Model-based reconstruction of the Ulysse-Virginia oil spill, October–November 2018

Liubartseva, Svitlana; Smaoui, Malek; Coppini, Giovanni; Gonzalez, G.; Lecci, Rita; Cretì, Sergio; Federico, Iván

doi:10.1016/j.marpolbul.2020.111002

Cited by 15 publications

(15 citation statements)

References 25 publications

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“…Moreover, the model has been validated with in situ data, surface drifters data, and with satellite data [90,176]. Interesting applications of the model are included in [176,177,179,[253][254][255][256][257]. MEDSLIK-II is used operationally in the Mediterranean region, allowing also support to REMPEC [258] for oil spill emergencies in the entire Mediterranean basin.…”

Section: The New Generation Of Oil Spill Modelsmentioning

confidence: 99%

Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges

Keramea

Spanoudaki

Zodiatis

et al. 2021

JMSE

147

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Several oil spill simulation models exist in the literature, which are used worldwide to simulate the evolution of an oil slick created from marine traffic, petroleum production, or other sources. These models may range from simple parametric calculations to advanced, new-generation, operational, three-dimensional numerical models, coupled to meteorological, hydrodynamic, and wave models, forecasting in high-resolution and with high precision the transport and fate of oil. This study presents a review of the transport and oil weathering processes and their parameterization and critically examines eighteen state-of-the-art oil spill models in terms of their capacity (a) to simulate these processes, (b) to consider oil released from surface or submerged sources, (c) to assimilate real-time field data for model initiation and forcing, and (d) to assess uncertainty in the produced predictions. Based on our review, the most common oil weathering processes involved are spreading, advection, diffusion, evaporation, emulsification, and dispersion. The majority of existing oil spill models do not consider significant physical processes, such as oil dissolution, photo-oxidation, biodegradation, and vertical mixing. Moreover, timely response to oil spills is lacking in the new generation of oil spill models. Further improvements in oil spill modeling should emphasize more comprehensive parametrization of oil dissolution, biodegradation, entrainment, and prediction of oil particles size distribution following wave action and well blow outs.

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Section: The New Generation Of Oil Spill Modelsmentioning

confidence: 99%

Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges

Keramea

Spanoudaki

Zodiatis

et al. 2021

JMSE

147

View full text Add to dashboard Cite

show abstract

“…In 24-hour interval, during the oil spill image acquisition, over the Corsica Islands, the mean backscatter values showed a reduction of 5,76dB, a relative discrepancy of 23%. As the oil spilled type near the Corsica Islands (Bunker-C) has lower levels of volatile elements (about 14%), than other oils analyzed, the oil evaporated quickly [16]. In this case, the weathering emulsification process changed the oil spill composition, due to the local wind speed, about 5,2m/s.…”

Section: Observationmentioning

confidence: 93%

Geochemical Analysis of Radar Backscatter (Sentinel-1) Over the Corsica Island Oil Spill

Mendonça LF

2022

PPS

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Offshore oil spills represent a major polluting potential in the marine environment [1,2]. Oil spill surveillance is a major part of contingency planning (Jha et al., 2008) and remote sensing techniques enable mapping these events in outlying areas. With essential information such as backscatter and polarimetry data that further the oil spill detection (Shinga et al., 2013). Therefore, the use of Synthetic Aperture Radar (SAR) data for mapping ocean oil spills has been widely applied, as well as the identification of oil on the ocean surface is independent of weather conditions and solar incidence [3]. As mineral oil has hydrophobic constituents, can persist on the ocean surface in the form of multiple layers [4].

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“…Oil spill models are tools that are used to predict oil behaviour and fate in the marine environment and also aid in responding to and mitigating real-time oil spill accidents [ 23 ]. They are used to simulate the evolution of oil slicks when oil is released into the marine environment [ 24 , 25 ].…”

Section: Oil Behaviour In the Environmentmentioning

confidence: 99%

“…Oil spills are events that race against time whenever they occur, hence modeling tools are used for contingency planning which supports spill responders in rapid decision making [ 26 ]. By running a series of likely to occur hypothetical spill scenarios, decision makers are most likely to be informed about suitable counter measures, strategic locations and logistics preparations required [ 23 , 26 ]. This gives room for more efficient use of emergency response resources and proper spill response management.…”

Section: Oil Behaviour In the Environmentmentioning

confidence: 99%

Dispersants as an oil spill clean-up technique in the marine environment: A review

Adofo

Nyankson

Agyei‐Tuffour

2022

Heliyon

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Model-based reconstruction of the Ulysse-Virginia oil spill, October–November 2018

Cited by 15 publications

References 25 publications

Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges

Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges

Geochemical Analysis of Radar Backscatter (Sentinel-1) Over the Corsica Island Oil Spill

Dispersants as an oil spill clean-up technique in the marine environment: A review

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