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Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study
Rockburst is a major disaster in deep mining, restricting the safety and the production efficiency of the Laohutai Coal Mine in Fushun, Liaoning Province. To predict and prevent coalmine rockbursts, a comprehensive method based on multi-instrument monitoring is proposed by using a YDD16 acoustic-ele...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819205/ https://www.ncbi.nlm.nih.gov/pubmed/36612712 http://dx.doi.org/10.3390/ijerph20010392 |
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author | Liu, Xiaofei Zhang, Siqing Wang, Enyuan Zhang, Zhibo Wang, Yong Yang, Shengli |
author_facet | Liu, Xiaofei Zhang, Siqing Wang, Enyuan Zhang, Zhibo Wang, Yong Yang, Shengli |
author_sort | Liu, Xiaofei |
collection | PubMed |
description | Rockburst is a major disaster in deep mining, restricting the safety and the production efficiency of the Laohutai Coal Mine in Fushun, Liaoning Province. To predict and prevent coalmine rockbursts, a comprehensive method based on multi-instrument monitoring is proposed by using a YDD16 acoustic-electromagnetic monitor and microseismic monitoring system, including microseismic (MS) monitoring, electromagnetic radiation (EMR) monitoring, and acoustic emission (AE) monitoring. Field investigation shows that MS, AE, and EMR signals have abnormal precursors before rockbursts in a new working face. Based on the fluctuation theory and D-S evidence theory, the multi-index geophysical monitoring and early warning technology for rockburst disasters in the Laohutai Coal Mine are established. The method has been applied to the prediction of rockbursts in the Laohutai Coal Mine. The application shows that the acoustic-electromagnetic synchronous monitoring and early warning technology can accurately identify the potential rockburst risk and trigger an early warning, which is more reliable than a single method. The case study of the Laohutai rockburst shows that the joint early warning method of multi-instrument comprehensive monitoring can predict the possibility of rockbursts. |
format | Online Article Text |
id | pubmed-9819205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98192052023-01-07 Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study Liu, Xiaofei Zhang, Siqing Wang, Enyuan Zhang, Zhibo Wang, Yong Yang, Shengli Int J Environ Res Public Health Article Rockburst is a major disaster in deep mining, restricting the safety and the production efficiency of the Laohutai Coal Mine in Fushun, Liaoning Province. To predict and prevent coalmine rockbursts, a comprehensive method based on multi-instrument monitoring is proposed by using a YDD16 acoustic-electromagnetic monitor and microseismic monitoring system, including microseismic (MS) monitoring, electromagnetic radiation (EMR) monitoring, and acoustic emission (AE) monitoring. Field investigation shows that MS, AE, and EMR signals have abnormal precursors before rockbursts in a new working face. Based on the fluctuation theory and D-S evidence theory, the multi-index geophysical monitoring and early warning technology for rockburst disasters in the Laohutai Coal Mine are established. The method has been applied to the prediction of rockbursts in the Laohutai Coal Mine. The application shows that the acoustic-electromagnetic synchronous monitoring and early warning technology can accurately identify the potential rockburst risk and trigger an early warning, which is more reliable than a single method. The case study of the Laohutai rockburst shows that the joint early warning method of multi-instrument comprehensive monitoring can predict the possibility of rockbursts. MDPI 2022-12-26 /pmc/articles/PMC9819205/ /pubmed/36612712 http://dx.doi.org/10.3390/ijerph20010392 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, Xiaofei Zhang, Siqing Wang, Enyuan Zhang, Zhibo Wang, Yong Yang, Shengli Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study |
title | Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study |
title_full | Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study |
title_fullStr | Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study |
title_full_unstemmed | Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study |
title_short | Multi-Index Geophysical Monitoring and Early Warning for Rockburst in Coalmine: A Case Study |
title_sort | multi-index geophysical monitoring and early warning for rockburst in coalmine: a case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819205/ https://www.ncbi.nlm.nih.gov/pubmed/36612712 http://dx.doi.org/10.3390/ijerph20010392 |
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