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

Authors :
Hua, Zhaolai
Zhang, Yao
Meng, Shihao
Wang, Lu
Wang, Xuejun
Lv, Yang
Li, Jinming
Ren, Shaofeng
Bao, Han
Zhang, Zhihao
Zhao, Linger
Zeng, Yifan
Source :
Water (20734441); Oct2023, Vol. 15 Issue 19, p3376, 18p
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734441
Volume :
15
Issue :
19
Database :
Complementary Index
Journal :
Water (20734441)
Publication Type :
Academic Journal
Accession number :
172989453
Full Text :
https://doi.org/10.3390/w15193376