Forecasting of Mine Discharge Based on Phase Space Reconstruction and SimpleMKL

• Main Authors: X. Zhang, Y.H. Guo, Y.K. Chen
• Format: Article
• Language: English
• Published: AIDIC Servizi S.r.l. 2016-08-01
• Series: Chemical Engineering Transactions
• Online Access: https://www.cetjournal.it/index.php/cet/article/view/4036

Forecasting of mine discharge is crucial to water disaster prevention in mines. The hydrogeological is complex, caused by internal and exterior factors in a mine that makes the forecasting much more difficult. The paper puts forward a kind of prediction method of mine discharge based on Phase Space Reconstruction and SimpleMKL. By analysis and studying the hydrogeology of the study field, while getting the maximal Lyapunovexponent ? = 0.1844 >0 by wolf algorithm, we know mine discharge has Chaos characteristics and can findout the hidden evolution rule of mine discharge time series by Phase Space Reconstruction, and as SimpleMKL input and output parameters, so as to transform the nonlinear problem into linear solution in multi- kernels mapping space. After choosing mine discharge date from August 2004 to February 2005 to validate, the results show that this method is feasible and possesses a high precision and very strong practical value.