Calculation of Ecology Filling Water of South Moat in Jinan Based on the Spring Water Inflow Forecasting

The south moat in Jinan has a certain degree of natural spring water supply. But the spring filling water changes according to the level of ground water level, and compared with the ecology environment water demand of the south moat, spring filling water alone can not meet the need throughout the year. At first, this paper established the relationship between spring water inflow and ground water level based on practical measured data. Apply the principal component analysis method and Lyapunov index method to analyze the chaotic characteristic of the ground water level time series of Heihu spring. On this basis, establish the BP neural network model based on phase space reconstruction by combing phase space reconstruction theory with BP neural network model, and use this model to forecast the ground water level. Apply the relationship between spring water inflow and ground water level to forecast the spring water inflow, and on this basis, forecast and calculate the ecology environment filling water supplied by other water resources, which provides the new scientific basis for managers to make rational decisions.