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Disinfection efficiency prediction under dynamic conditions: Application to peracetic acid disinfection of wastewater
•Mechanistic disinfection model of PAA disinfection was developed.•The model considers impact of wastewater flow rate and quality on disinfection.•Model predictions were validated at pilot-scale under dynamic conditions.•Two new models of triphasic E. coli inactivation kinetics were proposed.•New in...
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Published in: | Water research (Oxford) 2022-08, Vol.222, p.118879-118879, Article 118879 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Mechanistic disinfection model of PAA disinfection was developed.•The model considers impact of wastewater flow rate and quality on disinfection.•Model predictions were validated at pilot-scale under dynamic conditions.•Two new models of triphasic E. coli inactivation kinetics were proposed.•New inactivation models can be integrated in Eulerian models.
In this work, a mechanistic dynamic model of continuous flow peracetic acid (PAA) disinfection was developed, calibrated and validated, assuming E. coli as indicator microorganism. The model was conceived as a 1-dimensional dispersion model integrating PAA first order decay and E. coli inactivation rate. Lab-scale batch experiments of PAA decay and E. coli inactivation experiments were performed to calibrate corresponding kinetic models. In each sample, conventional wastewater quality parameters were monitored. A PAA pilot reactor was set up to perform both tracer studies, for dispersion model calibration, and continuous flow disinfection experiments, to validate the integration of hydraulics and kinetics models, under both stationary and dynamic conditions. Linear regression models were calibrated to predict hydrodynamic dispersion, given the flow rate, and PAA decay parameters, given effluent quality and PAA dosage. Successful validation of the PAA disinfection model proved the importance of (i) considering the disinfection process as a dynamic system and (ii) integrating real-time estimation of process disturbances, being the initial E. coli concentration and the impact of effluent quality and PAA dosage on PAA decay kinetics. Importantly, novel inactivation models were proposed, as two different modifications of a literature model for thermal inactivation. These models are suitable for dynamic simulation of Eulerian models and can describe the typical triphasic behavior of inactivation kinetics.
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ISSN: | 0043-1354 1879-2448 |
DOI: | 10.1016/j.watres.2022.118879 |