scholarly journals Impact of Microplastics on Oil Dispersion Efficiency in the Marine Environment

2021 ◽  
Vol 13 (24) ◽  
pp. 13752
Author(s):  
Min Yang ◽  
Baiyu Zhang ◽  
Yifu Chen ◽  
Xiaying Xin ◽  
Kenneth Lee ◽  
...  
Keyword(s):  
Machine Learning ◽  
Droplet Size ◽  
Oil Spill ◽  
Volume Concentration ◽  
Oil Droplet ◽  
Mixing Energy ◽  
Oil Dispersant ◽  
Negative Impacts ◽  
Total Oil ◽  
Oil Droplet Size

Oil spill and microplastics (MPs) pollution has raised global concerns, due to the negative impacts on ocean sustainability. Chemical dispersants were widely adopted as oil-spill-treating agents. When MPs exist during oil dispersion, MP/oil-dispersant agglomerates (MODAs) are observed. This study explored how MPs affect oil-dispersion efficiency in oceans. Results showed that, under dispersant-to-oil volumetric ratio (DOR) 1:10 and mixing energy of 200 rpm, the addition of MPs increased the oil droplet size, total oil volume concentration, and oil-dispersion efficiency. Under DOR 1:25 and mixing energy of 120 rpm, the addition of MPs increased the oil droplet size but resulted in a decrease of total oil volume concentration and dispersion efficiency. Compared with the oil volume concentration, the oil droplet size may no longer be an efficient parameter for evaluating oil-dispersion efficiency with the existence of MODAs. A machine learning (ML)-based XGBRegressor model was further constructed to predict how MPs affected oil volume concentration and oil-dispersion efficiency in oceans. The research outputs would facilitate decision-making during oil-spill responses and build a foundation for the risk assessment of oil and MP co-contaminants that is essential for maintaining ocean sustainability.

scholarly journals Effect of storage on the rheological and viscoelastic properties of mayonnaise emulsions of different oil droplet size

Heliyon ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. e05788
Author(s):  
George Katsaros ◽  
Magdalini Tsoukala ◽  
Marianna Giannoglou ◽  
Petros Taoukis
Keyword(s):  
Droplet Size ◽  
Viscoelastic Properties ◽  
Oil Droplet ◽  
Oil Droplet Size

scholarly journals Effect of Polydispersity in Oil-droplet Size on Lipid Oxidation in Oil-in-water Emulsions

2016 ◽  
Vol 17 (3) ◽  
pp. 91-94 ◽  
Author(s):  
Yayoi MIYAGAWA ◽  
Kohshi KIKUCHI ◽  
Hirokazu SHIGA ◽  
Shuji ADACHI
Keyword(s):  
Lipid Oxidation ◽  
Droplet Size ◽  
Oil Droplet ◽  
Oil In Water ◽  
Oil Droplet Size

Effect of protein type, concentration and oil droplet size on the formation of repulsively jammed elastic nanoemulsion gels

Soft Matter ◽  
2019 ◽  
Vol 15 (47) ◽  
pp. 9762-9775 ◽  
Author(s):  
Aakash Patel ◽  
Athira Mohanan ◽  
Supratim Ghosh
Keyword(s):  
Whey Protein ◽  
Droplet Size ◽  
Sodium Caseinate ◽  
Oil Droplet ◽  
Critical Droplet ◽  
Oil In Water ◽  
Oil Droplet Size

Sodium caseinate (SC)-stabilized 40% oil-in-water nanoemulsions (NEs) could be transformed into elastic gels below a critical droplet size due to increase in ϕeff by a thicker steric barrier of SC, while whey protein (WPI)-stabilized NEs remained liquid due to thinner steric barrier of WPI.

scholarly journals Effect of Reconstituted Emulsion Oil-droplet Size on Release Rate of the Emulsified d-Limonene Spray-Dried Powder in Boiling Water

2010 ◽  
Vol 11 (2) ◽  
pp. 113-116
Author(s):  
Koji KAWAKAMI ◽  
Akiko FUJITA ◽  
Vita PARAMITA ◽  
Tze Loon NEOH ◽  
Hidefumi YOSHII
Keyword(s):  
Droplet Size ◽  
Release Rate ◽  
Boiling Water ◽  
Oil Droplet ◽  
Emulsion Oil ◽  
Oil Droplet Size ◽  
Spray Dried

A Comprehensive System for Simulating Oil Spill Trajectory and Behaviour in Subsurface and Surface Water Environments

2017 ◽  
Vol 2017 (1) ◽  
pp. 1251-1266 ◽  
Author(s):  
Pu Li ◽  
Haibo Niu ◽  
Shihan Li ◽  
Rodrigo Fernandes ◽  
Ramiro Neves
Keyword(s):  
Oil Spill ◽  
Oil Spills ◽  
Comprehensive System ◽  
Coupled Models ◽  
Negative Impacts ◽  
Integrated Or ◽  
Offshore Oil ◽  
Significant Support ◽  
Oil Droplet Size

Abstract 2017-184: Accidental release of pollutants such as offshore oil spills can cause significant negative impacts on the environment and socio-economy, and constitutes a direct hazard to marine life and human health. Particularly, deepwater blowout released spills are more challenging to study because the trajectory and behaviour of oil are difficult to be comprehensively simulated. Although there are many integrated or coupled models available, there still lacks open source deepwater oil spill models to predict not only the trajectory but also the mass balance of oil. It is the objective of this study to fill this gap by coupling the Texas A&M Oilspill Calculator (TAMOC) for nearfield simulation and the advanced oil spill module in the Modelo Hidrodinâmico (MOHID) 3D Water modeling system. In addition, the Weber number scaling approach is also integrated in both the near- and far-field simulation for oil droplet size prediction. The applicability of the proposed comprehensive system is tested by a case study of simulation of oil spills released from a depth of 3,500 m in the Scotian Shelf, Canada. The results demonstrate a high feasibility of the proposed system. By providing comprehensive simulation for oil spills, the developed system should provide significant support to the response to offshore oil spill, especially from deepwater blowout.

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