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Micro-seismic source location determined by a modified objective function

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Abstract

The exact localization of micro-seismic sources is of significant importance in micro-seismic monitoring technology. The methods determining arrival time and time difference of micro-seismic source locations in engineering are introduced. The factors affecting the accuracy of the micro-seismic source location are analysed. To improve the accuracy of micro-seismic source localization, an objective function is used to examine the source, and a new method for locating micro-seismic sources is proposed. To make full use of the monitoring data of each geophone, the L2-norm and variance function are combined to improve the overall accuracy of the positioning and the stationarity of the objective function of each geophone equation. Finally, a particle swarm optimization is employed to search for the source location. The effectiveness of the improved method is verified by two case studies, and the results indicate that the proposed method is better than conventional approaches. The proposed method is simple and easy to perform.

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References

  1. Behrouz G, Danial JA, Mohsen H, Masoud M (2016) Prediction of seismic slope stability through combination of particle swarm optimization and neural network. Eng Comput 32:85–97

    Article  Google Scholar 

  2. Cheng MY, Hoang ND (2015) Typhoon-induced slope collapse assessment using a novel bee colony optimized support vector classifier. Nat Hazards 78:1961–1978

    Article  Google Scholar 

  3. Chen BR, Feng XT, Li SL, Yuan JP, Xu SC (2009) Microseismic sources location with hierarchical strategy based on particle swarm optimization. Chin J Rock Mech Eng 28(4):740–749 (in Chinese)

    Google Scholar 

  4. Dai F, Li B, Xu NW, Fan YL, Zhang CQ (2016) Deformation forecasting and stability analysis of large-scale underground powerhouse caverns from microseismic monitoring. Int J Rock Mech Min Sci 86:269–281

    Article  Google Scholar 

  5. Dong LJ, Li XB (2013) A microseismic/acoustic emission source location method using arrival times of PS waves for unknown velocity system. Int J Distrib Sens Netw. https://doi.org/10.1155/2013/307489

    Article  Google Scholar 

  6. Douglas A (1967) Joint epicenter determination. Nature 215:45–48

    Article  Google Scholar 

  7. Ewan JS, Milton OK, Lindsay ML (2003) Source parameters of acoustic emission events and scaling with mining-induced seismicity. J Geophys Res 108(B9):2418

    Google Scholar 

  8. Felix G, Stefan E (2016) Installation of a microseismic monitoring system in the Mittersill scheelite mine. Geomech Tunn 9(5):515–523

    Article  Google Scholar 

  9. Feng GL, Feng XT, Chen BR, Xiao YX, Jiang Q (2015) Sectional velocity model for microseismic source location in tunnels. Tunn Undergr Space Technol 45:73–83

    Article  Google Scholar 

  10. Gao YT, Wu QL, Wu SC, Ji MW, Yang K, Liu C (2015) Source parameters inversion based on minimum error principle. J Cent South Univ (Sci Technol) 46(8):3054–3060 (in Chinese)

    Google Scholar 

  11. Geiger L (1912) Probability method for the determination of earthquake epicentres from the time of arrival only. Bull St Louis Univ 8:60–71

    Google Scholar 

  12. Ge MC (2012) Source location error analysis and optimization methods. J Rock Mech Geotech Eng 4(1):1–10

    Article  MathSciNet  Google Scholar 

  13. He J, Dou LM (2012) Gradient principle of horizontal stress inducing rock burst in coal mine. J Cent South Univ 19:2926–2932

    Article  Google Scholar 

  14. Jane MA, Peter KK, Brad PS (1998) Use of microseismic source parameters for rockburst hazard. Pure Appl Geophys 153:41–65

    Article  Google Scholar 

  15. Li A, Dai F, Xu NW, Gu GK, Hu ZH (2019) Analysis of a complex flexural toppling failure of large underground caverns in layered rock masses. Rock Mech Rock Eng. https://doi.org/10.1007/s00603-019-01760-5

    Article  Google Scholar 

  16. Li B, Li T, Xu NW, Dai F, Chen WF, Tan YS (2018) Stability assessment of the left bank slope of the Baihetan Hydropower Station, Southwest China. Int J Rock Mech Min Sci 104:34–44

    Article  Google Scholar 

  17. Li J, Wu SC, Gao YT, Li LJ, Zhou Y (2015) An improved multidirectional velocity model for micro-seismic monitoring in rock engineering. J Cent South Univ 22:2348–2358

