Numerical simulations of potential oil spills near Fernando de Noronha archipelago

Siqueira, Paulo Gabriel; Silva, J.A.M.; Gois, M.L.B.; Duarte, H.O.; Moura, M.C.; Silva, M.A.; Araújo, M.C.

doi:10.1201/9781003320289-29

Cited by 3 publications

(7 citation statements)

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“…MEDSLIK-II is also coupled in terms of input format with the forecasted atmospheric fields provided by the European Center for Medium-Range Weather Forecasts (ECMWF) and the oceanographic fields provided by CMEMS (currents, temperature, salinity, and density), while MEDSLIK is coupled in addition to the CMEMS with the downscaled CYCOFOS sea currents and the SKIRON winds. MEDSLIK-II has been implemented in many case studies in recent years, such as the Northern Atlantic [48], the Northwestern Mediterranean Sea [49], the Aegean Sea [50], the offshore of Southern Italy [51], and the Brazilian coast [52]. In addition, MEDSLIK has been implemented in real oil spill incidents in the Eastern Mediterranean Levantine basin [53] and in numerous test cases in the Levantine basin [54][55][56][57], in the Black Sea [58], and in the Red Sea [59].…”

Section: The Oil Spill Modelsmentioning

confidence: 99%

“…In parallel, in the case of simulating retrospective oil spills, the ERA-Interim dataset could be used [93]; this is a global reanalysis data product covering the data-rich period since 1979. Originally, ERA-Interim was run from 1989 but the 10-year extension for 1979-1988 was produced in 2011, providing data every 6 h with a 1/8 • spatial resolution [52,94,95]. ERA-Interim has been applied in oil-spill simulations in several test cases all over the world [41][42][43][44]48,49,51,52].…”

Section: Wind Fieldsmentioning

confidence: 99%

“…Originally, ERA-Interim was run from 1989 but the 10-year extension for 1979-1988 was produced in 2011, providing data every 6 h with a 1/8 • spatial resolution [52,94,95]. ERA-Interim has been applied in oil-spill simulations in several test cases all over the world [41][42][43][44]48,49,51,52]. Moreover, Kampouris et al [50] has used the ECMWF ensemble prediction system at ∼9 km and ~18 km horizontal resolution for wind forcing.…”

Section: Wind Fieldsmentioning

confidence: 99%

“…The global ocean output files have a horizontal resolution of 1/12 • (~9 km) and a regular longitude/latitude equirectangular projection. This dataset has been widely applied in oil-spill simulations, like in the studies of Devis Morales et al [46], Sepp Neves et al [48], and Siqueira et al [52]. Moreover, CMEMS provides the dataset Mediterranean Sea Physics Analysis and Forecast (MEDSEA_ANALYSISFORECAST_PHY_006_013) [119] which is being produced from a coupled hydrodynamic-wave model, implemented over the entire Mediterranean Basin.…”

Section: Hydrodynamicsmentioning

confidence: 99%

See 3 more Smart Citations

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Keramea

Kokkos

Zodiatis

et al. 2023

JMSE

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Oil spills may have devastating effects on marine ecosystems, public health, the economy, and coastal communities. As a consequence, scientific literature contains various up-to-date, advanced oil spill predictive models, capable of simulating the trajectory and evolution of an oil slick generated by the accidental release from ships, hydrocarbon production, or other activities. To predict in near real time oil spill transport and fate with increased reliability, these models are usually coupled operationally to synoptic meteorological, hydrodynamic, and wave models. The present study reviews the available different met-ocean forcings that have been used in oil-spill modeling, simulating hypothetical or real oil spill scenarios, worldwide. Seven state-of-the-art oil-spill models are critically examined in terms of the met-ocean data used as forcing inputs in the simulation of twenty-three case studies. The results illustrate that most oil spill models are coupled to different resolution, forecasting meteorological and hydrodynamic models, posing, however, limited consideration in the forecasted wave field (expressed as the significant wave height, the wave period, and the Stokes drift) that may affect oil transport, especially at the coastal areas. Moreover, the majority of oil spill models lack any linkage to the background biogeochemical conditions; hence, limited consideration is given to processes such as oil biodegradation, photo-oxidation, and sedimentation. Future advancements in oil-spill modeling should be directed towards the full operational coupling with high-resolution atmospheric, hydrodynamic, wave, and biogeochemical models, improving our understanding of the relative impact of each physical and oil weathering process.

