scholarly journals Coseismic displacement waveforms for the 2016 August 24 Mw 6.0 Amatrice earthquake (central Italy) carried out from High-Rate GPS data

2016 ◽  
Vol 59 ◽  
Author(s):  
Antonio Avallone ◽  
Diana Latorre ◽  
Enrico Serpelloni ◽  
Adriano Cavaliere ◽  
André Herrero ◽  
...  
Keyword(s):  
Seismic Waves ◽  
Cross Correlation ◽  
Central Italy ◽  
Strong Motion ◽  
High Rate ◽  
Double Difference ◽  
Correlation Technique ◽  
Motion Data ◽  
Time Histories ◽  
Position Time Series

<p>We used High-Rate sampling Global Positioning System (HRGPS) data from 52 permanent stations to retrieve the coseismic dynamic displacements related to the 2016 August 24 <em>M<sub>w</sub></em> 6.0 Amatrice earthquake. The HRGPS position time series (named hereinafter "GPSgrams") were obtained with two different analysis strategies of the raw GPS measurements (Precise Point Positioning [PPP] and Double-Difference [DD] positioning approaches using the Gipsy-Oasis II and the TRACK (GAMIT/GLOBK) software, respectively). These GPSgrams show RMS accuracies mostly within 0.3 cm and, for each site, an agreement within 0.5 cm between the two solutions. By using cross-correlation technique, the GPSgrams are also compared to the doubly-integrated strong motion data at sites where the different instrumentations are co-located in order to recognize in the GPSgrams the seismic waves movements. The high values (mostly greater than 0.6) of the cross-correlation functions between these differently-generated waveforms (GPSgrams and the SM displacement time-histories) at the co-located sites confirm the ability of GPS in providing reliable waveforms for seismological applications.</p>

scholarly journals Rupture history of the 1997 Umbria-Marche (Central Italy) main shocks from the inversion of GPS, DInSAR and near field strong motion data

2009 ◽  
Vol 47 (4) ◽  
Author(s):  
B. Hernandez ◽  
M. Cocco ◽  
F. Cotton ◽  
S. Stramondo ◽  
O. Scotti ◽  
...  
Keyword(s):  
Near Field ◽  
Central Italy ◽  
Strong Motion ◽  
Strong Motion Data ◽  
Motion Data ◽  
Main Shocks ◽  
History Of

EMPIRICAL MODE DECOMPOSITION OF EARTHQUAKE ACCELEROGRAMS

2012 ◽  
Vol 04 (04) ◽  
pp. 1250022 ◽  
Author(s):  
S. T. G. RAGHUKANTH ◽  
S. SANGEETHA
Keyword(s):  
Ground Motion ◽  
Empirical Mode Decomposition ◽  
Strong Motion ◽  
Hilbert Huang Transform ◽  
Motion Data ◽  
Mode Decomposition ◽  
Acceleration Time Histories ◽  
Recording Station ◽  
Time Histories ◽  
Motion Parameters

This article analyzes the strong motion records of past earthquakes by empirical mode decomposition (EMD) technique. The recorded earthquake acceleration time histories are decomposed into a finite number of empirical modes of oscillation. The instantaneous frequency and amplitude of these modes and evolutionary power spectral density (PSD) is estimated from the Hilbert–Huang transform (HHT). Strong motion parameters such as spectral and temporal centroid, spectral and temporal standard deviation, Arias intensity, correlation coefficient of frequency and time are derived from the evolutionary PSD. The variation of these parameters with magnitude, distance and shear wave velocity of the recording station is reported. Empirical equations to estimate these six ground motion parameters are derived from the strong motion data by regression analysis. These equations can be used by engineers to estimate the design ground motion.

scholarly journals Strong-motion observations recorded in Strategic Public Buildings during the 24 August 2016 Mw 6.0 Amatrice (Central Italy) Earthquake

2016 ◽  
Vol 59 ◽  
Author(s):  
Chiara Ladina ◽  
Simone Marzorati ◽  
Giancarlo Monachesi ◽  
Marco Cattaneo ◽  
Massimo Frapiccini ◽  
...  
Keyword(s):  
Local Community ◽  
Central Italy ◽  
Time History ◽  
Strong Motion ◽  
Primary Role ◽  
Motion Data ◽  
Central Italy Earthquake ◽  
Damage Indices ◽  
Marche Region ◽  
Community Information

<p>The Marche Region, in collaboration with INGV, has promoted a project to monitoring public strategic buildings with permanent accelerometer installed at the base of the structures. Public <ins cite="mailto:chiara" datetime="2016-09-27T12:50">structures</ins> play a primary role to maintain the functionality of a local community. Information about vibratory characteristics of the building and subsoil, in addition to the seismic instrumental history that describe the seismic shaking at the base of the structure are collected for each buildings. The real-time acquisition of seismic data allows to obtain accelerometric time history soon after the occurrence of an earthquake. The event of 24 August 2016 in Central Italy was an opportunity to test the functionality of this implemented system. In this work the parameters obtained from strong motion data recorded at the base of the structures were analyzed and the values obtained were inserted with some <ins cite="mailto:mnoise" datetime="2016-09-26T10:13">empirical relationships </ins>used to provide intensity microseismic values and damage indices.</p>

