Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning.

Area of Science:

• Environmental Science
• Urban Planning
• Water Resource Management

Background:

• Rapid urbanization exacerbates water security issues, including waterlogging, pollution, and shortages.
• Existing ecological planning methods struggle with accurate hydrological spatial analysis and function assessment.
• There is a need for integrated approaches to diagnose ecological problems and plan for water security.

Purpose of the Study:

• To apply Edge Computing (EC) technology for analyzing waterfront green space characteristics.
• To develop an intelligent ecological planning gateway architecture for improved hydrological spatial analysis and ecological planning.
• To optimize water resource management and public health security in urban areas.

Main Methods:

• Collected and analyzed hydrological and ecological data, focusing on water as the core element.
• Researched and identified limitations in previous hydrological spatial analysis techniques.
• Designed and implemented a bottom-up EC architecture comprising field devices, gateways, transmission systems, and cloud platforms.

Main Results:

• The EC-based system effectively detects flood control safety issues and analyzes water source pollution.
• The system predicts sludge treatment needs and medicament dosages based on pollutant characteristics.
• Optimized hydrological spatial analysis and ecological planning methods demonstrated enhanced scientific rigor, efficiency, and scalability.

Conclusions:

• The developed EC architecture provides a scientific and efficient solution for urban water security challenges.
• The system enhances the protection of water sources and public health in rapidly urbanizing areas.
• This research offers a valuable technical foundation for future advancements in ecological planning and water resource management.