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Investigating the fate and transport of microplastics in a lagoon wastewater treatment system using a multimedia model approach

Journal of Hazardous Materials 2023 12 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Michelle Um, Dhakshitha Weerackody, Li Gao, Arash Mohseni, Ben Evans, Ben Murdoch, Jonathan Schmidt, Linhua Fan

Summary

Researchers developed a multimedia model to predict microplastic fate and transport in a lagoon-based wastewater treatment system, finding high overall removal efficiency with sedimentation as the dominant removal mechanism.

Study Type Environmental

Effluents of municipal wastewater treatment plants (WWTPs) are a major source of microplastics (MP) in the terrestrial and aquatic environment; there is growing concern over the environmental and health impacts of MP pollution. In this study, the MP removal (MP cut-off size= 25 µm) in a lagoon-based wastewater treatment system was predicted by developing a model based on the multimedia modelling approach and utilising MP-specific properties for improving the understanding of the fate and transport of MP in such treatment processes. The high MP removal efficiency of the lagoon treatment system as predicted by the model (99.3%) and determined with the site wastewater samples (97%) could be attributed to its high HRT (>200 days, including that for the storage lagoons) that would allow effective MP removal with the system. Evaluation of the model predictions of MP concentration demonstrated reasonable alignment with measured concentrations in the facultative, maturation and winter storage lagoons of the system. Further evaluation of model predictions for various MP size classes (25-100, 100-200, 200-500 and >500 µm) obtained reasonable predictions for MP within the size range of 25-500 µm, indicating that the model is better used for predicting MP within that size range. The sensitivity analysis revealed the model predictions to be sensitive towards the operating/water quality parameters in the order of influent wastewater flowrate, MP concentration in influent wastewater, and MP settling rate in the water column of the lagoon. The study showed the potential of the developed model as a quantitative assessment tool for better management of MP in lagoon-based WWTPs.

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