Quzhou's water treatment application receives national recognition
The water treatment application developed by Quzhou, Zhejiang province has been shortlisted as an outstanding example, as recently announced by the Ministry of Ecology and Environment at the 7th Digital China Summit.
Thirty applications in the country received the honor.
The application, which is the first comprehensive integrated application scenario in the province's water management field, has built operational models providing early warnings and forecasting of water quality, pollution tracing, flood season pollution intensity analysis, and water ecological health assessments.
This initiative creates five major scenarios — panoramic analysis of water environment quality, dynamic assessment of water ecology, precise control of water pollution, comprehensive supervision of drinking water sources, and closed-loop disposal of water environmental issues. It achieves digitalization of water management through real-time perception, intelligent analysis, collaborative management, and closed-loop disposal.
The application has achieved "digital" risk prevention, "digital" enhanced supervision, "digital" efficiency improvement, and "digital" decision support, providing strong support for fine management of water ecological environments and promoting sustained high-level improvement in water environmental quality, according to a staff member of the city's ecology and environment bureau.
As of now, the application collects and periodically aggregates ecological environment data resources in real time from more than 10 departments, including water resources, meteorology, agriculture and rural areas, housing and urban-rural development, transportation, and natural resources.
It has interconnected over 20 business systems at the departmental, provincial, and municipal levels in the ecological environment sector, aggregating over 200 million data records related to water environment quality, industrial pollution sources, sewage treatment plants, hydrological and meteorological conditions, agricultural non-point sources, and other water-related data.