instrumentation) srl and INGV (National Institute for Geophysics and Volcanology), with those obtained using a Wave Radar system. The aim was to prove that this combination could enhance the efficacy and reliability of sea monitoring, thanks to the complementarity of the two types of measurements in terms of area covered and spatial resolution. More specifically, the sea-state parameters provided by OS-IS were compared with those provided by a Wave Radar system. OS-IS data were collected from three microseismic stations installed near the Gulf of La Spezia, on the Ligurian Coast, whereas the Wave Radar system was installed at the center of the Cinque Terre National Park at about 12 km from the OS-IS system. The comparison between the measurements of significant wave height ( Hs ) and peak period ( Tp ) showed a good agreement, with a correlation index close to 0.9. The residual difference highlights the complementarity of the two systems and the potential of an integrated system that includes both. In particular, OS-IS provides measurements over large, offshore areas, whereas the Wave Radar System provides high spatial-resolution measurements over areas near the coast.
69 16 - PublicationOpen AccessGARGANO 2013 Misure idro-oceanografiche e accelerometriche con Nave ‘Palinuro’ nel promontorio del Gargano(2014)
; ; ; ; ; ; ; ; ; ; ; ; ;Carmisciano, C.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Batzu, I.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Biolcati, E.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Di Nezza, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Giardi, F.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Iafolla, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Lefevre, C.; AGI s.r.l. - Roma ;Roccella, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Panarello, M.; Marina Militare Italiana, Nave ‘Palinuro’ ;Locritani, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma2, Roma, Italia ;Italiano, F.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Palermo, Palermo, Italia ;Bruno, P.P.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia; ;; ; ; ; ; ; ; ; ; In questo lavoro viene descritta la campagna geofisica e idro-oceanografica ‘GARGANO2013’ effettuata grazie ad una collaborazione tra INGV e Marina Militare Italiana nell’ambito di un accordo di collaborazione denominato CONAGEM (Coordinamento Nazionale per la Geofisica Marina). Tale accordo, siglato nel 2005 fra i principali enti pubblici di ricerca che operano in mare, prevede infatti la possibilità di attuare congiuntamente campagne di ricerca marine condividendone dati e risultati. La campagna è stata organizzata con la finalità di raccogliere quanti più possibili elementi utili a caratterizzare l’area marina del Gargano sotto un profilo ambientale predisponendone un quadro di riferimento per successive attività di monitoraggio delle fenomenologie presenti nell’area di indagine. In quest’ottica, l’obiettivo prefissato era la mappatura di eventuali affioramenti di acque dolci in mare. Contestualmente, è stata eseguita la sperimentazione di prototipi strumentali per future applicazioni a bordo nave: in particolare, sono state eseguite misure di tipo accelerometrico al fine di caratterizzare le sollecitazioni dinamiche cui sono sottoposti gli strumenti a bordonave ottenendo così utili informazioni per lo sviluppo di nuove tecnologie quali piattaforme inerziali per uso scientifico e strumentazione per prospezioni gravimetriche da utilizzare su nave.494 544 - PublicationOpen AccessSea Wave Data Reconstruction Using Micro-Seismic Measurements and Machine Learning MethodsSea wave monitoring is key in many applications in oceanography such as the validation of weather and wave models. Conventional in situ solutions are based on moored buoys whose measurements are often recognized as a standard. However, being exposed to a harsh environment, they are not reliable, need frequent maintenance, and the datasets feature many gaps. To overcome the previous limitations, we propose a system including a buoy, a micro-seismic measuring station, and a machine learning algorithm. The working principle is based on measuring the micro-seismic signals generated by the sea waves. Thus, the machine learning algorithm will be trained to reconstruct the missing buoy data from the micro-seismic data. As the micro-seismic station can be installed indoor, it assures high reliability while the machine learning algorithm provides accurate reconstruction of the missing buoy data. In this work, we present the methods to process the data, develop and train the machine learning algorithm, and assess the reconstruction accuracy. As a case of study, we used experimental data collected in 2014 from the Northern Tyrrhenian Sea demonstrating that the data reconstruction can be done both for significant wave height and wave period. The proposed approach was inspired from Data Science, whose methods were the foundation for the new solutions presented in this work. For example, estimating the period of the sea waves, often not discussed in previous works, was relatively simple with machine learning. In conclusion, the experimental results demonstrated that the new system can overcome the reliability issues of the buoy keeping the same accuracy.
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