The process flow of petrochemical industries is complex and there are many produc-tion devices.The water quality and quantity of the petrochemical wastewaters treatment system fluctuate greatly,making it difficult to respond to regulation in a timely manner,resulting in fre-quent impacts on downstream wastewater treatment systems.This study is based on real water quality data of homogeneous pool effluent,conduct correlation analysis and feature dimensionality reduction on water quality parameters,and constructs a multi parameter water quality prediction model and a time series water quality prediction model.The research results indicate that there is a certain correlation between conductivity(Cond)and COD(PCC and SCC are 0.493 and 0.513,re-spectively),and the correlation order between various water quality parameters and COD is Cond＞pH＞NH3-N＞TP.SVR and BP-ANN multi parameter prediction models did not achieve ideal pre-diction results,with determination coefficients R2 both below 0.5;The SVR and BP-ANN time se-ries models have higher prediction accuracy,and the parameter model has significantly improved.The coefficient of determination R2 has increased by an average of 45％,both higher than 0.7,the predicted values are consistent with the measured values and have a high degree of fit;The on-site verification results of the model indicate that when the upstream wastewaters quality fluctuates,model can accurately predict the trend of water quality fluctuations and effectively guide the on-site regulation of process parameters.
维普
万方数据