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Section: The Oil Spill Modelsmentioning

confidence: 99%

Section: Wind Fieldsmentioning

confidence: 99%

Section: Wind Fieldsmentioning

confidence: 99%

Section: Hydrodynamicsmentioning

confidence: 99%

See 2 more Smart Citations

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Keramea

Kokkos

Zodiatis

et al. 2023

JMSE

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show abstract

“…Sepp Neves et al (2020) used CMEMS products for current fields to establish a coastal oil spill hazard map. Similarly, the sea surface temperature and current data derived from CMEMS products were obtained to simulate the potential oil spills from tanker accidents near the Fernando de Noronha Archipelago by the MEDSLIK-II model(Siqueira et al, 2022). The second hydrodynamic ocean current model, Global Ocean Forecasting System (GOFS) in the HYCOM model (https://www.…”

mentioning

confidence: 99%

Numerical Model Test of Spilled Oil Transport Near the Korean Coasts Using Various Input Parametric Models

Dang,

Joo,

Lim

et al. 2024

J. Ocean Eng. Technol.

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Oil spills pose significant threats to marine ecosystems, human health, socioeconomic aspects, and coastal communities. Accurate real-time predictions of oil slick transport along coastlines are paramount for quick preparedness and response efforts. This study used an open-source OpenOil numerical model to simulate the fate and trajectories of oil slicks released during the 2007 Hebei Spirit accident along the Korean coasts. Six combinations of input parameters, derived from a five-day met-ocean dataset incorporating various hydrodynamic, meteorological, and wave models, were investigated to determine the input variables that lead to the most reasonable results. The predictive performance of each combination was evaluated quantitatively by comparing the dimensions and matching rates between the simulated and observed oil slicks extracted from synthetic aperture radar (SAR) data on the ocean surface. The results show that the combination incorporating the Hybrid Coordinate Ocean Model (HYCOM) for hydrodynamic parameters exhibited more substantial agreement with the observed spill areas than Copernicus Marine Environment Monitoring Service (CMEMS), yielding up to 88% and 53% similarity, respectively, during a more than four-day oil transportation near Taean coasts. This study underscores the importance of integrating high-resolution met-ocean models into oil spill modeling efforts to enhance the predictive accuracy regarding oil spill dynamics and weathering processes.

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Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Keramea¹,

Kokkos²,

Zodiatis³

et al. 2023

Preprint

View full text Add to dashboard Cite

Oil spills may have devastating effects on marine ecosystems, public health, the economy, and coastal communities. Therefore, scientific literature contains various up-to-date, advanced oil spill predictive models, capable to simulate the trajectory and evolution of an oil slick generated by the accidental release from ships, hydrocarbons production, or other activities. To predict in near real time oil spill transport and fate with increased reliability these models are usually coupled operationally to synoptic meteorological, hydrodynamic, and wave models. The present study reviews the available different met-ocean forcings that have been used in oil spill modeling, simulating hypothetical or real oil spill scenarios, worldwide. Nine state-of-the-art oil spill models are critically examined in terms of the met-ocean data used as forcing inputs in the simulation of twenty-four case studies. Results illustrate that most oil spill models are coupled to different resolution, forecasting meteorological and hydrodynamic models, posing, however, limited consideration in the forecasted wave field (expressed as the significant wave height, the wave period and the Stokes drift) that may affect oil transport, especially at the coastal areas. Moreover, the majority of oil spill models lacks any linkage to the background biogeochemical conditions, hence, limited consideration is given in processes like oil biodegradation, photo-oxidation and sedimentation. Future advancements in oil spill modeling should be directed towards the full operational coupling with high-resolution atmospheric, hydrodynamic, wave, and biogeochemical models, improving our understanding in the relative impact of each physical and oil weathering process.

show abstract

Numerical simulations of potential oil spills near Fernando de Noronha archipelago

Cited by 3 publications

References 0 publications

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

Numerical Model Test of Spilled Oil Transport Near the Korean Coasts Using Various Input Parametric Models

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

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