Integrated Monitoring and Sensing System for Rivers, Lakes, and Reservoirs
Establish a comprehensive "Space-Air-Ground-Water" integrated eco-environmental monitoring network. By integrating multiple monitoring approaches such as satellite remote sensing, unmanned aerial vehicle (UAV) intelligent inspection systems, ground-based automated monitoring stations, and underwater intelligent detection equipment, we will form an all-encompassing, multi-level, and three-dimensional environmental perception system. This system provides solid data support for ecological and environmental protection decision-making.
Key Monitoring Elements
Water Quality Monitoring: Focuses on tracking core indicators including dissolved oxygen, chemical oxygen demand, ammonia nitrogen, and total phosphorus. Automatic water quality monitoring stations are deployed to enable 24/7 real-time supervision.
Hydrological Monitoring: Involves the deployment of monitoring equipment for discharge, water level, flow velocity and other parameters, establishing a flood early warning system to enhance flood control and regulation capabilities.
Ecological Monitoring: Entails setting up biodiversity observation points to monitor the structural changes of aquatic biological communities and assess the health status of the aquatic ecosystem.
Intelligent Application Platform
Data Management: Establish a unified data center to achieve integrated management and sharing services for multi-source heterogeneous data.
Early Warning and Forecasting: Develop intelligent analysis models to provide decision support for water quality pollution warnings and ecological risk assessments.
Inspection and Supervision: Equip with mobile inspection terminals to achieve closed-loop management of problem detection, handling, and feedback.
Operation and Maintenance Assurance System
Equipment Maintenance: Develop standardized operational procedures and perform regular calibration of monitoring equipment to ensure data accuracy.
Personnel Training: Establish a professional operations team and conduct technical training to enhance system operational efficiency.
Quality Control: Implement full-process quality management and establish data verification mechanisms to guarantee the reliability of monitoring data.
Security Assurance Measures
Cybersecurity: Deploy protective facilities such as firewalls and intrusion detection systems to ensure secure system operation.
Data Protection: Utilize technologies including encrypted storage and access control to safeguard data security.
Contingency Plans: Develop emergency response protocols for system failures to ensure the continuity of monitoring operations.
