Mikael Kaandorp

Mikael Kaandorp
Utrecht University | UU · Institute for Marine and Atmospheric Research Utrecht

About

18
Publications
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417
Citations

Publications

Publications (18)
Article
Full-text available
A novel machine learning algorithm is presented, serving as a data-driven turbulence modeling tool for Reynolds Averaged Navier-Stokes (RANS) simulations. This machine learning algorithm, called the Tensor Basis Random Forest (TBRF), is used to predict the Reynolds-stress anisotropy tensor, while guaranteeing Galilean invariance by making use of a...
Article
Full-text available
Estimates of plastic inputs into the ocean are orders of magnitude larger than what is found in the surface waters. This can be due to discrepancies in the sources of plastic released into the ocean, but can also be explained due to the fact that it is not well known what the most dominant sinks of marine plastics are, and on what time scales these...
Article
Full-text available
Field studies in the global ocean have shown that plastic fragments make up the majority of plastic pollution in terms of abundance. It is not well understood how quickly plastics in the marine environmental fragment, however. Here, we study the fragmentation process in the oceanic environment by considering a model which captures continuous fragme...
Article
Full-text available
Plain Language Summary A large part of plastic in the ocean is located at or near beaches. This plastic can break down into micro‐plastics or be ingested by animals. Therefore, it is important to clean up these beaches. The easiest way to do so is to prevent the plastic from entering the oceans initially by interfering at the source. In this study,...
Article
Full-text available
Coastlines potentially harbor a large part of litter entering the oceans, such as plastic waste. The relative importance of the physical processes that influence the beaching of litter is still relatively unknown. Here, we investigate the beaching of litter by analyzing a data set of litter gathered along the Dutch North Sea coast during extensive...
Technical Report
Full-text available
The coastal and open oceans represent a major, but yet unconstrained, sink for plastics. It is likely that plastic-biota interactions are a key driver for the fragmentation, aggregation, and vertical transport of plastic litter from surface waters to sedimentary sinks. Cruise SO279 conducted sampling to address core questions of microplastic distri...
Preprint
Full-text available
Coastlines potentially harbor a large part of litter entering the oceans such as plastic waste. The relative importance of the physical processes that influence the beaching of litter is still relatively unknown. Here, we investigate the beaching of litter by analyzing a data set of litter gathered along the Dutch North Sea coast during extensive b...
Preprint
Full-text available
Field studies have shown that plastic fragments make up the majority of plastic pollution in the oceans in terms of abundance. How quickly environmental plastics fragment is not well understood, however. Here, we study this fragmentation process by considering a model which captures continuous fragmentation of particles over time in a cascading fas...
Data
Supplementary information for "Closing the Mediterranean Marine Floating Plastic Mass Budget: Inverse Modelling of Sources and Sinks"
Preprint
Full-text available
Preprint of our inverse modelling study where the sources and sinks of marine plastic in the Mediterranean are estimated. Parameters in a Lagrangian particle model for sources and sinks are optimized by making use of observational data of plastic concentrations in the surface water. A summary of the work including animations can also be found on: h...
Preprint
Full-text available
A novel machine learning algorithm is presented, serving as a data-driven turbulence modeling tool for Reynolds Averaged Navier-Stokes (RANS) simulations. This machine learning algorithm, called the Tensor Basis Random Forest (TBRF), is used to predict the Reynolds-stress anisotropy tensor, while guaranteeing Galilean invariance by making use of a...
Article
Full-text available
Marine plastic debris floating on the ocean surface is a major environmental problem. However, its distribution in the ocean is poorly mapped, and most of the plastic waste estimated to have entered the ocean from land is unaccounted for. Better understanding of how plastic debris is transported from coastal and marine sources is crucial to quantif...

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Projects

Projects (2)
Project
Finding sources and sinks of plastics in the Mediterranean using Lagrangian particle tracking and inverse modelling
Project
Funded by a European Research Council Horizon 2020 Starting Grant (2017-2022), the goal of this project is to construct a three-dimensional distribution of ocean plastic pollution, by creating a novel comprehensive modelling framework that tracks plastic movement through the ocean.