Prediction model of water resources in mine area based on phase space reconstruction and chaos neural network

Abstract

In the process of social economic development, water resource is increasingly scarce because of unreasonable exploitation of groundwater resources. It has seriously hampered the economic and social development speed in mine area, and even caused a series of negative effects of serious environmental and ecological problems. In this paper, chaos theory is used to study the water resource system in mine area. By analyzing the phenomena of chaotic characteristics in water resource system, regional mine water resources safety model was constructed based on the phase space reconstruction coupled with the neural network. Through the application of the model to forecast future water resources consumption in Gejiu mine area, the predicted results not only verified the validity of the model, but also found a new approach to study water resources in mine area. © 2008 Springer Berlin Heidelberg.