Application of GM Model in Coal Mine Water Inflow Prediction

Hao Wang, Ankun Luo, Rui Chai, Qisheng Liu
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引用次数: 2

Abstract

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.
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GM模型在煤矿涌水量预测中的应用
本研究的目的是利用灰色理论对孟加拉国巴拉普库里亚煤矿的地下水流入进行预测。矿井涌水量受地质和水文地质条件、降水、勘探程度和开采条件以及许多不完全和综合的不确定或未知因素的影响,属于灰色系统。本文对现有矿井涌水量数据进行了详细分析,并建立了GM模型。此外,还利用Mat lab软件对模型进行了计算。将预测结果与现场实测数据进行比较,评估GM(1,1)模型的可靠性。结果表明,灰色理论模型对地下水流入进行预测是可靠的。计算结果可用于煤矿排水系统设计和矿井水防治措施的制定。
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