Real-Time Strong-Motion Broadband Displacements from Collocated GPS and Accelerometers

2011 ◽  
Vol 101 (6) ◽  
pp. 2904-2925 ◽  
Author(s):  
Y. Bock ◽  
D. Melgar ◽  
B. W. Crowell
Keyword(s):  
Real Time ◽  
Strong Motion

scholarly journals New K-NET: Development of real-time system for strong-motion observation

2007 ◽  
Vol 7 (2) ◽  
pp. 2-16 ◽  
Author(s):  
Hiroyuki FUJIWARA ◽  
Takashi KUNUGI ◽  
Shigeki ADACHI ◽  
Shin AOI ◽  
Nobuyuki MORIKAWA
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Time System ◽  
Real Time System

scholarly journals Cooperating the BDS, GPS, GLONASS and strong-motion observations for real-time deformation monitoring

2017 ◽  
Vol 209 (3) ◽  
pp. 1408-1417 ◽  
Author(s):  
Rui Tu ◽  
Jinhai Liu ◽  
Cuixian Lu ◽  
Rui Zhang ◽  
Pengfei Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Deformation Monitoring ◽  
Time Deformation

scholarly journals RAIS: a real time strong-motion network in northern Italy

2011 ◽  
Vol 54 (1) ◽  
Author(s):  
Paolo Augliera ◽  
Marco Massa ◽  
Ezio D'Alema ◽  
Simone Marzorati
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Northern Italy ◽  
Strong Motion Network

scholarly journals The INGV real time strong motion data sharing during the 2016 Amatrice (central Italy) seismic sequence

2016 ◽  
Vol 59 ◽  
Author(s):  
Marco Massa ◽  
Ezio D'Alema ◽  
Chiara Mascandola ◽  
Sara Lovati ◽  
Davide Scafidi ◽  
...  
Keyword(s):  
Real Time ◽  
Data Sharing ◽  
Strong Motion ◽  
Main Task ◽  
Seismic Sequence ◽  
Web Portal ◽  
Epicentral Area ◽  
Strong Motion Data ◽  
Motion Data ◽  
The Web

<p><em>ISMD is the real time INGV Strong Motion database. During the recent August-September 2016 Amatrice, Mw 6.0, seismic sequence, ISMD represented the main tool for the INGV real time strong motion data sharing.  Starting from August 24<sup>th</sup>,  the main task of the web portal was to archive, process and distribute the strong-motion waveforms recorded  by the permanent and temporary INGV accelerometric stations, in the case of earthquakes with magnitude </em><em>≥</em><em> 3.0, occurring  in the Amatrice area and surroundings.  At present (i.e. September 30<sup>th</sup>, 2016), ISMD provides more than 21.000 strong motion waveforms freely available to all users. In particular, about 2.200 strong motion waveforms were recorded by the temporary network installed for emergency in the epicentral area by SISMIKO and EMERSITO working groups. Moreover, for each permanent and temporary recording site, the web portal provide a complete description of the necessary information to properly use the strong motion data.</em></p>

Ocean-Bottom Strong-Motion Observations in the Nankai Trough by the DONET Real-Time Monitoring System

2018 ◽  
Vol 52 (3) ◽  
pp. 100-108 ◽  
Author(s):  
Takeshi Nakamura ◽  
Narumi Takahashi ◽  
Kensuke Suzuki
Keyword(s):  
Real Time ◽  
Nankai Trough ◽  
Strong Motion ◽  
Deep Ocean ◽  
Disaster Mitigation ◽  
Ocean Bottom ◽  
Source Modeling ◽  
Origin Time ◽  
Subduction Earthquakes ◽  
Sediment Layers

