title: Bayesian inference of plastic sources by back-tracking virtual plastic particles in the Black-Sea
abstract: In this thesis project, the baseline of a new method has been developed to back-track the sources of plastic marine litter by coupling Bayesian inference with Lagrangian simulations of virtual particles tracking, for the Black Sea region. It has been concluded that the use of Bayesian statistics provides convincing results that can only be upgraded by the addition of new data. However, this approach still needs more thorough validation, through the use of observational data, to confirm its accur
journal: Utrecht University Repository (Utrecht University)