Oil Spill Modeling: A Critical Review on Current Trends, Perspectives, and Challenges
Моделирование разливов нефти: критический обзор современных тенденций, перспектив и задач
2021-02-10
SCID: 54.1/qpentqm7
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data assimilation for oil spill modelsoil spill simulation modelsoil weathering processesthree-dimensional numerical modelsuncertainty assessment in predictions
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Abstract (AI)
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.
Key Findings
1
A review of eighteen state-of-the-art oil spill models assessed their ability to simulate transport and weathering, handle surface or submerged releases, assimilate real-time data, and quantify prediction uncertainty.
2
Majority of existing models omit significant processes: oil dissolution, photo-oxidation, biodegradation, and vertical mixing.
3
Most common oil weathering processes implemented are spreading, advection, diffusion, evaporation, emulsification, and dispersion.
4
New-generation oil spill models lack timely response capabilities for operational spill events.
5
Oil spill models in literature range from simple parametric calculations to advanced 3D numerical operational models coupled with meteorological, hydrodynamic, and wave models.
6
Recommended improvements include comprehensive parameterization of oil dissolution, biodegradation, entrainment, and prediction of oil particle size distribution after wave action and well blowouts.
Research Object
Oil spill simulation models (state-of-the-art oil spill models used to simulate evolution of an oil slick)
Research Subject
Capability of these models to simulate transport and weathering processes (spreading, advection, diffusion, evaporation, emulsification, dispersion, and missing processes like dissolution, photo-oxidation, biodegradation, vertical mixing), handle surface and submerged sources, assimilate real-time field data, and assess prediction uncertainty; and gaps for timely response and parametrization improvements
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2021-02-10
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