Eutrophication assessment and bloom control strategy of water body based on fuzzy rough set algorithm under the development of urban landscape lakes and reservoirs.

Currently, most urban landscape lakes and reservoirs are facing severe water eutrophication and rampant water blooms. To improve water quality environment, a water eutrophication evaluation model and a water bloom strategy model based on fuzzy rough set algorithm are proposed in this study. An improved multidimensional normal cloud model was used to correct assessment uncertainty of water bloom eutrophication. And this experiment used fuzzy rough set to improve casebased reasoning technology to improve water bloom strategy accuracy. The average evaluation accuracy of total nitrogen, total phosphorus, chlorophyll-a, turbidity and chemical oxygen demand in 10 lake cases is 91.56%, 90.83%, 93.15%, 91.69% and 92.77%, respectively. The evaluation results of the simultaneous evaluation model are roughly the same as those of water quality testing center, with an accuracy rate of 95.47%. In addition, the average strategy accuracy based on fuzzy rough set algorithm is 92.15%, and the matching degree for lake A case retrieval is 0.1632, indicating a high degree of similarity. In summary, water eutrophication evaluation model and water bloom strategy model based on fuzzy rough set algorithm proposed by this research institute can accurately evaluate the water eutrophication situation of lakes. And it can accurately search for similar cases of water bloom outbreaks, providing reference value for water body protection and management. [ABSTRACT FROM AUTHOR]