21 Feb 2023
 | 21 Feb 2023
Status: a revised version of this preprint is currently under review for the journal TC.

Ice plate deformation and cracking revealed by an in-situ distributed acoustic sensing array

Jun Xie, Xiangfang Zeng, Chao Liang, Sidao Ni, Risheng Chu, Feng Bao, Rongbing Lin, Benxin Chi, and Hao Lv

Abstract. The study of seismic sources and wave propagation in ice plate is helpful to understand the structure, migration, fracture mechanics, mass balance and other processes. However, due to extreme environment, in-situ dense seismic observations are rare and the dynamic changes of the ice plate remain poorly understood. We conduct a seismic experiment with distributed acoustic sensing array on a frozen lake. We excite water vibrations by under-water airgun shots. With an artificial intelligence method, we detected seismic signals including high frequency icequakes and low frequency events. Icequakes cluster along the fractures and correlate with the local temperature variation. The flexural-gravity wave reveals the property of the ice plate. Our study demonstrates the utility of DAS array as an in-situ dense seismic network in illuminating the internal failure process and dynamic deformation of ice plate such as ice shelf, which contributes to understanding and prediction of disintegrations of ice shelves.

Jun Xie et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2023-26', Anonymous Referee #1, 02 Apr 2023
    • AC1: 'Reply on RC1', Jun Xie, 13 Jun 2023
    • AC2: 'Reply on RC1', Jun Xie, 13 Jun 2023
  • RC2: 'Comment on tc-2023-26', Anonymous Referee #2, 06 May 2023
    • AC3: 'Reply on RC2', Jun Xie, 13 Jun 2023

Jun Xie et al.


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Short summary
Seismology can help study the mechanism of disintegration of floating ice plates. We conduct a seismic experiment on a frozen lake using a distributed acoustic sensing array. Icequakes and low frequency events are detected with an artificial intelligence method. Our study demonstrates the merit of distributed acoustic sensing array in illuminating the internal failure process and properties of ice shelf, which eventually contributes to understanding and prediction of ice shelf collapse.