Research on Collapse Detection in Old Coal Mine Goafs Based on Space–Sky–Earth Remote Sensing Survey
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Published:2024-03-27
Issue:7
Volume:16
Page:1164
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ISSN:2072-4292
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Container-title:Remote Sensing
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language:en
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Short-container-title:Remote Sensing
Author:
Yao Jiayi1, Han Keming2, Zhu Wu1ORCID, Cao Yanbo1ORCID
Affiliation:
1. School of Geological Engineering and Geomatics, Chang’an University, Weishui Campus of Chang’an University, Weiyang District, Xi’an 710000, China 2. CCTEG Ecological Environment Technology Co., Ltd., Beijing 100013, China
Abstract
A considerable number of coal mines employed room and pillar mining in the last century in northern China, where the goaf remained stable for a period of time; however, with the increased exposure of coal pillars, their collapse may gradually increase. The stability assessment of these old rooms and pillar goafs is challenging due to their concealment, irregular mining patterns, and the long passage of time. The methodology developed in this study, based on “space-sky-earth” remote sensing such as InSAR to trace historical deformation, the UAV observation of current surface damage, and comparison of mining spaces, can rapidly detect on a large scale the collapse of old goafs and the trend of damage. This study is conducted with an example of a coal mine in Yulin, Northern China, where obtained quantitative surface deformation values were integrated with qualitative surface damage interpretation results, followed by a yearly analysis of the overlying rock movement in accordance with the underground coal mining process. The results show that from 2007 to 2021, corresponding surface deformation and damage occurred following mining progress. However, the room and pillar goaf areas had not undergone any surface deformation, nor had there been incidents of landslides or ground fissures; therefore, it was speculated that no roof collapse had occurred in this region. The surface deformation and damage associated with underground coal mining are complex and influenced by the coal seam occurrence, mining methods, strata lithology, terrain slope, temporal evolution, and anthropogenic modifications. These phenomena are representative of the coal mining area, and this methodology can provide a reference for similar endeavors.
Funder
Ministry of Science and Technology of the People’s Republic of China National Natural Science Foundation of China CCTEG Ecological Environment Technology Co., Ltd
Reference17 articles.
1. Peng, S.P., Zhang, B., and Sun, X.D. (2020). Strategic Research on Ecological Development of Closed Mines, Science Press. 2. Jin, Z.X., Zhang, N., and Liu, W.G. (2020). Current Status of Resource Development and Utilization of Abandoned Mines in China and Abroad, Science Press. 3. Surface deformation induced by water influx in the abandoned coal mines in Limburg, The Netherlands observed by satellite radar interferometry;Miguel;J. Appl. Geophys.,2013 4. Chen, B.Q., Yu, H., Zhang, X., Li, Z.H., Kang, J.R., and Yu, Y. (2022). Time-Varying Surface Deformation Retrieval and Prediction in Closed Mines through Integration of SBAS InSAR Measurements and LSTM Algorithm. Remote Sens., 14. 5. Research progress and prospects on monitoring, prediction, and stability assessment of secondary subsidence in closed mines;Chen;J. Coal Sci. Eng.,2022
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