Analysis of Factors Affecting the Effectiveness of Oil Spill Clean-Up: A Bayesian Network Approach

Ship-related marine oil spills pose a significant threat to the environment, and while it may not be possible prevent such incidents entirely, effective clean-up efforts can minimize their impact on environment. The success of these is influenced by various factors, including accident-related factors as type accident, location, environmental weather conditions, well emergency response-related available resources response actions. To improve targeted responses resulting from ship accidents enhance spill methods, essential understand that affect effectiveness. In this study, data-driven Bayesian network (TAN) analysis approach was used with data U.S. Coast Guard (USCG) identify key performance. found amount discharge, severity, location accident are most critical affecting ratio. These findings for management planning efforts.