A Low-Latency Seismic Recorder for Earthquake Early Warning

Peng, Chaoyong; Xue, Bing; Yang, Jiansi; Chun-xia, Yang; Li, Jiang; Liu, Minghui; Zhou, Yinxing

doi:10.2991/icimm-15.2015.167

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…In some regions, such as the Xianshuihe, Longmenshan and Xiaojiang fault zones (Figure 1A), the average interstation distance was less than 10 km. In addition, most stations integrated a low-latency data packetizing function for real-time continuous data transmission (Peng et al, 2015;2017a). These factors have greatly improved the EEW capabilities, which could be observed from the EEW results of all earthquakes with M3.0 or more in the Changning seismic sequence.…”

Section: Discussionmentioning

confidence: 99%

“…Most MEMS-based stations were installed in the houses of the cellular towers and used their field supervision unit (FSU) for data transmission, which could significantly improve the network environment and lower maintenance costs. Except for some not upgraded broadband and short period seismic stations, most of the data loggers at the stations integrate a lowlatency data packetizing function which is designed specifically to support the EEWS (Peng et al, 2015;2017a). Theoretically, the data packetizing length can be reduced to 0.1 s. Here, for reducing network load, we chose either an interval of 0.5 or 1.0 s to packetize the real-time data depending on the telemetry type.…”

Section: Sichuan Seismic Networkmentioning

confidence: 99%

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Performance Evaluation of an Earthquake Early Warning System in the 2019–2020 M6.0 Changning, Sichuan, China, Seismic Sequence

Peng

Jiang

et al. 2021

Front. Earth Sci.

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China is currently building a nationwide earthquake early warning system (EEWS) which will be completed in June 2023. Several regions have been selected as pilot areas for instrumentation, software system and dissemination verification. For these regions, their construction tasks will be completed in advance with trial runs being carried out in June 2021. Before the trial operation, we need to understand the actual processing capabilities of different EEWSs. In this work, we focus on the system deployed in Sichuan province and evaluate its real-time performance during the 2019–2020 M6.0 Changning seismic sequence. This period was divided into two stages. The first stage was the time from the occurrence of the M6.0 (Mw5.7) mainshock (June 17, 2019) to the end of October 2019 with no MEMS-based stations around the Changning seismic sequence deployed and most of the broadband and short period seismic stations not upgraded to low latency streaming, and the second one was from the beginning of November 2019 to March 2021 with deployments of more than 700 MEMS-based stations and low latency upgrades of ∼30 seismic stations. Median errors for the epicentral locations, depths and magnitude estimations were almost the same for both stages, 1.5 ± 6.0 km, 0.0 ± 3.6 km and −0.1 ± 0.46 for the first stage and 2.3 ± 3.0 km, −3.0 ± 3.6 km and −0.2 ± 0.32 for the second one. However, an obvious underestimation of the magnitude for earthquakes with M 5.0 + occurring in the first stage was observed, which would be caused by the clipped waveforms, sensors deployed in short period seismic stations and MEMS-based stations, the adopted magnitude estimation method, and the method used to computer the network magnitude. The median reporting time was significantly improved from 10.5 ± 3.0 s after origin time for the first stage to 6.3 ± 3.5 s for the second stage because of introduction of newly deployed MEMS-based stations. The results obtained from the second stage indicate that the system has entered a stable operating stage and we can officially launch the trial operation in the pilot areas for public early warning services.

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Section: Discussionmentioning

confidence: 99%

Section: Sichuan Seismic Networkmentioning

confidence: 99%

Performance Evaluation of an Earthquake Early Warning System in the 2019–2020 M6.0 Changning, Sichuan, China, Seismic Sequence

Peng

Jiang

et al. 2021

Front. Earth Sci.

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“…For both synthetic and real data tests, we did not consider the time delays that occur at each station for transmitting and processing recorded continuous waveforms. Generally, low latency seismic stations are essential for the EEW systems (Hill et al, 2016; Peng et al, 2015; Seong et al, 2018). By considering the station latency, it will take more time for issuing accurate earthquake locations.…”

Section: Discussionmentioning

confidence: 99%

Real‐Time Earthquake Location Based on the Kalman Filter Formulation

Chen

Zhang

Eaton

2020

Geophysical Research Letters

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Seismic location is an essential task for earthquake monitoring. The general practice is to locate earthquakes using arrival times from all recorded stations. However, this is not well suited for real‐time applications such as the earthquake early warning, where earthquake locations need to be determined and updated as more stations are triggered. Here we have developed a real‐time linear location method based on a Kalman filter formulation. It updates location and its uncertainty whenever a station is triggered. We have demonstrated its effectiveness with synthetic and real data sets in Parkfield, California in a retrospective mode. The tests show that we can obtain relatively accurate locations and reliable uncertainties for earthquakes with 4 or 5 stations triggered. In particular, without considering the station latency, accurate earthquake locations can be achieved retrospectively in about 3.3 and 2.7 s for the 2003 San Simeon Mw6.6 earthquake and 2004 Parkfield Mw6.0 earthquake, respectively.

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“…During the period of analog seismological observation, when an earthquake happens, short wave is used to set time of an event, while in the digital seismological observation era, Global Positioning System (GPS) is adopted for identifying the time of an event [1]. Many seismic digitizers produced both at home and abroad, such as EDAS-24GN [2][3][4] (China), REFTEK 130-01 [5] (America), Q0330 [6] (America) and Guralp CMG-DM24 [7] (England), have built-in GPS receivers which can provide high precision timing signals for the digitizers to ensure the absolute accuracy of microsecond time.…”

Section: Introductionmentioning

confidence: 99%

Timing for an Integrated Accelerograph EDAS-AS with GPS and NTP

Peng¹,

Xue²,

Yang³

2015

Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference

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In order to solve problems of "jump second" when using only GPS for timing service and inconvenience of installing GPS antennas in some places, we propose a new algorithm combining GPS and NTP to adjust the local clock of an integrated accelerograph. The process flow of the method was described in detail, and the timing accuracy was tested. When the local clock is synchronized against the GPS time output, the time accuracy can reach to 10 μs, while if it is only synchronized against NTP servers, we can obtain a time accuracy of 2 ms. Moreover, during the long run test of the system, we have not found the problem of "jump second". Therefore, this method can effectively solve the problems when only using GPS for time service and the time accuracy can also meet the requirements of strong-motion observation on time precision.

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A Low-Latency Seismic Recorder for Earthquake Early Warning

Cited by 3 publications

References 16 publications

Performance Evaluation of an Earthquake Early Warning System in the 2019–2020 M6.0 Changning, Sichuan, China, Seismic Sequence

Performance Evaluation of an Earthquake Early Warning System in the 2019–2020 M6.0 Changning, Sichuan, China, Seismic Sequence

Real‐Time Earthquake Location Based on the Kalman Filter Formulation

Timing for an Integrated Accelerograph EDAS-AS with GPS and NTP

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