A Complete Automatic Procedure to Compile Reliable Seismic Catalogs and Travel‐Time and Strong‐Motion Parameters Datasets

Scafidi, Davide; Spallarossa, Daniele; Ferretti, Gabriele; Barani, Simone; Castello, Barbara; Margheriti, Lucia

doi:10.1785/0220180257

Cited by 9 publications

(11 citation statements)

References 14 publications

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“…(2014) and Scafidi et al. (2019), P and S onsets are detected, event locations and local magnitudes are estimated, and features related to M 0 and E S are extracted from recordings. Uncertainties in event location are mostly within 1 km both horizontally and vertically (Figure S1 in Supporting Information ).…”

Section: Datamentioning

confidence: 99%

“…In this study, we consider the period from the 1st January 2005 to the 31st December 2009. Following the automatic procedure described in Spallarossa et al (2014) and Scafidi et al (2019), P and S onsets are detected, event locations and local magnitudes are estimated, and features related to M 0 and E S are extracted from recordings. Uncertainties in event location are mostly within 1 km both horizontally and vertically (Figure S1 in Supporting Information S1).…”

Section: Datamentioning

confidence: 99%

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Temporal Evolution of Radiated Energy to Seismic Moment Scaling During the Preparatory Phase of the Mw 6.1, 2009 L’Aquila Earthquake (Italy)

Picozzi

Spallarossa

Iaccarino

et al. 2022

Geophysical Research Letters

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We investigate the preparatory phase of the 2009, Mw 6.1 L’Aquila earthquake in central Italy by analyzing the temporal evolution and spatial distribution of the seismic moment, M0, to radiated energy, ES. Our approach focuses on monitoring the deviations of the scaling between M0 and ES with respect to a model calibrated for the background seismicity. The temporal evolution of these deviations, defined as Energy Index (EI), identifies the onset of the activation phase 1 week before the mainshock. We show that foreshocks are characterized by a progressive increase in slip per unit stress, in agreement with the diffusion of highly pressurized fluids before the L’Aquila earthquake proposed by previous studies. Our results suggest that the largest events occur where energy index (EI) is highest, in agreement with the existing link between energy index (EI) and the mean loading stress.

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Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Temporal Evolution of Radiated Energy to Seismic Moment Scaling During the Preparatory Phase of the Mw 6.1, 2009 L’Aquila Earthquake (Italy)

Picozzi

Spallarossa

Iaccarino

et al. 2022

Geophysical Research Letters

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“…One entire year of seismic activity reconstructed with the information derived from all the 155 permanent and temporary (stand-alone) stations installed soon after the first (Amatrice) mainshock of the sequence by both INGV mobile network pool, the British Geological Survey and Edinburgh University. Event detection, P- and S-wave arrival times and maximum amplitudes to be used for local magnitude computation, were automatically estimated using a combination of the Complete Automatic Seismic Processor (CASP 40 ) and RSNI-Picker2 procedures 41 , 42 . Arrival time residuals were minimized using the grid search program NonLinLoc 35 together with a 1D velocity model with homogeneous layers (after De Luca et al .…”

Section: Methodsmentioning

confidence: 99%

“…For generating the catalogues, the IpoP code 31 , 32 , the Complete Automatic Seismic Processor (CASP 40 ) and RSNI-Picker2 41 , 42 are available upon request. All of the other codes are all open access: NonLinLoc software 35 used for CAT1 and CAT3; HypoDD 36 , 38 for CAT2, CAT4 and CAT5; PhaseNet picker 14 , (REAL) package 48 , Velest code 49 and HypoInverse software 50 used for generating the dataset of CAT5.…”

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confidence: 99%

A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence

et al. 2022

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The protracted nature of the 2016-2017 central Italy seismic sequence, with multiple damaging earthquakes spaced over months, presented serious challenges for the duty seismologists and emergency managers as they assimilated the growing sequence to advise the local population. Uncertainty concerning where and when it was safe to occupy vulnerable structures highlighted the need for timely delivery of scientifically based understanding of the evolving hazard and risk. Seismic hazard assessment during complex sequences depends critically on up-to-date earthquake catalogues—i.e., data on locations, magnitudes, and activity of earthquakes—to characterize the ongoing seismicity and fuel earthquake forecasting models. Here we document six earthquake catalogues of this sequence that were developed using a variety of methods. The catalogues possess different levels of resolution and completeness resulting from progressive enhancements in the data availability, detection sensitivity, and hypocentral location accuracy. The catalogues range from real-time to advanced machine-learning procedures and highlight both the promises as well as the challenges of implementing advanced workflows in an operational environment.

