2020
DOI: 10.3390/jmse8090729
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Application of the SOSim v2 Model to Spills of Sunken Oil in Rivers

Abstract: Sunken oil transport processes in rivers differ from those in oceans, and currently available models may not be generally applicable to sunken oil in river settings. The open-source Subsurface Oil Simulator (SOSim) model has been expanded to handle spills of sunken oil in navigable rivers, utilizing Bayesian inference to integrate field concentration data with bathymetric data to predict the location and movement of sunken oil. A novel prior likelihood function incorporates bathymetric input, with sampling gri… Show more

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Cited by 6 publications
(2 citation statements)
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“…Jacketti et al [44] have expanded the open-source Subsurface Oil Simulator (SOSim) model to predict the location and movement of sunken oil in rivers. SOSim is a 2D multi-modal inferential Gaussian model where the general solution of advection-diffusion equation is the premise, while the sunken oil parameters (e.g., velocity, dispersion, number of patches) are inferred as maximum likelihood values from available field data together with the bathymetric data [45].…”
Section: Development Of Decision Support Systemsmentioning
confidence: 99%
See 1 more Smart Citation
“…Jacketti et al [44] have expanded the open-source Subsurface Oil Simulator (SOSim) model to predict the location and movement of sunken oil in rivers. SOSim is a 2D multi-modal inferential Gaussian model where the general solution of advection-diffusion equation is the premise, while the sunken oil parameters (e.g., velocity, dispersion, number of patches) are inferred as maximum likelihood values from available field data together with the bathymetric data [45].…”
Section: Development Of Decision Support Systemsmentioning
confidence: 99%
“…Jacketti et al [44] have first employed the 2D version of model to estimate the movement of sunken oil for the M/T Athos I oil spill, which occurred in the Delaware River (USA) in 2004 and for which field data have been collected. In the next step, the authors have applied the 1D version of the model to estimate the sunken oil characteristics for the 2010 Enbridge Kalamazoo River oil spill, as there was no publicly available bathymetric data to define river boundaries for this event.…”
Section: Development Of Decision Support Systemsmentioning
confidence: 99%