Anthropogenic fibres in the Baltic Sea water column: Field data, laboratory and numerical testing of their motion

Bagaev, Andrei; Mizyuk, A. I.; Khatmullina, Liliya; Isachenko, Igor; Chubarenko, Irina

doi:10.1016/j.scitotenv.2017.04.185

Cited by 185 publications

(89 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Eq 4 was developed in [39] for organic-associated sediment aggregates, and has been adapted here to account for virgin MPs and microbial-associated MP aggregates. Except for MPs with Re � 1 that may still follow the Stokes regime [5,57], the settling velocity of virgin MPs with Re > 1 (i.e., non-negligible inertia force) has previously been estimated using empirical definitions of drag coefficients C d and various particle sizes and shapes. For example, [58,59] employed the equation in [37] for regular and irregular virgin MPs of different polymers, while [60] suggested the use of the equation in [61] for spherical and round-like MPs of various polymers.…”

Section: Discussionmentioning

confidence: 99%

Sinking of microbial-associated microplastics in natural waters

2020

View full text Add to dashboard Cite

Degraded plastic debris has been found in nearly all waters within and nearby urban developments as well as in the open oceans. Natural removal of suspended microplastics (MPs) by deposition is often limited by their excess buoyancy relative to water, but this can change with the attachment of biological matter. The extent to which the attached biological ballast affects MP dynamics is still not well characterised. Here, we experimentally demonstrate using a novel OMCEC (Optical Measurement of CEll colonisation) system that the biological fraction of MP aggregates has substantial control over their size, shape and, most importantly, their settling velocity. Polyurethane MP aggregates made of 80% biological ballast had an average size almost twice of those containing 5% biological ballast, and sank about two times slower. Based on our experiments, we introduce a settling velocity equation that accounts for different biological content as well as the irregular fractal structure of MP aggregates. This equation can capture the settling velocity of both virgin MPs and microbial-associated MP aggregates in our experiment with 7% error and can be used as a preliminary tool to estimate the vertical transport of MP aggregates made of different polymers and types of microbial ballast.

show abstract

Section: Discussionmentioning

confidence: 99%

Sinking of microbial-associated microplastics in natural waters

2020

View full text Add to dashboard Cite

show abstract

“…Plastic particle behaviour in shallow water is important for model studies of plastic distribution in coastal areas [30,14]. Major limitations are present in most model studies due to a lack of knowledge on basic plastic particle dynamics and the interaction with complex hydrodynamics [16,18,31,32,33]. It has previously been suggested that waves in combination with wind, currents and plastic densities affect the accumulation patterns of plastic litter on beaches [17,34,35,36].…”

Section: Discussionmentioning

confidence: 99%

Behaviour of plastic litter in nearshore waters: First insights from wind and wave laboratory experiments

Forsberg

Sous

Stocchino

et al. 2020

Marine Pollution Bulletin

View full text Add to dashboard Cite

Plastic litter in nearshore waters is an environmental pollutant with increasing impact on coastal environments. At present, knowledge on basic plastic particle dynamics and the interaction with complex hydrodynamics is lacking. The present laboratory study, performed under controlled wave and wind conditions, demonstrates the dispersion of plastics in shallow waters. The study presents a simple case looking solely at cross-shore particle transport. The results show that both wind and waves as well as plastic properties (shape and density) govern the behaviour of plastic litter in the nearshore zone. Heavy particles behave like natural sand with accumulation in the wave breaking zone. Light particles have varying accumulation along the coastal profile depending on the wave and wind field and the particle shape. More extensive characterization remains to be done in future studies.

show abstract

“…Both settling and rising velocities depend on the size of the particle, on the density difference between particle and fluid, and on the shape, which determines the manner of settling or rising and the presence of secondary movements (Kukulka et al 2012;Ballent et al 2013;Reisser et al 2015;Kooi et al 2016;Kowalski et al 2016;Khatmullina and Isachenko 2017). Experimental values of settling velocity of different MPs range between 1 and 127 mm/s, equivalent to about 86 m -11 km per day (Kowalski et al 2016;Bagaev et al 2017;Khatmullina and Isachenko 2017). Some of the existing semi-empirical formulations of terminal settling velocity developed for sand grains (Dietrich 1982;Ahrens 2000) showed good correspondence with experimental data on settling of MPs spheres and cylinders (Khatmullina and Isachenko 2017).…”

