Abstract As an example, we use 5 days borehole strainmeter observation data before the Wenchuan 8.0 earthquake recorded in Yushu seismic station. First, we check the reliability and stability of the borehole strainmeter through calculation of the correlation and coherent frequency between the two synthetic components S13 and S24, and find out the incoherent signal’s frequency between S13 and S24 as the basis for selecting wavelet parameters. Secondly, we use wavelet analysis to extract the disturbance signals in the four observation components, and calculate the time-frequency-energy distribution. Finally, we select STA/LTA trigger detection parameters according to the time-frequency-energy distribution characteristics to detect 4 observation components and 2 synthetic components respectively. The results show that the method can effectively detect the start and end time of the disturbance signal in six components, can provide timely alarm information for the daily operation and maintenance of the station operator, and provide a new method to judge earthquake precursors.
LIU Minghui,LI Jiang,SHA Chengning et al. Trigger Detection Method of Deformation Disturbance Signal Based on Wavelet Analysis[J]. jgg, 2023, 43(12): 1229-1234.
LIU Minghui,LI Jiang,SHA Chengning et al. Trigger Detection Method of Deformation Disturbance Signal Based on Wavelet Analysis[J]. jgg, 2023, 43(12): 1229-1234.