[1]YUAN Zhengyi,YAN Wei,NIU Anfu,et al.Application Research on Automatic Identification of Annual Cycle Breaking Anomalies in the Fixed-point Deformation[J].Journal of Seismological Research,2020,43(02):394-401.
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Application Research on Automatic Identification of Annual Cycle Breaking Anomalies in the Fixed-point Deformation
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
43
Number of periods:
2020 02
Page number:
394-401
Column:
Public date:
2020-06-10
- Title:
- Application Research on Automatic Identification of Annual Cycle Breaking Anomalies in the Fixed-point Deformation
- Keywords:
- Singular Spectrum Analysis(SSA); fixed-point deformation; assessment of earthquake forecast
- CLC:
- P315.725
- DOI:
- -
- Abstract:
- Based on the Singular Spectrum Analysis(SSA)and the EW component of borehole tilt data in Xinjiang Dongfeng coal mine station,the NS component of quartz horizontal pendulum tiltmeter in Xinjiang Balikun station,this study has realized the fitting of the background annual variation information of the observation data by eliminating the typical interference and long period trend changes.The dynamic R value test was performed on the residual time series combined with the earthquake examples,and the annual cycle breaking anomalies are automatically extracted.At the same time,the anomaly determination criterion corresponding to the highest R value score is recursively solved.Then the annual cycle breaking periods are automatically identified with the best reflection performance on earthquakes,and the automation and quantification of the determination of anomalies are realized.Under the current level of knowledge and conditions,the reliability and accuracy of precursory abnormal signal recognition have been improved.
- References:
- -
- Similar References:
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Last Update:
2020-06-10