矿井涌水量预测预报是矿井开采过程中防治水害的重要环节。应用小波多尺度理论对工作面涌水量、自然电位及直接充水含水层水位进行研究,揭示其规律性,以解决涌水量估计问题。通过对三类数据进行小波分解与重构发现,第二层低频重构信号与三者之间具有规律性:水位下降引起自然电位升高,导致涌水量增大;水位回升、自然电位减低时,对应工作面涌水量减小。分析结果表明,第二层高频重构细节信息表现为高水位(小降深)、低电位(电性差异小)对应小涌水量和低水位(大降深)、高电位(电性差异大)对应大涌水量。
Multi-scale wavelet analysis theory is applied to study water inflow in mine face, spontaneous potential and water level of directly water-charged aquifer. It is found that there exists close relationship among these three types of data by wavelet decomposition and reconstruction. The regularity in the 2nd signal of the low-frequency reconstructing is that spontaneous potential rises due to water level fall, causing increased water inflow when the water level rebounds and spontaneous potential reduces as well as the corresponding water inflow reduces. The regularity in the 2nd reconstructed signal of low frequency is that high water level and low spontaneous potential are corresponding with small water inflow, low water level and high spontaneous potential are corresponding with large water inflow.