安全,韩晓明,包文超,翟浩,赵铁锁,赵星. 2024. 内蒙古强震站点背景噪声与数据质量分析. 地震学报,46(3):1−12. doi: 10.11939/jass.2022021
引用本文: 安全,韩晓明,包文超,翟浩,赵铁锁,赵星. 2024. 内蒙古强震站点背景噪声与数据质量分析. 地震学报,46(3):1−12. doi: 10.11939/jass.2022021
AN Q,HAN X M,BAO W C,ZHAI H,ZHAO T S,ZHAO X. 2024. Ambient noise and data quality analyses of strong motion stations in Inner Mongolia. Acta Seismologica Sinica46(3):1−12. doi: 10.11939/jass.2022021
Citation: AN Q,HAN X M,BAO W C,ZHAI H,ZHAO T S,ZHAO X. 2024. Ambient noise and data quality analyses of strong motion stations in Inner Mongolia. Acta Seismologica Sinica46(3):1−12. doi: 10.11939/jass.2022021

内蒙古强震站点背景噪声与数据质量分析

Ambient noise and data quality analyses of strong motion stations in Inner Mongolia

  • 摘要: 计算了内蒙古193个强震站点观测数据功率谱密度,通过绘制不同时空、不同加速度计、不同频段功率谱密度和功率谱概率密度函数图及地震噪声速度均方根值分布图,评估了该区强震站点背景噪声,对出现的谱异常进行了具体分析,并针对强震数据异常检测及处理提出了相应的建议。研究结果显示:不同加速度计、不同时空强震站点的背景噪声昼夜差异主要体现在1—2 Hz以上频段,且不同区域昼夜功率谱密度差异变化较大;QA-2g型、JS-A2型和TDA-33M型三种加速度计在2 s频点记录数据的背景噪声值随区域和三分向变化较小;从强震站点2 s频点背景噪声的监控能得到可靠强震观测数据异常。强震数据异常主要由加速度计零点大、加速度计故障、脉冲干扰、系统参数有误造成,建议优化站点观测环境,进一步规范仪器安装、调试及JOPENS系统参数配置和审核。

     

    Abstract: The project of National Earthquake Intensity Rapid Reporting and Early Warning undertakes the mission of earthquake early warning and intensity rapid reporting in China. With the construction of the project, Inner Mongolia has established a strong earthquake observation station network consisting of 193 strong motion stations and a data center. In this paper, the power spectral density of 193 stations is calculated by using the power spectral probability density function(PDF for short). By drawing the distribution maps of power spectral density (PSD for short), power spectral probability density function maps and RMS value in different time-space in different frequency bands with different-type accelerometers, the ambient noise of strong motion stations in our studied region is evaluated, and then the existing spectral anomalies are analyzed. Accordingly, the constructive suggestions are put forward for the anomaly detection and processing of strong motion data. The research results show that the diurnal difference of ambient noise at different stations with different strong seismometers mainly appear in the frequency band above 1−2 Hz, and the diurnal PSD in different regions differs largely. The ambient noise value of the data recorded by strong seismometers QA-2g, JS-A2 and TDA-33M at frequency 2 s shows little change with space and direction, so we can get reliable anomalies from the observation data by monitoring the ambient noise with frequency 2 s. The change of ambient noise with high frequency band at strong ground stations mainly comes from the change in environmental noise, but the influence of instrument self-noise cannot be completely ignored. Anomalous strong ground data is mainly resulted from large zero point of strong seismometer, failure of strong seismometer, pulse interference and incorrect system parameters. Therefore it is recommended to optimize the observation environment of the stations, further standardize the instrument installation, debugging and to configure and review the JOPENS system parameter.

     

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