Evolution Law of Shallow Water in Multi-Face Mining Based on Partition Characteristics of Catastrophe Theory

Author:

Zhang Yujiang123,Cui Bingyuan12,Wang Yining12,Zhang Shuai12,Feng Guorui12ORCID,Zhang Zhengjun4

Affiliation:

1. College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China

2. Shanxi Province Coal-Based Resources Green and High-Efficiency Development Engineering Center, Taiyuan 030024, China

3. Postdoctoral Centre, Shandong Energy Group Co., Ltd., Jinan 250014, China

4. Yangcheng County Yangtai Group Industrial Co., Ltd., Jincheng 048100, China

Abstract

It is of great significance for ecological environment protection to clarify the regional evolution characteristics of shallow water under the disturbance of multi-working face mining. In this paper, the catastrophe theory method, GIS spatial analysis function and FEFLOW numerical calculation method were comprehensively used to study the instability risk and evolution law of shallow water systems in the Zhuan Longwan Coal Mine. The results show that: the Zhuan Longwan Coal Mine is divided into five areas (small risk area, light risk area, middle risk area, heavy risk area and special risk area) based on catastrophe theory, among which the middle risk area has the largest area of 16,616,880 m2, and the special risk area has the smallest area of 1,769,488 m2. Based on the results of catastrophe zoning, the evolution law of shallow water under multi-surface disturbance in different zones is expounded. In the middle-risk area, the water level drop at measuring point 4 is the largest, which is 0.525 m, and the water level drop at measuring point 5 is the smallest, which is 0.116 m. The study aims to provide a basis for regional coal development planning and research on the method of water-retaining coal mining.

Funder

National Natural Science Foundation of China

Fundamental Research Program of Shanxi Province

Special/Youth Foundation of Taiyuan University of Technology

Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi

China Postdoctoral Science Foundation

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

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