Pollutants and Particle Dispersion in Marine Environments: From Observations to Modeling

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Physical Oceanography".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 3484

Special Issue Editor


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Guest Editor
CNR-ISMAR (Consiglio Nazionale delle Ricerche – Istituto di Scienze Marine), Venice, Italy
Interests: processes that lead to the formation of dense waters and their dynamics; riverine plume dynamics; pollutants and particle dispersion in marine environments; modeling and observation of small-scale turbulent processes

Special Issue Information

Dear Colleagues,

The anthropogenic impacts on the marine environment have been growing constantly in the last century. This is clearly shown by the increase in dissolved (chemicals) and particulate (micro and macropalstics) pollutant content in marine waters, not only at coastal scales but also in the open ocean. The progressively expanding knowledge base on those issues needs to be aided with observations and tools aimed at studying and forecasting the dynamics of pollutant dispersion.

The purpose of this Special Issue is to provide a cutting-edge view of current scientific research on the observation and tracking of pollutants in the marine environment. The collected articles will focus on the following:

  • Direct observation of pollutants with automated in situ techniques and remote sensing (both satellite- and land-based);
  • Tracking of pollutant dispersion in marine environments with the aid of direct observations (drifter, floats, and other Lagrangian instrumentation);
  • Tracking of pollutants and particles with numerical modeling tools.

Review articles on observations and models will also be considered for this Special Issue.

Dr. Francesco M. Falcieri
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • microplastic
  • numerical modeling
  • particle tracking
  • satellite observations
  • coastal impacts

Published Papers (1 paper)

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Research

18 pages, 1800 KiB  
Article
Determination of Wastewater Behavior of Large Passenger Ships Based on Their Main Parameters in the Pre-Design Stage
by Volkan Şahin and Nurten Vardar
J. Mar. Sci. Eng. 2020, 8(8), 546; https://doi.org/10.3390/jmse8080546 - 22 Jul 2020
Cited by 12 | Viewed by 3002
Abstract
Wastewater formed on ships is divided into blackwater and graywater. While blackwater refers to wastewater from toilets, graywater defines wastewater from sinks, laundry and restaurants. Even though some treatments are applied onboard before discharge, wastewater contains significant amounts of fecal bacteria, heavy metals, [...] Read more.
Wastewater formed on ships is divided into blackwater and graywater. While blackwater refers to wastewater from toilets, graywater defines wastewater from sinks, laundry and restaurants. Even though some treatments are applied onboard before discharge, wastewater contains significant amounts of fecal bacteria, heavy metals, etc., in excess of water quality standards. Dilution is a secondary natural treatment in the ship-wake region, which occurs after wastewater discharging. According to the Environmental Protection Agency (EPA), the natural treatment process is quantified by dilution factor, which is strongly dependent on vessel width, draft, speed and wastewater discharge rate. In this study, an Artificial Neural Network (ANN) model linked with the main ship parameters was developed to estimate the dilution factors while the ship is in the preliminary design stage. Gross ton, deadweight ton, passenger number, freeboard, engine power, propeller number and block coefficient values of 1041 large cruise ships were used to estimate the likely dilution factors. The best ANN estimation model was determined by Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) methods. A decision tree was created for the results and the most important parameters affecting the dilution factors were determined. The main ship dimensions are needed for the dilution factor formulation of EPA whereas in the model created in this study only the gross ton or engine power of the ship is sufficient to estimate the dilution. Moreover, this new model is also usable for the estimation of dilution factors even if the main dimensions of the ship are not known. Full article
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