对矿井涌水量进行准确的预测是煤矿生产设计部门制定采掘方案、确定矿井排水能力、制定疏干措施、防止矿井突水、淹井等严重事故和利用地下水资源的重要依据,而矿井涌水量受水文、地质、气象、开采情况等多种因素影响,常常表现出较大的随机性和波动性。用灰色理论对原始数据进行处理,弱化其随机性,并建立GM（1,l）动态预测模型进行预测,避开了各种复杂的影响因素,将各种影响因素进行＂灰处理＂,模型的计算灵活简单,其精度满足要求。%Accurate prediction of mine water inflow is an important basis of developing mining scheme,determining mine drainage ability and water control plan and using underground water resource for mine production department.By processing raw data with grey theory,the paper built GM(1,1) model dynamic forecasting model.The model is simple and its accuracy meets the requirements.
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