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Review on key factors of microseismic source spectrum calculation in geotechnic engineering
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XinHao ZHU
Progress in Geophysics | 2026, 41(1) : 130 - 142
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Progress in Geophysics | 2026, 41(1): 130-142
Review on key factors of microseismic source spectrum calculation in geotechnic engineering
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XinHao ZHU
Affiliations
  • State Key Laboratory of Geomechanics and Geotechnical Engineering Safety, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
Published: 2026-02-20 doi: 10.6038/pg2026II0447
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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
朱新豪. 岩土工程微震震源谱计算关键因素研究综述. 地球物理学进展, 2026 , 41 (1) : 130 -142 . DOI: 10.6038/pg2026II0447
XinHao ZHU. Review on key factors of microseismic source spectrum calculation in geotechnic engineering[J]. Progress in Geophysics, 2026 , 41 (1) : 130 -142 . DOI: 10.6038/pg2026II0447
Year 2026 volume 41 Issue 1
328
151
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doi: 10.6038/pg2026II0447
  • Receive Date:2025-03-09
  • Online Date:2026-09-23
  • Published:2026-02-20
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  • Received:2025-03-09
  • Revised:2025-10-30
Affiliations
    State Key Laboratory of Geomechanics and Geotechnical Engineering Safety, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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