Comprehensive Identification of Surface Subsidence Evaluation Grades of Mines in Southwest China

Li Li, Dezhong Kong, Qinzhi Liu, Yu Xiong, Fei Chen, Haibing Zhang and Yunyun Chu
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Li Li: College of Mining, Guizhou University, Guiyang 550025, China
Dezhong Kong: College of Mining, Guizhou University, Guiyang 550025, China
Qinzhi Liu: College of Mining, Guizhou University, Guiyang 550025, China
Yu Xiong: College of Mining, Guizhou University, Guiyang 550025, China
Fei Chen: College of Mining, Guizhou University, Guiyang 550025, China
Haibing Zhang: College of Mining, Guizhou University, Guiyang 550025, China
Yunyun Chu: College of Mining, Guizhou University, Guiyang 550025, China

Mathematics, 2022, vol. 10, issue 15, 1-16

Abstract: Due to their complex geological structure, it is difficult to systematically analyze the surface subsidence of coal mines in southwest China, and the factors that cause surface subsidence are also different from other coal mines. Focusing on the problem of surface subsidence caused by mining in southwest China’s mines, a grade evaluation system for surface subsidence of southwest mines is constructed based on the analytic hierarchy process, and ten evaluation indicators are established from the perspectives of mining disturbance and geological structure. A matter–element model of surface subsidence based on matter–element extension theory and a cloud model of surface subsidence based on cloud theory are then constructed. A coal mine in Anshun, Guizhou, is taken as an example to calculate the evaluation level of surface subsidence and thus verify the scientificity of extension theory and cloud theory. The results show that the main factors that affect the surface subsidence of southwest mines are the number of coal seam layers, mining height and comprehensive Platt hardness of rock, similar to that of northern plain coal mines. Surface slope and subsidence area are also very important. The comprehensive correlation degree of each grade of the coal mine is −0.29836, 0.192232, −0.1093 and −0.46531, and the coal mine is concluded to be in grade 2. The calculated similarity of the overall index evaluation cloud map of the coal mine and each grade is 0, 0.3453, 0.7872 and 0, respectively. The coal mine is in grade 2, which is a relatively safe state. Consistent with the calculation results of the extension model and in line with the field situation, the extension matter–element model and cloud model built in this paper can verify each other and have a certain scientificity.

Keywords: southwest China mines; surface subsidence; evaluation system; matter–element extension theory; analytic hierarchy process; cloud model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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