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  • 1
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    In:  Journal of Earthquake Engineering, Washington, D.C., American Geophysical Union, vol. 7, no. 4, pp. 599-614, pp. L08304, (ISSN: 1340-4202)
    Publication Date: 2003
    Keywords: Site amplification ; Earthquake ; Earthquake engineering, engineering seismology ; JEE ; SPAROLAI ; SRICHWALSKI
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  • 2
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    In:  Geophys. Res. Lett., Philadelphia, 4, vol. 32, no. 1, pp. 1096-1108, pp. L01303, (ISSN: 1340-4202)
    Publication Date: 2005
    Keywords: Shear waves ; Velocity depth profile ; Site amplification ; NOISE ; Micro-tremor (seismic noise) ; Horizontal to vertical spectral ratio ; Nakamura ; Inversion ; Dispersion ; micro-zonation ; GRL ; 0902 ; Exploration ; Geophysics: ; Computational ; methods: ; seismic ; 7212 ; Seismology: ; Earthquake ; ground ; motions ; and ; engineering ; seismology ; 7223 ; Earthquake ; interaction, ; forecasting, ; and ; prediction ; (1217, ; 1242) ; 7255 ; Seismology: ; Surface ; waves ; and ; free ; oscillations ; SPAROLAI ; SRICHWALSKI
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  • 3
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    In:  Geophys. Res. Lett., Darmstadt, Wissenschaftliche Buchgesellschaft, vol. 32, no. 11, pp. 2023, pp. L11308, (ISSN: 1340-4202)
    Publication Date: 2005
    Description: A joint inversion of phase velocity and H/V ratio curves, both obtained from seismic-noise recordings, permits the retrieval of the shear-wave velocity structure of local sedimentary cover. Our inversion scheme uses a genetic algorithm and considers the influence of higher modes on the data sets. Encouraged by the results published previously on joint inversion (Parolai et al., 2005) we went one step further. We found, using a synthetic data set, that the impedance contrast at the sediment-bedrock interface has a strong influence on the shape of the H/V ratio curve, which therefore allows the bedrock S-wave velocity to be well constrained in the joint-inversion procedure. Our observations were further confirmed using a real data set.
    Keywords: Site amplification ; Horizontal to vertical spectral ratio ; Dispersion ; Micro-tremor (seismic noise) ; Shear waves ; Velocity ; Velocity depth profile ; GRL ; 0902 ; Exploration ; Geophysics: ; Computational ; methods: ; seismic ; 7212 ; Seismology: ; Earthquake ; ground ; motions ; and ; engineering ; seismology ; 7255 ; Surface ; waves ; and ; free ; oscillations
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  • 4
    Publication Date: 2015-10-11
    Description: Earthquake Early Warning Systems (EEWS) are potentially effective tools for risk mitigation in active seismic regions. The present study explores the possibility of predicting the macroseismic intensity within EEW timeframes using the squared velocity integral (IV2) measured on the early P-wave signals, a proxy for the P-wave radiated energy of earthquakes. This study shows that IV2 correlates better than the peak displacement measured on P-waves (PD) with both the peak ground velocity and the Housner Intensity, with the latter being recognized by engineers as a reliable proxy for damage assessment. Therefore, using the strong motion recordings of the ITalian ACcelerometric Archive (ITACA 2.0), a novel relationship between the parameter IV2 and the macroseismic intensity (IM) has been derived. The validity of this relationship has been assessed using the strong motion recordings of the INGV Strong Motion Data and ‘ Osservatorio Sismico delle Strutture ’ databases, as well as, in the case of the M W 6 May 29 th 2012 Emilia Earthquake (Italy), comparing the predicted intensities with the ones observed after a macroseismic survey. Our results indicate that P-wave IV2 can become a key parameter for the design of on-site EEWS, capable of proving real-time predictions of the IM at target sites.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 5
    Publication Date: 2015-02-11
    Description: When accompanied by appropriate training and preparedness of a population, Earthquake Early Warning Systems (EEWS) are effective and viable tools for the real-time reduction of societal exposure to seismic events in metropolitan areas. The Italian Accelerometric Network, RAN, which consists of about five hundred stations installed over all the active seismic zones, as well as many cities and strategic infrastructures in Italy, has the potential to serve as a nation-wide early warning system. In this work, we present a feasibility study for a nation-wide EEWS in Italy obtained by the integration of the RAN and the software platform PRESTo (Satriano et al., 2011). The performance of the RAN-PRESTo EEWS is first assessed by testing it on real strong motion recordings of forty of the largest earthquakes that have occurred during the last ten years in Italy. Furthermore, we extend the analysis to regions that did not experience earthquakes by considering a nation-wide grid of synthetic sources capable of generating Gutenberg-Richter sequences corresponding to the one adopted by the seismic hazard map of the Italian territory. Our results indicate that the RAN-PRESTo EEWS could theoretically provide for higher seismic hazard areas reliable alert messages within about 5 to 10 seconds and maximum lead-times of about 25 seconds. In case of large events (M 〉 6.5), this amount of lead-time would be sufficient for taking basic protective measures (e.g. duck and cover, move away from windows or equipment) in tens to hundreds municipalities affected by large ground shaking.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 6
