Abstract: Abstract The Lagrangian method and the Euler-Lagrangian method in the interface tracking method have low computational efficiency. They are not suitable for large deformation, and can not be applied to three-dimensional numerical calculation models. An Euler motion interface tracking method is applied to calculate the migration characteristics of gas-liquid two-phase interface with high efficiency and clear interface and suitable for three-dimensional models. This method uses the "米" shaped adjacent grid Youngs method for interface reconstruction. The Youngs-VOF and level set are coupled by geometric methods, so it can improve the accuracy of the interface, and overcome the defects of the VOF method and level set method, and avoid to solve the level set convection equation and the distance function equation with its own stability of the high-order derivation. The "米" shaped adjacent grid Youngs method is used to avoid the situation that the captured interface was blurred due to numerical dissipation and numerical dispersion, as well as nonlinear effects. The Youngs-VOF coupled level set method not only ensures the stability of the computing interface, but improves the computational efficiency compared with the Lagrangian method. The Youngs-VOF coupled level set method and VOF method is designed to simulate the rising process of a single bubble in water. After compared, the Youngs-VOF coupled level set method is more efficient and sharper than the VOF method. By using the Youngs-VOF coupled level set method and the VOF method to numerically calculate the circular motion interface model in the classical shear flow field, it is verified that the Youngs-VOF coupled level set method can better calculate the interface curvature compared with the VOF method. Through the numerical calculation of the break dam-free surface flow process and compared with the experiment, the stability of the Youngs-VOF coupled level set method are verified. And the Youngs-VOF coupled level set method can be applied to the three-dimensional numerical models.