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Advances in Marine Pollution and Disaster
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Advances in Marine Pollution and Disaster

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

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 11454

Special Issue Editor

Prof. Dr. Cheol Huh

E-Mail Website
Guest Editor
Department of Convergence Study on the Ocean Science and Technology, Ocean Science and Technology School, Korea Maritime and Ocean University, Busan 49112, Korea
Interests: oil spill response; carbon capture and storage; ocean engineering

Special Issue Information

Dear Colleagues,

Preparedness and response to marine pollution and disaster are necessary for the safe and clean use of the sea. There has been extensive research on various aspects of the proposed subjects. It is required to improve not only traditional technologies but also develop new technologies. Recently, several novel and multidisciplinary technologies are under development to improve capabilities on the preparedness and response. The purpose of the Special Issue is to publish the most exciting, practical, and innovative research about the proposed subjects, providing short turn-around time regarding reviewing and publishing.

High-quality papers related to one of the following topics will be taken into consideration for publication.

  • Use of big data and machine learning
  • Assessment of vulnerable resources and human health & safety
  • Modeling and prediction
  • Analysis of marine pollution risk and environmental impact
  • Quantification for response capability and performance
  • Decision support system
  • Case studies

Prof. Cheol Huh
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • Marine Oil and HNS spill
  • Marine Disasters
  • Environmental impact
  • Preparedness and response

Published Papers (4 papers)

