Exploring Criteria for Assessing the Severity of Oil Spills

Abstract

Considering the characteristics of the real-time assessment of oil spill severity, this study, by reference to grounded theory and classical statistical methods, proposed a text and data mining model to obtain criteria for assessing oil spill severity. The application of the text and data mining model in the experimental case/scenario, which is designed based on historical data of oil spills in a specific region and those recorded in Lloyd’s casualty database, demonstrated that the proposed model is feasible, universally applicable and requires low overhead. In actual practice, data obtained from casualty investigation reports and casualty databases can be considerably incomplete. Improving the completeness and accuracy of accident data is crucial for the further effective use of the text and data mining model in accident-related research.

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