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ISSN 2096-7780 CN 10-1665/P

地形变和测震台记录中道路施工信号的特征分析:以宜昌台为例

Imprints of vibratory signals induced by road construction in strain and seismic records: A case study of Yichang station

  • 摘要: 如何阐明道路施工所产生的地形变和地震波信号,一直是地震预测预报业务中的难点之一。2018年3—5月,宜昌台观测到了较典型的道路施工信号。为此,本文以该台为例,尝试采用数字信号处理方法对其水管仪、垂直摆、伸缩仪和地震仪的观测数据进行综合分析。结果表明:道路施工振动对水管仪的影响较为显著,其信号以高频震颤波为主,NS和EW分量所记录的信号主频分别为0.07 cpm和0.059 cpm;垂直摆和伸缩仪对道路施工时的振动信号并不敏感;地震仪所记录的道路施工振动信号主要分布在2.2~4.6 Hz,波形类似于两个串联的枣珠;道路施工所产生的振动信号主要集中在8:00—20:00,持时可达12 h。以上认识将有助于对道路施工振动信号的识别,同时还能为类似信号的溯源研究提供技术参考。

     

    Abstract: One of the crucial issues in the field of earthquake forecasting and prediction is the reasonable identification of the tilt, strain, and seismic signals induced by road construction. During March to May 2018, some special disturbances induced by road construction were observed at Yichang station. With the goal of uncovering the impact on the records of the water-tube tiltmeters, vertical pendulums, extensometers, and seismometer, we analyzed the signatures of this disturbance using the signal processing method. The study produced several important results: In particular, the water-tube tiltmeters were more capable of detecting the vibratory disturbances than the vertical pendulums and extensometers, and the main feature of the disturbances was dominated by high-frequency tremors. Furthermore, the primary frequencies of high-frequency tremors for the water-tube tiltmeters in the NS and EW directions were 0.07 and 0.059 cpm, respectively. The vertical pendulums and extensometers were less sensitive to vibratory disturbance excited by the road construction. The high-frequency tremors in the seismic data occurred mainly at frequencies of approximately 2.2~4.6 Hz, and their whole waveform was analogous to the shape of two connected beads. The vibratory disturbance excited by onset of road construction was recorded at 08:00 and had a duration of approximately 12 h. The results of this study can be used to identify the noise generated by road construction in tilt, strain, and seismic data. Moreover, the method used in this work may contribute to traceable diagnosis.

     

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