In order to improve the stability of the water ecosystem,a mixed prediction model of dissolved oxygen based on variational mode decomposition(VMD)was proposed.Dissolved oxygen was decomposed by VMD to obtain multiple IMFs,and different models were established according to the characteristics of different IMFs.Principal component analysis(PCA)and particle swarm optimization(PSO)to optimize the least squares vector machine model(LSSVM)was uesed in the nonlinear sequence part autoregressive integrated moving average model(ARIMA)was used in the linear sequence part.The prediction results of dissolved oxygen were obtained by combining the prediction results of each part.The model in this paper was applied to a monitoring point in the Changzhou section of the Bei-jing-Hangzhou Grand Canal.The results show that the average absolute error is 0.168,the root mean square error is 0.211,and the average absolute percentage error is 4.576.The mixed model can predict dissolved oxygen well and has certain practical significance for the management of water quality environment.
关键词
水质溶解氧预测/时序分解/变分模态分解/最小二乘支持向量机/差分整合移动平均自回归
Key words
water quality dissolved oxygen prediction/time series decomposition/variational mode decomposition/least square support vector machine/autoregressive integrated moving average model
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