Next Article in Journal
The Cultivation of Industrial Hemp as Alternative Crop in a Less-Favoured Agricultural Area in Southern Italy: The Pignola Case Study
Previous Article in Journal
An Overview of the Glucocorticoids’ Pathways in the Environment and Their Removal Using Conventional Wastewater Treatment Systems
Previous Article in Special Issue
Microplastics in the Aquatic Environment—The Occurrence, Sources, Ecological Impacts, Fate, and Remediation Challenges
Article

Marine Litter Stormy Wash-Outs: Developing the Neural Network to Predict Them

1
Institute of Living Systems, Immanuel Kant Baltic Federal University, 236016 Kaliningrad, Russia
2
Shirshov Institute of Oceanology RAS, 117997 Moscow, Russia
*
Author to whom correspondence should be addressed.
Academic Editors: Francesco Saliu and Paolo Galli
Received: 31 May 2021 / Revised: 5 August 2021 / Accepted: 6 August 2021 / Published: 10 August 2021
(This article belongs to the Special Issue Marine Pollutants)
Observations show that after stormy events, anthropogenic litter is washed ashore for short periods of time, providing the opportunity to collect and remove it from the environment. However, water dynamics in sea coastal zones during and after storms are very complicated, and the transport properties of litter items are very diverse; thus, predicting litter wash-outs using classical numerical models is challenging. We analyze meteorological and hydrophysical conditions in the Baltic Sea coastal zone to further use the obtained data as a training sequence for an artificial neural network (ANN). Analysis of the physical processes behind large litter wash-outs links open-source meteorological (wind speed and direction) and hydrodynamic reanalysis (surface wave parameters) data to the time and location of these wash-outs. A detailed analysis of 25 cases of wash-outs observed at the shore of the Sambian Peninsula was performed. The importance of the duration of the storm and its subsiding phase was revealed. An ANN structure is proposed for forecasting marine debris wash-outs as the first step in the creation of a neural network-based tool for managers and beach cleaners, helping to plan effective measures to remove plastics and other anthropogenic contaminants from the marine environment. View Full-Text
Keywords: marine debris; anthropogenic litter; plastic; artificial neural network; Sambian Peninsula; the Baltic Sea marine debris; anthropogenic litter; plastic; artificial neural network; Sambian Peninsula; the Baltic Sea
Show Figures

Figure 1

MDPI and ACS Style

Fetisov, S.; Chubarenko, I. Marine Litter Stormy Wash-Outs: Developing the Neural Network to Predict Them. Pollutants 2021, 1, 156-168. https://0-doi-org.brum.beds.ac.uk/10.3390/pollutants1030013

AMA Style

Fetisov S, Chubarenko I. Marine Litter Stormy Wash-Outs: Developing the Neural Network to Predict Them. Pollutants. 2021; 1(3):156-168. https://0-doi-org.brum.beds.ac.uk/10.3390/pollutants1030013

Chicago/Turabian Style

Fetisov, Sergei, and Irina Chubarenko. 2021. "Marine Litter Stormy Wash-Outs: Developing the Neural Network to Predict Them" Pollutants 1, no. 3: 156-168. https://0-doi-org.brum.beds.ac.uk/10.3390/pollutants1030013

Find Other Styles

Article Access Map by Country/Region

1
Back to TopTop