Abstract: With the economic development,the environmental protection work is facing unprecedented pressure.In order to enhance the aquatic environment control effectively and to deal with the impact of sudden environmental pollution accident on the social and economic development,the paper established BP neural network theory for fitting aquaculture feed,and total phosphorus,total nitrogen,transparency,as well as oxygen consumption,and other nutritious indicators of changes in the corresponding function.Furthermore,the paper used genetic algorithm to achieve optimization methods of the objective function,and formed a breeding waters early warning model.The model provides technical support for water environment governance and public decision-making.At the same time,the paper makes further analysis for the samples of Poyang Lake’s new aquaculture base and forecasts good results by using the model.

Key words: BP neural network,Genetic algorithm,Eutrophication,Early warning model