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Study on the method for comprehensive discrimination of small earthquakes
作者姓名:沈萍  郑治真  刘希强  滕云田  杨选辉
作者单位:Institute of Geophysics
基金项目:State natural Science foundation of China.Contribution No. 02FE2003, Institute of Geophysics, China Seismological Bureau.
摘    要:IntroductionThe present-day digital seismic observation technique provides us a large amount of accurate seismic records of high-precision, wide-band, and large dynamic range and conditions for higher-solution and higher-speed discrimination of earthquakes. But the problem we face is how to use the modern theory and method for digital signal processing in fast and precise extraction of the characteristic parameters from the large amount of digital seismic records. A basis or the important prob…

收稿时间:28 December 2000
修稿时间:22 January 2002

Study on the method for comprehensive discrimination of small earthquakes
Shen Ping , Zheng Zhi-zhen , Liu Xi-qiang , Teng Yun-tian and Yang Xuan-hui.Study on the method for comprehensive discrimination of small earthquakes[J].Acta Seismologica Sinica(English Edition),2002,15(2):179-186.
Authors:Shen Ping  Zheng Zhi-zhen  Liu Xi-qiang  Teng Yun-tian and Yang Xuan-hui
Institution:1. Institute of Geophysics, China Seismological Bureau, Beijing 100081, China
2. Center for Seismic Data and Information, China Seismological Bureau, Beijing 100045, China
3. Seismological Bureau of Shandong Province, Ji'nan 250014, China
4. Institute of Crustal Dynamics, China Seismological Bureau, Beijing 100085, China
Abstract:In the paper, we apply the theory of modern digital signal processing to analysis 3-component digital seismic data recorded in Datong area of Shanxi Province by digital seismographs developed by the Institute of Geophysics, CSB in November 1999 and study the auto-discrimination of the recorded digital seismic signals. The result shows that the method for comprehensive discrimination in connection with ratios between average values of long-time and shorttime signals, spectral analysis, and wavelet analysis can be used to auto-discrimination of seismic signals through alternate man-computer processing. Many ML>2.0 earthquakes were discriminated better.
Keywords:digital seismic record  spectral analysis  wavelet  comprehensive discrimination  
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