[Introduction]As for the difficulty in real-time monitoring and control of complexed heavy metal-containing wastewater during treatment process,a strategy for optimization and control of the process parameters with electrochemical signals as indicators was proposed.[Method]Simulated wastewater and actual complexed heavy metal-containing wastewater discharged from printed circuit board(PCB)production were applied to study the correlation between the electrochemical signals such as oxidation-reduction potential(ORP),electrical conductivity(EC),and pH during their treatment process,aiming to establish some water quality prediction models.[Result]There is an obvious linear correlation between electrochemical signal and substance concentration,allowing the application of multiple linear stepwise regression for establishing the water quality prediction models.The experimental results of Fenton oxidation treatment for actual complexed heavy metal-containing wastewater indicated that the ORP reached its maximum when the H2O2 concentration was 10 mmol/L,with a chemical oxygen demand(COD)removal rate as high as 75.3%.The coefficient of determination(R2)of the prediction model was 0.806 for Fenton oxidation process and 0.912 for alkaline precipitation process.[Conclusion]The optimization and control strategy for complexed heavy metal-containing wastewater based on electrochemical signals established in this paper has certain guiding significance for actual wastewater treatment.
complexed heavy metal-containing wastewaterelectrochemical signalwater quality prediction modelreal-time monitoring and control
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