A hybrid mechanism modeling method was proposed, which synthesized the advantages of ecological dynamic model and data-driven model.

A function model library of key impact factors in algal bloom formation was first established, and then Tabu Search and Genetic Algorithm were applied for model structure optimization and parameters calibration.

Other contrast models including data-driven model and ecological mechanism model of algal bloom formation were added.

To verify effectiveness of the modeling method, laboratory data and practical data were applied for the hybrid mechanism model.