Rock and Soil Mechanics ›› 2020, Vol. 41 ›› Issue (12): 4116-4126.doi: 10.16285/j.rsm.2020.0345

• Testing Technology • Previous Articles     Next Articles

Advanced matching field location algorithm for infrasound signals of landslide based on normal wave model

ZHAO Jiu-bin1, 2, LIU Yuan-xue1, 2, YANG Jun-tang1, 2, BAI Zhun1, 2   

  1. 1. Department of Military Installations, Army Logistics University of PLA, Chongqing 401311, China; 2. Chongqing Key Laboratory of Geomechanics and Geoenvironment Protection, Army Logistics University of PLA, Chongqing 401311, China
  • Received:2020-03-26 Revised:2020-06-01 Online:2020-12-11 Published:2021-01-18
  • Supported by:
    This work was supported by the National Natural Science Foundation of China(41877219), the Natural Science Foundation of Chongqing (cstc2019jcyj-msxmX0585) and the Science and Technology Project of Planning and Natural Resources Bureau of Chongqing Government(KJ-2018016).

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Abstract: On the eve of the landslide disaster, bursting, friction and fracture of rock and soil mass in the sliding body will cause low frequency infrasound signals to propagate outward. Advance positioning based on infrasound signals has become a key technology for landslide monitoring and early warning. In this paper, the wave equation was transformed into Helmholtz equation by Fourier transform, and the Kernel function of the wave equation was obtained by Hankel transform. Based on this, we established the normal wave geological sound field model, and simulated the reflection-refraction relationship between the air, soil and rock interface. By matching the measured infrasound signals of the vertical receiving array with the copied infrasound signals of the propagation model, we proposed the advanced matching field location algorithm for infrasound signals of landslide, which searches for the coordinates at the maximum correlation coefficient as the predicted sound source. We compared the performance of three matching field algorithms and found that the variable-coefficient-likelihood matching field algorithm can be applied to landslide positioning technology due to its small sidelobe and accurate positioning, and found that the 12-element vertical array in the soil layer could be accurately positioned, but the error in the air was large. Finally, we applied the algorithm to the advanced positioning of landslides, and obtained the local failure position and predicted the slip line of landslide. This algorithm provides a new idea for the landslide advanced prediction and positioning technology.

Key words: advanced positioning of landslides, infrasound signal, normal wave model, matching field process

CLC Number: 

  • TU457
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