Water quality forecast based on artificial neural network

Water quality forecast is the indispensably basal work during favorable accomplishment on planning and managing of water environment and integrated controlling of water pollution. A good many factors which influence water quality are considered in mechanic models of water quality forecast, and simulation or forecast effects are satisfying. But sometimes mechanic models are complex and mass data is required, and farther application of mechanic models is limited. With application of artificial neural network (ANN) theory and method, an ANN model is constructed for concentration forecast of DO (dissolved oxygen) in water. Application results show that forecast of ANN model is feasible, and it contributes helpful references to pollution forecast of water quality.