Abstract

In order to restore the ecological health of the Jinsha River Basin, the NSGA-III algorithm is applied to adjust and optimize the flow and water level of the Jinsha River Basin to ensure the ecological and sustainable development of the Jinsha River Basin. With the continuous development of human society, people's influence on society is getting bigger and bigger, and the contradiction between man and nature is becoming more and more prominent. As an essential barrier in the upper reaches of the Yangtze River, the Jinsha River Basin has a great impact on the national ecosystem. Non-dominated Sorting Genetic Algorithm, the Third Version (NSGA-III) algorithm can be used to solve multi-objective optimization problems due to its excellent problem solving capabilities. It is well applied in solving standard constrained optimization problems and has good effects. There are few studies on ecological scheduling. Therefore, considering the current ecological situation of the Jinsha River Basin, the Ningnan County section of the Jinsha River Basin is used as the research area. Furthermore, the NSGAIII algorithm is used to solve the multi-objective model of the Jinsha River Basin during the dry season, thus obtaining the specific situation of the water level, ecological flow and power generation in the area, and finally giving a better scheduling plan to ensure the sustainable development of the ecological health of the Jinsha River Basin. Using NSGA-III algorithm to study the multi-objective ecological scheduling of the Jinsha volume is helpful to the ecological health of the Jinsha River Basin and the economic development of the region. It also has a positive effect on the ecological protection of new water conservancy projects, and also for other domestic watersheds. The ecological scheduling problem provides a certain idea.

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