A methodology to assess the probability of marine litter accumulation in estuaries.
Estuaries
Hydrodynamic modelling
K-means
Lagrangian modelling
Marine litter assessment
Santoña Bay
Journal
Marine pollution bulletin
ISSN: 1879-3363
Titre abrégé: Mar Pollut Bull
Pays: England
ID NLM: 0260231
Informations de publication
Date de publication:
Jul 2019
Jul 2019
Historique:
received:
16
01
2019
revised:
29
04
2019
accepted:
29
04
2019
entrez:
11
6
2019
pubmed:
11
6
2019
medline:
14
8
2019
Statut:
ppublish
Résumé
In this study, a general methodology that is based on numerical models and statistical analysis is developed to assist in the definition of marine litter cleanup and mitigation strategies at an estuarine scale. The methodology includes four main steps: k-means clustering to identify representative metocean scenarios; dynamic downscaling to obtain high-resolution drivers with which to force a transport model; numerical transport modelling to generate a database of potential litter trajectories; and a statistical analysis of this database to obtain probabilities of litter accumulation. The efficacy of this methodology is demonstrated by its application to an estuary along the northern coast of Spain by comparing the numerical results with field data. The necessary criteria to ensure its applicability to any other estuary were provided. As the main conclusion, the developed methodology successfully assesses the litter distribution in estuaries with minimum computational effort.
Identifiants
pubmed: 31180001
pii: S0025-326X(19)30356-X
doi: 10.1016/j.marpolbul.2019.04.077
pii:
doi:
Substances chimiques
Waste Products
0
Types de publication
Journal Article
Langues
eng
Pagination
309-324Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.