| 英文摘要 |
To effectively monitor the water environment and protect the water quality, the Ministry of the Environment (MOENV) has launched the Water Quality Internet of Things Program since 2017. The program promoted comprehensive development, covering the R&D of sensor components, field deployment, data analysis, and value-added applications, and promoted the Application Project for the Deployment of Water Quality Sensors in 2020 and 2021, aiming to apply water quality sensors in the water environment and establish operational guidelines for the use in law enforcement.
The project builds on past achievements and continues to cooperate with Department of Water Quality Protection of MOENV, Northern, Central, and Southern Branches of Environment Management Centers of Environmental Management Administration under the MOENV, and Irrigation Agency of Ministry of Agriculture to deploy 30 water quality sensors in rivers, industrial areas, high pollution potential areas, irrigation canals, and areas of public concern. A total of 45 sites were deployed during this phase of the project. 228 abnormal water quality events were detected, and 11 cases of illegal wastewater discharge were identified.
In addition, to enhance implementation effectiveness and reduce manual operation time, the project provides automated system services, offering water quality trend analysis, hotspot analysis, geographic information systems, environmental analysis, analysis of abnormal water quality events, and notification of abnormal water quality events. Related units can quickly detect suspicious areas and businesses through the automated system services, assisting in relevant inspection operations.
In order to improve the application efficiency of water quality sensors, the project analyzes historical data from water quality sensors alongside MOENV’s water quality sampling data, and deploys flow rate equipment in Erren River and Beigang River to understand the relationship between water quality and quantity, providing a reference method for accurate analysis of changes in water quality data.
In summary, the project implements the deployment of water quality sensors, data analysis and other related operations, and provides automated system services. In addition, through conferences and education training, the implementation experiences and results of the project have been shared with relevant units to enhance the project's overall effectiveness. It is recommended that water quality sensors be widely and continuously deployed in the future to achieve comprehensive and intelligent water quality monitoring throughout the country.
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