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

Author:

Hua Zhaolai12,Zhang Yao1,Meng Shihao1ORCID,Wang Lu12,Wang Xuejun3,Lv Yang12,Li Jinming2,Ren Shaofeng2,Bao Han1,Zhang Zhihao1,Zhao Linger1,Zeng Yifan1

Affiliation:

1. Nation Engineering Research Center of Coal Mine Water Hazard Controlling, China University of Mining and Technology, Beijing 100083, China

2. Shaanxi Shanmei Caojiatan Mining Co., Ltd., Yulin 719000, China

3. Tangshan Kailuan Construction (Group) Co., Ltd., Tangshan 063000, China

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.

Funder

National Key R&D Program of China

China National Natural Science Foundation

Funding Program for Basic Research Operating Expenses of Central Universities

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference40 articles.

1. Mark, C. (2001, January 19–22). Overview of ground control research for underground coal mines in the United States. Proceedings of the 17th International Mining Congress and Exhibition of Turkey (IMCET 2001), Ankara, Turkey.

2. Predicting of land surface uplift caused by the flooding of underground coal mines—A case study;Dudek;Int. J. Rock Mech. Min. Sci.,2020

3. Ecological water security impact of large coal base development and its protection;Zeng;J. Hydrol.,2023

4. Zhou, S., Liu, T., and Duan, L. (2022). Ecological Impact Prediction of Groundwater Change in Phreatic Aquifer under Multi-Mining Conditions. ISPRS Int. J. Geo Inf., 11.

5. Evaluation Model for Karst Groundwater Pollution Based on Geographic Information System and Artificial Neural Network Applications;Li;Environ. Earth Sci.,2018

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