Simulating Change of Groundwater Level Based on BP Neural Network Model in Lower Reaches of Tarim River——C5 Well in the Yengsu Section is Selected as an Example

Studying on the C5 well of the Yengsu section 350 meter away from river in lower reaches of Tarim River,analysizing on the factors impacting on groundwater level in the lower reaches of Tarim River,simulating change of groundwater level with three BP neural network models.With Matlab 7.0 as the working platform,the data of C5 well for every 3 months is selected as a sample during 2000.7-2008.12, the transportion quantity of each sample,the number of days of every sample transporting water,average depth of groundwater level in the last sample is selected as model input,the output is the groundwater level on average in this quarter,3-11-1 BP neural network model is established to simulate groundwater level of C5 well.The results show that the network simulation is less than 5%relative error,the model has high accuracy.Using the BP neural network model for simulating the depth of groundwater level,will provide a basis for decision-making for the downstream ecological restoration and water resources of Tarim River.