Lake group multi-target water quality and water quantity optimizing and scheduling method

Abstract

The invention provides a lake group multi-target water quality and water quantity optimizing and scheduling method. A lake group distribution type water power and pollutant migration and coupling model is established, spatial and temporal distribution of lake group flow fields and pollutants under a typical scheduling scheme is simulated, and hereby a water quality predicating knowledge base is constituted. A BP neural network model is designed, through training of the knowledge base, BP neural network parameters are optimized, and a lake pollutant concentration predicating BP neural network model is established. Maximization of the improving degree of the lake group water quality and minimization of economic cost are taken as targets to establish the multi-target water quality and water quantity optimizing and scheduling model. The hybrid particle swarm optimization is used for solving the model, a lake pollutant concentration predicating BP neural network is adopted in the iteration solving process to calculate out the concentration of pollutants of lakes at the end of the scheduling stage, and finally a decider can preferably choose from multi-target optimizing and scheduling scheme sets with different water leading amounts and water leading time. The environment of lake water can be improved to the maximum under the premise that comprehensive benefits are taken into consideration, and the lake group multi-target water quality and water quantity optimizing and scheduling method can be widely applied to lake group water net scheduling.

Description

technical field [0001] The invention belongs to the intersecting technical field of environmental hydraulics and operations research, and in particular relates to a multi-objective water quality and water quantity optimization scheduling method for lake groups. Background technique [0002] The water network dispatching of the lake group refers to: diverting clean water into the lake through water diversion facilities, improving the water environment quality of the lake, so as to realize the sustainable development of the regional social economy and the ecological environment of the lake. The current water volume regulation of lakes is mostly based on empirical methods, while the optimal water volume scheduling of lakes is mainly based on analytical methods. The modeling of this method is relatively simple, and the description of the problem has been simplified and approximated to varying degrees. Therefore, its application has Due to certain limitations, it is difficult to ...

AI Technical Summary

Problems solved by technology

The current water volume regulation of lakes is mostly based on empirical methods, while the optimal water volume scheduling of lakes is mainly based on analytical methods. The modeling of this method is relatively simple, and the description of the problem has been simplified and approximated to varying degrees. Therefore, its application has Due to certain limitations, it is difficult to obtain the optimal scheduling scheme for the optimal scheduling of lake water volume

Images