We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Modelling the transport and fate of buoyant macroplastics in coastal waters
AI summary Read the abstract
This study used the Delft3D modeling suite to examine how parameter uncertainty affects predictions of buoyant macroplastic transport and fate in coastal waters of the southern North Sea. Results showed that windage (wind-driven drift) and release location were the most important parameters influencing plastic particle trajectories and shoreline deposition, with implications for improving emergency response and monitoring strategies.
As a result of the unabated growth in plastic usage worldwide, their abundance in the marine environment has steadily increased over the last few decades. Nowadays, plastic litter is observed across all oceans and shores. Due to their wide spread and adverse effects on ecology, economy and potentially human health, plastic pollution has been recognized as a worldwide environmental and ecological threat. For these reasons, it is important to reduce and mitigate the abundance of plastic litter in the marine environment. As marine plastic litter predominately originates from near the coast, it is critical to study the plastic behaviour in coastal waters. However, there is considerable uncertainty regarding what factors are influencing the trajectories, distribution and deposition sites of plastic litter. Along with complex physical processes and scarcity of empirical data, there is currently little knowledge and understanding on the transport and fate of plastics in coastal waters.With the aim of obtaining more insight into plastic behaviour, the present study intends to examine the most important processes and quantify the effects of parameter uncertainty on modelling the transport and fate of buoyant macroplastic in coastal waters. The transport and fate of plastics is modelled by combining hydrodynamics with particle tracking concepts. For the simulations the Delft3D software Suite was used, where a Delft3D-FLOW model of the southern North Sea (ZUNO-DD) was coupled to Delft3d-PART. The model calculates how the position of plastic particles evolves in time from their release until the end of the simulation. In this study, model simulations are used as a numerical tool for exploring the relative influence of current uncertainties inherent in process parameters and data inputs on model results. A set of scenarios were defined by changing parameter values on at a time. By studying the changes in particle trajectories and shoreline deposition areas, a better understanding of their relative importance was obtained.The modelling results imply that the effect of windage and release location are the most important parameters. Further, it is observed that dominating driving mechanisms may change with varying forcing conditions and object characteristics. Other factors such as small-scale processes and moment of release may impact particle trajectories and fate. However, the relative influence of these processes is less significant and therefore considered less critical. Adopting the findings of this thesis into decision making policy can support emergency response operations and monitoring strategies.The research on plastic behaviour in the coastal environment is still in its early stage, and much has yet to be revealed. Therefore, further improve understanding of buoyant macroplastic behaviour is required. Validation of the results presented in this study is limited due to the scarcity of empirical data. Thus, further research should be directed towards collecting more field data. Further, it is recommended that effort is put into parametrizing accurately the effect of windage. Furthermore, expanding numerical simulations should beexpanded to a range of conditions and coastal environments so that trends can be compared and highlighted, but also allows for exploring new hypotheses.
More Papers Like This
Drift of buoyant objects in the Baltic sea – model data analysis
AI summary Read the abstract
Researchers used hydrodynamic modeling to simulate the drift of buoyant objects in the Baltic Sea, finding that wind forcing and surface currents produce complex, seasonally variable transport pathways. This study provides estimates of drift timescales and likely destination zones for floating debris including microplastics released from coastal sources.
Processes controlling the dispersion and beaching of floating marine debris in the Barcelona coastal region
AI summary Read the abstract
A Lagrangian simulation of floating marine debris in the Barcelona coastal region found that beaching likelihood was most influenced by coastal geometry and wave direction relative to shoreline orientation. River discharge contributed only about 6% of debris collected on monitored beaches, with areas near release points accumulating the highest particle loads.
Groundings of Drifters in the Wadden Sea Inform the Transport of Floating Macroplastic
AI summary Read the abstract
A drifter tracking campaign in the Dutch Wadden Sea characterized how tidal and wind conditions govern the frequency and duration of floating plastic groundings on intertidal mudflats and coastlines. The resulting statistical model of coastal plastic interactions can improve predictive transport models and help optimize cleanup operations in tidal environments where microplastics accumulate.
Fate of microplastics and mesoplastics carried by surface currents and wind waves: A numerical model approach in the Sea of Japan
AI summary Read the abstract
A particle-tracking ocean model for the Sea of Japan showed that surface currents, wind waves, and Stokes drift all influence the distribution of floating microplastics, with model outputs matching field survey data. The study demonstrates the value of combining wave dynamics with current models to predict where microplastics accumulate in coastal seas.
Numerical modelling of the transport of microplastics in a wind-wave flume
AI summary Read the abstract
A combination of wave flume experiments and numerical modeling was used to track how microplastics move through nearshore waters under wave and wind conditions. The study found that wave-driven processes significantly affect the transport and deposition of microplastics in coastal zones, which act as both sources and sinks for ocean plastic. Improved models incorporating wave dynamics are needed to accurately predict where coastal microplastics end up.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.