Particle tracking method in the approach for prediction of oil slick transport in the sea: modelling oil pollution resulting from river input

Korotenko, Konstantin A.; Mamedov, R.M.; Kontar, A.E.; Korotenko, L.A

doi:10.1016/j.jmarsys.2003.11.023

Cited by 63 publications

(38 citation statements)

References 9 publications

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“…There is consistency between their and our results on the particle pathways for the river Neva. In their case, the particles travel as far as the Arkona Basin which agrees with the present results in term of the travelled distance (Table 6.2 and Figure S3.d) [61]. There is also a good agreement if we compare their results for the river Neva with our results for the river Narva.…”

Section: Transport Mechanismsupporting

confidence: 91%

Tracer Transport and Exchange Processes in the Baltic Sea 2000-2009

Dargahi¹,

Cvetkovic²

2017

J Oceanogr Mar Res

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Section: Transport Mechanismsupporting

confidence: 91%

Tracer Transport and Exchange Processes in the Baltic Sea 2000-2009

Dargahi¹,

Cvetkovic²

2017

J Oceanogr Mar Res

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“…Korotenko et al [12] simulated the dispersal of oil resulting from its continuous release. They developed a three dimensional flow/ transport model [13,14], which consists of a numerical ocean circulation model (Princeton Ocean Model) and Lagrangian tracking model of oil particles. This model is focused on predicting the dispersal of oil due to winddriven current.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of water circulation and thermohaline structures in the Caspian Sea

Kitazawa

Yang

2012

J Mar Sci Technol

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The Caspian Sea has a unique ecosystem that consists of endemic species. The deterioration of the unique ecosystem has become increasingly worrisome since a wide variety of pollutants have been released into the water. Water circulation plays a key role in advection and diffusion of these pollutants. In the present study, water circulation and thermohaline structures in the Caspian Sea were analyzed by means of a three dimensional numerical simulation. The effects of meteorological changes, river inflow, and an icing event were taken into account as boundary conditions. Numerical simulation was carried out for 20 years to achieve stable seasonal variations in model variables. As a result, the horizontal distributions of water temperature and salinity could be reproduced; the gradient of water temperature in the northsouth direction, the decrease in water temperature along the east coast of the middle Caspian Sea due to coastal upwelling, and low salinity in the northern Caspian Sea. The icing event kept the water temperature in the northern Caspian Sea from decreasing to an unrealistic value. The observed cyclonic gyres were basically formed by the density-driven current due to thermohaline structure.

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“…Typically, the oil spill was modeled by groups of major components (e.g. [7]), and each group of droplet consists of a monocomponent droplet. In this study each droplet is composed of multi components.…”

Section: Introductionmentioning

confidence: 99%

Modelling of evaporation and dissolution of multicomponent oil droplet in shallow water

Abianeh¹,

Chen²

2012

Advanced Computational Methods and Experiments in Heat Transfer XII

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A multicomponent evaporation and dissolution model was applied to study the dynamics of the mass transfer of dispersed oil in shallow waters. This model, in Lagrangian form, was coupled with the Princeton Ocean Circulation model (POM) for simulating oil droplet dispersion in an oceanic environment. The oil dispersion was modeled for a standard sea-mount shallow water environment. The most abundant petroleum hydrocarbons in the hydrocarbon-enriched of oil plum larger than C 1 -C 5 were benzene, toluene, ethylbenzene, and total xylenes. Therefore, the oil surrogate, which consists of these components, is studied. The liquid-liquid equilibrium and vapor-liquid equilibrium equations are solved for evaluating the droplet life time. A rapid mixing model is used by reason of the shorter internal mass diffusion time scale in comparison to the droplet life time. Four different droplet sizes, 1.5, 1, 0.5, and 0.1mm, are considered in this study. The droplet with a diameter of 1mm has a shorter life time in this specific environment.

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Particle tracking method in the approach for prediction of oil slick transport in the sea: modelling oil pollution resulting from river input

Cited by 63 publications

References 9 publications

Tracer Transport and Exchange Processes in the Baltic Sea 2000-2009

Tracer Transport and Exchange Processes in the Baltic Sea 2000-2009

Numerical analysis of water circulation and thermohaline structures in the Caspian Sea

Modelling of evaporation and dissolution of multicomponent oil droplet in shallow water

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