AbstractThe deployment of real-time permanent ocean-bottom seismic and tsunami observatories is significant for disaster mitigation and prevention during the occurrence of large subduction earthquakes near trough areas. On April 1, 2016, a moderate-sized suboceanic earthquake occurred beneath Dense Oceanfloor Network System for Earthquakes and Tsunamis (DONET) stations that were recently deployed in deep ocean-bottom areas near the Nankai Trough in southwest Japan. P-waves arrived at the ocean-bottom station within 4 s of the origin time, which was 6 and 13 s earlier than the arrival of P- and S-waves at a land station in the coastal area, respectively; this implies earlier detection of strong motion than at land stations. However, the waveforms are amplified by sediment layers and even contaminated with acceleration offsets at some stations, which would lead to overestimations during source investigations. Such amplification and offset did not occur at a borehole station connected to DONET. The amplifications caused by the sediment layers and the offset were found to have a considerable spatial variation, not only between the DONET stations and land and borehole stations but also among the DONET stations, implying that the amplitude evaluation could be unstable. Therefore, procedures for correcting or suppressing the amplification and offset problem are required for conducting waveform analyses, such as magnitude estimations and source modeling, during large subduction earthquakes.

ISMD, a Web Portal for Real-Time Processing and Dissemination of INGV Strong-Motion Data

2014 ◽  
Vol 85 (4) ◽  
pp. 863-877 ◽  
Author(s):  
M. Massa ◽  
S. Lovati ◽  
G. Franceschina ◽  
E. D'Alema ◽  
S. Marzorati ◽  
...  
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Web Portal ◽  
Strong Motion Data ◽  
Real Time Processing ◽  
Time Processing ◽  
Motion Data

Too-Late Warnings by Estimating Mw: Earthquake Early Warning in the Near-Fault Region

2020 ◽  
Vol 110 (3) ◽  
pp. 1276-1288
Author(s):  
Mitsuyuki Hoshiba
Keyword(s):  
Real Time ◽  
Ground Motion ◽  
Early Warning ◽  
Strong Motion ◽  
Earthquake Early Warning ◽  
Motion Generation ◽  
Near Fault ◽  
Time Gap ◽  
Fault Region ◽  
Strong Ground

ABSTRACT Earthquake early warning (EEW) systems aim to provide advance warnings of impending strong ground shaking. Many EEW systems are based on a strategy in which precise and rapid estimates of source parameters, such as hypocentral location and moment magnitude (Mw), are used in a ground-motion prediction equation (GMPE) to predict the strength of ground motion. For large earthquakes with long rupture duration, the process is repeated, and the prediction is updated in accordance with the growth of Mw during the ongoing rupture. However, in some regions near the causative fault this approach leads to late warnings, because strong ground motions often occur during earthquake ruptures before Mw can be confirmed. Mw increases monotonically with elapsed time and reaches its maximum at the end of rupture, and ground motion predicted by a GMPE similarly reaches its maximum at the end of rupture, but actual generation of strong motion is earlier than the end of rupture. A time gap between maximum Mw and strong-motion generation is the first factor contributing to late warnings. Because this time gap exists at any point of time during the rupture, a late warning is inherently caused even when the growth of Mw can be monitored in real time. In the near-fault region, a weak subevent can be the main contributor to strong ground motion at a site if the distance from the subevent to the site is small. A contribution from a weaker but nearby subevent early in the rupture is the second factor contributing to late warnings. Thus, an EEW strategy based on rapid estimation of Mw is not suitable for near-fault regions where strong shaking is usually recorded. Real-time monitoring of ground motion provides direct information for real-time prediction for these near-fault locations.

scholarly journals Development of an Earthquake Early Warning System Using Real-Time Strong Motion Signals

Sensors ◽  
2008 ◽  
Vol 8 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Yih-Min Wu ◽  
Hiroo Kanamori
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Strong Motion ◽  
Earthquake Early Warning ◽  
Earthquake Early Warning System

The study of key issues about integration of GNSS and strong-motion records for real-time earthquake monitoring

2016 ◽  
Vol 58 (3) ◽  
pp. 304-309 ◽  
Author(s):  
Rui Tu ◽  
Pengfei Zhang ◽  
Rui Zhang ◽  
Jinhai Liu
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Strong Motion Records ◽  
Earthquake Monitoring ◽  
Key Issues
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