Research on Water Inrush Risk Assessment and Water Inflow Chaotic Prediction of Coastal Gold Mine.

In view of the uncertainty and randomness in the process of risk assessment of water inrush, 10 factors of hydrogeological conditions were considered to construct evaluation index system, and a cloud model for water inrush risk assessment in coastal gold mine was established. Based On the evaluation resultst the phase space reconstruction of the water inrush time series is carried out. The evolution law of the influx phase distance is analyzed, and the early warning mechanism of water inrush is established. Combined with the reconstructed phase space, the RBF neural network prediction model is established. The results show that the evaluation results of the cloud model are accurate and reliable. The phase space reconstruction reveals the chaotic characteristics of the system. The nearest neighbor phase evolution magnifies the subtle characteristics of the water inflow change, which provides a basis for the establishment of the early warning mechanism of the water inrush. The chaotic RBF nerve network short-term accurate predictions of water inflow and provides technical support for safe underground mining. [ABSTRACT FROM AUTHOR]