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Application of GM Model in Coal Mine Water Inflow Prediction

机译:GM模型在煤矿入水量预测中的应用

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The aim of this study was to predict groundwater inflow of Bangladesh Barapukuria coal mine using grey theory. The mine water inflow is affected by geological and hydro geological conditions, precipitation, degree of exploration and mining conditions, as well as many incomplete and synthesis of uncertain or unknown factors, belonging to the grey system. In this paper, present mine water inflow data were analyzed in detail and a GM model was built. In addition, a program based on Mat lab was used to calculate the model. The prediction was compared with in-situ measured data to assess the reliability of the GM (1, 1) model. The results showed that grey theory model is reliable enough to conduct groundwater inflow prediction. The results calculated can be used to design coal mine drainage system and develop mine water prevention and control measures.
机译:这项研究的目的是使用灰色理论预测孟加拉国Barapukuria煤矿的地下水流入量。矿井水流入受地质和水文地质条件,降水,勘探和开采条件的程度以及许多不完整和综合的不确定或未知因素(属于灰色系统)的影响。在本文中,详细分析了当前的矿井水流入数据,并建立了GM模型。另外,使用了基于Mat lab的程序来计算模型。将预测结果与现场测量数据进行比较,以评估GM(1,1)模型的可靠性。结果表明,灰色理论模型足以进行地下水入渗预测。计算结果可用于设计煤矿排水系统和制定矿井水防治措施。

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