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福建测震台网观测数据质量检测软件研究
引用本文:徐嘉隽,廖诗荣,张红才,陈智勇,陈三三,张华.福建测震台网观测数据质量检测软件研究[J].华南地震,2010,30(4):97-104.
作者姓名:徐嘉隽  廖诗荣  张红才  陈智勇  陈三三  张华
作者单位:福建省地震局,福建福州350003
摘    要:将McNamara提出的地震噪声概率密度函数(PDF)方法应用于日常地震观测系统数据质量的检测,实现了实时的自动运用概率密度函数方法处理台网接收到的观察数据,得到各个台站各个分向的PSD概率密度函数分布图以及RMS值,从而直观的判断观测数据的质量。

关 键 词:观测数据质量检测  概率密度函数  RMS  自动处理

Studies on Quality Detection Software of Monitoring Data of Seismic Network in Fujian Province
XU Jiajun,LIAO Shirong,ZHANG Hongcai,CHEN Zhiyong,CHEN Sansan,ZHANG Hua.Studies on Quality Detection Software of Monitoring Data of Seismic Network in Fujian Province[J].South China Journal of Seismology,2010,30(4):97-104.
Authors:XU Jiajun  LIAO Shirong  ZHANG Hongcai  CHEN Zhiyong  CHEN Sansan  ZHANG Hua
Institution:(Earthquake Administration of Fujian Province,Fuzhou 350003,China)
Abstract:The software applied Seismic Noise Probability Density Functions(McNa mara,2005) method to daily data quality detection of seismic observation system,which avoided the shortcomings of pulse and sine calibration to detect seismi c observation system.Based on seismic noise PDF method,the quality detection s oftware can process the monitoring data of seismic network.The process was real time and automatic.Using this software we can get the acceleration Power Spect ral Density(PSD),the velocity effective amplitude or root mean square(RMS)and t he probability density functions to judge the quality of monitoring data of seis mic network.
Keywords:Quality detection of monitoring data  Probability Density Functions  R oot mean square
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