Modeling study reveals blind spots in the monitoring of plastic waste

Blind spots in the monitoring of plastic waste
For their study, the researchers used river models that were filled with plastic waste. Credit: Daniel Valero / KIT

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% greater than previously assumed. The new findings should help improve monitoring and remove plastic from water bodies.

Rivers play a key role in the of 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 , remain afloat or be stopped by obstacles."

Current methods for estimating plastic pollution in , 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 behavior of more than 3,000 particles in the size range from 30 millimeters to larger objects such as plastic cups in flowing waters. In laboratory models, each individual particle was tracked in 3D with millimeter precision using a multi-camera system, whereby the entire water column—from the water surface to the bottom—was recorded.

In this experiment, the researchers were able to statistically prove that 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 . "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 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%," says Daniel Valero.

On the other hand, the results confirm that existing knowledge about the behavior 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 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.

More information: Daniel Valero et al, The key role of surface tension in the transport and quantification of plastic pollution in rivers, Water Research (2022). DOI: 10.1016/j.watres.2022.119078

Citation: Modeling study reveals blind spots in the monitoring of plastic waste (2022, November 2) retrieved 27 February 2024 from
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

Explore further

Drones and machine learning reveal the scale of plastic pollution in river habitats


Feedback to editors