The early warning system builds upon a state-of-the-art global hydrological forecasting model developed by DHI. Estimates of plastic waste reaching the environment, which serve as model inputs, are provided by leading research organizations in the field, including the University of Leeds and UN-Habitat. Field site data on plastic load are provided by The Ocean Cleanup. The GPML risk and warning system for macroplastic litter in rivers includes all major river systems in the world. Simulations are produced for over 870,000 points. The data can be accessed through the GPML Data Hub and additional insights on the data are provided at UNEP GPML Warning for plastic litter in rivers . Plastic load in rivers can be visualized in tons/day or relative to the average load at the point.

Lack of data is one of the major challenges when trying to address the plastic litter problem. The GPML early warning system can help map where the problem is and how it is changing in the upcoming 9 months. Using the forecasts, one can identify upcoming freshwater hotspots and accumulation points. This information can support local authorities and NGOs in planning and prioritizing interventions and monitoring activities.

For more information please contact Nicola Balbarini, Water Resources Engineer at the UNEP-DHI Center via NIBA@dhigroup.co