Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks.

Algorithms Environmental Monitoring / methods Machine Learning Mediterranean Sea Neural Networks, Computer Sicily Waste Products / analysis
MEDITS Machine learning Mediterranean Multilayer perceptron Self-organizing maps

Journal

Marine pollution bulletin
ISSN: 1879-3363
Titre abrégé: Mar Pollut Bull
Pays: England
ID NLM: 0260231

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 15 07 2019
revised: 06 09 2019
accepted: 07 09 2019
pubmed: 24 9 2019
medline: 6 2 2020
entrez: 24 9 2019
Statut: ppublish

Résumé

Marine litter has significant ecological, social and economic impacts, ultimately raising welfare and conservation concerns. Assessing marine litter hotspots or inferring potential areas of accumulation are challenging topics of marine research. Nevertheless, models able to predict the distribution of marine litter on the seabed are still limited. In this work, a set of Artificial Neural Networks were trained to both model the effect of environmental descriptors on litter distribution and estimate the amount of marine litter in the Central Mediterranean Sea. The first goal involved the use of self-organizing maps in order to highlight the importance of environmental descriptors in affecting marine litter density. The second goal was achieved by developing a multilayer perceptron model, which proved to be an efficient method to estimate the regional quantity of seabed marine litter. Results demonstrated that machine learning could be a suitable approach in the assessment of the marine litter issues.

Identifiants

DOI: 10.1016/j.marpolbul.2019.110580 PMID: 31546112
pubmed: 31546112
pii: S0025-326X(19)30728-3
doi: 10.1016/j.marpolbul.2019.110580
pii:
doi:

Substances chimiques

Waste Products 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110580

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

S Franceschini (S)

Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, via della Ricerca Scientifica snc, 00133 Rome, Italy; CoNISMa, Piazzale Flaminio, 9, 00196 Rome, Italy. Electronic address: simone.franceschini@uniroma2.it.

F Mattei (F)

Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, via della Ricerca Scientifica snc, 00133 Rome, Italy; CoNISMa, Piazzale Flaminio, 9, 00196 Rome, Italy.

L D'Andrea (L)

Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, via della Ricerca Scientifica snc, 00133 Rome, Italy; CoNISMa, Piazzale Flaminio, 9, 00196 Rome, Italy.

A Di Nardi (A)

Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, via della Ricerca Scientifica snc, 00133 Rome, Italy.

F Fiorentino (F)

Istituto per le Risorse Biologiche e le Biotecnologie Marine (IRBIM) - (CNR), Italy.

G Garofalo (G)

Istituto per le Risorse Biologiche e le Biotecnologie Marine (IRBIM) - (CNR), Italy.

M Scardi (M)

Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, via della Ricerca Scientifica snc, 00133 Rome, Italy; CoNISMa, Piazzale Flaminio, 9, 00196 Rome, Italy.

S Cataudella (S)

Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, via della Ricerca Scientifica snc, 00133 Rome, Italy; CoNISMa, Piazzale Flaminio, 9, 00196 Rome, Italy.

T Russo (T)

Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, via della Ricerca Scientifica snc, 00133 Rome, Italy; CoNISMa, Piazzale Flaminio, 9, 00196 Rome, Italy.

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Rummaging through the bin: Modelling marine...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pratiques en santé publique › Surveillance de l'environnement › Rummaging through the bin: Modelling marine...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Apprentissage machine › Rummaging through the bin: Modelling marine...
questionsmedicales.fr › Régions géographiques › Océans et mers › Mer Méditerranée › Rummaging through the bin: Modelling marine...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Réseaux neuronaux (ordinateur) › Rummaging through the bin: Modelling marine...
questionsmedicales.fr › Régions géographiques › Iles › Iles de la Méditerranée › Sicile › Rummaging through the bin: Modelling marine...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Déchets › Rummaging through the bin: Modelling marine...