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前兆观测干扰信号频谱特征分析
李继业1) 武晓军2) 刘长生1) 任建辉2) 高研1) 孙鹏宇2) 孙强2) 秦丽岩2) 战玉明1)
1)黑龙江省地震局,哈尔滨市南岗区鸿翔路24号 150090;2)哈尔滨市防震减灾技术中心,哈尔滨 150021
摘要:
地震前兆观测数据中干扰信号频繁出现,大大增加了地震前兆异常信息提取难度。本文选用基于傅里叶变换的功率谱、傅里叶谱以及基于希尔伯特-黄变换的边际谱方法,针对黑龙江地区数字化水位和竖直摆倾斜测项中的典型干扰信号进行分析,提取了水位高频干扰、周期干扰以及竖直摆倾斜的风扰、同震应变等常见干扰信号的频谱特征。通过对比3种频谱分析方法的差异性,发现功率谱法和傅里叶谱对提取干扰和噪声等平稳信号更加有效,而边际谱法对提取同震应变波等非平稳信号的效果更加显著。
关键词:  前兆观测  干扰提取  谱分析  频谱特征
DOI:
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基金项目:中国地震局地震科技星火计划项目(XH16012)、中国地震局监测预报司震情跟踪青年课题(2016010132)共同资助
Analysis of frequency spectrum characteristics of disturbed signal in earthquake precursory observation
Li Jiye1) Wu Xiaojun2) Liu Changsheng1) Ren Jianhui2) Gao Yan1) Sun Pengyu2) Sun Qiang2) Qin Liyan1) Zhan Yuming1)
1)Earthquake Administration of Heilongjiang Province,Harbin 150090,China;2)Harbin Technical Center of Earthquake Prevention and Disaster Reduction,Harbin 150021,China
Abstract:
It is difficult to extract its anomaly information because the disturbed data is very complex in the earthquake precursory observation. In this paper, it analyses frequency spectrum characteristics of disturbed data about the high frequency interference,periodic disturbance of water level and wind,co-seismic strain of perpendicular pendulum tiltmeter,FFT and HHT marginal spectrum in Heilongjiang Province. The dominating vibration frequency is at over 1.7×10-3Hz in a period of lower than 10min. The three kinds of method have obvious differences. The power spectrum and FFT are effective methods in extracting noise and disturbed data. HHT marginal spectrum is an effective method in extracting coseismic strain. This study will enrich the theoretical application of spectrum analysis in extracting disturbed data.
Key words:  Earthquake precursory observation  Extract interference  Frequency  spectrum analysis  Spectrum characteristics