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61,005 resultsShowing papers similar to Supporting Data for "Identifying the Origins of Nanoplastics in the Abyssal South Atlantic Using Backtracking Lagrangian Simulations with Fragmentation"
ClearIdentifying the origins of nanoplastics in the abyssal South Atlantic using backtracking Lagrangian simulations with fragmentation
Researchers used a Lagrangian 3D model incorporating fragmentation processes to backtrack nanoplastic particles (identified as PET-like by photo-induced force microscopy) sampled at 5,170 m depth in the South Atlantic abyssal zone to identify their likely ocean surface origins. The fragmentation scheme strongly influenced particle drift trajectories by affecting sinking velocity, and the analysis found it highly unlikely the particles entered the ocean already as nanoplastics, contributing to understanding of deep-sea nanoplastic sources.
Identifying the Origins of PET Nanoplastics in the Abyssal South Atlantic Using Backtracking Lagrangian Simulations with Fragmentation
Researchers used Lagrangian ocean simulations to backtrack PET nanoplastics found at 5,170 meters depth in the South Atlantic Ocean to their likely sources. The modeling suggested the particles originated from coastal areas and were transported to the deep sea through ocean circulation over years to decades. The findings demonstrate that nanoplastics can reach the deepest parts of the ocean far from their land-based origins.
Oceanic Transport and Source Inference of Nanoplastics
This thesis advances understanding of nanoplastic origins, transport, and fate in the ocean using numerical Lagrangian simulations, computing virtual particle trajectories to reconstruct transport pathways, infer pollution sources, and assess accumulation dynamics of nanoplastics in marine environments.
Supplementary data for 'From source to sink: part 1—characterization and Lagrangian tracking of riverine microplastics in the Mediterranean Basin'
This data deposit provides the geographic datasets and Lagrangian particle-tracking simulation outputs used to map how microplastics travel from Mediterranean rivers into the sea and where they accumulate on the surface and seafloor. The underlying research quantifies microplastic fluxes from 549 Mediterranean river basins, providing a foundation for understanding which coastal and marine areas face the highest microplastic exposure from riverine inputs.
Pathways and Hot Spots of Floating and Submerged Microplastics in Atlantic Iberian Marine Waters: A Modelling Approach
Researchers combined a global ocean reanalysis model with a Lagrangian particle-tracking model to simulate the transport pathways and accumulation zones of both floating and submerged microplastics originating from southwestern Iberian coastal waters. The modelling approach identified key hotspots and transport corridors for microplastic pollution in Atlantic Iberian marine waters.
A Regional Lagrangian Model for Assessing the Dispersion of Floating Macroplastics from Different Source Types over the Iberian Peninsula in the North Atlantic Ocean
Researchers used a validated Lagrangian model to track floating macroplastics entering the North Atlantic from rivers, land-based sources, and maritime traffic along Spain's Atlantic coast, finding significant plastic concentrations near the coastline and at medium distances over a seven-year simulation period.
Fate of river-derived microplastics from the South China Sea: Sources to surrounding seas, shores, and abysses
Researchers used Lagrangian particle tracking numerical simulations to model the transport and dispersal of river-derived microplastics from the Pearl, Mekong, and Pasig rivers in the South China Sea, tracking buoyant and sinking MP types to map their fate across surface waters, surrounding seas, coastlines, and deep abyssal zones.
The dynamics of microplastics and associated contaminants: Data-driven Lagrangian and Eulerian modelling approaches in the Mediterranean Sea
Researchers compared Lagrangian and Eulerian data-driven modelling approaches to simulate microplastic dispersal and associated organic pollutant transport in the Mediterranean Sea, finding that adsorption-desorption dynamics between microplastics and hydrophobic contaminants must be coupled for accurate pollution assessment.
Quantification of ocean microplastic fragmentation processes in the Sea of Japan using a combination of field observations and numerical particle tracking model experiments
Researchers combined field observations with a 5-year numerical particle-tracking model to quantify microplastic fragmentation rates in the Sea of Japan, finding that the best-fit simulation included fragmentation occurring both on beaches and in the ocean at about 20% of the beach rate. The study estimated an apparent fragmentation rate of approximately 1.0 mm per 100 days, demonstrating that spatiotemporal simulation data can substantially improve understanding of marine microplastic degradation.
Three-dimensional Lagrangian microplastic transport simulations in the Gulf of Naples (Southern Tyrrhenian Sea)
Researchers used the Campania Regional Ocean Model coupled with a Lagrangian particle tracking algorithm to simulate three-dimensional transport of different plastic polymer types in the Gulf of Naples during February and August 2016, analyzing how particle size, density, and settling velocity affect horizontal and vertical dispersion.
