Hazard degree identification and coupling analysis of the influencing factors on goafs

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• 作者：Hai-ping Xiao ; Guang-li Guo ; Wei Liu
• 关键词：Information entropy theory ; Unascertained measurement theory ; Multi ; factor coupling ; Stability evaluation ; Importance degree index
• 刊名：Arabian Journal of Geosciences
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：10
• 期：3
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth Sciences, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-7538
• 卷排序：10

文摘

In China, there are a large number of mined-out area which bring a great hidden danger to the mine enterprise’s safety production and people’s life and property. Therefore, the stability evaluation and the mechanism analysis of goafs have become a hot issue in the study on sustainable development of mining industry. To solve the complexity, concealment, and uncertainty of goaf influencing factors, 14 factors, i.e., rock mass structure, goaf span, exposed area, and so on, were selected as the evaluation indexes according to an iron ore. Then, the hazard evaluation model of goaf was established by using the information entropy and the unascertained measurement (UM) theory to identify the hazard degree, and the hazard importance degree index was put forward by changing the influencing factors and its index value to quantitatively analyze the coupling degree of influencing factors. This paper takes the BFZ-8 goaf as an example to evaluate and analyze the goaf stability. The results show that the evaluation model about UM and the experimental schemes are feasible and practicability, and the UM evaluation grades are consistent with the fuzzy evaluation grades and the actual risk grades in the case of multi-factor coupling. And the experimental results quantitatively reflect the coupling degree of the influencing factors by comparing the relative change rate of the importance degree, and the coupling results are consistent with the actual situation. So, the method can guide the production safety of mine, protect life and property safety of miners, and provide technical support and a new method for hazard degree identification of the goaf.