Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models
Dongsheng Wang, Le Chen, Taiyang Li, Xiao Chang, Kaiwei Ma, Weihong You, Chaoqun Tan
Abstract
The uncertainty of the changes in the quality of raw water, and the long lag in the process of coagulation introduce significant difficulties in eliminating turbidity during the treatment of drinking water.
Topics & Concepts
TurbidityCoagulationEffluentRaw waterWater qualityWater treatmentEnvironmental scienceArtificial neural networkLagEnvironmental engineeringComputer scienceArtificial intelligenceEcologyPsychologyBiologyComputer networkPsychiatryHydrological Forecasting Using AIWater Quality Monitoring TechnologiesWater Quality Monitoring and Analysis