Automated technology could be used to monitor ocean pollution

Automated technology could be used to monitor ocean pollution

A new project from the University of Cape Town’s (UCT) Department of Electrical Engineering hopes to identify sources of pollution in our waters through automated technology.

Led by Professor Amit Kumar Mishra as the principal investigator, along with Associate Professor Fred Nicolls, senior lecturer Robyn Verrinder and lecturers Jarryd Son and Stephen Paine, Project SMARTPOL will launch soon.

Project SMARTPOL (an abbreviation for “Autonomous network system with specialised and integrated multi-sensor technology for dynamic monitoring of marine pollution”) is a three-year project that was granted funding by the MarTERA ERA-NET Cofund scheme of the European Commission.

UCT’s Department of Electrical Engineering was awarded the funding as part of a consortium that includes the Yildiz Technical University and Sirena Marine Yachts Group from Turkey, AquaBioTech Group and the Malta College of Arts, Science and Technology from Malta, and Interactive Software from Romania. The department will be able to access a budget of €305 000 (about R5,3-million). Part of this will be used to fund students who will work on the project.

The idea is to have autonomous and continual monitoring of coastal areas using a combination of boats, sensors and satellites to collect data to find ocean pollution.

“As our partners include Turkey, Malta and South Africa, we will try to have pilots in these three places, so this will include the harbours near Cape Town,” says Prof Mishra.

“We are planning to have two major ways of monitoring: an unmanned boat – to which we will fit sensors – to navigate coastal areas in a continuous manner and send us data; then we are also planning to use remote sensors for the detection of pollutants in coastal water.

“We are especially planning to work on radar satellites; radar images are good at detecting pollution like oil spills.

“There are cases where people take waste oil on a yacht and just dump it in the ocean,” Prof Mishra adds. “They think that nobody is watching. But with the remote sensor radar images, we can detect the oil streaks.”

Prof Mishra says UCT is an ideal candidate with access to the nearby oceans. “We are lucky to have two oceans on our doorstep, and ocean pollution is nothing new to us. There are not a lot of monitoring systems in place. There is volunteer-based reporting of pollution; there is nothing that is automated.

“Oil spills are one of the major forms of ocean pollution and ships release oil and no one is monitoring this,” he says. “Plastic in the ocean tends to cluster; one of our hopes is to catch these with satellites.

“We will also be trying the monitoring of micro-plastic pollution. Micro-plastic has been found in Antarctic ice; it is everywhere.

“The sensors required for micro-plastic monitoring are costly,” Prof Mishra says. “In one of the items we proposed, we are going to work on a new innovation where we will be tracking the concentration of phytoplankton in ocean water. We will try to see if the concentration of phytoplankton can be used as a proxy to find the concentration of micro-plastic.

“My colleague Associate Professor Nicolls has worked on the use of an optical camera to detect the phytoplankton concentration in ocean water. We are trying to see if the same thing can now be used to find concentrations of micro-plastic. Optical cameras are much cheaper than infrared-based micro-plastic sensors.”

Prof Mishra is the department’s programme convenor for the Master of Engineering in Radar and Electronic Defence degree. “A big chunk of the work for Project SMARTPOL will revolve around using remote sensor data to monitor marine pollution – so that is where our expertise in radar and remote sensing will be quite valuable. The detection of oil streaks, for example, is demonstrated using radar remote sensing satellite data,” he says.

As regards satellite imagery, SMARTPOL is set to build detailed information about ocean pollution through a combined process that will involve on-the-sea monitoring and, later, building models.

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