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Depositphotos | smithore

© Depositphotos | smithore

Blind spots in the monitoring of plastic waste

KIT researchers and partners suspect that much more plastic is transported in flowing waters than previously assumed and are developing new modelling approaches.

Whether in drinking water, food or even in the air: plastic is a global problem – and the full extent of this pollution may go beyond of what we know yet. Researchers at the Karlsruhe Institute of Technology (KIT), together with partners from the Netherlands and Australia, have reviewed conventional assumptions for the transport of plastic in rivers. The actual amount of plastic waste in rivers could be up to 90 percent greater than previously assumed. The new findings should help improve monitoring and remove plastic from water bodies. Publication in Water Research. DOI: https://doi.org/10.1016/j.watres.2022.119078

Rivers play a key role in the transport of plastic in the environment. “As soon as plastic enters a river, it is transported rapidly and can spread throughout the environment,” says Dr Daniel Valero from the Institute of Water and River Basin Management at KIT and lead author of a new study on plastic transport. “But, depending on its size and material, plastic can behave very differently in the process. It can sink, be suspended in the water, remain afloat or be stopped by obstacles.” Current methods for estimating plastic pollution in rivers, however, are mainly based on surface observations. “This is the only way to effectively monitor large rivers from bridges. However, what happens under the water surface has not been sufficiently verified so far,” says Valero.

Plastic particles are transported very differently

Together with his research partners, Valero now investigated the behaviour of over 3,000 particles in the size range from 30 millimetres to larger objects such as plastic cups in flowing waters. In laboratory models, each individual particle was tracked in 3D with millimetre precision using a multi-camera system, whereby the entire water column – from the water surface to the bottom – was recorded. With this experiment, the researchers were able to statistically prove that plastic particles behave very differently depending on exactly where they are located in a river. Plastic that is transported below the water surface behaves as predicted by common models for turbulent flows. “The particles are dispersed like dust in the wind” says Valero. As soon as plastic emerges the water surface, however, the situation changes radically: “On contact with the water surface, the particles are caught by the surface tension like flies in a spider’s web. Then they cannot escape easily.” This adhesive effect is just as relevant for surface transport in rivers as the specific buoyancy of a plastic particle.

Better models for visual monitoring

On the one hand, the results of the experiment show that it is not enough to consider only floating plastic on the surface to estimate the amount of plastic in rivers. “The bias is significant. If the turbulent character of the transport of plastic particles under the water surface is not considered, then the amount of plastic waste in rivers can be underestimated by up to 90 percent,” says Daniel Valero. On the other hand, the results confirm that existing knowledge about the behaviour of particles in turbulent flows is relevant for the transport of plastic in rivers and that it can help to estimate the total amount more realistically. To this end, the researchers have quantified the ratio between concentrations of plastic particles at the water surface and at greater depths with different transport conditions. On this basis, monitoring can still be carried out by visual observation of the water surface and the actual transported quantity can be calculated relatively accurately. In addition, the results can help in a very practical way, namely in the development of new approaches for plastic removal: “If you can estimate where the most plastic is, then you also know where a clean-up is most effective,” says Valero.

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Karlsruher Instituts für Technologie (KIT) – mhe 2022

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