Evaluation of Mine Geological Environment Quality Based on Fuzzy Analytic Hierarchy Process
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Keywords

Weight
Influencing Factors
Hierarchical Structure Model
Mine Geological Environment
Fuzzy Analytic Hierarchy Process

How to Cite

1.
Jiye L, Longqing S, Wenlin C. Evaluation of Mine Geological Environment Quality Based on Fuzzy Analytic Hierarchy Process. Glob. J. Earth Sci. Eng. [Internet]. 2021 Jul. 1 [cited 2024 Nov. 21];8:1-11. Available from: https://avantipublisher.com/index.php/gjese/article/view/1024

Abstract

The study of mine geological environmental quality evaluation methods has always been an important topic. Taking the mining geological environment of Muping District, Shandong Province as the research background, and based on the fuzzy analytic hierarchy process, a hierarchical structure model of the quality evaluation index of the mine geological environment in the study area was established, the relative importance of the 14 rating levels was estimated, and the weights were calculated. And sorting, establish a mine geological environment quality evaluation index system; then, according to the calculated comprehensive threshold value, establish a comprehensive evaluation grade of the mine geological environment. The results of the study show that the degree of environmental pollution (air, soil, water), vegetation coverage, topography and landform are the main factors for the evaluation of the geological environmental quality of the mines in the study area, and their weights are 0.3114, 0.1743, and 0.1184 in order. According to the principle of the maximum degree of membership, the mine geological environment quality is determined to be a good grade. Through the verification of the survey results of the mine geological environment on-site, the results show that the weights calculated by this method are reasonable, and the theoretical analysis and evaluation results obtained are in good agreement with reality. This method is worthy of popularization in the mine environment assessment work. Decision-making and governance provide decision-making support services.

https://doi.org/10.15377/2409-5710.2021.08.1
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