[1]冯红武,颜文华,张炜超,等.地震P波和S波自动识别方法的研究与应用[J].防灾科技学院学报,2018,20(04):32-39.
 FENG Hongwu,YAN Wenhua,ZHANG Weichao,et al.Research and Application of Automatic Identification Method for P-wave and S-wave[J].JOURNAL OF INSTITUTE OF DISASTER PREVENTION,2018,20(04):32-39.
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地震P波和S波自动识别方法的研究与应用()
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《防灾科技学院学报》[ISSN:1673-8047/CN:13-1377/P]

卷:
第20卷
期数:
2018年04期
页码:
32-39
栏目:
目次
出版日期:
2018-12-31

文章信息/Info

Title:
Research and Application of Automatic Identification Method for P-wave and S-wave
文章编号:
1673-8047(2018)04-0032-08
作者:
冯红武颜文华张炜超王建昌
陕西省地震局,陕西 西安 710068
Author(s):
FENG Hongwu YAN Wenhua ZHANG Weichao WANG Jianchang
Shaanxi Earthquake Agency,Xi’an 710068,China
关键词:
地震波 震相自动捡拾 瞬时频率 瞬时振幅 识别精度
Keywords:
seismic wave automatic identification of seismic phase instantaneous frequency instantaneous amplitude identification accuracy
分类号:
P315.63
文献标志码:
A
摘要:
针对地震波信号的变化特征,将地震波信号的瞬时振幅和瞬时频率作为基本参量,构建了识别P波和S波的STA/LTA方法的新特征函数,提出了基于新特征函数的STA/LTA和VAR-AIC多步骤捡拾P波和S波方法。用该方法对流动地震台阵记录的地震P波和S波进行离线自动拾取,并与人工捡拾的结果比较,结果表明该方法对P波和S波识别都具有较好的效果,但P波的识别精度要高于S波的。
Abstract:
According to the change characteristics of seismic wave signal, we take the instantaneous amplitude and instantaneous frequency of seismic signal as the basic parameters, and constructed new characteristic functions of STA/LTA method on identification of P-wave and S-wave. On the basis of it, we put forward a multi-step phase identification method of STA/LTA and VAR-AIC based on the new characteristic functions. This method is used in off-line automatic identification of seismic P-wave and S-wave recorded by mobile seismic array. We also compared the results obtained through this method and the artificial identifications. As the results indicate, this method procures preferable effect on identifying both P-wave and S-wave, however the recognition accuracy of P-wave is higher than that of S-wave..

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备注/Memo

备注/Memo:
收稿日期:2018-09-07
基金项目:中国地震局地震科技星火计划项目(XH17035YSX); 中国地震局监测、预测、科研三结合课题(CEA-JC/3JH-172706X)
作者简介:冯红武(1985—),男,硕士,工程师,主要从事地震监测工作.
更新日期/Last Update: 2018-12-20