Gao Chengyue, Wang Dangliang, Liu Kerui, Deng Guowei, Li Jianfeng, Jie Baolei
China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.
Shaanxi Energy Liangshuijing Mining Co., LTD, Yulin, Shaanxi 719315, China.
ACS Omega. 2022 Jul 24;7(30):26437-26454. doi: 10.1021/acsomega.2c02270. eCollection 2022 Aug 2.
To prevent coal mine roof water damage, the water generally needs to be evacuated in advance. It can be mined with the water inrush risk assessed as safe. However, a single index is often employed in the water safety evaluation after the roof drainage, which causes a large gap between the evaluation results and the actual situation. Therefore, the evaluation cannot be effectively used to guide the safety mining in the working face. In this paper, based on the hydrogeological data of the Liangshuijing coal mine, a multifactor water inrush risk assessment model (IAHP-EWM) and multifactor index system are established for assessing the water inrush risk before and after the roof drainage. The improved AHP method and the entropy weight method are adopted in the model to determine the index weight. This combined way avoids the excessive subjectivity and objectivity of the index weight. A″ Fold undulation degree ( )″ is innovatively proposed to quantify the impact of the spatial relief of folds on water inrush in the multifactor index system. The IAHP-EWM model is applied to evaluate the risk of roof water inrush in the 42205 working face of the Liangshuijing coal mine. The evaluation results show that the water inrush risk is ″high″ when the water is not dredged, and the water inrush risk is ″low″ after the water is dredged, which are consistent with the actual water inflow data and evaluation results, which verifies the accuracy of the model. The application results of the IAHP-EWM model in the 42202, 42203, and 42204 working faces verify its universal applicability in the Liangshuijing mining area. It can provide a reference for the evaluation of the roof water damage control effect during coal seam mining.
为防止煤矿顶板水害，一般需提前疏排积水，在评估突水风险为安全的情况下方可开采。然而，目前顶板排水后水害安全性评价往往采用单一指标，导致评价结果与实际情况存在较大差距，无法有效指导工作面的安全开采。本文基于良水径煤矿的水文地质资料，建立了用于评估顶板排水前后突水风险的多因素突水风险评估模型（IAHP-EWM）及多因素指标体系。模型采用改进的层次分析法和熵权法确定指标权重，这种组合方式避免了指标权重确定过程中主观性和客观性过强的问题。在多因素指标体系中创新性地提出“A″褶皱起伏度( )”来量化褶皱空间起伏对突水的影响。将IAHP-EWM模型应用于良水径煤矿42205工作面顶板突水风险评价，评价结果表明，未疏排水时突水风险为“高”，疏排水后突水风险为“低”，与实际涌水量数据及评价结果一致，验证了模型的准确性。IAHP-EWM模型在42202、42203和42204工作面的应用结果验证了其在良水径矿区的普遍适用性，可为煤层开采过程中顶板水害防治效果评价提供参考。