    Publication Date: 2014-06-04
    Description: Article Being able to predict the final size of an earthquake while rupture is ongoing is a largely debated scientific problem. Here, the authors suggest that the evolution of P-wave peak displacement holds information regarding the early stage of the rupture process and may be a proxy for the final size of the event. Nature Communications doi: 10.1038/ncomms4958 Authors: S. Colombelli, A. Zollo, G. Festa, M. Picozzi
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 7
    Publication Date: 2017-02-11
    Description: An Earthquake Early Warning (EEW) system is a real-time seismic monitoring infrastructure that has the capability to provide warnings to target cities before the arrival of the strongest shaking waves. In order to provide a rapid alert when targets are very close to the epicenter of the events, we developed an on-site EEW approach and evaluated its performance at the Italian national scale. The system is a P-wave based method that measures in real-time two parameters: the initial Peak Displacement ( Pd ) and the average period ( τ c ). As output, the system provides the predicted ground shaking intensity at the monitored site, the alert level and a qualitative classification of both earthquake magnitude and source-to-receiver distance. We applied the on-site EEW methodology to a dataset of Italian earthquakes, with magnitude ranging from 3.8 to 6, and evaluated the performance of the system in terms of correct warning and lead-times (i.e., time available for security actions at the target). The results of this retrospective analysis show that, for the large majority of the analyzed cases, the method is able to deliver a correct warning shortly after the P-wave detection, with more than 80% of successful intensity predictions at the target site. The lead-times increase with distance, with a value of 8-10 seconds at 50 km and 15-18 seconds at 100 km.
    Print ISSN: 0148-0227
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 8
    Publication Date: 2019
    Description: 〈span〉〈div〉SUMMARY〈/div〉Microseismic monitoring is a primary tool for understanding and tracking the progress of mechanical processes occurring in active rock fracture systems. In geothermal or hydrocarbon fields or along seismogenic fault systems, the detection and location of microseismicity facilitates resolution of the fracture system geometry and the investigation of the interaction between fluids and rocks, in response of stress field perturbations. Seismic monitoring aims to detect locate and characterize seismic sources. The detection of weak signals is often achieved at the cost of increasing the number of false detections, related to transient signals generated by a range of noise sources, or related to instrumental problems, ambient conditions or human activity that often affect seismic records. A variety of fast and automated methods has been recently proposed to detect and locate microseismicity based on the coherent detection of signal anomalies, such as increase in amplitude or coherent polarization, at dense seismic networks. While these methods proved to be very powerful to detect weak events and to reduce the magnitude of completeness, a major problem remains to discriminate among weak seismic signals produced by microseismicity and false detections. In this work, the microseimic data recorded along the Irpinia fault zone (Southern Apennines, Italy) are analysed to detect weak, natural earthquakes using one of such automated, migration-based, method. We propose a new method for the automatic discrimination of real vs false detections, which is based on empirical data and information about the detectability (i.e. detection capability) of the seismic network. Our approach allows obtaining high performances in detecting earthquakes without requiring a visual inspection of the seismic signals and minimizing analyst intervention. The proposed methodology is automated, self-updating and can be tuned at different success rates.〈/span〉
    Print ISSN: 2051-1965
    Electronic ISSN: 1365-246X
    Topics: Geosciences
    Published by Oxford University Press on behalf of The Deutsche Geophysikalische Gesellschaft (DGG) and the Royal Astronomical Society (RAS).
