Ye Xudong, Zhang Baiyu, Lee Kenneth, Storesund Rune, Song Xing, Kang Qiao, Li Pu, Chen Bing
Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Memorial University of Newfoundland, Faculty of Engineering and Applied Science, St. John's, NL A1B 3X5, Canada.
Environment and Biodiversity Science Branch, Fisheries and Oceans Canada, Ottawa, ON K1A 0E6, Canada.
J Hazard Mater. 2024 May 5;469:133832. doi: 10.1016/j.jhazmat.2024.133832. Epub 2024 Feb 20.
Effective marine oil spill responses are vital to reduce environmental, societal, and economic damage. This study developed a Multi-Criteria Emergency Response System (MC-ERS) to comprehensively evaluate response efficiency, operational costs, and environmental losses. The proposed system integrates dynamic multiphase simulation of oil weathering and oil cleanup processes and further provides effective planning for multi-stage resource allocation through system optimization. The developed weight-sum model improved the performance of response operations by reducing the complexity of multi-criteria decision-making. Particle Swarm Optimization (PSO) was chosen as the foundational optimization algorithm due to its efficiency in rapid convergence and suitability for complex problems. From extensive comparisons of PSO variants across benchmark functions and inertia strategies, the C-PSO algorithm was developed, demonstrating enhanced optimization performance for MC-ERS. The developed modelling system performance was demonstrated and evaluated through a representative case study. The optimization plan coordinated resource allocation from onshore warehouses to harbors and spill sites, balancing oil recovery efficiency, costs, and ecological losses. Optimized results indicate an oil recovery of up to 76.50% in five days. Additionally, the system cuts costs by 3.45% and environmental losses by 15.75%. The findings enhance the efficiency of marine oil spill emergency response and provide support for such incidents.
有效的海上溢油应急响应对于减少环境、社会和经济损害至关重要。本研究开发了一种多标准应急响应系统（MC-ERS），以全面评估响应效率、运营成本和环境损失。该系统整合了油类风化和油污清理过程的动态多相模拟，并通过系统优化进一步为多阶段资源分配提供有效规划。所开发的加权求和模型通过降低多标准决策的复杂性，提高了响应行动的性能。由于粒子群优化算法（PSO）在快速收敛方面的效率以及对复杂问题的适用性，被选为基础优化算法。通过对PSO变体在基准函数和惯性策略方面的广泛比较，开发了C-PSO算法，展示了其对MC-ERS的增强优化性能。通过一个具有代表性的案例研究，对所开发的建模系统性能进行了演示和评估。优化方案协调了从岸上仓库到港口和溢油地点的资源分配，平衡了石油回收效率、成本和生态损失。优化结果表明，五天内石油回收率高达76.50%。此外，该系统将成本降低了3.45%，环境损失降低了15.75%。这些发现提高了海上溢油应急响应的效率，并为此类事件提供了支持。
