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A unified modelling framework for type I (discrete) settling and rising of microplastics in primary sedimentation tanks
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Researchers developed and validated a unified mathematical model for simulating how microplastics of different polymer types, sizes, and densities settle or rise in primary sedimentation tanks, predicting removal efficiencies of 12–94% and showing that adding skimming improves performance.
Sewage treatment plants (STPs) are considered as a significant source of microplastic pollution into the terrestrial and aquatic environment. Existing observations suggest that primary treatment accounts for major microplastics removal in STPs, though with high variability due to the complex nature of the polymer compositions, abundance, and sizes in the incoming sewage. Here, we develop a unified modelling framework to simulate the Type I (or discrete) settling or rising behaviour of microplastics to predict their eventual fate in Primary Sedimentation Tank (PST). The model was developed as per the conventional design protocol for PST involving Stokes equation and modifications as per flow regime for settling of nylon and polystyrene microplastics. It was subsequently validated with independent column experiments for both settling (nylon and polystyrene) and rising (low-density polyethylene and polypropylene) microplastics in different size ranges. The validated model was then applied for multiple realistic scenarios of polymer compositions, relative abundance, and size distributions in the incoming sewage. The model predicts removals ranging from 12% to 94% for a mixture of microplastics in the size fraction 0-500 μm. Model simulations also suggest better microplastics removal with the integration of skimming in PST, and optimization of surface overflow velocity.
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Settling model to predict microplastics removal efficiency in wastewater treatments
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A mathematical settling model was built to predict how efficiently wastewater treatment plants remove microplastics based on particle density, size, shape, and surface loading rates. The model shows that dense, large, spherical particles settle most readily, while light fibers and films are far harder to remove — providing treatment plant operators and engineers with a practical tool for optimizing processes to reduce the discharge of microplastics into rivers and coastal waters.
Sedimentation of microplastics interacting with sediment
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Researchers conducted laboratory settling velocity experiments for 12 different microplastic types with varying shapes in both clear and turbid water, finding that the simultaneous presence of suspended sediments significantly alters MP settling behaviour in ways not captured by existing models that assume clean water conditions.
Investigating the fate and transport of microplastics in a lagoon wastewater treatment system using a multimedia model approach
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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.
A new model for the terminal settling velocity of microplastics
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A new empirical model for the terminal settling velocity of microplastics was developed and validated using 1,343 experimental measurements covering a range of particle shapes and materials. The model improves predictions of microplastic sedimentation rates, which are critical for understanding how plastic particles are transported and deposited in water bodies.
Assessing the fate of microplastics in multi-stage treatment units through distribution patterns and settling dynamics models
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Researchers evaluated the fate of microplastics across multiple treatment stages in wastewater treatment plants using diversity indices and settling dynamics models. They found that MPs were distributed across both water and sludge phases, with removal efficiency varying by treatment stage and particle characteristics.
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