scholarly journals An Earthquake Early Warning System for Southwestern British Columbia

2021 ◽  
Vol 9 ◽  
Author(s):  
Angela Schlesinger ◽  
Jacob Kukovica ◽  
Andreas Rosenberger ◽  
Martin Heesemann ◽  
Benoît Pirenne ◽  
...  
Keyword(s):  
British Columbia ◽  
Pacific Northwest ◽  
Early Warning ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Global Navigation Satellite Systems ◽  
P Wave ◽  
S Wave ◽  
Earthquake Early Warning System ◽  
Seismic Displacement

Southwestern British Columbia (BC) is exposed to the highest seismic hazard in Canada. Ocean Networks Canada (ONC) has developed an Earthquake Early Warning (EEW) system for the region. The system successfully utilizes offshore cabled seismic instruments in addition to land-based seismic sensors and integrates displacement data from Global Navigation Satellite Systems (GNSS). The seismic and geodetic data are processed in real-time onsite at 40 different stations along the coast of BC. The processing utilizes P-wave and S-wave detection algorithms for epicentre calculations as well as incorporation of geodetic and seismic displacement data into a Kalman filter to provide magnitude estimates. The system is currently in its commissioning phase and has successfully detected over 60 earthquakes since being deployed in October 2018. To increase the coverage of the EEW system, we are in the process of incorporating detection parameters from neighbouring networks (e.g., the Pacific Northwest Seismic Network (PNSN)) to provide additional information for future event notifications.

scholarly journals The scaling of PGA with IV2p and its potential for Earthquake Early Warning in Thessaly (Central Greece)

2021 ◽  
Vol 58 ◽  
pp. 177
Author(s):  
Ioannis Spingos ◽  
Filippos Vallianatos ◽  
George Kaviris
Keyword(s):  
Early Warning ◽  
Scaling Laws ◽  
Warning System ◽  
Seismic Signal ◽  
Earthquake Early Warning ◽  
P Wave ◽  
Scaling Relations ◽  
Initial Portion ◽  
Earthquake Early Warning System ◽  
Single Station

The main goal of an Earthquake Early Warning System (EEWS) is to estimate the expected peak ground motion of the destructive S-waves using the first few seconds of P-waves, thus becoming an operational tool for real-time seismic risk management in a short timescale. EEWSs are based on the use of scaling relations between parameters measured on the initial portion of the seismic signal, after the arrival of the first wave. Herein, using the abundant seismicity that followed the 3 March 2021 Mw=6.3 earthquake in Thessaly we propose scaling relations for PGA, from data recorded by local permanent stations, as a function of the integral of the squared velocity (IV2p). The IV2p parameter was estimated directly from the first few seconds-long signal window (tw) after the P-wave arrival. Scaling laws are extrapolated for both individual and across sites (i.e., between a near-source reference instrument and a station located close to a target). The latter approach is newly investigated, as local site effects could have a significant impact on recorded data. Considering that further study on the behavior of IV2p is necessary, there are indications that this parameter could be used in future on-site single‐station earthquake early warning operations for areas affected by earthquakes located in Thessaly, as itpresents significant stability.

scholarly journals Development of Earthquake Early Warning System Using ADXL335 Accelerometer

2018 ◽  
Author(s):  
Yoga Priyana ◽  
Folkes E. Laumal ◽  
Emir E. Husni
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Seismic Waves ◽  
Human Life ◽  
Warning System ◽  
Earthquake Early Warning ◽  
P Wave ◽  
Earthquake Early Warning System ◽  
Wave Data ◽  
Seismic Sensors

Indonesia is an archipelago located at three earthquake belts. This condition cause an earthquake can occur anytime and threaten human life. A quick and accurate early warning system by using the seismic wave data processing is required so, the number of victims affected by the earthquake can be shortened. Here, ADXL335 accelerometers are used as seismic sensors with an Arduino minimum system. The results show that when the first earthquake’s vibration occurs, P wave data detected by the ADXL335 sensor is successfully buffered, calibrated, transmitted and displayed on the server. When there are errors on the transmission, server will request for retransmission. The alarm of the earthquake early warning system will be activated if there are at least three sensors from different locations successfully transmit P wave data with the same scale. This is needed to prevent fake seismic waves.

scholarly journals Expected warning times from the ShakeAlert earthquake early warning system for earthquakes in the Pacific Northwest

2021 ◽  
Author(s):  
Jeffrey J. McGuire ◽  
Deborah E. Smith ◽  
Arthur D. Frankel ◽  
Erin A. Wirth ◽  
Sara K. McBride ◽  
...  
Keyword(s):  
Pacific Northwest ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Earthquake Early Warning System ◽  
The Pacific

scholarly journals Feasibility study of earthquake early warning in Tehran, Iran

2021 ◽  
Author(s):  
S. Enferadi ◽  
Z. H. Shomali ◽  
A. Niksejel
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Disaster Mitigation ◽  
Lead Times ◽  
Worst Case ◽  
Earthquake Parameters ◽  
Earthquake Early Warning System ◽  
Earthquake Scenarios

AbstractIn this study, we examine the scientific feasibility of an Earthquake Early Warning System in Tehran, Iran, by the integration of the Tehran Disaster Mitigation and Management Organization (TDMMO) accelerometric network and the PRobabilistic and Evolutionary early warning SysTem (PRESTo). To evaluate the performance of the TDMMO-PRESTo system in providing the reliable estimations of earthquake parameters and the available lead-times for The Metropolis of Tehran, two different approaches were analyzed in this work. The first approach was assessed by applying the PRESTo algorithms on waveforms from 11 moderate instrumental earthquakes that occurred in the vicinity of Tehran during the period 2009–2020. Moreover, we conducted a simulation analysis using synthetic waveforms of 10 large historical earthquakes that occurred in the vicinity of Tehran. We demonstrated that the six worst-case earthquake scenarios can be considered for The Metropolis of Tehran, which are mostly related to the historical and instrumental events that occurred in the southern, eastern, and western parts of Tehran. Our results indicate that the TDMMO-PRESTo system could provide reliable and sufficient lead-times of about 1 to 15s and maximum lead-times of about 20s for civil protection purposes in The Metropolis of Tehran.

The First Stage of an Earthquake Early Warning System in South Korea

2017 ◽  
Vol 88 (6) ◽  
pp. 1491-1498 ◽  
Author(s):  
Dong‐Hoon Sheen ◽  
Jung‐Ho Park ◽  
Heon‐Cheol Chi ◽  
Eui‐Hong Hwang ◽  
In‐Seub Lim ◽  
...  
Keyword(s):  
South Korea ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Earthquake Early Warning System
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