Abstract
We employ a partial-condition designated probabilistic oil spill model based on a Lagrangian particle technique to simulate the Dalian New Port oil spill accident. By correlating the model with aerial images and field observations of oil slicks on the sea surface, the model is applicable for evaluating the probability spatial scattering of the area polluted by the spilled oil. Evidence shows that multiple simulations under specified conditions fit the real distribution and behavior of oil slicks more accurately than those from fully random initial conditions. The findings suggest that the effects of seasonal variations in wind and current dynamics within tidal cycles on spill distribution should be taken into account for estimating the impact of potential oil spills in the North Yellow Sea. A statistical model that considers condition selection could enhance the reliability of risk estimation and enable the application of appropriate recovery operations in contaminated seas.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
