CORAL GABLES, FL (May 26, 2010)--A team of researchers at the University of Miami (UM) has developed a computer model for finding and projecting in time sunken oil masses on the bottom of bays, after an oil spill. The unique model can be used in oil spill planning, response, and recovery applications.
"Sunken oil is difficult to 'see' because sensing techniques show only a small space at a point in time. Moreover, the oil may re-suspend and sink, with changes in salinity, sediment load, and temperature, making fate and transport models difficult to deploy and adjust,"
These are images showing relative concentrations of sunken oil on the bottom of a bay inlet, assessed for a simulated spill scenario. The new computational model was developed by a team of researchers at the University of Miami headed by Dr. James Englehardt, UM professor of environmental engineering in the College of Engineering. The unique model can be used in oil spill planning, response and recovery applications.
(Photo Credit: Maria Angelica Echavarria Gregory, Pedro M. Avellaneda and James Englehardt.)says James Englehardt, UM professor of environmental engineering in the College of Engineering and team leader for the project. "For these reasons, we have developed a unique approach to the problem, bridging sampling plan techniques with pollutant transport modeling, to create models of sunken oil.
The model was developed for the Emergency Response Division of NOAA/NOS/OR&R (NOAA's Ocean Service Office of Response and Restoration), in Seattle, and the project was funded by the Coastal Response Research Center, University of New Hampshire.
These are images showing relative concentrations of sunken oil on the bottom of a bay inlet, assessed for a simulated spill scenario. The new computational model was developed by a team of researchers at the University of Miami headed by Dr. James Englehardt, UM professor of environmental engineering in the College of Engineering. The unique model can be used in oil spill planning, response, and recovery applications.
(Photo Credit: Maria Angelica Echavarria Gregory, Pedro M. Avellaneda and James Englehardt.)
The two-year project had three main objectives:
These are images showing relative concentrations of sunken oil on the bottom of a bay inlet, assessed for a simulated spill scenario. The new computational model was developed by a team of researchers at the University of Miami headed by Dr. James Englehardt, UM professor of environmental engineering in the College of Engineering. The unique model can be used in oil spill planning, response and recovery applications.
(Photo Credit: A. Echavarria Gregory, P. Avellaneda and James Englehardt)Source: University of Miami