The SMART I Accelerograph Array (1980-1987): A Review

1987 ◽  
Vol 3 (2) ◽  
pp. 263-287 ◽  
Author(s):  
N. A. Abrahamson ◽  
B. A. Bolt ◽  
R. B. Darragh ◽  
J. Penzien ◽  
Y. B. Tsai
Keyword(s):  
Ground Motion ◽  
Earthquake Engineering ◽  
Ground Motions ◽  
Near Field ◽  
Strong Motion ◽  
Response Spectra ◽  
Transform Faults ◽  
Engineering Research ◽  
Motion Data ◽  
Time Histories

SMART 1 is the first large digital array of strong-motion seismographs specially designed for engineering and seismological studies of the generation and near-field properties of earthquakes. Since the array began operation in September 1980, it has recorded over 3000 accelerogram traces from 48 earthquakes ranging in local magnitude ( ML) from 3.6 to 7.0. Peak ground accelerations have been recorded up to 0.33g and 0.34g on the horizontal and vertical components, respectively. Epicentral distances have ranged from 3 km 200 km from the array center, and focal depths have ranged from shallow to 100 km. The recorded earthquakes had both reverse and strike-slip focal mechanisms associated with the subduction zone and transform faults. These high quality, digital, ground motions provide a varied resource for earthquake engineering research. Earthquake engineering studies of the SMART 1 ground motion data have led to advances in knowledge in several cases: for example, on frequency-dependent incoherency of free-surface ground motions over short distances, on response of linear systems to multiple support excitations, on attenuation of peak ground-motion parameters and response spectra, on site torsion and phasing effects, and on the identification of wave types. Accelerograms from individual strong-motion seismographs do not, in general, provide such information. This review describes the SMART 1 array and the recorded earthquakes with special engineering applications. Also, it tabulates the unfiltered peak array accelerations, displays some of the recorded ground motion time histories, and summarizes the main engineering research that has made use of SMART 1 data.

Real-time coseismic deformations from adaptively tight integration of high-rate GNSS and strong motion records

2019 ◽  
Vol 219 (3) ◽  
pp. 1757-1772 ◽  
Author(s):  
Jianfei Zang ◽  
Caijun Xu ◽  
Guanxu Chen ◽  
Qiang Wen ◽  
Shijie Fan
Keyword(s):  
Real Time ◽  
Central Italy ◽  
Broad Band ◽  
Strong Motion ◽  
High Rate ◽  
Motion Sensors ◽  
Observation Condition ◽  
Baseline Shift ◽  
Process Variance ◽  
Tight Integration

SUMMARY In traditional tight integration of high-rate GNSS and strong motion sensors, an appropriate process variance is crucial for obtaining accurate broad-band coseismic deformations. In this paper, instead of using a subjectively empirical value, we present an approach for determining the process variance adaptively based on the adaptive Kalman filter for real-time use. The performance of the approach was validated by the colocated stations collected during the 2010 Mw 7.2 earthquake in El-Mayor, 2016 Mw 7.8 earthquake in New Zealand and 2016 Mw 6.5 earthquake in central Italy. The results show that this method complements the advantages of GNSS and strong motion accelerometers and can provide more accurate coseismic waveforms especially during the strong shaking period, due to the ability of the method to adjust the process variance in real time according to the actual status of the station. In addition, this method is also free from the influence of the baseline shift. Testing of the new method for the integration of strong motion and multi-GNSS indicates that multi-GNSS has an obvious improvement in the precision while single GPS has a poor observation condition.

scholarly journals The ShakeMaps of the Amatrice, M6, earthquake

2016 ◽  
Vol 59 ◽  
Author(s):  
Licia Faenza ◽  
Valentino Lauciani ◽  
Alberto Michelini
Keyword(s):  
Ground Motion ◽  
Data Exchange ◽  
Main Shock ◽  
Central Italy ◽  
Strong Motion ◽  
Rupture Directivity ◽  
Time Data ◽  
Epicentral Area ◽  
Ground Shaking ◽  
Motion Data

In this paper we describe the performance of the ShakeMap software package and the fully automatic procedure, based on manually revised location and magnitude, during the main event of the Amatrice sequence with special emphasis to the M6 main shock, that struck central Italy on the 24th August 2016 at 1:36:32 UTC. Our results show that the procedure we developed in the last years, with real-time data exchange among those institutions acquiring strong motion data, allows to provide a faithful description of the ground motion experienced throughout a large region in and around the epicentral  area. The prompt availability of the rupture fault model, within three hours after the earthquake occurrence, provided a better descriptions of the level of strong ground motion throughout the affected area.  Progressive addition of  station data and  manual verification of the data insures improvements in the description of the experienced ground motions.  In particular, comparison between the MCS intensity shakemaps and preliminary field macroseismic reports show favourable similarities.  Finally the overall  spatial pattern of the ground motion of the main shock is consistent with reported rupture directivity toward NW and reduced levels of ground shaking toward SW probably linked to the peculiar source effects of the earthquake.

