Weathering of Oil Spill: Modeling and Analysis

Mishra, Aditya Kumar; Kumar, G. Suresh

doi:10.1016/j.aqpro.2015.02.058

Cited by 93 publications

(50 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The preparation of oil samples for the experiments to support the development of the Oil Spill Contingency and Response Model (OSCAR) was done in such a way as to avoid the effect of other processes, so the processes under investigation could be studied individually (Daling et al, 1997;Fingas, 2015). Sebastiāo and Soares (1995) and Mishra and Kumar (2015) have adopted an MPMA for modeling spilled oil in open water. Part of this concept will be used in the methodology of this paper.…”

Section: Singular Process Modeling Approach-spmamentioning

confidence: 99%

“…This approach considers the effect of linkages and dependencies between weathering After Afenyo et al (2015) and Drozdowski et al (2011). and transport processes. The algorithms adopted for the current work are based on studies conducted by Sebastiāo and Soares (1995); Mishra and Kumar (2015); Janeiro et al (2008) and Yang et al (2015).…”

Section: Singular Process Modeling Approach-spmamentioning

confidence: 99%

See 1 more Smart Citation

Modeling oil weathering and transport in sea ice

Afenyo

Khan

Veitch

et al. 2016

Marine Pollution Bulletin

View full text Add to dashboard Cite

Section: Singular Process Modeling Approach-spmamentioning

confidence: 99%

Section: Singular Process Modeling Approach-spmamentioning

confidence: 99%

Modeling oil weathering and transport in sea ice

Afenyo

Khan

Veitch

et al. 2016

Marine Pollution Bulletin

View full text Add to dashboard Cite

“…Spreading, evaporation, dispersion/diffusion, emulsification, and dissolution are the most crucial OWPs, acting at the early stages of the oil spill, while photo-oxidation, biodegradation, and sedimentation act in the longer term and determine the ultimate fate of the oil spilled. Oil density and viscosity are the parameters mostly altered by the OWPs after spillage [7].…”

Section: Introductionmentioning

confidence: 99%

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

Keramea

Spanoudaki

Zodiatis

et al. 2021

JMSE

161

View full text Add to dashboard Cite

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.

show abstract

“…It may be caused by the major changes in oil sheen pattern and coverage during T 0 +6 h to +12 h due to the transitions in ocean currents and winds. Weather and ocean currents can change how oil spill spreads, and oil spill in seawater spreads differently in changing environment [38]. That said, the oil transport, fate, and behavior in the ocean are inevitably influenced by the variability of atmospheric and oceanic environment along with the time-dependent oil discharge dynamics.…”

Section: Time-dependent Oil Discharge Dynamics For Oil Spill Modelmentioning

confidence: 99%

Non-linear source term and scenario for an operational oil spill model

et al. 2020

View full text Add to dashboard Cite

This study presents time-varying oil spill discharge functions and scenarios for operational oil spill models. This study prescribes non-linear models based on experimental measurements (Tavakoli et al. in Ocean Eng 38(17–18):1894–1907, 2011) and then upscaled to the spill duration and discharge quantity for actual oil spill incidents. Scenarios consist in collision and grounding incidents for the instantaneous spill mode; light, medium, and severe incidents for the continuous spill mode; spilt, containment, and retention practices for the spill management mode. A performance analysis of deterministic simulations indicates that the non-linear source terms and scenarios present realistic and reasonable results, showing the detailed spill patterns on the surface ocean, tail-off oil sheens along the areas swept by the dispersion and significantly different results when oil spill management and mitigation practices are activated. For oil spill modelling in support of field operations, responders and decision makers should be made aware of the variability of oil sheen spatial patterns induced by the oil spill source term to better interpret simulation results and assess the impact of source uncertainty on the clean-up, mitigation, ecological and socio-economic risk.

show abstract

Weathering of Oil Spill: Modeling and Analysis

Cited by 93 publications

References 12 publications

Modeling oil weathering and transport in sea ice

Modeling oil weathering and transport in sea ice

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

Non-linear source term and scenario for an operational oil spill model

Contact Info

Product

Resources

About