[1]WANG Hai-tao,WANG Qiong.Precursor Anomaly Identification Based on Earthquake Corresponding Probability Spectrum Analysis[J].Journal of Seismological Research,2008,31(04):330-334.
Copy
Precursor Anomaly Identification Based on Earthquake Corresponding Probability Spectrum Analysis
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
31
Number of periods:
2008 04
Page number:
330-334
Column:
Public date:
2008-04-23
- Title:
- Precursor Anomaly Identification Based on Earthquake Corresponding Probability Spectrum Analysis
- Keywords:
- earthquake corresponding probability spectrum; sliding mean probability; precursor anomaly; identification quantification
- CLC:
- P315.75
- DOI:
- -
- Abstract:
- With the aim to the quantification of anomaly identification and extraction for observed or analyzed records,we present earthquake corresponding probability spectrum statistical method and cumulative sliding mean probability analysis method.By earthquake probability spectrum analysis,we can obtain the abnormal confidence attribute of data in different value ranges.Based on the probability spectrum in different studied time-intervals,we convert the original data time sequence into probability time sequence,and can obtain the time curve for sliding mean probability by using multi-point cumulative sliding mean method,then identify seismic precursor anomaly.Taking the time sequence of η-value in the North Tianshan region as original data,we test the methods.The result shows that when the studied time-interval is 18 months,the precursor anomaly can be identified better from sliding mean probability time curve.The anomaly corresponding rate is 83 per cent,earthquake corresponding rate 86 per cent,and the anomaly is in middle term.The analysis indicates that the earthquake corresponding probability spectrum and sliding mean probability sequence in different time-intervals may not only be used to identify the precursor anomaly of single-item data,but also offer the data of quantitative single-item anomdy for comprehensive earthquake analysis and prediction.
- References:
- -
- Similar References:
Memo
-
Last Update:
2008-04-23