Identification of fundamental factors and construction of evaluation model for the utilization of underground space in abandoned mines

被引：0
|
作者：
Sun Z. [1 ,2 ]
Zhao Y. [1 ,2 ]
Ren J. [1 ,2 ]
机构：
[1] Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology-Beijing, Beijing
[2] School of Energy and Mining Engineering, ChinaUniversity of Mining and Technology-Beijing, Beijing
来源：
Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology | 2024年 / 53卷 / 03期
关键词：
abandoned mines; DEMATEL-ISM; K-means clustering; TODIM; underground space; utilization;
D O I：
10.13247/j.cnki.jcumt.20230300
中图分类号：
学科分类号：
摘要：
To promote the precise development and utilization of space resources in abandoned mines, systematic research has been carried out on many factors affecting the utilization of underground space in abandoned mines according to geological conditions and morphological orientation differences. Firstly, an indicator system including 18 factors was constructed based on four aspects: resource endowment status, stability, security and location conditions, respectively. Secondly, the K-means clustering algorithm was introduced to avoid the subjectivity and arbitrariness of threshold determination, and the DEMATEL-ISM evaluation model was established to analyze the interaction between various factors. Then, a multi-attribute two-stage decision-making evaluation model was constructed, and the TFN-TODIM method was applied to sort the alternative mines. The results show that there are 63 thresholds for the 'highly influential relationship' category, with A values ranging from 0. 107 to 0. 248. There are complex peer and cross-level affecting relationships between every influencing factor. And five key factors ( coal seam stability, surrounding rock properties, geological structure complexity, mining depth and geological hazard frequency ) and three fundamental factors ( gas concentration level, mine water inflow, and coal seam spontaneous combustion tendency ) affecting the utilization of underground space in abandoned mines are obtained. Taking the underground tourism and recreation places as an example, the rank of each alternative mine is Ai (Baijiazhuang coal mine, Taiyuan, Shanxi) > A3(Tangkou coal mine, Jining, Shandong) > A2(Tuanbai coal mine, Linfen, Shanxi) > A5 (Shandong coal mine, Yulin, Shaanxi) > A7 (Yun'an coal mine, Zunyi, Guizhou). Baijiazhuang coal mine in Taiyuan, Shanxi province is the optimal location for transformation. Finally, the research focus and directions of the decision-making evaluation model for material storage, medical place, scientific research and teaching bases, and deep engineering have been prospected. The conclusions of this paper provide theoretical support for promoting the utilization of underground space resources in abandoned mines and are of guiding significance for the transformation and development of mining areas. © 2024 China University of Mining and Technology. All rights reserved.
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页码：585 / 599and612
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