Journal of Engineering Research

The development of industry and the rapid growth of the urban population create serious surface water pollution, simultaneously relying on surface water resources more than before. Therefore, online surface water monitoring systems have been developed throughout the country to monitor surface water quality in real-time. In this study, establish a fuzzy comprehensive evaluation model based on the entropy weight method (FCE-EW), and the real-time monitoring data of 12 stations in Hangzhou in Jun 2022 were used for evaluation and data analysis. The results show that most stations’ water quality is good except for Xixi wetland station and Sanyi Village station. Both are still in poor V class and need to be improved urgently. These two stations are in the nature-man-made composite sceneries and have similar pollution types. They are caused by much lower dissolved oxygen levels in the water and excessive eutrophication of the water. It is suggested to refine and prevent the water quality through two methods: to improve the water flow rate and avoid the invasion of plant species and overgrowth.

Surface water monitoring; FCE-EW; Data analysis; Eutrophication