An oilspill trajectory analysis model with a variable wind deflection angle

Samuels, William B.; Huang, Norden E.; Amstutz, David E.

doi:10.1016/0029-8018(82)90028-2

Cited by 75 publications

(19 citation statements)

References 12 publications

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“…Results showed that the shear in the surface layer increased, with an associated decrease in angle between the surface current and the wind, as the surface viscosity was reduced. These results appeared appropriate in conditions of light winds or when oil covered the surface [ Samuels et al , 1982] and surface turbulence was small. In storm conditions when turbulence was high, measurements [ Gordon , 1982] suggested a slab‐like behavior, which was found in a point model when surface eddy viscosity was parameterized in terms of a wind wave‐dependent eddy viscosity [ Davies , 1985a, 1985b].…”

Section: Introductionmentioning

confidence: 99%

Influence of coastal effects, bottom topography, stratification, wind period, and mixing upon the propagation of internal waves and the profile of wind‐induced currents

Xing

Davies

2003

J. Geophys. Res.

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[1] A three-dimensional model in cross-sectional form is used to examine the influence of wind period, stratification and bottom topography upon internal wave generation and wind-induced current profiles in the coastal ocean. Calculations with fixed vertical diffusion coefficients and with a turbulence energy model are performed. These show that besides the wind period influencing the depth of penetration of the wind's momentum, as in a point model, it determines the offshore extent of internal waves generated at the coast. These waves together with elevation gradients modify the directly wind-driven current profile found in a point model. For forcing at the subinertial frequency the internal wave field is trapped in the coastal region. Offshore the current can be derived from a point model incorporating wind forcing and an elevation gradient related to it. For wind forcing at the superinertial frequency the offshore extent of internal wave propagation increases with frequency. The local topography influences the offshore propagation of internal waves, leading at superinertial frequencies to regions of enhanced surface current magnitude in a similar manner to that found with internal tides. Calculations with the turbulence energy model show increased surface diffusion in these regions, which allows wind energy at both superinertial and subinertial frequencies to penetrate to depth in offshore areas. This process does not involve subinertial internal wave propagation. Conclusions are drawn as to the conditions under which a single point model can reproduce wind induced current profiles at an offshore location.INDEX TERMS: 4219 Oceanography: General: Continental shelf processes; 4512 Oceanography: Physical: Currents; 4544 Oceanography: Physical: Internal and inertial waves; KEYWORDS: internal waves, bottom topography, coastal processes, wind period, mixing, turbulence energy Citation: Xing, J., and A. M. Davies, Influence of coastal effects, bottom topography, stratification, wind period, and mixing upon the propagation of internal waves and the profile of wind-induced currents,

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Section: Introductionmentioning

confidence: 99%

Influence of coastal effects, bottom topography, stratification, wind period, and mixing upon the propagation of internal waves and the profile of wind‐induced currents

Xing

Davies

2003

J. Geophys. Res.

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“…The path that a hypothetical oil spill moves under the forces of surface currents and winds is the modeled trajectory. The hypothetical oil spill trajectories are constructed using vector addition of a temporally and spatially varying ocean current field and an empirical wind-induced drift of the hypothetical oil spills [48]. The wind-drift factor was estimated to be 0.035, with a variable drift angle ranging from 0 • to 25 • clockwise that is inversely related to wind speed.…”

Section: Trajectory Simulationsmentioning

confidence: 99%

“…The wind-drift factor was estimated to be 0.035, with a variable drift angle ranging from 0 • to 25 • clockwise that is inversely related to wind speed. The drift angle is computed as a function of wind speed according to the formula in Samuels et al (1982) [48]. Collectively, the trajectories represent a statistical ensemble of simulated oil spill displacements produced by the fields of winds and ocean currents from numerical models with observations assimilated.…”

Section: Trajectory Simulationsmentioning

confidence: 99%

An Improved Method to Estimate the Probability of Oil Spill Contact to Environmental Resources in the Gulf of Mexico

Zhen¹,

Johnson²

2019

JMSE

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The oil spill risk analysis (OSRA) model is a tool used by the Bureau of Ocean Energy Management (BOEM) to evaluate oil spill risks to biological, physical, and socioeconomic resources that could be exposed to oil spill contact from oil and gas leasing, exploration, or development on the U.S. Outer Continental Shelf (OCS). Using long-term hindcast winds and ocean currents, the OSRA model generates hundreds of thousands of trajectories from hypothetical oil spill locations and derives the probability of contact to these environmental resources in the U.S. OCS. This study generates probability of oil spill contact maps by initiating trajectories from hypothetical oil spill points over the entire planning areas in the U.S. Gulf of Mexico (GOM) OCS and tabulating the contacts over the entire waters in the GOM. Therefore, a probability of oil spill contact database that stores information of the spill points and contacts can be created for a given set of wind and current data such that the probability of oil spill contact to any environmental resources from future leasing areas can be estimated without a rerun of the OSRA model. The method can be applied to other OCS regions and help improve BOEM’s decision-making process.

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“…The wind drift factor was estimated to be 0.035 of the wind speed, with a variable drift angle ranging from 0° to 25° clockwise. The drift angle was computed as a function of wind speed according to the formula in Samuels et al (1982). (The drift angle is inversely related to wind speed.)…”

Section: Estimates Of Where An Offshore Oil Spill May Gomentioning

confidence: 99%