PDF(1902 KB)
Review on key factors of microseismic source spectrum calculation in geotechnic engineering
XinHao ZHU
Prog Geophy ›› 2026, Vol. 41 ›› Issue (1) : 130-142.
PDF(1902 KB)
PDF(1902 KB)
Review on key factors of microseismic source spectrum calculation in geotechnic engineering
Microseismic monitoring is widely used in the analysis of engineering disasters such as mines and tunnels, all of which are based on microseismic source parameters. The calculation of microseismic source spectrum is the basis of source parameter calculation. Once the source spectrum is determined, most of the source parameters can be calculated accordingly. However, research into the calculation process and method of microseismic source spectra is limited. Therefore, we investigated the basic steps and methods of microseismic source spectrum calculation in detail. This includes four main steps: waveform processing and source location; signal spectrum calculation; signal spectrum correction and source spectrum determination. Signal processing involves removing the instrument response, filtering and arrival picking with localisation to provide basic parameters for subsequent calculations. Signal spectrum calculation involves not only common methods such as the discrete Fourier transform, but also the lag-window spectral technique and multi-taper methods. Signal spectrum correction involves geometric spreading, site effects, and attenuation, which are all influenced by multiple and complex factors. Source spectrum determination initially requires the theoretical source spectrum model to be determined, followed by the selection of the objective function and fitting method. This study briefly analyses the impact of these factors on the calculation of the microseismic source spectrum and suggests possible future research directions. These results can be used as a reference for calculating the source spectrum, thereby establishing a foundation for calculating source parameters and ultimately providing theoretical support for standardising and normalising engineering microseismic monitoring and the quantitative warning of engineering disasters.
Microseismic monitoring / Source spectra / Source parameter / Attenuation
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Feustel A J. 1995. Seismic attenuation in underground mines: Measurement techniques and applications to site characterization[Ph. D. thesis]. Kingston, Canada: Queen's University.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Liu H. 2018. Near field radiant energy assessment of rock failure and engineering application based on Brune model[Master's thesis](in Chinese). Chengdu: Chengdu University of Technology.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Spottiswoode S M. 1993. Seismic attenuation in deep-level mines. //Proceedings of the 3rd International Symposium on Rockbursts and Seismicity in Mines. Balkema: Rotterdam, 409-414.
|
|
|
|
Su Y J. 2009. Inversion tomography of the seismic wave attenuation (Q value) structure in Yunnan region[Ph. D. thesis](in Chinese). Hefei: University of Science and Technology of China.
|
|
|
|
|
|
|
|
|
|
Wang Q C. 2007. Tomography of scattering coefficient in the crust[Ph. D. thesis](in Chinese). Beijing: Institute of Geophysics China Earthquake Administration.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Zhu X Y. 2011. Comprehensive study on seismic wave propagation related information such as attenuation and site response[Ph. D. thesis](in Chinese). Beijing: Institute of Geophysics China Earthquake Administration.
|
|
|
|
|
|
|
|
|
|
刘辉. 2018. 基于Brune模型岩石破裂近场辐射能评估及工程应用[硕士论文]. 成都: 成都理工大学.
|
|
|
|
苏有锦. 2009. 云南地区地震波衰减(Q值)结构反演成像研究[博士论文]. 合肥: 中国科学技术大学.
|
|
|
|
王勤彩. 2007. 地壳散射系数层析成像的研究[博士论文]. 北京: 中国地震局地球物理研究所.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
朱新运. 2011. 衰减、场地响应等地震波传播相关信息综合研究[博士论文]. 北京: 中国地震局地球物理研究所.
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感谢审稿专家提出的修改意见和编辑部的大力支持!
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