Port pollution prediction and management via multi-view intelligent computing: A case study of Tianjin Port

Key Points

• Port pollution prediction improves management strategies for environmental protection, enhancing decision-making.
• Using intelligent computing methods, the study analyzes various factors affecting pollution levels at Tianjin Port.
• Data management techniques integrate multi-view analysis of pollution sources and their impacts on the port environment.
• Significant improvements in pollution management may enable more sustainable operations at busy ports.