The Research On Prediction Methods And System Of The Groundwater Level

Prediction of groundwater level has an important role in the actual management of water environment. The quality of the groundwater level prediction affects the scientific management and rational exploitation and utilization of water resources directly. Thus, the correct prediction of groundwater and reasonable exploitation of groundwater resources can prevent geological disasters caused by excessive exploitation.There are many ways in groundwater level prediction, such as:analytical method, numerical method, wavelet analysis method and so on, but each method has its advantages and disadvantages. Firstly, based on the gray theory, gray-scale analysis of the data of the Xiaonanhai spring area groundwater level is done to determine that Gray GM (1,1) model can be used to predict the groundwater level. Because the gray model only has a better effect to predict linear curve, gray neural network model of the Xiaonanhai spring area groundwater level prediction is established on the basis of the gray theory and neural network theory. Compared with the gray model and neural network model predictions, the results show that the gray prediction model requires less original data that is collected easily and the gray prediction model is more suitable for short-term prediction. The neural network prediction model required a large amount of data, but the fitting effect is more ideal. The effect of Gray-neural network prediction model is better than a single model.Using the.NET Framework4as framework, the Visual Studio (VS) as the development tools and the C#as the programming language, the management information system of the Xiaonanhai spring area groundwater level prediction is designed. The map operating components provided by the SuperMap Objects are inserted in the development environment and the vectorization map displays in the system, and it is able to complete the basic operation of the map. The application interface uses a set of components called DotNetBar in NET Framework environment to make the system interface practical and brilliant.The groundwater level prediction system greatly facilitates the use of the user and makes the prediction of groundwater level more convenient and faster.