Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2023
License: CC BY
Data sources: ZENODO
https://doi.org/10.5194/egusph...
Article . 2023 . Peer-reviewed
Data sources: Crossref
versions View all 2 versions
addClaim

Numerical analysis of transport and accumulation of floating marine litter in the Black Sea.

Authors: Castro Rosero, Leidy Maricela; Hernandez, Ivan; Espino, Manuel; Alsina Torrent, Jose M;

Numerical analysis of transport and accumulation of floating marine litter in the Black Sea.

Abstract

Floating marine litter (FML) is a global problem because of the risk it poses to marine life and human health. In a semi-enclosed basin such as the Black Sea, the slow replenishment of water and the strong input from European rivers potentially favoured the increasing accumulation of FML. In this sense, it is absolutely necessary to generate strategies in the Black Sea to mitigate the impacts on the marine ecosystem and human populations. This is one focus of the DOORS European Union Project (Developing Optimal and Open Research Support for the Black Sea) within which this work is framed.In recent years, scientific studies on marine litter in the Black Sea have increased at regional and coastal scales. Such works include counting, analysis of distribution, estimation of riverine input and the use of numerical models to identify circulation and accumulation patterns (Bouzaiene et al., 2021; González-Fernández et al., 2022). Using Lagrangian models has opened the door to the discussion of how such models should be configured and the importance of whether to include phenomena such as stokes drift. In addition, some areas have been suggested as high accumulation areas but these results diverge between authors and available data. LOCATE is a tool built with the Lagrangian solver OceanParcels and developed for the prediction of areas of high FML accumulation, which has been adapted and validated for the Black Sea. The experiments were performed using surface current velocity and Stokes drift data taken from the Copernicus Marine Service with items of FML represented by Lagrangian particles in the model. Two simulations were run with a homogeneous particle release over the whole basin, every month during one year. The first one with only the surface currents and the second one adding Stokes drift, in order to evaluate the contribution of including the Stokes drift taken from the wave data. A third simulation was carried out with both drivers and releasing particles daily during one year according to the estimated amount of waste transported at the mouths of the nine main contributing rivers, to identify the trends of particle movement from these discharge points.The results indicate the south-western area as an area of high coastal accumulation in all three simulated cases. The mainly cyclonic circulation, the large input of FML from the Danube River and other northern rivers including a relevant fraction of the outflow from the Kerch Strait probably explained this. In addition, the percentage of particles beached on shore and the residence time in offshore waters were strongly influenced by including Stokes drift, moving from a percentage of 45.5% to 75.5% and from an average residence time of 99 to 63 days. These values are in agreement with recent literature supporting an overestimation of residence times by omitting Stokes drift. Finally, this is only the beginning of a forecasting tool for FML in the Black Sea that is expected to be further improved by using coupled hydrodynamic models, extending the resolution with nested areas and incorporating higher accuracy in coastal processes including beaching.

Keywords

floating marine litter, numerical modeling, Marine Pollution, LOCATE, Marine Debris

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green