Modeling of marine litter drift and beaching in the Japan Sea

Yoon, Jihyun; Kawano, S; Igawa, Shuzo

doi:10.1016/j.marpolbul.2009.09.033

Cited by 133 publications

(88 citation statements)

References 3 publications

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“…Apparently, a good correlation exists between accumulated litter and the amount arriving, indicating regular inputs and processes. Recent experiments with drift models in Japan indicate good correlation of flux with litter abundances on beaches (Yoon et al 2010;Kataoka et al 2013). …”

Section: Beachesmentioning

confidence: 97%

Global Distribution, Composition and Abundance of Marine Litter

Galgani

Hanke

Maes

2015

Marine Anthropogenic Litter

445

338

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Marine debris is commonly observed everywhere in the oceans. Litter enters the seas from both land-based sources, from ships and other installations at sea, from point and diffuse sources, and can travel long distances before being stranded. Plastics typically constitute the most important part of marine litter sometimes accounting for up to 100 % of floating litter. On beaches, most studies have demonstrated densities in the 1 item m −2 range except for very high concentrations because of local conditions, after typhoons or flooding events. Floating marine debris ranges from 0 to beyond 600 items km −2 . On the sea bed, the abundance of plastic debris is very dependent on location, with densities ranging from 0 to >7700 items km −2 , mainly in coastal areas. Recent studies have demonstrated that pollution of microplastics, particles <5 mm, has spread at the surface of oceans, in the water column and in sediments, even in the deep sea. Concentrations at the water surface ranged from thousands to hundred thousands of particles km −2 . Fluxes vary widely with factors such as proximity of urban activities, shore and coastal uses, wind and ocean currents. These enable the presence of accumulation areas in oceanic convergence zones and on the seafloor, notably in coastal canyons. Temporal trends are not clear with evidences for increases, decreases or without changes, depending on locations and environmental conditions. In terms of distribution and quantities, proper global estimations based on standardized approaches are still needed before considering efficient management and reduction measures.

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Section: Beachesmentioning

confidence: 97%

Global Distribution, Composition and Abundance of Marine Litter

Galgani

Hanke

Maes

2015

Marine Anthropogenic Litter

445

338

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“…Inclusion of a stochastic term complicates backwards particle tracking (see Section 4.2) and near-shore stochastic motion could cause a particle to erroneously "jump" onto, or off of, land (Carlson et al, 2010). Windage and degradation are not considered as the effects of both variables on the transport of AMD are still poorly understood (Yoon et al, 2010;Critchell and Lambrechts, 2016). As such, the results presented here are most applicable to buoyant AMD with minimal above-water surface area, such as fragments made of polyethylene and polypropylene, which indeed represent the two most abundant polymers found in surface waters worldwide, as well as in the Mediterranean Sea .…”

Section: The Adriatic Seamentioning

confidence: 99%

“…As a result, modeling studies often assume population-dependent, timeinvariant AMD input (Lebreton et al, 2012;Liubartseva et al, 2016) or use spatially uniform initial positions (Yoon et al, 2010;Mansui et al, 2015). The consequences of such deployment schemes cannot be assessed until more reliable estimates of source locations and injection rates become available.…”

Section: General Assessmentmentioning

confidence: 99%

“…Identifying sources and sinks of AMD can assist resource managers maximize the effectiveness of prevention and response efforts by providing scientific support to the implementation of public policies. While progress has been made, most relevant studies either relied on observations of beached AMD (Yoon et al, 2010;Kako et al, 2011Kako et al, , 2014Neumann et al, 2014), made assumptions about the amount of AMD as well as its temporal and/or spatial distributions (Lebreton et al, 2012;Critchell et al, 2015;Mansui et al, 2015;Liubartseva et al, 2016), or used coarse resolution velocity data and/or idealized surface currents (Aliani and Molcard, 2003;Maximenko et al, 2012;van Sebille et al, 2012;Reisser et al, 2013;Isobe et al, 2014). Such studies have identified the physical processes relevant to the transport and accumulation of debris, however, the efficacy of models in aiding management efforts depends strongly on the assumptions applied in the particle tracking scheme (Critchell and Lambrechts, 2016) as well as the resolution and accuracy of the underlying velocity field (Putman and He, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Combining Litter Observations with a Regional Ocean Model to Identify Sources and Sinks of Floating Debris in a Semi-enclosed Basin: The Adriatic Sea

et al. 2017

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“…However, still further investigation is needed to follow the promising role of indirect measurements for EFMD search and detection. Indirect methods of EFMD search relying on Lagrange settings are useful to understand the underlying aspects of its distribution and concentration, but unless the techniques are implemented in a regional setting, such as is done in the works of Pichel et al [45], Reahard et al [44] and Yoon et al [54], its interest for implementing clean up strategies and understanding EFMD patchiness behavior in the water column is limited within a remote sensing framework.…”

Section: Discussionmentioning

confidence: 99%

Detection of exogenous floating marine debris: an overview of techniques associated with remote sensing

Paige¹,

Paìnho²

2015

WIT Transactions on Ecology and the Environment

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Exogenous floating marine debris (EFMD) is a worldwide concern and its ubiquitous characteristics and long-term threat have raised calls for new venues to enable easier and prompt detection at large. The main focus of this paper is to evidence search and detection methods for EFMD using remote sensing techniques. This paper contributes to update research information in the topic under scrutiny and to screen for possible gaps to mitigate EFMD impacts. Several needs for research were found, and, before any work to establish the ground truth could take place, a spectral library model for EFMD going through several stages of biofouling must be created using passive or active research methods. Search methods need to be automated using empirical models based on stratified set-ups previously tested. Several sensors show potential for an indirect search for EFMD, but direct detection of EFMD using multispectral and radar instruments still needs further research through integration with conceptual and empirical modeling techniques.

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Modeling of marine litter drift and beaching in the Japan Sea

Cited by 133 publications

References 3 publications

Global Distribution, Composition and Abundance of Marine Litter

Global Distribution, Composition and Abundance of Marine Litter

Combining Litter Observations with a Regional Ocean Model to Identify Sources and Sinks of Floating Debris in a Semi-enclosed Basin: The Adriatic Sea

Detection of exogenous floating marine debris: an overview of techniques associated with remote sensing

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