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Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata

[Image: see text] Coal mining under thick loose strata in North China leads to ground subsidence, which is a natural result of hydromechanical coupling (fluid flow coupled with solid deformation). Therefore, the land surrounding the mining areas is greatly damaged. In this study, the combined weight...

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Autores principales: Wang, Zaiyong, Zhang, Qi, Shao, Jianli, Zhang, Wenquan, Wu, Xintao, Lei, Yu, Wu, Xunan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8697389/
https://www.ncbi.nlm.nih.gov/pubmed/34963944
http://dx.doi.org/10.1021/acsomega.1c04970
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author Wang, Zaiyong
Zhang, Qi
Shao, Jianli
Zhang, Wenquan
Wu, Xintao
Lei, Yu
Wu, Xunan
author_facet Wang, Zaiyong
Zhang, Qi
Shao, Jianli
Zhang, Wenquan
Wu, Xintao
Lei, Yu
Wu, Xunan
author_sort Wang, Zaiyong
collection PubMed
description [Image: see text] Coal mining under thick loose strata in North China leads to ground subsidence, which is a natural result of hydromechanical coupling (fluid flow coupled with solid deformation). Therefore, the land surrounding the mining areas is greatly damaged. In this study, the combined weight (CW) method and the fuzzy matter-element analysis (FMEA) method were used to analyze and evaluate the control effect of subsiding land. Overall, 20 sets of geological samples were collected from this area. The influencing factors and the corresponding weights for the control effect of subsiding land were comprehensively analyzed, and an FMEA model was built to predict and verify the results. The results showed that (1) the two evaluation indicators with the most significant impact on land reclamation were the degree of integration and the economic and social benefits and (2) among the 20 sets of samples selected, the predicted conclusions of 17 sets were consistent with the actual engineering situations, which led to an accuracy of 85%. In other words, the CW-FMEA model showed good reliability for evaluating the control effect of subsiding land, which can provide scientific references for control and quality evaluations of land subsidence due to coal mining.
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spelling pubmed-86973892021-12-27 Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata Wang, Zaiyong Zhang, Qi Shao, Jianli Zhang, Wenquan Wu, Xintao Lei, Yu Wu, Xunan ACS Omega [Image: see text] Coal mining under thick loose strata in North China leads to ground subsidence, which is a natural result of hydromechanical coupling (fluid flow coupled with solid deformation). Therefore, the land surrounding the mining areas is greatly damaged. In this study, the combined weight (CW) method and the fuzzy matter-element analysis (FMEA) method were used to analyze and evaluate the control effect of subsiding land. Overall, 20 sets of geological samples were collected from this area. The influencing factors and the corresponding weights for the control effect of subsiding land were comprehensively analyzed, and an FMEA model was built to predict and verify the results. The results showed that (1) the two evaluation indicators with the most significant impact on land reclamation were the degree of integration and the economic and social benefits and (2) among the 20 sets of samples selected, the predicted conclusions of 17 sets were consistent with the actual engineering situations, which led to an accuracy of 85%. In other words, the CW-FMEA model showed good reliability for evaluating the control effect of subsiding land, which can provide scientific references for control and quality evaluations of land subsidence due to coal mining. American Chemical Society 2021-12-08 /pmc/articles/PMC8697389/ /pubmed/34963944 http://dx.doi.org/10.1021/acsomega.1c04970 Text en © 2021 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 Wang, Zaiyong
Zhang, Qi
Shao, Jianli
Zhang, Wenquan
Wu, Xintao
Lei, Yu
Wu, Xunan
Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata
title Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata
title_full Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata
title_fullStr Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata
title_full_unstemmed Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata
title_short Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata
title_sort mathematical evaluation on the control of mining-induced ground subsidence in thick loose strata
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8697389/
https://www.ncbi.nlm.nih.gov/pubmed/34963944
http://dx.doi.org/10.1021/acsomega.1c04970
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