Investigation of Oil Spills from Oil Tankers through Grey Theory: Events from 1974 to 2016

• Main Authors: Dong-Taur Su, Fu-Ming Tzu, Chung-Hung Cheng
• Format: Article
• Language: English
• Published: MDPI AG 2019-10-01
• Series: Journal of Marine Science and Engineering
• Subjects: oil spill; oil tanker; investigation event; grey relational analysis
• Online Access: https://www.mdpi.com/2077-1312/7/10/373

An oil spill from a vessel is a critical maritime accident that can severely damage the environment. In this study; we utilize the basic construction of grey relational analysis to explore oil spill events statistics from 1974 to 2015 and successfully analyze the causes of incidents in 2016. The results illustrate that grey relational analysis effectively identifies the factors causing oil spills with an accuracy of over 96%. The research is aimed to reduce the marine accidents and predict the cause of oil spill in advance. The analysis is dealing with the incidents to approach the circumstance in various intensity of oil spill in the last 40 years. Moreover, an application of grey theory demonstrates accurate and reliable methodology to decision maker. Thus, the investigation can predict the causes of pollution from oil spill accidents in the future.