Abstract The earthquake early warning system is an effective means of disaster reduction to reduce losses caused by earthquakes,it can release earthquake warning information to the public before destructive seismic waves reach the warning target area, and carry out automatic disposal of lifeline engineering facilities.Through the construction of the National Earthquake Intensity Rapid Reporting and Early Warning Project, an earthquake early warning network consisting of over 1900 monitoring stations has been established in the Beijing-Tianjin-Hebei Urban Agglomeration.The early warning system has achieved second level earthquake warning and minute level intensity rapid reporting.The implementation of these functions relies on the system's ability to timely, accurately, and reliably identify seismic waves.But with the development of social economy, the background noise of earthquake observation environment is becoming increasingly complex, which brings certain challenges to earthquake wave recognition, some interference events have the risk of triggering the earthquake warning system incorrectly.Therefore, this article focuses on seismic wave recognition in complex noise environments and proposes a seismic wave detection method based on triangulation to enhance the anti-interference ability and recognition accuracy of early warning systems.
Fund: This work was supported by the Spark Program of Earthquake Science and Technology (No.XH23003C)
Corresponding Authors: Sun Lu-qiang (Email :lqsun850330@163.com).
E-mail: lqsun850330@163.com
About author: Qiu Lei is an engineer at the R&D Center of Science and TechnologySinopec Geophysical Corporation.Hegraduated from Institute of Disaster Prevention in 2023 with a master’s degree. His research focuse on geophysical observation technology and data processing methods.Contact email: qiulei0727@139.com
Cite this article:
. Research on Seismic First-arrival Picking Method Based on Delaunay Triangulation and Pd-tc Compatibility Test[J]. APPLIED GEOPHYSICS, 2025, 22(3): 869-877.
2025, Vol. 22 
