Wastewater disinfection processes are typically designed according to heuristics derived from batch experiments where the interaction among wastewater quality, reactor hydraulics and inactivation kinetics is often neglected. In this paper, a CFD study was conducted in a non-deterministic (ND) modeling framework to predict the Escherichia coli inactivation by peracetic acid (PAA) in municipal contact tanks fed by secondary settled wastewater effluent. The extent and the variability associated with the observed inactivation kinetics were both satisfactorily predicted by the stochastic inactivation model at a 95% confidence level. Moreover, it was found that: (a) the process variability induced by reactor hydraulics is negligible when compared to the process variability one caused by inactivation kinetics; (b) the PAA dose required for meeting regulations is dictated equally by the fixed limit of the microbial concentration as well as its probability of occurrence; (c) neglecting the probability of occurrence during process sizing could lead to an underestimation of the PAA dose required by as much as 100%. Finally, the ND-CFD model was used to generate sizing information in the form of probabilistic disinfection curves relating E. coliinactivation and probability of occurrence with the average PAA dose and PAA residual concentration at the outlet of the contact tank.
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 September 2020.
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#149
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Altmetric has tracked 28,043,368 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
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