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
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[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.
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