Surface trajectories of oil transport along the Northern Coastline of the Gulf of Mexico

Dietrich, J. C.; Trahan, Corey J.; Howard, M. T.; Fleming, Jason G.; Weaver, Robert J.; Tanaka, Seizo; Li, Yu; Luettich, Rick; Dawson, Clint; Westerink, Joannes J.; Wells, Gordon; Lu, Aidong; Vega, Karla; Kubach, Adam; Dresback, Kendra M.; Kolar, Randall L.; Kaiser, Carola; Twilley, Robert R.

doi:10.1016/j.csr.2012.03.015

Cited by 75 publications

(48 citation statements)

References 51 publications

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“…Satellite imagery and nearshore trajectories showed oil in proximity to Pensacola Bay and potential impacts on Santa Rosa Island from 17 June to 3 July 2010 [5,8]. The heaviest oiling of Santa Rosa Island occurred on June 23, with all 60 km of the barrier island's southern shoreline impacted with visible free product and particulate oil.…”

Section: Introductionmentioning

confidence: 99%

Oil Characterization and Distribution in Florida Estuary Sediments Following the Deepwater Horizon Spill

Barron

Awkerman

Raimondo

2015

JMSE

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Barrier islands of Northwest Florida were heavily oiled during the Deepwater Horizon spill, but less is known about the impacts to the shorelines of the associated estuaries. Shoreline sediment oiling was investigated at 18 sites within the Pensacola Bay, Florida system prior to impact, during peak oiling, and post-wellhead capping. Only two locations closest to the Gulf of Mexico had elevated levels of total petroleum hydrocarbons (TPH) and total polycyclic aromatic hydrocarbons (PAHs). These samples showed a clear weathered crude oil signature, pattern of depletion of C9 to C19 alkanes and C0 to C4 naphthalenes, and geochemical biomarker ratios in concordance with weathered Macondo crude oil. All other locations and sample times showed only trace petroleum contamination. The results of this study are consistent with available satellite imagery and visual shoreline survey data showing heavy shoreline oiling limited to sandy beaches near the entrance to Pensacola Bay and shorelines of Santa Rosa Island.

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Section: Introductionmentioning

confidence: 99%

Oil Characterization and Distribution in Florida Estuary Sediments Following the Deepwater Horizon Spill

Barron

Awkerman

Raimondo

2015

JMSE

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“…Coupled with the booming development of maritime transportation, ship grounding accidents, collisions, and capsized tankers have also contributed to the frequent occurrence of oil spill pollution. These accidents can result in severe damage to the marine environment [4][5][6]. Therefore, in recent years, governments worldwide have strengthened the overall management of the water transportation of oil and have fostered scientific research on the movement properties of oil in water [1][2][3]7].…”

Section: Introductionmentioning

confidence: 99%

“…Gjosteen [20] developed an oil-spreading model based on the conservation of volume and momentum, which is suitable for coupling with the discrete-element ice model and other complex boundaries for oil spreading. Dietrich et al [6] applied a coupled SWAN + ADCIRC model on a high-resolution computational mesh and the highly efficient Lagrangian particle transport model to simulate the surface trajectories of the oil spill from the Macondo well, northern Gulf of Mexico, during the spring of 2010. Wang and Shen [21,22] developed a three-dimensional integrated model that provides great flexibility for modeling oil spill accidents in complex geometries such as tidal creeks, barriers, and islands.…”

Section: Introductionmentioning

confidence: 99%

“…Wang and Shen [21,22] developed a three-dimensional integrated model that provides great flexibility for modeling oil spill accidents in complex geometries such as tidal creeks, barriers, and islands. Currently, an unstructured grid is primarily used to simulate the solid boundary for the study of oil spills in complex terrains [6,[21][22][23][24][25][26][27][28]. Alves et al [1] proposed a three-step model to predict and assess shoreline and offshore susceptibility to oil spills for confined basins with islands, which comprises the leading edge in the study of oil spills in complex terrains.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Modeling of Marine Oil Spills in the Luanjiakou District, near the Port of Yantai

Tang

et al. 2018

Discrete Dynamics in Nature and Society

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This paper presents a simulation method for oil spills in a multi-island area. The simulation considers three parts, which consist of (1) the spreading of an oil slick on its edge as well as the diffusion and drift under dynamic actions, (2) the evaporation and spreading thickness of an oil slick in its interior, and (3) the adsorption and emulsification near shorelines and islands. The Euler-Lagrange method is adopted to track the spill location and particles positions on the edge of oil slicks. A mathematical model of marine oil spills is established for the Luanjiakou District of the Port of Yantai. The flow field verification shows that the BIAS of tidal level, flow velocity, and flow direction is below ±10 cm, 0.11 m/s, and ±2 ∘ , respectively, and the oil spill verification captures satisfactory results. Hence, the proposed model could reproduce the oil spill process in this region. Then, we simulate oil spills under various operating conditions. It is concluded that the transport of oil slicks is mainly influenced by flood/ebb currents, whereas the wind plays a major role in the drift and thickness of oil slicks. The study provides an important reference to controlling and handling of accidental oil spills.

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“…The value of regional models (with improved resolution and topography) was demonstrated , and an ensemble forecast system was developed with a focus on regional and global scales (Liu et al 2011a, b). An example of a quasi-operational forecasting system composed by a finite-element model and a particle-tracking model was also implemented to provide high-resolution current velocity field and surface trajectories of the oil on the continental shelf and nearshore (Dietrich et al 2012). However, the majority of the above oil spill rapid response systems have been based on regional or even basin-scale models.…”

Section: Introductionmentioning

confidence: 99%

A relocatable ocean model in support of environmental emergencies

et al. 2014

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During the Costa Concordia emergency case, regional, subregional, and relocatable ocean models have been used together with the oil spill model, MEDSLIK-II, to provide ocean currents forecasts, possible oil spill scenarios, and drifters trajectories simulations. The models results together with the evaluation of their performances are presented in this paper. In particular, we focused this work on the implementation of the Interactive RElo- Concordia emergency and on its validation using drifters released in the area of the accident. It is shown that thanks to the capability of improving easily and quickly its configuration, the IRENOM results are of greater accuracy than the results achieved using regional or subregional model products. The model topography, the initialization procedures, and the horizontal resolution are the key model settings to be configured. Furthermore, the IRENOM currents and the MEDSLIK-II simulated trajectories showed to be sensitive to the spatial resolution of the meteorological fields used, providing higher prediction skills with higher resolution wind forcing.

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Surface trajectories of oil transport along the Northern Coastline of the Gulf of Mexico

Cited by 75 publications

References 51 publications

Oil Characterization and Distribution in Florida Estuary Sediments Following the Deepwater Horizon Spill

Oil Characterization and Distribution in Florida Estuary Sediments Following the Deepwater Horizon Spill

Mathematical Modeling of Marine Oil Spills in the Luanjiakou District, near the Port of Yantai

A relocatable ocean model in support of environmental emergencies

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