Floating sensors predict plastic on Galapagos beaches

Screenshot van de interactieve kaart waarop de locatie van de drijvende sensoren te volgen is.
The drifters can be followed live on an interactive map

Physicists Stefanie Ypma and Erik van Sebille are developing an app that tells park rangers on the Galapagos Islands where they can clean up plastic every day. The researchers use drifters, or 鈥榝loating sensors鈥, to create a model of the complicated ocean currents in and around the archipelago. The first batch of drifters was put to sea from a boat this week. The location of the drifters can be followed live on an . The project is part of the  collaboration with the Galapagos Conservation Trust and partners.

鈥淲e鈥檇 originally planned on travelling to the Galapagos Islands to deploy the drifters last autumn鈥, Stefany Ypma explains. 鈥淏ut we couldn鈥檛 go to the islands ourselves because of the pandemic. It turned out to be much more complicated than we鈥檇 imagined to arrange for the drifters to end up in the right place. I spent weeks sending e-mails and making telephone calls.鈥

Het kaartje met locaties waar de drifters losgelaten moeten worden
The map with the most suitable locations to deploy the drifters

Thrown overboard

After months of administrative detours, the time has finally come to put the drifters out to sea. 鈥淭his is a really important moment for the project: now we can actually start collecting data. It鈥檚 a bit of a pity that we can鈥檛 be there in person, but fortunately we鈥檙e getting help from Inti Keith from the Charles Darwin Foundation, who is on location on the islands. She鈥檚 making sure the drifters end up in the sea. I鈥檝e drawn up a map of the most suitable locations for releasing the drifters, so it鈥檚 just a matter of turning on the drifter and throwing it overboard. Preferably in pairs, because it鈥檚 interesting to see how far away from each other the two drifters end up. That distance is an important ingredient in our model.鈥

Interactive map

The drifters can be followed in real-time via , which was created by Physics Bachelor鈥檚 student Samuel Klumpers. 鈥淲e can configure each drifter remotely to tell it how often to save its GPS location and how often it should send the data to the satellite. The more GPS measurements, the more accurate the map. But that also runs down the battery faster. So we鈥檙e looking for a good balance. The drifters don鈥檛 have a large battery, because they have to be fairly small and lightweight. The more they look like 鈥榬eal鈥 ocean plastic, the better it is for our model.鈥 The drifters are the size of a small stack of breakfast plates, about 20 centimetres across and 5 centimetres thick, and weigh half a kilo each. The drifters鈥 GPS locations are automatically entered into a machine learning model that 鈥榣earns鈥 how the ocean currents move in and around the archipelago.

Many factors come into play when we want to give good advice to park rangers on picking up plastic: not only ocean currents, but also accessibility of coastal areas and impact on local flora and fauna.

Environmental impact

As the model begins collecting data, the researchers are already working on expanding it with other factors that are important to accurately predict where the most plastic will wash ashore, such as the direction and speed of the wind and tides.

鈥淚f we want to give the park rangers good advice on picking up plastic, then there are even more things we need to take into consideration. Like all sorts of characteristics of the coastal areas. The islands have many different types of coastlines, from beaches and mangroves to rocky cliffs. And some of them are more easily accessible than others. The plastic has a larger environmental impact in some places, so it鈥檚 more urgent that they be cleaned up quickly. But there are other areas where cleanup activities would disturb the local fauna, so we don鈥檛 want to send the park rangers there as often.鈥

That sounds like a long wish list for features and functionalities. 鈥淲e鈥檙e actually approaching it the same way we often do when developing software: first we create the basics, and then we add extra features as we go along. We also collaborate a lot with students who can add a new feature to the model as a graduation project.鈥

Crowdfunding

Other items on the wish list include more drifters and research during other seasons. The research budget and the allowed the researchers to purchase 50 drifters. 鈥淲e鈥檙e extremely pleased with that. But the more drifters there are, the more accurate our model becomes. And we know that the seasons also affect the ocean currents. So I hope that we鈥檒l be able to release another batch of drifters in a year and a half, in order to continue refining our model.鈥