    Article  Google Scholar 

  18. Li LL, He C, Tan YY (2017) Study of recording system and objective function for microseismic source location. Acta Scientiarum Naturalium Universitatis Pekinensis 53(2):329–343 (in Chinese)

    Google Scholar 

  19. Li N, Ge MC, Wang EY (2014) Two types of multiple solutions for microseismic source location based on arrival-time-difference approach. Nat Hazards 73:829–847

    Article  Google Scholar 

  20. Li N, Wang EY, Ge MC, Sun ZY, Sun ZY (2014) A nonlinear microseismic source location method based on simplex method and its residual analysis. Arab J Geosci 7:4477–4486

    Article  Google Scholar 

  21. Li XB, Dong LJ (2011) Comparison of two methods in acoustic emission source location using four sensors without measuring sonic speed. Sens Lett 9(5):1501–1505

    Google Scholar 

  22. Li Y, Yang TH, Liu HL, Wang H, Hou XG, Zhang PH, Wang PT (2016) Real-time microseismic monitoring and its characteristic analysis in working face with high-intensity mining. J Appl Geophys 132:152–163

    Article  Google Scholar 

  23. Ma CC, Li TB, Xing HL, Zhang H, Wang MJ, Liu TY, Chen GQ, Chen ZQ (2016) Brittle rock modeling approach and its validation using excavation-induced micro-seismicity. Rock Mech Rock Eng 49:3175–3188

    Article  Google Scholar 

  24. Salvoni M, Dight PM (2016) Rock damage assessment in a large unstable slope from microseismic monitoring-MMG Century mine (Queensland, Australia) case study. Eng Geol 210:45–56

    Article  Google Scholar 

  25. Spence W (1980) Relative epicenter determination using P-wave arrival-time differences. Bull Seismol Soc Am 70(1):171–183

    Google Scholar 

  26. Van AG, Butler AG (1993) Applications of quantitative seismology in South African gold mines. In: Proceedings of 3rd international symposium rockbursts and seismicity in mines, pp 41–48

  27. Wu LZ, Zhou Y, Sun P, Shi JS, Liu GG, Bai LY (2017) Laboratory characterization of rainfall-induced loess slope failure. CATENA 150:1–8

    Article  Google Scholar 

  28. Wu LZ, Deng H, Huang RQ, Zhang LM, Guo XG, Zhou Y (2019) Evolution of lakes created by landslide dams and the role of dam erosion: a case study of the Jiajun landslide on the Dadu River, China. Quat Int 503A:41–50

    Article  Google Scholar 

  29. Wu LZ, Shao GQ, Huang RQ, He Q (2018) Overhanging Rock: Theoretical, Physical and Numerical Modeling. Rock Mech Rock Eng 51(11):3585–3597

    Article  Google Scholar 

  30. Wu LZ, Li SH, Zhang M, Zhang LM (2019) A new method for classifying rock mass quality based on MCS and TOPSIS. Environl Earth Sci 78(6):199

    Article  Google Scholar 

  31. Xu NW, Li TB, Dai F, Zhang R, Tang CA, Tang LX (2016) Microseismic monitoring of strainburst activities in deep tunnels at the Jinping II hydropower station, China. Rock Mech Rock Eng 49:981–1000

    Article  Google Scholar 

  32. Zhang M, Wu LZ, Zhang JC, Li LP (2019) The 2009 Jiweishan rock avalanche, Wulong, China: deposit characteristics and implications for its fragmentation. Landslides 16(5):893–906

    Article  Google Scholar 

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Acknowledgements

We wish to thank the National Natural Science Foundation of China (No. 41672282), State Key Laboratory of Geohazard Prevention and Geoenvironment Prevention Independent Research Project (No. SKLGP2017Z003), the Opening Fund of the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology) (No. SKLGP2017K008), and the first author thanks the Innovative Team of Chengdu University of Technology.

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Authors and Affiliations

  1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, Sichuan, People’s Republic of China

    L. Z. Wu, S. H. Li & R. Q. Huang

  2. Department of Civil, Surveying and Environmental Engineering, ARC Centre of Excellence for Geotechnical Science and Engineering, The University of Newcastle, Callaghan, NSW, 2308, Australia

    S. Y. Wang

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  1. L. Z. Wu
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Correspondence to R. Q. Huang.

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Wu, L.Z., Li, S.H., Huang, R.Q. et al. Micro-seismic source location determined by a modified objective function. Engineering with Computers 36, 1849–1856 (2020). https://doi.org/10.1007/s00366-019-00800-6

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  • DOI: https://doi.org/10.1007/s00366-019-00800-6

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