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基于概率功率谱密度的山西地震预警台网地噪声水平计算与分析

丁大业 宫卓宏 董春丽 梁艳 李晨

地震地磁观测与研究2024,Vol.45Issue(2):134-142,9.
地震地磁观测与研究2024,Vol.45Issue(2):134-142,9.DOI:10.3969/j.issn.1003-3246.2024.02.017

基于概率功率谱密度的山西地震预警台网地噪声水平计算与分析

Calculation and analysis of ground noise level of Shanxi earthquake early warning network based on PPSD method

丁大业 1宫卓宏 1董春丽 1梁艳 1李晨1

作者信息

  • 1. 中国太原 030021 山西省地震局||中国太原 030025 山西省太原大陆裂谷动力学国家野外科学观测研究站
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摘要

Abstract

Seismic monitoring and early warning require high-quality waveform data.However,the abnormal operation of the equipment in the seismic station leads to the abnormal waveform from time to time,which affects the data quality of the station.In the face of the sudden increase in the number of stations,it is difficult to detect abnormal waveforms in time by manually waveform browsing,and the observation data quality cannot be guaranteed.Based on the real-time waveform data recorded by the base stations,basic stations,and general stations of the Shanxi earthquake early warning station network,the probabilistic power spectral density(PPSD)method is used to calculate the ground noise level of the early warning stations,and the normal and abnormal waveform characteristics of some stations are compared and analyzed by PDF diagram.The results show that the seismometer can record the ground noise in the wide band effectively.The accelerometer can record the base noise greater than 0.1 Hz.The intensity meter only records the self-noise and cannot record the ground noise effectively.The analysis shows that this method can be used to check the operating state of the station instrument to detect the abnormal station in time,and then realize the quality monitoring of the station waveform data.

关键词

地震预警/数据质量监控/PPSD方法/Python语言

Key words

earthquake early warning/data quality monitoring/PPSD method/Python language

引用本文复制引用

丁大业,宫卓宏,董春丽,梁艳,李晨..基于概率功率谱密度的山西地震预警台网地噪声水平计算与分析[J].地震地磁观测与研究,2024,45(2):134-142,9.

基金项目

山西省地震局青年科研项目(项目编号:SBK-2317) (项目编号:SBK-2317)

地震地磁观测与研究

1003-3246

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