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Exprimental study of the transport of microplastics in sewage

Zenodo (CERN European Organization for Nuclear Research) 2022
Okba Mostefaoui, Diego López, Emmanuel Mignot, Valérie Massardier‐Nageotte

Summary

An experimental study examined how microplastics behave in sewage under different flow conditions, including the kind of overflows that occur during heavy rainfall when treatment plants are bypassed. The results showed that microplastic transport in sewage is highly dependent on particle density and flow velocity, with lighter particles traveling much further than heavier ones. Understanding how microplastics move through sewer systems during overflow events is key to estimating how much plastic bypasses treatment and reaches rivers and oceans.

Study Type Environmental

Wastewater treatment plants (WWTP) do not stop all microplastic wastes carried by sewage. Combined sewage overflows (CSO) are structures that prevent saturation of WWTP, by diverting excessive volumes of water, coming from heavy rain events to receiving water bodies such as rivers, and lakes that could reach the oceans. To understand the process involved in the transport of microplastics in sewage, we first developed a dispersion process to manufacture model microparticles of defined size and density in order to control the characteristics of the microplastics that we are interested in. This protocol allows the introduction of markers such as a fluorescent dye (Rhodamine B), into the solid phase. Our laboratory-made particles were then seeded in experimental benches of open channel flows representative of structures present in sewage. In order to study the transport of these plastic particles. 3D velocimetry techniques allowed us to obtain the time-dependent velocity field of the flow, and, at the same time, the trajectories of our model particles through the same flow. The collected data enabled us to estimate important transport characteristics such as residence time, trapping and aggregation zone in the centre of flow vortices. Also see: https://micro2022.sciencesconf.org/427209/document

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