Abstract: Based on the reflection relationship between the groundwater level and its influence factors and BP neural network model, a Levenberg-Marquart optimization algorithm of BP neural network is proposed and used for prediction of groundwater level. According to the comparison between the prediction results and the conventional BP algorithm, it can be seen that this algorithm has advantages of high prediction accuracy, fine stability and fast convergence speed.