Construction and Practice of Water Quality Monitoring Systems under the Smart Water Management Framework: A Case of the South-to-North Water Diversion Project
Keywords:
Smart Water Management; Water Quality Monitoring; Internet of Things (IoT); Machine Learning; South-to-North Water Diversion ProjectAbstract
To enhance the efficiency and precision of water quality monitoring and management in the South-to-North Water Diversion Project, this study proposes a water quality monitoring and management system tailored for the project, based on the smart water management framework and combining system design with practical application. The system’s implementation in the South-to-North Water Diversion Project demonstrates its effectiveness in supporting water quality early warning, pollution source tracing, and decision-making optimization, providing a scientific basis for ensuring water supply safety. Additionally, the system achieves dynamic visual presentation of monitoring data, offering managers an intuitive and user-friendly decision-making support tool. The results indicate that the smart water management-based water quality monitoring system significantly improves water quality management capabilities and reduces operational costs, providing valuable practical experience for water quality monitoring in large-scale water diversion projects.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Creative Commons Attribution International License (CC BY 4.0). (http://creativecommons.org/licenses/by/4.0/)