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Research

14 pages, 27581 KiB  
Article
An Operational Supporting System for Oil Spill Emergencies Addressed to the the Italian Coast Guard
by Roberto Sorgente, Dario La Guardia, Alberto Ribotti, Marco Arrigo, Alessandro Signa, Federica Pessini, Gennaro Oliva, Andrea Pes, Angelo Perilli and Antonia Di Maio
J. Mar. Sci. Eng. 2020, 8(12), 1035; https://doi.org/10.3390/jmse8121035 - 19 Dec 2020
Cited by 5 | Viewed by 2492
Abstract
Oil spill models are used to simulate the evolution of an oil slick that occurs after an accidental ship collision, malfunctioning of oil extraction platforms, or illegal discharges intentionally released by ships into the marine environment. We present an integrated operational oil spill [...] Read more.
Oil spill models are used to simulate the evolution of an oil slick that occurs after an accidental ship collision, malfunctioning of oil extraction platforms, or illegal discharges intentionally released by ships into the marine environment. We present an integrated operational oil spill prediction system that improves capacities in preventing and mitigating maritime risks from oil spills. The objective is to provide forecast information about the transport and the fate of a hypothetical oil spill under Nearly-Real Time hydrodynamic conditions in the western and central Mediterranean Sea. This complex forecast system is developed in the framework of the project SOS-Piattaforme & Impatti Off-Shore to the needs of Italian Coast Guard and other institutions, such as the Ministry of the Environment. This service has been operational since July 2020. The innovative aspect of this work is a graphical user interface (the GUI), which allows to select properties, time, and location of a potential oil spill and show the evolution of oil slick concentration and oil fate parameters. This platform represents the first component of a future Decision Support System aimed to identify the risk assessment of oil spills in order to better manage emergencies and minimize economic damages. Full article
(This article belongs to the Special Issue Advances in Marine Pollution and Disaster)
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21 pages, 7171 KiB  
Article
Unresolved CFD and DEM Coupled Solver for Particle-Laden Flow and Its Application to Single Particle Settlement
by Seongjin Song and Sunho Park
J. Mar. Sci. Eng. 2020, 8(12), 983; https://doi.org/10.3390/jmse8120983 - 02 Dec 2020
Cited by 5 | Viewed by 2696
Abstract
In the present study, a single particle settlement was studied using a developed unresolved computational fluid dynamics (CFD) and discrete element method (DEM) coupling solver. The solver was implemented by coupling OpenFOAM, the open-source computational fluid dynamics libraries, with LIGGGHTS, the open-source discrete [...] Read more.
In the present study, a single particle settlement was studied using a developed unresolved computational fluid dynamics (CFD) and discrete element method (DEM) coupling solver. The solver was implemented by coupling OpenFOAM, the open-source computational fluid dynamics libraries, with LIGGGHTS, the open-source discrete element method libraries. An averaging method using a kernel function was considered to decrease the grid dependency. For the drag model of a single particle, a revised volume fraction with a particle volume expansion coefficient was applied. Falling particles in a water tank were simulated and compared with the empirical correlation. A parametric study using several integrated added mass coefficients and volume expansion coefficients from low to high Reynolds numbers was carried out. The simulations which used the developed numerical methods showed significantly improved predictions of particle settlement. Full article
(This article belongs to the Special Issue Advances in Marine Pollution and Disaster)
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20 pages, 2926 KiB  
Article
Estimation of the Mechanical Recovery Potential of Spilled Oil at Sea Considering the Spatial Thickness Distribution
by Yunseon Choe, Hyeonuk Kim, Cheol Huh, Choong-Ki Kim, Meang-Ik Cho and Hyuek-Jin Choi
J. Mar. Sci. Eng. 2020, 8(5), 362; https://doi.org/10.3390/jmse8050362 - 21 May 2020
Cited by 1 | Viewed by 1876
Abstract
Recovery modeling and countermeasures for oil spilled at sea have been extensively researched, but research remains insufficient on recovery potential estimation methods. It is required to access the mechanical recovery potential by considering the relationship between oil behavior, environmental conditions, and the performance [...] Read more.
Recovery modeling and countermeasures for oil spilled at sea have been extensively researched, but research remains insufficient on recovery potential estimation methods. It is required to access the mechanical recovery potential by considering the relationship between oil behavior, environmental conditions, and the performance of clean-up activities. Two response-planning models were developed in this study. One is a spatially uniform recovery model for estimating recovery potential that reflects weathering, oil properties, and equipment efficiency. The other is a spatially nonuniform recovery model that considers not only the above characteristics but also local thickness reduction by skimming. A comparison between the two models and an analysis of their effects on response was carried out through the calculation using an accident scenario. It is possible to analyze the effect of the thin slicks, natural dissipation, and the quantification of deployable skimming systems with the spatially nonuniform recovery model. Finally, we analyzed interrelationships among residual oil volume on the sea, response time, and the number of skimming systems. Full article
(This article belongs to the Special Issue Advances in Marine Pollution and Disaster)
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20 pages, 2516 KiB  
Article
Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis
by Joungyoon Chun, Jeong-Hwan Oh and Choong-Ki Kim
J. Mar. Sci. Eng. 2020, 8(5), 335; https://doi.org/10.3390/jmse8050335 - 09 May 2020
Cited by 10 | Viewed by 3547
Abstract
Oil spills cause socioeconomic and ecological damage to the marine environment and local communities. Implementing policies to effectively cope with such incidents is a challenging task due to the negative public perceptions about governmental responses. Using social big data, this study analyzed such [...] Read more.
Oil spills cause socioeconomic and ecological damage to the marine environment and local communities. Implementing policies to effectively cope with such incidents is a challenging task due to the negative public perceptions about governmental responses. Using social big data, this study analyzed such negative perceptions in South Korea and the factors influencing them. The findings indicate that the public pays relatively little attention to oil spills but expresses serious concerns about the economic and ecological damage and the health and safety of volunteers and local residents. To improve public perception of oil spills, response strategies should aim to (1) analyze it using social big data to reduce the gap between governmental and public spheres, (2) release timely and accurate information to resolve civil distrust and dissatisfaction, (3) minimize direct damage to local communities and ecosystems affected by oil spills, and (4) reduce the impact on volunteers’ and local residents’ health and safety. Furthermore, through a multidisciplinary approach that combines social big data analysis methods with marine scientific research, it can contribute to creating a disaster response policy tailored to policy consumers. Full article
(This article belongs to the Special Issue Advances in Marine Pollution and Disaster)
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