4.5 Article

Characteristics and Identification Method of Natural and Mine Earthquakes: A Case Study on the Hegang Mining Area

Journal

MINERALS
Volume 12, Issue 10, Pages -

Publisher

MDPI
DOI: 10.3390/min12101256

Keywords

earthquake; mine earthquake; characteristics of ground motion; identification method

Funding

  1. Natural Science Foundation of Heilongjiang Province [ZD2019E009]
  2. China Postdoctoral Fund Project [2021M690946]
  3. postdoctoral Fund Project of Heilongjiang Province [LBH-Z20094]
  4. Scientific Research Fund of Institute of Engineering Mechanics, China Earthquake Administration [2018D12]

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This study compares and analyzes the ground motion characteristics of natural and mine earthquakes in the Hegang area, and selects key identification parameters to propose a new comprehensive gradient discriminant method. The method can accurately identify natural and mine earthquakes, providing a methodological and theoretical support for safety production and disaster warning in mining areas.
Accurate identification of natural and mine earthquakes in mining areas is of great significance to the construction of secondary disaster warning networks. Based on 490 records of natural and mine earthquakes in the Hegang area from 2006 to 2017, this paper compares and analyzes the ground motion characteristics of the research samples (150 earthquake records and 200 mine earthquake records) and selects the key identification parameters of dominant frequency, Pm/Tc, and Sm/Tc. The correct identification rate of the test samples (60 seismic records and 80 mine earthquake records) is 95.7%, 91.4%, and 93.6%, respectively, and the actual threat rate is 90.8%, 83.3%, and 86.3%, respectively. Finally, based on the selected key identification parameters, a three-parameter comprehensive gradient discriminant method is proposed. The correct identification rate and actual threat rate are 99.3% and 98.4%, respectively, which can basically accurately identify natural and mine earthquakes. It provides a certain method and theoretical support for the mining area vibration identification method, safety production, and disaster warning.

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