Lake-reservoir algal bloom generating mechanism time varying model optimization and prediction method based on taboo searching algorithm and genetic algorithm

Abstract

The invention discloses a lake-reservoir algal bloom generating mechanism time varying model optimization and prediction method based on a taboo searching algorithm and a genetic algorithm. The method comprises the steps that first, a water bloom generating mechanism time varying model is established; second, an influence factor function model base is established; third, based on the genetic algorithm, water bloom generating mechanism time varying model parameters are optimized; fourth, based on the taboo searching algorithm, a water bloom generating mechanism time varying model structure is optimized, and influence factors are analyzed; and fifth, optimum water bloom generating mechanism time varying model prediction is carried out. According to the method, a time variable is introduced into the water bloom generating mechanism model, the water bloom generating mechanism time varying model is established, so that the method is suitable for simulating a water bloom generating process and can be used for water bloom prediction, and the problem that water bloom prediction based on a data driving model is not accurate enough, and a mechanism driving model cannot predict water bloom is solved.

Description

technical field [0001] The invention relates to a time-varying model optimization and water bloom prediction method for algae bloom formation mechanism in a lake reservoir, belonging to the technical field of environmental engineering. Background technique [0002] With the development of economy and society, water eutrophication has become a major global water environment problem. With the intensification of eutrophication in global water bodies, algal blooms in lakes are becoming more and more common. The outbreak of algae blooms has destroyed the biodiversity in the water body and seriously restricted the economic construction and social development. Therefore, in-depth research on the generation process of algal blooms and effective simulation and prediction of algal bloom outbreaks, an unconventional emergency, are of great significance for promoting water environment protection and technological progress. [0003] At present, the research on modeling process of algae...

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Problems solved by technology

[0007] The purpose of the present invention is in order to solve the problem that existing water bloom generation mechanism model environment adaptability is not high and can't be used for water bloom prediction, introduces time variable to water bloom generation mechanism model, and based on tabu search and genetic algorithm Generate a time-varying model of the mechanism to optimize the model structure and model parameters to improve the environmental adaptability and accuracy of the model, and realize the prediction of water blooms based on the time-varying model of the generation mechanism of water blooms

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