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  • 9
    Publication Date: 2011-04-01
    Description: Structural health monitoring (SHM) aims to improve knowledge of the safety and maintainability of civil structures. The usage of recording systems exploiting wireless communication technology is particularly suitable for SHM, especially for rapid response following earthquakes. In this study, both of these issues are combined, and we report on the application of seismic interferometry to SHM using a dataset of seven earthquakes collected using a novel wireless system of accelerometers during the L'Aquila, Italy, seismic sequence in 2009. We show that interferometric analysis allows the estimation of the shear-wave velocity of seismic phases propagating throughout a structure, and, most important for SHM purposes, allows the monitoring of the velocity variations during the aftershock sequence. Moreover, innovatively we apply the S transform to the building response functions retrieved by interferometry to estimate the fundamental resonance frequency and the quality factor Q.
    Print ISSN: 0037-1106
    Electronic ISSN: 1943-3573
    Topics: Geosciences , Physics
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  • 10
    Publication Date: 2019
    Description: 〈span〉〈div〉Abstract〈/div〉We derive a set of regional ground‐motion prediction equations (GMPEs) in the Fourier amplitude spectra (FAS‐GMPE) and in the spectral acceleration (SA‐GMPE) domains for the purpose of interpreting the between‐event residuals in terms of source parameter variability. We analyze a dataset of about 65,000 recordings generated by 1400 earthquakes (moment magnitude 2.5≤Mw≤6.5, hypocentral distance Rhypo≤150  km) that occurred in central Italy between January 2008 and October 2017. In a companion article (〈a href="https://pubs.geoscienceworld.org/bssa#rf12"〉Bindi, Spallarossa, 〈span〉et al.〈/span〉, 2018〈/a〉), the nonparametric acceleration source spectra were interpreted in terms of ω‐square models modified to account for deviations from a high‐frequency flat plateau through a parameter named ksource. Here, the GMPEs are derived considering the moment (Mw), the local (ML), and the energy (Me) magnitude scales, and the between‐event residuals are computed as random effects. We show that the between‐event residuals for the FAS‐GMPE implementing Mw are correlated with stress drop, with correlation coefficients increasing with increasing frequency up to about 10 Hz. Contrariwise, the correlation is weak for the FAS‐GMPEs implementing ML and Me, in particular between 2 and 5 Hz, where most of the corner frequencies lie. At higher frequencies, all models show a strong correlation with ksource. The correlation with the source parameters reflects in a different behavior of the standard deviation τ of the between‐event residuals with frequency. Although τ is smaller for the FAS‐GMPE using Mw below 1.5 Hz, at higher frequencies, the model implementing either ML or Me shows smaller values, with a reduction of about 30% at 3 Hz (i.e., from 0.3 for Mw to 0.1 for ML). We conclude that considering magnitude scales informative for the stress‐drop variability allows to reduce the between‐event variability with a significant impact on the hazard assessment, in particular for studies in which the ergodic assumption on site is removed.〈/span〉
    Print ISSN: 0037-1106
    Electronic ISSN: 1943-3573
    Topics: Geosciences , Physics
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