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若羌测震台背景噪声分析
引用本文:邓明文,谢江涛,张森,段绍鑫,王宇航,单晓琳.若羌测震台背景噪声分析[J].地震地磁观测与研究,2021,42(3):185-193.
作者姓名:邓明文  谢江涛  张森  段绍鑫  王宇航  单晓琳
作者单位:1.中国新疆维吾尔自治区 841200 库尔勒地震台;2.中国成都 610041 四川省地震局
基金项目:中国地震局地震监测、预报、科研三结合课题(项目编号:3JH-202001098);四川省地震局科技专项(项目编号:LY2102)
摘    要:若羌测震台属国家测震台,为了评估该台站背景噪声水平,采用Welch平均周期法,对2009—2019年共11年近5 000条小时波形数据进行功率谱计算,分析异常噪声特征。同时,绘制该台站11年无断记数据概率密度函数图,分析整体噪声水平。分析发现:①若羌测震台受持续增加的人类活动影响,背景噪声水平不断升高;②受气压影响,水平向噪声水平明显高于垂直向;③2017年后,若羌测震台功率谱密度曲线在频率10 Hz附近出现高频异常,应为米兰河水库运行造成的固有干扰。

关 键 词:若羌测震台  功率谱密度  背景噪声  概率密度函数

Analysis of background noise of Ruoqiang Seismic Station
DENG Mingwen,XIE Jiangtao,ZHANG Sen,DUAN Shaoxin,WANG Yuhang,SHAN Xiaolin.Analysis of background noise of Ruoqiang Seismic Station[J].Seismological and Geomagnetic Observation and Research,2021,42(3):185-193.
Authors:DENG Mingwen  XIE Jiangtao  ZHANG Sen  DUAN Shaoxin  WANG Yuhang  SHAN Xiaolin
Institution:1.Korla Seismic Station, Xinjiang Uygur Autonomous Region 841200, China;2.Sichuan Earthquake Agency, Chengdu 610041, China
Abstract:Ruoqiang Seismic Station is a national station. In order to evaluate the noise level of Ruoqiang Seismic Station in the past 11 years, this paper uses the Welch average period method to calculate the power spectrum of nearly 5 000 pieces of seismic data with a length of 1 hour that are observed from 2009 to 2019 at Ruoqiang Seismic Station to analyze the characteristics of abnormal noise. At the same time, the probability density function diagram of the 11-year uninterrupted data at Ruoqiang Seismic Station is drawn and the overall noise level of Ruoqiang Seismic Station is analyzed. The following understandings have been obtained:①Subjected to increasing human activities, the background noise level of the Ruoqiang Seismic Station continues to rise; ② Affected by air pressure, the noise level in the horizontal component is obviously higher than that in the vertical component; ③After 2017, a high-frequency anomaly appeared near 10 Hz at Ruoqiang Seismic Station, which is an inherent interference caused by reservoir construction.
Keywords:Ruoqiang Seismic Station  power spectral density  background noise  probability density function
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