2016年发布APASVO-p波震相自动拾取分析

时间：2021-07-19 18:49:44
  • Why automatic attractive?
  1. large amount of seismic data ;
  2. if manually,it depends om experience of analyst;
  3. Quliaty can be obscured by several factors such as background and non-stationary noise from diverse sources;
  • 该软件使用的方法为

STA-LTA（针对振幅突变识别很有效）；

AMPA；

An autogressive AIC-based picking method ;

  • 软件优点
  1. 适用于多平台；
  2. 可以处理大批量，不同文件格式的数据；
  3. 可用于microseismicity的震相拾取；
  • 软件相关依赖

Scientific  computing packages such as ObsPy,SciPy,NumPy,and Matplotlib

  • 拾取精度对后续工作的影响
  1. tomographic inversion of active-source data(震相成像分析)
  2. HYPOCENTER LOCATION
  • 作者思路：将前人拾取方法分为用于粗糙拾取（ relatively imprecise）和精确拾取（precise）两种
  1. STA／LTA：naive version of the method has too broad range in parameter configuration;(可能需要大量统计实验对于不同距离范围的地震)
  2. direct use of an envelope function with a dynamic trigger level ;(Baer and Kradolfer,1987)
  3. higher-order statistic;(Saragiotis et al.,2002;Kuperkoch et al,.2010;Nippress et al.,2008)
  4. polarization approaches;(Montalbetti and Kanasewich,1970;Kurzon et al.,2014)
  5. local-maxima distribution(Panagiotakis et al.,2008)
  6. wavelet-based methods(Zhang et al.,2003)
  7. even pattern recognition methods(Tong,1995)
  8. neural networks(Dai andMacBeth,1995;Gentili and Michelini,2006)
  9. computer vision inspired methods(Joswig,1990)
  10. Autogressive models:the standard one named AR-AIC  (建立背景噪声和到来震相的自回归模型)：find the phase coming point that the locally stationary AR model attains the minimum value of the Akaike information criterion.(达到某个标准的最小值时)；：该方法拾取较精确，但由于计算比较强烈建议用于已经有过初步估计的初动拾取工作中；
  • 解决信噪比低的信号的方案

AMPA  algorithm（Adaptive Muti-Band Picking Algorithm）:related article-Alvarez et al.,2013

It  applied a serises of filtering stages to the input signal in order to 减弱环境噪声并加强震相的到来。

  1. step1:using filter bank to eatimate the signal envelope and equalize (补偿) noise for each subband.filter band
  2. the resultant  envelope is filterd by a use of set of filters,each one designed different length in order to enhance the phase arrival and lower emergent  noised.
  • 软件方法支撑

STA／LTA 和AMPA  picking algorithm 为主 ；AIC为辅；

  • 软件框架
  1. apasvo-gui:交互型界面，允许用户手动改值；
  2. apasvo-detector:允许使用命令行来计算；有批处理和监督模式两种选择模式，监督用来交互型地判断是否是满意的拾取，是否接受。批处理则在处理过程中不过问。
  3. apasvo-generator:允许使用命令行来产生地震波轨迹，并允许其中有背景噪声；

相关文章