Abstract
The substantial importance and complexity of oil spill emergency management have been confirmed by the massive, disastrous oil spill accidents that have occurred in recent years. The goal of this study is to research and develop an effective new model to accurately respond to oil spill emergencies for the purpose of disaster risk reduction. In this model, firstly, grey relational analysis is used to treat the variable and complex environment of an oil spill. Secondly, a revised grey relational analysis method based on the concept of angle between two vectors is presented to optimize assessment accuracy by measuring the similarity between the reference series and alternative series. Thirdly, by incorporating expected utility theory, a revised grey relational analysis for facilitating consensus is developed for multicriteria group decision-making. Finally, an empirical study on oil spill emergency management is discussed to demonstrate the feasibility and effectiveness of the proposed model for oil spill emergency management in a complex environment to reduce disaster risk.
Highlights
In recent years, major emergencies have occurred with increasing frequency, including the 9/11 attack in the United States in 2001, the SARS epidemic in 2003, the Indian Ocean tsunami in 2004, the Chinese Wenchuan earthquake in 2008, the Myanmar tropical cyclone Nargis in 2008, the Japanese 9.0-magnitude earthquake in 2011, ailand’s floods in 2011, the Hurricane Sandy in the United States in 2012, European floods of the century in 2013, the Ebola outbreak in 2014, the California shooting incident in 2015, the Nice attack in 2016, thallium pollution of the Jialing River in 2017, the Kuwait Heavy Sandstorm in 2018, and the COVID-19 pandemic
A revised grey relational analysis method using multicriteria group decision-making (MCGDM) with expected utility theory is proposed to respond to oil spill emergencies for disaster risk reduction when a variety of stakeholders and a variable and complex oil spill environment are involved. e main contributions of this study are as follows: (1) A revised grey relational analysis for group decisionmaking technique is proposed to evaluate and implement an emergency plan for responding to unexpected events related to an oil spill
Based on the concept of angle between two vectors, a revised grey relational analysis method is presented to optimize assessment accuracy. irdly, by incorporating expected utility theory, a revised grey relational analysis for facilitating consensus is developed for multicriteria group decision-making
Summary
Major emergencies have occurred with increasing frequency, including the 9/11 attack in the United States in 2001, the SARS epidemic in 2003, the Indian Ocean tsunami in 2004, the Chinese Wenchuan earthquake in 2008, the Myanmar tropical cyclone Nargis in 2008, the Japanese 9.0-magnitude earthquake in 2011, ailand’s floods in 2011, the Hurricane Sandy in the United States in 2012, European floods of the century in 2013, the Ebola outbreak in 2014, the California shooting incident in 2015, the Nice attack in 2016, thallium pollution of the Jialing River in 2017, the Kuwait Heavy Sandstorm in 2018, and the COVID-19 pandemic. Frequent occurrence of unexpected events has resulted in numerous cases of environmental pollution, ecological damage, property losses, and casualties. Accidental oil spill emergency is a significant event that can affect environmentally, ecologically, and economically sensitive marine areas. Disastrous oil spill incidents have caused a great amount of property losses and casualties [1, 2]. Ese oil spill accidents have led to substantial environmental pollution, ecological damage, property losses, and casualties, which have been acknowledged by stakeholders, such as environment agencies, oil companies, and nongovernmental organizations. Since 2007, oil spill accidents have increased worldwide, such as the oil spill in the Russian Arctic in December 2007, the Gulf of Mexico oil spill in the United States in April 2010, the Bohai Bay oil spill in China in June 2011, the Alberta oil spill in Canada in 2012, the marine oil spill in ailand in 2013, the oil spill in Galveston Bay in the United States in 2014, the crude oil spill in Wayaobao in China in 2015, the California oil spill emergency in 2016, the Dalian oil pipeline explosion accident in 2017, a sudden explosion of the Panamanian tanker “Sangji” in 2018, and the oil spill in Brazil in 2019. ese oil spill accidents have led to substantial environmental pollution, ecological damage, property losses, and casualties, which have been acknowledged by stakeholders, such as environment agencies, oil companies, and nongovernmental organizations. e
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