Biosolids minimization by partial ozonation of return activated sludge: Model development and bacterial population dynamics

Although ozonation of return activated sludge (RAS) has been used for some time at full-scale biological wastewater treatment plants and a substantive body of literature exists with respect to biosolids minimization, little work has been done on the modeling of the process to predict biosolids reduction. Furthermore, the impact of RAS-ozonation on the microbial community composition in biological treatment systems has rarely been studied. Therefore, the first goal of this study was to develop a new model to predict biosolids reduction based on the International Water Association Activated Sludge Model 3 (IWA-ASM3). The second goal of this study was to investigate the bacterial community structure subjected to RAS-ozonation. To achieve these goals, two pilot-scale wastewater treatment reactors were operated over a three- year period: one control reactor and one RAS-ozonated reactor. The operational results were used to validate the model, and the population structures of ordinary heterotrophic organisms and nitrifiers were determined by high-throughput pyrosequencing of 16S rRNA genes and two functional genes (amoA and nxrB ) targeting autotrophic nitrifying organisms Finally, additional laboratory-scale experiments were conducted to complement the pilot-scale study.The proposed mathematical model of RAS-ozonation assumed that two groups of reactions occurred: (i) the transformation/mineralization of non-biomass solids and (ii) the inactivation of biomass. Laboratory-scale experiments were conducted to parameterize the biomass inactivation process during exposure to ozone. The model was calibrated against the data of Year 1 of the study. Once calibrated, the model satisfactorily simulated the operational data from all three years of the study. After model validation, a global sensitivity analysis was performed. In general, the model outputs were sensitive to operational and ozone reaction parameters, but not to biochemical parameters.. Our findings also imply that the stability of the nitrification process in ozonated systems should be enhanced at constant mixed liquor volatile suspended solids for warm temperatures, but could be reduced at temperatures below 12 °C and aerated SRTs below 10 days.With respect to the composition of the bacterial community, the results suggest that RAS-ozonation does not really influence the structure of the community. Instead, the parallel drifts and slight convergence of the two community structures (in the control and in the RAS-ozonated reactors) during the first and third years indicate that other environmental factors such as influent wastewater composition, temperature, and reactor operation (configuration and SRT) may be more important environmental factors. This study also provides new insights on the importance of environmental variables on community structures of activated sludge systems.To put the data obtained with the pilot-scale study in a more general context, the heterotrophic community assemblies at eight full-scale activated sludge wastewater treatment plants were also determined by high-throughput pyrosequencing of 16S rRNA genes. Observed differences in community compositions and structures were partitioned with respect to a range of key environmental variables, namely reactor size (pilot- vs. full-scale reactors), chemical stress induced by a higher mortality upon exposure to ozone (RAS-ozonated vs. non-ozonated control reactors), seasonal temperature variation (winter vs. summer), inter-annual variation, geographical locations, treatment process types (conventional, oxidation ditch, and sequence batch reactor and influent characteristics. The results suggest that, among the range of environmental variables assessed, influent composition and geographic location contributed approximately 26% of the observed differences in the activated sludge bacterial community structures. The remaining variation (74%) could not be explained by any of the factors that were considered.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.