Studies On Application Of Artificial Neural Network In Hanjiang Upstream Basin Water Environment Ultimate Carrying Capacity

Artificial neural network, the main means applied in this thesis, takes part in the innovative study of the model building and forecasting of water environmental carrying capability for Hanjiang upstream basin, aiming at the characters of drainage area water environment ultimate carrying capacity. The artificial neural network model of Hanjiang upstream basin water environment ultimate carrying capacity has been established. Ten important factors have been chosen tentatively as the evaluation index system of water environment carrying capacity. The model has been applied in Hanjiang upstream basin.The main fruits are shown as follows:1. This dissertation suggested the definition and evaluation index system of drainage area water environment ultimate carrying capacity through consulting a lot of domestic and foreign references which studied the water environment carrying capacity.2. To calculate and analyze the Eco-environmental water requirement for Hanjiang upstream basin in the 95 percent hydrology frequency years.3. To calculate and analyze tentatively on water environment capacity of Hanjiang upstream basin. applying method for water quality in the case of one dimensional, establishing the foundation of industry and agriculture sustainable development about water environment of Hanjiang upstream basin4. Artificial neural network which was applied that the establishment of model of Hanjiang upstream basin water environment ultiamte carrying capacity, based on analysis of respective character of artificial neural network..The thesis has forecasted the Hanjiang upstream basin water environment carrying capacity. The model shows three characteristics.The first is high resolution. Back-Propagation Network simulates the thoughtmode of human being, and needn't establish some fixed modes before judging the thing. It judges the directly and rationally according to essential characterisic, and its information is abundant. The second is wide application. The model may be used other drainage area in China. The third is powrful practicability. The trained network only gives a input and gets the result of assessment immediately. It is easy to use.5.Artificial neural network forecasting model was optimized in order to get better effect.6. Adopting the MATLAB language to program and solve the model of Hanjiang upstream basin water environment ultimate capacity. Hanjiang upstream basin.