A methodology to assess the probability of marine litter accumulation in estuaries
Autor: | Fernando J. Méndez, Paula Núñez, Sonia Castanedo, Inés Mazarrasa, Raúl Medina, Andrés García, José A. Juanes, Ana J. Abascal |
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Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Metocean 010501 environmental sciences Aquatic Science Oceanography 01 natural sciences Marine debris Statistical analysis Cluster analysis Probability 0105 earth and related environmental sciences Waste Products Hydrology geography Models Statistical geography.geographical_feature_category 010604 marine biology & hydrobiology Estuary Pollution Spain Litter Environmental science Estuaries Scale (map) Environmental Monitoring Downscaling |
Zdroj: | Marine Pollution Bulletin. 144:309-324 |
ISSN: | 0025-326X |
DOI: | 10.1016/j.marpolbul.2019.04.077 |
Popis: | 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. |
Databáze: | OpenAIRE |
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