刘旭宙, 沈旭章, 张元生, 秦满忠, 李秋生. 2018: 基于噪声概率密度函数的地震计观测性能对比. 地震学报, 40(4): 461-470. DOI: 10.11939/jass.20170137
引用本文: 刘旭宙, 沈旭章, 张元生, 秦满忠, 李秋生. 2018: 基于噪声概率密度函数的地震计观测性能对比. 地震学报, 40(4): 461-470. DOI: 10.11939/jass.20170137
Liu Xuzhou, Shen Xuzhang, Zhang Yuansheng, Qin Manzhong, Li Qiusheng. 2018: Comparison on different seismometers performance based on probability density functions. Acta Seismologica Sinica, 40(4): 461-470. DOI: 10.11939/jass.20170137
Citation: Liu Xuzhou, Shen Xuzhang, Zhang Yuansheng, Qin Manzhong, Li Qiusheng. 2018: Comparison on different seismometers performance based on probability density functions. Acta Seismologica Sinica, 40(4): 461-470. DOI: 10.11939/jass.20170137

基于噪声概率密度函数的地震计观测性能对比

Comparison on different seismometers performance based on probability density functions

  • 摘要: 在记录波形一致性分析的基础上,对比不同仪器的噪声概率密度函数的分布形态和中值曲线,以及不同频率处的概率密度分布,得出仪器的实际观测性能差别,其与仪器特性及传递函数的差别相一致。利用对比噪声概率密度函数的方法可以定量地、直观地给出不同仪器观测性能差别,更为细致地了解不同地震计的差别,对观测资料作出合理的评估。

     

    Abstract: The difference in observational performance between different seismological instruments is not easy to find. In this paper, we discuss differences in the performance of observational seismological instruments on the same observation conditions, using a comparison of the probability density functions (PDFs)of the noise power spectrum, based on an analysis of conformance of seismic recorded waveforms. After comparing the probability density distribution of the power spectrum at different frequencies, as well as the distribution and median curves of PDFs of the noise power spectrum, we obtained the quantitative observation difference of different instruments. This difference agrees with the difference of instrument characteristics and transfer functions. By comparing the PDFs of the noise power spectrum, the quantitative and visual differences in the observation performance of different instruments can be given. This is a more detailed view of the difference between instruments and provides a reasonable evaluation of the observation data.

     

/

返回文章
返回