Abstract
Earthquake prediction is researched by using the information entropy principle, which provides that magnitude distribution model is not in conformity with G-R or fractal index model, and the reason that the mine earthquake magnitudes obey a certain probability distribution is explained. It is presented to calculate the corresponding information entropy taking advantage of existing mine earthquake measuring results, therefore, the occurrence of mine earthquake is forecasted according to calculation result of entropy. The mine earthquake takes place easily when entropy reduces. Forecast method is tested by the monitoring data of mine earthquake, and the result shows that the method is feasible. Our results provide a kind of effective method of mine earthquake statistical distribution modeling and information entropy prediction of mine earthquake.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Pan, Y.-S.: Study on the occurrence and damage law of mine earthquake. Post doctoral report, Institute of geology, China Earthquake Administration, Beijing (2003)
Pan, Y.-S., Zhao, Y,-F., Guan, F.-H., et al.: Study on rockburst monitoring and orientation system and its application. Chin. J. Rock Mechan. Eng. 26(5), 1002–1012 (2007)
Lu, C.-P., Dou, L.-M., Wu, X.-R., et al.: Experimental and empirical research on frequency-spectrum evolvement rule of rockburst precursory microseismic signals of coal-rock. Chin. J. Rock Mech. Eng. 27(3), 519–525 (2008)
Jiang, F.-X., Yang, S.-H., Cheng, Y,-H., et al.: A study on microseismic monitoring of rock burst in coal mine. Chin. J. Geophys. 49(5), 1511–1516 (2006)
Jiang, H.-K., Diao, S.-Z.: A preliminary study on the relationship between the fractal dimension D and the b value of seismicity model with fractal structure. Acta Seismol. Sin. 17(4), 524–527 (1995)
Qu, S.-X.: Relationship between fractal dimension and entropy. Chin. J. High Press. Phys. 7(2), 127–131 (1993)
Singh, C., Singh, A., Chadha, R.-K.: Fractal and B mapping in eastern Himalaya and southern Tibet. World Earthq. Ser. 3, 15–20 (2010)
Li, Y.-H., Liu, J.-P., Zhao, X.-D., et al.: Study on b-value and fractal dimension of acoustic emission during rock failure process. Rock Soil Mech. 30(9), 2559–2564 (2009)
Xie, H.-P., Gao, F., Zhou, H.-W., et al.: Fractal study on fracture and fragmentation of rock. J. Disaster Prev. Mitig. Eng. 23(4), 1–9 (2003)
Deng, G.-Z., Zhu, W.-S.: Basic characteristics of nonlinear unloading and entropy change of rock mass. J. Xi’an Min. Inst. 17(4), 332–335 (1997)
Su, R.-K.: Statistical Physics. Higher Education Press, Beijing (2004)
Yang, Z.-R.: Quantum Statistical Physics. Higher Education Press, Beijing (2007)
Zhu, X.-L.: Applied Information Theory. Tsinghua University Press, Beijing (2000)
Fu, Z.-Y.: Information Theory Basic Theory and Application. Electronic Industry Press, Beijing (2006)
Miyano, H.: Identification model based on the maximum information entropy principle. J. Math. Psychol. 45(1), 27–42 (2001)
Qiao, W.-P., Wang, Y.-Q.: Information entropy and error distribution fanction. Phys. Eng. 13(1), 26–28 (2003)
Feng, S.-Y.: Information entropy and maximum entropy principle. Water Power Sci. Technol. 22(3), 24–29 (1995)
Feng, L.-H.: The maximum entropy principle and the relation between earthquake frequency and magnitude. Seismol. Geol. 25(2), 260–265 (2003)
Cheng, E.-L., Zhang, M.-F.: The application of the maximum entropy principle in the earthquake recurrence relation. J. Seismol. Res. 10(2), 139–144 (1987)
Xu, C.-H., Ren, Q.-W., Li, R.: Entropy catastrophe criterion of surrounding rock stability. Chin. J. Rock Mech. Eng. 23(12), 1992–1995 (2004)
Wang, H.-T., Zhu, L.-R., Yang, M.-J., et al.: Information entropy analysis of seismic precursor observation data. Earthquake 5, 13–18 (1991)
Acknowledgement
This work is supported by the National Natural Science Foundation of China, grant NO. 51774173, the Natural Science Foundation of Liaoning Province, China, grant No. 201602351 and Open Fund for the State Key Laboratory of Seismological Dynamics, grant No. LED2015B01.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Jia, B., Zhou, L., Pan, Y., Yang, C., Li, Z. (2018). The Research on Method of Prediction Mine Earthquake Based on the Information Entropy Principle. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-99972-2_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99971-5
Online ISBN: 978-3-319-99972-2
eBook Packages: Computer ScienceComputer Science (R0)