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Marine Litter Aggregation Forecast

Wed, 05/24/2023 - 13:51
Start Date: 
2020
Programme: 
Discovery
End Date: 
2021
Programme Reference: 
20-D-S-TEC-01-f
Country: 
Germany
Contractor: 
Deep Blues Globe
Status: 
Closed
Description: 

Marine Litter Aggregation Forecast presents a new estimation of long-term global distribution of marine litter proceeding from land-based and from sea-based sources at global scale, taking advantage of numerical reanalysis databases of historical met-ocean conditions. Different machine learning techniques are applied to generate long-term climate-based series of those environmental variables that may affect the drift of marine litter over the sea surface such as currents, wind and wave-induced Stokes drift. The generated series feeds a state-of-the-art Lagrangian model in order to simulate the global long-term evolution of marine litter transport through the ocean surface. As marine debris sources coastal cities, river outputs and shipping routes are considered. Besides the main goal of the project, the proposed methodology has also the potential for interesting secondary achievements, such as providing the estimation of global scale marine litter distribution for specific past dates and predicting the expected future location and distribution few months ahead.

 

Application Domain: 
Earth Observation
Keywords: 
Marine Litter
Executive summary: 
Final presentation: