An Emergency Scheduling Model for Oil Containment Boom in Dynamically Changing Marine Oil Spills: Integrating Economic and Ecological Considerations
Marine oil spills pose substantial risks to human society and ecosystems, resulting in significant economic and ecological consequences. Timely containment of oil films is a complex and urgent task, in which the efficient scheduling of oil containment booms plays a crucial role in reducing economic...
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| Published in: | Systems (Basel) Vol. 13; no. 8; p. 716 |
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01.08.2025
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| Abstract | Marine oil spills pose substantial risks to human society and ecosystems, resulting in significant economic and ecological consequences. Timely containment of oil films is a complex and urgent task, in which the efficient scheduling of oil containment booms plays a crucial role in reducing economic and ecological losses caused by oil spills. However, due to dynamically changing marine oil spills, the length of boom required and the losses caused by oil spills are inherently uncertain. This study aims to optimize the containment of oil films, exploring the interrelationships among oil films, spill losses, and scheduling decisions for booms. By incorporating economic and ecological losses into decisions, this study proposes a scheduling model for oil containment booms to minimize spill-related losses while reducing scheduling time. Additionally, an improved Multi-Objective Grey Wolf Optimization algorithm is used to solve the problem. A hypothetical case study is then conducted in the Zhoushan sea area of the East China Sea. The proposed scheduling scheme achieves a containment time of 8.9781 h and reduces total spill losses to CNY 313.68 million. Compared with a scheme that does not consider spill losses, the proposed method achieves a nearly 24% reduction in losses while maintaining comparable efficiency. |
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| AbstractList | Marine oil spills pose substantial risks to human society and ecosystems, resulting in significant economic and ecological consequences. Timely containment of oil films is a complex and urgent task, in which the efficient scheduling of oil containment booms plays a crucial role in reducing economic and ecological losses caused by oil spills. However, due to dynamically changing marine oil spills, the length of boom required and the losses caused by oil spills are inherently uncertain. This study aims to optimize the containment of oil films, exploring the interrelationships among oil films, spill losses, and scheduling decisions for booms. By incorporating economic and ecological losses into decisions, this study proposes a scheduling model for oil containment booms to minimize spill-related losses while reducing scheduling time. Additionally, an improved Multi-Objective Grey Wolf Optimization algorithm is used to solve the problem. A hypothetical case study is then conducted in the Zhoushan sea area of the East China Sea. The proposed scheduling scheme achieves a containment time of 8.9781 h and reduces total spill losses to CNY 313.68 million. Compared with a scheme that does not consider spill losses, the proposed method achieves a nearly 24% reduction in losses while maintaining comparable efficiency. |
| Audience | Academic |
| Author | Xu, Yuanyuan Zhang, Linlin Zhao, Dan Liu, Guiyun Zheng, Pengjun |
| Author_xml | – sequence: 1 givenname: Yuanyuan surname: Xu fullname: Xu, Yuanyuan – sequence: 2 givenname: Linlin surname: Zhang fullname: Zhang, Linlin – sequence: 3 givenname: Pengjun surname: Zheng fullname: Zheng, Pengjun – sequence: 4 givenname: Guiyun orcidid: 0000-0002-7572-4703 surname: Liu fullname: Liu, Guiyun – sequence: 5 givenname: Dan surname: Zhao fullname: Zhao, Dan |
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| SubjectTerms | Algorithms Analysis Case studies Containment Decision making Decisions economic and ecological losses Economic aspects Ecosystems Efficiency Emergency communications systems emergency resource scheduling Environmental cleanup Marine accidents marine oil spills Mathematical optimization Multiple objective analysis oil containment boom Oil films Oil spills Optimization Scheduling Wolves |
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| Title | An Emergency Scheduling Model for Oil Containment Boom in Dynamically Changing Marine Oil Spills: Integrating Economic and Ecological Considerations |
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