Cargando…

Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR

Most of the coal mines in Southwest China are located in mountainous areas with high vegetation coverage, and most activities are carried out under the mountains. The deformation monitoring and mechanical behavior analysis of the mining area helps reveal the typical mountain deformation and failure...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Maoqi, Long, Sichun, Wu, Wenhao, Liu, Ping, Zhang, Liya, Zhu, Chuanguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611886/
https://www.ncbi.nlm.nih.gov/pubmed/36298162
http://dx.doi.org/10.3390/s22207811
_version_ 1784819638255747072
author Liu, Maoqi
Long, Sichun
Wu, Wenhao
Liu, Ping
Zhang, Liya
Zhu, Chuanguang
author_facet Liu, Maoqi
Long, Sichun
Wu, Wenhao
Liu, Ping
Zhang, Liya
Zhu, Chuanguang
author_sort Liu, Maoqi
collection PubMed
description Most of the coal mines in Southwest China are located in mountainous areas with high vegetation coverage, and most activities are carried out under the mountains. The deformation monitoring and mechanical behavior analysis of the mining area helps reveal the typical mountain deformation and failure mechanism caused by underground mining activities and reduce the risk of mountain collapse in the mining area. In this manuscript, a research method for mountain stability in mining areas is proposed, which combines InSAR deformation monitoring with numerical analysis. Based on the high-precision deformation information obtained by DS-InSAR and the landslide range, a three-dimensional explicit finite difference numerical analysis method was used to reconstruct the landslide model. According to the layout of the coal mining working face, the variation mechanism of overlying stratum stress and the mountain slip in the coal mining process is inverted, and the mechanism of mountain failure and instability in the mining area is analysed. Based on the sentinel data, the experiment performed time series monitoring and inversion analysis of the mountain collapse in Nayong, Guizhou, China. The results show that mining activities a certain distance from the mountain will affect mountain stability, and there are specific mechanisms. From 2015 to 2017, the stress redistribution of overlying strata above the goaf area resulted in dense longitudinal cracks in the landslide body due to coal mining. The mountain is in a continuous damage state, and the supporting force to prevent collapse continues to decrease, resulting in a gradual decrease in landslide stability. Both the time series DS-InSAR monitoring results and numerical simulation results verify the actual occurrence and development of the on-site subsidence.
format Online
Article
Text
id pubmed-9611886
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96118862022-10-28 Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR Liu, Maoqi Long, Sichun Wu, Wenhao Liu, Ping Zhang, Liya Zhu, Chuanguang Sensors (Basel) Article Most of the coal mines in Southwest China are located in mountainous areas with high vegetation coverage, and most activities are carried out under the mountains. The deformation monitoring and mechanical behavior analysis of the mining area helps reveal the typical mountain deformation and failure mechanism caused by underground mining activities and reduce the risk of mountain collapse in the mining area. In this manuscript, a research method for mountain stability in mining areas is proposed, which combines InSAR deformation monitoring with numerical analysis. Based on the high-precision deformation information obtained by DS-InSAR and the landslide range, a three-dimensional explicit finite difference numerical analysis method was used to reconstruct the landslide model. According to the layout of the coal mining working face, the variation mechanism of overlying stratum stress and the mountain slip in the coal mining process is inverted, and the mechanism of mountain failure and instability in the mining area is analysed. Based on the sentinel data, the experiment performed time series monitoring and inversion analysis of the mountain collapse in Nayong, Guizhou, China. The results show that mining activities a certain distance from the mountain will affect mountain stability, and there are specific mechanisms. From 2015 to 2017, the stress redistribution of overlying strata above the goaf area resulted in dense longitudinal cracks in the landslide body due to coal mining. The mountain is in a continuous damage state, and the supporting force to prevent collapse continues to decrease, resulting in a gradual decrease in landslide stability. Both the time series DS-InSAR monitoring results and numerical simulation results verify the actual occurrence and development of the on-site subsidence. MDPI 2022-10-14 /pmc/articles/PMC9611886/ /pubmed/36298162 http://dx.doi.org/10.3390/s22207811 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Maoqi
Long, Sichun
Wu, Wenhao
Liu, Ping
Zhang, Liya
Zhu, Chuanguang
Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR
title Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR
title_full Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR
title_fullStr Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR
title_full_unstemmed Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR
title_short Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR
title_sort instability monitoring and numerical analysis of typical coal mines in southwest china based on ds-insar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611886/
https://www.ncbi.nlm.nih.gov/pubmed/36298162
http://dx.doi.org/10.3390/s22207811
work_keys_str_mv AT liumaoqi instabilitymonitoringandnumericalanalysisoftypicalcoalminesinsouthwestchinabasedondsinsar
AT longsichun instabilitymonitoringandnumericalanalysisoftypicalcoalminesinsouthwestchinabasedondsinsar
AT wuwenhao instabilitymonitoringandnumericalanalysisoftypicalcoalminesinsouthwestchinabasedondsinsar
AT liuping instabilitymonitoringandnumericalanalysisoftypicalcoalminesinsouthwestchinabasedondsinsar
AT zhangliya instabilitymonitoringandnumericalanalysisoftypicalcoalminesinsouthwestchinabasedondsinsar
AT zhuchuanguang instabilitymonitoringandnumericalanalysisoftypicalcoalminesinsouthwestchinabasedondsinsar