Section: Sinking and Rising Velocity Of Mpsmentioning

confidence: 99%

“…The Lagrangian approach (or numerical particle-tracking) based on introduction of virtual particles that are allowed to move freely through the hydrodynamic field simulated by ocean circulation models is most frequently used to investigate transport of marine debris (Lebreton et al 2012;Maximenko et al 2012;van Sebille et al 2012) including MPs (van Sebille et al 2015;Hardesty et al 2017;Lebreton et al 2018) on both global and regional scales (e.g., Kubota 1994;Isobe et al 2014Isobe et al , 2015Neumann et al 2014;Critchell et al 2015;Mansui et al 2015;Critchell and Lambrechts 2016;Liubartseva et al 2016;Bagaev et al 2017;Carlson et al 2017;Li et al 2018). Because the majority of field data on MPs in the ocean, available for models' verification, consists of manta-neuston net surface samples, MPs Lagrangian modelling is predominantly focused on the transport of floating tracers at the ocean surface (van Sebille et al 2015;Hardesty et al 2017).…”

Section: Modelling Of Mps Transportcurrent Progress and Open Questionsmentioning

confidence: 99%

“…Because the majority of field data on MPs in the ocean, available for models' verification, consists of manta-neuston net surface samples, MPs Lagrangian modelling is predominantly focused on the transport of floating tracers at the ocean surface (van Sebille et al 2015;Hardesty et al 2017). Advection mechanisms implemented in the modeling frameworks include sea surface currents in all cases, and sometimes other factors, (e.g., Stokes drift (Kubota 1994) and windage (Kako et al 2014;Bagaev et al 2017;Lebreton et al 2018)). Global hydrodynamic models coupled with Lagrangian models to simulate transport of floating litter and MPs were able to predict general patterns of distribution (e.g., accumulation of particles in the "garbage patches"), to some extent seasonal variation of the patch location and its spatial dimensions (Lebreton et al 2018), and to give estimations on the temporal increase of the MPs' abundances in the patch based on current estimations of mismanaged plastic waste and future plastic waste scenarios (Isobe et al 2019).…”

Section: Modelling Of Mps Transportcurrent Progress and Open Questionsmentioning

confidence: 99%

See 1 more Smart Citation

Transport of marine microplastic particles: why is it so difficult to predict?

Khatmullina

Chubarenko

2019

Anthropocene Coasts

View full text Add to dashboard Cite

Marine microplastic particles (MPs, <5 mm) exhibit wide ranges of densities, sizes, and shapes, so that the entire MPs “ensemble” at every time instant can be characterized by continuous distributions of these parameters. Accordingly, this community of particles demonstrates distributions of dynamical properties, such as sinking or rising velocity, critical shear stress, and the re-suspension threshold. Moreover, all the MPs’ properties vary significantly with the time spent in marine environment and with particular conditions experienced by the particle on its journey. A brief review of the present-day numerical efforts towards prediction of MPs transport shows the prevalence of the Lagrangian particle tracking approach, especially for floating litter. In a broader context, the present practice of MPs transport modelling follows the “selective” strategy (e.g., only a certain sub-class of MPs, or specific processes, are considered, sometimes in only one- or two-dimensional setting). The heterogeneous nature of MPs, their enormous longevity and movability in marine environment, and the wide spectrum of the involved environmental processes suggest further integration (or coupling) of different models in future, as well as application of other types of models (ensemble modeling, chaos theory approaches, machine learning, etc.) to the problems of MPs transport and fate in the marine environment.

show abstract

Anthropogenic fibres in the Baltic Sea water column: Field data, laboratory and numerical testing of their motion

Cited by 185 publications

References 46 publications

Sinking of microbial-associated microplastics in natural waters

Sinking of microbial-associated microplastics in natural waters

Behaviour of plastic litter in nearshore waters: First insights from wind and wave laboratory experiments

Transport of marine microplastic particles: why is it so difficult to predict?

Contact Info

Product

Resources

About