Identifying Marine Sources of Beached Plastics Through a Bayesian Framework: Application to Southwest Netherlands
Researchers developed a Bayesian framework combining Lagrangian backtracking simulations with plastic input estimates from coastlines, rivers, and fisheries to identify marine sources of beached plastics, applied to southwest Netherlands. The framework's advantage over traditional Lagrangian simulations is its ability to incorporate prior knowledge of known sources for spatially resolved source attribution.
Global mapping for the occurrence of all-sized microplastics in seafloor sediments
Researchers developed code for extracting ocean surface current and near-bed thermohaline current data to analyze the hydrodynamic driving forces behind global microplastic distribution patterns in seafloor sediments.
FRAGMENT-MNP: A model of micro- and nanoplastic fragmentation in the environment
Researchers developed an open-source computer model called FRAGMENT-MNP that simulates how plastic debris breaks down into smaller micro- and nanoplastic particles over time in the environment. The model predicts fragmentation patterns based on the physical properties of different plastics and environmental conditions. This tool gives scientists a new way to understand and forecast how plastic pollution evolves, which is important because particle size affects how plastics move through ecosystems and interact with living organisms.
Global mapping for the occurrence of all-sized microplastics in seafloor sediments
Researchers compiled and analyzed sampling data from 2,024 global seafloor sediment sites and developed Python-based tools to extract submarine current state data corresponding to each sampling location, enabling investigation of hydrodynamic drivers of microplastic distribution in seafloor sediments.
Three-dimensional Lagrangian microplastic transport simulations in the Gulf of Naples (Southern Tyrrhenian Sea)
Researchers used the Campania Regional Ocean Model coupled with a Lagrangian particle tracking algorithm to simulate three-dimensional transport of microplastics of varying size and density in the Gulf of Naples during winter and summer 2016. The simulations reveal how seasonal hydrological differences and polymer properties drive distinct horizontal and vertical dispersion patterns for microplastics in this heavily anthropogenically stressed coastal sea.
Data and code for "Microplastics as tracers of water-mass transport history reveal non-local net primary production spillovers"
This entry is a data and code repository (not a primary research paper) associated with a study using microplastics as environmental tracers to track ocean water-mass transport history and understand spillover effects on marine primary production.
Pelacakan Mundur Partikel Sampah dengan Metode Euler-Lagrange di Pelabuhan Ratu
This study used 2D horizontal hydrodynamic modeling with an Euler-Lagrange particle tracking method to backtrack the sources of floating marine debris in Pelabuhan Ratu Bay, West Java, Indonesia. Particle tracking models are essential tools for identifying where marine plastic pollution originates and designing more targeted interventions.
From source to sink: part 1—characterization and Lagrangian tracking of riverine microplastics in the Mediterranean Basin
Researchers characterized riverine microplastics from source to coastal sink, using Lagrangian tracking to trace the transport of particles from inland rivers to coastal deposition zones and identifying key retention points in the system.
Global mapping for the occurrence of all-sized microplastics in seafloor sediments
Researchers developed Python code for extracting ocean surface and near-bed thermohaline current data at any global location and time, enabling analysis of the oceanographic forces driving microplastic distribution and accumulation in seafloor sediments.
Numerical Modelling Techniques for Marine Debris : A Systematic Literature Review
This systematic review surveys numerical modeling approaches used to track the fate and transport of marine plastic debris, covering particle tracking models, hydrodynamic simulations, and bibliometric trends. Understanding how plastic moves through ocean systems is critical for identifying pollution hotspots and designing effective cleanup or prevention strategies.
Particle Tracking Model
This is a numerical model dataset examining how microplastics absorbed into phytoplankton aggregates settle and cycle through ocean waters — not a standalone research article.
A coupled Lagrangian-Eulerian model for microplastics as vectors of contaminants applied to the Mediterranean Sea
A coupled Lagrangian-Eulerian ocean model was developed to simulate microplastics as vectors for adsorbed chemical contaminants in the Mediterranean Sea, tracking plastic particle trajectories alongside pollutant exchange dynamics. The model demonstrates that microplastics can transport contaminants across basin-scale distances and deliver them to organisms far from the original pollution source.
Modelling the sedimentation of macro-, micro- and nanoplastics in the ocean from surface to sediment
Researchers modeled the sedimentation of macro-, micro-, and nanoplastics from the ocean surface to the seafloor, finding that biofouling and particle aggregation dramatically accelerate sinking rates and that most plastics eventually reach benthic environments.
Lagrangian Modeling of Marine Microplastics Fate and Transport: The State of the Science
This comprehensive review synthesizes Lagrangian modeling approaches used to track the fate and transport of marine microplastics, covering particle dynamics, buoyancy, biofouling, and sedimentation processes across global ocean systems. The authors identify key knowledge gaps and recommend standardization of model parameters to improve predictions of plastic distribution and exposure risk.