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地震数据采集器自噪声检测研究
引用本文:许卫卫.地震数据采集器自噪声检测研究[J].地震学报,2017,39(5):806-813.
作者姓名:许卫卫
作者单位:1.中国北京 100081 中国地震局地球物理研究所
基金项目:国家自然科学基金(41474047)资助国家自然科学基金41474047
摘    要:本文采用多通道相关分析方法测量并分析研究了国内地震观测常用的6种进口地震数据采集器的自噪声.结果表明:6种进口地震数据采集器无论在普通增益还是高增益模式下,当频带范围处于1 Hz以下时,自噪声均低于NLNM低噪声模型(灵敏度按750 V·s/m换算);在低增益模式下,当频带范围处于1 Hz以上时,各数据采集器的自噪声与NLNM低噪声模型高低交错,须根据观测目的谨慎使用;Q330HRS和Reftek-130/130S型数据采集器的高增益模式较适合测量宽频带地震计的自噪声. 

关 键 词:地震数据采集器    自噪声    高增益
收稿时间:2016-09-21

Self-noise tests on seismic dataloggers
Institution:1.Institute of Geophysics, China Earthquake Administration, Beijing 100081, China2.Key Laboratory of Seismic Observation and Geophysical Imaging, China Earthquake Administration, Beijing 100081, China
Abstract:The self-noises of the seismic dataloggers have significant meaning for self-noise measurement of seismometers and dynamic range evaluation of broadband seimographs. In this study, we measured and analyzed the self-noises of six types of imported seismic dataloggers widely used in Chinese seismic observations based on multi-channel correlation analysis method. The results showed that self-noises of all six types of dataloggers are well below NLNM model when frequency domain is below 1 Hz in both high-gain and unity-gain modes by sensitivity conversion factor 750 V·s/m; however, for the frequency domain higher than 1 Hz, self-noises of the six types of dataloggers interlace with NLNM model, hence much care should be taken according to the goals of seismic observation. Reftek-130/130S and Q330HRS with high-gain sampling mode might be the preferable choice for the seismometer's self-noise measurements. 
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