The quantitative calculation of pollutant transport remains challenging in air-pollution research. Based on Mie's theory, a quantitative calculation method for calculating dust flux was established using lidar-network and surface-composition observations. Subsequently, it was applied to the quantitative analysis of sand-dust flux and the investigation of the effects on the atmospheric condition during the dust process from April 10 to 14, 2023. The results show that the total net inputs of PM₁₀ and PM_2.5 in Zhejiang province are 27894 t and 5930 t during the dust process, respectively, thus indicating that the input sand-dust primarily comprised coarse particulate matter. The net input of PM₁₀ per unit area in Hangzhou-Jiaxing-Huzhou is the largest, i.e., 0.523 to 0.598 t·km^-2, followed by those of Jinhua, Quzhou, and Lishui, i.e., 0.240, 0.235, and 0.114 t·km^-2, respectively. Except Quzhou with 0.083 t·km^-2 and Lishui with 0.049 t·km^-2, the net inputs of PM_2.5 per unit area in other areas are similar, ranging from 0.050 to 0.066 t·km^-2. The input of sand dust increases the atmospheric particle concentration, decreases the PM_2.5/PM₁₀ ratio, and increases the depolarization ratio. However, these effects weakened gradually owing to the sedimentation of sand dust and the binding of urban aerosols during transport. Additionally, the contents of ozone, CO₂, and CH₄ decreased. The volume fractions of CO₂ and CH₄ no longer exhibit the daily variation characteristics of high during the day and low at night, which is attributable to the effect of sand-dust on meteorological conditions such as temperature and water vapor density. In summary, sand-dust input can provide soil supplementation, affect meteorological conditions, and mitigate the greenhouse effect.