Overview of the Oil Spill Risk Analysis (OSRA) Model for Environmental Impact Assessment

Price, James; Johnson, W. R.; Marshall, C. F.; Ji, Zhen‐Gang; Rainey, Gail

doi:10.1016/s1353-2561(03)00003-3

Cited by 62 publications

(32 citation statements)

References 3 publications

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“…The Risk of Vessel Accidents and Spills in the Aleutian Islands (Transportation Research Board, 2008), B, is the compilation of guidelines and insights for a future risk assessment in the archipelago. Two studies, Olita et al (2012), hereafter C, and BOEM (2012) (in association with Price et al (2003Price et al ( , 2004), D, were included because of their innovative methods to compute the oil spill hazard. Transport Canada (2007), E, provides an innovative approach for a quantitative estimation of risk.…”

Section: Reviewing the Present Osra Literaturementioning

confidence: 99%

Towards a common oil spill risk assessment framework – Adapting ISO 31000 and addressing uncertainties

Neves

Pinardi

Martins

et al. 2015

Journal of Environmental Management

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Section: Reviewing the Present Osra Literaturementioning

confidence: 99%

Towards a common oil spill risk assessment framework – Adapting ISO 31000 and addressing uncertainties

Neves

Pinardi

Martins

et al. 2015

Journal of Environmental Management

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“…Hence, 80% was empirically used. The value of 3% is a typical percentage (Chao et al, 2001;Price et al, 2003) which accounts for wind-driven current (wind drift) and wave-driven current (Stokes drift) (Wu, 1983;Galt, 1994). Bilinear interpolation was applied at each timestep to determine the currents and winds at each parcel position.…”

Section: Class 2: Satellite Altimetry (Gomex-ppp; May 2010 To Decembementioning

confidence: 99%

Initial evaluations of a Gulf of Mexico/Caribbean ocean forecast system in the context of the Deepwater Horizon disaster

et al. 2015

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In response to the Deepwater Horizon (DwH) oil spill event in 2010, the Naval Oceanographic Office deployed a nowcast-forecast system covering the Gulf of Mexico and adjacent Caribbean Sea that was designated Americas Seas, or AMSEAS, which is documented in this manuscript. The DwH disaster provided a challenge to the application of available ocean-forecast capabilities, and also generated a historically large observational dataset. AMSEAS was evaluated by four complementary efforts, each with somewhat different aims and approaches: a university research consortium within an Integrated Ocean Observing System (IOOS) testbed; a petroleum industry consortium, the Gulf of Mexico 3-D Operational Ocean Forecast System Pilot Prediction Project (GOMEX-PPP); a British Petroleum (BP) funded project at the Northern Gulf Institute in response to the oil spill; and the Navy itself. Validation metrics are presented in these different projects for water temperature and salinity profiles, sea surface wind, sea surface temperature, sea surface height, and volume transport, for different forecast time scales. The validation found certain geographic and time biases/errors, and small but systematic improvements relative to earlier regional and global modeling efforts. On the basis of these positive AMSEAS validation studies, an oil spill transport simulation was conducted using archived AMSEAS nowcasts to examine transport into the estuaries east of the Mississippi River. This effort captured the influences of Hurricane Alex and a non-tropical cyclone off the Louisiana coast, both of which pushed oil into the western Mississippi Sound, illustrating the importance of the atmospheric influence on oil spills such as DwH.

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“…Since 1959 that adsorbents were first invented by [3,4], removal of oil from wastewater has been intensively investigated using resins and activated carbon [5]. This is because the removal of oil by this method has some advantages over other separation methods [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Oil Removing from Emulsions Using Commercial Resins

Rocha¹,

Ribeiro²,

Merlo³

et al. 2016

JCCE

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Removal of vegetal oil from wastewater using comercial resins in batch reactors processes is studied in present study. A traditional and patented type of three different surfactants was used for stabilizing of the emulsion phase. The results for the emulsion made by the synthesized surfactant showed much better stability and performance in the separation process compared to that by conventionally used Span 80. To determine the optimum operation conditions, the effect of several parameters such as initial oil concentration, amount of resin in the solid phase, adding or not a surfactant, resin type, and stabilizer concentration have been investigated. It was found that under the optimum conditions, more than 98% of oil can be removed in a single batch process.

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Overview of the Oil Spill Risk Analysis (OSRA) Model for Environmental Impact Assessment

Cited by 62 publications

References 3 publications

Towards a common oil spill risk assessment framework – Adapting ISO 31000 and addressing uncertainties

Towards a common oil spill risk assessment framework – Adapting ISO 31000 and addressing uncertainties

Initial evaluations of a Gulf of Mexico/Caribbean ocean forecast system in the context of the Deepwater Horizon disaster

Oil Removing from Emulsions Using Commercial Resins

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