干旱区生态环境知识资源中心(Arid): Quantitative prediction of the impact of deep extremely thick coal seam mining on groundwater

Arid

DOI	10.1016/j.psep.2023.08.061
	Quantitative prediction of the impact of deep extremely thick coal seam mining on groundwater
	Zhan, Hao; Liu, Shouqiang; Wu, Qiang; Li, Yuan; Qi, Kuan; Zhang, Xiaohui
通讯作者	Liu, SQ
来源期刊	PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
ISSN	0957-5820
EISSN	1744-3598
出版年	2023
卷号	178 页码:511-527
英文摘要	Reasonable exploitation and utilization of groundwater near coal mines in arid areas are of great significance to regional ecological and geological environment protection and sustainable mining of coal resources. It is a challenge to accurately predict the impact of deep coal mining on groundwater resources before mining. Adopting a coal mine in Inner Mongolia, China, as a case study, first, a well-fitted GA-BP neural network model was established to predict the height of the water-conducting fracture zone (WCFZ). The prediction results of WCFZ were verified by in-situ measured data of optical fiber and cable sensing systems. In Chinese coal mines, hydrogeological research generally lags behind geological exploration. Therefore, in the context of limited hydrogeological data, a variable weight model (VWM) for evaluating the potential groundwater yield of the objective aquifer (OAPGY) was established considering geological survey data before mining. Then, drilling pumping test data was used to verify the OAPGY predictions. Finally, groundwater resource protection measures were proposed according to the zoning results. The research results could provide a reference and basis for sustainable utilization of groundwater and reducing the impact of coal mining on groundwater resources.
英文关键词	Deep coal mining Quantitative prediction Sandstone aquifers Potential groundwater yield
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001065500500001
WOS关键词	ANALYTIC HIERARCHY PROCESS ; GEOGRAPHICAL INFORMATION-SYSTEM ; MULTICRITERIA DECISION-ANALYSIS ; WATER-INRUSH ; RISK-ASSESSMENT ; POTENTIAL ZONES ; GIS ; REGION ; MINE ; AQUIFERS
WOS类目	Engineering, Environmental ; Engineering, Chemical
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398171
推荐引用方式 GB/T 7714	Zhan, Hao,Liu, Shouqiang,Wu, Qiang,et al. Quantitative prediction of the impact of deep extremely thick coal seam mining on groundwater[J],2023,178:511-527.
APA	Zhan, Hao,Liu, Shouqiang,Wu, Qiang,Li, Yuan,Qi, Kuan,&Zhang, Xiaohui.(2023).Quantitative prediction of the impact of deep extremely thick coal seam mining on groundwater.PROCESS SAFETY AND ENVIRONMENTAL PROTECTION,178,511-527.
MLA	Zhan, Hao,et al."Quantitative prediction of the impact of deep extremely thick coal seam mining on groundwater".PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 178(2023):511-527.