Recorded Motions of the 6 April 2009 Mw 6.3 L'Aquila, Italy, Earthquake and Implications for Building Structural Damage: Overview

2010 ◽  
Vol 26 (3) ◽  
pp. 651-684 ◽  
Author(s):  
Mehmet Çelebi ◽  
Paolo Bazzurro ◽  
Lauro Chiaraluce ◽  
Paolo Clemente ◽  
Luis Decanini ◽  
...  
Keyword(s):  
Reinforced Concrete ◽  
Short Duration ◽  
Structural Damage ◽  
Central Italy ◽  
Strong Motion ◽  
Shear Walls ◽  
Normal Faulting ◽  
Infill Walls ◽  
Motion Data ◽  
Mediterranean Countries

The normal-faulting earthquake of 6 April 2009 in the Abruzzo Region of central Italy caused heavy losses of life and substantial damage to centuries-old buildings of significant cultural importance and to modern reinforced-concrete-framed buildings with hollow masonry infill walls. Although structural deficiencies were significant and widespread, the study of the characteristics of strong motion data from the heavily affected area indicated that the short duration of strong shaking may have spared many more damaged buildings from collapsing. It is recognized that, with this caveat of short-duration shaking, the infill walls may have played a very important role in preventing further deterioration or collapse of many buildings. It is concluded that better new or retrofit construction practices that include reinforced-concrete shear walls may prove helpful in reducing risks in such seismic areas of Italy, other Mediterranean countries, and even in United States, where there are large inventories of deficient structures.

scholarly journals High-rate (1 Hz to 20 Hz) GPS coseismic dynamic displacements carried out during the Emilia 2012 seismic sequence

2012 ◽  
Vol 55 (4) ◽  
Author(s):  
Antonio Avallone ◽  
Elisabetta D'Anastasio ◽  
Enrico Serpelloni ◽  
Diana Latorre ◽  
Adriano Cavaliere ◽  
...  
Keyword(s):  
Near Field ◽  
Strong Motion ◽  
Sampling Frequency ◽  
High Rate ◽  
Seismic Sequence ◽  
Motion Time ◽  
Global Positioning ◽  
Commercial Networks ◽  
Time Histories ◽  
Moderate Magnitude

<p>In May-July 2012, Emilia Romagna (northern Italy) was struck by a significant seismic sequence, which was characterized by two moderate-magnitude earthquakes: a Ml 5.9 event on May 20, 2012, at 02:03:53 UTC, and a Ml 5.8 event on May 29, 2012, at 07:00:03 UTC, about 12 km to the west of the first mainshock. The earthquake sequence produced a total of 20 casualties and severe and widespread damage, mainly to historical and commercial buildings. A detailed description of the seismic sequence can be found in Sco-gnamiglio et al. [2012, this volume]. The largest of the earthquake static displacements were recorded by tens of continuous global positioning system (cGPS) stations, as described in Serpelloni et al. [2012, this volume]. Most of these stations were operating with a sampling frequency of 1 Hz, and they belonged to scientific or commercial networks: RING (http://ring.gm.ingv.it); ITALPOS (http://smartnet.leica-geosystems.it); GeoTop (http://www.netgeo.it); Fondazione Geometri Emilia Romagna (http://www.gpsemiliaromagna.it; Lombardia [http://www.gpslombardia.it); and Veneto (http://147.162.229.63). Some hours after the first mainshock, the sampling frequency of the near-field RING stations (SBPO and MODE) were switched to 20 Hz, thus recording the coseismic displacements produced by the May 29, 2012, earthquake at higher frequency. This sampling frequency was previously used for the detection of coseismic dynamic displacements only for the Mw 9 Tohoku-Oki 2011 event [Colosimo et al. 2011b]. Thus, the 20-Hz-sampling displacements for the Tohoku-Oki 2011 earthquake and the May 29, 2012, Emilia event might represent important recordings to investigate coseismic contributions at frequencies higher than 1 Hz with GPS. In the present study, after the description of the high-rate GPS (HRGPS) data analysis, we will show and compare the preliminary results. Then, for the two mainshocks, we will compare the displacements recorded by the HRGPS (1 Hz up to 20 Hz) and the strong-motion time histories (100 Hz) at MODE, where the different instruments were approximately co-located (Figure 1, inset, relative distance of ca. 90 m). […]</p>

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