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According to the experiment and numerical simulation, a multi-objective optimization model for identification of solute and water transport parameters was built up, which use soil water content and the minimum standard deviation of measured and observed water content and solute as optimized objective. A combination of genetic algorithm, finite difference and linear weighted method was applied for calculation. Taking one, two and three groups experimental data as initial data, solute transport parameters in unsaturated soil were obtained and verified by using the experimental data at 1345min. The maximum and minimum correlation coefficient between calculated and measured value of water content were 0.9753 and 0.9450. The maximum and minimum correlation coefficient between calculated and measured value of bromonium ion concentration was 0.9646 and 0.9352. The measured results were well coincided with the calculated results and showed the feasibility of the proposed method.