scholarly journals An application of a vulnerability index to oil spill modeling in the Gulf of Mexico

1982 ◽  
Author(s):  
R.P. LaBelle ◽  
Gail Rainey ◽  
K.J. Lanfear
Keyword(s):  
Gulf Of Mexico ◽  
Oil Spill ◽  
Vulnerability Index ◽  
Oil Spill Modeling

scholarly journals Progress in Operational Modeling in Support of Oil Spill Response

2020 ◽  
Vol 8 (9) ◽  
pp. 668
Author(s):  
Christopher H. Barker ◽  
Vassiliki H. Kourafalou ◽  
CJ Beegle-Krause ◽  
Michel Boufadel ◽  
Mark A. Bourassa ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Oil Spill ◽  
Ocean Circulation ◽  
Research Initiative ◽  
Modeling And Forecasting ◽  
Oil Spill Modeling ◽  
Oil Spill Response ◽  
New Methodologies ◽  
Application Protocols ◽  
Operational Aspects

Following the 2010 Deepwater Horizon accident of a massive blow-out in the Gulf of Mexico, scientists from government, industry, and academia collaborated to advance oil spill modeling and share best practices in model algorithms, parameterizations, and application protocols. This synergy was greatly enhanced by research funded under the Gulf of Mexico Research Initiative (GoMRI), a 10-year enterprise that allowed unprecedented collection of observations and data products, novel experiments, and international collaborations that focused on the Gulf of Mexico, but resulted in the generation of scientific findings and tools of broader value. Operational oil spill modeling greatly benefited from research during the GoMRI decade. This paper provides a comprehensive synthesis of the related scientific advances, remaining challenges, and future outlook. Two main modeling components are discussed: Ocean circulation and oil spill models, to provide details on all attributes that contribute to the success and limitations of the integrated oil spill forecasts. These forecasts are discussed in tandem with uncertainty factors and methods to mitigate them. The paper focuses on operational aspects of oil spill modeling and forecasting, including examples of international operational center practices, observational needs, communication protocols, and promising new methodologies.

scholarly journals Impact of the Deepwater Horizon oil spill on a deep-water coral community in the Gulf of Mexico

2012 ◽  
Vol 109 (50) ◽  
pp. 20303-20308 ◽  
Author(s):  
H. K. White ◽  
P.-Y. Hsing ◽  
W. Cho ◽  
T. M. Shank ◽  
E. E. Cordes ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Oil Spill ◽  
Deep Water ◽  
Deepwater Horizon ◽  
Coral Community ◽  
Deepwater Horizon Oil Spill ◽  
Water Coral

scholarly journals Erratum: Corrigendum: Quantifying overlap between the Deepwater Horizon oil spill and predicted bluefin tuna spawning habitat in the Gulf of Mexico

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Elliott L. Hazen ◽  
Aaron B. Carlisle ◽  
Steven G. Wilson ◽  
James E. Ganong ◽  
Michael R. Castleton ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Oil Spill ◽  
Bluefin Tuna ◽  
Deepwater Horizon ◽  
Spawning Habitat ◽  
Deepwater Horizon Oil Spill

Oil spill modeling: computational tools, analytical frameworks, and emerging technologies

2018 ◽  
Vol 43 (1) ◽  
pp. 129-143 ◽  
Author(s):  
Jake R. Nelson ◽  
Tony H. Grubesic
Keyword(s):  
Oil Spill ◽  
Emerging Technologies ◽  
Computational Tools ◽  
Gis And Remote Sensing ◽  
Response Strategies ◽  
Wide Range ◽  
Oil Spill Modeling ◽  
In Situ Sensing ◽  
Analytical Frameworks

Following the Deepwater Horizon oil spill of 2010, a substantial body of research has focused on the development of computational tools and analytical frameworks for modeling oil spill events. Much of this work is dedicated to deepening our understanding of the interactions between oil, fragile ecosystems, and the environment, as well as the impacts of oil on human settlements which are vulnerable to spill events. These advances in oil spill modeling and associated analytics have not only increased the efficiency of spill interdiction and mitigation efforts, they have also helped to nurture proactive, versus reactive, response strategies and plans for local and regional stakeholders. The purpose of this paper is to provide a progress report on the wide range of computational tools, analytical frameworks, and emerging technologies which are necessary inputs for a complete oil spill modeling package. Specifically, we explore the use of relatively mature tools, such as dedicated spill modeling packages, geographic information systems (GIS), and remote sensing, as well emerging technologies such as aerial and aquatic drones and other in-situ sensing technologies. The integration of these technologies and the advantages associated with using a geographic lens for oil spill modeling are discussed.

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