Abstract
The concept of green mining is to improve the mining industry in a holistic way so that it is safe, efficient, and environmentally sustainable. The purpose of this study was to develop an evaluation index system of green surface mining based on the theory of green grades. The evaluation model is comprised of three attributes (safety, efficiency, and environment), nine criteria, and 35 indicators. The fuzzy comprehensive evaluation method was used to determine the weights of indicators by taking into consideration degree centrality, closeness centrality, and betweenness centrality. Findings indicate that the environment is the most critical aspect of green surface mining, followed by efficiency and safety. The top five ranked green mining success indicators were the application of new technology, starting-off-rate of equipment, science and technology input to total investment, the number of accidents (decreased), and the production (increased). It was observed that more improvements are needed to overcome water, air, waste, and sound pollution. Attention should also be paid to land reclamation and post-mining land uses, which are key factors in green mining. The proposed model can be applied to evaluate and improve the level of green surface mining in other regions. This study provides a tool for decision-makers that can offer technical assistance to green mining.
Original language | English |
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Journal | Mining, Metallurgy and Exploration |
Volume | 37 |
Issue number | 4 |
Pages (from-to) | 1093-1103 |
Number of pages | 11 |
ISSN | 2524-3462 |
DOIs | |
Publication status | Published - 1 Aug 2020 |
Bibliographical note
Funding Information:This research was supported by the Independent Research Project of the State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, China (SKLCRSM18X001).
Publisher Copyright:
© 2020, Society for Mining, Metallurgy & Exploration Inc.
Keywords
- Ecological mining
- Evaluation index system
- Fuzzy evaluation
- Green mining
- Sustainable mining