Abstract
AbstractMonitoring of effluent turbidity is essential to evaluate the coagulation process in wastewater treatment plants (WWTPs). A digital imaging system based on the texture analysis of flocs has been tested in a Norwegian municipal WWTP to predict changes in coagulation conditions and outlet turbidity. Principal component analysis (PCA) was applied to prove that the textural features of flocs’ images depend on the inlet wastewater parameters and coagulation conditions. Partial least squares regression (PLSR) was performed for the outlet turbidity prediction. The best model resulted in 86.6 % prediction accuracy using two wastewater quality parameters (inlet flow and inlet turbidity) and four textural feature vectors retrieved from the images of flocs. Furthermore, the outlet turbidity predicted by this model resulted in a lower amount of underestimated values compare to the model, which contained only wastewater quality parameters. A new term – floc texture index (FTI) summarizes the textural features ...
Highlights
Coagulation is a well-known and widely used water and wastewater treatment method to remove suspended solids, phosphates and other water impurities
This paper presents the applicability of the concept in continuous mode with real wastewater in the context to use it as a dosage control technique for optimizing the coagulation process
Data overview At the time when the tests were conducted, Frogn wastewater treatment plants (WWTPs) used the flow-proportional concept of coagulation dosage control with the ability of manual dose adjustment
Summary
Coagulation is a well-known and widely used water and wastewater treatment method to remove suspended solids, phosphates and other water impurities. Particles which aggregate during the coagulation/flocculation process are called flocs. The size and surface properties of flocs formed under different coagulation mechanisms strongly influence their behaviour during further solid-liquid separation process (Bache & Gregory, 2007). A method of online floc size evaluation based on nephelometric turbidity measurements was presented (Cheng, Kao, & Yu, 2008) and further developed into nephelometric turbidimeter monitoring system (NTMS) (Cheng, Chang, Chen, Yu, & Huang, 2011; Yu, Chen, & Cheng, 2017). Many attempts were done so far to study, characterise and control particles aggregating during coagulation, there is still a gap in the application knowledge of how to use the floc features to optimize the coagulation process, provide cheap and robust dosage control system
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