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Tabu Search and Genetic Algorithm Optimization Prediction Method for Time-varying Model of Algae Bloom Mechanism

A genetic algorithm and tabu search technology, applied in the field of environmental engineering, can solve problems such as the inability to predict water blooms and the low environmental adaptability of the mechanism model of water blooms, so as to improve environmental adaptability and accuracy, improve environmental adaptability, and improve The effect of accuracy

Active Publication Date: 2017-02-15
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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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

Method used

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  • Tabu Search and Genetic Algorithm Optimization Prediction Method for Time-varying Model of Algae Bloom Mechanism
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  • Tabu Search and Genetic Algorithm Optimization Prediction Method for Time-varying Model of Algae Bloom Mechanism

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Embodiment 1

[0081]The simulation experiment of algae bloom generation in urban lakes and reservoirs was carried out. The experimental water samples were taken from Yuyuantan Park in Beijing, and the chlorophyll content was obtained by using the YSI6600 multi-functional online water quality analyzer. The total phosphorus P, total nitrogen N, water temperature T, and dissolved oxygen DO were used as the influencing factors of water bloom. The simulation experiment measures a set of data every hour. Each set of data includes the data of chlorophyll content and four influencing factors of total phosphorus, total nitrogen, water temperature and dissolved oxygen. A total of 60 sets of data are measured, and the first 50 sets of data are used to establish the optimal water bloom Generation mechanism time-varying model and fitting verification, the last 10 sets of data are used for prediction verification of the optimal algal bloom generation mechanism time-varying model prediction formula.

[00...

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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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06N3/12
Inventor 王小艺施彦王立许继平于家斌姚俊杨
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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