• 2016年发布APASVO-p波震相自动拾取分析


    • 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;

     

     

     

        

     

     

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  • 原文地址:https://www.cnblogs.com/seisjun/p/6031666.html
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