ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Geohazards and Georisks
Volume 13 - 2025 | doi: 10.3389/feart.2025.1642350
Multi-source approach research on prediction and mechanism of mountain surface subsidence caused by underground mining
Provisionally accepted
- Jiangxi University of Science and Technology, Ganzhou, China
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Mining activities may trigger hazards such as mountain subsidence. In order to predict the amount of mountain subsidence and analyse the evolutionary characteristics of mountain subsidence. Based on the optical images and Small Baseline Subset InSAR (SBAS-InSAR) method, the mountain subsidence was circled and interpreted. The cumulative subsidence in the area from 2024 to 2026 was predicted by combining the Long Short-Term Memory (LSTM) method, and the mountain surface subsidence slip was derived using MatDEM.The results of the study show that mountain surface subsidence begins with the formation of a primary subsidence zone, which slowly leads to the formation of primary and secondary subsidence zones. Under the influence of the penetrating channel, the primary and secondary subsidence areas merge to form a larger subsidence area. The subsidence area gradually disintegrates into several small areas during the sliding process, and the small areas underneath are the main force of the subsidence movement, with a larger amount of slip displacement. Based on this study, it is concluded that the accuracy of the results obtained from the LSTM method is higher than the numerical simulation results, and the maximum cumulative subsidence is expected to reach 2,180 mm in 2026.
Keywords: underground mining, Mountain surface subsidence, Remote sensing image, SBAS-InSAR, LSTM, MatDEM
Received: 06 Jun 2025; Accepted: 28 Jul 2025.
Copyright: © 2025 Yang, Jiabo, Lan, Tang and Chen. 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: Xiang Lan, Jiangxi University of Science and Technology, Ganzhou, China
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