Development and application of a multi-centre cloud platform architecture for water environment management

Area of Science:

• Environmental Science
• Water Resource Management
• Cloud Computing

Background:

• Effective management of large river basins requires coordinated resources and real-time decision support.
• Existing platforms often lack the integration needed for complex, multi-catchment systems.

Purpose of the Study:

• To develop an integrated, multi-centre cloud platform for intelligent and accurate river basin management.
• To enhance decision-making capabilities through real-time data analysis and predictive modeling.

Main Methods:

• Construction of a multi-centre cloud platform architecture: 3L4C (Cloud-edge-terminal Layer, data centre, model centre, control centre, customer-service centre).
• Implementation of data fusion technology and an air-land-water coupled model.
• Development using HTML5, JavaScript, and Java.

Main Results:

• Successful application of the integrated water environment management platform in the Three Gorges Reservoir Basin.
• Demonstrated capabilities in automatic water quality prediction, pollution analysis, and early warning systems.
• Effective evaluation of emergency water pollution incidents.

Conclusions:

• The 3L4C platform provides a robust solution for real-time water environment monitoring and management.
• The platform significantly supports decision-making for water environment departments.
• Accurate forecasting and display of water environment states improve overall basin management.