Response Characteristics and Water Inflow Prediction of Complex Groundwater Systems under High-Intensity Coal Seam Mining Conditions

被引:6
|
作者
Hua, Zhaolai [1 ,2 ]
Zhang, Yao [1 ]
Meng, Shihao [1 ]
Wang, Lu [1 ,2 ]
Wang, Xuejun [3 ]
Lv, Yang [1 ,2 ]
Li, Jinming [2 ]
Ren, Shaofeng [2 ]
Bao, Han [1 ]
Zhang, Zhihao [1 ]
Zhao, Linger [1 ]
Zeng, Yifan [1 ]
机构
[1] China Univ Min & Technol, Nation Engn Res Ctr Coal Mine Water Hazard Control, Beijing 100083, Peoples R China
[2] Shaanxi Shanmei Caojiatan Min Co Ltd, Yulin 719000, Peoples R China
[3] Tangshan Kailuan Construct Grp Co Ltd, Tangshan 063000, Peoples R China
基金
国家重点研发计划;
关键词
coal mine water hazard; MODFLOW; non-structural mesh; mine hydrogeology; SOFTWARE; ENERGY; CHINA; AREA;
D O I
10.3390/w15193376
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the gradual improvement in coal mining efficiency, the disturbance of groundwater systems caused by high-intensity mining also increases, leading to challenges in maintaining mine safety and protecting water resources in mining areas. How to accurately describe the dynamic changes in the groundwater system under mining and quantitatively predict mine water inflow are currently major problems to be addressed. Based on a full analysis of the response characteristics of a groundwater system to the extraction disturbance, this paper presents a new method to establish a mine hydrogeological conceptual model that can accurately represent the water inrush process. The unstructured-grid package of MODFLOW is used to accurately characterize the formation structure and finally make accurate water inflow predictions. Taking the Caojiatan coal mine in Shaanxi Province, China, as an example, a numerical model of unstructured water inflow is established, and the changes in the water inflow source and intensity are quantitatively evaluated. Compared with the traditional water inflow prediction method, the prediction accuracy of the new model is improved by 12-17%, which is achieved by detailing the response of the complex groundwater system under high-intensity mining conditions. The method presented in this paper has great significance and applicatory value for obtaining a comprehensive understanding of the disturbance characteristics of human underground engineering activities (e.g., coal mining) on groundwater systems, as well as accurately predicting water inflow.
引用
收藏
页数:18
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