A simple rapid approach using coupled multivariate statistical methods, GIS and trajectory models to delineate areas of common oil spill risk

Journal of Marine Systems

Volumn 45, Issue 3-4, 2004, Pages 221-235

  Guillen, George ^a   Rainey, Gail ^b   Morin, Michelle ^b  

^a U S FISH AND WILDLIFE SERVICE   (United States)

^b MINERALS MANAGEMENT SERVICE   (United States)

Author keywords

GIS; Model; Multivariate; Oil spill; Planning

Indexed keywords

DATA REDUCTION; MATHEMATICAL MODELS; MINERALOGY; MULTIVARIABLE CONTROL SYSTEMS; OIL SPILLS; RISK ASSESSMENT; STATISTICAL METHODS; VISUALIZATION;

MINERAL MANAGEMENTS SERVICE; MULTIVARIATE STATISTICAL METHODS; OIL SPILL TRAJECTORIES;

HYDROLOGY;

CONFERENCE PROCEEDING; GIS; MARINE POLLUTION; MODELING; OIL SPILL; POLLUTANT TRANSPORT;

EID: 1842590529     PISSN: 09247963     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmarsys.2003.11.006     Document Type: Conference Paper

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9. Smith R.A., Slack J.R., Wyant T., Lanfear K.J. The oil spill risk analysis model of the U.S. geological survey. U.S. Geological Survey Professional Paper. 1982;1227 George Guillen currently serves as the Fisheries and Contaminants Program Leader with the U.S. Fish and Wildlife Service in Arcata, California. Dr. Guillen previously served as the Toxicology and Risk Assessment Program Manager with Minerals Management Service (MMS). Prior to that Dr. Guillen worked for 14 years with the State of Texas in various environmental programs. Ms. Gail Rainey and Michelle Morin are oceanographers and environmental analysts, respectively with the MMS and have extensive experience in the field of oil spill and environmental risk analysis.