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A Multifactor Quantitative Assessment Model for Safe Mining after Roof Drainage in the Liangshuijing Coal Mine
[Image: see text] To prevent coal mine roof water damage, the water generally needs to be evacuated in advance. It can be mined with the water inrush risk assessed as safe. However, a single index is often employed in the water safety evaluation after the roof drainage, which causes a large gap betw...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350886/ https://www.ncbi.nlm.nih.gov/pubmed/35936470 http://dx.doi.org/10.1021/acsomega.2c02270 |
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author | Gao, Chengyue Wang, Dangliang Liu, Kerui Deng, Guowei Li, Jianfeng Jie, Baolei |
author_facet | Gao, Chengyue Wang, Dangliang Liu, Kerui Deng, Guowei Li, Jianfeng Jie, Baolei |
author_sort | Gao, Chengyue |
collection | PubMed |
description | [Image: see text] To prevent coal mine roof water damage, the water generally needs to be evacuated in advance. It can be mined with the water inrush risk assessed as safe. However, a single index is often employed in the water safety evaluation after the roof drainage, which causes a large gap between the evaluation results and the actual situation. Therefore, the evaluation cannot be effectively used to guide the safety mining in the working face. In this paper, based on the hydrogeological data of the Liangshuijing coal mine, a multifactor water inrush risk assessment model (IAHP-EWM) and multifactor index system are established for assessing the water inrush risk before and after the roof drainage. The improved AHP method and the entropy weight method are adopted in the model to determine the index weight. This combined way avoids the excessive subjectivity and objectivity of the index weight. A″ Fold undulation degree (F(ud))″ is innovatively proposed to quantify the impact of the spatial relief of folds on water inrush in the multifactor index system. The IAHP-EWM model is applied to evaluate the risk of roof water inrush in the 42205 working face of the Liangshuijing coal mine. The evaluation results show that the water inrush risk is ″high″ when the water is not dredged, and the water inrush risk is ″low″ after the water is dredged, which are consistent with the actual water inflow data and evaluation results, which verifies the accuracy of the model. The application results of the IAHP-EWM model in the 42202, 42203, and 42204 working faces verify its universal applicability in the Liangshuijing mining area. It can provide a reference for the evaluation of the roof water damage control effect during coal seam mining. |
format | Online Article Text |
id | pubmed-9350886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-93508862022-08-05 A Multifactor Quantitative Assessment Model for Safe Mining after Roof Drainage in the Liangshuijing Coal Mine Gao, Chengyue Wang, Dangliang Liu, Kerui Deng, Guowei Li, Jianfeng Jie, Baolei ACS Omega [Image: see text] To prevent coal mine roof water damage, the water generally needs to be evacuated in advance. It can be mined with the water inrush risk assessed as safe. However, a single index is often employed in the water safety evaluation after the roof drainage, which causes a large gap between the evaluation results and the actual situation. Therefore, the evaluation cannot be effectively used to guide the safety mining in the working face. In this paper, based on the hydrogeological data of the Liangshuijing coal mine, a multifactor water inrush risk assessment model (IAHP-EWM) and multifactor index system are established for assessing the water inrush risk before and after the roof drainage. The improved AHP method and the entropy weight method are adopted in the model to determine the index weight. This combined way avoids the excessive subjectivity and objectivity of the index weight. A″ Fold undulation degree (F(ud))″ is innovatively proposed to quantify the impact of the spatial relief of folds on water inrush in the multifactor index system. The IAHP-EWM model is applied to evaluate the risk of roof water inrush in the 42205 working face of the Liangshuijing coal mine. The evaluation results show that the water inrush risk is ″high″ when the water is not dredged, and the water inrush risk is ″low″ after the water is dredged, which are consistent with the actual water inflow data and evaluation results, which verifies the accuracy of the model. The application results of the IAHP-EWM model in the 42202, 42203, and 42204 working faces verify its universal applicability in the Liangshuijing mining area. It can provide a reference for the evaluation of the roof water damage control effect during coal seam mining. American Chemical Society 2022-07-24 /pmc/articles/PMC9350886/ /pubmed/35936470 http://dx.doi.org/10.1021/acsomega.2c02270 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Gao, Chengyue Wang, Dangliang Liu, Kerui Deng, Guowei Li, Jianfeng Jie, Baolei A Multifactor Quantitative Assessment Model for Safe Mining after Roof Drainage in the Liangshuijing Coal Mine |
title | A Multifactor Quantitative
Assessment Model for Safe
Mining after Roof Drainage in the Liangshuijing Coal Mine |
title_full | A Multifactor Quantitative
Assessment Model for Safe
Mining after Roof Drainage in the Liangshuijing Coal Mine |
title_fullStr | A Multifactor Quantitative
Assessment Model for Safe
Mining after Roof Drainage in the Liangshuijing Coal Mine |
title_full_unstemmed | A Multifactor Quantitative
Assessment Model for Safe
Mining after Roof Drainage in the Liangshuijing Coal Mine |
title_short | A Multifactor Quantitative
Assessment Model for Safe
Mining after Roof Drainage in the Liangshuijing Coal Mine |
title_sort | multifactor quantitative
assessment model for safe
mining after roof drainage in the liangshuijing coal mine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350886/ https://www.ncbi.nlm.nih.gov/pubmed/35936470 http://dx.doi.org/10.1021/acsomega.2c02270 |
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