Spatial distribution prediction of precipitation in Hebei Province based on BP neural network
Based on the observational data of precipitation in Hebei Province in recent years,and on the basis of using environmental variables such as topography,sea-land location,the regression model based on BP neural network is established to forecast and generate the precipitation distribution map with 500m resolution in Hebei province.The results show that the annual average precipitation is 506.72 mm,belonging to the semi-humid region,and the precipitation prediction model driven by BP neural network has high reliability,and its verification accuracy is 0.82,the Mae and RMSE are 55.27 mm and 69.47 mm,respectively,and the results show that the regional precipitation decreases from the east to the northwest,with the precipitation centers located in Qinhuangdao and Tangshan,and the secondary centers located in Cangzhou and Hengshui The spatial error produced by the model is random distribution,which indicates that the BP model can be used as one of the effective strategies to predict the spatial distribution of precipitation.
万方数据
维普
