矿井涌水量时间序列混沌特性的Kolmogorov熵判别

The identification of Kolmogorov entropy of the chaos characteristics of mine water inflow time series

根据相空间重构理论和技术以及G-P算法,在嵌入维按等间隔m不断增加的情况下,在无标度区间内,作等斜率线性回归,利用最小二乘法得到6个典型矿区矿井涌水量时间序列的Kolmogorov熵。结果表明其具有混沌特性,从而可为确定矿区地下水系统特征、性质和矿井涌水量预测模式提供理论依据。

According to the theory and technique of the phase space reconstruction and G-P algorithm,under the condition of unceasingly increasing the embedding dimension over an equal-interval m,and making an equal-slope linear regression in the non-scale regions,we obtained the Kolmogorov entropy of mine water inflow time series of mine hydraulic discharge in six typical mining areas by using the least square method.The result suggests that the time series of mine hydraulic discharge has chaos characteristics,and that this kind of study may provide the theoretical foundation for confirming the characteristics of groundwater system and the forecast pattern of mine hydraulic discharge in the mining area.