A method for predicting the rock strata subsidence boundary at deep-buried mining areas with thin bedrock and Thick soil layer

Surface subsidence resulting from underground coal mining is a significant geological hazard. Researching the features of surface subsidence and rock strata subsidence boundaries (RSSB) is crucial for protecting surface structures. Traditional methods, such as the angle of draw, can predict the RSSB reasonably well. However, these methods overlook the influence of rock strata movement processes (RSMP) on subsidence. In this study, based on the combination principle, a new RSSB prediction method is developed considering the deformation relationships for ‘roof, RSMP, and thick soil layer’, applicable to deep-buried mining areas with thin bedrock and thick soil layers. The results indicate that RSMP primarily involves four leading distinct stages in the evolution of rock strata subsidence and RSSB. The subsidence coefficient of Zhaogu No. 2 coal mine is 0.97, and the angle of draw is 61.79°. The main key layer controls the bedrock subsidence boundary, making the slope of the curve low; the increase in tensile deformation caused an increase in the slope of the curve as the burial depth of the thick soil layer decreased. The RSSB exhibits an overall upward concave power function pattern. Validation demonstrates that the average error of the new method is 7.3% for predicting the RSSB under the influence of different RSMP. The proposed method offers an effective method for assessing surface subsidence hazards.

Authors

Institutions

Publication Details

Journal
Environmental Earth Sciences
Published
2026-05-12
DOI
https://doi.org/10.1007/s12665-026-12832-5
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A method for predicting the rock strata subsidence boundary at deep-buried mining areas with thin bedrock and Thick soil layer

Shanxi Wu, Xiujuan Li, Yi Wang, Boyuan Cheng et al.
Environmental Earth Sciences
Rock Mechanics and Modeling
article

A method for predicting the rock strata subsidence boundary at deep-buried mining areas with thin bedrock and Thick soil layer

Shanxi Wu, Xiujuan Li, Yi Wang, Boyuan Cheng, Weijie Wei, Shenyi Zhang
article en

Abstract

Surface subsidence resulting from underground coal mining is a significant geological hazard. Researching the features of surface subsidence and rock strata subsidence boundaries (RSSB) is crucial for protecting surface structures. Traditional methods, such as the angle of draw, can predict the RSSB reasonably well. However, these methods overlook the influence of rock strata movement processes (RSMP) on subsidence. In this study, based on the combination principle, a new RSSB prediction method is developed considering the deformation relationships for ‘roof, RSMP, and thick soil layer’, applicable to deep-buried mining areas with thin bedrock and thick soil layers. The results indicate that RSMP primarily involves four leading distinct stages in the evolution of rock strata subsidence and RSSB. The subsidence coefficient of Zhaogu No. 2 coal mine is 0.97, and the angle of draw is 61.79°. The main key layer controls the bedrock subsidence boundary, making the slope of the curve low; the increase in tensile deformation caused an increase in the slope of the curve as the burial depth of the thick soil layer decreased. The RSSB exhibits an overall upward concave power function pattern. Validation demonstrates that the average error of the new method is 7.3% for predicting the RSSB under the influence of different RSMP. The proposed method offers an effective method for assessing surface subsidence hazards.

Environmental Earth SciencesVol. 85(10)
China University of Mining and Technology (CN), Kunming Metallurgical Research Institute (CN), China Coal Research Institute (China) (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 8%
Rock Mechanics and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.