Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining Depths

Deep mining is the current and future mining focus in the coalfield of North China. Therefore, it is necessary to establish a water inrush assessment method suitable for deep mining. The conventional water inrush coefficient (T) method is simple to use, but its accuracy is low when the mining depth...

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Main Authors: Jianghui He, Wenping Li, Wei Qiao, Zhi Yang, Qiqing Wang
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2021/9948763
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spelling doaj-ae04aec4aa52422f87406a15701383022021-07-19T01:03:54ZengHindawi-WileyGeofluids1468-81232021-01-01202110.1155/2021/9948763Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining DepthsJianghui He0Wenping Li1Wei Qiao2Zhi Yang3Qiqing Wang4School of Resources and GeosciencesSchool of Resources and GeosciencesSchool of Resources and GeosciencesSchool of Environment and Spatial InformaticsSchool of Resources and GeosciencesDeep mining is the current and future mining focus in the coalfield of North China. Therefore, it is necessary to establish a water inrush assessment method suitable for deep mining. The conventional water inrush coefficient (T) method is simple to use, but its accuracy is low when the mining depth is very small or large because it neglects the role of the aquifer water yield. The main purpose of this paper is to introduce a simple water inrush risk assessment method that is more applicable in deep mining than the T method. In this study, the hydrogeological characteristics in deep mining were studied and the role of the aquifer water yield in water inrush was analyzed. Afterwards, an improved T method considering the aquifer specific yield (q) was established. In the new method, the critical water inrush coefficient changes with changing q following a negative correlation. The parameter thresholds were determined based on systematic data analyses of 186 mining cases. The results of the statistical analysis show that the accuracy of the new method at different mining depths is higher than that of the T method.http://dx.doi.org/10.1155/2021/9948763
collection DOAJ
language English
format Article
sources DOAJ
author Jianghui He
Wenping Li
Wei Qiao
Zhi Yang
Qiqing Wang
spellingShingle Jianghui He
Wenping Li
Wei Qiao
Zhi Yang
Qiqing Wang
Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining Depths
Geofluids
author_facet Jianghui He
Wenping Li
Wei Qiao
Zhi Yang
Qiqing Wang
author_sort Jianghui He
title Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining Depths
title_short Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining Depths
title_full Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining Depths
title_fullStr Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining Depths
title_full_unstemmed Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining Depths
title_sort analysis of key factors affecting water disaster in deep mining and establishment of a water disaster evaluation method suitable for different mining depths
publisher Hindawi-Wiley
series Geofluids
issn 1468-8123
publishDate 2021-01-01
description Deep mining is the current and future mining focus in the coalfield of North China. Therefore, it is necessary to establish a water inrush assessment method suitable for deep mining. The conventional water inrush coefficient (T) method is simple to use, but its accuracy is low when the mining depth is very small or large because it neglects the role of the aquifer water yield. The main purpose of this paper is to introduce a simple water inrush risk assessment method that is more applicable in deep mining than the T method. In this study, the hydrogeological characteristics in deep mining were studied and the role of the aquifer water yield in water inrush was analyzed. Afterwards, an improved T method considering the aquifer specific yield (q) was established. In the new method, the critical water inrush coefficient changes with changing q following a negative correlation. The parameter thresholds were determined based on systematic data analyses of 186 mining cases. The results of the statistical analysis show that the accuracy of the new method at different mining depths is higher than that of the T method.
url http://dx.doi.org/10.1155/2021/9948763
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