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The Research on Method of Prediction Mine Earthquake Based on the Information Entropy Principle

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 920))

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.

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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.

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Correspondence to Baoxin Jia .

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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

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  • DOI: https://doi.org/10.1007/978-3-319-99972-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99971-5

  • Online ISBN: 978-3-319-99972-2

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