ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Geohazards and Georisks
Volume 13 - 2025 | doi: 10.3389/feart.2025.1612720
This article is part of the Research TopicNatural Hazards Accompanying Underground Exploitation of Mineral Raw MaterialsView all 6 articles
Research on evolution characteristics and correlation relationship of microseismic multidimensional information in mining process
Provisionally accepted
- 1Production Department of Energy Division of Shanxi Lu'an Chemical Group, Changzhi, China
- 2School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, Beijing Municipality, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Microseismic monitoring technology plays a critical role in predicting rockbursts in coal mines, yet the deeper potential embedded in microseismic data remains insufficiently explored. This study investigates the evolution characteristics of microseismic signals across four key dimensions-time, energy, space, and frequency-and quantitatively analyzes their interrelationships. The results show that both the multifractal parameter Δα and spatial correlation length exhibit a clear upward trend prior to roof weighting and gradually decline after pressure release. In contrast, the main frequency and b-value decrease as roof weighting approaches and recover afterward. These four indicators demonstrate a precursor period of approximately 2-4 days. Correlation analysis further reveals that all four parameters are not only significantly correlated with working face pressure but also exhibit long-range dependence, with the multifractal parameter Δα showing the strongest correlation. These findings contribute to improving the predictive effectiveness of microseismic monitoring in dynamic disaster early warning.
Keywords: microseismic activity1, multidimensional information2, evolution characteristics3, correlation relationship4, coal mine5
Received: 16 Apr 2025; Accepted: 14 May 2025.
Copyright: © 2025 Guo, Li and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Haotian Li, School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, 100083, Beijing Municipality, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.