丁莉莎,谢剑波,吴华灯,廖一帆,叶世山,卢子晋,马洁美,吕仲杭. 2024. 基于背景噪声有效值概率分布区间强震台站监测能力分析. 地震学报,46(3):1−17. doi: 10.11939/jass.20220146
引用本文: 丁莉莎,谢剑波,吴华灯,廖一帆,叶世山,卢子晋,马洁美,吕仲杭. 2024. 基于背景噪声有效值概率分布区间强震台站监测能力分析. 地震学报,46(3):1−17. doi: 10.11939/jass.20220146
DING L S,XIE J B,WU H D,LIAO Y F,YE S S,LU Z J,MA J M,LV Z. 2024. ANALYSIS OF MONITORING CAPABILITY OF STRONG MOTION SATION IN EASTERN GUANGDONG BASED ON THE PROBABILITY INTERVAL OF AMBIENT NOISE. Acta Seismologica Sinica46(3):1−17. doi: 10.11939/jass.20220146
Citation: DING L S,XIE J B,WU H D,LIAO Y F,YE S S,LU Z J,MA J M,LV Z. 2024. ANALYSIS OF MONITORING CAPABILITY OF STRONG MOTION SATION IN EASTERN GUANGDONG BASED ON THE PROBABILITY INTERVAL OF AMBIENT NOISE. Acta Seismologica Sinica46(3):1−17. doi: 10.11939/jass.20220146

基于背景噪声有效值概率分布区间强震台站监测能力分析

ANALYSIS OF MONITORING CAPABILITY OF STRONG MOTION SATION IN EASTERN GUANGDONG BASED ON THE PROBABILITY INTERVAL OF AMBIENT NOISE

  • 摘要: 本文以珠江三角洲地震监测和预警系统粤东密集台网的强震日常记录数据为基础,利用强震台站背景噪声有效值密度函数,研究强震动台站背景噪声频谱的统计规律,建立强震台站背景噪声有效值平均模型、最小模型以及噪声有效值概率分布区间,形成利用强震台站背景噪声有效值概率分布区间与区域地震事件的频率-加速度幅值分布曲线互比的强震台站监测能力分析方法。通过该方法,我们得到不同台站每日背景噪声加速度有效值,并利用台站背景噪声有效值概率分布区间及区域地震事件的频率-加速度幅值分布曲线估算强震台站记录不同震级区域地震事件的概率,实现台站的监测能力评价。强震台站背景噪声有效值概率分布区间分析方法是背景噪声有效值概率密度分布分析的延伸和拓展,也有助于工程地震学中频率域去噪低端截止频率的讨论;其中,不同台站的噪声下限由于仪器自噪声及环境噪声的相互作用而不同,强震台站背景噪声最小模型可以作为该台最优监测能力,是强震仪及观测环境的综合指标。

     

    Abstract: Observation exploits the spectral statistical characteristics of strong motion ambient noise through acceleration RMS density function, for estimating the quality of records from and status of the real-time strong motion station. Since then, the monitoring capability analysis method of the strong seismic station has been outlined, which is the acceleration RMS average model, the minimum mode and the probability interval of ambient noise of a strong-motion station are compared with the frequency-amplitude lines, which estimated from the regional earthquake events with epicenteral distance of 70~150 km from each station and magnitudes range from M7.0 down to M2.0. This procedure not only shows the dynamic performance of the strong motion station, but also demonstrates the monitoring quality directly. Through this method, we get : The monitoring capability analysis method can be used to estimate the probability of the different magnitude regional seismic events recorded by strong motion station, so as to evaluate the monitoring capability of station. Affected by the environmental noise of the station, each station can clearly observe different earthquake magnitudes from the others. And the different lower limits of noise recorded by different stations is due to the interaction of instrument self-noise of accelerometers and environmental noise. The acceleration RMS minimum model of strong motion station can be used as the estimation of optimal monitoring capability of the station and is a comprehensive index of self noise of the accelerometer and noise of the observation environment. The data from the Pearl River Delta Early Warning Network in Guangdong, China.

     

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