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“…The comprehensive study of microseismicity can provide a valuable description of the geological medium properties and earthquake related processes in the investigated crustal volumes, such as for instance the identification and geometrical characterization of active fault structures (Shearer, 2002;Hauksson and Shearer, 2005;Lin et al, 2007;De Landro et al, 2015;Adinolfi et al, 2019;Battimelli et al, 2019;Adinolfi et al, 2022), the study of the regional stress field (De Matteis et al, 2012;Terakawa, 2017;Maeda et al, 2020;De Matteis et al, 2021), the small-scale variability of faulting style, stress and strength (Prieto et al, 2004;Hardebeck, 2006;Syracuse et al, 2010;Adinolfi et al, 2015;Stabile et al, 2012;Festa et al, 2021), and the assessment of seismic hazard (Schorlemmer and Wiemer, 2005;Bernard et al, 2006;Emolo et al, 2011). Such achievements have led to an increasing demand for managing and analyzing large amounts of seismic data, mostly consisting of small-magnitude seismic events with signals comparable to or even below the noise level, for which analysts' manual operations are unfeasible (Yoon et al, 2015;Perol et al, 2018;Mousavi et al, 2019;Scafidi et al, 2019;Scala et al, 2022). Seismic monitoring is moving towards the development of fully automated and robust processing approaches, able to exploit the nowadays available huge amount of continuous data and to speed up seismic analyses, which are important for seismic risk assessment and reduction practices (Spallarossa et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive study of micro-seismicity by using an automatic monitoring platform

et al. 2023

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A modern digital seismic network, with many stations optimally distributed on the earthquake causative seismic zone, enables detection of very low magnitude earthquakes and determination of their source parameters. It is essential to associate to such kind of networks procedures to analyze the huge amount of continuously recorded data for monitoring the space-time-magnitude evolution of natural and/or induced seismicity. Hence, the demand for near-real-time, automated data collection and analysis procedures for assisting seismic network operators in carrying out microearthquake monitoring is growing. In response to this need, we designed a computational software platform, TREMOR, for fast and reliable detection and characterization of seismicity recorded by a dense local seismic network. TREMOR integrates different open-source seismological algorithms for earthquake signal detection, location, and source characterizations in a fully automatic workflow. We applied the platform in play-back mode to the continuous waveform data recorded during 1 month at the Japanese Hi-net seismic network in the Nagano region (Japan) and compared the resulting catalog with the Japan Meteorological Agency bulletin in terms of number of detections, location pattern and magnitudes. The results show that the completeness magnitude of the new seismic catalog decreased by 0.35 units of the local magnitude scale and consequently the number of events increased by about 60% with respect to the available catalog. Moreover, the fault plane solutions resulted coherent with the stress regime of the region, and the Vp/Vs ratio well delineated the main structural features of the area. According to our results, TREMOR has shown to be a valid tool for investigating and studying earthquakes, especially to identify and monitor natural or induced micro-seismicity.

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A Complete Automatic Procedure to Compile Reliable Seismic Catalogs and Travel‐Time and Strong‐Motion Parameters Datasets

Cited by 9 publications

References 14 publications

Temporal Evolution of Radiated Energy to Seismic Moment Scaling During the Preparatory Phase of the Mw 6.1, 2009 L’Aquila Earthquake (Italy)

Temporal Evolution of Radiated Energy to Seismic Moment Scaling During the Preparatory Phase of the Mw 6.1, 2009 L’Aquila Earthquake (Italy)

A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence

Comprehensive study of micro-seismicity by using an automatic monitoring platform

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