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Seismic instruments are widely used in projects related to geophysical prospecting. Quality data from seismic recorders help to determine subterranean structures with high precision. This paper first introduces a field experiment carried out by deploying seismic stations equipped with two kinds of seismic recorders: GEI (China) and Reftek 130 (USA). Then, the three-component seismograms from GEI are measured and evaluated by comparing with those from Reftek 130 in different aspects: waveforms in time and frequency domain, quantitative analysis by calculation and statistic of correlation coefficient, and signal to noise ratio of seismic signal. Our results were presented by multiple images as the following: (I) Both the time and frequency waveforms of GEI were almost exactly coincident with those of Reftek 130, with over 98.60 percent of the correlation coefficients in the time domain within 0.95–1.0, and all those in the frequency domain above 0.9977. (II) The accurate time lag estimation of GEI’s signal was gained by the lag and correlation algorithms based on left–right sliding windows. The GEI clock was 7.3545 ns behind the Reftek 130 clock after every 1 s, which could be utilized to correct the internal clock to improve the synchronous accuracy of seismic recorders. (III) Some seismic signals from GEI were obviously stronger than those from Reftek 130. Our results may potentially promote and support the optimization of seismic recorders and their application in geophysics methods.
Seismic instruments are widely used in projects related to geophysical prospecting. Quality data from seismic recorders help to determine subterranean structures with high precision. This paper first introduces a field experiment carried out by deploying seismic stations equipped with two kinds of seismic recorders: GEI (China) and Reftek 130 (USA). Then, the three-component seismograms from GEI are measured and evaluated by comparing with those from Reftek 130 in different aspects: waveforms in time and frequency domain, quantitative analysis by calculation and statistic of correlation coefficient, and signal to noise ratio of seismic signal. Our results were presented by multiple images as the following: (I) Both the time and frequency waveforms of GEI were almost exactly coincident with those of Reftek 130, with over 98.60 percent of the correlation coefficients in the time domain within 0.95–1.0, and all those in the frequency domain above 0.9977. (II) The accurate time lag estimation of GEI’s signal was gained by the lag and correlation algorithms based on left–right sliding windows. The GEI clock was 7.3545 ns behind the Reftek 130 clock after every 1 s, which could be utilized to correct the internal clock to improve the synchronous accuracy of seismic recorders. (III) Some seismic signals from GEI were obviously stronger than those from Reftek 130. Our results may potentially promote and support the optimization of seismic recorders and their application in geophysics methods.
Seismometers play a crucial role in monitoring seismic activities, yet their performance can degrade over time due to environmental conditions, aging components, and external disturbances. This study introduces an innovative seismometer health diagnosis method based on seismic signal analysis tailored for the Indonesian earthquake station network. The proposed method involves trim signal, signal resampling, filtering, and deconvolution of instrument response to process seismic data from the earthquake station network in Indonesia, specifically from Honshu, Japan 2024 of seismic events in the regions of Java, Indonesia, using Python software. By understanding the condition of the seismometer, the accuracy of data can be optimized or improved, damage can be minimized, and maintenance costs can be reduced. Seismometer health diagnoses are conducted using cross-correlation analysis and amplitude ratios of seismic signals from 3 neighbour seismic stations using 88 stations to diagnosis, we found that 90% of the seismometers in the Java, Indonesia region are still health condition and 10% of the seismometers are unhealth condition. The health parameters could be used to diagnose seismometer performance in the Indonesian earthquake station network.
Analytical study and summarization of dynamic and frequency characteristics of the seismic-acoustic vibrations originated by the near and distant earthquakes and other natural and artificial seismic processes, as well as information analyses of their duration and repetition were done. These allow the formulation of appropriate technical requirements for seismic recording devices, as well as to analyze and evaluate the possibilities of implementing various methods and devices for recording signals from different seismic-acoustic processes depending also on the seismological and other tasks to be solved and various additional specific requirements. It has been shown, that although the introduction of various methods and devices for the digital recording of seismic signals substantially increased during the last decades in seismology, however, it is not even possible to record seismic signals in their entire possible amplitude-frequency ranges employing a single digital recording device too. It also has been confirmed that the widespread usage of digital recording, transmission, machine processing, and analyzing of seismic signals in most contemporary seismic stations does not reduce the value and does not eliminate the need, but, on the contrary, assumes the conduction of simultaneous analog visible registration of seismic processes to obtain express controlling visible records, provide operational manual express analysis of seismograms.
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