Cyanobacterial bloom outbreak early warning method based on mutation theory and improved cuckoo algorithm

Abstract

The invention provides a cyanobacterial bloom outbreak early warning method based on a mutation theory and an improved cuckoo algorithm, and belongs to the technical field of water environment prediction and early warning. The method comprises the steps of carrying out modeling on cyanobacteria growth nonlinear dynamics; optimizing and calibrating parameters in the cyanobacterial growth nonlinearkinetic model by utilizing an improved cuckoo algorithm and a Runge-Kutta method; converting the cyanobacteria growth nonlinear kinetic model into a cusp mutation theoretical model; determining a water bloom outbreak critical point according to a divergence set of the cusp mutation theoretical model; and finally, judging the outbreak of cyanobacterial bloom, and carrying out early warning. According to the invention, a method of combining a numerical method and an intelligent algorithm is adopted; and partial improvement is made on iterative optimization of an intelligent algorithm, the optimization convergence speed is increased, parameters are not simple isotropic random walk, the cyanobacteria growth nonlinear kinetic model is more universal and practical, bloom outbreak can be predicted in time, and a basis is provided for decision-making departments to formulate bloom prevention and control countermeasures.

Description

technical field [0001] The invention relates to a method for predicting and early warning of cyanobacteria bloom, which belongs to the technical field of water environment prediction and early warning. Specifically, according to the growth dynamics of cyanobacteria, the cusp catastrophe theory is used for mathematical modeling, and the improved cuckoo search algorithm is used for parameter calibration, so as to provide a new solution for water bloom prediction and early warning. Background technique [0002] Water body water quality includes water body indicators such as physical factors, chemical elements and biological characteristics of water, and is an important reference factor for measuring the usability of water bodies to society. Eutrophication is a phenomenon in which the excessive content of plant nutrients such as nitrogen and phosphorus causes accelerated reproduction of primary producers such as cyanobacteria and other phytoplankton, which in turn causes water q...

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Problems solved by technology

[0007] The purpose of the present invention is to solve the problems in the existing water bloom prediction and early warning methods that cannot fully reflect the suddenness of water bloom outbreaks, the prediction accuracy of the model is not high, and the late convergence speed of the intelligent algorithm is slow.

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