Study of roof water inrush forecasting based on EM-FAHP two-factor model

To solve the problem of predicting and evaluating coal mine roof water inrush accidents, based on the background of Hongliu coal mine, the relevant weight values of the main control factors of water inrush were determined based on the water-richness index method, combined with the entropy method and...

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Autores principales: Weitao Liu, Qiushuang Zheng, Lifu Pang, Weimeng Dou, Xiangxi Meng
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Lenguaje:EN
Publicado: AIMS Press 2021
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Acceso en línea:https://doaj.org/article/87efd4b8ee99445387c73bc8832c042a
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spelling oai:doaj.org-article:87efd4b8ee99445387c73bc8832c042a2021-11-08T03:03:11ZStudy of roof water inrush forecasting based on EM-FAHP two-factor model10.3934/mbe.20212541551-0018https://doaj.org/article/87efd4b8ee99445387c73bc8832c042a2021-06-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021254?viewType=HTMLhttps://doaj.org/toc/1551-0018To solve the problem of predicting and evaluating coal mine roof water inrush accidents, based on the background of Hongliu coal mine, the relevant weight values of the main control factors of water inrush were determined based on the water-richness index method, combined with the entropy method and FAHP two-factor method. The grid processing function of GIS and the kriging interpolation method are used to draw thematic maps of the main controlling factors, and the weight values of the water permeability indicators are coupled into the GIS. The FLAC<sup>3D</sup> numerical simulation software is used to analyze the water-conducting fracture zone after the mining of the Hongliu Coal Seam numerical simulation of development and water pressure distribution changes. The results show that the permeability hazard zoning map obtained by the EM-FAHP two-factor model is in line with the results of the damage height and the increased water pressure zone obtained by the numerical simulation.Weitao LiuQiushuang ZhengLifu PangWeimeng DouXiangxi MengAIMS Pressarticleentropy methodfuzzy analytic hierarchy processwater-richness index methodroof water inrushnumerical simulationBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 4987-5005 (2021)
institution DOAJ
collection DOAJ
language EN
topic entropy method
fuzzy analytic hierarchy process
water-richness index method
roof water inrush
numerical simulation
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
spellingShingle entropy method
fuzzy analytic hierarchy process
water-richness index method
roof water inrush
numerical simulation
Biotechnology
TP248.13-248.65
Mathematics
QA1-939
Weitao Liu
Qiushuang Zheng
Lifu Pang
Weimeng Dou
Xiangxi Meng
Study of roof water inrush forecasting based on EM-FAHP two-factor model
description To solve the problem of predicting and evaluating coal mine roof water inrush accidents, based on the background of Hongliu coal mine, the relevant weight values of the main control factors of water inrush were determined based on the water-richness index method, combined with the entropy method and FAHP two-factor method. The grid processing function of GIS and the kriging interpolation method are used to draw thematic maps of the main controlling factors, and the weight values of the water permeability indicators are coupled into the GIS. The FLAC<sup>3D</sup> numerical simulation software is used to analyze the water-conducting fracture zone after the mining of the Hongliu Coal Seam numerical simulation of development and water pressure distribution changes. The results show that the permeability hazard zoning map obtained by the EM-FAHP two-factor model is in line with the results of the damage height and the increased water pressure zone obtained by the numerical simulation.
format article
author Weitao Liu
Qiushuang Zheng
Lifu Pang
Weimeng Dou
Xiangxi Meng
author_facet Weitao Liu
Qiushuang Zheng
Lifu Pang
Weimeng Dou
Xiangxi Meng
author_sort Weitao Liu
title Study of roof water inrush forecasting based on EM-FAHP two-factor model
title_short Study of roof water inrush forecasting based on EM-FAHP two-factor model
title_full Study of roof water inrush forecasting based on EM-FAHP two-factor model
title_fullStr Study of roof water inrush forecasting based on EM-FAHP two-factor model
title_full_unstemmed Study of roof water inrush forecasting based on EM-FAHP two-factor model
title_sort study of roof water inrush forecasting based on em-fahp two-factor model
publisher AIMS Press
publishDate 2021
url https://doaj.org/article/87efd4b8ee99445387c73bc8832c042a
work_keys_str_mv AT weitaoliu studyofroofwaterinrushforecastingbasedonemfahptwofactormodel
AT qiushuangzheng studyofroofwaterinrushforecastingbasedonemfahptwofactormodel
AT lifupang studyofroofwaterinrushforecastingbasedonemfahptwofactormodel
AT weimengdou studyofroofwaterinrushforecastingbasedonemfahptwofactormodel
AT xiangximeng studyofroofwaterinrushforecastingbasedonemfahptwofactormodel
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