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- Title
Risk Assessment Model of Residual Coal Spontaneous Combustion Using Combination Weighting and Set Pair Analysis Method.
- Authors
Jiaqi Ge; Yun Qi; Jinzhang Jia; Wei Wang; Qingjie Qi
- Abstract
In order to solve the problem of low accuracy of autogenous risk assessment in mined-out areas, which has caused several risk factors, such as ambiguity, arbitrament, uncertainty, variability, and diversity, a combination weighting-set pair analysis (SPA) coupling evaluation was put forward. First, on the basis of the mechanism and occurrence conditions of coal spontaneous combustion, 11 influencing factors were identified and extracted from three aspects, namely, coal spontaneous combustion tendency, extraction conditions, and air leakage and heat storage conditions. Second, a Euclidean measure was introduced to ensure the degree in the difference between the subjective and objective weights and compromising modulus. Then, the combined weights of each index were obtained. Third, on the basis of SPA theory, a combined weighting--SPA coupling mining model was constructed. Lastly, three mined-out areas affected by gas drainage conditions were set in Pingdingshan No. 10 Coal Mine of China as an example. The set pair association degree expression of the evaluation index and corresponding standard was obtained, and the risk level was determined. Results show that the combination weighting method ensures the reasonable distribution of the weights of each index factor for the prediction of spontaneous combustion risk in goaf. After analysis, the main factors affecting the spontaneous combustion risk in goaf are ranked as U21 > U13 > U11 > U22 > U31.The prediction results on the spontaneous combustion risk in No. 1, No. 2, and No. 3 mined-out areas are consistent with the measured results, and the prediction accuracy of the model is high. The obtained conclusions are of great significance for the rational prevention and control of spontaneous combustion in goaf and the prevention of similar disasters.
- Subjects
SPONTANEOUS combustion; HEAT storage; RISK assessment; COAL combustion; COAL mining; EMERGENCY management
- Publication
Journal of Engineering Science & Technology Review, 2022, Vol 15, Issue 3, p139
- ISSN
1791-2377
- Publication type
Article
- DOI
10.25103/jestr.153.14