摘要
Abstract
The STL method is used to decompose the monthly surface runoff data from 1958 to 2023 into trend term,seasonal term and residual term,and the LSTM model is used to predict the final runoff prediction value.The results show that the goodness of fit of the LSTM model on the training set and the verification set is 0.95 and 0.94,respectively,and the root mean square error is 4.9 mm and 1.4 mm,respectively,and the prediction accuracy is high.In addition,the prediction of surface runoff in 2024 shows a significant increase in summer and autumn runoff.This method can effectively improve the accuracy of surface runoff prediction,and can also provide reference for water resources management and flood control and disaster reduction in Tangshan City.关键词
唐山市/STL/LSTM/地表径流量Key words
Tangshan city/STL/LSTM/surface runoff分类
建筑与水利
