The Analysis of Triaxial Passive Seismic Signal Data Using Python Scripting Language

The local geological and the physical conditions of earth’s ground defines its vibration characteristics. Such vibrations can be detected using conventional passive seismic methods, i.e., a microtremor recording method, which acquires ground vibration data in a suitable sampling time. The method uti...

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Veröffentlicht in:Journal of physics. Conference series Jg. 2376; H. 1; S. 12015 - 12022
Hauptverfasser: Fazriati, Evi, Bahri, Ayi Syaeful, Rosandi, Yudi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bristol IOP Publishing 01.11.2022
Schlagworte:
Algorithms
Data acquisition
Geology
Physics
Programming languages
Python
Resonant frequencies
Seismic surveys
Sensitivity
Signal processing
Vibration
ISSN:1742-6588, 1742-6596
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Zusammenfassung:The local geological and the physical conditions of earth’s ground defines its vibration characteristics. Such vibrations can be detected using conventional passive seismic methods, i.e., a microtremor recording method, which acquires ground vibration data in a suitable sampling time. The method utilizes natural seismic sources, originating from both natural and artificial sources. In this work we present the algorithm to process passive seismic signals, recorded from a laboratory developed triaxial seismic logging device. We use python scripting language to perform the signal processing work. We analyzed the Horizontal to Vertical Spectral Ratio (HVSR) of the signal to determine the on-site natural frequency. The results were compared to the reference data from a high sensitivity microtremor apparatus, at the exact same location. The results show a fair agreement between the low sensitivity and the high sensitivity seismometer, on the sites with low environmental disturbance. However, the values fluctuate significantly at noisy sites. Either way, our results measure the correct dominant frequencies as expected from the geological condition.
Bibliographie:ObjectType-Article-1
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2376/1/012015