Abstract: Accurate and prompt prediction of radioactive material dispersion in the atmosphere after a nuclear power plant accident is essential for crafting effective radiation protection strategies. This research leverages the WRF and FLEXPART-WRF models to conduct a virtual simulation of a hypothetical nuclear incident in a power station located in Zhejiang Province, China. The study scrutinizes the effects of WSM3, Thompson, and CAM5.1 three cloud microphysics parameterization schemes on the modeling of Cs-137 dispersion during typhoon conditions and examines the transport and diffusion patterns of Cs-137 concentrations. The results are as follows. The simulated wind patterns and precipitation from the three schemes closely match the empirical observations, with the CAM5.1 scheme achieving the highest overall simulation accuracy. The transport and diffusion profiles of Cs-137 concentrations are heavily influenced by the simulated meteorological conditions, exhibiting significant variations among the different microphysics schemes. The CAM5.1 scheme, in particular, displays the broadest dispersion of near-surface concentrations, corresponding to the widest spread of rainfall. The variations in dry deposition are relatively uniform across all three schemes. Cs-137 concentrations are primarily driven by wet deposition, which peaks sharply within the initial 12 hours of the simulation and then levels off. The Thompson scheme experiences the highest wet deposition peak, the WSM3 scheme falls in the middle, and the CAM5.1 scheme exhibits the lowest peak.