To address the complex structure and the inability to verify traditional pollution diffusion models,a soil pollution diffu-sion model based on multi-strategy improved pelican optimization algorithm was proposed.A quasi Monte-Carlo sequence was introduced to optimize the initial population position of the pelican optimization algorithm.A nonlinear convergent e-index cosine factor was proposed to improve the position update method,and it was combined with a t-distribution mutation perturbation strategy to enhance the algorithm's local optimization ability.The improved pelican optimization algorithm was used to optimize the Gaussian diffusion model and a soil pollution diffusion model was constructed.The average absolute error and root mean square error of the soil pollution diffusion model constructed in a certain area are the lowest,which verifies that the model can be effectively applied to the prediction of soil pollution.
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